bluuebunny/crossref_metadata_2025 huggingface dataset:
48 Ay Ve Daha Küçük Çocuğu Olan Ebeveynlerin Çocukluk Çağı Aşılarına Yönelik Bilgi, Tutum Ve Davranışlarının İncelenmesi
Authors: MERCAN Yeliz , ÖZTEMEL Çiğdem , BULUT Seda
Published: June 2023

Amaç: Bu araştırmada 48 ay ve daha küçük çocuğu olan ebeveynlerin çocukluk çağı aşılarına yönelik bilgi, tutum ve davranışlarının incelenmesi amaçlanmıştır.
Yöntem: Kesitsel tipteki bu araştırma Kırklareli’nde yaşayan 18 yaş ve üzeri 48 ay ve daha küçük çocuğa sahip 158 ebeveyn ile yürütülmüştür. Veriler araştırmacılar tarafından hazırlanan Tanımlayıcı Bilgi Formu ve Çocuk Aşıları Konularındaki Ebeveynlerin Tutumları Ölçeği ile toplanmıştır.
Bulgular: Yaş ortalaması 31,81±5,07 olan katılımcıların %84,2’si kadındır. Katılımcıların %97,5’i aşının gerekli olduğunu, %73,4’ü ateşi 38 derecenin üzerinde olan bir çocuğa aşı yapılmayacağını, %77,2’si aşıların yan etkisi olduğunu bilmektedir. Ebeveynlerin %94,3’ü aşı karşıtlığı veya tereddüttü ile ilgili duyduğu gündemin kendisini etkilemediğini bildirmiştir. Araştırma grubunun %98,1’i son çocuğuna aşıların zamanında yapıldığını beyan etmiştir. Ulusal Aşı Takvimine göre her bir aşı için incelendiğinde; araştırma grubunun %78,3-%98,7’si son çocuğuna aşıların zamanında yapıldığını, %0,7-%8,0’ı aşılarını gecikmeli olsa da yaptırdığını ifade etmiştir. Aşılarını yaptırmayanların oranları ise %1,3-%19,6 arasındadır. Aşıların gerekli olduğunu düşünenlerin ve aşı karşıtlığı veya tereddüttü ile ilgili duyduğu gündemden etkilenmeyenlerin (p<0,01) Çocuk Aşıları Konularındaki Ebeveynlerin Tutumları Ölçeği toplam ve tüm alt boyutlarda sıra ortalamaları düşük saptanmıştır. 35 yaşından küçük olanların davranış alt boyutunda sıra ortalaması düşük iken (p=0,018) ve Emniyet & Etkililik alt boyutunda sıra ortalaması yüksek saptanmıştır. Toplam üç çocuğa sahip olan ebeveynlerin davranış (p=0,001) ve genel tutum (p=0,039) sıra ortalamaları yüksek saptanmıştır. Yenidoğan aşı zamanı doğru bilenlerin toplam (p=0,006) ve genel tutum (p=0,001) sıra ortalamaları düşük saptanmıştır.
Sonuç: Aşıların gerekli olduğunu düşünen, aşı karşıtlığı veya aşı tereddütü ile ilgili duyduğu gündemden etkilenmeyen ebeveynlerin çocukluk aşılarına karşı olumlu tutum sergiledikleri bulunmuştur.
A Case Study on the Accessibility Factors of the Elderly in Kota Kinabalu, Sabah
Authors: Mohd Noor Harifah , Ladin Mohd Azizul , Md Ramli Adilah , Sulistyo Joko
Published: June 2023

The ageing population is a phenomenon in countries worldwide. The elderly will be marginalised when they travel less due to inaccessibility. This study distributed questionnaires to 600 elderly aged 60 and above in Kota Kinabalu. Factor Analysis is used to analyse 28 parameters of the factor implemented accessibility towards their living requirements. This study developed four main factors: personal, land use, transportation facilities, and temporal. Due to their physical incapacity, the land use aspect has the most significant concern. The findings can assist the government and agencies in implementing policies and strategies to fulfil the mobility needs of the elderly.
Comparison of Landmarks in Medan, Bukittinggi, and Siak as Heritage Tourism
Authors: Ginting Nurlisa , Rahman N. Vinky , Nasution Achmad Delianur
Published: June 2023

As part of heritage tourism features, landmarks play a vital role in enhancing a city's identity to make it more attractive and recognizable. Sumatra has heritage tourism with a similar culture and history to Medan, Bukittinggi, and Siak. This study aims to determine how this Landmark compares with similar heritage tourism in Sumatra. The third essential element of landmarks, iconography, contrast, and accessibility, was examined using the mixed-method. This study shows that monumental architecture and historical histories have become landmarks in the three historical tourist cities.
A Correlation Analysis between the Sense of Direction and Spatial Visualization in the Wayfinding System of a Complex Environment
Authors: Shamsuddin Nik Atilla Atasha , Che Din Sharkawi , Saruwono Masran , Suryantini Rini
Published: June 2023

This paper presents the findings of an ongoing study that explores the potential relationship between visitors' sense of direction and spatial ability in the context of navigation experience on a university campus. A structured questionnaire and tests were administered to 57 visitors who were unfamiliar with the Universiti Teknologi MARA, Puncak Alam, Selangor campus. The findings suggest that visitors' sense of direction and spatial ability are not significantly correlated. Although previous research has demonstrated a positive correlation between spatial visualization ability and a sense of direction, the relationship between these two factors may be more complex. Effective wayfinding systems require the consideration of visitors' spatial ability, as well as other cognitive processes involved in wayfinding, such as attention, memory, and decision-making of visitors' spatial ability as well as other cognitive processes involved in wayfinding, such as attention, memory, and decision-making. The findings of this study arguably contribute to the discussion of navigation and wayfinding in a complex environment.
Effect of e-Service Quality on Customer Engagement Behaviors: Insight from the hotels in Malaysia
Authors: Mohd Ridzuan Nur Amira , Hamid Rasidah , Azman Ong Mohd Hanafi , Pratiwi Ilma Indriasri
Published: June 2023

The reopening process has begun Covid-19, especially in the hotel operation. Therefore, the hotel industry must understand the need to influence customers' choices through advanced of information technology (IT). This study is intended to explore the effect of t e-service quality on customer engagement behaviors in Malaysian hotels. This study was analyzed via PLS-SEM with 247 respondents. The findings indicate that system availability significantly influences customer engagement behaviors, followed by efficiency, system availability, privacy/security, and fulfillment. Based on what this study found, Malaysian hotel service providers will be able to improve the quality of their e-services to get customers more involved.
Keywords: e-service quality, customer engagement, hotel industry, website.
eISSN 2514-751X © 2022. The Authors. Published for AMER &  cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers and cE-Bs (Centre for Environment-Behaviour Studies), College of Built Environment, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/aje-bs.v7i22.410
Evaluation of Selected Properties of Modified Sapium Baccatum and Neolamarckia Cadamba
Authors: Abdul Karim Siti Rafedah , Abdul Kadir Yanti , Abdul Karim Azrena , Dungani Rudi
Published: June 2023

This study was to evaluate the selected performances of modified Ludai (Sapium Baccatum) and Kelempayan (Neolamarckia Cadamba) wood species.  Ludai and Kelempayan were impregnated with acetic anhydride at 80°C, 100°C, and 120°C for 15, 30, 60, 180, 300, and 420 min without catalyst. The highest WPG of 16% and 14% for Ludai and Kelempayan were obtained.  VC% ranging from 0.5% to 10% were obtained.  The ultimate OH-groups substituted of acetylated Ludai and Kelempayan at 120°C were 3.77 mmoles/g and 3.98 mmoles/g, respectively. Unlike the conventional preservative treatment in the industry today, wood-acetyl bonds pose a positive impact on the ecosystem.
Understanding the Digital Storytelling Process for Museum Exhibition through Content Analysis
Authors: Rosli Hafizah , Kamaruddin Norfadilah , Wirasari Ira , Isa Badrul
Published: June 2023

This research aims to identify, through various experts and scholars, of established digital storytelling process. The museum's environment has seen a substantial shift. Technology has allowed new engagement, visitor expectations have increased, rivalry for time and resources has risen, and buildings now serve more complex functions. There is no sign of a digital storytelling guideline for curators in Malaysia, even though digital storytelling has begun to emerge. Using content analysis, qualitative research methodology was employed. This finding establishes four primary processes and eight subprocesses for digital storytelling among experts and scholars.
Technical Design and Production of Special Effects in Musical Theatre Performances
Authors: Hashim Hafshizan , Zulkepeli Mohd Kamil , Abd Rahman Khairul Aidil Azlin , Siu K.W.M.
Published: June 2023

In contrast to the other theatre form, which requires a more predominately dominant combination of acting, singing, music, and choreography, a musical theatre performance is a sophisticated piece of art. Similarly, paying greater attention to the technical special effects design is essential, especially throughout its production process. In order to clarify their requirements and design objectives, this study explores the features of the technical special effects used in the selected case studies. The result shows how well the entire musical theatre production includes customisation requirements and solutions in developing the technical design of special effects production.
Mechanism of Green Finance Awareness on Sustainable Competitiveness of Enterprises
Authors: Chen Chong , Chong Kim Mee , Tan Tze Horng , Wang HuiWen
Published: June 2023

One phenomenon observed during environmental problems was increased green finance in most countries. This study explores the mechanisms of green finance, sustainable competitiveness, and supply chain among SMEs. Self-administered online questionnaires were completed by 738, 314, and 210 senior managers respectively from China, Malaysia, and Singapore. SPSS and Smart PLS-SEM software were used to test the hypotheses. This study aligns with Sustainable Development Goal 11, i.e., sustainable cities and communities, and Sustainable Development Goal 13, i.e., climate action. This study echoes the China government's "double-carbon" target initiative presented in the 75th session of the United Nations General Assembly.
Phenomenon of Digital Addiction among Rural Digital Juveniles: A survey in rural China
Authors: Gao XinXiang , Pertheban Thillai Raja , Chong Kim Mee , Ji Meiyu
Published: June 2023

Digital addiction among China's rural juveniles escalates and hampers the harmony and stability of families and society. This paper investigates digital addiction among rural juveniles in China. Semi-structured interviews selected six relevant respondents in rural Shaanxi Province as samples. The study explores the degree, characteristics, causes, effects, and prevention and control of rural juveniles' digital addiction. The findings reveal the importance of digital literacy education, parent-child cognitive dislocation, and the complexity of rural juveniles' digital addiction. The study has limitations, including its limited research perspective and the need for more typical cases for analysis and discussion.
Traditional Food Entrepreneurs in Sabah and Selangor States: A qualitative perspective
Authors: Md Ramli Adilah , Saad Mazni , Md Shariff Mohd Shazali , Sulistyo Joko
Published: June 2023

This study aimed to explore local entrepreneurs during the COVID-19 pandemic in Sabah and Selangor states. Twenty participants from the selected business categories were identified and interviewed using a semi-structured question. Two themes: Food category (coded: categories of food; type of food) and Business criteria (coded: experience, customer, type of business). Entrepreneurs from both states adapt to the changes due to the COVID-19 pandemic by implementing new methods to sustain their business, customer, and type of business. The concerned entrepreneurs must adapt to the changes due to the COVID-19 pandemic by implementing new methods to sustain their business life.
Oсобенности в поведении удельного сопротивления природного пирита n-типа в области температур, предшествующих наступлению собственной проводимости
Authors: Степанов Н.П. , Грабко Г.И.
Published: June 2023

The results of the investigation of the hole nature pyrite sample FeS2 are presented. The regularities of change of their electrical properties with increasing temperature in the mode of uniform heating to 635 К are established. The results obtained are analyzed in terms of the dependence of the diffusion intensity of charge carriers from temperature and materials characteristics.
Стабилизация сверхпроводниковых защитных резисторов посредством сетчатой электрической изоляции
Authors: Мальгинов В.А. , Флейшман Л.С.
Published: June 2023

The possibility of using high-temperature superconductors of the second generation in protective resistors (HTS resistors) for electrical equipment is considered. It is proposed to use mesh fiberglass electrical insulation in the HTS resistors to ensure the efficiency of the heat sink and maintain a stable overloaded operation. Physical modeling of such resistors was performed, which showed the preservation of their overload capability and the suppression of thermal instabilities due to the presence of mesh insulation.
Протяженный гибкий терагерцевый волновод с малым ослаблением
Authors: Маргушев З.Ч. , Бжеумихов К.А. , Назаров М.М.
Published: June 2023

The possibility of fabricating a flexible extended terahertz waveguide with low losses, which has a hollow core and a reflective shell of eight polypropylene capillaries placed in a common shell with an outer diameter of 7.5 mm, has been demonstrated. The passage of terahertz pulses with frequencies of 2.3–2.8THz through a waveguide (including a twisted one, Rbent ∼60 cm) longer than 3 m with an attenuation of 5 dB/m has been experimentally confirmed.
Возбуждение капиллярной волны как механизм образования пор в процессе глубокого проплавления лазерным излучением
Authors: Сейдгазов Р.Д. , Мирзаде Ф.Х.
Published: June 2023

The mechanism of pore formation due to the capture of gas bubbles in the process of excitation of low-frequency capillary waves and alternating collapses in the penetration channel under laser action is studied experimentally. It is shown that bubble capture is provided by the main vibrational mode, the wavelength of which is related to the channel depth as λ=4L/3.
Одностадийный синтез смеси наночастиц WC-=SUB=-1-x-=/SUB=- и гибридного наноматериала на основе многостенных углеродных нанотрубок с нанопокрытиями WC-=SUB=-1-x-=/SUB=-
Authors: Вилков И.В. , Объедков А.М. , Кетков С.Ю. , Семенов Н.М. , Каверин Б.С. , Ковылин Р.С. , Аборкин А.В. , Сметанина К.Е.
Published: June 2023

By the method of chemical vapor deposition of tungsten hexacarbonyl at atmospheric pressure in an argon flow has been used to obtain promising fillers for aluminum matrix composite materials in the form of a mixture of nanoparticles of non-stoichiometric cubic tungsten carbide (WC1-x) and hybrid nanomaterials based on multi-walled carbon nanotubes decorated with nonstoichiometric cubic tungsten carbide. The influence of chemical vapor deposition (CVD) parameters on the morphology of samples was studied and the optimal synthesis conditions were selected. The structure and composition of the synthesized materials were studied by electron microscopy and X-ray phase analysis
Ad Hoc Modifications to a High Dependency Psychiatric Unit for People With Dementia During the COVID-19 Period (Preprint)
Authors: Pilunthanakul Thanita , Tan Giles Ming Yee
Published: June 2023

UNSTRUCTURED

The COVID-19 pandemic led to behavioral exacerbations in people with dementia. Increased hospitalizations and lack of bed availability in specialized dementia wards at a tertiary psychiatric hospital in Singapore resulted in lodging people with dementia in the High Dependency Psychiatric Unit (HDPCU). Customizations to create a dementia-friendly environment at the HDPCU included: (1) environmental modifications to facilitate orientation and engender familiarity; (2) person-centered care to promote attachment, inclusion, identity, occupation, and comfort; (3) risk management for delirium; and (4) training core competencies. Such practical solutions can also be implemented elsewhere to help overcome resource constraints and repurpose services to accommodate increasing populations of people living with dementia.
A Conceptual Research on the Relationship between Consumer and Advertisement of Neuromarketing
Authors: Durmaz Yakup , Bakan Ayda
Published: June 2023

This article aims to examine neuromarketing and neuromarketing techniques, to reveal the effect of neuromarketing on consumer behavior and advertising. Due to today’s increasing competition conditions, manufacturers want to read the minds of consumers to promote their products and achieve brand success. For this reason, it is very important to determine consumer behavior and the factors that trigger the purchase. Consumers’ perception of the advertisement and how they remember it is of great importance for marketing and brand success. What consumers say and think about the advertisement may not be consistent in some cases. So how can we identify the factors that cause the brain to buy a particular product? At this point, the importance of neuromarketing in discovering the subconscious thoughts of consumers emerges. Neuromarketing is of great importance in making advertising more effective. It can be determined by neurological methods how consumers are affected by which advertisements and which advertisements do not cause a reaction in them. In this context, it is considered necessary to examine neurological methods, the subconscious of consumers, and their relationship.
Developing a High-Quality, Modern Labor Market in Vietnam
Authors: Phuong Lan Nguyen
Published: June 2023

The labor market in Vietnam has experienced significant changes due to global trends and the demand for competitiveness in the region. This study investigates the evolving Vietnamese labor market, considering the obstacles presented by the Covid-19 pandemic and the fourth industrial revolution. The paper underscores the significance of adhering to international labor laws and standards to effectively tackle these challenges. By examining the influence of these external factors and their repercussions on labor standards, this research offers valuable insights for policymakers, employers, and workers in Vietnam. The findings emphasize the need to align domestic labor policies with international standards in order to establish a just and sustainable labor market in Vietnam amidst the evolving global landscape.
IoT based Smart Parking System
Authors: Savale Prof. Vaishali
Published: June 2023

Abstract: The number of vehicles keeps increasing each passing day and due to the limited parking space, parking has been a real nuisance. Our project which is based on the technology of “Internet of things”, aims to make parking vehicle easy and efficient. The benefit of our approach is that it allows us to find a parking space in parking area efficiently. Our project can also collect useful data like the amount of vehicle in the parking area, peak parking time etc. Parking will be digitalized and human efforts can be greatly reduced.
Analysis of RCC Building with Regular and Dumbbell Shaped Shear Wall in Different Types of Zones Using ETABS Software
Authors: Karande Hrishikesh , Bhalerao A. U.
Published: June 2023

Abstract: In structural engineering, a shear wall is a vertical element of a seismic force resisting system that is designed to resist in-plane lateral forces, typically wind and seismic loads. In many jurisdictions, the International Building Code and International Residential Code govern the design of shear walls. A shear wall resists loads parallel to the plane of the wall. Collectors also known as drag members; transfer the diaphragm shear to shear walls and other vertical elements of the seismic force resisting system. Shear walls are typically light-framed walls with shear panels, reinforced concrete walls, and reinforced masonry walls. The G+15 story structures situated in earthquake zones III, IV and V will be considered for study. All frames are designed under same gravity loading. Response spectrum method is used for seismic analysis. ETABS software is used and the results are compared. The results were obtained in the form of top story displacement, Story drift, Base shear and displacement
Biomedical Sensors Data Acquisition with Labview Using Machine Learning: A Review
Authors: Vijay Mrs. Kulkarni Sheetal , Joshi Ms. Jijnyasa , Wathe Ms. Aditi , Chandgude Ms. Snehal
Published: June 2023

Abstract: In recent years many techniques has shown potential in solving the real-world problems. The objective of this paper is to put together the popular optimization techniques for understanding and utilize them for the benefit of the society. The early prediction of the disease can help the social health to be more leaning towards positive ratio. The main aim is to make the person aware about the health and the problems that he will be facing. This can lead the person to consult the doctor or physician at the correct time and acquire proper treatment or measures as required. As it is well said, precautions are better than cure, one must be cautious about the health factor and look deep into it. This project aims at spreading awareness among people by using different biomedical sensors that are available. For the easy analysis of the data that is been collected in the real time can be graphically represented by using the most popular LabVIEW software. Looking forward into the global technical world around, we can see the new technologies like artificial intelligence and machine learning emerging into the data handling. This machine learning will help us to calculate and optimize accurate results and the prediction rate would be more efficient.
EV Charging Station Using Solar Power
Authors: Nerkar Prof. Madhavi , Vaishnavi Chemate , Pooja Dalvi , Kankarwal Sangram
Published: June 2023

Abstract: The main requirement for the adoption and implementation of electric vehicles (EV) is the availability of charging facilities in public locations. In order to create an enabling EVSE ecosystem and hasten the adoption of EVs, this paper addresses several challenges relating to electric vehicle supply equipment (EVSE) or charging stations linked to legislation, standards, interoperability, and business models. Electric vehicle (EV) supply equipment (EVSE) or charging equipment are necessary for vehicle owners to adopt EVs. With varying degrees of success, several nations utilised various strategies and economic models to build the EVSE ecosystem. As India prepares to launch an EV revolution, a few crucial EVSE-related questions continue to plague the industry's players: What criteria apply to EVSE in India? whose will berun and keep up an EVSE? Utilities? Utility franchisees, perhaps? or outside parties like business owners, parking lot managers, and fleet operators? What will the electricity cost be for charging an EV? Will there be only energy charges or will there be capacity charges as well (minimum monthly fee per kW of capacity)? Who will cover the expense of the electric grid upgrade (higher capacity distribution transformers and new cables when necessary): the owner of the EVSE or the utility's usual grid improvement capex? Where will the public EVSEs be installed, and will the land be given away for free, at a discount, or at market value? This paper seeks to summarise the extensive work that has previously been done by numerous parties on the aforementioned topics and environment that will facilitate the rapid implementation of EVs.
Online Public Shaming on Social Media: Detection, Analysis and Mitigation
Authors: Mane Prof. Dipali
Published: June 2023

Abstract: Social networking networks have billions of users worldwide. Users' participation in various social networking sites, like twitter, can occasionally have major and unfavourable effects on day-to-day living. Large social media platforms have evolved into a place where users can spread a lot of unwanted and pointless content. Twitter, one of the biggest social media platforms ever, has become the most popular microblogging site for the spread of useless information. In this project idea, the duty of identifying public scandal on Twitter is changed. Spam and non spam are the two subcategories of embarrassing tweets. It is apparent that the majority of people who engage and provide comments on a particular incident have a tendency to defame the victim.
Development of a Web Portal for the Training and Placement Cell of the College
Authors: Padavi Abhay , Birajdar Nikhil , Raut Rahul , Shaikh Suzanne , Patil Pratima
Published: June 2023

Abstract: This research paper presents the development of a web portal for the Training and Placement Cell of the college, aiming to enhance the efficiency and effectiveness of the placement process. The web portal automates various activities, including student registration, job postings, resume submissions, and interview scheduling. The project adopts a Waterfall SDLC model for sequential development and incorporates performance, safety, security, and software quality requirements. The results demonstrate improved communication, streamlined processes, and increased accessibility to job opportunities for students. The developed web portal offers a centralized platform for students, recruiters, and TPC administrators, facilitating efficient placement management and data analytics. This research contributes to the advancement of placement processes in educational institutions, improving the student experience and strengthening industry connections.
Design of Sliding Mode Control Strategy for Induction Motor
Authors: Laware Dr. Ajit
Published: June 2023

Abstract: The design and application of sliding mode control (SMC) techniques for an induction motor are the main topics of this research article. The main goal is to compare the performance of three different sliding surfaces and a proportionalintegral-derivative (PID) controller with other SMC controllers. The study examines how the PID and SMC controllers react to a variety of operational circumstances, such as load disturbances and parameter changes. The simulation results show the benefits and drawbacks of each controller, giving important information about how SMC approaches can be used for induction motor control. This study adds to the body of knowledge in the field of control systems by offering a thorough examination of various sliding mode control schemes for induction motor applications.
Optimizing and Predicting Compressive Strength of One-Part Geopolymer Concrete
Authors: Meshram Anoop
Published: June 2023

Abstract: This research aims to enhance the compressive strength prediction and optimization of one-part geopolymer concrete through the utilization of machine learning methods, particularly the Artificial Neural Network (ANN) model. Existing data from previous research and literature regarding precursors and solid activators in geopolymer concrete will be gathered and examined to identify key factors influencing compressive strength and optimize mixture proportions for achieving maximum strength.
Solar Powered DC Micro Grid for Transmission Line
Authors: Chaudhari Hitesh R.
Published: June 2023

Abstract: The increasing demand for sustainable and renewable energy solutions has prompted the exploration of solar power as a viable alternative to traditional fossil fuel-based energy sources. To efficiently transmit and distribute solar power, the integration of direct current (DC) transmission systems has gained attention due to their inherent advantages, such as lower losses and improved efficiency. However, the widespread adoption of solar-powered DC microgrids for transmission remains limited. This research paper aims to address this gap by investigating the feasibility and viability of a solar-powered DC microgrid for transmission. The research begins with a comprehensive review of existing power transmission systems, highlighting the advantages and limitations of DC microgrids and previous studies on solar-powered microgrids. By analysing the existing challenges and gaps in the literature, this study identifies the need for a thorough evaluation of the performance and effectiveness of solar-powered DC microgrids.
A Real Time Chatbot Using Python
Authors: Sarode Prof. Vaishali , Joshi Bhakti , Savakare Tejaswini , Warule Harshada
Published: June 2023

Abstract: Real-time chatbots developed using Python have emerged as powerful tools for enhancing customer support, improving user experiences, and streamlining business processes. Leveraging Python's extensive libraries and frameworks, such as NLTK, Flask, and telebot, developers can build intelligent and scalable chatbot systems.This paper provides an overview of the key components and techniques involved in developing a real-time chatbot using Python. It explores the process of requirement gathering, use case definition, conversation flow design, and performance optimization. Integration with backend services, error handling, validation, and user experience (UX) design are also discussed. The utilization of natural language understanding (NLU) algorithms and techniques allows chatbots to interpret and comprehend user intents, providing accurate and context-aware responses. Integration with REST APIs, Flask, and telebot facilitates seamless communication and interaction between the chatbot and users. Furthermore, the paper highlights the importance of security, privacy, and ethical considerations in chatbot systems. It emphasizes the significance of continuous testing, feedback iteration, and user-centric design principles to refine the chatbot's performance and enhance the user experience. Looking ahead, future work in real-time chatbot development using Python includes advancements in natural language processing (NLP), personalized user experiences, multi-modal capabilities, and the integration of voice assistants. Ethical considerations and explainable AI techniques will also be critical for building trustworthy and responsible chatbot systems. In conclusion, real-time chatbots developed using Python offer immense potential for transforming customer support, automating processes, and delivering personalized and efficient services. With ongoing advancements in NLP, AI, and user interface design, the future of real-time chatbots holds exciting possibilities for enhanced user interactions and seamless automation.
Survey on Sentiment Analysis Hate Speech Detection on Twitter using NLP
Authors: Yedle Shrraddha , Utnal Shivanad , Patle Shreel , Pasalkar Omkar , Kumbhar Mrs. Hema
Published: June 2023

Abstract: Hate speech detection has substantially increased interest among researchers in the domain of natural language processing (NLP) and text mining. The number of studies on this topic has been growing dramatically. Thus, the purpose of this analysis is to develop a resource that consists of an outline of the approaches, methods, and techniques employed to address the issue of Twitter hate speech. This study can beused to aid researchers in the development of a more effective model for future studies. This review focused on studies published over the past eight years, i.e., from 2015 to 2022. This systematic search was carriedout in December 2020 and updated in July 2022. Ninety-one articles published within the mentioned period met the set criteria and were selected for this review. From the evaluation of these works, it is clear that a perfect solution has yet to be found. To conclude, this paper focused on presenting an in-depth understanding of current perspectives and highlighted research opportunities to boost the quality of hate speech detection systems. In turn, this helps social networking services that seek to detect hate messages generated by users before they are posted, thus reducing the risk of targeted harassment.
Study of Concrete by Recycling Material for Sustainable Development
Authors: Ankita Jogi
Published: June 2023

Abstract: Concrete's excellent structural strength and stability make it the most often utilised building material in the civil engineering sector. Directly releasing garbage into the environment might have negative effects on the environment. To use natural resources more effectively and preserve the environment from waste deposits, waste can be used to create new goods or used as admixtures. The importance of recycling waste has thus been highlighted. The performance of the concrete itself has less of an impact on the reinforced concrete composite material as a whole. This prompted the quest for fresh content. In this study, the mechanical characteristics of concrete are examined with the addition of aluminium fines and lithium salt in varying weight proportions to cement. the sector of concrete.
Detection of Various Skin Diseases Using CNN in Machine Learning
Authors: Gupta Tushar
Published: June 2023

Abstract: Skin diseases are the most common diseases. Skin diseases may be caused by bacteria, fungal infection, allergy, or viruses, etc. The term Dermatology means the branch of bioscience that deals with diagnosing and treatment of skin based disorders. The dermatologic disorders vary geographically and seasonally because of humidness, alternative environmental factors and temperature.
Web Scraping: Extracting Insights from the Digital Landscape
Authors: Kulkarni Srikanth
Published: June 2023

Abstract: Web scraping is a potent method that makes it possible to scrape useful data from websites, making it an essential tool in a number of fields like data analysis, market research, and competitive intelligence. The objective of this project is to provide a web scraping solution that is reliable and effective, automates the process of gathering data from internet sources, and offers valuable insights for decision-making. For subsequent analysis, the gathered data is saved in a structured format, such as CSV, JSON, or a database. To improve the quality and utility of the retrieved data, the project also contains methods for cleaning and preparing the data. The data is then examined statistically, visually, and with the use of machine learning algorithms to find patterns, trends, and insights that might aid in making well-informed decisions.
Gaze Assisted Transaction
Authors: Bijapur Ektha , Joshi Pooja , Vaidya Shrinivas , Sarawad Sneha , Vaishnavi
Published: June 2023

Abstract: Automated Teller Machine (ATM) was introduced in the year 1959 for encouraging self service in retail banking. The single smart card ATM for multiple bank accounts is used for security applications for withdrawing cash from ATM machines. Eye tracking has been introduced as a way of direct interaction which could pave the way for new technologies and devices to be introduced for end-users. It is becoming a popular way of interaction. Gaze coordinates could be used to pinpoint the target selected by the user on the screen, then proceed to do a command more efficiently. We hypothesize that the limitations and disadvantages mentioned for touch screen interfaces can be improved by adding gaze capabilities. It is worth mentioning that gaze along with the touch method. Therefore, the targeting can be done via gaze and the selection by touch, which will improve the efficiency and also the screen is not obscured by hand during targeting and even increases the security. The proposed project is based on Event based architecture. CNN algorithm has been chosen to improve the efficiency of the project. The model is easily adaptable to complex, often chaotic environments and the system is easily extendable when new event types appear. The User interface will be designed to be user friendly and comfortable. The design uses a toolkit DLIB for making real world machine learning and data analysis applications. Dlib is majorly used for face detection and facial landmark detection. The system can be divided into two parts. The first part consists of eye typing implementation and the second part is text entry into the system.
A Review Paper on Linear and Nonlinear Analysis of G+15 Story Building with and without Shear Wall by using Time History Analysis Method
Authors: Pol Somesh
Published: June 2023

Abstract: An earthquake is the result of the rapid release of deformation energy stored in the earth's crust, which generates seismic waves. The structures are sensitive to earthquakes and structural damage. In order to take preventive measures against damage to structures due to ground motion, it is important to know the characteristics of ground motion. The most important dynamic characteristics of an earthquake are peak ground acceleration, frequency content, and duration. These characteristics play the main rule in the study of the behavior of structures during earthquake ground motion. Earthquake analysis of a multistory structure is performed using linear and non-linear methods. The response spectrum analysis method is linear dynamic analysis. The time history method is used for nonlinear dynamic analysis. In this paper, the response spectrum method is used for linear analysis. The time history method is used for nonlinear analysis. For the time history method Both analyzes are performed using ETABs software. Linear Time History analysis of RCC building considering 4 different time histories is carried out. The time history data of Bhuj earthquake, Chamba earthquake, Chamoli earthquake and NE (Myanmar) earthquake has been considered. Here, a building has been modelled using Etabs software for seismic analysis and time history analysis. This paper highlights the effects of different time histories of different region on the same structure. The effects under considerations are story shear, building deflection and story drif
Fabric Defect Detection Using Deep Learning
Authors: Durgaprasad Mr. P
Published: June 2023

Abstract: Fabric production companies place great emphasis on quality control, recognizing its crucial role in their operations. Failure to identify defects in fabrics exposes these companies to the risk of financial losses and damage to their reputation due to the sale of flawed products. Typically, traditional inspection systems exhibit an accuracy range of 60-75%. This paper proposes a solution to reduce costs by introducing a fast and automated defect detection system, complemented by human operator decision-making. The system employs a specialized Convolutional Neural Network (CNN) for defect detection. The training process involved the utilization of over 50 defect types to achieve a well-generalized system. Moreover, given that undetected defects (False Negatives - FNs) are more costly to the company than erroneously classifying a non-defective fabric as defective (false positives), FN reduction methods were incorporated into the proposed system. During testing, the automatic mode of the system achieved an average accuracy of 75%.
Exploring the Intricacies of Human Character: A Cutting-Edge Platform for Personality Detection
Authors: V Abhinav T
Published: June 2023

Abstract: This research introduces a platform for personality detection that leverages artificial intelligence (AI) and machine learning (ML) principles. By employing facial recognition, eye detection, body language analysis, speech recognition, and heart rate detection, the platform aims to accurately discern and analyse an individual's personality traits. The platform analyses various cues emitted by an individual, including facial expressions, micro expressions, eye movements, postures, gestures, speech patterns, and heart rate fluctuations. Through the integration of these AI and ML techniques, the platform offers comprehensive insights into an individual's emotional state, communication style, and personality characteristics. This technology has promising applications in personalized marketing, customer analysis, mental health assessment, and team dynamics optimization. By harnessing the power of AI and ML, this platform has the potential to revolutionise industries and pave the way for tailored experiences and enhanced human interactions. Preface: This research endeavours to present a ground-breaking idea for copyright protection. Recognizing the importance of safeguarding intellectual property in the digital age, this study emphasizes the need for a comprehensive and robust approach to copyright enforcement. To realise the practical implementation of this idea, a well-developed research team with expertise in technology, law, and digital rights is essential. Furthermore, successful integration and collaboration with renowned IT companies are vital to harness their resources, technical capabilities, and industry influence. By bringing together the collective knowledge and expertise of such a team and leveraging the support of renowned IT companies, this research aims to pave the way for a more effective and efficient copyright protection framework that ensures the rights of creators and innovators in the modern digital landscape.
An Experimental Study on Strength of Concrete Using Areca Nut Husk Fiber and Partial Replacement of Cement by Granite Powder
Authors: K Bharath G , Panindra Venkata , M Nithin B , K Manoj , Shankarlingegowda G K
Published: June 2023

Abstract: In this experimental investigation, various concrete mixtures were prepared by replacing cement with GP at different percentages (10%, 20%, 30%). Additionally, ANHF was added to the concrete mixtures in proportion 0.5% by weight of cube and cylinder to assess its impact on the mechanical properties of concrete. The properties examined included compressive strength and split tensile strength. The results of the experiments revealed that the inclusion of ANHF in the concrete mixture led to a significant improvement in the strength properties. Concrete specimens containing ANHF exhibited enhanced compressive and split tensile strengths compared to the control samples without ANHF. Furthermore, the addition of GP as a partial replacement for cement resulted in improved strength characteristics. The findings of this study highlight the potential of using waste materials such as ANHF and GP as viable alternatives in concrete production. The incorporation of ANHF can effectively enhance the strength properties of concrete, while the partial replacement of cement with GP offers both environmental and economic benefits. These results contribute to the sustainable development of the construction industry by reducing the reliance on conventional materials and promoting the utilization of waste by-products
Water Feeding System of Solar Desalination on Stepped Still: A Review
Authors: Harishkumar Aswin , Jagadeesan Aswin , S Akshay C , N Nihas Muhammed K
Published: June 2023

Abstract: This paper presents a modification of stepped solar still with continuous water circulation using a storage tank for sea and salt water. Total dissolved solids (TDS) of seawater and salt water before desalination is 57,100 and 2370 mg/l.To assess the performance of the developed desalination system under the same climatic conditions, a comparison study bet ween modified stepped and conventional solar stills was conducted.To assess the performance of the developed desalination syste m under the same climatic conditions, a comparison study between modified stepped and conventional solar stills was conducted. The results indicate that, the productivity of the modified stepped still is higher than that for conventional still approximately by 43% and 48% for sea and salt water with black absorber respectively, while 53% and 47% of sea and salt water, respectively with cotton absorber. Also, the daily efficiency for modified stepped still is higher than that for conventional still approximately by 20%. The maximum efficiency of modified stepped still is occurring at a feed water flow rate of 1 LPM for sea water and 3 LPM for salt water. Total dissolved solids (TDS) of seawater and salt water after desalination is 41, and 27 mg/l.
Pengaruh kecemasan terhadap persepsi risiko bahaya covid 19 pada pekerja pasar tradisional
Authors: Komariyah Nur , Latipun Latipun , Firdiyanti Retno
Published: June 2023

The news about the Covid 19 virus has made people with lower middle socioeconomic status who work in traditional market worried about this virus. How they thinking about covid 19 reflected in their daily behavior at traditional market. They anxiety that reflected by their behavior become predictor how they thinking about the covid 19 virus. The purpose of this study was to determine the effect of anxiety on the perception of the risk of the danger of covid 19 virus. This study is a quantitative research using survey method. There are 166 participant who surveyed by accidental sampling with some criterias; male and female traditional markets worker and aged 18-61 years. The data collected by instruments; Covid 19 Pperceived Risk Scales (CPRS) and State Trait Anxiety Inventory-Trait (STAI-T) and analized using simple regression. The results showed that there was a significant positive effect on anxiety on the perception of the dangers of covid 19 in traditional market workers (r = 0.205, R2 = 0.042, P = 0.008)
 
Keywords : subjective assessment, anxiety as a trait, lower middle socioeconomic
Neuroticism dan kecanduan pada game multiplayer online battle arena
Authors: Surahman Edy , Lukman Lukman , Nurdin Muh. Nur Hidayat
Published: June 2023

The increasing popularity of multiplayer online battle arena games that occurred resulted in negative impacts, one of which is internet gaming disorder. Some studies suggest that neuroticism is correlated with internet gaming disorder, but previous studies have provided inconsistent results. Moreover, research related to multiplayer online battle arena games is scarce, regardless of large popularity and community size. This study aims to determine the correlation of neuroticism with internet gaming disorder in multiplayer online battle arena. The sample in this study amounted to 67 online game users consisting of 49 men and 18 women who suffer from internet gaming disorder. Samples were obtained with purposive sampling technique. Data analysis using spearman rank correlation yielded results of r = 0.306 and p = 0.006. This shows that there is a positive correlation between neuroticism and internet gaming disorder. These results are expected to provide information about neuroticism and internet gaming disorder to online game users.
Keywords: Internet gaming disorder, MOBA, neuroticism
The role of cognitive flexibility on stress in hospital medical personnel in Malang
Authors: Taufani Amallia Salzabilla , Syakarofath Nandy Agustin , Latipun Latipun , Widyasari Dian Caesaria
Published: June 2023

Covid-19 was causing a drastically changing situation, especially for healthcare workers facing increasing workloads and sudden changes in circumstances. These circumstances force health workers to adapt to these stressful changes. Cognitive flexibility is one of the protective factors for health workers to be capable of processing and coping with stress. This study aims to perceive the contribution of cognitive flexibility to stress to healthcare workers. The research hypothesis is that there is a negative role between cognitive flexibility and stress, which means the higher cognitive flexibility a health worker has, the lower the stress level. This study uses quantitative methods. Using random sampling techniques, data retrieval uses the Cognitive Flexibility Scale (CFS) and Depression Anxiety Stress Scale (DASS-21) questionnaires. The subjects of this study were 55 health workers working at hospitals in Malang, with the professional criteria of doctors, nurses, pharmacists, and midwives. Data analysis uses a simple linear regression test. The results of this study show that cognitive flexibility has a 33.3% effect on reducing stress levels in healthcare workers.
 
Keywords: cognitive flexibility, covid-19, healthcare workers, mental health, stress