bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence Of Promotion Mix On Consymers Purchasing Interest For Mixue Ice Cream And Tea Bengkulu City
Authors: Putri Intan Dwi , Made Ida Ayu , Anzori Anzori
Published: May 2024

The company tries to increase consumer attractiveness for the products it offers, so the company chooses the methods used, especially in the marketing sector, to maintain the quality and quantity achieved. One of the right strategies to increase sales is a promotional mix. The promotional mix plays an important role in increasing the company's sales volume. Because of this, it is important for companies to promote through advertising, personal selling, sales promotion and publicity. The aim of this research is to determine the extent of the influence of promotion mix on consumers' purchasing interest for Mixue Ice Cream and Tea in Bengkulu City. The type of research used is quantitative. The method used is a questionnaire. The sample from this research was 85 respondents. The results of the research show that the multiple linear regression obtained Y = 2,790 + 0.579 (X1) + -0.300 (X2) + 0.401 (X3) + 0.211 (X4) + 2,163, meaning that there is a positive or unidirectional relationship between advertising, personal selling, sales promotion and publicity on consumers' purchasing interest for Mixue Ice Cream and Tea in Bengkulu City. The results of the advertising test (X1) show a significance of 0.000 < 0.05, so the results of Ha is accepted and Ho is rejected, meaning that advertising has a positive and significant effect on consumers’ purchasing interest for Mixue Ice Cream and Tea in Bengkulu City. The results of the personal selling test (X2) show a significance of 0.005 < 0.05, meaning Ha is accepted and Ho is rejected. The results of sales promotion test (X3) show a significance of 0.005 > 0.05, meaning Ha is accepted and Ho is rejected. The results of the publicity test (X4) show that the significance value is 0.83 > 0.05, meaning that Ha is rejected and Ho is accepted.
The Influence Of Leadership Style, Work Discipline, And Work Motivation On The Work Morale Of Iia Curup Prison Employees
Authors: Majid Jalil , Ratnawili Ratnawili
Published: May 2024

This research was conducted on IIA Cuirup Rejang Lebong Prison Employees with the problem formulation: What is the Influence of Leadership Style, Work Discipline and Work Motivation on Employee Work Morale among IIA Cuirup Rejang Lebong Prison Employees? and the aim of this research is to find out whether Leadership Style, Work Discipline, and Work Motivation affect employee morale among employees at IIA Cuirup Rejang Lebong Prison. The population in this study are employees at IIA Cuirup Rejang Lebong Prison. totaling 85 respondents. The sampling technique used accidental sampling based on predetermined criteria, totaling 85 respondents. The processed data was analyzed using the SPSS 26 formula. Based on the results of research and analysis of the influence of the Leadership Style (X1) and Work Discipline (X2) variables on Work Morale among Kleas IIA Curup Rejang Lebong Prison Employees. The following conclusion can be drawn: Leadership Style (X1) has a positive effect on Work Morale (Y) of Employees at the Kleas IIA Curup Rejang Lebong Prison. This is proven by hypothesis testing with the t-test, obtained tcount > ttable (3,286,> 1,989) Work Discipline (X2) has a positive effect on Work Morale (Y) of Employees at the Kleas IIA Curup Rejang Lebong Prison. This is proven by hypothesis testing with the t-test, obtained tcount > ttable (4,612> 1.989) Work Motivation (X2) has a positive effect on Work Morale ( Y) Employees at the Kleas IIA Curup Rejang Lebong Prison. This is proven by hypothesis testing with the t-test, obtained tcount > ttable (2,879>1.989).Leadership Style (X1), Work Discipline (X2), and Work Motivation (X3) have an effect on Work Morale (Y) Employee. This can be seen from joint hypothesis testing (Simultaneous) Fcount > Ftable (78.007 > 2.722). This is proven by the correlation analysis R = 0.862 or (84.8%) and is almost close to 1. And the coefficient of determination is R2 = 0.743 or around 71.9% while 28.1% is the contribution of other variables not studied.
Link-Based Xcorr Normalization and Attention Mechanism for Predicting the Threats over the Network Model
Authors:   Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, India, P. P. ,   Department of Mathematics, Karunya Institute of Technology and Sciences, Coimbatore, India,   Department of Information Technology, Karpagam College of Engineering, Coimbatore, India,   Department of Computer Science and Engineering, University college of Engineering, Ariyalu, India, Edna K. Rebecca Jebaseeli , Sherubha P. , Arivazhagi Arivazhagi
Published: May 2024

Sensor Networks (SNs) play an essential role in upcoming technologies like the Internet of Things (IoT), where technical services are highly prone to crucial vulnerability due to attacks. This research motivates to provide a mechanism to identify the link reliability of connected sensor nodes. The privacy-preserving keys are distributed among the corresponding network nodes. When the nodes suffer from an attack, it damages the linking nodes' community. It has the nature of healing itself when the attacks are identified over the network. The self-healing nature is not so complex, and it is termed a lightweight process. A novel link-based intrusion prediction mechanism uses attention-based Deep Neural Networks (-DNN) for lightweight linkage identification and labelling. This model helps predict basic network patterns using topological analysis with better generalization. The simulation is done with Python where the proposed -DNN model outperforms the five different conventional approaches with the adoption of a benchmark dataset (network traffic) for extensive analysis. The AUC is improved in an average manner with the adoption of -DNN. This model enhances the linkage connectivity to make different connectivity processes more efficient and reach the target non-convincing. It is sensed that the proposed -DNN outperforms the existing approaches by improving the network resilience by maintaining higher energy efficiency.
Hybridization of Deep Sequential Network for Emotion Recognition Using Unconstraint Video Analysis
Authors:   School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India, Selva Selva ,   School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India, S. Selva Kumar.
Published: May 2024

The reliable way to discern human emotions in various circumstances has been proven to be through facial expressions. Facial expression recognition (FER) has emerged as a research topic to identify various essential emotions in the present exponential rise in research for emotion detection. Happiness is one of these basic emotions everyone may experience, and facial expressions are better at detecting it than other emotion-measuring methods. Most techniques have been designed to recognize various emotions to achieve the highest level of general precision. Maximizing the recognition accuracy for a particular emotion is challenging for researchers. Some techniques exist to identify a single happy mood recorded in unrestricted video. Still, they are all limited by the processing of extreme head posture fluctuations that they need to consider, and their accuracy still needs to be improved. This research proposes a novel hybrid facial emotion recognition using unconstraint video to improve accuracy. Here, a Deep Belief Network (DBN) with long short-term memory (LSTM) is employed to extract dynamic data from the video frames. The experiments conducted uses decision-level and feature-level fusion techniques are applied unconstrained video dataset. The outcomes show that the proposed hybrid approach may be more precise than some existing facial expression models.
Construct validity of the Braden scale in acute- and long-term care settings in Austria: A structural equation modeling analysis
Authors: Schumacher Petra , Santos Eduardo José Ferreira , Wandl Bettina , Müller Gerhard
Published: May 2024

Objective: The Braden scale is frequently used to assess pressure ulcer risk in health care settings. Selected psychometric properties have been tested using various methods of classical test theory in international studies. However, limited information on construct validity is available. Aim was to determine if the Braden subscale items correlate with the construct pressure ulcer risk and whether the construct validity concerning the factor structure of the Braden scale is adequate in acute and long-term settings.Methods: A quantitative design with secondary analysis of data from one acute (n = 328) and eight long-term care facilities (n = 311) in Austria was used to test construct validity. Data analysis included principal axis factor analysis with Promax rotation and assessment of internal consistency, followed by structural equation modeling.Results: For the acute care setting, a structure equation model with two latent factors and for the long-term care setting with one latent factor was tested according to principal axis factoring results. The Braden subscale items correlated with the construct pressure ulcer risk. Almost all examined model fit indices were within recommended reference values. Thus, the construct validity of the Braden scale was adequate in both settings.Conclusions: The factor structure in the acute care setting did not match that in the investigated long-term care setting. Further research regarding the construct validity of the Braden scale is therefore necessary.
A revisão por pares como ferramenta de manutenção da neutralidade científica
Authors: Sancho Lopes Fernanda , Prando Felipe , Beccari Marcos
Published: May 2024

O presente artigo propõe uma análise crítica do procedimento de revisão por pares, realizado pelos periódicos científicos como parte do processo seletivo das publicações, levantando discussões sobre sua efetividade enquanto ferramenta de avaliação. A fim de identificar as raízes da implementação de tal procedimento, partimos de uma breve história da origem da revisão por pares que perpassa a origem dos próprios periódicos científicos. Na sequência, trazemos a discussão sobre a efetividade da prática através do debate direto entre dois cientistas a respeito do tema – publicados no blog Ciência Fundamental, da Folha de São Paulo –, bem como situações recentes de crise nos periódicos científicos que trouxeram à tona a problemática das avaliações. Por fim, conclui-se que a revisão por pares reflete um ideal de neutralidade da ciência, pautada pela consolidada objetividade científica, e defende-se o uso de uma abordagem localizada para discutir as possíveis formas de avaliação da produção científica.
Reverse Shoulder Arthroplasty to Treat Proximal Humerus Fracture Sequelae: A Review
Authors: Schiffman Corey J. , Cohn Matthew R. , Austin Luke S. , Namdari Surena
Published: May 2024

While several proximal humerus fractures treated nonsurgically reach satisfactory outcomes, some become symptomatic malunions or nonunions with pain and dysfunction. When joint-preserving options such as malunion or nonunion repair are not optimal because of poor remaining bone stock or glenohumeral arthritis, shoulder arthroplasty is a good option. Because of the semiconstrained design of reverse shoulder arthroplasty, it is effective at improving function when there is notable bony deformity or a torn rotator cuff. Clinical studies have demonstrated reliable outcomes, and a classification system exists that is helpful for predicting prognosis and complications. By understanding the associated pearls and pitfalls and with careful management of the tuberosities, reverse shoulder arthroplasty is a powerful tool for managing proximal humerus fracture sequelae.
Relasi Kuasa Atas Tubuh Perempuan dalam Film Imperfect (Kajian Semiotika Peirce)
Authors: Hamonangan Botwinnik Daniel , Suwartiningsih Sri , Herwandito Seto
Published: May 2024

Penelitian ini bertujuan sebagai analisis tanda dan makna tentang relasi kuasa dan tubuh perempuan yang ditampilkan dalam film Imperfect, dengan menggunakan pendekatan semiotika Peirce, serta menggali konsep feminisme yang tersirat dalam naratif tersebut. Peneliti mengadopsi pendekatan kualitatif deskriptif melalui pengumpulan data primer dari film Imperfect dan data sekunder dari buku teks untuk memperkuat argumen. Analisis data dilakukan dengan menerapkan teori semiotika Pierce untuk menginterpretasikan sign, object, dan intrepant dalam film Imperfect. Hasil penelitian menunjukkan bahwa film "Imperfect" menggambarkan tekanan sosial terhadap penampilan perempuan, dengan adegan Rara tanpa makeup dan tubuh gemuknya menjadi pusat perhatian. Analisis semiotika Pierce menyoroti relasi kuasa yang mengontrol dan menghakimi tubuh perempuan, serta mengilustrasikan dinamika patriarki yang memengaruhi persepsi dan ekspektasi terhadap penampilan fisik perempuan. Implikasi penelitian ini menunjukkan perlunya perubahan dalam paradigma kecantikan untuk membebaskan perempuan dari tekanan dan ekspektasi yang tidak realistis, serta memberikan otonomi penuh atas tubuh mereka.
Pengaruh Kekuatan Otot Tungkai dan Flexibilitas Otot Tungkai Kaki terhadap Keterampilan Menggiring Bola Peserta Ekstrakurikuler Futsal SDN Cakung Barat 05
Authors: Humam Khoirul , Rohendi Aep , Hoedaya Danu , Sobarna Akhmad , Rizal Rony Mohamad
Published: May 2024

Penelitian ini bertujuan untuk menghasilkan produk dan menguji efektifitas model pengaruh kekuatan otot tungkai dan flexibilitas otot tungkai kaki terhadap ketrampilan menggiring bola peserta ekstrakurikuler futsal SDN Cakung Barat 05. Metode penelitian ini menggunakan research and development (R&D) model Borg and Gall. Subyek penelitian adalah atlit futsal usia 10-12 tahun dengan melibatkan sekolah futsal - dengan jumlah subyek 20 orang untuk uji coba kecil, 55 orang untuk uji coba besar dan uji efektifitas sebesar 60 orang yang terdiri dari 30 orang kelompok eksperimen dan 30 orang kelompok kontrol. Instrumen yang digunakan dengan angket, wawancara dan observasi dan utuk mengukur power atlit futsal menggunakan Multiple Five Bounds Test (M5B). Hasil penelitian menunjukkan bahwa: (1) model pengaruh kekuatan otot tungkai dan flexibilitas otot tungkai kaki terhadap ketrampilan menggiring bola peserta ekstrakurikuler  futsal SDN Cakung Barat 05berjumlah 100 model latihan dapat diterapkan untuk atlet futsal usia 10-12 tahun, (2) uji efektifitas model pengaruh kekuatan otot tungkai dan flexibilitas otot tungkai kaki terhadap ketrampilan menggiring bola peserta ekstrakurikuler  futsal SDN Cakung Barat 05 menunjukkan adanya pengaruh signifikan terhadap peningkatan power otot tungkai atlet futsal usia 10-12 tahun. Hasil uji N-gain Skor kelompok eksperimen diperoleh nilai Mean= 56.618 atau sama dengan 56% termasuk dalam kategori cukup efektif. Sedangkan, Hasil uji N-gain Skor kelompok kontrol diperoleh nilai Mean= 43.325 atau sama dengan 43.325 % termasuk dalam kategori kurang efektif. Maka dapat disimpulkan bahwa model latihan pliometik tubuh bagian bawah efektif untuk meningkatkan power otot tungkai atlet futsal usia 10-12 tahun.
Evaluation of Three-Level Code Division Multiplexing for High-Quality Radio over Fiber Communication
Authors: Alzaqebah D. , Mokhtar M. , Yaakob S.
Published: May 2024

Radio over Fiber system (RoF) technology facilitates the transmission of wireless signals over optical fibers, which provides many benefits, including low signal loss, and immunity to electromagnetic interference. Despite these benefits, conventional RoF systems grapple with signal impairments and limited user capacity, as each user must be allocated a specific frequency. To address these limitations, this paper explores the implementation of the Three-Level Division Multiplexing (3LCDM) technique with RoF, a superior multiplexing strategy that allows two users to share a single channel, thereby doubling capacity. This innovative combination was evaluated for various cases using 2.4 GHz, 5 GHz, and the combination of 2.4 GHz and 5 GHz carrier frequencies, and its performance was compared with traditional RoF systems. Simulations were carried out using OptiSystem in cooperation with the MATLAB simulator. The findings of this study reveal that the 3LCDM-RoF system can accommodate twice the number of users as the conventional RoF system without the need for amplifiers. Furthermore, it supports higher bit rates and longer transmission distances. Specifically, the 3LCDM-RoF system achieved maximum data rates at maximum fiber length of 2 x 1.1 Gbps at 60 km, (2.4 GHz), 2 x 2 Gbps at 40 km (5 GHz), and 2 x 0.5 Gbps per channel at 43 km (combined 2.4 GHz and 5 GHz) respectively. Meanwhile, the conventional RoF with 2.4 GHz, 5GHz and the combination of 2.4 GHz and 5 GHz can only achieve maximum data rate at a maximum fiber length of 1.1 Gbps at 45 km, 1.6 Gbps at 35 km, and 0.4 Gbps at 35 km respectively
A STUDY ON CONSUMER SATISFACTION TOWARDS MARUTI SUZUKI VEHICLES IN ERNAKULAM DISTRICT
Authors:   Associate Professor& Head, Department of MBA, Paavai Engineering College Anna University, Namakkal, Tamil Nadu, India, K.S Dr .. KAVITHA
Published: May 2024

Maruti Suzuki . Convenience sampling technique was adopted with the sample size of 150 respondents. The primary data for the study was collected using a self-designed questionnaire. Independent T test analysis was used to the preferences of consumers towards the passenger vehicles of Maruti Suzuki The brands were on five attributes namely color interior price, after sales service and re sale value
A STUDY ON MANAGING MATERIAL HANDLING, STORAGE AND PACKAGING IN FREIGHT FORWARDING AT FLYJAC LOGISTICS PVT LT
Authors:   SATHYABMA     INSTITUTE      OF      SCIENCE     AND TTECHNOLOGY, CHENNAI, L LOKESHWARAN
Published: May 2024

This study looks into the difficulties and practices that the freight forwarding industry is currently facing in these areas. A combination of quantitative data collection through surveys and qualitative insights gained from interviews with industry experts were combined in a mixed-method research approach. Thematic analysis and statistical methods were used for data interpretation and analysis. The results indicate that there exist noteworthy prospects for enhancing material handling procedures, optimizing storage, and refining packaging tactics. Among the recommendations are the use of cutting-edge technologies for inventory control, the application of lean concepts to optimize processes, and the creation of environmentally friendly packaging options. Freight forwarding businesses can increase customer satisfaction, cut expenses, and increase efficiency by putting these recommendations into practice. KEY WORDS: Inventory management software, Conveyor systems, Inventory control, Space utilization and Packaging materials.
Braille-Vox Pro Empowering Inclusive Communication
Authors:   Department of CSE  Apex Institute of Technology  Chandigarh University  Chandigarh, India, Nigam Prakhar
Published: May 2024

Braille-Vox Pro is an innovative project with the objective of creating a voice-to-Braille conversion system for individuals with vision impairments. The project intends to overcome the reading and writing difficulties encountered by visually impaired individuals, which can have a substantial impact on their ability to access information and communicate effectively. By turning spoken words into Braille text in real-time, the technology will give a practical answer to these issues, allowing visually impaired people to be more autonomous and productive. The research employs advanced natural language processing algorithms capable of effectively recognizing and interpreting spoken words and translating them to Braille text. Also, the system will include a Braille display device that will allow visually impaired individuals to read the transformed text. The development of this technology will give visually impaired individuals with a new degree of accessibility and inclusion, providing them more effective communication and information access. The Braille-Vox Pro project is a huge advancement in assistive technology, providing visually impaired folks with a much-needed answer to their difficulties. By allowing individuals to read and write Braille with their voice, the technology will enhance their capacity to communicate, gain access to information, and participate more fully in society. This project has the potential to aid millions of visually impaired individuals worldwide, which is a tremendous impact. The Braille-Vox Pro project is an innovative and vital Endeavor that will have a significant influence on the lives of individuals with vision impairments. [1] Keywords— Sub-images, Fuzzy logic, Image enhancement, Histogram, HSV, Image processing.
Serving the unserved: a market segmentation, price discrimination based customer-centeric approach to home loans in india
Authors:   Galgotias University, R Prof..Panzhanisamy
Published: May 2024

The housing finance sector in India has witnessed remarkable growth in recent years, yet a significant portion of the population remains excluded from accessing formal home loan facilities. This master thesis report aims to address this gap by proposing a customer-centric approach to home loans, utilizing market segmentation and price discrimination strategies to serve the unserved segment of the market effectively. The study begins by identifying the need to bridge the gap in home loan accessibility and explores the reasons behind the exclusion of certain demographic groups. Through a comprehensive literature review, the report examines existing research on home loans, market segmentation, price discrimination, and customer-centric approaches in the financial services industry. The research methodology employed in this study utilizes a mixed-methods approach, combining qualitative and quantitative techniques to gather insights into the preferences, challenges, and perceptions of potential home loan borrowers. A carefully designed sampling plan ensures the representativeness and reliability of the data collected. Data analysis reveals patterns and trends within the home loan market, shedding light on the effectiveness of different segmentation and pricing strategies in reaching the unserved population. The questionnaire used for data collection is provided in the report, along with a discussion of the limitations, challenges, and barriers encountered during the research process. In conclusion, the report summarizes key findings and recommends strategies for policymakers, financial institutions, and other stakeholders to enhance inclusivity and efficiency in the home loan sector. By adopting a customer-centric approach and leveraging market segmentation and price discrimination techniques, the goal of serving the unserved can be achieved, contributing to greater financial inclusion and societal welfare.
Synthetic Media Analysis Using Deep Learning
Authors:   Rajiv Gandhi Institute of Technology, Mumbai 400053   Department of Information Technology, Mishra, Vaishnavi
Published: May 2024

In an era characterized by the rapid evolution of digital content creation, synthetic media, particularly deepfake videos, present a formidable challenge to the veracity and integrity of online information. Addressing this challenge requires sophisticated analytical techniques capable of discerning between authentic and manipulated media. This research paper presents a comprehensive study on synthetic media analysis leveraging deep learning methodologies. The suggested method integrates advanced deep learning models, including Convolutional Neural Networks (CNNs) like VGG (Visual Geometry Group), alongside recurrent structures such as LSTM (Long Short-Term Memory). These models are trained and evaluated on a meticulously curated dataset, ensuring diversity and relevance in the synthetic media samples. To facilitate experimentation and reproducibility, the dataset is securely hosted on a reliable platform such as Google Drive. Prior to model training, preprocessing steps including frame extraction are employed to extract essential visual features from the video data. The VGG model serves as a feature extractor, capturing high-level representations of visual content, while the LSTM model learns temporal dependencies and contextual information across frames. Following comprehensive experimentation, the proposed method's ability to detect synthetic media is thoroughly assessed, utilizing metrics such as accuracy. This research contributes to the ongoing discourse on digital media forensics by providing insights into the efficacy of deep learning techniques for synthetic media analysis. The findings underscore the importance of continuous research and development in combating the proliferation of synthetic media, thereby safeguarding the authenticity and trustworthiness of online content. Index Terms—CNN, LSTM, VGG
Visual Saliency Detection using Deep Learning
Authors:   Computer Department. New Horizon Institute of Technology and Management.  Thane, India, Joshi , . Indira
Published: May 2024

Salient object discovery models mimic the gesture of human beings and capture the most salient region/ object from the images or scenes. This field has numerous important operations in both computer vision and pattern recognition tasks. Despite hundreds of models proposed in this field, it still has a large room for exploration. This paper demonstrates a detailed overview of the recent progress of saliency discovery models in terms of heuristic- grounded ways and deep literacy- grounded ways. We've bandied and reviewed it’s co-related fields, similar as Eye obsession- vaticination, RGBD salient- object- discovery, co- saliency object discovery, and videotape- saliency- discovery models. Image saliency object discovery can fleetly prize useful information from image scenes and further assay it. At present, the traditional saliency target discovery technology still has the edge of outstanding target that can not be well saved. Convolutional neural network( CNN) can prize largely general deep features from the images and effectively express the essential point information of the images. This paper designs a model which applies CNN in deep saliency object discovery tasks. It can efficiently optimize the edges of focus objects and realize largely effective image saliency discovery through multilayer nonstop point birth, refinement of layered boundary, and original saliency point emulsion. The experimental result shows that the proposed system can achieve further robust saliency discovery to acclimate itself to complex background terrain.
Analysis and Design of Cable Stayed Bridge
Authors:   Imperial College of Engineering and Research, Pawar Omkumar
Published: May 2024

Cable Stayed Bridges are one of the most fascinating icons in the field of Engineering and are commonly used bridge typologies for spans between 200m and 1100mm due to their structural efficiency, cost and aesthetics. The basic structural form of a cable-stayed bridge is a series of overlapping triangles comprising the pylon, the cables, and the girder. All these members are under predominantly axial forces, with the cables under tension and both the pylon and the girder under compression. Axially loaded members are generally more efficient than flexural members. This contributes to the economy of the bridge. In this project, we have made an attempt to analyses a 200m span Cable Stayed Bridge using the STAAD Pro software based on the design parameters which includes the bending moment, shear force and displacement, Reaction Graph, Total Quantity Materail, etc. Key Words: Cable Stayed Bridges, Unknown Load Factor Optimization, Construction Stage Analysis, Influence Line Diagram (ILD), SFD BMD Diagram, Analysis Design.
AUTOMATED SURVEILLANCE SYSTEM FOR MILITARY BASES THROUGH INTEGRATED FACIAL RECOGNITION AND WEAPON DETECTION
Authors:   Department of Computer Science and Engineering, University College of Engineering, Thirukkuvalai, S Madhan
Published: May 2024

Modern military bases need the most sophisticated safety measures possible. This paper proposes a software solution that makes use of cutting-edge technology like face recognition and weapon detection to improve perimeter security. Using face recognition algorithms, the system seeks to identify possible invaders while concurrently identifying and categorizing any weapons they could be carrying. The technology is designed to detect threats and promptly notify those in authority in order to enable prompt and decisive responses. Key considerations include ensuring the accuracy, reliability, and scalability of the system, as well as addressing ethical and regulatory concerns surrounding data privacy and algorithmic biases. By integrating seamlessly with existing surveillance infrastructure, this software offers a proactive approach to safeguarding military installations, ultimately enhancing overall security and operational readiness. Key Words: Face recognition, Weapon detection, Real-time monitoring, Military base security, Alarm system
ARTIFICIAL INTELLIGENCE IN NUTRITION: REVOLUTIONARY DIETARY RESEARCH
Authors:   Department of Computer Applications  Chandigarh School of Business, Jhanjeri, Mohali, Sharma Tarun
Published: May 2024

Artificial intelligence has emerged as a transformative technology with the potential to revolutionize various aspects of society, including the field of nutrition. This research paper aims to explore the impact of artificial intelligence on nutrition and how it can revolutionize dietary research. With the rapid advancements in AI technology, it holds great promise for improving our understanding of nutrition and enhancing personalized dietary recommendations. By utilizing machine learning algorithms and big data analysis, AI can analyse vast amounts of nutritional information, including food composition, dietary patterns, and individual health data, to identify patterns and associations that can help inform dietary recommendations. Furthermore, AI can also assist in the development of novel food products and formulations that cater to individual dietary needs and preferences. By leveraging AI capabilities, researchers can gain deeper insights into the complex interactions between diet, genes, and health outcomes. This research paper aims to provide an overview of the current applications of AI in the field of nutrition, including its use in dietary assessment, personalized nutrition recommendations, and food product development. Keywords—Nutrition, Artificial Intelligence, Diet.
AIR QUALITY MONITORING USING MACHINE LEARNING
Authors:   Department of Computer Science Raghu institute of technology, Visakhapatnam, Kumar N. Uday
Published: May 2024

Air pollution is a critical environmental issue with significant implications for public health and the well-being of ecosystems. This project focuses on developing an innovative solution for air pollution monitoring utilizing machine learning (ML) techniques. The primary objective is to design a system that can accurately predict, analyze, and monitor air quality in real time, providing valuable insights for effective pollution control and management. The proposed system incorporates a network of sensors strategically placed in various locations to capture diverse air quality parameters such as particulate matter, nitrogen dioxide, sulfur dioxide, and more. The collected data is then processed through ML algorithms to identify patterns, correlations, and trends, enabling the system to accurately predict air quality levels. The project aims to address traditional monitoring systems' limitations by leveraging ML models' adaptability and self-learning capabilities. By continuously updating and refining the models based on incoming data, the system becomes more adept at providing precise and timely information on air quality fluctuations. This endeavour contributes to a deeper understanding of local air pollution dynamics and empowers decision-makers with actionable insights for implementing targeted interventions. The integration of ML in air pollution monitoring represents a significant step towards creating sustainable and data-driven strategies for mitigating the adverse effects of pollution on human health and the environment. Index terms Air pollution, Machine Learning, Environmental Monitoring, Sustainability, Predictive Modeling, Sensor Network, Data Analysis.
Influence of Chatbot on Consumer Purchase Intention
Authors:   Lovely professional University, Kumari, Anisha
Published: May 2024

This research explores the intricate relationship between chatbot interactions and consumer behaviour in online service delivery and decision-making processes. The study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews, to investigate the impact of chatbots on purchase intention. Through a comprehensive sampling strategy targeting diverse online shoppers, the research aims to provide insights into various aspects of chatbot interactions across different demographic groups and product categories. Analysis tools such as Pearson correlation coefficients and significance testing reveal nuanced relationships between variables, highlighting factors influencing consumer perceptions and behaviour regarding chatbots. Findings suggest that age plays a role in the perceived need for assistance with chatbots, emphasizing the importance of demographic considerations in understanding user experiences. Overall, this research contributes valuable insights into optimizing chatbot functionalities to enhance consumer trust, satisfaction, and purchase intention, paving the way for more personalized and effective chatbot experiences in diverse cultural contexts. Keywords: Chatbots, Purchase Intention, Consumer Behavior, Online Service Delivery, Trust, Transparency, User Expectations, Cultural Considerations, Interactivity, User Control, Design Elements, Customer Satisfaction
Effects of Social Media Platform on Generation Z in Personality Development
Authors:   Lovely Professional University, Sharma Parul
Published: May 2024

Today's Social media platforms have become an integral part of Generation Z's lives, profoundly shaping their personality development. Teenagers born between 1996 and 2010 are very closely related to technology. Every year the number of people using at least one social platform increases. This study explores the multifaceted influence of social media, highlighting both its potential to empower self-expression, community building, and social awareness, and its capacity to fuel comparison, anxiety, and an unhealthy dependence on external validation. Critical characteristics of friendships, including validation, self-disclosure, and companionship, and instrumental support, can occur in equally effective and satisfying ways offline and online. By understanding these contrasting effects, we can encourage Gen Z to leverage the positive aspects of social media for self-discovery and connection while mitigating the potential for negative impacts on their developing personalities. The effects of social media platforms on Generation Z in personality development which is confirmed by p-values for six opinions by the Chi-Square test, are 0.0233, 0.024, 0.026, 0.01656, 0.007, and 1.05E04. For statistical Analysis, I used ORIGIN 2019 software. Research gaps in social media's influence on Gen Z's personality suggest the need for longitudinal studies to track long-term effects, exploration of platform-specific impacts, identification of mitigating strategies, understanding neurological implications, and consideration of global vs. regional differences. Addressing these gaps can inform interventions for healthy online behavior. Keywords: Generation Z, social media, personality development,
Managing Earnings Management: A Framework of Standards, Governance and Ethics
Authors: Shbeilat Mohammad K.
Published: May 2024

Manipulating earnings to superficially represent financial reports is a flagrant violation of management's assertions about the fairness of financial statements. Therefore, auditors have developed objectives to counter management assertions to ensure that financial reporting is credible and free from earnings management practices (EMP).  This study examines the role of an integrated system of auditing standards and corporate governance surrounded by a framework of ethical values and principles in reducing EMP through the use of a sequential explanatory mixed method. Through this approach, the results obtained from 131 surveys were used as input for the interviews to add a more in-depth understanding of this phenomenon and find fruitful ways to reduce EMP.

The results revealed that management's assertion on “accuracy, valuation and allocation” was most involved in EMP, thus, requiring a high degree of exercising professional skepticism. While “objectivity” was the ethical principle most respected by auditors, the results showed that the most serious threat to auditor independence that poses a challenge to the audit profession is the threat of intimidation. Moreover, the study showed that exercising the supervisory role in holding management accountable and following up on the work of auditors to uncover EMP requires real independence of the audit committee from the executive members. The findings have implications for economic policymakers in emerging countries where the sustainability of the audit profession and public companies is critical to economic development and stability. The study provides insights and guidance in mapping corporate governance for the future and benefiting from the experiences of developed countries as outlined in the study’s conclusion.
A Pilot Study on the Assessment of the Knowledge, Practice, and Challenges of Pharmaceutical Inventory Management among Community Pharmacists
Authors: P Preethi. , A Tharani. , Mavis.M Sneha , S Sowndharya.
Published: May 2024

Pharmacies and related supplies must always be available at the required location, in the requisite amount, and with the necessary quality for health facilities to offer comprehensive care. Efficient inventory management improves pharmaceutical product profitability by reducing procurement costs and preventing long-term storage, while poor inventory management hinders essential drug availability. The current study aims to assess the knowledge, practice, and challenges in applying inventory management methods. A mixed-method study design with sampling techniques of purposive and snowball methods was used. A semi-structured questionnaire was implemented for quantitative data and an open-ended question was employed to explore more information as qualitative data. The collected qualitative data were transcribed and identified as five major themes knowledge about inventory management, challenges faced by pharmacists in managing inventory, purchasing methods, stocking, and expiry, and the purpose of inventory control management. Most pharmacists employ the inventory management method based on their experience and the customer needs. Among the basic inventory management tools like ABC, VED, FSN, or XYZ, the use of VED and FSN methods for purchasing and stocking is high. It is noted that they lack professional training but gained more knowledge and skills through the experience. When they were asked about the inventory control methods, about 70% of them were not aware, and of those who said yes 20 % were able to answer at least 1 method and 10 % were not able to correctly mention the name. To conclude the pharmacist should start considering the modern methods along with the current methods for effective marginal profit and competitive management of the pharmacies.
Roleplay: A Tool for Engaging English Language Learners
Authors: Vanisree M. , Bhargav KVVN Sai , Ontipuli Divyanshi
Published: May 2024

This article examines the advantages of incorporating roleplay into academic environments, with a specific emphasis on its ability to improve communication and promote the acquisition of vocabulary among students. The study explores the design concerns and assessment methodologies used in roleplay exercises in academic settings, emphasising their efficacy in fostering critical thinking, argumentation skills, and a profound comprehension of course material. The study investigates the impact of roleplay activities on learners' readiness for real-life business interactions, acquisition of negotiation skills, and improvement of professional communication in business environments.
EXPLORING FOREIGN EXPERIENCES IN TEACHING BOTANY: INSIGHTS AND INNOVATIONS
Authors:   Jizzakh state pedagogical university, Uzbekistan, Kizi Zamonova Manzura Vali
Published: May 2024

Botany, the study of plants, holds paramount importance in understanding the fundamental processes of life on Earth. Teaching botany, however, presents various challenges due to its multidisciplinary nature and the diverse learning styles of students. Thisarticle reviews foreign experiences in teaching botany, focusing on innovative approaches, pedagogical strategies, and technological advancements employed to enhance student engagement and comprehension. Insights from diverse educational settings shed light on effective methodologies and provide valuable lessons for educators worldwide.
MENINGKATKAN DISIPLIN ANAK USIA DINI MELALUI PEMBERIAN REWARD
Authors: Madiyanah Ayuk nur , Farihah Himmatul
Published: May 2024

Hasil Pengamatan awal menunjukkan bahwa pembelajaran di TK Dharma wanita Persatuan Siwalan kecamatan Panceng Kabupaten Gresik kurang tertibnya dalam kedisiplinan. Berbagai hal yang menyebabkan hal ini, kurang tertibnya peraturan yang berlaku di lembaga, kurangnya pembiasaan anak sehingga kurangnya kedisiplinan, serta kurangnya dukungan dari orang tua. Dari 16 anak hanya 3 anak yang sudah disiplin beberapa yang lain masih memerlukan bimbingan dari guru. Penelitian ini bertujuan untuk: 1) mendeskripsikan pelaksanaan pemberian reward dalam meningkatkan kedisiplinan pada anak kelompok B di TK Dharma Wanita Persatuan Siwalan kecamatan Panceng kabupaten Gresik, 2) Menjelaskan hasil peningkatan disiplin anak melalui pemberian reward pada kelompok B di TK Dharma Wanita Persatuan Siwalan kecamatan Panceng kabupaten Gresik. Model Kemmis dan Mc Taggart.yang digunakan dalam penelitian ini Diimplementasikan melalui dua siklus tindakan. kedisiplinan permulaan dikembangkan dalam penelitian ini: 1) Kedatangan anak ke sekolah, 2) Berbaris rapi dan tertib memasuki ruang kelas, 3) Berseragam rapi sesuai atribut sekolah. Hasil penelitian menunjukkan bahwa dengan pemberian Reward untuk mengupayakan  disiplin anak pada siklus pertama meningkat sebesar 18,8% menjadi 37,5%, dan pada siklus kedua meningkat lagi sebesar 37,5% menjadi 81,3%. Dari keseluruhan peningkatan angka sebelum tindakan sampai awal siklus kedua 62,5%.
Development of mental education through sports to enhance adolescent personal resilience
Authors: Marheni Eddy , Purnomo Eko , Okilanda Ardo , Oktavianus Irfan , Hambali Burhan , Burstiando Rizki , Cahyani Firunika Intan , Jermaina Nina
Published: May 2024

Objective: Based on the problem at hand, the aim of this study was to investigate how adolescents' personal resilience is understood in the context of developing mental education through sports activities. Research Methods: This study used a quantitative research method with an experimental approach. This study used a sample of high school students (SMA) class XI which was taken by randomized sampling. The total sample of this study amounted to 50 students. Students who became the research sample were assumed to have the ability (in class XI) and the same age (average 16 years). Research results: The results show that there is an average difference between the Pre-test and Post-test physical education learning outcomes, which means that there is an average difference in students' personal resilience scores between the pre-test and post-test. These results indicate the influence of the results of mental education intervention through physical education in increasing students' personal resilience. In the implementation of the post-test, the average value is 100.3 while the average value of the post-test is 49.5, or if you look at the difference (gain) between the post-test and the pre-test of 50.4 which shows a significant result of increasing student resilience from the results of mental education interventions in sports education learning at school. Conclusion: Mental education development programs in adolescents should be tailored to the health interests of the adolescent generation. Sports clubs have the potential to be an arena for health improvement.
Final pass and its relationship with final action for the creation of goal-scoring opportunities at EURO 2020
Authors: Kyranoudis Efstratios , Papadimitriou Katerina , Kyranoudis Aggelos , Giannakopoulos Anestis , Konstantinidou Xanthi
Published: May 2024

The purpose of this research was to study EURO 2020 goal scoring opportunities by recording the technique of the final pass, the technique of the final action and their zone of execution. A sub-objective was to test the relationship between the technique and zone of the final-pass, but also the relationship between the final-pass zone, the zone of final-action and its efficiency. The parameters studied were, a) the final pass zone, b) the final pass technique, c) the final action zone, and d) the result of the final action. Data collection was done with SportScout software. The correlation between variables was tested using the Crosstabs analysis and the Chi-Square statistic criterion. The results showed that most of the final passes were made from the zone outside the 18-yard box and the most common techniques used were the medium-range and the short-range passes. The independence or homogeneity test showed that the type of final pass was significantly influenced by the zone in which it was executed. The same was the case with the final action zone, which appeared to be significantly affected by the final pass zone. However, the effectiveness of the attacks depended only on the zone of final action (the final actions were more effective when taken from the zone between the six-yard box area and the penalty spot). An assessment of the opportunities that lead to goals and how they are created can help identify the tactical factors that increase efficiency and lead to more goals being scored.
Dynamic levels of hormonal, oxidants, insomnia, and stress in badminton athletes who practice morning and evening
Authors: Ariyandy Andi , Arsyad M. Aryadi , Hasyar Andi Rizky Arbaim , Abdullah Meutiah Mutmainnah , Nawir Nukhrawi , Astuti Ayun Dwi , Basri Muhammad Iqbal , Renaldi Rinvil , Rachman Mochmmad Erwin , Surur Ainun Zulkiah , Usman Wahyu , Utami Fadliana
Published: May 2024

Circadian rhythms are internal mechanisms that regulate various aspects of the human body's physiology and behaviour that are influenced by activity, physicality, and change time in 24 hours. This study aims to compare oxidant levels and hormonal levels based on differences in training times, namely morning and evening, in badminton athletes. This research involved 44 badminton athletes using a purposive sampling technique who were divided into a morning group (n = 22) and an evening group (n = 22). Melatonin levels were measured using the Elabscience Kit (No. E-EL-H2016) and malondialdehyde (MDA) levels using spectrophotometry. All research procedures have received ethical approval from the Hasanuddin University Medical Faculty Ethics Commission (Number: 377/UN4.6.4.5.31/PP36/2023). The results of this study indicate that the athlete's melatonin value in the morning was 76.71 ± (29.05-247.45) higher than in the evening 80.43 ± (50.83-155.24) Meanwhile, the athlete's MDA value in the evening was 2.08 ± (0.74–4.57) higher compared to the MDA in the morning of 1.09 ± (0.33–3.71). Meanwhile, based on the insomnia value for evening training, a higher value was obtained compared to morning training, namely 9.50 ± (3-11). However, there was no significant difference in stress levels. The results of the study showed that badminton athletes who trained at night tended to experience sleep disturbances (insomnia) and increased oxidant levels, while hormonal levels, especially melatonin, were higher in athletes who trained in the morning.