Volume 13 | Issue 11 |

 Abstract

Impulse buying has emerged as a critical area of interest within consumer behavior research, particularly with the rapid expansion of organized retail in developing economies such as India. Organized retail formats--supermarkets, hypermarkets, departmental stores, and large-format specialty outlets--have transformed the shopping environment and significantly influenced unplanned purchases. This paper presents a comprehensive literature review on impulse buying behavior in organized retail settings, synthesizing key insights from studies published over the past decade. The review examines psychological factors such as emotions, mood states, hedonic motives, and personality traits; external retail stimuli including store layout, lighting, music, and promotional cues; and situational influences such as time pressure, shopping companions, and payment methods. The findings reveal that impulse buying is a multidimensional construct shaped by both internal consumer characteristics and external environmental triggers. Despite extensive global research, significant gaps remain in the Indian organized retail context, particularly regarding district-level consumer patterns, socio-cultural influences, and the role of emerging behavioral variables. This review lays the foundation for future empirical studies and offers meaningful implications for retailers aiming to design effective in-store strategies that ethically influence consumer purchase decisions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Impulse Buying; Consumer Behavior; Organized Retail; Retail Atmospherics; Purchase Triggers; Shopping Psychology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The districts of Mirzapur and Sonbhadra are part of Uttar Pradesh's Vindhya area, which is distinguished by a discordant range of old hills and mountains that naturally divide India. There are many different tribal communities living in this region, which has tropical dry deciduous forests. Pleurotus djamour is also known as the Pink Oyester Mushroom due to the pink color of its fruiting bodies. Among all the Pleurotus mushroom species, this one is distinct. Their high-quality protein, high-fiber, low-fat, vitamin, and critical minerals make them incredibly nutritious. Using the Polypropylene bag method, the yield performance of Pleurotus djamour was evaluated on four readily available substrates: sugarcane bagasse, banana stem, wheat straw, and Eichhornia. During the 57-day crop period in August and September, wheat straw produced the highest yield (725.7 g/kg dry substrate). In October-November (the 65-day crop), the banana stem yielded the lowest amount (200.5 g/kg); but, because of the longer culture time, a higher yield was achieved. The primary objective of the study is to cultivate P. djamour using a cost-effective approach and to assess its yield performance on various substrates.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pleurotus djamour, Vindhya region, substrate, yield performance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the rapid development of Artificial Intelligence, there is a rise in the use of AI-enabled technologies in the healthcare domain. The field of Orthopedics, which deals with bone-related disorders like fractures, improper development of bone, high load stress, and osteoporosis, is very much in need of a mechanism for swift and precise detection of these complications at an early stage. Traditional systems rely on medical experts who employ manual interpretation of images obtained by radiography. Manual analysis might be slow and prone to mistakes. To overcome this, the paper proposes an automated system for abnormality detection. The system uses Convolutional Neural Network (CNNs) to classify the bones and identify bone disorders like osteoporosis with an accuracy of 91.8% using the DenseNet121 model and 86.9% with the MobileNetV2 model, which proved to be more competitive and faster. The proposed system provides an interpretative visualization and appropriate reasoning of the obtained results using Grad-CAM (Gradient Class Activation Maps). A graphical interface facilitates interaction, annotation, and report generation

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Orthopedics, Osteoporosis, CNN, Bone Classification, Abnormality Detection, X-ray Analysis, Feature Extraction, Image Analysis Techniques, Healthcare Support, Graphical Interface, Explainable AI, Fracture Detection, Grad-CAM.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Safety of an individual is one of the most sensitive aspects of life. Non-locals and tourists often lack local crime-awareness and cannot take necessary precautions. This work presents Suraksha, an integrated system for crime awareness, prediction, and visualization that leverages historical crime data, predictive analytics, and interactive dashboards. The system fetches crime records, processes and normalizes them, predicts next-year crime trends, and presents structured outputs which the frontend consumes to display interactive visualizations and precaution messages.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Suraksha, Crime Awareness , Crime Prevention ,Data Normalization, Ridge Regression, Data Visualization, Indian Crimes Dataset ,Predictive Analytics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Malware continues to rapidly evolve with sophisticated techniques aimed at evading traditional detection mechanisms, posing significant challenges to cybersecurity. This combined project presents the design and implementation of a customized, Docker container-based sandbox environment to perform secure and scalable malware behavior analysis. The mini project focuses on creating a lightweight, isolated Python sandbox using Docker, restricting CPU, memory, and network access to safely execute untrusted scripts. This sandbox is optimized for academic and testing purposes, enabling secure volume mounting for output retrieval without compromising host security. Building upon this, the major project advances the sandbox to accommodate comprehensive malware detection by integrating behavioral monitoring tools, including system call tracing, network traffic capture, and file system integrity checks. Leveraging Docker's rapid deployment and resource management capacities, the system orchestrates automated container lifecycles, ensuring malware analysis is conducted in isolated, ephemeral environments. This approach balances performance with security, allowing detailed behavior capture while preventing host infection. Experimental results demonstrate the sandbox's effectiveness in simulating various malware actions, including file creation, network operations, and privilege escalation attempts, under strict resource constraints. The project significantly reduces overhead compared to traditional virtual machine sandboxes, offering extensibility for future enhancements like machine learning-based detection and cross-platform support. Through this research, Docker containerization is validated as a practical foundation for dynamic malware analysis, capable of supporting academic research, malware investigation labs, and automated threat intelligence workflows with improved speed, safety, and scalability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Docker, Sandbox, Cybersecurity, Malware Analysis, Containerization, Python, Isolated Environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake Profile Detection, Multimodal Fusion, Machine Learning, Social Media Security, Deep Learning, Meta-Classifier

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the context of Indian democracy, Pervasive Right-wing digital Propaganda is used by political actors as a strategic tool to accomplish their political and ideological agendas, undermining the freedom of speech and belief, both promised and upheld as fundamental rights in our constitution. The primary objective of this paper is to understand the digital discourse of the right-wing in the context of Twitter. And, build an ANN and CNN-BiLSTM RNN to detect and predict the right-wing nature of the tweet. The model will be trained on a real-time 51000 dataset of various propaganda and non-propaganda Twitter handles. The ANN model yields an accuracy of 97% after hyperparameter tuning, and CNN-BiLSTM RNN yields an 87% AUC score after hyperparameter tuning. Analysing the empirical data drawn from the exploratory data analysis and insights drawn from the models, the paper will further highlight the trends of right-wing account usage and their digital propaganda, calling for a new approach to using metadata to understand right-wing tendencies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indian Digital right-wing propaganda, real-time dataset, ANN, CNN-BiLSTM, metadata analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Orthognathic surgery is essential for correcting jaw and facial skeletal discrepancies, addressing functional impairments, aesthetic concerns, and airway compromise. Traditional planning methods, including 2D cephalometry and splint-based model surgery, are limited by cumulative errors and restricted intraoperative adaptability. Digital workflows, such as virtual surgical planning (VSP) and intraoperative navigation, have emerged to enhance surgical precision, reproducibility, and safety. Intraoperative navigation enables real-time guidance, precise tracking, and accurate transfer of preoperative plans, improving outcomes in both routine and complex maxillary and mandibular procedures. Evidence demonstrates that navigation-assisted surgery reduces linear and angular deviations, improves occlusion, mandibular symmetry, condylar positioning, and aesthetic results, while minimizing complications and revision rates. Integration with CAD/CAM, patient-specific guides, and adjunctive technologies further optimizes surgical workflow and multidisciplinary collaboration. Future directions include augmented/mixed reality, robotics, and AI-driven navigation to advance precision and efficiency. Overall, intraoperative navigation represents a transformative tool, enhancing predictability and patient outcomes in orthognathic surgery.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Orthognathic surgery, Intraoperative navigation, Virtual surgical planning, CAD/CAM, Surgical precision

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Microfinance has become one of the key approaches to economic development that focuses on delivering financial services to the financially excluded population and enterprises. Microfinance is rapidly becoming popular in developing countries as a poverty reduction and entrepreneurship finance strategy. This paper evaluates microfinance institutions' (MFIs) roles in small business and poverty reduction in developing countries.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Finance Sector

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Geriatric prosthodontics focuses on restoring oral function, esthetics, and quality of life in elderly patients while addressing the unique physiological, psychological, and systemic changes associated with aging. Aging-related factors, including tooth loss, alveolar ridge resorption, thinning mucosa, reduced salivary flow, systemic comorbidities, and polypharmacy, complicate prosthetic rehabilitation. Psychological and social challenges such as cognitive decline, depression, anxiety, sensory deficits, social isolation, and financial constraints further influence treatment acceptance and compliance. Prosthodontic strategies must prioritize simplicity, stability, and durability, utilizing conventional dentures, removable partial dentures, overdentures, implant-supported prostheses, and digital dentures, tailored to the patient's functional capacity and systemic health. Innovations in digital dentistry, CAD/CAM fabrication, biomaterials, and tele-dentistry facilitate precision, ease of use, and rapid duplication, improving adaptation and continuity of care. Multidisciplinary approaches, caregiver involvement, and patient education are essential for successful outcomes, emphasizing holistic, patient-centered care.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Geriatric prosthodontics; Elderly patients; Edentulism; Implant-supported prostheses; Digital dentures

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Creative Commons Attribution 4.0 and The Open Definition