Investigating Business Strategies for the Biotechnology, Medical Device, and Healthcare Sectors to Manage Uncertainty
Authors:-Atharva Prasad Jakhadi

Abstract-The medical devices, biotechnology, and healthcare industries thrive on innovation, necessitating substantial investment in research and development (R&D) and the introduction of new products. These innovation activities, while essential, come with high costs and the complexities of commercialization. Thus, effective business models (BMs) that align with such innovation activities are vital. This study explores the intricacies of BMs within innovator companies in the health-tech sector, highlighting the critical role these models play in managing uncertainties and promoting innovation. A systematic literature review was conducted, analyzing 34 recent papers to synthesize knowledge on BMs in health-tech companies and compare models across dimensions such as infrastructure, offerings, customers, and finances. This review identified 9 key BMs: open innovation, sustainable, dynamic, dual, spin-off, frugal, high-tech entrepreneurial content marketing, backend, and product-service systems BMs. It was found that open innovation, sustainability, and dynamicity are foundational models that can serve as a basis when combined with others. The study presents a Dynamic Sustainable Business Model (DSBM) for Health-Tech, tailored to integrate adaptability and sustainability, offering a framework for leveraging emerging technologies effectively. Additionally, a conceptual framework of 28 groups of uncertainty factors in BMs was developed to aid risk management in health-tech. These findings provide crucial insights for health-tech companies, assisting them in managing innovation and value creation in a rapidly evolving landscape.

DOI: 10.61137/ijsret.vol.10.issue3.166

Published by: Kajal Tripathi

Investigation of Stress Patterns of Trapezoidal Cross Section Specimens Using Experimental Photoelasticity Method and Finite Element Analysis
Authors:-Om Prakash Sondhiya, Roopesh Tiwari

Abstract-In the fields of mechanics and materials science, photo elasticity is a reliable experimental method that provides a visual evaluation and analysis of the distribution of stress in materials that are transparent or translucent. This non- destructive testing technique uses the special property of materials known as birefringence or double refraction to visualize stress on a model under load. The process involves building a physical model that mimics real-world structures, applying mechanical stress to the model, and carefully choosing a suitable photo elastic material that exhibits birefringence. The material undergoes birefringence when it is under stress, which causes changes to its optical characteristics. As a consequence, different stress levels are reflected in the pattern, which makes it easier to identify stress concentrations and possible failure areas and offers insights into how materials behave under varied circumstances. In the current study a photo elasticity unit was used to evaluate the trapezoidal specimen under four different stresses. Next a comparison was made between the experimental analysis results and ANSYS simulation (Finite Element Analysis). Because of its intuitive user interface, the software functions as a virtual laboratory by enabling simulations with user-defined problem parameters that are tailored to the users circumstances.

DOI: 10.61137/ijsret.vol.10.issue3.431

Published by: Kajal Tripathi

Bioplastic: A Boon to Degrading Environment
Authors:-Mandeep Kaur, Associate Professor J J Mohindru

Abstract-Petroleum-based plastics have come under a lot of surveillance in the past decade owing to the properties that made them endless items; their durability and expendability. The exploitation of such features during the industrial era has now resulted into the major environmental issue of plastic pollution. Bioplastics are being considered as an environment-friendly alternative. However, not all materials under this category are the same and this has caused many misconceptions about the asset and its after-life processing, which has led to illusioned perception of people about its use. Proper disposal and sorting procedures required for many of these bioplastics are not well known, which affects their optimum degradation. This review aims to: (i) outline the production and properties of the most prominent bioplastics along with their impacts on the environment and the economy, (ii) discuss the differences between oxo and hydro biodegradable materials, (iii) explore the superiority of bioplastics compared to conventional plastics, and (iv) enumerate the future directions that can help them become a ubiquitous asset . Proper knowledge of the various bioplastics and the implementation.

DOI: 10.61137/ijsret.vol.10.issue3.165

Published by: Kajal Tripathi

Advancing Warehouse Management Systems: Optimizing Loading-Unloading, Conditioning, Packing and Marking Processes with Adaptive AI Technology
Authors:-Abu Sied

Abstract- Warehouse management efficiency is critical in current supply chain operations, necessitating the deployment of adaptive technological solutions. This study investigates the application of modern technologies to improve several areas of warehouse management systems (WMS), such as loading and unloading, conditioning, packing, marking, and provisioning. This study explains the challenges faced by traditional warehouse management procedures and the potential given by adaptive technological improvements using a detailed analysis of existing literature. Key technologies such as the Internet of Things (IoT), robotics, artificial intelligence (AI), and automation are reviewed in the context of their use to improved warehouse operations. Furthermore, the paper emphasizes the advantages of integrating these technologies, such as increased efficiency, accuracy, and scalability, while also discussing potential barriers and concerns for successful implementation. Warehouses can satisfy the changing needs of contemporary supply chain systems and improve productivity by using adaptive technological solutions.

DOI: 10.61137/ijsret.vol.10.issue3.164

Published by: Kajal Tripathi

Effect of Unique Chromium Reductase Activity on Bioremediation of Chromium in Proteus SP. Isolated from Waste Water
Authors:-Assistant Professor Suhal Sardar, Assistant Professor Aabid Ahmad, Assistant Professor Anjali Jakhar, Assistant Professor Vikrant Kumar

Abstract-This is the first time where Proteus sp. has been isolated from waste water which has higher potential for bioremediation. Chromium (Cr) compounds are used in dyes and paints and in the tanning of leather. So they are found in soil and ground water at abundant industrial sites, now needing environmental clean-up and remediation. More toxic Cr (VI) is reduced by the chromium reducing bacteria to Cr(III) which is less toxic. Isolation of chromium reducing bacteria from water samples from the industrial area of muzaffarnagar was done to observe the effect of Chromium on them, to study their growth curve characteristics and for remediation assay of heavy metal contaminated industrial wastes by evaluating their Cr(VI) reducing ability through chromate reductase activity. Potassium dichromate (K2Cr2O7) and potassium chromate (K2CrO2) were employed for the growth of these bacteria. Attempts were made to isolate the genomic DNA of the organism and to amplify its 16S rRNA gene for identification of the organism using Bioinformatics tools. The organism identified was Proteus sp. Fourier transform infrared (FT-IR) spectroscopic study was performed to obtain information of the possible cell-metal ion interaction. This study has application in terms of bioremediation of metal contaminated industrial waste water with the bacteria isolated from waste water. This process is environment friendly and cost effective. Moreover the chromate reductase enzyme from isolated bacteria can be purified and immobilized which can be further used to detoxify of Cr from tannery wastes.

DOI: 10.61137/ijsret.vol.10.issue3.262

Published by: Kajal Tripathi

Isolation and Analysis of Amylase Producing Bacteria from Soil Samples
Authors:-Vipin Kumar Saini, Disha Sharma, Saba Rana, Zehra Husaini, Mohd Salman, Shalini Mishra, Shayma Saifi

Abstract-The aim of this study is to reveal the ability of various isolates obtained from soil to produce amylase enzyme. Soil samples were collected from Shri Ram College nursery. Amylase is an enzyme that catalyzes the hydrolysis of starch into simpler sugars such as maltose and glucose. It is produced by various organisms including bacteria, fungi, plants, and animals, and plays a crucial role in carbohydrate metabolism. A total of 10 species were isolated from soil. The two isolates were showed better results on Nutrient agar starch medium plates. A Gram stain test was carried out to identify the two isolates as Gram-positive rods. Morphological and biochemical analysis on the basis of standard indicated that they all associated mainly with members of the Bacillus sp.

DOI: 10.61137/ijsret.vol.10.issue3.261

Published by: Kajal Tripathi

Soil Microbial Communities in the Continuous Sugarcane Cropping Fields: A study
Authors:-Ashu Chaudhary, Vikas Kumar, Ankit Kumar, Zehra husaini, Vipin Kumar Saini, Shayma Saifi, Darshika Sharma, Vandana Sharma

Abstract-Soil microbial communities are pivotal for soil health and agricultural productivity, comprising bacteria, fungi, protozoa, and viruses that interact with each other and with plant roots. They break down organic matter, releasing essential nutrients, maintain soil structure, and help protect plants from disease and pests. However, human activities like land use change and chemical use can negatively impact these communities, leading to soil degradation and reduced crop productivity. Continuous sugarcane cropping exacerbates soil degradation, reducing fertility and increasing susceptibility to pests and diseases due to nutrient depletion, soil compaction, and altered microbial balance. To mitigate these impacts, practices such as crop rotation and organic matter application are crucial. This study examines the taxonomic and functional diversity of soil microbial communities in continuous sugarcane cropping fields in Uttar Pradesh. Methodologically, it identifies research questions, evaluates methodology, analyzes taxonomic and functional diversity, interprets results, and communicates findings effectively. Results indicate high microbial diversity but reduced abundance of beneficial taxa due to continuous sugarcane cropping, impacting soil health and sustainability. Adoption of sustainable agricultural practices is essential to support soil health and microbial diversity. Further research is needed to understand the long-term effects of continuous sugarcane cropping and develop mitigation strategies.

DOI: 10.61137/ijsret.vol.10.issue3.260

Published by: Kajal Tripathi

Sentiment Analysis Text Extraction from Tweets with Spacy NER
Authors:-Pijush Pathak, Linson Thomas Verghese, Dr.G.Divya

Abstract-This project investigates sentiment analysis on Twit- ter data using spaCy, a flexible Natural Language Processing (NLP) framework. Our goal is to create algorithms that can recognize and extract text segments from Tweets that convey sentiment. This entails using tagged Twitter data to train two spaCy Named Entity Recognition (NER) models: one for positive sentiment and one for negative sentiment. Next, new Tweets are subjected to these models in order to predict user emotion and extract pertinent sentences. By identifying sentiment-infused text fragments, we are able to better comprehend the emotions around particular issues or phrases by gaining insights into the opinions and motivations of Twitter users.

DOI: 10.61137/ijsret.vol.10.issue3.163

Published by: Kajal Tripathi

Stacked Classification Model with Cryptographic Process in IoT Data to Prevent and Detect Attacks
Authors:-N. Shashikala, T.N Anitha, Priti Mishra, Renuka Patil Herakal, Jayasudha Kolur

Abstract-The paper introduces a novel approach termed Gradient Optimization Features Integrated Stacked Classifier (GOFI-SC) for enhancing intrusion detection and attack prevention in Internet of Things (IoT) environments. GOFI-SC integrates feature optimization, cryptographic processes, and stacked classification models to effectively identify and classify various types of attacks. The feature importance analysis underscores the significance of attributes such as source IP address, destination IP address, and protocol in detecting malicious activities. Optimization of features with GOFI-SC demonstrates progressive reduction in loss values over iterations, indicating improved model convergence. the cryptographic process ensures secure communication and data integrity, with encryption and decryption speeds of approximately 150 MB/s and 175 MB/s, respectively. Classification results exhibit high accuracy, precision, recall, and F1-scores across different epochs and attack types, with accuracy reaching up to 0.990 and F1-scores exceeding 0.990.

DOI: 10.61137/ijsret.vol.10.issue3.162

Published by: Kajal Tripathi

Practical Application of the Sup-Wald Test in Regression Models Using R
Authors:-Research Scholar Siddamsetty Upendra, Dr. R. Abbaiah, Dr. P. Balasiddamuni, Dr. K. Murali

Abstract- The Sup-Wald test is an important tool in regression analysis, especially for evaluating the joint significance of coefficients in a model. This paper presents a practical and descriptive study of the Sup-Wald test, focusing on its application to the simple linear regression model. We define hypotheses, elucidate the calculation of the Wald statistic, examine its distribution, determine critical values, and interpret results. Emphasis is placed on Ordinary Least Squares (OLS) estimation and variance precision. A practical illustration is presented through an R program, offering researchers hands-on guidance for implementing the Sup-Wald test in real-world scenarios. This paper provides practitioners with a clear understanding and practical skills for utilizing the Sup-Wald test in regression analysis.

DOI: 10.61137/ijsret.vol.10.issue3.161

Published by: Kajal Tripathi