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707 articles for “Attributes”
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Studies on Physiochemical Attributes and Sensory Evaluation of Steamed Sweetened Dairy Products and there will be an Innovative Study in Food Science
Abstract: Chhana is one of the popular traditional Indian dairy products. It is high in nutritive value, consumed by people of different age group almost in every house. Chhana is mainly used as base ingredients for manufacturing of sweetmeats, especially in eastern region of India. To increase the palatability of chhana, an attempt was taken to develop a product-steamed sweetened chhana by adding sugar into chhana and steaming the mixture. On …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 11, Issue 1, 2022 · pp. 36–45 Read article
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Phenological Attributes of Angiospermic Flora in a Riverine Wetland of Gorakhpur
Abstract: AbstractPhenological investigation of the angiospermic flora in Turanala a riverine wetland of Gorakhpur District in Uttar Pradesh of India was conducted during 2012-2013. Total 166 plant species belonging to 128 genera, under 54 families have been recorded. The leading plant families which play a key role in formation of the vegetation in Turanala wetland were Asteraceae (18 species), Poaceae (14 species), Cyperaceae (12 species), Scrophulariaceae (10 species) and Amaranthaceae (10 …
Published in Research & Reviews : Journal of Ecology · Vol. 4, Issue 2, 2015 · pp. 1–11 Read article
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Comparative Studies on Physico-chemical and Sensory Attributes of Natural and Artificial Whey Protein Beverages
Abstract: Whey, the liquid remaining after the precipitation of milk casein was used and there physicochemical properties were measured. The aim of the study was to utilise the valuable nutrients present in whey by preparing a ready-to-serve modified whey beverage. Two types of beverages were prepared i.e., natural whey beverage using Himsagar mango and other one was artificial beverage using artificial colours and flavours. Shelf life of these beverages were studied …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 9, Issue 1, 2020 · pp. 1–6 Read article
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Grey relational fractional programming and cross-evaluating method for multi-attribute decision making problem in spherical fuzzy setting
Abstract: To apply the spherical fuzzy sets(SFSs) for multiple attribute decision making (MCDM) problems have the more realistic significance, because of the assessment data specified by experts are mostly fuzzy and uncertain, the uncertainty and vagueness, ambiguity and subjectivity of the information in an intricate decision making environment, In this paper, a method to acquire attribute weights of interval number form by using the maximization method of the grey relational relative …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 40–52 Read article
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Switch Movement: Overview of Various Key Attributes on Regulatory Scenario of OTC Legislations in U.S.
Abstract: The Rx-to-OTC switch was a phenomenal success in USA, which was based on risk/benefit ratio of all scientific evidences in collaboration with FDA, manufacturer and consumers. Different surveys speak about the success stories of Rx-to-OTC movement as consumers experience the benefit from self-care in terms of empowerment, convenience, savings of money and time, etc. OTC perspective of scientific and regulatory bodies is based upon a valid procedure and just not …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 4, Issue 2, 2017 · pp. 24–31 Read article
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Wear Attribute of Aluminium Metal Matrix Composite Reinforced With MWCNT, Produced By FSP, On A Vertical Milling Machine
Abstract: The exceptional properties of Aluminium metal matrix composites (AMMCs) like good hardness, specific strength, enhanced wear rate made huge demand in the automobile and aerospace industries. The classical methods of manufacturing AMMCs leave problems at the interface of matrix and reinforcement segregation, like an agglomeration of reinforcements, wettability etc. To overcome this, an alternate, innovative method of fabricating aluminium matrix surface composites has been invented, which is termed friction stir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 525–539 Read article
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An Overview of Privacy-Preserving Data Encryption Techniques in Mobile Cloud Computing for Big Data
Abstract: With the introduction of mobile cloud computing (MCC), data processing, storage, and sharing have undergone a radical transformation that has greatly improved organizational effectiveness and quality of life. But there are also serious worries about data security and privacy due to the increasing usage of mobile devices and cloud computing, particularly when managing large amounts of data from many sources like sensors and cellphones. The privacy issues surrounding MCC are …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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A Comprehensive Examination of the Compressive Test Results of Concrete Formulations Modified by The Insertion of Ceramic Powder and High-Density Polyethylene Illustrates Nuanced Changes in the Structural Performance Attributes of the Resultant Composite Materials
Abstract: It is becoming crucial to transition from a traditional, utilization-based society to a sustainable one, resulting of the decline in the natural environment, depletion of natural resources, and decreased capacity for final waste disposal. As the populatio grows, so will the demand for concrete. The major goal of this research is to look at the possible technical benefits of using extruded recycled high-density-polyethylene (HDPE) fibers into structural concrete. The mechanical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 193–205 Read article
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An Examination of Physical and Chemical Attributes of soil in the Vicinity of Industrial and Agricultural Zone in Jaipur
Abstract: This research paper examine the complex relationship among urbanization ,agriculture, and soil conservation in Jaipur , Rajasthan, with a specific focus on the Industrial Area. Utilizing a multidisciplinary approach, the study comprehensively examines soil health through extensive field studies and meticulous soil analysis. Central to the investigation is the evaluation of industrial activities' impact on soil quality, aiming to highlight challenges and propose integrated strategies for sustainable soil management. The …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 47–52 Read article
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Unveiling Bihar's Atmospheric Crisis: A Synoptic Review of PM 2.5 Dynamics, Source Attribution, and Airshed Vulnerabilities in the Eastern Indo-Gangetic Plain (Bihar)
Abstract: Bihar, situated in the pollution-trapping Indo-Gangetic Plain (IGP), faces a severe air pollution crisis characterized by annual PM2.5 concentrations of 80–100 μg m-3 exceeding WHO guidelines (5 μg m-3) and Indian NAAQS (40 μg m-3) by 4–6-fold. This review synthesizes data from CPCB/BSPCB monitoring, MODIS satellite retrievals, and peer-reviewed studies (2000–2025) to assess ambient air quality, sources, health impacts, policies, and research gaps in the state. PM2.5 and PM10 dominate, …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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Climate Change Threat in Jaipur: Mitigating and Sustainable Attributes Through Carbon Footprint Reduction
Abstract: Challenges of climate change are significantly increasing on a forward time scale. Such a phenomenon is predominantly seen in urban sectors where population is rapidly increasing, thereby resulting in extensive resource consumption leading to release of significant carbon footprint. An attempt has been made in the present paper by the authors initially to assess the carbon footprint of Jaipur, Rajasthan on a backward and forward time scale partly to suggest …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 35–50 Read article
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Assessing the Impact of the Compression Ratio on Emission and Performance Attributes of Jatropha Biodiesel Fuelled VCR Engine.
Abstract: In the view of fast diminishing petroleum reservoirs and polluted environment, it’s the need of time to opt for a viable alternative to diesel fuel. Fuels derived from plant oils or animal fats are better alternatives to diesel fuels. The jatropha derived from the non-edible plant has proven its ability for being an alternative to conventional diesel. The variable compression ratio (VCR) technology is recognised for improving the performance, efficiency, …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 6–17 Read article
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Evaluating the Mechanical Attributes of Flexible Polyurethane Foam Produced at Various Pressures
Abstract: This study explores the impact of different pressures (1atm and 0.75atm) on the mechanical characteristics of flexible polyurethane foam, employing varied compositions (0 - 40ppw) of CaCO3. Foam production occurred under two distinct pressure conditions: vacuum pressure and atmospheric conditions. Mechanical properties, including durability, compression set, resilience, support factor, elongation, hysteresis loss, bounce characteristics (including number of bounces), hardness, thickness loss value, elongation percentage, and tear resistance strength, were quantified …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 59–74 Read article
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A Comparative Machine Learning Framework for Early Prediction of Liver Cancer Using Clinical Attributes
Abstract: One of the main causes of cancer-related death globally is liver cancer, and improving patient outcomes depends heavily on early detection. However, low contrast, noise, organ similarity, and tumor shape and size variability make it difficult to accurately identify and segment liver tumors from medical imaging. Automated liver cancer diagnosis, segmentation, and prognosis have been greatly improved by recent developments in artificial intelligence (AI), especially deep learning. This work presents …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 · pp. 39–47 Read article
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Attribute based Level Adaptive Thresholding Algorithm for Object Extraction
Abstract: Image processing plays a vital role in the computer vision because most of the scenarios require object extraction and recognition. In order to utilize these images for the procedural analysis of the environmental entities in computational means, it must be a noiseless one. However, the images are affected through noises caused by the various acquisition techniques and hence an effective technique for denoising and segmentation is necessary in Computational Tomography. …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 2, 2014 · pp. 13–17 Read article
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Effect of Rank Based Correlation on K-Nearest Neighbour
Abstract: AbstractBecause of its simplicity, higher efficiency and effectiveness, K-nearest neighbour (KNN) isthe most popular and chosen algorithm in the last few years. It has many conveniences withthe exception of some inconvenience. In this study, we explore the correlation and dependencebetween attributes, and try to significantly improve the classification accuracy from existingalgorithm by skipping correlated attributes. To get classification accuracy, we applied thisskipping correlated attributes method in KNN ranking based classifier. …
Published in Current Trends in Information Technology · Vol. 7, Issue 2, 2017 · pp. 17–22 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Implementing Quality by Design (QbD): Strategies, Challenges, and Best Practices across Industries
Abstract: The present comprehensive review investigated the dynamic landscape of quality standards within the pharmaceutical sector, with a primary focus on the implementation and impact of Quality by Design principles. It illuminated the multifaceted challenges encountered by pharmaceutical companies in upholding stringent quality standards amidst evolving regulatory requirements and complex manufacturing processes. By embracing Quality by Design principles, the industry aims to foster a proactive and systematic approach to product development …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 28–36 Read article
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TRACE: Tracking the Loss of Memory Provenance in LLM Agents
Abstract: AI agents that carry memory across sessions gain better personalization and decision-making, but this persistence opens a serious security gap. When an agent repeatedly condenses earlier interactions into compact “lessons,” the trail linking each lesson back to the interaction that produced it gradually fades. We term this effect Reflective Attribution Collapse (RAC): the progressive loss of provenance and forensic traceability that results from repeated memory reflection. Under RAC, a malicious …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 33–49 Read article