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                <text>Web Usage Mining (WUM), is the process of mining user behaviour patterns from huge log fles. Weblogs provide substantial input to learning the identity of an online user. Analysis of these patterns extracted from the weblog datasets is currently being explored by various researchers. Due to the recent advent of automation, mining patterns from weblogs are automated. These automated mining processes focus on browsing habits and usage patterns. To make this process of gathering better, there are many ways to look at how users act and put them into relevant groups.Identifying, detecting, and classifying features that demarcate specifc traits that are related is an important task. Conventional research is designed to discover web usage mining strategies through clustering and classifcation methods. However, there is a need to focus on and improve the accuracy of the prediction systems that classify acquired features to fgure out the patterns of web users. Deep learning methods are used to mine weblog data to improve accuracy and precision. To improve user behaviour pattern mining, a two-level clustering process is introduced as Ensemble Fuzzy K-Means with Logit Boost Clustering (EFK-LBC) technique to extract the weblog. In this technique, a preprocessing step is included to remove redundant data and choose reliable log fles. The Fuzzy-K means clustering technique is used to identify behavioural patterns exhibited by recurrent users. Finally, the Logit Boost Clustering method is introduced to the data,that help in generating a strong cluster. Clustering of web users frequent behavioural patterns using the Logit Boost ensemble technique helps the proposed EFK-LBC method to improve newlinethe accuracy up to 88% and reduce the clustering time by 20% compared with existing approaches. Though the proposed EFK-LBC technique performs better for user identifcation, the different initialization of clusters provides various fnal clustering results.</text>
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                <text>Steganography, one of the data security mechanisms under our investigation, shields legitimate messages from hackers and spies by employing data hiding. Data protection is newlinecurrently the top priority due to the signifcant advancements in information technology due to high-security concerns. Traditional techniques for maintaining data confdentiality include steganography and cryptography; the distinction is that steganography does not naturally arouse suspicion, whereas cryptography does. Traditional linguistic steganographic methods suffer from limitations in automation, accuracy, and the volume of concealed text. The robustness and undetectability properties of these approaches also require improvement. Third-party vulnerability is often too high for conventional techniques to handle. Artifcial intelligence is increasingly replacing traditional model creation in steganography. Despite the fact that steganography ensures security, information sent over online social networks (OSN) is plainly not safe. Steganography along newlinewith encryption can make a difference with regard to privacy of information in transit. newlineThe research study aims to build algorithms or models and assess steganography s robustness, security, undetectability, and embedding ability. Two distinct types of data newlineconcealing employed for investigation: text and image. The results were encouraging newlinewhen we initially tested our Laplacian model using image steganography and compared newlinewith benchmark methods. The second experiment, which is based on AI, generates the cover text using secret information, examines the security and robustness of steganography. The study compared suggested text steganography model, 3-bit data concealing, with other existing techniques in order to ascertain the undetectability factor. The frst experiment used MATLAB tools, and the second used the markovify python module, RNN (Recurrent Neural networks), and the Huffman tree. Further format-based steganography methods utilized in the following experiment.</text>
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                <text>R, Madhushree; Sunajadevi, Kalathiparambil Rajendra Pai; Pinheiro, Dephan</text>
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                <text>R M., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Sunajadevi K.R.P., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Pinheiro D., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India</text>
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                <text>Mercury (Hg), a highly toxic environmental contaminant that presents significant ecological and health risks, even at low concentrations. There is an urgent need for precise and sensitive methods for detecting Hg2+ ions in the environment. In recent years, a new class of 2D layered materials, MXene, has gained enormous attention due to their unique properties, such as high surface area, oxidation resistance, thermal and chemical stability, electrical and thermal conductivity. This study presents the synthesis and characterization of Cr2C MXene quantum dots (MQDs) derived from Cr2CTx nanolayered MXene sheets via the probe-sonication method. The Cr2C-MQDs were characterized using XRD, FTIR, SEM-EDS mapping, and Zeta potential analysis. The vibrant green fluorescence material, Cr2C-MQDs, was investigated for Hg2+ detection, which exhibited high selectivity and stability with a limit of detection of 30.7 nM. The sensing mechanism is attributed to the strong affinity of Cr2C MXene quantum dots for Hg2+ ions.  2025 Elsevier B.V.</text>
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                <text>Cr&lt;sub&gt;2&lt;/sub&gt;C-MQDs; Cr&lt;sub&gt;2&lt;/sub&gt;CT&lt;sub&gt;x&lt;/sub&gt; MXene; Fluorescence quenching; Hg&lt;sup&gt;2+&lt;/sup&gt; sensing</text>
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                <text>Elsevier B.V.</text>
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                <text>R, Naveen Kumar; C, Neerupa; R, Muthukrishnan; G, Vengatesan; T, Muthu Kumar</text>
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                <text>Green is the new beautiful: exploring the role of sustainability in building brand equity in cosmetic brands</text>
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                <text>European Journal of Management Studies;pp.1-19</text>
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                <text>R N.K., Kristu Jayanti Institute of Management, Kristu Jayanti (Deemed to be University), Bengaluru, India; C N., Department of Professional Accounting and Finance, School of Commerce, Accounting and Finance, Kristu Jayanti (Deemed to be University), Bengaluru, India; R M., School of Management, Sri Krishna College of Engineering and Technology, Coimbatore, India; G V., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bangalore, India; T M.K., Department of Management, Rajalakshmi School of Business, Chennai, India</text>
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                <text>Purpose  This study investigates how embracing environmental responsibility and eco-friendly innovation in cosmetic brands cultivates brand equity. It specifically explores the mediating roles of a green brand image and consumer trust in driving sustainable value creation through these initiatives. Design/methodology/approach  A quantitative research design was employed using survey data from 326 online respondents, mainly young and educated females. A structured questionnaire with Likert-scale items adapted from validated studies measured environmental responsibility, eco-friendly product innovation, green brand image, consumer trust and buying engagement. Data analysis included reliability testing, factor analysis and structural equation modeling with bootstrapping to examine direct and mediating relationships. Findings  The study results show that perceived environmental responsibility strongly predicts buying engagement and significantly improves green brand image and consumer trust. Eco-friendly product innovation positively influences consumer trust but does not directly strengthen green brand image, indicating that innovation alone is insufficient without clear communication. Green brand image and consumer trust act as key mediators influencing buying engagement. Originality/value  This study presents an empirically validated framework explaining how perceived environmental responsibility and eco-friendly innovation enhance brand equity. It highlights the distinct mediating roles of green brand image and consumer trust, emphasizing the importance of transparent communication in aligning sustainability initiatives with consumer perceptions and supporting informed strategic decision-making.  Naveen Kumar R, Neerupa C, Muthukrishnan R, Vengatesan G and Muthu Kumar T</text>
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                <text>Patent Number: 201941045946, Applicant: Dr. Debabrata Samanta.&#13;
The present invention relates to method for face- recognition on the basis of sketch using deep convolution neural network. The objective of the present invention is to overcome the inadequacies of the prior art in techniques for face- recognition on the basis of sketches.</text>
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                <text>The remake is a phenomenon both well-known and immediately recognizable but in India it is not theoretically analyzed. However, by analyzing these remakes, we can understand how these films reflect some specific cultural differences between one state and other State in India. Here researcher has taken four original and its remake films to understand the phenomena of remake. The highly intensed watching the films has helped researcher to understand the difference of films original and remakes. Researcher took one Tamil Movie and its remake in Hindi and also a Malayalam Movie and its remake in Tamil. Films are Tamil Singam to Hindi Singam and Malayalam Manichithrathazhu to Tamil Chandramukhi.</text>
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                <text>In the recent past in major cities all over the world, public structures are vulnerable to blast loads caused by explosions either accidentally or intentionally. The intentional causes are not on hardened military targets but on important civilian structures, like commercial, financial and civic centers. The study of reinforced concrete Ground + 3 Storied structure subjected to blast loads have gained importance, as conventionally the reinforced newlineconcrete structures are not designed for blast loads as many of the loading codes do not mandate for the same and also due to the fact that quantifying the magnitude of the blast load is difficult to estimate. However, the structures are susceptible to damage from the explosion. To protect the life of people and to minimize the damage to the structure, it has become imperative to consider the effect of blast loads too, in addition to newlinethe conventional loads, considered as per the prevailing codes, during the analysis and design of all public buildings. The charge weights of the explosive used on the structure are 8kg, 16 kg and 24kg. The equivalent blast pressure subjected on the structure is determined, to study its corresponding effects for stand-off distances of 3000 mm and 6000mm using surface blast load. The behavior of the structure is newlinestudied by varying the parameters and verified which of these parameters can newlinebe critical to the performance of the structure. The response of the ground floor + 3 upper storied reinforced concrete skeletal structure is studied for understanding the variation of the displacements, strains and stresses for the parameters considered. Using PTC CREO 3.0 the 3D modeling of structure and structural elements were generated. HYPERMESH was used for the discretization (meshing) of structure and its elements. Static analysis and blast load analysis was carried out using ANSYS.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/426714" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/426714&lt;/a&gt;</text>
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Yoke Chess Board is chess board with 8 12 squares of alternative colors of white (light) and black (dark) labelled A to L on bottom side and 1 to 8 on left side. This board is used to play chess for four players comprising of two teams. That is, each team will have two members. The members are designated as main attacker and supporter.</text>
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There are various diseases that can benefit from targeted drug delivery. Many of these diseases occur in areas like stomach and the intestine. These diseases are hard to cure as there is no way to apply medications directly to the affected area. Some of them are Ulcerative colitis, Irritable bowel syndrome, Pancreatitis, Colon cancer, Chrons disease.</text>
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Data compression becomes a vital and pivotal role in the process of computing as it helps in space reduction ocuupied by a file as well as to reduce the time taken to access the file. The present invention relates to a system for compressing and decompressing a UTF-8 encoded stream of data pertaining to Lempel-Viz-welch (LZW) and method of operation thereof.</text>
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