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Examining The Impact Of Wine Influencers’ Characteristics On Consumer Attitudes, Purchase Intention, And Actual Wine Purchase, Senthilkumaran Piramanayagam, Jyothi Mallya, Vageesh Neelavar Kelkar

Open Access archive

Wine influencers have emerged as one of the crucial elements in shaping consumer perceptions and behaviours. However, the specific characteristics of these influencers that effectively influence consumer attitudes, purchase intentions, and actual buying decisions remain inadequately understood. Therefore, using the Elaboration Likelihood Model, this study examines the impact of wine influencers’ characteristics on consumers’ attitudes, purchase intentions, and actual buying behaviour. A survey of 404 social media users was conducted using a structured questionnaire. The structural equation modelling analysis found that perceived credibility impacts attitudes toward influencers but not recommended brands. However, perceived expertise and trust strongly predict attitudes toward …

Influence Of Annealing Temperature On The Structural And Luminescence Features And Thermoluminescence Trap Parameters Of Ca2al2sio7: Ce3+ Phosphors, A. Vidya Saraswathi, Karunakara Naregundi, M. I. Sayyed, Nouf Almousa

Open Access archive

Cerium-doped Ca2Al2SiO7 phosphors were synthesized via the combustion technique and annealed at 1073 K, 1173 K, and 1373 K. X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), photoluminescence (PL), and thermoluminescence (TL) studies were performed to explore the variation of structural, morphological, luminescence, and TL properties with annealing temperature. The XRD plot showed an increase in crystallinity with an increase in annealing temperature. Similarly, the enhancement of PL intensity with an increase in annealing temperature supports the increased crystallinity of the phosphor samples. Detailed analysis of traps and trap parameters was carried out using the principle of …

Intelligent Plant Leaf Disease Detection Using Generative Adversarial Networks: A Case-Study Of Cassava Leaves, Gururaj Harinahalli Lokesh, Soundarya Bidare Chandregowda, Janhavi Vishwanath, Vinayakumar Ravi

Open Access archive

Background: Cassava leaf disease detection is a major problem since it is very difficult to identify the disease in naked-eye observation and even experts such as agricultural scientists can fail in this task. The approach we use in this paper has the potential to overcome this problem. Materials and Methods: In this, we propose an approach based on artificial intelligence for leaf disease detection using deep learning with generative adversarial networks (GAN). Our experimental study used a dataset including 12880 cassava leaf pictures generated using CycleGAN showing five major disease classes. In order to avoid overfitting, a GAN architecture is …

Simulation Study And Reliability Analysis Of Low Actuation Voltage Cantilever Based Rf Mems Switch, Shivashankar A. Huddar, B. G. Sheeparmatti, A. Y. Patil, Nalini C. Iyer

Open Access archive

This paper reemphasizes the importance of material consideration to design a low pull-in voltage MEMS switch. We have simulated different variants of a cantilever-based MEMS switch with variations in length, thickness, and material of the cantilever beam. The simulation study provides an understanding of a suitable cantilever design to achieve low operating voltage MEMS switch. We have further simulated the mechanical properties of these designs of the cantilever beam for a low operating voltage by computing the equivalent electrostatic force which is the input to the mechanical simulations performed using ANSYS. The electromechanical simulation provided similar trends of deflection and …

Open Defecation Among Adults Having Household Toilets And Factors Associated With It: An Analytical Cross-Sectional Study From Rural Bihar, India, Arutperumjothi Muthukumaran, Alok Ranjan, Sanjay Pandey, Pragya Kumar

Open Access archive

Background: Bihar is one of the focus states under Swachh Bharat Mission (SBM) in India. A study was conducted to estimate the prevalence and to determine the factors associated with the practice of open defecation among adults having household toilets, in rural Patna, Bihar. Methods: An analytical cluster cross-sectional study was conducted for a duration of one year among 609 participants using cluster sampling in rural block of Patna. The prevalence was calculated with 95 % confidence interval and binary logistic regression analysis was done to determine factors associated with open defecation. Results: Out of 609, 391(64.2 %, 95 % …

Analysis Of The Magnetohydrodynamic Effects On Non-Newtonian Fluid Flow In An Inclined Non-Uniform Channel Under Long-Wavelength, Low-Reynolds Number Conditions, Manjunatha Gudekote, Rajashekhar Choudhari, Prathiksha Sanil, Hanumesh Vaidya

Open Access archive

This study utilises mathematical modelling and computations to analyse the magnetohydrodynamic (MHD) effects on non-Newtonian Eyring-Powell fluid flow in an inclined non-uniform channel under long-wavelength, low Reynolds number conditions. The governing equations are solved by applying slip boundary conditions to determine the velocity, temperature, concentration, and streamline profiles. The key findings show that the magnetic parameter dampens the flow rate. The relationship between the variable viscosity, velocity, and temperature is nonlinear. The wall rigidity parameter and axial velocity are directly proportional until a threshold. Increasing inclination angles distorts streamlines. The magnetic field alters concentration contours and thermal transport. MATLAB parametric …

Optimized Ensemble Methods For Classifying Imbalanced Water Quality Index Data, Zaharaddeen Karami Lawal, Ali Aldrees, Hayati Yassin, Salisu Dan'azumi

Open Access archive

River water pollution has increased due to human activities. Initially, numerical and analytical methods were used to classify river water quality, but machine learning now enables faster and more accurate water quality index (WQI) classification. This study aimed to develop an effective ensemble model for classifying river water as drinkable or polluted using advanced machine learning. The objective was to apply a classification method to predict WQI using Kinta River data in Malaysia and improve on existing models' 70-95% accuracy range. The dataset of this study comprises 301 records collected from eight monitoring stations along the Kinta River, encompassing 31 …

Effect Of Treadmill Exercise On The Liver, Kidney Health, And Serum Il-10 Levels In High-Fat Diet-Induced Obese Male Wistar Rats, Samreen M. Sheik, H. Madhukar Mallya, Deepak Nayak Manel, Karkala Sreedhara Ranganath Pai

Open Access archive

This study investigated the impact of treadmill exercise on liver and kidney health in obese rats induced by a high-fat diet (HFD), alongside serum IL-10 levels. Rats were divided into normal control, HFD, HFD with atorvastatin, and HFD with exercise groups. Obesity was induced over 11 months via the HFD, while the exercise group underwent treadmill training three times per week for 90 days. Parameters measured included body weight, lipid profile, liver and kidney function tests, rat interleukine-10, and histopathology of the liver and kidney. Significant increases in body weight, lipid profile, and liver and kidney function tests, alongside decreased …

Osseointegrative And Antimicrobial Properties Of Graphene Oxide Nano Coated Dental Implants: A Systematic Review, Sounyala Rayannavar, Sunil Kumar Mv, Vignesh Kamath, Mahantesh Bembalgi

Open Access archive

Introduction: Osseointegration stands as a pivotal concept within the realm of dental implants, signifying the intricate process through which a dental implant integrates with the adjoining bone tissue. Graphene oxide (GO) has been shown to promote osseointegration, the process by which the implant fuses with the surrounding bone. The objective of this study was to assess the osseointegrative and antimicrobial properties of GO nano coated dental implants. Methods: A systematic search was conducted using electronic databases (e.g., PubMed, Scopus, Web of Science) to identify relevant studies published. Inclusion criteria encompassed studies that evaluated the effects of GO nano coating on …

Mobile Health (Mhealth) Interventions For Health Promotion During The Perinatal Period In India: A Scoping Review, Zara Small, Sophie Elizabeth Thompson, Ankita Sharma, Sreya Majumdar

Open Access archive

Introduction: Perinatal and maternal mortality rates remain high in India compared to global levels, and there is significant heterogeneity in outcomes across Indian states. Many mobile health (mHealth) interventions have been developed to improve maternal and infant health outcomes in India, however it is unclear how mHealth can best support women in this culturally and resource diverse setting. Therefore, we aimed to identify mHealth interventions targeting women and their families in the perinatal period in India, identify barriers and facilitators to their uptake, and future research directions. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and Joanna Briggs …

Health And Fitness Trends In The Post-Covid-19 Era In The United Arab Emirates: A Cross-Sectional Study, Alexios Batrakoulis, Željko Banićević, Ivana Banićević, Ashokan Arumugam

Open Access archive

The health and fitness (H&F) sector is rapidly evolving and appears to be a vibrant space for industry stakeholders with a great potential globally. This observational study aimed to identify the most popular trends related to H&F services in the United Arab Emirates (UAE) for the first time, focused on the industry status after the coronavirus (COVID-19) pandemic, and aimed to detect potential differences with the recent results observed in other countries or regions. Additionally, a chi-square analysis was applied to determine the significant differences between trends and demographics, such as sex, age, experience, and work status. A national online …

Perceptual Pigeon Galvanized Optimization Of Multi-Objective Cnn On The Identification And Classification Of Mango Leaves Disease, Preeya V. Amirtha, S. Pravinth Raja, B. K. Dhanalakshmi, H. L. Gururaj

Open Access archive

Aims: The aim of this study is to develop a strong Multi-objective Convolutional Neural Network (MOCNN) optimized using Perceptual Pigeon Galvanized Optimization (PPGO) for accurate identification and classification of mango leaf diseases. This approach aims to increase classification accuracy, computational efficiency, and generalization ability. The ultimate goal is to improve disease management in mango crops through advanced image-based diagnostic techniques. Background: Demands for the consumption of mango (Mangifera indica) fruit and its leaves were growing exponentially in all parts of the world due to its large health benefits for various organs in the human body. However, these plants were largely …

Detection Of Epilepsy Disorder Using Spectrogram Images Generated From Brain Eeg Signals, Venkatesh Bhandage, Tejeswar Pokuri, Devansh Desai, Andrew Jeyabose

Open Access archive

Epilepsy (EP) is a persistent neurological condition of chronic brain disorder characterized by repeated seizures and causes psychological issues such as anxiety and depression. There is a need to detect the presence of epilepsy at an earlier stage with the help of technological intervention. Early detection of epilepsy can help medical practitioners treat patients effectively and in a better way. Electroencephalography (EEG) signals are more suitable for monitoring brain activity and detecting brain disorders. In this paper, we propose a deep learning based approach for the early detection of epilepsy via EEG Spectrogram images. The proposed approach is 3-fold. First, …

Can Periodontitis Affect The Covid-19 Severity, Symptoms, Hospital Stay, And Mortality? A Case–Control Study, Shravya Macherla, Aditi Chopra, Venkitachalam Ramanarayanan, Rajat Subra Das

Open Access archive

Background/purpose: Poor oral hygiene and periodontal disease have been identified as potential risk factors for the coronavirus disease 2019 (COVID-19). The present study aimed to determine the association between periodontitis and COVID-19 severity, nature of symptoms, mortality, and hospital stay. Methods: In total, 163 COVID-19-positive patients (men: 93; women: 70) were categorized into two groups: the control group, consisting of 120 patients with asymptomatic or mild symptoms, and the case group, consisting of 43 patients with moderate-to-severe symptoms. The severity of periodontal disease, oral hygiene status (OHI), pocket depth (PD), bleeding on probing (BOP), number of decayed/missing/filled teeth, mortality, duration …

Assessing The Effectiveness Of Moscow Prioritization In Software Development: A Holistic Analysis Across Methodologies, Suchetha Vijayakumar, Prasad K. Krishna, Holla M. Raviraja

Open Access archive

Effective software Requirement Prioritization plays a pivotal role in the success of the Software Development process, ultimately contributing to the successful delivery of high-quality products. Among the various methods for Requirement Prioritization, the MoSCoW method has gained widespread adoption due to its ease of use. However, its overall effectiveness remains a subject of inquiry. This paper presents a rigorous assessment of the MoSCoW Requirement Prioritization technique, drawing insights from software developers who engage in the Prioritization process. Our evaluation encompasses a distinct perspective: that of the developers tasked with Prioritization. The feedback solicited from developers encapsulates a diverse set of …

Lb-Sam: Local Beam Search With Simulated Annealing For Community Detection In Large-Scale Social Networks, Keshab Nath, Rupam Kumar Sharma, S. K. Mahmudul Hassan

Open Access archive

With the rapid development of internet technologies and the increasing availability of large-scale data, the detection of community structures within complex networks has become a critical area of research. This paper introduces a novel community detection technique called LB-SAM (Local Beam Search with Simulated Annealing and Modularity), designed to efficiently uncover hidden community structures in large-scale social networks. LB-SAM integrates Local Beam Search (LBS) to explore the local network structure and Simulated Annealing (SA) to globally optimize modularity, enabling the detection of communities with intricate boundaries and strong internal connections. By focusing on influential nodes to form subgroups and recursively …

Overview Of Multimorbidity Research In India: A Scoping Review Protocol, Parul Puri, Siaa Girotra, Arpita Ghosh

Open Access archive

Background: Due to demographic and epidemiological shifts, people are living until older ages with more morbidities. These morbidities often have shared pathophysiology, which leads to a rise in coexisting health issues known as 'multimorbidity'. Primary care studies and disease burden surveys have multiplied, unveiling varied aspects of multimorbidity, yet with inconsistent definitions and methods. This protocol aims to guide an in-depth and comprehensive exploration of multimorbidity research in India through a scoping review, to understand the extent, range, and nature of research on multimorbidity in India. Methods: This study will comprehensively search the PubMed/Medline, Cochrane, and Embase databases employing a …

Efficacy Of Lycium Barbarum (Goji Berry) Mouthwash For Managing Periodontitis: A Randomized Clinical Trial, Amee Sanghavi, Laasya Shettigar, Aditi Chopra, Ashmeet Shah

Open Access archive

Background: Removal of the microbial deposits (plaque and calculus) by performing effective scaling and root planing (SRP) is the fundamental step for managing periodontal disease (gingivitis and periodontitis). Various adjuncts in the form of mouthwash, gels, and toothpaste are also being used as adjuncts to SRP for managing periodontitis. Recently, Lycium barbarum (L. barbarum), commonly known as goji berry or wolfberry, has gained popularity for managing chronic inflammatory and infectious diseases. However, its efficacy in managing periodontitis has never been explored. Hence the present study aims to evaluate the efficacy of goji berry mouthwash compared to chlorhexidine mouthwash for managing …

Justice-Centered Best Practices For Accessibility To Public Buildings In A Tier Ii City: Insights From A Delphi Expert Consensus, Sidhiprada Mohapatra, G. Arun Maiya, Ullas U Nayak, Rashmi Sheelvant

Open Access archive

Background: Despite beneficial progress in policies, awareness and advocacy, accessibility gaps exist in public buildings in India. Challenges achieving full inclusivity still exist, due to a lack of clear guidance for implementing accessible solutions. Retrofitting older buildings, particularly in developing tier II cities is a major challenge. The authors of this paper aimed to address this issue using a four-round Delphi method to generate a Justice-Centered Best Practices (JCBPs) for accessibility provisions for individuals with mobility disabilities. Methods: Conducted in Udupi, the study involved experts including administrators, policy implementers, auditors, advocates, healthcare professionals, individuals with disabilities and their caregivers. In …

Development Of Levofloxacin Glycosylated Mesoporous Silica Nanoparticles For Urinary Tract Infections, Songhita Mukhopadhyay, Reema Narayan, Shivaprasad Gadag, Padmaja A. Shenoy

Open Access archive

Nanoparticle drug delivery for infectious disease has paved the way for effective treatment; mesoporous silica nanoparticles (MSNs) with versatile design options, tunable pore size, high surface area, and adequate pore volume have garnered widespread interest. The current study deals with the synthesis of MSNs loaded with levofloxacin (LVF), followed by glycosylation to enhance the uptake by bacterial cells. The MSNs were prepared by modifying Stober’s process. The amino-modified MSNs were glycosylated using D-Glucuronic acid by EDAC-NHS coupling chemistry. The LVF -loaded glycosylated MSNs (GLY-MSN) were characterized for various parameters and in vitro antimicrobial efficacy study. The surface functionalized MSNs had …

Harnessing Waste Bottles For Sustainable Housing Solutions: From The Perspective Of Developing An Innovative And Affordable Approach, Kavyashree, Bhagyashree

Open Access archive

The rapid accumulation of plastic garbage, especially from abandoned bottles, presents a serious environmental threat on a global scale. Developing creative and long-lasting solutions is necessary to address this problem, especially in the fields of construction and architecture. With an emphasis on cost, scalability, and sustainability, this article investigates several innovative methods for employing used bottles as feasible building materials for housing solutions. This paper provides a comprehensive review of benefits of recycling discarded bottles for the environment, such as lessening the burden on landfills and the need for building materials with large carbon footprints. The next part of the …

Wine Consumer Studies: Current Status And Future Agendas, Vageesh Neelavar Kelkar, Jyothi Mallya, Valsaraj Payini, Vasanth Kamath

Open Access archive

Background: As wine has become more than just a drink, exploring wine consumer studies provides a better understanding of various factors that shape the wine industry. Therefore, this paper aims to review and map the landscape of wine consumer literature using bibliometric analysis and systematic review. It identifies the key areas, clusters, antecedents, mediators, moderators, and outcomes to propose the framework for future research directions. Methods: This study adopts an integrative review approach: a bibliometric and systematic review. The data for this study were retrieved from the Scopus database. While the bibliometric analyses are conducted using VoSviewer software, a systematic …

Transformers And Attention: Decoding And Understanding Of Aspect-Based Opinions In User-Generated Contents, Satarupa Biswas, G. Poornalatha

Open Access archive

Aspect-based opinion mining has become a significant information extraction technique based on natural language processing, driven by the growing volume of online user-generated content. This approach aims to determine the opinion polarity of specific aspects within a given context. The existing models primarily target explicit aspects, often neglecting the identification of implicitly mentioned aspect-based opinion polarity. Consequently, these existing models result in low classification accuracy and struggle to identify multiple aspects within a specific context. This paper proposes an aspect-based attention model (AAM) to address these limitations. We integrate a pre-trained BERT model with an attention mechanism to perform aspect …

Pass: A Scoring System To Evaluate Persistent Kidney Injury In Critically Ill Icu Adult Patients, Dattatray Prabhu, Sonali Dattatray Prabhu, Chakrapani Mahabala, Mayoor V. Prabhu

Open Access archive

Background: We evaluated if the course of recovery from sepsis-induced acute kidney injury (AKI) can be predicted using variables collected at admission. Methods: A total of 63 patients admitted for sepsis-induced AKI in our Mangalore ICU were evaluated and baseline demographic and clinical/laboratory parameters, including serum creatinine (SCr), base excess (BE), Plethysmographic Variability Index (PVI), Caval Index, R wave variability index (RVI), mean arterial pressure (MAP) and renal resistivity index (RI) using renal doppler and need for inotropes were assessed on admission. Patients were managed as per standard protocol. After six hours of fluid resuscitation, patients were classified as volume …

Exploring Teacher’S Use Of Low Cost And No- Cost Resources To Enhance English Language Reading Skills In An Early Childhood Education Setting In One Government Primary School In Yumbe District Uganda: An Action Research., Rebecca Gobbi Konyio

Master of Education

This dissertation explores the utilization of low-cost and no-cost resources to enhance English language reading skills in an early childhood education (ECE) setting in a government primary school in Yumbe District, Uganda. The study addresses the challenges posed by limited resources in teaching reading and investigates how teachers can effectively incorporate affordable resources to improve reading proficiency among young learners. The research employs an action research approach, utilizing interviews, observations, and document analysis as data collection methods. This study adopted Susman& Evered (1978) action research process which highlights the research process in the field from the reconnaissance that helped to …

15. Pixie (Novel - Ebook) By Matthew Lipman, Matthew Lipman

Early Elementary School Curriculum

Pixie is an elementary school student perplexed and delighted by many aspects of her experience. This novel emphasizes relationships (logical, social, familial, aesthetic, causal, part-whole, mathematical, etc.) as well as competence in dealing with such relationships. Ethical concepts include sibling-rivalry, personhood, respect for others, friendship, secrets, promise-keeping, parent-child relationships, obedience, teasing, and autonomy. Readers will find the pages of Pixie strewn with philosophical ideas and puzzles that lead to lively classroom deliberation. The text includes some blank pages for young readers to try their hand at book illustration.

Data From: Phylogenomic Species Delimitation Of Studfishes (Fundulidae: Fundulus): Evidence For Cryptic Species In Agreement With The Central Highlands Vicariance Hypothesis, Kayla M. Fast, Peter J. Hundt, Zachariah D. Alley, Michael W. Sandel

CFR Publications

The Central Highlands ecoregion of the eastern United States represents a hotspot of freshwater biodiversity, with replicated patterns of vicariant speciation east and west of the Mississippi River. Previous phylogeographic investigation of the studfishes (Fundulus subgenus Fundulus) revealed evidence for vicariant speciation in the Central Highlands, but data were limited to a small number of gene sequences generated with Sanger sequencing. We used double digest restriction-site associated DNA sequencing (ddRADseq) to improve resolution of phylogeographic patterns and better characterize population genetic variation. Our sample design included individuals from the Fundulus catenatus species group (F. catenatus, F. bifax, …

An Evaluation Of The Implementation Of Gender Responsive Pedagogy In Science Education: A Comparative Study Of Teacher Training Institutions In Uganda, Sara Agnes

Master of Education

This study focused on evaluating the implementation of gender-responsive pedagogy (GRP) in science education within teacher training institutions in Uganda and its significance in promoting equity and inclusion. The study objectives included examining the understanding of the concept gender responsive pedagogy, assessing its level of implementation, and measuring the impacts on students learning outcomes and engagement. Comparative case study was employed within mixed methods to engage science tutors and teacher trainees in two teacher training colleges within Arua city in Uganda. Survey questionnaires were administered to science tutors to gather information on their understanding of GRP and implementation strategies. Lessons …

129, Scott Brande

All 3D Rock Models

Model 129 - granite - igneous rock

SketchFab link: https://sketchfab.com/3d-models/129-01de2e735f8e482c99f1a95417b7ad33

152, Scott Brande

All 3D Rock Models

Model 152 - pumice - igneous rock

SketchFab link: https://sketchfab.com/3d-models/152-47906f0c520349d99e885d362eba0947