Balamurugan Varadarajan

"If applied ethically, AI can aid PhD aspirants in maintaining research integrity" - Nishchay Shah, CTO Cactus Communications In the recently published interview with INDIAai, Nishchay shares how tools like R Discovery and Paperpal are revolutionizing the research landscape while maintaining ethical standards. Discover how AI boosts productivity, ensures research integrity, and provides invaluable support to PhD aspirants. Don’t miss Nishchay’s insights and practical tips on leveraging AI in your research. Learn about the groundbreaking ways AI helps at every stage, from literature reviews to manuscript writing and data visualization. Read the full interview here: https://ow.ly/LpIZ50SEiY7 #AIinResearch #ResearchIntegrity #PhDAspirants #CactusCommunications #AcademicPublishing #InnovationInResearch

41

Koniku Bridging the Gap Between #Biology and #Technology with #Biocompatible #AI Authors: Manoj Joshi and Tejas Sankhla (Scholar Indian Institute of Information Technology Lucknow) #TheBIGQuestion: As Koniku carves its path in the emerging field of #biohacking and #neurotechnology, what #strategic #decisions or pivots do you believe will be crucial for its success? How can Koniku address challenges like #ethical sourcing, #biocompatibility, #scalability, and #market adoption to thrive in a competitive and evolving landscape? Osh, the visionary founder and #CEO of Koniku, is a Nigerian-born scientist with a passion for merging biology with technology. After his studies, Agabi established Koniku in California, aiming to create a new generation of "smell cyborgs" – bio-integrated devices capable of detecting and analysing volatile organic compounds (VOCs) in the air. Koniku's technology leverages a unique approach: combining traditional silicon chips with living biological neurons. This fusion of biology and technology has garnered significant interest, with Koniku being featured in Forbes and receiving funding from prominent investors like Platform Capital LLC. Koniku's biocompatible AI solutions target various applications, including: #Disease Diagnosis and Health Monitoring: Early detection of illnesses through real-time VOC analysis. #Environmental Monitoring: Detecting harmful toxins and pollutants in air and water. #Industrial Applications: Optimizing processes and ensuring safety in industrial settings. #VUCA Challenges: #Volatility: Keeping pace with advancements in bioengineering and ensuring responsible integration of AI with living systems. #Uncertainty: Navigating the evolving regulatory landscape for biohacking technologies. #Complexity: Overcoming technical hurdles in miniaturization, scalability, and ensuring long-term biocompatibility of devices. #Ambiguity: Addressing ethical concerns surrounding animal-brain computer interfaces (BCIs) and potential misuse of Koniku's technology. #Lessons:  #Prioritizing Ethical Sourcing: Ensuring responsible acquisition and use of biological components in its devices. #Demonstrating Biocompatibility: Rigorously testing and ensuring the long-term safety of its technology for humans and animals. #Focus on Scalability: Developing strategies to manufacture and distribute Koniku's devices at a commercially viable scale. #Building Trust and Transparency: Addressing ethical concerns proactively and fostering open communication with stakeholders. By tackling these challenges and emphasizing responsible innovation, Koniku has the potential to revolutionize various fields and bridge the gap between biology and technology through its biocompatible AI solutions. Singapore Management University Katyayni Joshi Dr. Arun Mohan Sherry Indian Institute of Technology, Madras Indian Institute of Technology, Bombay Indian Institute of Technology (Banaras Hindu University), Varanasi CIE IIIT Hyderabad

26

2 Comments

CO2 Sequestration 1. To what extent, the concept of ‘impelling force’ introduced by Hubberts would be able to provide a useful means of visualizing the net forces acting on CO2? 2.  If the impelling force represents the negative of the gradient in CO2/brine potential, will it still remain to be a vector quantity that would precisely define the direction in which CO2 would tend to migrate, considering capillary effects? Suresh Kumar Govindarajan https://lnkd.in/d_miY7ZU 21-Nov-2024

3

Improving Early Detection and Classification of Lung Diseases with Innovative MobileNetV2 Framework Publisher: IEEE Open Access Amrita Tripathi; Tripty Singh; Rekha R Nair; Prakash Duraisamy Abstract: Any condition that damage or impedes the normal operation of the lungs is classified as a lung disease, and failure to identify and address it early on can potentially lead to false outcomes. To address this challenge, two innovative techniques are proposed for lung disease classification, supporting medical professionals to diagnose and provide preventive measures at an early stage. The Proposed Model 1 integrates a custom MobileNetV2L2 architecture, that builds upon the MobileNetV2 framework through fine-tuning and customization. This model incorporates a ridge or L2 regularizer within its dense layer to enhance its performance. The Proposed Model 2, custom CNN2 built on CNN as its foundational block, is fine-tuned with ELU as the activation function, replacing ReLU, and incorporates the ridge or L2 regularization technique. The proposed research utilizes two publicly available datasets: DS1(Data Set1), which is the Lung Disease 5-class dataset, and DS2(Data Set2), which is the Lung Disease 4-class dataset and are collected from Kaggle. The results from the Proposed Model 1 provide better performance than state-of-the-art techniques like EfficientNet B0, InceptionV3, ResNet, and InceptionResNetV2. It achieved a training accuracy of 99.53%, validation accuracy of 100%, and test accuracy of 95.51%. The proposed Model 2 provides outstanding performance, with a training accuracy of 96.79%, validation accuracy of 91.56%, and testing accuracy reaching 99.26% The proposed research serves as a valuable tool for Pulmonologists, providing a secondary opinion in the diagnostic process. Published in: IEEE Access ( Early Access ) Page(s): 1 - 1 Date of Publication: 08 August 2024  Electronic ISSN: 2169-3536

4

Our paper "FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging" got accepted in #MICCAI2024 (27th INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION 6-10 October 2024 • MARRAKESH / MOROCCO) (core rank A)(https://lnkd.in/gf55hhAk). Authors: Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, and Samrat Mondal Heartiest congratulations to all authors! Abstract: Despite recent advancements in federated learning (FL) for medical image diagnosis, addressing data heterogeneity among clients remains a significant challenge for practical implementation. A primary hurdle in FL arises from the non-IID nature of data samples across clients, which typically results in a decline in the performance of the aggregated global model. In this study, we introduce FedMRL, a novel federated multi-agent deep reinforcement learning framework designed to address data heterogeneity. FedMRL incorporates a novel loss function to facilitate fairness among clients, preventing bias in the final global model. Additionally, it employs a multi-agent reinforcement learning (MARL) approach to calculate the proximal term for the personalized local objective function, ensuring convergence to the global optimum. Furthermore, FedMRL integrates an adaptive weight adjustment method using a Self-organizing map on the server side to counteract distribution shifts among clients' local data distributions. We assess our approach using two publicly available real-world medical datasets, and the results demonstrate that FedMRL significantly outperforms state-of-the-art techniques, showing its efficacy in addressing data heterogeneity in federated learning.

280

9 Comments

Organize your Literature and Level up your research game with ResearchPal. ► Write your research question, and let-AI pull relevant papers, creating a comprehensive review in minutes. ► Unlock extended reviews with up to 10 papers for deeper insights with pro plan. ► Paste your review, and papers are auto-saved in the references section. ► Extract abstracts directly from the editor with a click. Find the link from the comment section to explore more. _____________________________________________________________ Want hands-on training about AI Tools in Academic Writing at your institute? Contact: [email protected] Whatsapp: 0923006815461 Also feel free to reach out if looking for any support in research writing Follow for More Dr Rizwana Mustafa Find useful? Pass it on! 🔄 𝐑𝐞𝐩𝐨𝐬𝐭 #researchpal #aitools #researchwriting

55

8 Comments

Vitamin-D and Indians - a Data problem. Goyal et.al ( Goel, S. (2020). Vitamin d status in indian subjects: a retrospective analysis. International Journal of Research in Orthopaedics, 6(3), 603. https://lnkd.in/gTnv5A-d) showed that 94% of Indian subjets had Vitamin D levels below 30ng/Ml and 79% are deficient (below 20 ng/ML) Sekvarajan et. al., (Selvarajan, S., Gunaseelan, V., Anandabaskar, N., Xavier, A., Srinivasamurthy, S., Kamalanathan, S., … & Sahoo, J. (2017). Systematic review on vitamin d level in apparently healthy indian population and analysis of its associated factors. Indian Journal of Endocrinology and Metabolism, 21(5), 765. https://lnkd.in/gW4u3wpG) show that in south India over 90% are low to deficient Vitamin D. There are many more Indian studies on this subject. We know all the conditions that are caused by Vitamin D deficiency. Almost every Indian should be walking around with a fracture, be depressed, have cognitive impairment, etc). We know this is not true. When one publishes papers with the word deficiency (based on a Western population measurement), and it does not correlate to the observed pathophysiology, would one not investigate and create an Indian standard? Is there one? Do we have the data? Instead of trying to feed everybody vitamin D to bring them to standards that are not correct, should we get the right standards? What am I thinking wrong here?

93

16 Comments

ℋℴ𝓌 𝓉ℴ 𝓈𝓉𝒶𝓇𝓉 𝓇ℯ𝓈ℯ𝒶𝒸𝒽 𝒶𝓈 𝒶 𝓃ℯ𝓌𝒷𝒾ℯ!!! 𝒻𝒾𝓇𝓈𝓉 𝓉𝒽𝒾𝓃ℊ𝓈 𝓉ℴ 𝓀𝓃ℴ𝓌. Lately, I have been receiving a lot of messages from aspiring researchers asking how to get started in the world of research. I thought, why not create a series to guide you through the basics? So, here we go! Research might seem daunting at first, but it’s all about curiosity and systematic inquiry. Let’s break it down! 👉Research Question Your guiding star! This is the main question you want to answer. Think of it as the plot of your favorite mystery novel. 👉Hypothesis Your educated guess. What do you think will happen? It's like predicting the ending of that novel before you reach the last page. 👉Literature Review Reading up on what’s already been discovered. It’s like checking if your mystery novel idea hasn’t been written by someone else already. 👉Methodology Your game plan. How will you go about finding the answers? Think of it as the strategy for solving your mystery. 👉Data Collection Gathering evidence. This could be through surveys, experiments, or observations. It’s like gathering clues throughout the story. 👉Analysis Making sense of your data. This is where you piece together the clues to solve the mystery. 👉Conclusion What did you find out? This is where you reveal the solution to your mystery. 👉References Give credit where it’s due. Just like acknowledging the brilliant detective who inspired your story! I hope this makes the world of research a bit less intimidating and a lot more exciting. Stay tuned for more posts in this series, where we’ll dive deeper into each of these steps. Remember, every great researcher started as a beginner! Feel free to drop your questions in the comments. Let's unravel the mysteries of research together! 𝘋𝘳 𝘚𝘶𝘮𝘢𝘺𝘺𝘢 𝘪𝘴 𝘢 𝘗𝘶𝘣𝘭𝘪𝘤 𝘏𝘦𝘢𝘭𝘵𝘩 𝘦𝘥𝘶𝘤𝘢𝘵𝘰𝘳, 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳 𝘢𝘯𝘥 𝘮𝘦𝘥𝘪𝘤𝘢𝘭 𝘸𝘳𝘪𝘵𝘦𝘳 𝘪𝘧 𝘺𝘰𝘶 𝘢𝘳𝘦 𝘭𝘰𝘰𝘬𝘪𝘯𝘨 𝘧𝘰𝘳 𝘢𝘯 𝘦𝘹𝘱𝘦𝘳𝘵 𝘵𝘰 𝘣𝘳𝘪𝘯𝘨 𝘤𝘭𝘢𝘳𝘪𝘵𝘺 𝘵𝘰 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘩𝘦𝘢𝘭𝘵𝘩 𝘵𝘰𝘱𝘪𝘤𝘴, 𝘪𝘮𝘱𝘳𝘰𝘷𝘦 𝘺𝘰𝘶𝘳 𝘰𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯'𝘴 𝘩𝘦𝘢𝘭𝘵𝘩 𝘱𝘳𝘰𝘨𝘳𝘢𝘮𝘴, 𝘰𝘳 𝘤𝘰𝘯𝘥𝘶𝘤𝘵 𝘪𝘮𝘱𝘢𝘤𝘵𝘧𝘶𝘭 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩. 𝘓𝘦𝘵𝘴 𝘤𝘰𝘯𝘦𝘤𝘵!!! 𝘐 𝘢𝘮 𝘢𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 𝘧𝘰𝘳 𝘤𝘰𝘯𝘴𝘶𝘭𝘵𝘢𝘵𝘪𝘰𝘯𝘴 𝘢𝘯𝘥, 𝘤𝘰𝘭𝘭𝘢𝘣𝘰𝘳𝘢𝘵𝘪𝘰𝘯𝘴. 𝘙𝘦𝘢𝘤𝘩 𝘰𝘶𝘵, 𝘢𝘯𝘥 𝘭𝘦𝘵𝘴 𝘮𝘢𝘬𝘦 𝘩𝘦𝘢𝘭𝘵𝘩𝘺 𝘭𝘪𝘷𝘪𝘯𝘨 𝘤𝘰𝘯𝘵𝘢𝘨𝘪𝘰𝘶𝘴! #LinkedInGrowthChallenge #HealthEducation #PublicHealth #StayHealthy #LearnAndGrow#20daylinkedinchallengewithhaoma# Howtomakeresearch# beginner#Thoughtleader#Healtheducation

67

44 Comments

Enhanced Oil Recovery: Wettability 1.  Given the fact that the wetting process operates on a scale that extends from the macroscopic to the molecular-scale, while our observations usually involve only macroscopic quantities measured at resolutions no better than several micro-meters, is there a way, to validate the measured data on macroscopic contact angle? Whether such measured macroscopic contact angle would remain to be the same as that of the nanoscopic local contact angles? Whether the microscopic contact angle, deduced usually at a scale of nano-meters from the contact line – would remain to depend on the moving speed as well? Can we deduce the interface profile for film thicknesses less than 100 nm – under “dynamic” fluid conditions – by using Environmental-SEM or wet-Scanning Transmission Electron Microscopy or by using TEM?    2.  How easy would it remain to have a control over capturing the contact line movement mechanism - associated with molecular jumping or interfacial rolling - at the junction of oil-brine-gas-phase interfaces - for a mixed/intermediate/fractional wet reservoir? 3.  If (2) remains to be feasible @ laboratory-scale, then, how about capturing the regulation of the hydrodynamic singularity including slip, diffusion and disjoining pressure? Suresh Kumar Govindarajan https://lnkd.in/d_miY7ZU 22-Nov-2024

1

Three Swayam MOOC Courses Foundations of R Software (In Hindi and English languages with the same contents): https://lnkd.in/gn3-gVTA (English) https://lnkd.in/gmswCUUQ (Hindi) Duration: 12 Weeks - 30 Hours 22 July- 11 October, 2024 Descriptive Statistics With R Software (In English Language) https://lnkd.in/gw8TEWzN Duration: 8 Weeks - 20 Hours 19 August - 11 October, 2024 #Rsoftware #statistics #dataanalytics

225

5 Comments

📚 Facing Publication Rejection? Here Are 10 Ways to Avoid It 📚 Rejection can be tough, but understanding why it happens and how to prevent it can increase your chances of success. 1. Match Journal Scope: Ensure your research aligns with the journal’s focus and recent publications. 2. Follow Guidelines: Adhere to all submission rules, including formatting, structure, and word count. 3. Solid Literature Review: Contextualize your study within current research, highlighting gaps it addresses. 4. Ensure Methodological Soundness: Clearly outline and justify your research design and methods. 5. Write Clearly: Use concise language and effective visuals to enhance understanding. 6. Meet Ethical Standards: Follow all ethical protocols, from consent to conflict of interest. 7. Thorough Editing: Review multiple times and use professional editing tools or services. 8. Seek Peer Feedback: Get feedback from colleagues to identify areas for improvement. 9. Craft a Strong Abstract: Make your abstract clear, compelling, and reflective of your main findings. 10. Respond to Feedback: Use rejection as a guide for revisions and resubmission. Rejections are stepping stones to improvement. Stay persistent and keep refining your work! 🚀 #AcademicPublishing #ResearchSuccess #PhDLife #ResearchTips #ManuscriptPreparation #AcademicWriting Www.AristocratResearch.com https://lnkd.in/gRUdJw7S Call:+919894595035

2

Published... We are happy to share that Ashwini Kannan published a paper titled "Protein Structure Prediction with High Degrees of Freedom in a Gate-Based Quantum ComputerClick to copy article link" in Journal of chemical theory and computation (JCTC). In this work a quantum algorithm for protein structure prediction based on a novel turn-based encoding scheme that leverages quantum computing to efficiently explore the conformational space of proteins, particularly focusing on the hydrophobic collapse nucleation step, and achieves promising results on proteins of varying lengths using up to 114 qubits on IBM hardware. checkout the paper below: https://lnkd.in/gDQExRbC

25

1 Comment

Science and Technology in Health I just came across this lecture by Prof. G. Padmanabhan (Recipient of "Vigyan Ratna 2024" and Former Director of IISc Bangalore). Although he gave this lecture about 8 years ago it is still relevant today. Although, we have made some progress that does not scale up for the country of our size. One of the major drawbacks I see is that there is no cross-talk between researchers who practice science and technology (although there are outliers). The output of the "research activity" is mainly measured by publications (of course by impact factors and the number of papers) other activities of research such as technology development, industrial collaboration, creation of IP, startups, etc are sidelined. Because of these reasons, we are not able to compete with many small countries in the area of Biotech/Pharma. Creating the Anusandhan National Research Foundation (ANRF) is a brilliant move by the present government. That being said, the success of ANRF depends on all the stakeholders (researchers, policy change at the institute level industry participation, etc). #research #ANRF #technology #translational science #biotech #health #startup #pharma #DST #DBT https://lnkd.in/dJpzFW75

7

https://lnkd.in/d6KW6jQN An atom-level understanding of the evolution of the physical and chemical properties of transition-metal dichalcogenide (TMD) nanoflakes is a key step to improve our knowledge of two-dimensional (2D) TMD materials, which can help in the designing of new 2D materials. Here, we report a density functional theory (DFT) study of the evolution of the structural, energetic, and electronic properties of (MoQ2)n nanoflakes, where Q = S, Se, and Te and n = 1–16. All optimized DFT configurations for each system (10n) were generated by an in-house implementation of the tree-growth scheme combined with the modified Euclidean similarity distance algorithm, which reduces a large set configurations (10n million) to 10n trial structures. 

10

2 Comments

🎉 Thrilled to share our latest publication in Machine Learning and Knowledge Extraction (Impact Factor: 3.9) titled "EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion"! 🎉 🔗 Paper: https://lnkd.in/dsec2FRG 👩‍💻 Code: https://lnkd.in/dtwgNjx5 In our study, we analyzed think-aloud protocols where radiologists not only viewed the images but also verbalized their observations. We also developed EyeXNet, a deep-learning framework that integrates radiologists' fixation masks with chest X-ray images for improved abnormality detection. Our study shows: 🎯 Exploration Dominance Initially: At the onset of image examination, radiologists predominantly engage in exploratory gaze patterns, scanning broadly to gather visual information. 🎯 Targeted Gazes When Reporting: Once they begin to articulate their findings, their gazes become more focused, honing in on specific areas of interest likely indicative of abnormalities. 🎯 To harness these insights, we filtered out the gaze data from silent moments, focusing solely on the periods when radiologists reported their observations. 🎯 Enhanced Prediction Accuracy: Demonstrated that using fixation maps during radiologist reporting moments leads to higher precision and recall in detecting abnormalities compared to baseline models. This paper is the result of André Luís's master thesis, which was further developed by Chihcheng Hsieh with the support of José Neves, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Joaquim Jorge, and myself. Congratulations on this fantastic achievement! #MachineLearning #DeepLearning #MedicalImaging #EyeTracking #AIResearch #HealthcareInnovation

81

5 Comments

protein purification

1

🔬The Department of Biotechnology at IIT Madras is organizing the 2nd edition of the Annual Workshop series on: 1) Förster Resonance Energy Transfer (FRET) 2) Fluorescence Lifetime Imaging Microscopy (FLIM) 3) Fluorescence Correlation Spectroscopy (FCS) 4) Fluorescence Recovery After Photobleaching (FRAP) The F4 Advanced Bioimaging Workshop started in 2023 in collaboration with Dr. Ammasi Periasamy, University of Virginia, a world-renowned expert in FRET and FLIM, along with several academic experts and industrial partners. The success of the 1st F4 Workshop encouraged the organizers to continue this endeavour as an annual workshop series to introduce these #advanced #techniques to #students and #researchers and enable them to acquire and analyze microscopy data through hands-on training. 🟡Objectives: • Hands-on instructions on wide-field & confocal microscopy • Best imaging practices and analysis solutions • Individual problem solving, discussion and trouble-shooting • Free access to training toolkit, reference guides, & image analysis software Abstract, registration, sponsorship:👇🏻 https://lnkd.in/gjmfEkyU 🟣Organizers: Shantanu Pradhan Dept. of Biotechnology, IIT Madras; Ammasi Periasamy Keck Center for Cellular Imaging, University of Virginia; Amal Kanti Bera Dept. of Biotechnology, IIT Madras; Ganesh Kadasoor Senior Application Scientist, Evident Scientific India; Sebastian Raja Application Scientist, Leica Microsystems. 🌟Speakers & Trainers: • Dr. Ammasi Periasamy ,Director and Founder, Keck Center for Cellular Imaging, University of Virginia, USA • Dr. Amal Kanti Bera, Dept. of Biotechnology, IIT Madras • Dr. Ganesh Kadasoor, Senior Application Scientist, Evident Scientific India • Dr. Sebastian Raja, Application Scientist, Leica Microsystems • Dr. Yuansheng (Sheng) Sun, PhD, Director of Microscopy & Spectroscopy, ISS Inc., USA • Dr. Margarida Barroso, Professor, Molecular & Cellular Physiology, Albany Medical College, USA • Dr. Krishanu Ray, Associate Professor, Institute of Human Virology, University of Maryland, USA • Dr. Steven vogel, Senior Investigator, NIAAA, National Institute of Health, USA • Dr. Wolfgang Becker, President, Becker & Hickl GmbH, Germany • Dr. Klaus Suhling , Professor, Dept. of Physics, King's College London, UK • Dr. Michael Börsch,Head - Microscopy Methodology Research Group, University Hospital Jena, Germany • Dr. Sudipta Maiti,Professor and Chair, Dept. of Chemical Sciences, TIFR Mumbai, India • Dr. Dibyendu Sasmal, Associate Professor, Dept. of Chemistry, IIT Jodhpur • Dr. Richa Karmakar, PhD, Assistant Professor, Dept. of Biotechnology IIT Madras 📨 [email protected] #india #chennai #iitm #dbt #dst #biotech #instem #ncbs #ccamp #ccmb #iit #iisc #iiser #mit #harvard #fret #flim #fcs #frap #nit #jncasr #jnu #vit #iiitm #embl #bioimaging #biotechnology #biophysics #microscopy #biophotonics Microscopy Aspirants #fluorescence #bleaching

50

#Publicationalert I am elated to share that our group at IIT Indore has recently published a research article entitled "Magnetically Tunable Ag/CH3NH3PbBr3 Single Crystal/Ni Heterostructure for Self-Powered Photodetector" in #ACSAppliedElectronicMaterials. In this work we have synthesized large crystals of CH3NH3PbBr3 which is sandwiched between Ag and Ni film to provide a Ag/CH3NH3PbBr3 SC/Ni Heterostructure architecture for light sensing application. The ferromagnetic nature of Ni allow us to tune the photocurrent under the influence of external MF. This work provides a practicable strategy to tune photocurrent by an external MF and further pave the way toward multifunctional optoelectronic devices. I sincerely acknowledge Prof. Rupesh Devan, Dr. Onkar Game, and Dr. Parvez A. Shaikh for their valuable guidance, all the authors (Dr. Vishesh Manjunath, Dr. Sameena Mulani, and Aayushi Miglani) and members of NRG for their inputs and hard work. Please find the full article. https://lnkd.in/dFfDdmd7

31

1 Comment