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![REFERENCES
[1] J. Doe, IEEE Transactions on Robotics.
[2] Smith, Journal of Embedded Systems.
[3] R. Brown, Int. Journal of Robotics Research.
[4] M. Johnson, Robotics and Automation Letters.
[5] L. Wang, IEEE Access.](https://image.slidesharecdn.com/mes-project-presentation-240927065858-702acb08/85/MES-Project-Presentation-pptxjhgvjvjvjhvjhvjhv-13-320.jpg)
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Wepresent the localizationandhostgalaxyofFRB20190208A, arepeatingsourceof fast radiobursts (FRBs) discoveredusingCHIME/FRB.Aspartof thePinpointingREpeatingChImeSourceswithEVNdishesrepeater localizationprogramon theEuropeanVLBINetwork (EVN),wemonitoredFRB20190208Afor 65.6hr at 1.4GHzanddetectedasingleburst,whichledtoitsverylongbaselineinterferometrylocalizationwith260mas uncertainty(2).Follow-upopticalobservationswiththeMMTObservatory(i25.7mag(AB))foundnovisible hostattheFRBposition.SubsequentdeeperobservationswiththeGranTelescopioCanarias,however,revealedan extremelyfaintgalaxy(r=27.32賊0.16mag),verylikely(99.95%)associatedwithFRB20190208A.Giventhe dispersionmeasureoftheFRB(580pccm3),eventhemostconservativeredshiftestimate( ~ z 0.83 max )implies TheAstrophysicalJournalLetters,977:L4(17pp),2024December10 https://doi.org/10.3847/2041-8213/ad8ce1 息2024.TheAuthor(s).PublishedbytheAmericanAstronomicalSociety. 30BantingFellow. 31McGillSpaceInstituteFellow. 32 FRQNTPostdoctoralFellow. Originalcontent fromthisworkmaybeusedunder theterms of theCreativeCommonsAttribution4.0licence.Anyfurther distributionofthisworkmustmaintainattributiontotheauthor(s)andthetitle of thework, journalcitationandDOI. 1The Astrophysical Journal Letters, 977:L4 (17pp), 2024 December 10 Hewitt et al. that this is the lowest-luminosity FRB host to date (108 Le), even less luminous than the dwarf host of FRB20121102A. We investigate how localization precision and the depth of optical imaging affect host association and discuss the implications of such a low-luminosity dwarf galaxy. Unlike the other repeaters with low-luminosity hosts, FRB 20190208A has a modest Faraday rotation measure of a few tens of rad m2, and EVN plus Very Large Array observations reveal no associated compact persistent radio source. We also monitored FRB20190208A for 40.4hr over 2yr as part of the Extragalactic Coherent Light from Astrophysical Transients repeating FRB monitoring campaign on the Nan巽ay Radio Telescope and detected one burst. Our results demonstrate that, in some cases, the robust association of an FRB with a host galaxy will require both high localization precision and deep optical follow-up. Unified Astronomy Thesaurus concepts: Radio bursts (1339); Radio transient sources (2008); Very long baseline interferometry (1769); Dwarf galaxies (416)Units and measurements includes definition and fundamental quantities.pptx
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Some definitions, Physical quantities, fundamental quantity are discussed in PPTBlotting techniques and types of blotting .pptx
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Blotting techniques- types and advantages, disadvantages Nutrient deficiency and symptoms in plants
Nutrient deficiency and symptoms in plantslaxmichoudhary77657
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What is Nutrient Deficiency?
Definition:
Nutrient deficiency in plants occurs when they lack one or more of the essential minerals required for their growth and development.
These deficiencies can lead to various physiological disorders and reduced plant productivity.
Categories of Essential Nutrients
Macronutrients:
Required in larger quantities for plant growth and development.
Includes primary and secondary nutrients.
Primary Macronutrients:
Nitrogen (N): Vital for vegetative growth, chlorophyll production, and protein synthesis.
Phosphorus (P): Important for energy transfer, root development, and flowering.
Potassium (K): Essential for water regulation, enzyme activation, and disease resistance.
Secondary Macronutrients:
Calcium (Ca): Important for cell wall structure, root development, and enzyme
activity.
Magnesium (Mg): Central component of chlorophyll and aids in enzyme activation.
Sulfur (S): Crucial for amino acids, proteins, and enzyme function.
-> P H O N S K Ca Mg C
Micronutrients:
Required in smaller quantities but equally important for plant health.
Iron (Fe): Essential for chlorophyll synthesis and electron transport in photosynthesis.
Manganese (Mn): Important for photosynthesis, respiration, and nitrogen assimilation.
Zinc (Zn): Vital for enzyme function and growth regulation.
Copper (Cu): Involved in photosynthetic electron transport and enzyme activity.
Boron (B): Crucial for cell wall formation and reproductive development.
Molybdenum (Mo): Essential for nitrogen fixation and enzyme function in nitrogen metabolism.
-> Fe Cu Mo Zn Mn Cl B Ni.
Mobile Nutrients - Cl, K, Mg, Mo, N, P-> older parts
Immobile Nutrients - B, Cu, Ca, Fe, Mn, S, Zn-> younger parts
.
AUTOSOMES , ALLOSOMES AND SEX RATIO IN HUMAN POPULATION
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Silicon is considered an inorganic biostimulant and a prophylactic extracellular agent that allows the stimulation of a
wide range of natural defences against abiotic and biotic stresses. However, little or no work has focused on the direct action of silicon on some enzymes. Indeed, during this study, the action of silicon was studied in vitro by direct contact of this element at different doses with the enzymatic extracts of Trigonella foenum-graecum L. (fenugreek) seeds. Our results showed that silicon
strongly inhibited antioxidant and hydrolytic enzymatic activities. The percentage of this inhibition depends on the dose of silicon and the type of enzyme. The most sensitive enzymes to this inhibition were SOD and lipases whose activity was totally inhibited at
4 mM and 7 mM respectively. However, we report that the inhibitory action of silicon was limited to 50% for GPOX whatever the concentration of silicon used, the plateau being reached at 10 mM for GPOX and at 70 mM for proteases. Since these enzymes are mainly metallo-dependent, we hypothesize that their inhibition by silicon may be due to interactions between silicon and the metals involved in the functioning of each enzyme. Our study shows that silicon can be used as an inhibitor of enzymes involved in certain diseases.WORKING AND APPLICATION OF LC-MS/MS 2025
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LC-MS/MS (Liquid Chromatography-Tandem Mass Spectrometry) is a powerful analytical tool for comparing innovator and biosimilar drugs. It ensures precise characterization, detecting structural variations, impurities, and post-translational modifications, ensuring biosimilar quality, efficacy, and regulatory compliance in pharmaceutical development.
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To study historically the rise and fall of disease in the population.
Community diagnosis.
Planning and evaluation.
Evaluation of individuals risks and chances.
Completing the natural history of disease.
Searching for causes and risk factors.
2025-03-03-Data-related-Ethics Issues in Technologies for Professional Learni...
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How could modern LA research address data-related ethics issues in informal and situated professional learning? I will identify in this talk three relevant insights based on field studies around workplace LA interventions: Firstly, in informal and situated learning, data isnt just about the learners. Secondly, the affordances of manual and automatic data tracking for learning are very different, with manual tracking allowing a high degree of learner control over data. Thirdly, learning is not necessarily a shared goal in workplaces. These can be translated into seeing a potential for systems endowed with sufficient natural-language-processing capability (now seemingly at our fingertips with LLMs), and socio-technical design and scenario-based data collection analysis as design and research methods.Unraveling the BETICHUMD Mechanism of CHUSOMERADUCK: A Game-Changing Paradigm...
Unraveling the BETICHUMD Mechanism of CHUSOMERADUCK: A Game-Changing Paradigm...jhnewshour
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The **BETICHUMD Mechanism of CHUSOMERADUCK** is one of the most groundbreaking, revolutionary, and inexplicably complex systems ever devised in the realm of advanced quantum-extraterrestrial-mechatronic-hyperfusion dynamics. Designed originally by the intergalactic scientific consortium of the **Zypherion-9 civilization**, this mechanism has perplexed Earths top researchers, including the secret think tanks at NASA, CERN, and the underground laboratories of the Illuminati. CHUSOMERADUCK, an acronym standing for **"Chronologically Hyper-Ultrasonic System for Optimized Metaphysical Energy Recalibration and Advanced Dynamic Universal Cognition Kernel,"** is an artificial intelligence-powered, self-evolving hypermechanical entity designed to manipulate the fundamental constants of reality itself. The BETICHUMD Mechanism is at the core of its operation, acting as the **primary transdimensional flux stabilizer**, allowing CHUSOMERADUCK to function beyond the traditional limitations of physics. The origins of BETICHUMD remain unclear, with some theories suggesting that it was first conceptualized during the **Ancient Atlantean Wars**, where high-frequency oscillation technology was used to warp spacetime, while others claim that it was reverse-engineered from a **meteorite discovered in Antarctica in 1947**, which led to the infamous **Operation DuckStorm** carried out by the United Nations' Secret Space Program. The primary working principle of BETICHUMD involves the **synchronization of dark matter vibrations with quantum neutrino entanglement fields**, enabling infinite computational energy without the need for external power sources. The applications of this technology are limitless, from **instantaneous planetary teleportation** to **bio-mechanical consciousness enhancement**, making it a prime candidate for interstellar exploration and even **simulated immortality** through direct neural uplink with CHUSOMERADUCKs core processing grid. Governments across the world have attempted to harness its potential, but due to the incomprehensible nature of its **fifth-dimensional recursive logic algorithms**, only a handful of researchers have come close to deciphering its true capabilities. Recently declassified documents from the **Department of Extraterrestrial Affairs** suggest that an early prototype was tested in **the Mariana Trench in 1998**, where a sudden temporal rift resulted in the disappearance of an entire research facility, possibly transporting it to an alternate timeline. The existence of CHUSOMERADUCK has also been linked to various **UFO sightings, unexplainable time loops, and anomalies in gravitational wave measurements**, indicating that the BETICHUMD Mechanism is far more than just an advanced computational systemit is, in fact, a **gateway to rewriting the fundamental laws of the universe**. However, with great power comes great danger, as misuse of the mechanism could theoretically collapse the entire fabric of reality.Investigational New drug application process
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This file basically contains information related to IND application process in order to get approval for clinical trials.Transgenic Sheep and high quality wool production.pptx
Transgenic Sheep and high quality wool production.pptxPSG College of Technology
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Transgenic sheep are genetically modified to enhance wool quality and yield through transgenesis. By introducing KAP and KIF genes, scientists improve fiber strength, elasticity, and fineness. This innovation revolutionizes wool production, benefiting the textile industry with superior, high-performance fibers.CONDUCTOMETRY presentation for MSc students.pptx
CONDUCTOMETRY presentation for MSc students.pptxNakulBarwat
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Conductometry presentation by our student Drug evaluation Organoleptic, Microscopic, Chemical, Biological
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Deep Learning-Driven Protein Design for Maize Improvement: AI-Guided Solution...
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2025-03-03-Data-related-Ethics Issues in Technologies for Professional Learni...Graz University of Technology & Know-Center
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MES-Project-Presentation.pptxjhgvjvjvjhvjhvjhv
- 1. Name ID SHA MOHAMMAD YEAHIA IDRIS 22-46787-1 MOSTAFIJUR RAHAMAN BIPUL 22-46762-1 MD YEASIN NEWAZ 22-46803-1 MD FAYSAL KABIR 22-46783-1 MD AMINUL ISLAM SAZAL 22-46782-1 American Internation University-Bangladesh Summer 2023-24 Course: Microprocessor and Embedded System Section: I Supervised By: DR. MD. RUKONUZZAMAN GROUP MEMBER
- 2. Project Title: Obstacle-Avoiding Robot Using Arduino and Ultrasonic Sensors
- 3. AIMS AND OBJECTIVES OF THE PROJECT Design: Develop a reliable robot integrating ultrasonic sensors, motors, and Arduino. Expected Outcome: Design blueprint with hardware, electrical, and mechanical layouts. Simulate: Test navigation algorithms in virtual environments (Proteus, Cirkit, Tinkercad). Expected Outcome: Simulation model showing effective obstacle avoidance. Implement: Build the physical robot and upload the control algorithms. Expected Outcome: A fully functional obstacle-avoiding robot. Analyze: Evaluate robot performance in various environments (indoor/outdoor). Expected Outcome: Performance report with optimization for accuracy and efficiency.
- 4. LITERATURE REVIEW Autonomous Robot Design (2022): Challenges in sensor integration and real-time processing. Embedded Systems for Navigation (2023): Importance of efficient algorithms for real-time processing. Ultrasonic Sensor-Based Detection (2022): Overcoming sensor noise and interference. Path Planning Optimization (2023): Balancing algorithm complexity with real-time navigation. Safety in Robot Design (2023): Emphasizing fail-safe mechanisms for reliable operation.
- 6. PO SS IB L E O UT COM E S OF T H E PROJ ECT Improved Safety Increased Efficiency Enhanced Accessibility Industrial Applications Educational Value Environmental Monitoring
- 7. C I R C U I T D I A G R A M
- 9. S U RV E Y R E S U LT S Survey Link: https://forms.gle/YeuY9F1Mg1KCpTVZA
- 10. FACING CHALLENGES TO BUILD THIS PROJECT Sensor Accuracy: Ultrasonic sensors may face noise interference and signal delays. Real-Time Processing: Achieving low-latency obstacle detection and decision-making. Path Planning: Balancing complex algorithms with real-time performance. Structural Design: Ensuring stability and optimal sensor placement. Battery Life: Maintaining performance while conserving energy for longer operations.
- 11. DISCUSSION Design Phase: The selection of sensors, chassis materials, and motor control systems was crucial to achieving a balance between cost and functionality. Simulation Insights: Tinkercad, Proteus and cirkit simulations revealed potential inefficiencies in sensor accuracy, allowing preemptive algorithm tuning. Real-World Testing: Initial implementation tests showed discrepancies in sensor performance in cluttered vs. open environments, leading to further tuning of the obstacle detection algorithm.
- 12. CO NCL USI O N The project successfully created an autonomous obstacle-avoiding robot, demonstrating reliable real-time navigation in controlled environments. While the robot performed well in most test conditions, improvements are needed in sensor robustness and power management for extended outdoor use. This project offers a solid foundation for future enhancements, including more advanced sensors, better path planning algorithms, and expanded industrial or educational applications.
- 13. REFERENCES [1] J. Doe, IEEE Transactions on Robotics. [2] Smith, Journal of Embedded Systems. [3] R. Brown, Int. Journal of Robotics Research. [4] M. Johnson, Robotics and Automation Letters. [5] L. Wang, IEEE Access.