DFC Tracking Cow Creek GCD
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The document summarizes the desired future conditions adopted by Groundwater Management Area 9 for major and minor aquifers in the region. It states that the Trinity Aquifer will allow for an average drawdown increase of approximately 30 feet by 2060 throughout GMA 9. For the Edwards-Trinity Plateau Aquifer, no net increase in average drawdown is allowed in Bandera and Kendall Counties by 2070. The Ellenburger-San Saba and Hickory Aquifers will see increases of no more than 2 and 7 feet respectively in average drawdown in Kendall County by 2070.
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Pigs are adjusted to varied rearing practices and consume different types of food (Omnivorous) to attain higher growth and meat production.
Pigs will attain 60-70kg body weight in 6-8months period.
Female pigs i.e., sows will come to heat at age of 8-9 months but avoid using male pigs (Boars) for breeding purpose until it attains one year of age.
Adult sows when bred during right time after attaining maturity will farrow 8-12 piglets in 112-118 days of gestation period (i.e., about 4 months of gestation). Feedefficiencyis to gain one Kg live weightfor every 2.75-3kg feed consumed (FCR: 1:2.75). There are many advantageous in pig rearing. Pork is available at a cheaper price with nutritious and highly palatable tasty meat of higher quality animal protein. Pig bones are used for producing bone meal and also used for purification of sugar in sugar industry.
The manure droppings and urine are good fertilizers which enhance the soil fertilityand improve grain production.
Pig hairs (Bristles) are used for making brushes and ropes, hooves are used for shirt button making and preparation of gum. Hence, pigs are called as multi utility domestic animals. Farmers can take up piggery farming and reduce their debt burden and improve their profits and livelihood.
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
.
Melaku Tafese Awyulachew's_Official letters between organizations and researc...
Melaku Tafese Awyulachew's_Official letters between organizations and researc...Melaku Tafese Awulachew
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Official letters between organizations and researchersClimate Information for Society: Attribution and Engineering
Climate Information for Society: Attribution and EngineeringZachary Labe
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28-30 January 2025
OAR GFDL 5-Year Science Review (Presenter): Q3 How can GFDL research and modeling be further utilized to meet NOAA stakeholder needs and enhance research partnerships to ensure GFDLs success?, NOAA GFDL, NJ.
References...
Schreck III, C.M., D.R. Easterling, J.J. Barsugli, D.A. Coates, A. Hoell, N.C. Johnson, K.E. Kunkel, Z.M. Labe, J. Uehling, R.S. Vose, and X. Zhang (2024). A rapid response process for evaluating causes of extreme temperature events in the United States: the 2023 Texas/Louisiana heatwave as a prototype. Environmental Research: Climate, DOI:10.1088/2752-5295/ad8028
Zhang, Y., B.M. Ayyub, J.F. Fung, and Z.M. Labe (2024). Incorporating extreme event attribution into climate change adaptation for civil infrastructure: Methods, benefits, and research needs. Resilient Cities and Structures, DOI:10.1016/j.rcns.2024.03.002
Eischeid, J.K., M.P. Hoerling, X.-W. Quan, A. Kumar, J. Barsugli, Z.M. Labe, K.E. Kunkel, C.J. Schreck III, D.R. Easterling, T. Zhang, J. Uehling, and X. Zhang (2023). Why has the summertime central U.S. warming hole not disappeared? Journal of Climate, DOI:10.1175/JCLI-D-22-0716.1
ARepeatingFastRadioBurstSourceinaLow-luminosityDwarfGalaxy
ARepeatingFastRadioBurstSourceinaLow-luminosityDwarfGalaxyS辿rgio Sacani
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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)Electrical Quantities and Circuits | IGCSE Physics
Electrical Quantities and Circuits | IGCSE PhysicsBlessing Ndazie
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This extensive slide deck provides a detailed exploration of electrical quantities and circuits for IGCSE Physics. It covers key electrical quantities, including charge, current, voltage (potential difference), resistance, power, energy, electromotive force (EMF), and internal resistance. The presentation also explains series and parallel circuits, with in-depth discussions on Ohms Law, Kirchhoffs Laws, electrical components, circuit calculations, and practical applications. Packed with illustrative diagrams, worked examples, and exam-style questions, this resource is ideal for IGCSE students, teachers, and independent learners preparing for exams.Unjustly Incriminating Bacteria: the Role of Bacteriophages in Bacterial Infe...
Unjustly Incriminating Bacteria: the Role of Bacteriophages in Bacterial Infe...christianagboeze2427
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SUMMARY
Based on human relationship with bacteria, virulence is one of the most important case to us. Some forms of virulence thought to arise only from the actions of bacteria are not actually caused by them but are indirectly influenced by another counterpart in the microbial mix of the ecosystem called bacteriophage; viruses that only infect prokaryotes such as bacteria but not eukaryotes. Bacteriophages preferably attack bacteria due to the lack of specific receptors for phages on eukaryotic cells which are found in bacteria e.g. peptide sequences and polysaccharide moieties in gram positive and gram negative bacteria, bacterial capsules, slime layers, flagella etc. They recognize and bind to bacteria using appropriate receptors, subsequently proceeding to inject their genome called prophage into their host. This review focuses on the most probable outcomes of phage-host interactions via the lytic and lysogenic cycles which are therapeutic effect and pathogenicity/resistance to antibiotics respectively. By lysogenic conversion or transfer of acquired genetic materials via transduction, phages can confer unusual traits such as virulence and antibiotics resistance. Important pathogenic bacteria that cause persistent and critical infections which have their pathogenicity engineered by phages include Pseudomonas aeruginosa, Salmonella enterica, Escherichia coli, Vibrio cholerae, Staphylococcus spp., and Clostridium spp.
The prophages influence their virulence in a variety of ways which include: contribution to the production of phage-encoded toxins, modification of the bacterial envelope, mediation of bacterial infectivity, and control of bacterial cell regulation. The unwavering threat of antimicrobial resistance in global health, extreme difficulty involved in developing novel antibiotics, and the rate at which microorganisms develop resistance to newly introduced antimicrobials have sparked urgency and interest in research for effective methods to eradicate pathogenic bacteria and limit antibiotic resistance. As a result, interest in phage therapy has been reignited because of the high efficiency in detecting and killing pathogenic bacteria by phages.
SILICON IS AN INHIBITOR OF CERTAIN ENZYMES IN VITRO
SILICON IS AN INHIBITOR OF CERTAIN ENZYMES IN VITROLilya BOUCELHA
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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.TOP 10 CBSE Top Science Projects for Classes 6 to 10 with Youtube Tutorial
TOP 10 CBSE Top Science Projects for Classes 6 to 10 with Youtube TutorialVivek Bhakta
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Top 10 CBSE Science Projects for Classes 6 to 10 | Easy DIY Models with YouTube Tutorial
Looking for the best CBSE science projects for Classes 6 to 10? Heres a collection of Top 10 working models that are perfect for science exhibitions, school projects, and STEM learning. These projects cover essential science concepts from physics, chemistry, and biology, making them both fun and educational.
Each project includes a step-by-step YouTube tutorial, so students can easily follow along and build their own models.
Top 10 CBSE Science Projects for Classes 6 to 10:
1鏝 Hydraulic Bridge Model Demonstrate the principles of hydraulics and Pascals Law.
2鏝 Electric Motor Model Understand how electromagnetism powers motors.
3鏝 Solar-Powered Car Explore renewable energy and motion mechanics.
4鏝 Wind Turbine Generator Convert wind energy into electrical power.
5鏝 Automatic Street Light System Learn about LDR sensors and energy efficiency.
6鏝 Water Dispenser Model Show the role of air pressure in fluid movement.
7鏝 Earthquake Alarm System Build a vibration-based alert system for disaster safety.
8鏝 Biogas Plant Model Explain how organic waste is converted into energy.
9鏝 Rainwater Harvesting Model Demonstrate sustainable water conservation techniques.
Smart Irrigation System Create an automated plant watering system using sensors.
Why Choose These Projects?
Simple & Fun Uses easily available materials.
Educational & Practical Covers key CBSE science topics.
YouTube Video Guide Step-by-step tutorials for easy learning.
Watch the full YouTube tutorial and start building your project today! Deep Learning-Driven Protein Design for Maize Improvement: AI-Guided Solution...
Deep Learning-Driven Protein Design for Maize Improvement: AI-Guided Solution...Muhammad Salman Iqbal
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Bridging AI, Synthetic Biology, and Crop Science to Address Global Food Security.
This presentation explores the transformative potential of AI-driven protein design in revolutionizing maize (corn) breeding. Learn how deep learning models like AlphaFold, ESMFold, and RFdiffusion enable rapid engineering of stress-resilient proteins for:
Disease resistance (e.g., fungal pathogens like Fusarium and Puccinia)
Drought and heat tolerance (synthetic transcription factors for root and stomatal optimization)
Nutrient efficiency (engineered phosphate/nitrogen transporters)
Enhanced photosynthesis (AI-designed carbonic anhydrases)
Key highlights:
Case studies from Cell, Science, and Nature Biotechnology (20232024) showcasing AI-designed proteins validated in field trials.
Ethical considerations and future directions for AI-guided CRISPR integration in crop improvement.
Visual summaries of protein structures, field data, and AI workflows.
Target audience: Plant scientists, agronomists, bioinformaticians, AI researchers, and students in biotechnology and agriculture.
Hashtags:
#DeepLearning #ProteinDesign #MaizeImprovement #AIinAgriculture #SustainableFarming #CropBreeding #SyntheticBiology #FoodSecurity #AlphaFold #CRISPROverview of basic statistical mechanics of NNs
Overview of basic statistical mechanics of NNsCharles Martin
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Overview of topics in the paper
A walk in the statistical mechanical formulation of neural networks (2014)
https://arxiv.org/abs/1407.5300
Audio: https://youtu.be/zIxg69Q8UTkAnimal husbandry: Purpose, scope and management,dairy animals, breeds and eco...
Animal husbandry: Purpose, scope and management,dairy animals, breeds and eco...tibhathakur77
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Discription about animal husbandry.Variation and Natural Selection | IGCSE Biology
Variation and Natural Selection | IGCSE BiologyBlessing Ndazie
油
This extensive slide deck provides a detailed exploration of variation and natural selection for IGCSE Biology. It covers key concepts such as genetic and environmental variation, types of variation (continuous and discontinuous), mutation, evolution, and the principles of natural selection. The presentation also explains Darwins theory of evolution, adaptation, survival of the fittest, selective breeding, antibiotic resistance in bacteria, and speciation. With illustrative diagrams, real-life examples, and exam-style questions, this resource is ideal for IGCSE students, teachers, and independent learners preparing for exams.Melaku Tafese Awyulachew's_Official letters between organizations and researc...
Melaku Tafese Awyulachew's_Official letters between organizations and researc...Melaku Tafese Awulachew
油
Unjustly Incriminating Bacteria: the Role of Bacteriophages in Bacterial Infe...
Unjustly Incriminating Bacteria: the Role of Bacteriophages in Bacterial Infe...christianagboeze2427
油
Deep Learning-Driven Protein Design for Maize Improvement: AI-Guided Solution...
Deep Learning-Driven Protein Design for Maize Improvement: AI-Guided Solution...Muhammad Salman Iqbal
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DFC Tracking Cow Creek GCD
- 1. DFC Tracking Cow Creek Groundwater Conservation District Micah Voulgaris
- 2. GMA-9 Adopted Desired Future Conditions (Major and Minor Aquifers) Trinity Allow For An Increase in Average Drawdown of Approximately 30 Feet Through 2060 (throughout GMA-9) Consistent With Scenario 6 in TWDB GAM Task 10-005 Edwards-Trinity (Plateau) Allow For No Net Increase in Average Drawdown in Bandera and Kendall Counties through 2070 Ellenburger-San Saba Allow For An Increase in Average Drawdown of No More Than 2 Feet in Kendall County through 2070 Hickory Allow For An Increase in Average Drawdown of No More Than 7 Feet in Kendall County through 2070
- 3. Trinty DFC Trinity Allow For An Increase in Average Drawdown of Approximately 30 Feet Through 2060 (throughout GMA-9) Consistent With Scenario 6 in TWDB GAM Task 10-005
- 4. Source: TWDB
- 6. 1170.00 1180.00 1190.00 1200.00 1210.00 1220.00 January Feburary March April May June July August September October November December Avg. Monthly Level Avg. Levels for 2008 Avg. Levels for 2009 Avg. Levels for 2010 Avg. Levels for 2011 Avg. Levels for 2012 Avg. Levels for 2013 Avg. Levels for 2014 Avg. Levels for 2015 Avg. Levels for 2016 Avg. Levels for 2017
- 7. 14.74 32.65 42.06 16.98 29.74 29.04 25.62 49.80 40.77 0.00 1170.00 1175.00 1180.00 1185.00 1190.00 1195.00 1200.00 1205.00 1210.00 1215.00 0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 100.00 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Yearly Levels 2008-2017 Yearly Rainfall Yearly Averages Linear (Yearly Averages) Linear (Yearly Averages)
- 8. Pumping vs. Permitted Trinity MAG of about 11,000 AF Current permitted non-exempt use of about 4,880 AF On average, pumping is only about 36% of the permitted use or about 1750 AF
- 9. Source: TWDB