How does the body make electricity and hoe does it use it?
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The body makes electricity through our body electrolytes and our nervous system. The slides walk you through basic information on the how our body makes electricity and how it uses it.
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Biopotentials are ionic voltages produced by electrochemical activity in cells. Certain cells like nerve and muscle cells are encased in a semi-permeable membrane that allows some substances to pass through while keeping others out. These membranes maintain a resting potential of -60 to -100 mV by allowing potassium and chloride ions into the cell while blocking sodium ions. When the membrane allows sodium ions to pass through, the cell's potential becomes slightly positive in what is called an action potential, changing the cell from its resting state. Transducers are used to convert these ionic potentials into electrical signals that can be measured and analyzed.
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Equivariant neural networks and representation theory
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
bordetella pertussis.................................ppt
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2019 PATTERN.
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
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2.Back Titration
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Instrumental Techniques-Photometry
Potentiometry
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Complex titration with EDTA.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
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Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless ReproducibilityUniversity of Rennes, INSA Rennes, Inria/IRISA, CNRS
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
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本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
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留信网认证的作用:
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
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Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
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Recently uploaded (20)
Equivariant neural networks and representation theory
Equivariant neural networks and representation theory
bordetella pertussis.................................ppt
bordetella pertussis.................................ppt
Compexometric titration/Chelatorphy titration/chelating titration
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The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
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Deep Software Variability and Frictionless Reproducibility
Deep Software Variability and Frictionless Reproducibility
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8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
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Describing and Interpreting an Immersive Learning Case with the Immersion Cub...
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt
How does the body make electricity and hoe does it use it?
- 1. HOW DOES THE BODY MAKE ELECTRICITY AND HOW DOES IT USE IT? By Mahmood Hassan Dalhat Department of Biochemistry Faculty of Science King Abdulaziz University Jeddah
- 2. INTRODUCTION • Everything we do is controlled and enabled by electrical signals running through our bodies. • Without electricity we won’t be able to read this slides • Basically atoms are made up of protons (positively charge), neutrons (neutral) and electrons (negatively charge). • When atoms are out of balance, it becomes either positively or negatively charge depending on the flow of electron(s). • The flow of electrons is what is referred to as electricity.
- 3. How does the body makes electricity • Unlike wires, which involve electron flow along the wire, our bodies instead involve electrical charge jump from one cell to another until it reaches its destination. • Electric signals are fast, they allow instantaneous response to stimuli. • If our bodies only relied entirely on stimuli or messages via chemicals we probably would have died long time ago. Because we wouldn’t have rapid response to environmental messages like reflex action, seeing this slides and comprehending what I am saying right now. • Electrical impulse flows via a complex network of nerve communication referred to as Nervous System.
- 5. NEURON
- 6. Fig1: Distribution of ions in neurons Fig2: Equilibrium potential of K+
- 7. Mammalian Ion Concentration and Equilibrium Potential Ions Inside (mM) Outside (mM) Equilibrium Potential (mV) Na 18 145 +56 K 140 3 -102 Cl 7 120 -76 Ca 0.1 1.2 +125
- 8. NERNST EQUATION • The equilibrium potential of ions that flows in and out of the neuron(s) can be calculated using Nernst Equation Eion= RT/zF In {[ion]o/ [ion]i} Eion= ion Equilibrium Potential T= Temperature (in Kelvin) R= Gas constant (8.315 J/K mol-1) F= Faraday (96,485 Coulomb) Z= Valence of ion {[ion]o/ [ion]i}= concentration of ions
- 9. How does the body use electricity • Electricity is the key to survival, It allows instantaneous response to control messages. • Some organs that are actively involved in electrical signals are • Brain • Eyes • Muscle • Heart
- 10. HEART RHYTHM •The crucial part of the heart that signals speed up or slow down in heartbeat is referred to as Sinoatrial node (SA node). •It controls the rhythm of our heartbeat and it uses electrical signals to set the pace.
- 11. Fig 3: Electrical communication between the heart and the brain
- 12. Effect of electric shock on Heart function • Since everything relies on electrical signals, any breakdown in the body’s electrical system will be a catastrophic problem. • When we get electric shock, it interrupt the normal electric flow in our body which might implicate in fried electrical system. • There is dramatic problem when subjected to electrical shock for a long period of time. • The may lead to stop of heartbeat as result of interference of the nerves connecting the SA node to the brain. • This might cause sudden death.
- 13. Conclusion • Without electricity flow in our body we will not be able to survive, as it is the best way we communicate with our environment and response to both internal and external stimuli.
- 14. Thank you for listening
- 15. DEDICATION • I dedicate this presentation to the Muslims who died in the Christchurch terror attach in New Zealand.