Routing - Science method

I am not 100% sure that I get your question. I had some experience with the self-assembly of magnetic nanoparticles. They initially had organic aliphatic trails, which prevented their immediate electro-static agglomeration. In my case, the challenge was to develop a homogenous dispersion of nanoparticles in a polymer matrix, while avoiding nanoparticle conglomeration due to electrostatics. It was an achievable goal. In your case, it sounds like you already accomplish your task: "ferromagnetic nanoparticles into a 3D cubic microstructure in aqueous media at 120°C", but need some advice on how to get rid of solvent (?). I would say that you can just heat it up in vacuum oven

One of the simplest lignin derived products that can be made in a lab is vanillin, which is the main flavor component of vanilla. Vanillin can be obtained from lignin by various biotechnological routes, such as enzymatic oxidation, microbial fermentation, or bioelectrochemical systems. For example, one possible method is to use a fungal enzyme called laccase to oxidize lignin and produce vanillin and other aromatic compounds1. Another possible method is to use a bacterium called Pseudomonas putida to convert lignin-derived compounds into vanillin and other value-added products. A third possible method is to use a microbial fuel cell to degrade lignin and generate vanillin and electricity simultaneously. These methods are more environmentally friendly and cost-effective than the conventional chemical methods of vanillin production from lignin.

Fuzzy logic is a mathematical concept that deals with uncertainty and imprecision. It is used in the context of the Fuzzy, Dynamic and Trust Based Routing Protocol for IoT to calculate trust scores for nodes in the network. The protocol uses a multi-fuzzy, dynamic, and hierarchical trust model (FDTM-IoT) to make routing decisions based on contextual information, quality of service, and quality of peer-to-peer communication. Fuzzy logic is used in trust calculations to consider uncertainty as one of the most important inherent characteristics of trust.

The advantages of using fuzzy logic in the trusted routing protocol are:

Improved network performance: FDTM-RPL, the proposed routing protocol, provides high performance in detecting attacks and improves network performance in a variety of criteria, including end-to-end delay and packet loss rates.

Efficient communication: The use of contextual information, attention to security issues, and the consideration of service quality make proper routing decisions, enabling efficient communication of information among IoT nodes.

Better security: FDTM-RPL uses trust to deal with attacks, making it more secure than traditional routing methods.

I hope this helps!

The placement of electronic toll stations in a city can vary based on factors like traffic flow, infrastructure, and city planning. They may be strategically positioned along major routes, forming a sequential network. In some cases, a grid pattern might be employed to cover various entry and exit points efficiently. Circular patterns are less common but may be used based on city layout and traffic patterns.

Regarding connectivity, electronic toll stations are typically part of a connected network to ensure efficient toll collection and data management. Connecting all stations allows for synchronized operations, real-time data exchange, and centralized control. However, specific cases may exist where connectivity challenges lead to isolated toll stations. Local factors and technological considerations could influence the design and connectivity of the toll collection system in a city.

Look for reputable academic publishers known for scientific, medical, or pharmaceutical content. Some examples include Springer, Wiley, Elsevier, Taylor & Francis, and CRC Press.Visit the websites of potential publishers and review their submission guidelines. They usually provide details on how to submit proposals or manuscripts for book chapters.Reach out to the acquisition editors or the respective publishers of the selected companies. You can often find their contact information on the publisher's website.Prepare a proposal for your book chapter. The proposal should include an outline, summary, intended audience, and significance of the content.Ensure your chapter contributes unique and valuable insights to the field. It should offer new information, a comprehensive review, or original research.Verify that the information you're providing meets scientific standards and is supported by robust evidence. This is crucial in the field of herbal medicines and cancer treatment. Consider collaborating with other experts in the field. Multiple authors can enhance the credibility and expertise of the chapter.Reputable publishers often have a peer review process to ensure the quality and accuracy of the content. Be prepared for this review as part of the publication process.Ensure compliance with legal and ethical guidelines in terms of data sources, citation, and usage of proprietary information.Discuss and negotiate terms related to copyright, royalties, distribution, and any fees associated with publishing. Discuss and negotiate terms related to copyright, royalties, distribution, and any fees associated with publishing. Submitting a book chapter in the realm of herbal medicines and bioactive compounds in cancer treatment requires meticulous planning, a rigorous approach to content creation, and a strategic engagement with publishers and experts in the field. Conduct thorough research and ensure that the content adds value and novelty to the existing literature.i hope i helped :)

Publish as many articles and possible any you the reviewers comment to your improve and shape your Thesis.

Routing in dynamic and potentially untrusted vehicular environments, such as Vehicular Ad-hoc Networks (VANETs), presents several challenges and threats. These environments involve high mobility, rapidly changing topologies, and a mix of trusted and untrusted nodes. Here are the key challenges and threats associated with such routing:

High Mobility and Dynamic Topology: Vehicles move rapidly, leading to frequent changes in network topology. This makes it challenging to maintain stable communication paths and requires efficient route maintenance and discovery mechanisms.

Scalability: Given the potentially large number of vehicles in an urban environment, the routing protocol must scale to handle a large number of nodes without degrading performance.

Time-Critical Data: Vehicular environments often require the transmission of time-sensitive data, such as safety messages. Ensuring timely delivery in the face of network congestion and dynamic topology is challenging.

Security and Privacy Concerns:

Spoofing Attacks: Malicious nodes might impersonate legitimate vehicles to inject false information or disrupt the network.

Eavesdropping: Untrusted entities might intercept sensitive data being transmitted.

Sybil Attacks: A single adversary may present multiple identities to mislead the system.

Replay Attacks: Adversaries might retransmit old messages to confuse vehicles or traffic management systems.

Privacy Concerns: Continuous transmission of vehicular data might lead to privacy breaches, revealing a vehicle's location, travel patterns, or driver behavior.

Network Fragmentation: Due to high mobility, parts of the network might get disconnected, leading to communication challenges.

Resource Constraints: Even though vehicles can offer more computational power than typical mobile devices, they still have limitations in terms of bandwidth, battery (for certain on-board devices), and storage.

Interference: Vehicular environments might face interference from other wireless devices, leading to reduced communication reliability.

Heterogeneity: Vehicular networks might consist of a diverse range of devices with varying capabilities, from modern cars with advanced sensors to older vehicles with basic communication capabilities.

Reliability: Ensuring reliable communication in the face of obstacles (like buildings in urban environments) and at high speeds is crucial, especially for safety-related communications.

Trust Management: Establishing trust among vehicles, especially in an untrusted environment, is challenging. Mechanisms are needed to evaluate the trustworthiness of messages and their sources.

Addressing these challenges requires a combination of robust routing protocols, advanced cryptographic techniques, trust management systems, and efficient data dissemination strategies tailored for vehicular environments.

You can look at this implementation of depth based routing (DBR) for underwater acoustic networks - https://www.tetcos.com/pdf/v13.3/NetSim-UWAN_DBR-protocol-implementation.pdf

Energy is a fundamental driver of ecological processes within an ecosystem, and its flow is a key aspect of ecosystem dynamics. Understanding the importance of energy in an ecosystem, its routes of use, and the key features of energy flow is crucial for comprehending how ecosystems function.

Here are the primary points regarding energy in ecosystems:

In summary, energy is a fundamental currency of life within ecosystems, driving ecological processes and influencing the structure and functioning of ecosystems. Energy flow in ecosystems is characterized by its unidirectional nature, energy loss at each trophic level, and the inefficiency of energy transfer as it moves through the food chain. These principles are central to understanding ecosystem dynamics and the relationships between organisms within ecosystems.

Implementation of cluster-based routing can be done with the following:

Let's break down the problem and try to reframe the constraints to ensure they reflect the requirements accurately.

Firstly, your goal is to determine whether a visit to a patient \( i \) by doctor \( k \) on shift \( t \) occurs before or after a break.

Your variables:

- \( Z_{ikt} \): Binary, 1 if patient \( i \) is visited by doctor \( k \) on shift \( t \) before the break.

- \( Z'_{ikt} \): Binary, 1 if patient \( i \) is visited by doctor \( k \) on shift \( t \) after the break.

- \( S_{bkt} \): Starting time of break by doctor \( k \) on shift \( t \).

- \( S_{ikt} \): Starting time of visiting patient \( i \) by doctor \( k \) on shift \( t \).

- \( X_{ijkt} \): Binary, 1 if doctor \( k \) on shift \( t \) goes from node \( i \) to node \( j \).

Let's restate the constraints:

1. If \( S_{bkt} \) is greater than \( S_{ikt} \), then \( Z_{ikt} \) should be 1. This implies that the visit to patient \( i \) is before the break. You've used a large \( M \) to handle this condition. This is a big-M constraint and is often used in linear programming to model conditional constraints.

2. A visit can either be before the break or after the break, hence the summation of \( Z_{ikt} \) and \( Z'_{ikt} \) is 1 if patient \( i \) is visited by doctor \( k \) on shift \( t \). You've used the \( X \) variable to enforce this, which seems correct.

For the first constraint: the way you've modeled it assumes that if \( S_{bkt} - S_{ikt} \) is positive (i.e., \( S_{bkt} > S_{ikt} \)), \( Z_{ikt} \) will be 1. However, this doesn't enforce the converse (i.e., if \( S_{bkt} \leq S_{ikt} \), \( Z_{ikt} \) should be 0).

You can re-write this constraint using two inequalities to cover both scenarios:

\[

S_{bkt} - S_{ikt} \leq M(1 - Z_{ikt})

\]

\[

S_{ikt} - S_{bkt} \leq MZ_{ikt}

\]

The first equation ensures that if \( S_{bkt} \) is greater than \( S_{ikt} \), \( Z_{ikt} \) is forced to be 0. The second equation ensures the opposite.

The second constraint you provided seems to be correct. It ties the \( Z \) variables to the \( X \) variable, ensuring that \( Z \) and \( Z' \) can only be non-zero if there's a visit.

Lastly, ensure that the value of \( M \) is sufficiently large to avoid infeasibilities but not too large to cause numerical instability in the solver.

Try implementing these changes and see if they correct the issues with the \( S \) variables.

The choice of a specific synthesis temperature, such as 60°C, for Cu-doped ZnO via sol-gel method can vary depending on several factors. Here are a few possible reasons why this temperature is commonly used:

Favorable reaction kinetics: The sol-gel process involves the hydrolysis and condensation of precursor compounds to form the desired material. A temperature of 60°C might be chosen because it provides a favorable balance between reaction rates and control over the formation of the material.

Thermal stability: The selected temperature should ensure the stability of the precursor solution during the synthesis process. 60°C can be suitable for maintaining the sol stability while facilitating the necessary chemical reactions without significant decomposition or evaporation of the solution.

Homogeneity and crystallinity: The synthesis temperature can influence the crystal growth and crystallinity of the resulting material. 60°C may allow for controlled nucleation and crystal growth, leading to a more homogenous and well-defined Cu-doped ZnO structure.

Avoiding undesired side reactions: Some precursor compounds used in the sol-gel process can be prone to undesirable side reactions or decomposition at higher temperatures. By choosing 60°C, it may be possible to minimize these side reactions while still achieving the desired doping and structure.

It's worth noting that the choice of synthesis parameters, including temperature, can depend on the specific objectives of the study, the properties desired in the material, and the precursor compounds used. Different research groups may have their own optimized temperature ranges based on their specific requirements and experimental conditions.

Generally, I had no great success with QST2 nor QST3

The best practice to locate a TS is

a) perform a relaxed scan along the reaction coordinate (bond) under study

you could use something like

# opt=modredundant uMN15L/6-31+g(d,p)

Then add the details at the bottom of the file

B 1 2 S 20 0.100000

b) Take the highest energy point from step a and save it as input file for your TS search , then locate the TS using

# opt=(calcfc,ts,noeigen) uMN15L/6-31+g(d,p) freq

noeigen ensures that you will have only one imag freq

Also, take a look at

https://doi.org/10.1039/C7CP06082C

Good luck

Cracks in 5% silicon stainless steel during forging or casting can be attributed to various factors related to material properties, processing conditions, and cooling rates. Here are some potential reasons for the cracking:

To mitigate cracking issues, consider the following steps:

It's essential to work closely with materials experts and conduct detailed analysis to identify the root cause of the cracking and implement appropriate solutions. Modifying the alloy composition, process parameters, and post-processing treatments can help produce crack-free components.

Adam Matěj Thank you for your response- The project I am working on is for students to better visualize the quantitative calculations by comparing it to qualitative calculations taught in inorganic chemistry courses.

I am comparing qualitative results calculated from group theory to quantitative results from a computational calculation for a planar D5h symmetric molecule.

In the qualitative calculation, the py basis functions were oriented pointing towards the z axis to emphasize the symmetry. I would like to reflect that in the quantitative calculation so I can make a cleaner comparison.

I am using AOMix to print the coefficients from the computational calculation, however at the moment since the basis functions are not oriented as desired, I must do some trigonometry which is rather tedious. I also use the visualization software iqmol to visualize the basis functions, so having them oriented to emphasize symmetry would be useful.

Did you find any solution?

you can get mor information in the manual of multiwfn in this manual explain about polarizability and hyper

you got the answer? share me ?

Checkout this book chapter:

and this report:

There are a few ways you can try to improve traffic flow at your roundabout: 1. Reduce capacity on the approach roads - If the approach roads are extremely busy, reducing the number of lanes may help reduce congestion by reducing the number of vehicles entering the roundabout.

2. Use traffic signals - Installing traffic signals at the approach roads may help to manage the supply of vehicles onto the roundabout. This could help spread out the traffic more evenly, reducing the amount of queueing that occurs.

3. Change lane design - Adjusting the lane widths, designing corner radiuses and adding additional lane markings such as triangles and double arrows may help drivers understand the route more clearly, thereby improving the traffic flow.

4. Improve signage - Making sure drivers are aware of the lane markings and the route ahead can help keep traffic flowing at the roundabout.

5. Improve intersection geometry - If your roundabout has sharp turns or tight radii, this can affect the flow of traffic. Adjusting the radii to allow for smoother turns could improve traffic flow. Hopefully one of these approaches will help solve your problem. Good luck!

Hello Linda Julian

For most routes of administration, a pH range of 4.5–8.0 is satisfactory. However, for oral administration, a pH as low as 3 can be tolerated, but alkaline solutions are very poorly tolerated.

In case of oral gavage route, I would suggest the optimal pH range of 7.2 -7.4 because extremes in pH could cause local tissue damage. Phosphate-buffered saline (pH 7.2-7.4) could be used to make the solution.

You may want to refer to the article attached below.

Best.

A Pheromone Table is a data structure used in Ant Colony Optimization (ACO), a metaheuristic algorithm inspired by the foraging behavior of ants. In ACO, the algorithm seeks to find the shortest path between two points in a network by simulating the behavior of ants searching for food.

In the context of ACO, the Pheromone Table is a table that contains information about the paths taken by previous ants in the food search. The entries in the table represent the probabilities of choosing each neighboring node as the next node in the path to the destination. These probabilities are based on the amount of pheromone left by previous ants on each path.

The Pheromone Table is similar to the routing tables used in Distance-Vector Algorithms, which store information about the distance between nodes in a network. However, instead of distances, the Pheromone Table stores probabilities, which represent the likelihood of choosing a particular path based on the pheromone trails left by previous ants.

The Pheromone Table is updated dynamically as ants move through the network, with pheromone levels increasing on successful paths and decreasing on less successful paths. By using the Pheromone Table to guide the search for the shortest path, ACO can find optimal solutions quickly and efficiently, even in large and complex networks.

First, the fact that your east-bound lane is not highlighted by the route is not a problem. Routes do not know about lanes, this is calculated on the fly at simulation start. Normally, the whole link should be highlighted, for some reason the highlighting is too narrow, but that should be a graphics glitch only.

There are several reasons why vehicles would not pick up a static route:

1. They already have a route. You can check during the simulation the vehicles have some attribute for the static route that they use.

2. You use dynamic assignment. Dynamic assignment vehicles completely ignore static routes.

3.The routing decision itself could be picky and, e.g., apply only to specific vehicle classes.

4. Various error conditions; I am not sure what happens if you set the probability of all routes to zero, for example.

XRD pattern is obtained due to periodic arrangement of the atoms in the material. Preparation processes such as sintering, annealing or other such methods affect the ordering of the atoms. Therefore, the XRD pattern depends on such processes.

The Indian Ocean is an important body of water that plays a crucial role in global trade and commerce. It connects the major economies of Asia, Africa, and the Middle East, making it a vital transit route for international shipping. Here are some key points on the importance, resources, and features of the Indian Ocean:

· The Indian Ocean is one of the busiest shipping lanes in the world, connecting major ports in India, China, Japan, South Korea, Southeast Asia, Africa, and the Middle East.

· It is home to some of the world's busiest ports, including Singapore, Mumbai, and Colombo.

· The Indian Ocean is also rich in natural resources, including oil, gas, fish, and minerals, making it an important source of revenue for many countries in the region.

· The ocean plays a significant role in global climate patterns, affecting weather and rainfall patterns in many parts of the world.

· The Indian Ocean is rich in oil and gas reserves, particularly in the Persian Gulf, which is home to some of the world's largest oil fields.

· The ocean is also a major fishing ground, providing livelihoods for millions of people in the region.

· Other resources found in the Indian Ocean include minerals such as manganese, nickel, and cobalt, which are used in the production of electronics and other industrial products.

· The Indian Ocean is the third-largest ocean in the world, covering an area of approximately 70.6 million square kilometers.

· It is bordered by Africa to the west, Asia to the north, Australia to the east, and the Southern Ocean to the south.

· The ocean is characterized by several large features, including the Arabian Sea, Bay of Bengal, Andaman Sea, and Mozambique Channel.

· The Indian Ocean is also home to several islands, including the Maldives, Seychelles, and Madagascar.

In summary, the Indian Ocean is a vital transit route for international shipping, rich in natural resources, and plays an important role in global climate patterns. Its features include several large bodies of water and islands, making it an important resource for the countries in the region.

Routing focuses on determining the optimal path or route for tasks or jobs through a system, while sequencing involves determining the optimal order of task execution within a system or a single machine. Routing deals with physical or logical movement of tasks, while sequencing deals with the order of task execution.

It depends on the gene of interest and the type of experiment you are running. Generally speaking, if you need to perform a specialized experiment, it may be necessary to order a multibac plasmid. If you are just performing a basic experiment and your gene of interest is compatible with DH10bacs, then you can go down this route.

The dose of any drug should be tailored to the individual animal, taking into account its age, size, and health condition. Generally, when using tamoxifen in mice, a dose of 0.25mg/kg (body weight) is recommended, administered via intraperitoneal injection.

One more option is for you to explore NetSim. These are two useful links a. Underwater acoustic network library: https://www.tetcos.com/underwater_networks.html b. Machine learning with NetSim: https://www.tetcos.com/machine-learning-netsim.html

The process of interaction between the authorities, the operator and passengers in the service of passengers by public transport is organized in a number of ways. Firstly, the authorities set the rules and regulations regarding the service and safety of passengers, which the operator must follow. This includes the number and types of vehicles available, the fares and any other requirements such as route maps or schedules.

The operator then works to ensure that these regulations are followed and that passengers have a safe, comfortable and enjoyable journey. They are responsible for providing the vehicles and drivers, as well as any other necessary services such as ticketing, customer service and route information.

Passengers are expected to follow the rules and regulations set by the authorities and the operator, and will usually contact the operator to make sure they know the rules and what is expected of them. They can also contact the authorities if they have any concerns or complaints about the service.

To determine trip production and completion flows using historical data of an urban traffic network, you need to collect data on traffic volumes, travel times, and origin-destination patterns. Then, develop a trip matrix using a variety of methods such as the gravity model or entropy-maximizing method. Use this matrix to estimate the total number of trips produced and completed within the study area and time period. Analyze flow patterns of trip production and completion to identify spatial or temporal trends or patterns. Validate the results by comparing them to other sources of data such as travel surveys or traffic counts. It is recommended to consult with an expert in traffic engineering or transportation planning to determine appropriate methods and tools.

For example, using the chart provided, the routing table for RouterA would look like this. The metric is a measure of the distance between the router and the destination network, and is used to determine the best path to forward the packet. The lower the metric, the better the path.

Calorific value can be increased by maintaining the hydrogen and carbon ratio; more hydrogen means more hating value.

This is a secured communication for peer to peer network where in message s is encrypted over the networks.

Dear Sergei Azemsha, I can recommend the following state-of-the-art review paper on urban transportation network design problems, including public transportation network and multi-modal network optimization. This paper will help you gain knowledge on decisions to optimize, objectives while optimizing, evaluation methods (e.g., trip assignment models, simulation software), and optimization techniques as well as proper terminology.

Thank you for your answer !

But when I have re-run the network, I have noticed a little error when I have mask the real domain name. So we do have :

14:00:18 DBG [auth.rgwx] Received Diameter answer with error code '3002' from server 'aaa.galetteSaucisse.fr', session 192.168.1.2;1667653215;1;cookiehacker;aaa.galetteSaucisse.fr, translating into Access-Reject

Justin Anthony

As an update to my question:

I found we have to add IOP(1/152=252), for the max cycles of SCF to work.

For example, this is part of the keyword I've used

opt=(calcfc,maxcyc=252) iop(1/152=252)

Good luck to everyone in their research!

Not only did pre-colonial trade occur but some manufacturing also took place and so traders engaged in the sale of manufactured products. Ancient Africa traded in tobacco, gold, copper, spices, ebony, ivory, and skins.

People in pre-colonial Africa were engaged in hunting and gathering, agriculture, mining and simple manufacturing. Agriculture involved most people, so the chapter looks mainly at farming activities. The chapter explains that farmers in those days faced two big challenges: a hostile environment and scarcity of labour.

(citation from: https://www.aehnetwork.org/wp-content/uploads/2016/01/Green.Production-Systems-in-Pre-Colonial-Africa.pdf

———————-—

The very earliest evidence of African trade is described by Herodotus (c. 484-425BC) who wrote of the trade across the Sahara; a trade recorded in rock paintings dating from 10,000BC.

(Citation from: https://african.business/2021/10/trade-investment/a-short-history-of-african-trade/

————

In most parts of Africa before 1500, societies had become highly developed in terms of their own histories. They often had complex systems of participatory government, or were established powerful states that covered large territories and had extensive regional and international links.

The Transatlantic Slave trade not only distorted Africa’s economic development it also distorted views of the history and importance of the African continent itself. It is only in the last fifty years that it has been possible to redress this distortion and to begin to re-establish Africa’s rightful place in world history.

The African continent is now recognised as the birthplace of humanity and the cradle of civilization. We still marvel at the great achievements of Kemet, or Ancient Egypt, for example, one of the most notable of the early African civilizations, which first developed in the Nile valley over 5000 years ago.

(Citation from:

———-—

The main items traded were gold and salt. The gold mines of West Africa provided great wealth to West African Empires such as Ghana and Mali. Other items that were commonly traded included ivory, kola nuts, cloth, slaves, metal goods, and beads.

(Citation from: https://www.ducksters.com/history/africa/trade_routes_of_ancient_africa.php

——-—

Simple conclusion:

Colonization brought a full disruption of Africa‘s traditional trade and routes.

Dear Mr Singh,

There are numerous research papers that present interesting mathematical optimization models for this problem which is also precisely known as Human Resource Allocation Problem (HRAP). The following two review papers may help you in gaining a better understanding of the different types of formulations applied in this domain:

1. Pentico, D. W. (2007). Assignment problems: A golden anniversary survey. European Journal of Operational Research, 176(2), 774-793.

2. Bouajaja, S., & Dridi, N. (2017). A survey on human resource allocation problem and its applications. Operational Research, 17(2), 339-369.

If you can pick the right formulation for your scenario from these papers, then I hope it would be just a matter of time to implement those formulations in any solvers, even in Python or R.

You may contact me in case you are not able to access the above-listed papers.'

Best wishes,

Vishnu

You can look at the documentation of NetSim’s UWAN module available at https://tetcos.com/help/v13.2/Technology-Libraries/UWAN.html DBR/VBR will require some custom development (source code modification).

Binder has nothing to do with your problem. The main problem when sintering aluminum powder is oxidation. It is simply impossible to obtain oxide-free sintered aluminum alloy products using powder metallurgy. There is a material that is made from aluminum powder by sintering: SAP ( http://www.totalmateria.com/Article76.htm ), but this material has nothing to do with molten aluminum because it contains from 6 to 22% aluminum oxide. In addition, these sintered materials have to be sintered under pressure (hot pressing), because without pressure only very porous and weak sintered bodies are produced, as in your case.

Ellis Thompson ok so you can plot in X and Y axis the latitude and longitude respectively, and plot curves of different altitudes. So your Cartesian plane will have several curves, with each curve referring to a specific altitude. You could, say, use 10 curves going from 0 meters altitude (sea level) to 10000 meters altitude, with steps between each curve of 1000 meters.

I hope I have been helpful to you!

PS probably the aircraft simulation used that convention for latitude and longitude for mere reasons of matrix calculation

Best,

Claudio

Here is an interesting read:

How to calculate laser scan speed?

Thank you

This is an example in NetSim of using different unsupervised learning algorithms to increase the WSN network lifetime

Two more examples to increase the life time but not exactly ML based

In non-storing mode of operation nodes do not store DAO messages coming from child nodes, but only append their own address in the message. Other things remain same in storing and non-storing mode I think. As I can understand from your question that you want to access some data from the packets while they are being downward routed. That you can do easily by exploring the code of IP and RPL of RPL-lite in Contiki-NG.

Thanks Marc!

The paper is worth reading.

I just want to replace a COOH group by NH2.

Dear Farhana,

Both the strategies have their pros and cons. May please refer to the following article which is relevant to the research question.

L. Qiao et al., "Research on Task Assignment Based on Hierarchical Structure for Autonomous Underwater Vehicle," 2021 IEEE/CIC International Conference on Communications in China (ICCC Workshops), 2021, pp. 299-303, doi: 10.1109/ICCCWorkshops52231.2021.9538880.

May be helpful for your work:

Hi Soleiman

Your question is the question of many users of FLAC software in the field of tunneling.

I have fully explained your question in recent the FLAC 3D V 7.00.132 package, send me a message for extra information

With full respect,

Rashiddel

Yes, staining in solution is doable, one will have to work out the concentration.

I had a protocol for staining a 1L suspension of corn starch grains with iodine stain. Such requires a large amount of stain. However, the stain results can be beautiful, a very even stain result will occur. The concentration of your subject bacteria will determine the needed concentration for the working stain solution.

Presenting the plots for the results from calibration will be helpful in analysing the issues in the model.

Calibration and validation time periods vary, ideally it should be an even split with statistically similar data sets. However, researches prefer to use a larger time period for calibration such that the validation results are more preferable.

Additional problem with your reaction is that 4-iodopyrazole has its own free NH group, which may be active in this reaction, producing pyrazole polymer (another explanation for "where is the iodocompound goin?" Therefore, the first thing to do is to protect the 4-iodopyrazole NH.

Also, you can try to assemble your molecule starting from pyrazole-NH-protected pyrazolo-aminopyrimidine or pyrazolo-aminopyridine, depending on the availability of the starting material. Then you can attach the missing pyrimidine or pyridine moiety. Potential benefits of this approach is a higher reactivity of 2-halopyrimidine or corresponding halogenated pyridine reagents (compared to 4-iodopyrazole).

Good luck!

Dear Desta: I do apologize for my misunderstanding to your question, I just took another route . Regards.

I would love to see your findings. Please keep me posted!

Thank you everyone for replying. I had an inkling that the equation referred to the Manning's equation. That is why the thesis author using a K value of 5 by jyst looking at the channel bed surface made no sense to me. To be honest, tgat thesis smells fishy to me now.

Brahim Abdelkebir I've found that if the input time of concentration is less than your simulation time step, then it is automatically increased to match the simulation time step (24h in our cases). So you'll have to reduce the simulation time step. The output graphs will look weird but this is the only solution I could come up with.

Moreover, about the band structure of the Graphene, sigma and pi bonds should be considered in the simulator. Sigma bonds result from an overlap of sp2 hybrid orbitals, whereas pi bonds emerge from tunneling between the protruding pz orbitals. The attached image can be useful.

This web page might provide some inspiration:

You can use the outlet observations for calibrating the basin parameters as well as MC parameters which depend mostly on your river cross-sections. So only outlet discharge observations is enough for modeling. You have also chance to see the modeled inflows of the channels in hms and you can compare inflow and outflow hydrographs.

@Faisal A. Garba Till now there has been no real incident reported in this case. There are several reasons for this. One reason is the RPL is still in its development stage and not many organizations have deployment such networks. But as you know the benefits of using RPL it is going to be used in future at a very large scale and therefore security solutions for it need to be developed now. Another reason may be related to non-reporting of such cases.

Hi,

I think that your model is assimilable as a System Dynamic for this you try to use AnyLogic (System Dynamic Module) for solving this problem, please take a look at the links.

Best regards

Typically, you would fit such a model within the framework of path analysis/structural equation modeling (SEM), which can handle mediators (indirect effects), moderators (interaction effects), and non-linear (e.g., quadratic) terms. Most books/chapters/papers on SEM will include a discussion of path analysis.

I suggest you do a pilot study. Start with 1mg Cd /kg bd wt using a single rat followed by 2,3 ,4 and 5 (ip). If that fails change the route of administration, use the subcutaneous route.