Network - Science topic

Dear Deven Panchal ,

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Regards,

Shafagat

Very interesting topic to explored.

Dear Prof. Gross!

I fully recognise your objectives and you really make a difference. I am a biligual researcher who have studied five different languages. I am also a football coach in Finland at HJK Helsinki, helping children with disabiilities to learn the language of fooball. Football is a language via wich you can get friends, and new opportunities to learn from life:

1) J. Albrecht, K. Elmose-Østerlund, C. Klenk & S. Nagel (2019) Sports clubs as a medium for integrating people with disabilities, European Journal for Sport and Society, 16:2, 88-110, DOI: 10.1080/16138171.2019.1607468, Available at:

2) Dennis Bengtsson, Andreas Stenling, Jens Nygren, Nikos Ntoumanis, Andreas Ivarsson, The effects of interpersonal development programmes with sport coaches and parents on youth athlete outcomes: A systematic review and meta-analysis, Psychology of Sport and Exercise, Volume 70,

2024, https://doi.org/10.1016/j.psychsport.2023.102558, Open access:

Yours sincerely, Bulcsu Szekely

■ A. Abusukhon, Z. Mohammad, A. Al-Thaher (2021) An authenticated, secure, and mutable multiple-session-keys protocol based on elliptic curve cryptography and text_to-image encryption algorithm. Concurrency and computation practice and experience. [Science Citation Index].

■ A. Abusukhon, N. Anwar, M. Mohammad, Z., Alghanam, B. (2019) A hybrid network security algorithm based on Diffie Hellman and Text-to-Image Encryption algorithm. Journal of Discrete Mathematical Sciences and Cryptography. 22(1) pp. 65- 81. (SCOPUS). https://www.tandfonline.com/doi/abs/10.1080/09720529.2019.1569821 ■ A. Abusukhon, B.Wawashin, B. (2015) A secure network communication protocol based on text to barcode encryption algorithm. International Journal of Advanced Computer Science and Applications (IJACSA). (ISI indexing). https://thesai.org/Publications/ViewPaper?Volume=6&Issue=12&Code=IJACSA&Seri alNo=9

■ A. Abusukhon, Talib, M., and Almimi, H. (2014) Distributed Text-to-Image Encryption Algorithm. International Journal of Computer Applications (IJCA), 106 (1). [ available online at : https://www.semanticscholar.org/paper/Distributed-Text-to-Image-Encryption-Algorithm-Ahmad-Mohammad/0764b3bd89e820afc6007b048dac159d98ba5326]

■ A. Abusukhon (2013) Block Cipher Encryption for Text-to-Image Algorithm. International Journal of Computer Engineering and Technology (IJCET). 4(3) , 50-59. http://www.zuj.edu.jo/portal/ahmad-abu-alsokhon/wpcontent/uploads/sites/15/BLOCK-CIPHER-ENCRYPTION-FOR-TEXT-TO-IMAGE ALGORITHM.pdf

■ A. Abusukhon, Talib, M. and Nabulsi, M. (2012) Analyzing the Efficiency of Text-to-Image Encryption Algorithm. International Journal of Advanced Computer Science and Applications ( IJACSA )(ISI indexing) , 3(11), 35 – 38. https://thesai.org/Publications/ViewPaper?Volume=3&Issue=11&Code=IJACSA&Seri alNo=6

■ A. Abusukhon, Talib M., Issa, O. (2012) Secure Network Communication Based on Text to Image Encryption. International Journal of Cyber-Security and Digital Forensics (IJCSDF), 1(4). The Society of Digital Information and Wireless Communications (SDIWC) 2012. https://www.semanticscholar.org/paper/SECURENETWORK-COMMUNICATION-BASED-ON-TEXT-TO-IMAGE-Abusukhon-Talib/1d122f280e0d390263971842cc54f1b044df8161

In Cytoscape Desktop, you can adjust the binding position between nodes and edges using the "Bend" tool:

1. Select the edge: Click on the edge (the line connecting two nodes) to select it.

2. Access the "Bend" tool: In the top menu, select "Tools" and then choose "Bend". Alternatively, you can use the shortcut key "B" to activate the Bend tool.

3. Add a bend point: Click on the edge where you want to add a bend point. This will create a new point on the edge, allowing you to adjust the position and shape of the edge.

4. Move the bend points: Once you have added the bend point, you can click and drag it to reposition the edge and change the binding position between the nodes.

5. Adjust the appearance: You can further adjust the appearance and curvature of the edge by adding multiple bend points and manipulating their positions.

6. Save the layout: After adjusting the edge binding position, you can save the layout to preserve the changes you've made.

Hi Krishna Neupane ,

Definitely every person should be aware of the security concern while using the public wifi. For the security reason, some suggestions can be done as:

1) Users should avoid to share their confidential data via public wifi as their bank details, password etc.

2) Network administrator may use phone number,captcha for the user identification.

3)User should always use antivirus on you laptop and mobile phone for more security.

4) Network administrator can also use firewall and IDS to increase security.

Hope this suggestions helps you out.

Thanks and regards,

Jaspreet Kaur

you can use also machine learning

It is important to understand Twitter's users and its advertising base to answer this question. For an advertiser focused on Business-to-Business (B2B) or Business-to-Government (B2G), especially those focused in the tech industry, Twitter provided the marketing personas that we sought. Personas are the user type profiles sought, i.e., C-Level, Business decision maker, technical decision maker, and business influencer. and, Facebook and Instagram started as a great place to appeal to Business-to-Consumer (B2C) personas.

For Threads to capture Twitter's users and B2B/B2G personas, it must deliver a better experience and provide advertisers the confidence to jump to that platform to be successful. Threads' first steps have not been successful in doing so.

Dear Najoua Mghazli ,

parse InversE Covariance estimation for Ecological Association and Statistical Inference

This package will be useful to anybody who wants to infer graphical models for all sorts of compositional data, though primarily intended for microbiome relative abundance data (generated from 16S amplicon sequence data). It also includes a generator for [overdispersed, zero inflated] multivariate, correlated count data. Please see the paper published in PLoS Comp Bio.

Regards,

Shafagat

Yes, information exchange and collective appraisal of ideas are crucial for the emergence of collective consciousness. Collective consciousness refers to a shared awareness and understanding that arises within a group of individuals. It is characterized by a sense of belonging, shared values, and a common understanding of goals or objectives.

Information exchange plays a fundamental role in the development of collective consciousness. When individuals share their knowledge, perspectives, and experiences with each other, it allows for the pooling of collective wisdom. Through this exchange, ideas can be evaluated, refined, and expanded upon, leading to the emergence of new insights and a deeper understanding of complex issues.

Collective appraisal of ideas involves the critical evaluation and analysis of different viewpoints within a group. It encourages open dialogue, constructive feedback, and the exploration of alternative perspectives. By engaging in this process, individuals can challenge their own assumptions, expand their thinking, and develop a more nuanced understanding of a given subject matter.

Both information exchange and collective appraisal of ideas foster collaboration, cooperation, and the integration of diverse perspectives. They help to bridge individual knowledge gaps and promote a shared understanding among group members. This shared understanding is a key aspect of collective consciousness, as it allows for collective decision-making, collective problem-solving, and the formation of collective identities.

In summary, information exchange and collective appraisal of ideas are essential for the emergence of collective consciousness. These processes facilitate the sharing and integration of knowledge, leading to a deeper understanding and a sense of shared awareness within a group.

ChatGPT, or any AI chatbot for that matter, has the potential to significantly impact the future of humanity in both positive and negative ways.

Positive impacts:

1. Improved accessibility to information: With an AI-powered chatbot like ChatGPT, people can easily access a wide range of information and answers to their questions without having to spend a lot of time searching for it.

2. Enhanced productivity: ChatGPT can quickly provide answers to common questions, which can save people time and increase productivity.

3. Better customer service: Companies can use AI chatbots like ChatGPT to provide better and faster customer support.

Negative impacts:

1. Dependence on technology: As people become more reliant on technology, they may lose some of their critical thinking skills and analytical abilities.

2. Job displacement: ChatGPT and other AI technologies could potentially replace human workers in certain job types, leading to significant unemployment.

3. Privacy concerns: AI chatbots require access to user data to function, which could potentially lead to privacy violations.

Overall, the impact of ChatGPT on the future of humanity will depend on how it is developed and implemented. If used responsibly and ethically, it could provide significant benefits. However, if not properly regulated, it could also create some negative consequences.

Yashar Salami

Here is a really first class networking site for scientists:

Some of it says:

Internal and external network communications are essential for CERN. Internally, over 50 000 km of optical fibre provide network connectivity throughout the CERN sites. The CERN Data Centre is also the host of the CERN Internet eXchange Point (CIXP), a carrier-neutral exchange point, through which CERN played a central role for the internet’s development. In 1991, 80% of the internet capacity in Europe for international traffic was installed in the CERN Data Centre.

One of the most impressive components of the Worldwide LHC Computing Grid is its networking and connectivity. It can initiate the distribution of data to the hundreds of collaborating institutes worldwide thanks to the excellent connectivity and dedicated networking infrastructure set up at CERN and subsequently worldwide. Thanks to the network upgrades done during the LHC long shutdown 2, the data transfer rates around the globe also reached new peak rates before Run 3 new collisions – up to 33 gigabytes per second rates, around a factor of eight higher than had been typical during the LHC Run 1.

My program doesn't match your request. But you can code your model by yourself using LINGO.

I recommend you to publish your article in journals related to your especilast scopus journals where their are familar reviewers

Dear honorable researchers,

Preprints are defined as an author’s version of a research manuscript prior to formal peer review at a journal, which is deposited on a public server. ResearchGate (RG) said about "Preprints" an early-stage research.

Before answering this valuable question of Prof. Yashar Salami, please let me give my own opinion about preprint:

Finally, for the coming future, do not upload any paper anywhere until it is published with your name. Even if it is a "preprint"! For the time being, If you had done something like that as a "preprint", for instance, I advise you to delete the preprint from any elsewhere and wait for two months before sending the paper to any journal.

Dear honorable researchers,

Preprints are defined as an author’s version of a research manuscript prior to formal peer review at a journal, which is deposited on a public server. ResearchGate (RG) said about "Preprints" an early-stage research.

Before answering this valuable question of Prof. Yashar Salami, please let me give my own opinion about preprint:

Why you let others know about your insights and methodologies before publication? You should avoid telling the other researchers about the details of anyone of your papers until it has been published and seeing your name by yourself. You may say that I am somewhat old-fashioned, but I have a different perspective for uploading any preprint anywhere before it has been published by your name. My advice is not to put your research anywhere until it is published.

Finally, for the coming future, do not upload any paper anywhere until it is published with your name. Even if it is a "preprint"! For the time being, If you had done something like that as a "preprint", for instance, I advise you to delete the preprint from any elsewhere and wait for two months before sending the paper to any journal.

Dear Ms. Elva Lara , Thank you for your reply. I will try this tool.

Your problem sounds more like a maximum-connected subgraph problem: You can give a positive weight to each query node (depending on how important it is to connect it), and -1 weights to all other nodes. The maximum-weight connected subgraph problem is to find a connected subgraph of maximum node-weight. There is some quite efficient software for this problem. E.g.: https://scipjack.zib.de/

The Internet Engineering Task Force (IETF) generically defines this as "network slicing." I ran across this current Internet Draft, which provides generically the framework for network slicing, from the IETF's point of view. It sounds like this is what you're looking for, at least, in terms of a framework, as opposed to just one specific solution.

GeMTC software – performing NMA in Bayesian framework

do you have any funding ?

This is one of the most competitive research area in communication engineering for the moment, because several new papers appear every week. If you are new to research, I would recommend looking for another topic, where there is less prior work to keep track of and potentially more open problems to consider. A good starting point is to read IEEE magazines and look for open problems that are mentioned there.

I understand that true integration is done from social cohesion. To achieve social cohesion, you must start at the beginning: kindergarten and elementary school. This is the first link in social integration / cohesion, where people get to know each other, understand each other and then help each other. I have something written (in Spanish) about it, you can see in the following links:

Hi Bhargava

I just had a quick look at the package, and it seems that more than one miRNA input is not being accommodated at once. However, a simple idea would be to use a for loop to parse each miRNA for target prediction. You can save each output as a separate file, or merge them all together. My suggestion will be to consider adding an additional column on the target outputs to serve as miRNA and bind all the rows together into one output. You can then generate the network using an R package such as igraph or even using tools such as Cytoscape and Gephi. I haven't checked GO analysis yet, but the same suggestion applies. Lemme know if you have any difficulties so I can help.

Cheers

Dear Researcher

This is code,

I wish the best for you with Regards

similar to Laser Power Converters (LPCs) for Solar cells, are there any LED Power Converters available ?

You can use the network analysis variant of statistical relationships

Dear Sai charan Koppuravuri ,

Here are some useful links, I hope you will find them helpful:

can you please share your python code ?

you can use other artificial methods based on scripts that attempt to extract content from web pages HTML parsing

The use of web APIs causes complications due to robotic controls and access restrictions.

Good luck

Try to keep IT simple. Here are some freemium suggestions as starting RD Dev Ecosystem: Trello (it's a great Kanban board with a lot of predefined templates), combined with Slack (communication), VideoConf (Zoom, Skype, Google Meet), Repository (Google Drive or Dropbox), Code repository (Github). For a more versatile solution ping me and I'll give you more options. GCP might be a great platform on the top of my suggestions.

Hi Raphael Santos

I have used most of the tools mentioned before. While each of them has its strengths and weaknesses, nowadays I have been constantly relying on the same tool for solving all kinds of optimization problems.

This tool is a combination of Julia programming language with the Julia package JuMP which defines (in my opinion) the most elegant and intuitive modeling language that makes it easy to try different solvers on the same problem by simply changing the solver name in the code. It also allows easy access to more advanced features of MILP solvers such as generic support for callback functions that can be used to modify the problem while solving it with the addition of valid inequalities and user-defined heuristics.

As an example, solving the TSP using the DFJ (Danzig-Fulkerson-Johnson) formulation that has an exponential number of subtour elimination constraints is straightforward with JuMP. You can simply set up a "lazy constraint callback" function that will check if subtours are present in the solution and if not, add constraints to break these subtours. This is particularly easy when considering only integer solutions, but you can also use the "user callback" function to cut off fractional subtours. JuMP has turorials of several important modeling paradigms that can be used as a basis for your model. Here are the relevant links:

You can download Julia programming language from

Website for the JuMP package

Tutorials for modeling with JuMP

More example problems solved with JuMP

Best regards

Juho

to my personal view, I think it is one of the best as far as conceptualization is considered.

Send me an email at xmarks@exemail.com.au and I'll send you the file

Dear, Steffen,

Many thanks for the answer!

I got it.

You can use a demultiplexer to connect the switch to the two controllers.

The demultiplexer is controlled by a select signal.

Best wishes

That's a good question

Mininet would be useful, plz check this https://www.google.com/url?sa=t&source=web&rct=j&url=https://wiki.hyperledger.org/plugins/servlet/mobile%3FcontentId%3D6425154%23content/view/6425154&ved=2ahUKEwjozYyw0PfoAhWmzjgGHQf1AFwQFjAAegQIBRAC&usg=AOvVaw2dWvt_uESW8g3BcjS7R6IO

The common properties of the systems described in the question are the complexity, the multi-scale nature and the self-similarity of the governing laws with respect to scaling. The concept of complexity used here is very general and indicates that the system is composed of a large number of interacting parts and has a marked tendency to self-organization (emergence of macroscopic structures).

Multiscale complex systems are described by a non-Gaussian statistical distribution. They also exhibit the self-organized criticality observed in phenomena ranging from earthquakes and landslides to undesirable stock market behavior.

In examining the problem from the historical point of view, it is worth mentioning that the non-Gaussian statistical distribution was identified in 1892 by Wilfredo Pareto after a survey of the income distribution. Asymmetrical distributions, similar to those studied by Pareto, have also been observed in the natural sciences.

This fact led to the creation of a physical economy based on the methods developed in statistical physics. This new disciplines shows significant predictive skill with respect to the forecasting of general trends.

You can generate a scale-free network with an arbitrary exponent. However, for exponents <2 there is even no well-defined mean degree, which is rather strange situation. The simple option, to first do a very trivial fit, like just fitting a line into a log-binned distribution and using the value of exponent you obtained to determine the range that might be of interest to you.

Hi.,

Crowdsourcing is used as a collective intellectual gathering of information that comes from the public and is then used to complete a business-related task. In other words, businesses use an outsourcing task that's usually performed by an employee, staff, or contractor, to deliver to a crowd of people.

Uber, which pairs available drivers with people who need rides, is an example of crowdsourced transportation. While crowdsourcing often involves breaking up a big job, businesses sometimes use crowdsourcing to assess how multiple people perform at the same job.. With crowdsourcing, large work projects are broken into smaller chunks, or microtasks, and then divvied out to tens, hundreds, or even thousands of people for fast, efficient completion. In this sense, crowdsourcing is based on the principle that many hands make light work.

For More info:

Thanks very much. It helps a lot!

If the well-known “consensus” problem is formulated as getting from any particular set of FSA initial states to the right “consensual” (i.e. all agree) terminal collective decision, then I am confident that the implicit “lookup” table can be implemented/computed even if the computation has to be distributed over many FSMs -- just because any finite computation can be performed on an FSA provided it’s within its size/speed limits. Of course, signals and states have to be suitably and consistently interpreted as part of the network design. But is this viewpoint misconceived? If it's OK, where can I read about it? It must already have been fully worked out?

NetworkX is also a good tool

There are few algorithms like Kruskal, Prims, Dijkstra which you can apply for the given problem. The best solution though depends on the best, average and worst case.

Hope it helps.

Following...

Dear Anik Islam Abhi,

this is "transfer / transmission time". I would use the following terms:

Transmission over a data link: transmission time; packet / data transmission time; (mean) packet / data transmission time

(mean => variable packet / data length)

When transmission over multiple data links (delays in nodes) I would use the terms: transfer time; packet/data transfer time; (mean) packet/data transfer time

Best regards

Anatol Badach

@Joseph Isabona. I have 10 nodes. Can I also calculate robustness, by calculating the size of largest component for few interested nodes and divide by the total number of nodes in the original network? Is it a right way to calculate robustness?

Why would you want to mess up your nice paired design? Be thankful your PI didn't get involved earlier and have you sample just the control mice pre-treatment, as they're all the same at this time-point.

Keep them separate.

The following resources provide useful information on "Securing the IoT devices (or Internet of Secure things)":

Best

Deeksha

Let's create one, we are kee to join)

Effective gamelab is here:

Hi Dr. Wang,

if you're looking for a way to generate the actual image given a list of interactions, an R package called "bipartite" has been designed to create the visual outputs. They have good documentation that you should be able to follow: https://cran.r-project.org/web/packages/bipartite/bipartite.pdf.

I have also attached my own use of this package (r script and image output) to depict microRNA:mRNA interactions. It has comments throughout, so you should be able to follow it.

@B. Jourquin

Dear Prof. Jourquin, many thanks for proposing these amazing algorithms. Although they could be applied to this problem under some specific considerations, they cannot handle it in general; these algorithms are designed to handle equilibrium systems (ES), while the above problem is an optimal system (OS), which is not equal to ES in general.

Rashid,

try using the Hansen-Flory theory for interaction parameter between solvent and polymers. You may have to think of boundary conditions for the cross-linked network. Start with the uncrosslinked systems and compare the parameters with crosslinked systems. Look into Hansen Solubility Parameter book.

There is some important point that needs to be stressed : when people mention the application of Mermin and Wagner's theorem to 2D crystals, the underlying model is that of a perfectly flat two-dimensional lattice (which is the case is Mermin's article on two dimensional order for example), which is not the case for real graphene sheets in which height fluctuations also play a role.

From a theoretical point of view, two dimensional crystalline order is broken in those systems, but because of the interaction between the phonons and the height fluctuations, which is more subtle than the original argument by Mermin.

Then, it should be stressed that boundary conditions do not play a significant role in this process, even in real materials, at least in the majority of the samples used experimentally. And in particular, crystalline order is indeed broken in real graphene sheets. For example, you can take a look at this paper : J. Meyer, A. Geim, M. Katsnelson, K. Novoselov, T. Booth, and S. Roth, nature letters 446, 60 (2007), in which you can find the diffraction pattern on a graphene sheet.

First, the beam incidence is orthogonal to the sheet, and the diffraction pattern looks very much like what you expect for a two dimensional crystal. But if the orientation of the beam is modified, even a little bit, you see the pseudo-Bragg peaks disappear. In facts, crystalline order is broken by the height fluctuations, which are not seen in the first experiment.

More precisely, the existence of height fluctuations stabilize the in-plane order and destabilize the out of plane order. Therefore you cannot speak about crystalline order in materials like graphene. Some insight about this is discussed in the Nobel's lecture of Novoselov.

Finally, you cannot understand the application of Mermin's argument on real 2D systems without considering the height fluctuations of the material, and with this additional input, the model is more complex.

I hope my comment will be helpful.

It depends on the probability distribution or randomness of signal strength of the packets which is caused by medium of propagation. It also depends on the Signal to noise ratio (SNR). For high SNR, the minimum signal strength should be high.

I think you may try the normrnd(mu,sigma) function to generate a random variable with normal probability distribution and add this to your generated signal strength of packets. Then you may consider a minimum SNR below which the packet will not be considered as delivered. Thanks

"Bipropagation" and "Border Pairs Method" are two modern algorithms much better than Backpropagation. More info:

nano /etc/network/interfaces

iface eth0 inet static address 192.168.1.34 netmask 255.255.255.0 gateway 192.168.1.1

after you should connect with your raspberry with ssh

ssh pi@192.168.1.34

Few more articles

'Greater Chinese'global production networks in the Middle East: the rise of the Jordanian garment industry

S Azmeh, K Nadvi - Development and Change, 2013 - Wiley Online Library

The expansion of ‘Greater Chinese’ capital from mainland China, Hong Kong and Taiwan into other parts of the developing world is increasingly noted. It is especially prominent in sub-Saharan Africa where Greater Chinese investments, firms and workers are found across a wide range of activities, from the extractive commodity sectors, to infrastructure projects, agriculture and manufacturing. One region where Greater Chinese investment is less well studied is the Middle East. This article focuses on the case of Jordan. Jordan has rapidly emerged as an important supplier of apparel to the United States, a consequence of a distinct preferential trade agreement. The article charts the ways in which this preferential trade agreement has stimulated the shifts of Greater Chinese garment manufacturers to Jordan. Using a global production networks (GPN) framework, and drawing on primary and secondary evidence, it assesses the dynamics behind Greater Chinese investments into Jordan; it also explores the ways in which Greater Chinese garment producers operating in Jordan organize their supply chains and are linked into the global garments GPNs. Finally, it considers the relationship between such capital flows and the influx of Asian migrant workers into the Jordanian export garment sector.

The Cases: Korean Vehicle Manufacturers in Europe (The 1990s)

JH Hyun - Korean Automotive Foreign Direct Investment in …, 2003 - Springer

This chapter attempts to trace the activities of Korean VMs in Europe. It is suggested that the internationalisation process of a company should be understood at the corporate level; the company’s specific history and changes in the competitive and regulatory environment (Nilsson et al. 1996). This study, therefore, selected two Korean companies in Europe as particular cases. These companies are HMC and DMC. In 1997, both companies comprised over 70 per cent of the country’s total in terms of production, sales and exports (Table 6.1). KMC is considered as a part of HMC based on the fact that Hyundai merged with KMC in October 1998.

A manufacturing network for generating added value from a geographical distance for the next generation

K Yukawa, T Kawakami - Journal of Machine Engineering, 2011 - yadda.icm.edu.pl

this study, we suggested a manufacturing network for generating added value from a geographical distance in terms of value creation from various management resources. Until today, most researchers focused on the Real Concentration of Production Base, which provides certain manufacturing benefits in these domains. However, "the Virtual Concentration of Production Bases" is realized by overcoming large physical distances and time differences between production bases, and creates greater added value for products. We attempted the simulation of the manufacturing network of creating the added value after having shown the new framework of network analysis in the manufacturing system.

Geography of multinational corporations and functional specialization in Chinese cities

C He, X Xiao - Symphonya, 2011 - search.proquest.com

Dear Nasir, let me advertise a couple of papers I authored, which focus on routing in vehicular sensor networks (or crowd sensing vehicular networks). Maybe you'll find some ideas from the related work parts within them:

"IEEE 802.11p for Cellular Offloading in Vehicular Sensor Networks", Elsevier Computer Communications, Vol. 60, 1 April 2015, Pages 97-108, DOI:10.1016/j.comcom.2015.01.012

"Position Based Routing in Crowd Sensing Vehicular Networks", Elsevier Ad Hoc Networks, DOI:10.1016/j.adhoc.2015.06.005

Hope it helps