Unveiling Scopus AI Revolutionizing Academic Research with Artificial Intelligence

[Music] let's start the recording is now open I will share the presentation because I'm going to start with

few uh few slides maybe not even a few okay that's first

one now let me start the presentation okay so we are going to do this differently sorry once

again here we go a little bit of technology and it's not that easy okay so um the title of our meeting is

anav Ving Copus Revolution uh re revolutionizing academic research with with artificial intelligence and we are going to mostly

talk today about basically scopus AI how it works what is behind the this um dysfunction and how you can use it in

your everyday research so scopus AI is a brand new AI enhanced academic Search tool that helps researchers navigate unfamiliar academic Fields access

accelerates content Discovery and supports greater M multidisciplinary collaboration so scopus AI leverages our highquality curated linked content to

provide users with a comprehensive and intuitive tool to quickly understand new Fields Paving the way for the next generation of AI

research establishing a rapid understanding of complex swiftly evolving research topics without the aid of special IST knowledge can help researchers extend the boundaries of

their work and develop new insights we believe that early career researchers will especially benefit from the tool by bringing together Advanced artificial

intelligence model and the scopus database which includes trusted content from over 25,000 active academic journals and over 7,000 Publishers we

aim to set the industry standard for artificial intelligence enhanced academic search tools and we intend to create an intuitive responsive and intelligent system that improves the research

progress so let's take a deeper look at scopus Ai and the plan for today is few words about the background I would like to

explain you what are the main um requirements in our opinion about using the artificial intelligence introduction to scopus AI so how does it work work

scopus foundations a little bit about scopus and then I will show you how does it works oh I see that my agenda decided to multiply one point but I promise

there will be only one time about scopus foundations so background first of all we have uh before we look at the tool let's start

by looking how seriously The scopus A Team take responsible artificial intelligence development so in 2022 we publ our responsible AI

principles these principles provide high level guidance for anyone at elere working on designing developing and deploying machine driven

insights so we have existing robust policies and processes in place that are applicable to our AI enabled Solutions and we the purpose of the

responsible II principles is to complement this AI is a field that evolves continually and unprecedented speed and scale with the rapid

development and proliferation of gen AI over the past year being a great example so the principles provide a risk based framework drawing on best practices from

within our company and other organizations we take we consider the real world impact of our Solutions on people so we make sure that they are having us as less as possible

hallucinations we take action to prevent the creation of or re ment of unfair bias we can explain how our Solutions work and I think this is very important

in terms of AI that we you will exactly know what you are using and how is it working we create accountability through human oversight we respect privacy and

Champion robust data governance so going to the scopus AI because that's why most of you here are uh here are with me

today um well there are many challenges in research today and we want to start with the big picture so we speak a lot of researchers and know the challenges

they face on daily basis one of the things we hear a lot is that getting up to speed on a new academic topic or

research area is really hard there is um much information and the question is where do we even

start I show that someone raised hand is it is it any problem with the connection Wonder okay I don't I don't see any information that you have any questions

or any problems so maybe that was by accident okay so let's come back to the presentation sorry for that but I I'm I'm not seeing

everything and that's not making it easy okay coming back to the challenges so there is as you know there is a lot

of information when you start a new topic the question was is always where to start which keywords to use then you get a long list of literature that you need to navigate and somehow apply to

your own research there is basically what we know for already quite some time information overload and The Limited search tools we have aren't good enough

even if you understand one domain the silos around disciplines can make collaboration difficult especially if we talk about interdisciplinary research this and all results in suboptimal

optimal productivity and missed opportunities which limits the societal and academic impact of your work so that's the problem we want to solve with

scopus AI and to make it easier for you part of the problem is that that traditional platforms don't give you a focused summ summary on unfamiliar

research Fields so it's hard to quickly grasp New Concept and find potential collaborators but the idea for scopus is to provide actually brief summary of

research topic and make it easy to find an experts in and partners in other disciplines that for example now you work in and if we talk about scopus AI this

is also new search search tool that is powered by generative artificial intelligence that takes peer reviewed research and gives you overviews of new topics and we've been working with the

research Community to refine and upgrade this tool um we were actually working for the last year and I believe that some of you

might be actually part of this work so here are the main feature of scopus AI natural language queries let you post question in a natural conversational

manner summarize with scopus references give you a consistent and trustworthy summary with citation so you can see where the claims come from a reflection

layer ensures appropriate content and nuances uh in summary outputs and our prompting uh informs the user of the confidence of our responses based on the

content we provide and you have also visual representation which I personally very appreciate a map that um is showing the results so you can see all the links

between different subjects and all the links between different um fields that we are covering with the search and in the next few stes we will look at each

of this feature so First Trust uh scopus AI strengths can be broken down into four main pillars and the first pillar is trust trusted

content refers to um the fact that all sources on scopus have been selected by subject matter experts which are from the content section Advisory board so

you can always trust the content we use scopus AI also minimizes houstion by using strict prompts and ensuring all information comes from curated sources

with clear references um it's not also a blackbox it is transparent and it's working so you can always decipher how it reaches

its answers you can see the references used and we also taken a step to minimize the risk of bias in responses so for examples in the queries that are

ex with prejudice or with the stereotypes we make sure that they are fairly uh showing the results the second pillar is community

so Community verification means that the content in scopus AI which comes from scopus have been verified and validated in collaboration with members of the research

community and also the scopus AI is uh was built for users and by users in collaboration with the research community so thousands of research

Librarians academic leaders have been involved in the testing process of scopus the third pillar is enhanced and

accelerated outcomes so scopus AI meant to be to speed up research and scopus search and summaries are designed to save time by providing the

most reliable information related to your query in seconds and because scopus AI is drawing on scopus content in

delivers richer insights the fourth and the final full spectrum understanding uh pillar is

which is really about exploring new and emerging research topics which are of course the most uh valuable ones for the researchers um

sorry a recent survey of scopus users revealed that 40% struggle to learn a new topic due to information overload so scopus a provide students with a concise

snapshot of a research topic in seconds cutting down on reading time even if they have only a rough idea for a topic scopus suggest questions that can take

them in an well unexpected I believe Direction and sorry and now I think the most important part so how does the scopus AI Works

what you can expect from scopus Ai and what are the six step process that that we implemented into the

cus so as you can see unlikely other artificial intelligence search models where it's not clear where the answer are coming from we've tried to make

everything as transparent as possible bringing to this summar is a six-step process developed in accordance with our responsible AI principles that I told

you about at the beginning the first step is of course the curation of high quality scopos content in our database that's something

that we are doing uh already for years when we are making the journal um evaluation then uh the second step is

your query formulation the first step is a ve Vector search and result information a result formation sorry to find the

documents to answer your question in the fourth step the large language model llm um generates a summary that is

grounded in the scopus database and the fifth step provides cited references so you can back up your findings with the

source the six step allows you to explore further with features like the go deeper links or the concept Maps which is the visualization of the uh

topic so in the next few slides we will will go over each of these steps in details and I hope that this will clearly explain you what are

the uh what is the way that scopus AI works so curation of high quality scopus content scopus AI results are based on

the high quality reliable research in the scopus collection and the data is updated their daily and abstracts of all content types are used in summaries

so with scopus AI you can be confident that your summary is based on curated content that has been vetted by experts I know that men most probably

many of you already tried for example using some open source um AI Solutions but please be aware that this open ey solutions they first of all they

definitely they are not using the data from scopus I if you try to ask for example chat gbt to go through the def uh you will Define the question that it

has to go through the scopus database it will tell you that it's not possible so it's mostly uh doing their research for example based on the uh Publications

that are in Google Scholar available which we all know that they cannot be that reliable as we can also based on this search find information for example

from the predatory journals so with with scopus AIS query formulation you define the query so you can alter it depending on the nature of

your question and how much information you have so you can query a simple keyword or a more complex parag paragraph title or abstract there are no

search string requirements so you can search based on whatever information you have and I think that's very important because um knowledge about how to create the

search query is coming with time and experience and there are certain rules for this which are not really well known I believe for all especially early

career researcher so with that one when you can just create a question that that makes it very much easier to start going through

the uh Publications we have and now let's talk about how scopus generates your results so when you submit a query scopus AI starts working on it right

away our advance language model takes your query and turns it into a vector then we do a vector search to identify the most relevant academic files based

on their abstracts our algorithm prioriti prioritizes um their results based on several factors including relevance

recency and citation count so this multi approach ensures that you get only the most uh trustworthy responses to

your query and once we found out the most relevant documents for your query the

large language model uh so the llm for short is prompted to create a summary so this summary aims to answer your question based on the abstracts that

turned up during the vector search and if we don't get any re relevant results you can rest assured that the chance of scopus a producing a fabricated answer

soall hallucination uh is greatly reduced so this is because the model ensures that all answer are based on our academic abstracts and instead it will tell you

that reliable information is not available and provide with you with related promps that might be more helpful for you so this is very important if you ask the question and

the scop has no answer it will tell you that there is no reliable information for this another thing is that large learning model the llm that we are talking here this is something that we

as elere created on our own so this is something that we've been working for years and we are using our knowledge based on the data that we um gathered

over the years in scopus and not only scopus actually one of the great thing about scopus AI is that the summaries are all based on

scopus citations so you can use them with confidence so the llm is directed to back up all of its claims with abstracts and references so you have the

citations you need to check to the work of the LM everything is uh correlated with the references and will fit similarly into all the other

research you do so in short it's summarization you can trust I think the most important in sum in this summary is that you have the references so you

exactly know from which Publications this information is coming from so you can even on your own check this publication and make sure that maybe there is additional information that you

are looking for there and with the go deeper so what I told you that we have this six step and

key keyword graph features you can learn more about your topic and visualize the concepts sorry I think I'm about to

sneeze but I or my nose is making jokes to me today h so the go deeper will suggest further queries based on your initial

one and I think that's that's a nice way to suggest what else it's worth to read and it will help you also to focus

uh on a specific aspect or zoom out to a wider picture or zoom in to a specific ones the keyword graph features provides

a visual overview of the subject area based on your query and the associated keywords with each of our abstracts um the foundational papers

option lists the most high impact scopus papers on any topic and topic experts displ the top researchers links to your query so this gives you a deeper understanding of whatever New Field you

are exploring and now I will go sorry one one more thing so our capabilities so

scop let your access quality insights Faster by using Advanced Technologies and the high quality trusted data and

what you see on the slide is actually the summary of cap capabilities we discussed so far um there are some simple definitions along with a short

explanation of house AI makes use of these tools and functionalities we realize absolutely that this is new and developing area that the research Community has a lot of open questions

about this and that the scolar work demands trp and uh expert Ved sources for for it so that's why we are trying

to explain clearly what we are using in the scopus AI tool how does it work and what are the operations that are happening while you are doing basically

your search and well this is basically the reminder of the responsible eye principles that we uh that we made in

elier to make sure that our Solutions are meeting up the criteria and I think that it's important to remember that and to follow actually

this uh this requirements okay so I'm I'm going now to talk about scopus Foundation this is going to be I hope for most of you

reminder what is in scopus how it's how it's curated what kind of information we are gathering in scopus that's why I have also proposal that um while I will

be talking about the scopus foundations you can add in the chat the question the example of the question that you would like to ask to the scopus AI because

after this I'm going to um yeah move to the scopus A try and show you the live demo maybe first I will show you few things how it works what is there but

then definitely the a live demo so I think it's worth that we are going to have some questions that we would like to ask so what kind of research questions recently you have and you

would like to ask so what you see here it's a snapshot of the content in scopus content is index from over 7,000

Publishers and includes journal and book content as well as over 23 million Open Access uh items cited references date

back to 970 uh we use this content to create over 94 million records over 90 million

uh scopus outter profiles and nearly 100,000 affiliation profiles the content of scopus is uh Global so we are not focusing only on

English Publications it can be also Publications in other languages um and well I told you already that the

content is coming from over 7,000 Publishers it's from over 105 countries and it is in 40 different languages um different type of types of

contents journals conferences books book series and it's updated daily the data in scopus is created enriched and connect to deliver uh insights that

users can trust and I think that the information that it's connected is the very important one because the fact that it's connected making makes it very easy for us to analyze which publication is

coming from which author and which affiliation so which institution uh so no matter where you start from in scopus you can quickly and confidently pinpoint relevant research

identify research experts or analyze institutional research output um I mentioned this already few times I

think before but just to make it very clear the content that is in available in scopus is selected by the scopus content selection and Advisory Board

this is independent Board of subject experts from all over the world there is 17 uh members of this board and they are

chosen for their expertise in specific subject areas many also have have the editorial experience so selection and the the

re-evaluation process this is very rigorous and transparent quality and ethics selection criteria used to evaluate potential titles we are

checking the websites of the journals we are checking their uh ethics we are checking also what is their editorial plan and we also regularly re-evaluate

scopus content which means we are checking whether the journals that are in scopus are not turning into for example predatory journals uh such

situations are can be marked or flaged by the users of scopus but also additionally we are using specific

um specific toools like Rader to get information that some journals are uh changing their behavior and that might

be uh information for us that that the journal is not following the rules for the scopus index journals so if the

journals doesn't uh meet the guidelines then the journal the title is discontinued the Publications that were indexed in scopus they are still there but from the moment the journal is

discontinued it means we don't uh index any more the Publications from this journal so the summary of the of the

what is in scopus this is this slide as I mentioned there is over over 94 million records in it and as you can see

we have different um types journals conferences books and patents also and they are also um representing the

journal's different disciplines and they are divided in between additionally I can tell you that books are mostly covering the scope the social sciences

and humanities okay so now we are here in a scopus AI demo so something that everyone uh was

waiting for and here are the main um features of scopus AI so this is more or less how it will look like after we ask

any questions to scopus AI uh first of all natural language queries let you Poe question in a natural conversational way so that's something we have here we just

asked a question here any question you have on your mind you can try to ask um not as you as I mentioned before not guaranteed that for all the questions you will receive the

answer there is a chance that there is no reliable information for some questions that you are going to ask and then the scusa will inform you about

this um then we have the summary with the scopus uh references so you can see what kind of information was used for

this summary what Publications were uh the base for creating the summary you have this visual uh representation map

and that one I really appreciate because I think that helps a lot to kind of organize the information that you are

getting as I said there is a big information overload right now and very often we don't manage to get all the information ones visual maps are in this

case very helpful to organize the knowledge and try to figure out which information is the most important one uh then we have the foundational papers so information about the most

influential ones the ones with the most high impact scopus papers on the topic and we have also topic experts so you can easily check who is uh who is

leading let's say in the field that you are trying to discover and then we have this nice part which is Go deeper go deeper means that you have

some additional questions that might be relevant to ask if you would like to drill down or a little bit zoom out what you are looking

for um first of all the quality and reliability so I already told you what is the scopus content you can now

imagine that with all this uh efforts we put into making sure the content is reliable we can go through this use certain functionalities and with that

one we are getting the output so the information the summary and the information with the references um when you enter your query

you can use natural language and frame it however you would like so we have a sample question here which is what threet does climate change POs to Coffee

production and this is a question that is being analyzed it will go through the scopus AI Vector search which interprets the intent and meaning of the query then

it will look at scopus abstract published since 2014 H to find the ones that best answer the question and then the large language model using very strict prompt

engineering generates a response that is based on the scopus content with references so you know where everything

is sourced from and at the end of this process you get a summary with academic references so you don't have to waste

time for fruitless searches and doing a lot of searches and trying also to read all the literature that you are getting and I told you about the map I'm

I can imagine you already feel that I'm a huge fan of this map so we get a quick snapshot of an answer to your question and we've gone further and also provide um

a concept map feature which takes the keywords of those abstracts and provides a let's say very general view on the topic so if you are trying to see how

the concept fit together or EX for new vocabulary associated with a particular subject well this is definitely great place to go and then we have the

reflection layer so it ensures appropriate content and new on is some uh is in summary outputs uh we have direct responses are

made when the confidence in the source uh material is high we have infert responses that are made when confidence in Source material is medium and we also

have no response if there is no confidence in Source material or the source material confidence is very very low uh users who

requires more detail can access and expand version of an any scopus AI summary so this feature increases the number of perspective on a given user query to provide a more comprehensive

and in-depth response and you can also look for the most influential papers so you can go through this you can check what what are

the ones that are received the highest number of uh citations and check just what's the most important in this topic I think all of us when we discover

especially a new topic we are trying to find the experts the ones that are publishing uh in this topic the ones that are getting high number of citations and they have high age index

and we start to follow them because we believe that if we are having a an expert we try to follow them and see what kind of research they are doing

currently where the research goes and this is something that also scopus AI uh includes so it's giving a list of the topic

experts and deeper query exploration well we our most popular feature so far is actually dysfunction it suggests further lines of inquiry that you can

persuade to learn more about a subject that you don't know very well so you can zoom in zoom out and continue exploring and going down the rabbit hole exploring

new ideas in the topic space and building your knowledge over time so so that's the functionality that definitely helps to look also on the topic from the

different angle because we can come with one idea of the topic but it might be necessary in our research to try to look at from many angles and definitely with

this questions you can try to do this exercise quite easily so I think that this is on my end

that's it from the slides so now I will try to move to the solution itself here is I'm going to be back in a

minute just give me a second I had to change the screens but now here it is

okay so we are back let me just so first of all to get access you need to go to the scopus decom website as this is for you a trial Please be

aware that you need to do this once you are in the range of the IP addresses of your University that's going to be very important

and once you login in the IP addresses you will see this top here which is scopus AI you will see it's a new new

thing and here it goes as you can see it's quite easy uh quite easy uh um interface there is not many things

to do at the very beginning here so we just need to type in the question that we have and I'm just looking now into the chat whether we have any suggestion

for okay let's see if I'm newest articles I'm not an expert in this field so that that might not be easy for me

but let's see if I'm able to do this so the question is newest articles about change Point detection in functional data

fields we click enter and here is the summary so we have based on the newest articles change Point detection in function idate has been recent

advancement and applications in various domains and we have here the information about this so the the key Insight let's

say then we can go to the expanded summary and then I believe it will be giving us more information with the information about

the practical application in reward scenarios and of course as I mentioned for each summary we can change the check the references one thing was that once I was expanding this you can see here the

numbers so if I click on two I will immediately see what kind of um what kind of publication is assigned to this

but we can also view whole list of the references so here are the information about the references itself and you have

full list for the expanded then we have the concept map which is showing us I believe the idea

which is uh mentioned in the summary we can also check the top top topic experts sorry so the list of the all researchers

that are uh showing up in this particular search and it's showing us the number of the sitations under AG

index and then we can go to the um deeper questions you very a strange

point and by clicking any of these questions you can see that we can um we can go let's say deeper and talk more with the artificial intelligence about

what is the summary what kind of information we have and go more and more into the topic

so on on the right side because I went very fast through this except of the references skill we have also here the find found f sorry found dential

documents which means that these are the most uh cited and influential documents in scopus in this particular field in which we ask the question so we have

here information about the optim detection information about what's uh which Publications are influential and then we have also related documents so

information about the additional documents that might be helpful for you to find some information about the topic

um let's start with another question this time we will try with something that I'm definitely an much more an expert so I would like to ask the

question what is antibiotic resistance which

bacteria are the most resistance for the antibiotics because I can see that for

me presenting with a feeli that I I'm not really aware of it's a little bit difficult so here is this so now we have

information about the antibiotic resistance we have the summary what is it we have definition of it and then we have information about some most resistant bacteria what is the mechanism

for the antibiotic resistance and Global impact of the strategies and I think that one is also very important in terms of what's the

influence of what we are talking that's not a nice uh information that we cannot see see the expanded one okay so the expanded one is going to give us more

references and more detailed information about the question that I asked this means that we can easily and very fast I believe learn about what's the

antibiotic resistance even if you are not an expert in the field because by reading this I believe it's quite under understandable also for the person that

is not an expert um we have information about the pathogens we have information how this is addressed and managed what kind of uh

what kind of options we have then we have the concept map which I really like because I tried this question before I was curious antibiotic resistance was

part of my um research work before I joined the El so as you can imagine it's fun sometimes um update your knowledge um from the

field that you used to work uh you can see here the factors the mechanism you can see what kind of uh factors there are here whether it's

genetic transformation or environmental factors and then we have information of course about topic experts so we can see who really is working on the topic and

how it goes uh and then we have the deeper questions which

I believe are quite um quite relevant especially this one how does the misuse of antibiotics contribute to the development of

antibiotic resistance and then you are getting additional questions and you can dive deeper and deeper I think that with this one if I would be the one that is

absolutely restarting the subject of antibiotic resistant that would be very useful for me but also for the person that is not let's say that much updated

anymore in the topic it was quite interesting to see what new happened and what changed in the research over the last few years then we have of course the

references foundational documents as I mentioned before and all this information as you could see it's just by clicking one uh the button so that's

how the scopi works I see that there are few questions so I will try to go uh through them and and answer them so the first one is

how AI how AI academic Search tool could help during the peer review of

research well it definitely can but um this is another topic for another discussion I'm going to say that right

now there is so many uh AI solutions that are helping helping with research especially the ones that are helping with writing articles with doing the

biographic review we' looking for the answers so there is quite a lot of available Solutions so far I didn't hear about anything that helps with peer

review and I can tell you that we don't in elav we don't so far use any tool for the peer review but I believe this is so

fast um it's expanding so fast that definitely soon we will see also this there the other question

is uh so if I understand correctly the tool is limited to the scopus database yes the to to is limited to the scopus

database mainly for the reason that this is a curated database where we know exactly what kind of Publications

are there and that's the reason why we see a huge Advance advantage of using aurated data instead of the data that could for example that is stored in

Google Scholar but we don't have that much influence on what kind of Publications are there and there is a high risk that when we would use any AI

Solution on the Google Scholar um Publications for example we will get the answer based on the predatory journals which means that this answer wouldn't be

trusted and it could be basically giving you wrong answers so that's why the scopus AI solution is limited to scopus AI

database and we don't plan to go beyond the scopus database as we consider it just risky uh to give the researchers information that

is not checked and not trusted and does the members of the scopus publicly published ethics code if

yes then does the we don't have any uh scopus ethics code the ethics the ethics statement is for the journals so it means that we

have so it means that we have we are checking whether each Journal has its own ethic um requirements in terms of

publishing we're checking what the journal is going to do if there will be plug jism what they're going to do if we

have some kind of um using not their own research data without citing it now the huge question about ethics ethics

statement for the journalist whether they actually consider that um researchers can use artificial intelligence during writing the article

what are they going to do if they actually use the artificial intelligence and we can prove it whether they are going to retract the article or are they fine with it are they approving this I

mean there is so many things that actually AI opened in terms of the ethics and ethic statement that we have for the journals but um yeah we don't

have the scopus ethic because that's that's not the part of that we worked we are just checking whether the journals that are indexed in scopus are

specifically using having any ethic uh statement okay so the question is another question is that why there is so little references so the the amount of

references is exactly referring to the summary so basically the summary is written based on this specific specific references it's not it's not showing you

all the Publications that are in the in the scope of scopus in this subject that one you can do with the that one you can do sorry with the standard document search then you will get absolutely all

the Publications um all the Publications from scopus and you will definitely get lot of lot of U Publications the purpose

of this solution is to limit them amount of the information that the researcher is getting to make it like less to make it easier to make it faster to go

through the references and in case you need some more you can always use the go deeper so go deeper into the information that is

there um you show the references um so no the you show the search of references only from 2014 how to expand

the scope including Aller sources for now the scopus AI Works only on the recent research and with uh with that one we mean from for the Publications

from 2014 to now so we are only checking the 10 years and it's not possible currently to expand the measures uh of

the sorry it's not possible to expand the date uh the time range that we are exploring uh um okay so what measures are in place to

avoid bias in recommendations scopus AI gies for example with outs from Eastern Europe Africa China would not be recommended based on preference to more

reliable Western outs where we don't even consider in our search uh what is the origin of the authors we are just

looking on their citations and uh what kind of Publications they have so there is absolutely no possibility for any bias in this we are using only the

metrics and I believe that's how we avoid the uh the the bias because for us it's about the data it's about the

metric it's not about who is coming from where and and um the last question is will you send the curse attendance

certificates for us well no this is this is definitely not a certificated CSE so we are not I'm not going to send any

certificates to you what I'm going to do uh is definitely I'm going to uh send to you the recording the link to the recording

in case you would like to review again the the presentation and check the details and at the end I would like to ask you one one question I actually

prepared for you the survey so this is a question that uh came to actually to my mind now the trial starts this is the first day so I believe some of you will

start to use the scopus AI and my question is actually would you like to have one more meeting with the expert uh so this is going to be a Q&A

session with an expert and I'm going to basically decide whether it's needed or not based on your responses I think that's the the mo the fair the most Fair

Way of uh checking whether it's uh something that is important for you and if the decision is yes then together with the link to the recording I would I'm going to also share with you the

link to the next webinar so you can easily um yeah register to it and see see with with me and my colleague

who basically responsible for U building scopus AI on 8th of April yes so from my end that's everything uh thank you very much to all

of you for participating today I hope that you will enjoy and you will find some useful insights during using the scopus

AI and um well I wish you a pleasant day and I hope to see you soon e e e

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