#data mining solutions

[itesservices]

Discover the key advantages of collaborating with a healthcare data mining company. Enhance decision-making, improve patient outcomes, and streamline operational efficiency. Leverage data analytics to uncover trends, reduce costs, and maintain compliance with regulations. Partnering with experts in data mining ensures accurate insights, driving innovation and fostering a culture of continuous improvement in healthcare services. Embrace the future of healthcare with strategic data partnerships. 

[appletechx]

Revealing Unseen Insights: An In-Depth Manual on Data Analytics Tools and Techniques

Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to gain insights that can be used to make better decisions. It is a powerful tool that can be used to improve businesses, organizations, and even our own lives.

There are many different data analytics tools and techniques available, each with its own strengths and weaknesses. Some of the most common tools include:

Data visualization: This involves creating charts, graphs, and other visual representations of data to make it easier to understand.

Statistical analysis: This involves using statistical methods to identify patterns and trends in data.

Machine learning: This involves using algorithms to learn from data and make predictions.

Natural language processing: This involves using algorithms to analyze text data.

The best data analytics tool or technique for a particular situation will depend on the specific goals of the analysis. For example, if you are trying to identify patterns in customer behavior, you might use data visualization or statistical analysis. If you are trying to build a model to predict future sales, you might use machine learning.

In this blog post, we will provide an in-depth overview of the most common data analytics tools and techniques. We will also discuss the steps involved in conducting a data analytics project, from data collection to interpretation.

The Steps of a Data Analytics Project

A data analytics project typically follows these steps:

Define the problem. What are you trying to achieve with your data analysis? What are your specific goals?

Collect the data. This may involve gathering data from internal sources, such as customer records or sales data, or from external sources, such as social media data or government datasets.

Clean the data. This involves removing any errors or inconsistencies in the data.

Analyze the data. This is where you use the data analytics tools and techniques to identify patterns and trends.

Interpret the results. This involves making sense of the findings and drawing conclusions.

Communicate the results. This involves sharing your findings with the stakeholders who need to know.

Data Analytics Tools and Techniques

Here is a brief overview of some of the most common data analytics tools and techniques:

Data visualization: This involves creating charts, graphs, and other visual representations of data to make it easier to understand. Some popular data visualization tools include Tableau, QlikView, and Microsoft Power BI.

Statistical analysis: This involves using statistical methods to identify patterns and trends in data. Some popular statistical analysis tools include SPSS, SAS, and R.

Machine learning: This involves using algorithms to learn from data and make predictions. Some popular machine learning tools include TensorFlow, scikit-learn, and Keras.

Natural language processing: This involves using algorithms to analyze text data. Some popular natural language processing tools include spaCy, NLTK, and Stanford CoreNLP.

Conclusion

Data analytics is a powerful tool that can be used to reveal unseen insights. By understanding the different tools and techniques available, you can choose the right ones for your specific needs. And by following the steps involved in a data analytics project, you can ensure that your analysis is successful.

I hope this blog post has been helpful. If you have any questions, please feel free to leave a comment below.

[suntec-data]

Data mining is a process used to extract useful information from raw and scattered data to develop more effective marketing strategies. This helps them seamlessly utilize their data to drive valuable insights that largely contribute to increasing customer loyalty, uncovering hidden profitability and reducing client churn rate. Let us look at how data mining techniques benefit businesses.

[julienbakerstreet]

Ranking Sherlock Holmes Adaptations by the Quality of Their Dressing Gowns

First, my qualifications: I'm a flamboyant fashion-forward femme who frequently wears dressing gowns.

Rubric: I am scoring based on color, pattern, textural intrigue, garment construction, and fit. In cases where there are multiple dressing gowns per adaptation, I picked my favorite one.

#12 The Seven-Percent Solution (1976)

I hate this one. It's so beige, and the corded details + drop waist ultimately make it look like a monk's tunic. The only redeeming value I can find in this is the slight angled detail with the cording on the sleeves.

#11 Mr. Holmes (2015)

Similar to the last robe with some slight improvements. For one, it has pockets! The pockets have a corded decorative applique, and if you zoom in on a higher-def image you can see that the fabric has an interesting textured weave. I could definitely see it styled well. This robe is ugly, too thin to keep him warm, and fits worse than a burlap sack, but this Holmes is retired and deserves to put comfort and practicality first.

#10 Granada (1984)

This dressing gown is BAD!!! Before you accuse me of being biased against mouse-colored dressing gowns (I am) let me assure you that color is not my only issue with this dressing gown. It commits the ultimate fashion sin- boring. The texture looks decidedly un-cozy. I even hate the construction! There's no belt, or even belt loops, and the pocket is sewn onto the outside of the gown! Nothing wrong with patch pockets per se, but on this robe it looks shabby. This is made all the more painful by the fact that Watson wears multiple colorful and well-textured dressing gowns in this show. I love Granada, but I can't excuse this.

#9 Cushing Holmes (1968)

I really wish I liked this dressing gown more, because I think that Cushing is one of the best-dressed Holmeses we've ever seen. But I simply cannot get behind this. I applaud the bold use of color and how on theme this gown is for The Adventure of the Blue Carbuncle, but the red cording and blue looks odd together. In other shots, you can see buttons, but I think a dressing gown should have a nice belt, and I think the buttons are just a bit too formal for what should be a comfortable piece. I love that this is a Holmes who's willing to take a fashion risk, but in this case it did not pay off. 

#8 Soviet Holmes (1979)

While this dressing gown is boring, the fabric looks nice and heavy, perfect for curling up cozily in front of the fire on a cold night. Contrary to the Granada plain brown dressing gown, this one has a belt and pockets sewn into the gown. There’s nothing interesting about this gown, but it isn't offensive.

#7 Ritchie Holmes (2009)

Agh! This dressing gown is in tatters! As befits action-hero Holmes, I suppose. It might deserve the lowest spot on the list for its condition, but looking beyond that, I really enjoy the colors and the paisley pattern. It reminds me of a nice Persian rug. The hints of blue set off the reds and oranges nicely, and at one point it must have been a very nice robe. I like that the state of the robe tells us something about the personality of the wearer, but points are deducted because the texture looks a tad rough and it's in an unbelievably rough state.

#6 Basil of Baker Street (1986)

Now we're getting to the good stuff! The magenta dressing gown is set off nicely by the black cuffs, collar, and belt. Extra points for styling it with a green cravat, and because it nearly matches Dr. Dawson's vest. Great character design, and it makes Basil look like a snazzy little rodent.

#5 Rathbone Holmes (1939)

It's harder to judge in black and white, but I really like this dressing gown! The fabric looks like a thick cotton velvet, and the cording gives it a lovely contrast. It's distinguished, but it still manages to look comfortable for smoking a pipe next to Watson.

#4 The Private Life of Sherlock Holmes (1970)

Now this is nice! The velvet is very shiny, slightly green, and I love the quilted collar and pocket. However, upon further inspection, it's not quite a dressing gown, but more like a long smoking jacket, for which it loses points. Still, it's the closest he comes to wearing a dressing gown and perfect for this urbane and fashionable Holmes.

#3 Enola Holmes (2020)

Dare I say fabulous? I love the cerulean on this one! The fabric looks like a soft silk, which isn't exactly the warmest, but very comfortable. The pattern on the collar is very intricate as well. It's definitely not the dressing gown I would pick for a classic Holmes, but it suits this untraditional Holmes perfectly.

#2 William Gillette (1899)

For the man who popularized the deerstalker/Inverness combo, he can certainly rock a dressing gown. Definitely the most authentic on the list (this picture was taken in 1916), I love the quilted collar, pockets, and cuffs. The silky fabric and decorative pattern make for a very stylish sleuth. I particularly enjoy the shape of the pockets and cuffs. Points deducted for an awkward fit and the lack of a belt.

#1 Star Trek: The Next Generation (1988)

"But this isn't an adaptation, it's just an episode of Star Trek!" I don't care! It counts in my heart. And Data has my favorite Holmes dressing gown. Let's break it down. This looks like a velvet gown with a classically Victorian damask pattern. The velvet texture contrasts really well with the quilted silk collar. The twisted cord belt even has a tassel at the end! And to top it off, it's fully lined with bright red silk. It looks comfortable for lounging in, the fabric has a nice heft without being stiff, and the aesthetic is perfect. This is, to me, the ultimate Holmes dressing gown.

Let me know which ones I missed and what your favorite dressing gowns are!

[sjainventuresltd]

Introduction To Data Mining Solutions for Business Need: Concepts and Techniques

 Introduction to data mining solutions for solving business problems has been on the rise over the past decade and shows no signs of slowing down. An important part of this development process involves introducing yourself to the vast field of data mining solutions, including its potential use cases, concepts, and the techniques that make it all work together seamlessly.

 Businesses are collecting more and more data daily, and how to process it and make business decisions based on it can be challenging. Data mining tools and techniques can help you find the information your business needs to function effectively in today’s market, saving both time and money.

 There are many misconceptions about data mining, often described as the sexiest job of the 21st century. In reality, it is simply a problem-solving process that can be applied to most business needs. This guide will provide an introduction to concepts and techniques in data mining by examining how we may use this method in various business needs such as predictive modeling, forecasting, and customer relationship management. Through this post, We hope to provide insights into how data mining can solve problems in our everyday life with reference to the different techniques.

 Introduction to Data Mining Solutions: Concepts

 Data mining is the process of extracting information from large amounts of data to find meaningful patterns, unknown correlations, and/or groups of interest. The information discovered can be used to predict business trends, make well-informed decisions, optimize business processes, and gain valuable knowledge about one’s clients or customers.

Read: Benefits of Data Mining and Machine Learning in Cybersecurity

Do you have a business that needs to collect and analyze large amounts of data in order to make informed decisions? If so, you're in luck! There are many data mining solutions available that can help you extract the information you need.

 Data mining (also known as data or knowledge discovery) is about extracting useful information from huge amounts of data that are relevant to your business needs and goals, whether you’re trying to make better sales predictions, discover best practices in your industry, or spot patterns that are otherwise invisible to the naked eye.

 Data mining can be used by any business and in any industry to support decision-making and strategic analysis by offering insights and new perspectives into your data sets. It’s vital to get the most out of your data when developing and implementing strategies for your business – here’s how it works!

 Introduction To Data Mining Solutions: Techniques

 Data mining allows you to analyze large amounts of data to find trends and patterns that might otherwise go unnoticed. Most companies use data mining as part of their business intelligence strategy to make better decisions, increase sales, and improve the quality of products and services offered to customers. If you’re looking to start data mining or build upon your current approach, the following techniques will help you get started.

 Advantages of Analyzing Bigger Datasets

Every business needs to make the most of the data that is available to them, in order to be more proactive in their day-to-day affairs. By employing a variety of analytical tools and techniques, you can ensure that all aspects of your business are handled as efficiently as possible. Knowing how to analyze bigger datasets is also an essential skill set when it comes to gathering insights from research studies which can sometimes have hundreds or thousands of participants.

 Finding Patterns in the New World Order

It's difficult to ignore the influence of data-driven organizations in today's world. Data mining is more prevalent than ever in modern businesses, but it can be an incredibly complicated and daunting process to tackle without proper training. An introduction on how to use a data mining software like Matlab as well as touch on concepts like text clustering, frequency distributions, etc. We hope that this guide helps readers better understand how they can explore their new world order!

Also Read: What Is Cloud Computing: Beginner’s Guide To Cloud Computing 

Now, Let's Do It

No matter the industry, competition is fierce and there are always innovative new competitors breathing down your neck. And with this rapid expansion of data available - capturing market share will be tougher than ever. Furthermore, data mining solutions allows you to analyze large amounts of data to find trends and patterns that might otherwise go unnoticed.

 Most companies use data mining as part of their business intelligence strategy to make better decisions, increase sales, and improve the quality of products and services offered to customers. If you’re looking to start data mining or build upon your current approach, this is the right time.

 When it comes to finding the best solution for your data mining needs, you need to be sure you're looking at the right options. There are a lot of different data mining solutions out there, so it's important to choose the one that's right for your needs.

 Sjain Ventures offering data mining services is an emerging bunch of bustling data enthusiasts. We have answers for all of your data requirements and are experts in handling data. At a very affordable price, we provide all services connected to data mining, including data processing, data append, mail linking, information scrape, phone appending, and CRM cleanup. Contact us to hand over your data mining development requirements, and we'll take care of the rest.

[taviokapudding]

*sighs deeply* I didn't do anything & I can't even leave

FREE ME

[celepeace]

Last call for homebrewing your 3DS!! I used this guide, which adapts to what your current software version is + your region (the method differs based on these things). It's very easy, all you need is 30 minutes to an hour of free time, a basic understanding of how file explorers work, an internet connection, and an SD card reader if your computer doesn't have an SD slot.

After today, it may become harder to homebrew your 3DS. It will probably not be impossible to do so after the eshop closes, but methods will likely change and there is no guarantee there will be another way available anytime soon.

[myzacoza]

Welo – Using technology to enable human healthcare connections

In the world of entrepreneurship, the most remarkable stories often begin with a personal challenge. For Zanele Matome, Founder and CEO of Welo, that challenge is the lack of affordable access to healthcare services for an overwhelming majority of South Africans. Having spent 15 years in the construction and mining sectors, Matome saw firsthand the gaps in healthcare provision and the immense…

[salesmarkglobal]

Why should one invest in data mining and data cleansing?

 Reflect on the fact that sales reps receive a plethora of unstructured data on information about target accounts, yet a significant part is not linked to recent and accurate statistics. Not attending to this disequilibrium will entail the use of wrong strategies and or inefficiency of resources in production. Data mining discovers very important trends and patterns and data cleansing guarantees that extraordinary information following the collected data is current and precise.  ABM is the creation of value, and investing in data mining and cleansing is an investment in the reliability of making sure that it does work well. Now it assists in ensuring that you are firing at the right objectives on the right mark. Also, it allows creating content which is more specific and might be interesting to the targeted audience.

[navigatingthefutureofadas]

Enhancing Safety in the Mining Industry: The Role of Advanced Telematics Solutions

The mining industry faces significant challenges in ensuring the safety of its workforce amidst hazardous working conditions and complex operational environments. Despite stringent safety regulations and protocols, accidents and incidents continue to pose risks to personnel and assets. In this context, the adoption of advanced telematics solutions emerges as a critical strategy to enhance safety standards and mitigate risks within mining operations. 

In this article, we will discuss the role of telematics technology, its key features, applications, and benefits in the mining industry.

Understanding the Role of Telematics Technology in the Mining Industry

Telematics systems employ a combination of hardware and software components to collect, transmit, and analyse data from vehicles and assets in real-time. The GPS tracking devices installed in vehicles capture location coordinates, speed, and route information, which is transmitted to a centralised platform via cellular or satellite networks. In addition, onboard sensors and diagnostics systems monitor vehicle performance metrics such as engine health, fuel consumption, and maintenance status. 

This data is then processed and analysed using advanced algorithms and fleet telematic analytics tools to generate actionable insights and performance reports for fleet managers and stakeholders. By providing visibility into key operational parameters and safety metrics, mining telematics systems enable mining companies to proactively identify risks, implement preventive measures, and optimise resource allocation to enhance safety and efficiency across their operations.

Key Features of Telematics Fleet Management System for Mining Operations

Live Location Tracking: Track the real-time location of vehicles and equipment, enabling better fleet management and resource allocation.

Rash Driving Alerts: Receive alerts for instances of aggressive or unsafe driving behaviour, allowing for immediate intervention and corrective action.

Accident Detection: Detect accidents or collisions as they occur, enabling rapid response and assistance to affected personnel.

Autonomous Emergency Braking (AEB): Automatically apply brakes in emergency situations to prevent or mitigate collisions, enhancing overall safety on the road.

Tailgating Detection: Identify instances of tailgating, a common cause of accidents, and alert drivers to maintain safe following distances.

Overspeeding Monitoring: Monitor vehicle speed in real-time and receive alerts for instances of speeding, helping to prevent accidents and ensure compliance with safety regulations.

Drowsiness Detection: Detects signs of driver drowsiness or fatigue and provides timely alerts to prevent accidents caused by impaired alertness.

Distraction Monitoring: Monitor driver attentiveness and detect distractions such as mobile phone usage or inattentiveness, reducing the risk of accidents due to driver distraction.

Application of Telematics in the Mining Industry

Enhanced Driving Behavior Insights

Gain comprehensive insights into driving behaviour, empowering mining companies to identify and address unsafe practices effectively. By analysing factors such as speed, acceleration, and braking, organisations can develop targeted strategies to promote safer driving habits among their workforce.

Access to Incident Videos 

Access to incident videos in real-time facilitates prompt response and investigation of accidents or incidents within mining operations. This capability enhances safety protocols by enabling timely review and analysis, ultimately contributing to the development of more robust risk management strategies.

Fleet Performance Optimization

Utilise data analytics to optimise fleet performance and efficiency in mining operations. By leveraging insights derived from telemetric fleet management systems, organisations can identify areas of inefficiency and implement corrective measures to reduce operational costs and enhance productivity across their fleet.

Benefits of Using Telematics in Mining Operations

Telematics technology finds various benefits in mining operations, contributing to enhanced safety, efficiency, and productivity. Some key benefits include:

Fleet Management: Telematics systems enable real-time vehicle tracking and equipment, allowing managers to monitor their location, speed, and status. This ensures efficient fleet management, optimal asset utilisation, and timely maintenance scheduling.

Remote Monitoring: Telematics enables remote monitoring of equipment performance and health, including engine diagnostics, fuel consumption, and maintenance alerts. This proactive approach helps prevent unexpected breakdowns, reduces downtime, and extends equipment lifespan.

Safety Enhancement: Integration with fatigue monitoring systems helps identify signs of driver fatigue, allowing for timely intervention to prevent accidents caused by drowsiness.

Data-Driven Decision-Making:  Historical performance data and trend analysis provide valuable insights for long-term planning and strategic decision-making, driving continuous improvement initiatives.

Scalability: Telematics solutions are scalable and customizable to meet the evolving needs of mining operations, accommodating changes in fleet size, geographic expansion, and technological advancements.

Conclusion

To sum up, investing in mining telematics solutions is important for safeguarding worker wellbeing and enhancing operational efficiency in the mining industry. By leveraging telematics technology, mining companies can proactively identify and mitigate safety risks, optimise fleet performance, and ensure regulatory compliance.

[itesservices]

Discover how AI technologies are revolutionizing data mining companies. From automated processes to enhanced predictive analytics, AI is driving significant changes in how data is analyzed and utilized. This transformation is not just about efficiency but also about uncovering deeper insights and fostering innovation. Dive into the comprehensive analysis on how AI is reshaping the landscape of data mining, bringing new opportunities and challenges to the forefront of this evolving field. 

[orientalsolutions]

Visit the Oriental Solutions blog page to explore a dynamic company dedicated to providing end-to-end solutions for information processing and document management needs

[krazytechnews]

How Can Cloud Computing Help To Solve Analytical Workloads?

Businesses today use cloud computing solutions to address the challenges posed by growing data volumes, complex analytical workloads, and the need for real-time insights. Cloud computing has emerged as a powerful solution because it offers scalability, flexibility, and cost-effectiveness. It helps refine process optimization, logistics improvement, and talent attraction. The cloud can help in…

[outsourced-back-office]

Contact us - Outsource your business processes to us

[reasonsforhope]

Green energy is in its heyday. 

Renewable energy sources now account for 22% of the nation’s electricity, and solar has skyrocketed eight times over in the last decade. This spring in California, wind, water, and solar power energy sources exceeded expectations, accounting for an average of 61.5 percent of the state's electricity demand across 52 days. 

But green energy has a lithium problem. Lithium batteries control more than 90% of the global grid battery storage market. 

That’s not just cell phones, laptops, electric toothbrushes, and tools. Scooters, e-bikes, hybrids, and electric vehicles all rely on rechargeable lithium batteries to get going. 

Fortunately, this past week, Natron Energy launched its first-ever commercial-scale production of sodium-ion batteries in the U.S. 

“Sodium-ion batteries offer a unique alternative to lithium-ion, with higher power, faster recharge, longer lifecycle and a completely safe and stable chemistry,” said Colin Wessells — Natron Founder and Co-CEO — at the kick-off event in Michigan. 

The new sodium-ion batteries charge and discharge at rates 10 times faster than lithium-ion, with an estimated lifespan of 50,000 cycles.

Wessells said that using sodium as a primary mineral alternative eliminates industry-wide issues of worker negligence, geopolitical disruption, and the “questionable environmental impacts” inextricably linked to lithium mining. 

“The electrification of our economy is dependent on the development and production of new, innovative energy storage solutions,” Wessells said. 

Why are sodium batteries a better alternative to lithium?

The birth and death cycle of lithium is shadowed in environmental destruction. The process of extracting lithium pollutes the water, air, and soil, and when it’s eventually discarded, the flammable batteries are prone to bursting into flames and burning out in landfills. 

There’s also a human cost. Lithium-ion materials like cobalt and nickel are not only harder to source and procure, but their supply chains are also overwhelmingly attributed to hazardous working conditions and child labor law violations. 

Sodium, on the other hand, is estimated to be 1,000 times more abundant in the earth’s crust than lithium. 

“Unlike lithium, sodium can be produced from an abundant material: salt,” engineer Casey Crownhart wrote ​​in the MIT Technology Review. “Because the raw ingredients are cheap and widely available, there’s potential for sodium-ion batteries to be significantly less expensive than their lithium-ion counterparts if more companies start making more of them.”

What will these batteries be used for?

Right now, Natron has its focus set on AI models and data storage centers, which consume hefty amounts of energy. In 2023, the MIT Technology Review reported that one AI model can emit more than 626,00 pounds of carbon dioxide equivalent. 

“We expect our battery solutions will be used to power the explosive growth in data centers used for Artificial Intelligence,” said Wendell Brooks, co-CEO of Natron. 

“With the start of commercial-scale production here in Michigan, we are well-positioned to capitalize on the growing demand for efficient, safe, and reliable battery energy storage.”

The fast-charging energy alternative also has limitless potential on a consumer level, and Natron is eying telecommunications and EV fast-charging once it begins servicing AI data storage centers in June. 

On a larger scale, sodium-ion batteries could radically change the manufacturing and production sectors — from housing energy to lower electricity costs in warehouses, to charging backup stations and powering electric vehicles, trucks, forklifts, and so on. 

“I founded Natron because we saw climate change as the defining problem of our time,” Wessells said. “We believe batteries have a role to play.”

-via GoodGoodGood, May 3, 2024

--

Note: I wanted to make sure this was legit (scientifically and in general), and I'm happy to report that it really is! x, x, x, x

[zhongrin]

honey, can you.… commit a crime for me?

© zhongrin | 2024  ✼  no repost・translations・plagiarism of any kind・ai data mining. rebloggers get a free cup of tea ♡

✼ characters ┈ zhongli, childe, kaeya, diluc, al haitham, tighnari, wriothesley, neuvillette

✼ tags ┈ gn!reader, crack, fluff

✼ a/n ┈ what even are these hsdlkfjlskjdf kinda wanna create a yandere version of this /is bonked

ꜱᴘᴇᴄɪᴀʟ ᴍᴇɴᴜ (ꜱᴇʀɪᴇꜱ ᴍᴀꜱᴛᴇʀʟɪꜱᴛ) ✼ ᴏᴜʀ ꜰᴜʟʟ ᴍᴇɴᴜ (ᴍᴀꜱᴛᴇʀʟɪꜱᴛ)  ✼ ᴍᴇᴍʙᴇʀꜱʜɪᴘ (ᴛᴀɢʟɪꜱᴛ)

zhongli immediately tries to find the core of the problem. “what is it that troubles you, dearest? perhaps we can find a more peaceful solution? violence is not always the answer. this, i know from all the 6000 years i’ve lived—” aaaand there he goes on his lecture. if your goal was to get him to give you a preaching of a lifetime, well, congratulations, you’ve done it. sit back and relax, brew some tea, maybe get some snacks, because you’ll be here for a while.

al haitham, surprisingly, actually humors you. only because he knows you were teasing him and this is his way of teasing you back, but you’ll probably end up staring at him in confusion because he looks dead serious while doing so. “what an interesting offer. i’ll have to ask you to submit a formal proposal through your special submission channel. make sure you have several backup plans in case of emergencies. have it on my desk by tomorrow afternoon, the latest.”

wriothesley straight up denies you with a roll of his eyes. he knows you’re joking, and honestly speaking he would stain his hands with blood for you, but as much as he loves you, he really didn’t want you to end up at the fortress while under a sentence. although theoretically he could pull some strings to make sure you spent your sentence peacefully if that scenario ever happened, the fact was that such records will follow you for the rest of your life, and he wants you to stay in the sunlight. “what did i always tell you? don’t break the law... but if you really want to, how about you try to steal my breath away with a kiss?”

neuvillette stops writing his reports immediately, eyes wide and mouth slightly open. “my dear, come sit, let us converse.” he holds your hand and proceeds to rope you into a heart-to-heart talk. are you being harassed by someone? are you being threatened? the cup of water rippled erratically as he waited for you to answer those particular questions. is there something he could do to help that wouldn’t make either of you getting dragged into a court trial? can he— …. yeah, someone save him, he totally thinks that you’re serious.

childe agrees immediately. is that even a question? “sure! who do you need me to kill?” he asks, with his signature wide boyish grin plastered onto his face and his hand twitching to reach for his hydro blade. look. it’s your ajax. your (man)childe. your tartaglia. i bet you liked his murderous tendencies anyway. are you even surprised?

kaeya makes it a point to gasp and looking like a maiden who caught the sight of two lovers rendezvousing in the garden. when he notices you not buying his act, however, he laughs and switches gear into a teasing smile, “oh? was me stealing your heart not enough?”

diluc stares at you blankly, one eyebrow raised, his voice monotonous — if you hadn’t known how to read his minuscule reactions, you would have missed the spark of mirth dancing in his eyes; a trace of the young ‘luc buried deep inside the scarred heart of a charred phoenix, “…. hmph. did kaeya put you up to this?”

tighnari hums nonchalantly and gives you a knowing smirk, his tail swishing mischievously behind him, “perfect. i do have a rare specimen i’d like to plant. i’m sure it’ll benefit well from the nutrients it’ll absorb from your victim. so, where did you put the body?”

✼ ᴍᴇᴍʙᴇʀꜱʜɪᴘ (ᴛᴀɢʟɪꜱᴛ) ┈

@abyssmal-skies ! @hamdehlesmis ! @sunnshineflxwer ! @queen-belial ! @silentmoths

@dustofthedailylife ! @marina-and-the-memes ! @mixed-kester ! @lordbugs ! @anonymousficreader

@irethepotato ! @sassy-cat-in-town ! @syrenkitsune ! @smokipoki ! @cakeboxie

@crystalflygeo ! @ciexuvia ! @illaasya ! @celestewritestoomuch ! @pams-comfortzone

@spidermanluvr444 ! @ourstrawberryclouds ! @ryuryuryuyurboat ! @hrts4hanniehae ! @fiannee

@frosts-intuition ! @florapocalypses ! @genshin-impacts-me ! @scarasmood ! @hellcatinnc

@beloved-brynn ! @malachitemischief101 ! @average-yandere-enjoyer