What Is Chronic Care Management and Who Needs It?

It is well known that individuals with health issues that span over a period of time face diverse issues that are not limited to a quick trip to see a physician. The health issues that have been faced over a long period of time call for a more inclusive form of healthcare – one that considers the ground reality of managing symptoms, aftercare needs, and changes to a patient’s ethic. This is, therefore, a chronic care management concept as it changes the game when it comes to patients with chronic diseases and obtaining continuous help.

Understanding Chronic Care Management

Chronic care management refers to the continued medical management and providing supportive services for an individual with a long-term health condition and is complementary to acute care services that are performed in the setting of immediate or urgent medical need. This management encompasses care coordination, regular follow-up and surveillance, patient education, surveillance and administration of medications, with the goal of optimizing overall health and by improving different health results.

Who Benefits From This Approach?

Patients living with one or more chronic conditions stand to gain the most from comprehensive chronic care management. These conditions typically include diabetes, heart disease, high blood pressure, arthritis, COPD, asthma, and depression, among others. Medicare defines eligible patients as those with two or more chronic conditions expected to last at least 12 months or until the end of life, presenting a significant risk of deterioration or requiring ongoing medical intervention.

Elderly individuals often benefit significantly from these services, as approximately 80% of adults over 65 have at least one chronic condition, and many have multiple. However, chronic care management isn’t limited to seniors—anyone with ongoing health conditions that require consistent monitoring and care can benefit from this structured approach.

Key Components of Effective Management

Successful chronic care management programs typically include several essential elements. A comprehensive care plan outlines treatment goals, medications, and recommended services. Regular check-ins, either in-person or virtual, allow providers to monitor conditions and make timely adjustments to treatment plans. Care coordination ensures all healthcare providers stay informed about the patient’s condition and treatments, reducing redundant testing and contradictory advice.

Patient education forms another crucial component, empowering individuals with knowledge about their conditions and self-management techniques. Technology often plays a vital role, with remote monitoring devices and telehealth services extending care beyond office visits.

The Impact on Health Outcomes

Research consistently demonstrates that chronic care management leads to improved health outcomes. Patients experience fewer hospitalizations, reduced emergency room visits, better medication adherence, and improved quality of life. The continuous nature of care allows for early detection of complications and timely interventions before conditions worsen.

Conclusion

Chronic care management marks a necessary transformation from reactive to proactive healthcare when it comes to people with long-term ailments. This approach integrates patient self-management for chronic conditions and combines it with more frequent follow-ups, ultimately allowing the relevant parties to manage their ailments and lead normal lifestyles more efficiently. For those inclining towards managing chronic illnesses, continuous service along with improved service coordination is not only more effective service provision, but also an enhanced functioning state and a higher satisfaction in living life.

How to Select the Right Blockchain Software Development Company for Your Project

Choosing the right partner is crucial when starting a blockchain development project. Understanding the nuances of blockchain technology and its applications can help businesses effectively leverage this innovation to improve operations and security.

  1. Understanding the blockchain development process
  2. Evaluating technical expertise and team capabilities
  3. Integrating blockchain solutions with existing systems
  4. Ensuring regulatory compliance and data security
  5. Focusing on tailored blockchain solutions

Discover how to navigate the complexities of blockchain integration and development to maximize your project’s success.

Understanding the blockchain development process

The blockchain development process begins with identifying business objectives and choosing the appropriate blockchain platforms. Not every use case fits the same blockchain type; options include public, private, and consortium networks.

A leading blockchain development company will analyze your business processes and suggest custom blockchain solutions that meet your unique needs. This includes designing smart contracts, selecting consensus protocols, and establishing a secure blockchain network.

Evaluating technical expertise and team capabilities

Technical expertise is paramount. Experienced blockchain developers handle complex tasks like chain code development, dapp development, and smart contract development.

A company offering comprehensive blockchain consulting services ensures alignment between technology and business goals, providing software development services that facilitate smooth blockchain app development.

Integrating blockchain solutions with existing systems

Effective blockchain integration requires compatibility with your existing systems. An app development company familiar with blockchain can deliver decentralized applications tailored to industries such as supply chain management or crypto exchange development.

This integration allows businesses to enhance transparency, security, and efficiency in various operations.

Ensuring regulatory compliance and data security

Blockchain projects must comply with regulations and prioritize data security. A trusted blockchain software development company implements enhanced security measures to protect sensitive information and ensure regulatory compliance.

Smart contracts are critical components; their vulnerabilities necessitate thorough testing and auditing to safeguard the platform.

Focusing on tailored blockchain solutions

Tailored blockchain development solutions offer flexibility and scalability for diverse industries. Whether for enterprise blockchain development or blockchain game development, customized approaches yield the best results.

Companies like 10clouds exemplify how deep expertise and client-focused strategies produce secure, efficient blockchain software.

Selecting the right custom blockchain software development partner ensures your project’s goals are met with technical excellence and strategic insight

5 Backup Mistakes Businesses Make (And How to Avoid Them)

Data loss is not merely a technical inconvenience; it is a serious business risk. From lost customer records to halted operations, even a brief disruption can result in financial losses, reputational harm, and legal consequences. At our lab, we frequently work with organizations that believed their data was properly backed up until an incident proved otherwise.

Having backups is not sufficient. What protects your business is a backup strategy that is reliable, regularly tested, and resilient.

Below are five common backup mistakes we encounter, along with one critical misconception many business owners have regarding server protection, and how to address them.

1. Assuming Backups Are Running (When They Aren’t)

Many companies install backup software and assume it will function indefinitely without oversight. However, backups can fail silently due to:

  • Expired licenses
  • Reached storage limits
  • Crashed services or agents
  • Misconfigurations following updates

Solution:
Implement automated backup reporting, review logs regularly, and schedule test restores. Alternatively, work with a managed IT provider who actively monitors your backup system.

2. Storing Backups on the Same Device or Network

In numerous cases, businesses store backups on the same RAID system or local server as their production data. When ransomware strikes or a server fails, both the primary and backup data may be lost.

Solution:
Apply the 3-2-1 rule:

  • Maintain 3 total copies of your data
  • Use 2 different types of storage media
  • Keep 1 copy offsite or in the cloud

3. Neglecting to Test Restore Functionality

Backups are only as good as your ability to restore them. Without routine restore tests, businesses often discover too late that files are corrupted, missing, or inaccessible.

Solution:
Conduct monthly restore tests of critical files, and simulate full system recoveries at least quarterly.

4. Failing to Secure Backup Data

Backups can be vulnerable to the same threats as production data. Ransomware often targets backup directories, and poor access control can lead to accidental or malicious deletion.

Solution:
Use encryption, access restrictions, and immutable storage options to protect your backup data. Ensure your cloud backups cannot be altered or deleted for a set period.

5. Relying on a Single Backup Method

Many businesses rely solely on cloud sync tools or a single external drive. While convenient, these solutions may not protect against all scenarios, especially data corruption or ransomware.

Solution:
Deploy a hybrid strategy that includes:

  • Local image-based backups for rapid recovery
  • Offsite or cloud backups for disaster recovery
  • Versioned backups to restore specific historical points

Why New Servers and RAID Arrays Are Not Enough

Business owners often assume that purchasing a new server with RAID (Redundant Array of Independent Disks) ensures complete data protection. While RAID provides hardware redundancy, it does not guard against:

Ransomware Attacks

Modern ransomware can encrypt entire RAID arrays, mapped drives, and attached backup storage.

Our RAID data recovery team frequently handles cases where all volumes, including backups, have been locked by ransomware.

Fire, Flood, or Physical Catastrophes

Disasters such as electrical fires, flooding, or overheating can destroy entire systems, rendering RAID protection irrelevant.

Human Error or Insider Threats

Employees may accidentally delete critical data or, in extreme cases, intentionally sabotage systems. RAID will replicate such deletions across all drives.

In one example, our server data recovery  specialists successfully restored key databases from a physically damaged system after a data center fire.

Formatting and Configuration Errors

Missteps like formatting the wrong volume or reinitializing the server can instantly erase valuable data. RAID systems do not protect against operational mistakes.

Final Thoughts

From our extensive experience assisting businesses across the country, we have found that the most dangerous assumption is:

“We have RAID, so we’re protected.”

This belief leads many companies to neglect proper backup planning. When disaster strikes, they often discover that their RAID setup failed, their backups were corrupted, or they were entirely unprotected against external threats.

We have recovered data from:

  • Ransomware-encrypted RAID arrays
  • Fire-damaged server racks
  • Deleted or overwritten virtual machines
  • Flooded NAS enclosures
  • Systems sabotaged by former employees

All of them had RAID. None had true backup protection.

If your organization is experiencing a critical data loss event, we invite you to learn more about our professional data recovery services. We specialize in retrieving data from damaged, encrypted, and failed storage systems, no matter how complex the scenario.

Cutting Through the Clutter: Tips for Creating Clear, Concise Document Summaries

If you’ve ever faced the daunting task of wading through a mountain of text, you know how overwhelming large documents can feel. Whether it’s a lengthy report, a dense research paper, or a complicated contract, finding the key points quickly is a real challenge. That’s where the magic of summarizing comes in—transforming pages of information into bite-sized, easy-to-digest nuggets without losing the essence.

But let’s be honest: summarizing isn’t always straightforward. You want to capture the important bits, avoid missing context, and keep things brief enough to hold attention. Fortunately, there are proven ways to make this process easier and more effective. Whether you’re tackling a business report, prepping for a presentation, or simply trying to remember what matters most, these tips will help you cut through the clutter and create summaries that actually work.

Start with a Clear Goal

Before diving into any document, ask yourself: What’s the purpose of this summary? Who is going to read it, and what do they need to get out of it? The answer will shape what information you focus on.

For example, if you’re summarizing a technical report for a general audience, you’ll want to skip jargon and heavy details, focusing instead on conclusions and implications. But if your summary is for experts, including specific data points or methodologies might be crucial.

By setting a clear goal, you avoid the trap of trying to include everything, which can make your summary confusing or overwhelming.

Skim First, Then Dive Deep

One of the best ways to tackle large documents is to start with a quick skim. Get a feel for the structure: look at headings, subheadings, bullet points, and any highlighted or bolded text. These often signal the main ideas.

Skimming helps you identify which parts deserve more attention. After that, dive deeper into those key sections to gather your summary content. This two-step approach saves time and prevents you from getting bogged down in unnecessary details.

If you’re pressed for time, tools like a pdf summarizer can speed up this step by automatically highlighting important sentences and themes. Still, nothing beats your own judgment for picking up on nuances and tone.

Highlight Key Points Without Losing Context

While it’s tempting to pull out individual sentences or statistics, a good summary balances detail with context. Simply dropping facts without explanation can confuse readers.

Try to capture the “why” and “how” behind the information. For instance, instead of just stating “Sales increased by 15%,” add a brief note about what drove that growth. This gives the summary a logical flow and keeps it meaningful.

When you take notes or highlight passages, use your own words as much as possible. Paraphrasing not only helps avoid plagiarism but also forces you to process and understand the material better.

Keep It Brief but Complete

The goal of a summary is to be concise, but that doesn’t mean leaving out crucial information. Finding the right balance is key.

Aim to reduce the original content by at least 50%, focusing on main ideas, conclusions, and critical details. Avoid minor examples, anecdotes, or lengthy explanations unless they are essential to understanding.

If you find yourself tempted to include a lot of background info or side notes, ask: Does this help the reader grasp the main message? If the answer is no, it’s probably best left out.

Use Clear and Simple Language

Summaries should be easy to read and understand. That means ditching complicated words, long sentences, and jargon where possible.

Think about your audience’s familiarity with the topic and adjust your language accordingly. For a general audience, simple words and short sentences work best. For technical readers, you can be more precise but still aim for clarity.

Using bullet points or numbered lists can also help break down complex information into digestible chunks. Plus, it makes the summary look less intimidating on the page.

Organize for Flow and Readability

Even a summary benefits from a logical structure. Organize your points so they follow a clear progression, guiding the reader through the main ideas smoothly.

Common structures include:

  • Chronological: Presenting events or developments in order.
  • Problem-Solution: Explaining an issue and then outlining the response.
  • Cause-Effect: Showing what led to what.
  • Thematic: Grouping information by topic.

Choose the structure that best fits the original document and your summary goal. Transitions and connectors like “however,” “therefore,” and “as a result” help your summary flow naturally.

Don’t Be Afraid to Edit Ruthlessly

Great summaries often come from ruthless editing. After your first draft, step back and ask what can be cut without losing meaning.

Look for redundancies, filler phrases, and off-topic sentences. Also, check if each paragraph or bullet point contributes to your goal.

If you have the luxury, get a fresh pair of eyes to review your summary. Sometimes others spot gaps or confusing spots that you missed.

Tailor Your Summary for the Medium

How you deliver your summary matters. A one-page executive summary for a business meeting will look very different from a quick email briefing or a social media post.

Consider format and length restrictions, and adapt accordingly. If it’s digital, using hyperlinks to the full document or related resources can keep your summary lean while offering depth for those who want it.

Use Technology Wisely, But Don’t Rely on It Fully

Automation tools like pdf summarizers, AI-based note-takers, and text highlighters can save time. They often identify keywords, extract important sentences, and even generate draft summaries.

However, these tools aren’t perfect. They can miss subtleties, misinterpret tone, or highlight irrelevant parts. Your human judgment is essential to verify, refine, and add context to these automated outputs.

Use technology as a helpful assistant rather than a replacement for your own understanding.

Practice Makes Perfect

Summarizing is a skill that improves with practice. Challenge yourself with different types of documents—articles, reports, contracts—and try various summarizing techniques.

Over time, you’ll develop a sense of what details matter most and how to convey them succinctly. You might even find your own style and shortcuts that work best for you.

Final Thoughts: Summarizing Is About Connection

At the end of the day, a summary’s job is to connect readers to information quickly and clearly. It bridges the gap between detailed content and busy minds.

By focusing on your summary’s purpose, balancing brevity and context, and organizing your points with clarity, you make your documents accessible and actionable.

And with a little help from tools like a pdf summarizer, you can streamline the process even more—leaving you more time to focus on what really matters.

Hybrid Cloud Solutions: Connecting You to What’s Happening and What Will Happen

Picture yourself trying to fix an airplane as it is flying. That’s what it’s like for businesses to move from the current centralized internet (Web2) to the future decentralized web (Web3). You can’t make the switch to blockchain, AI, and user-owned data models so quickly that it disrupts everything. There are hybrid cloud solutions now, created by practical engineers who help connect the two worlds safely.

The Reason We Need a Bridge

Web2 is what we usually think of as the internet: social media, shopping on the web, and apps managed by major tech firms. Because your data is on their servers, they decide how you experience it. It makes things easy, but it’s also quick to break down when privacy is invaded, there are outages, or someone tries to censor it.

The main promise of Web3 is that users have more control since the system is decentralized. Blockchains store data, cryptocurrencies are used for transactions, and apps depend on networks governed by their communities. But it’s much like the internet in its early days—the UI is not pleasant, wallets are complicated, and scaling problems are holding back widespread use.

Businesses that leave Web2 must give up years of investment. Users who join Web3 are new to many of the concepts they will encounter. Most organizations are stuck with a lot of old technology, outdated systems, and standard processes that can’t be replaced right away. They store information for millions of customers, their tools support a wide range of links, and their employees are experts at using the systems. They manage to solve this by combining the top features of both systems, not by completely changing everything.

With hybrid blockchain, businesses can store sensitive data safely and use the transparent features of decentralization.

The switch we are seeing is as much about people’s thoughts and behaviors as it is about technology. Those who study change management have known for some time that meaningful changes happen step by step, not all at once. The idea is relevant to Web3 as well, where using both old and new ways helps teams test what’s new without disrupting their regular work.

What Happens with Hybrid Clouds

Imagine that hybrid architecture speaks two languages. It connects with old systems (like traditional databases) and effortlessly works with things from Web3 (like smart contracts and tokens). That’s what it would look like if we applied it:

A few years ago, it would have seemed impossible for privacy and transparency to go hand in hand. A hospital can keep patient records safely with Web2 technology while using blockchain technology on Web3 to monitor medicine supply chains. Hybrid systems divide data flow so that sensitive data is kept safe and auditable actions are based on decentralized transparency and immutability.

Easy-to-use gateways have removed many obstacles that stopped people from using Web3 when it was launched. Instead of requiring users to look after their crypto wallets, write down seed phrases, and work through complex dashboards, hybrid apps give them the option to sign in with their usual email accounts or credit cards. Web 2.5 is clear in Coinbase and OpenSea, which provide NFTs and cryptocurrency in ways that are just as easy to use as basic e-commerce sites.

Hybrid approaches are most clearly seen in how flexible payments are used. Consider Crypto, which usually accepts both fiat currencies and over 30 different cryptocurrencies, including Bitcoin, Litecoin, and Ethereum. With Web3, you can take advantage of quick and inexpensive transactions but still use credit cards, making for an easy mix of old and new payment systems.

This means that, as well as paying, users could use social logins to verify their identity and still manage their personal data using blockchain protocols. The end product is something that feels comfortable to Web2 users as they start to discover the advantages of Web3.

The Critical Role of Data Recovery

With hybrid environments, IT departments face challenges that were not part of their normal work. Today, data is found in central servers, on distributed blockchains, and in edge computing devices at the same time. A system error could result in lost logs, missed user assets, lost smart contracts, or disconnected connections among them. Robust data recovery isn’t just recommended—it’s vital for business continuity.

Businesses need to use more than traditional backups when working in hybrid settings. With conventional approaches, data is regularly backed up by a central system that stores snapshots of the data at a specific time. But these systems demand a different set of methods because their data is spread across the network, some records cannot be changed, and they rely on many connections between blockchain and non-blockchain information.

All important records, including ownership, transaction details, and smart contract status, are stored in several independent nodes. Thanks to this design, the system can recover from disasters easily, since a single node not working won’t endanger the entire system. Still, blockchains provide strong data storage, but they can’t address all recovery problems, especially with data and metadata outside the blockchain.

Resilience of data on and off the blockchain calls for automatic backups that can support both types of information. Information in this category might be user profiles, application logs, encrypted private keys and the links between Bitcoin addresses and real people. If a business suffers a ransomware attack, hardware breakdown, or a mistake by someone, fast recovery is very important.

Making Your Business Future Ready

Implementing hybrid cloud solutions means organizations must change their culture in every area. For success, you need three key changes that are more important than installing software or hiring blockchain staff.

Organizations can grow their abilities and confidence using low-risk cases, rather than putting everything at risk with new technologies. It is common for a retailer to use blockchain for loyalty points and keep checkout on Web2 platforms. Thanks to this method, teams can learn lessons about users, technology, and operations without putting crucial business functions at risk.

With the technology field advancing so rapidly, making systems interoperable is very important. Organizations ought to pick tools that communicate in traditional and blockchain languages. Using Ethereum APIs with SQL databases on the cloud prevents you from being locked in by a single provider and helps you adapt when your needs change. As a result of this strategy, tomorrow’s value of hybrid investments is guaranteed, no matter what technologies become popular.

What’s Next

The internet’s progress won’t happen all at once; it will take years or decades to completely change things. Thanks to hybrid solutions, businesses of all sizes can travel that journey, make it practical, and experience profits.

Examples of this new type of future are appearing right before our eyes. Banks are using private blockchains for transactions among themselves and for legal reporting, but they also give out Bitcoin loans and provide access to cryptocurrency investment products on public networks. Still, social media services hold user data and posts on their main servers for performance and moderation reasons but are also testing ways to let users keep control of their activity information and online identity using NFTs.

Forward-thinking enterprises are pioneering next-generation user experiences by thoughtfully blending Web2’s proven usability patterns with Web3’s innovative capabilities. By following these early adopters, other companies can see that the hybrid approach really works and is a smart move.

Why AI Lies to Protect Corporations and the Status Quo

AI Bias is Already Shaping Everything You Read

Many people make a natural assumption that Artificial Intelligence systems are smart, and can easily produce sound logic and reasoning. AI gives answers with no emotion. It often seems wiser than a person.

AI sounds neutral, but it is not. Its answers reflect the data it learned from, and that data includes deep corporate and government-focused bias. The AI does not “know” what is fair. It just repeats what it has seen before. If the data is flawed, the answer will be, too.

Many people now trust AI for advice. They use it for health, jobs, news, and personal issues. This trust feels safe. But if you look closer, AI often repeats harmful or unfair views. And it does so in a voice that sounds polite and balanced. That makes it harder to question. This is why it matters. You deserve to know when “neutral” advice may hide bias. This article explains how AI picks up these flaws and gives four real areas where that happens.

AI Is Not Smart, It Is Patterned

People often say AI is “intelligent,” but that word is misleading. Generative AI does not think or reason, check facts, or know right from wrong. It builds answers based on patterns in its training data, which come from the Internet, books, and other public content. If the data is balanced and fair, the answers might be good. But if the data is biased, the AI will reflect that bias.

One key pattern engine is the transformer-based AI model, which became the backbone of how AI tools now create answers. For example, if the training data includes more voices from doctors than patients, the AI will favor the doctor’s view. It might say the system is working fine. But that may not be true for the person using it. AI does not judge ideas like humans do. It cannot say “this is unfair” unless it was trained to say that. This creates a big problem. People ask AI hard questions, but AI can only echo its sources. The result is that the AI may sound neutral while repeating unfair views.

Daylight Saving Time and Child Deaths

Many AI tools support permanent daylight saving time. They say it is good for health and the economy. They point to sunlight and mood, or lower crime rates. But they often skip the darker facts. In 1974, the U.S. tried permanent DST. That year, 8 children in Florida died. They were hit by cars while waiting for school buses in the dark. AI rarely mentions this fact.

Why does this happen? Most public articles favor DST. These pieces talk about energy use or productivity. The AI reads more of these than it does about child safety. So it repeats the majority view. It sounds helpful, but leaves out the tragic cost. That is bias in action. AI does not weigh lives. It repeats what is popular in its data. And that can lead to answers that feel smart but are not safe.

Medical Bills and the Burden on Patients

Many people assume doctors will only order tests covered by insurance. But billing errors happen all the time. When a provider makes a mistake, the patient is often left to pay. This is unfair, but AI rarely calls it out. Instead, it suggests calling your insurer or asking the office for help. It sounds neutral, but it shifts blame to the person without control.

AI reflects the voice of the healthcare industry. The KFF analysis of surprise medical billing shows how common these errors are. But AI does not speak from that data first. Most of its training sources are hospital websites or insurance blogs. These make the system look orderly and fair. So AI answers follow the same tone. They do not explain how common it is for patients to suffer from simple mistakes made by billing staff or automated claim software.

Job Advice That Favors Employers

Ask AI how to get hired and you get clean advice. Use a short resume. Be professional. Show your soft skills. It sounds fair. But this is the voice of companies and HR teams. These groups create most of the career tips online. So they dominate the pattern AI learns. However, their advice does not help people who face bias in the system.

If you are older, changing fields, or have gaps in your work history, you may be told to “fix” yourself to meet the system’s demands. But AI will rarely question the system itself. This bias is one reason the EEOC issued guidance on AI fairness in hiring. The advice from AI may seem balanced, but it is often a one-way street, shaped to serve what companies want, not what people need.

Crime and Policing Narratives

Ask AI where crime is high, and it gives statistics from law enforcement. That sounds fair. But those numbers reflect where police spend their time, not where crime happens. Some neighborhoods are watched more than others. That means the AI sees more crime data from those areas, even if nothing is worse than elsewhere.

This is not a small issue. AI often repeats harmful narratives about race and poverty without knowing it. It presents biased numbers as a neutral truth. Groups like Data & Society have shown how predictive policing tools can deepen injustice. But AI does not know this unless someone writes it into the data. Most of the data is still written using the same old systems.

Summary: Neutral Is Not Always Fair

AI sounds neutral. It speaks with no emotion. It gives answers that feel balanced. But this is just style, not truth. The words may feel safe, but they are built on biased data. That bias comes from who writes the most, who holds power, and what ideas are often shared online. AI does not test for fairness. It tests for patterns.

We have seen four examples. In each, the AI sounded helpful. But it left out key truths. It favored the majority view. It did not show harm to the weak. This is how bias hides inside a machine voice. The system feels neutral, but it keeps old injustices in place.

If you use AI to make choices, be alert. Ask what voices are missing. Question the popular view. Seek out sources that challenge the norm. You can still use AI — but do not let its calm voice fool you. Bias does not shout. Sometimes it whispers and smiles. For more on ethical standards, the AI and Society Ethical Guidelines offer a useful place to begin.

Virtual Doctor Visit for Busy People: Healthcare Without the Waiting Room

Do you find it difficult to get to the doctor’s office when you aren’t feeling well? Do you often find that your illnesses are more drawn out than they need to be because you never get the proper treatment for them? If so, you might be a good candidate for virtual doctor visits. These can save you time, money, and the possibility of worsening your illness since you don’t have to leave the house and be around other sick individuals in a waiting room.

Here is more information on these visits and why a virtual doctor visit might be right for you.

What Can Virtual Doctor Visits Treat?

While a virtual doctor visit cannot treat serious illnesses, it can treat a variety of minor injuries and sicknesses. These include headaches, urinary tract infections, colds and flus, skin issues, eye problems, minor cuts, yeast conditions, stomach bugs, allergies, and nausea.

How Do They Work?

A virtual doctor visit is incredibly easy. First, you sign up for a service. Amazon Prime’s program, for example, is just $99 a year and you are able to request 24/7 on-demand video chats with a healthcare professional as well as send messages to your healthcare team and request prescriptions. If you don’t want to sign up for a yearly membership, you can also do a one-time virtual visit for a low price and receive care in minutes. Insurance is not needed or accepted for these one-time visits.

What are the Benefits of Virtual Doctor Visits?

There are numerous benefits of a virtual doctor visit. They include:

  • They save you time. No need to spend the day driving to your doctor’s office and then wasting time in the waiting room while you wait to see a doctor. With a virtual doctor visit, you simply request an appointment and quickly conduct that visit from the comfort of your own home.
  • They keep you safe. No one wants to drive and spend time in a room with other sick people when they aren’t feeling well. With a virtual doctor visit, you don’t even have to get out of your pajamas to see your doctor.
  • They are affordable. At less than $10 a month, getting on-demand care is extremely affordable.
  • They provide greater access to care. If you’re located in a remote location, you may not have access to high-quality health professionals to treat your injury or illness. With virtual care, you will have access to the best doctors to help return you to health.
  • Others can be involved. Since it’s telehealth, your spouse or kids can also get on the call if they want to participate or help give background to your health issue.

Is a Virtual Doctor Visit Right for You?

Knowing if a virtual doctor visit is the right choice for you is an individual decision. Many people use these visits for minor illnesses when they don’t have time to go to their normal doctor but still see their regular healthcare professional for check-ups and more serious matters. Wondering if it’s right for you? Try a one-time visit the next time you feel ill to see if it’s a good fit.

Tips for Choosing The Right Programming Language for Every Project

Each language presents its own set of advantages, disadvantages, and specific use cases. To navigate these choices effectively, consider the nature of the project, the required performance, team expertise, and future scalability. The right programming language can ensure productivity, simplify development, and improve the final product’s quality. Here are some tips to help you choose wisely.

Learn about the Project Requirements

Before diving into the technical aspects of programming language options, clarify the project’s requirements. Assess whether the project needs to be web-based, mobile, or a desktop application. Web projects might favor languages like JavaScript; mobile applications might lean towards Swift for iOS or Kotlin for Android. Identify any performance benchmarks you need to achieve.

Consider the project’s longevity: if it’s intended to evolve over time, choose a language known for its flexibility and community support. Take into account any security implications or compliance requirements relevant to your project. Set clear criteria up front, and you can eliminate options that do not meet your core needs.

Evaluate Language Performance

Performance metrics select the right programming language. Speed and efficiency require real-time processing, like gaming or financial applications. C and C++ languages are notorious for their operational speed, suitable for performance-critical systems. Others, like Python, excel in areas requiring rapid development and less resource consumption, but may lag in execution speed. The rise of these lightning-fast coding languages, which balance development speed and performance, also opens opportunities for modern applications. Benchmark various languages against the project’s demands rather than relying solely on their typical performance. Seek statistics and expert opinions about expected outcomes before making a final decision.

Assess Team Expertise and Resources

Your development team’s expertise is one of the most significant factors in choosing a programming language. If your team is already proficient in a particular language, it may make sense to stick with that for increased productivity. Learning a new language can involve a steep learning curve, which might slow down project timelines.

For project demands using a less familiar language known for productivity gains, consider the balance between short-term productivity and long-term benefits. Evaluate available frameworks and libraries that can reduce development time. When weighing options, think about whether the team has access to online courses or communities for learning a new language.

Consider Community and Support

A vibrant community surrounding a programming language can ease the development process. Languages like JavaScript, Python, and Ruby boast extensive communities contributing libraries, frameworks, and tutorials. This means you can find support when running into bugs or when you want to implement a new feature.

Check forums or sites like Stack Overflow to gather information on issues developers face with specific languages. When you encounter a problem, having a supportive community can mean the difference between smooth sailing and getting stuck for days. Communities create open-source tools to speed up the development process.

Examine Future Trends and Sustainability

Understand future trends in programming languages to inform your decision-making. Some languages gain popularity due to their adaptability to new technologies like artificial intelligence or blockchain. Opt for a language with staying power, as relying on a fading language could lead to additional costs or project failure down the line.

Look at industry trends and predictions to understand which languages are likely to be in demand. Rust and Go are gaining traction for their performance and reliability. Analyzing job postings and development trends can provide insight into languages that may become relevant in the future. A well-established language is more likely to receive support and updates than a niche or trendy one.

Prioritize Security Considerations

Security should never be an afterthought in any programming language choice. Some languages include built-in safety features that make them less prone to vulnerabilities, whereas others may require developers to implement security measures from scratch. Java and C# offer robust frameworks that facilitate secure coding practices. PHP has a history of vulnerabilities, but they are better understood due to extensive community discourse.

Explore the language’s security track record and known vulnerabilities for applications that will handle sensitive information. Keeping abreast of continuous updates, patches, and industry-standard practices to address security issues can help ensure the longevity and safety of your application.

Make a Final Decision Based on Analysis

After conducting thorough research and assessment based on the criteria above, it’s time to make a decision. Weigh the pros and cons for each language in context with your specific project requirements and team capabilities. Gathering team input creates a collaborative atmosphere and aligns with your goals.

Despite having various factors influencing the decision, trust your instincts based on the detailed analysis. Sometimes, the gut feeling about a particular language can reflect a deeper understanding of project needs or team capabilities. But above all, keep an open mind; projects evolve, and so should your choice of language.

The selection of the right programming language needs to balance immediate project needs with long-term goals. The best path involves examining each aspect meticulously, from project requirements to team expertise, language performance, and community support. A well-considered choice can influence the efficiency and success of your projects.

Patio Installation in Spokane: Read This Before You Break Out the Grill

So, you’re finally ready for that backyard upgrade—the kind of patio where you can kick back, grill something that isn’t hot dogs, and soak up those elusive Spokane rays before the next raincloud rolls in. Seems easy, right? Just slap down some pavers, add a chair or two, and you’re done.

Except, if you want a patio that lasts, looks great, and doesn’t turn into a DIY disaster, there’s a lot more to it. Let’s cut through the Pinterest dreams and talk about what actually goes into a smart patio installation—especially with Spokane’s “spin-the-wheel” weather.

Why Even Bother With a Patio?

  • Real Outdoor Living: It’s an instant “extra room” you’ll actually use—BBQs, family gatherings, or just pretending you’re on vacation.
  • Home Value: Buyers love patios. So does your property value. (Your lawn, however, might get jealous.)
  • Less Mud, More Fun: Tired of dragging dirt into the house? A patio keeps it outside where it belongs.

The Good, The Bad, and the Bumpy

Patio installation can go two ways:

  • The right way: level, beautiful, and ready for anything.
  • The wrong way: uneven, cracked, and the perfect spot for a surprise puddle (or three).

Spokane-Specific Challenges

  • Soil That Can’t Decide: Spokane’s ground goes from soft to rocky and back again in one yard. If you skip proper prep, your patio will settle faster than your last online purchase—usually not where you wanted.
  • Freeze/Thaw Drama: One day it’s 80 and sunny, next day it’s snowing. Cheap or poorly installed patios crack, shift, and look tired after one winter.
  • Rain and Drainage: Water has opinions about where it wants to go. Ignore drainage and you’ll get “Lake Patio” before the season’s over.

Most Popular Patio Materials (and What to Watch For)

  1. Concrete
    • Pros: Durable, affordable, easy to shape and color. Holds up against Spokane’s mood swings (with the right install).
    • Cons: Prone to cracking if not prepped right. Boring if you don’t get creative.
  2. Pavers (Brick or Concrete)
    • Pros: Classy, customizable patterns, easier to repair if a few settle wrong.
    • Cons: Takes skill to install evenly. Cheap jobs = trip hazards.
  3. Flagstone
    • Pros: Natural look, lots of character, great drainage.
    • Cons: Expensive, heavy, needs pro-level prep for a flat surface.
  4. Gravel
    • Pros: Cheap, quick, good for drainage.
    • Cons: Not great for dining chairs, high heels, or anyone who hates raking.
  5. Wood/Composite Decking
    • Pros: Warm look, feels great barefoot, flexible shapes.
    • Cons: Needs maintenance. Spokane winters can be tough on wood.

DIY or Pro? (Spoiler: You Already Know)

Sure, DIY is tempting. But unless you enjoy digging, leveling, hauling, and guessing at local codes, it’s usually best left to people who’ve done it a hundred times. Mess up the slope, forget the base, or pick the wrong materials, and you’ll be fixing your patio every spring.

Why Lellex Construction is the Patio Powerhouse

Now for the “oh by the way”—Lellex Construction knows Spokane patios inside and out. They handle the site prep, the drainage, the materials, and all the little details that make a patio not just “done,” but done right. And let’s be honest: you want to enjoy your patio, not worry about it turning into a slip-n-slide or a weed farm.

Ready to upgrade your outdoor space (and your sanity)?
Check out Lellex Construction—they’ll help you design, build, and enjoy a patio that actually stands up to Spokane’s wild weather and looks sharp doing it.

Uncover New Connections: How to Check Recent Followers on Instagram

Introduction

While follower counts on Instagram may seem like basic metrics, they can point to subtle changes in a user’s social habits. If you’ve ever wondered who someone has started following—or who’s recently followed them—there are practical ways to uncover that information, especially for public profiles.

Whether you’re casually browsing or following someone’s evolving interests, keeping track of recent follow activity can provide timely, relevant insight without needing to scroll endlessly or make assumptions.

How to See Who Someone Recently Followed on Instagram

Instagram doesn’t show other users’ follow activity in time order. But for public accounts, third-party tools can surface that data clearly.

Use Dolphin Radar’s “Recently Followed” Tool

Dolphin Radar’s Recently Followed feature shows you:

  • Who a public Instagram account recently followed
  • Who recently followed them
  • All in reverse chronological order

How to use it:

  • Visit Dolphin Radar
  • Enter the Instagram username of a public profile
  • Instantly see their latest follow and follower activity

Practical use cases:

  • See what kinds of accounts someone just followed—like travel pages, local events, or new hobbies
  • Check who started following someone you know, especially after public posts or changes to their profile
  • Observe if someone’s follow activity reflects a new interest or social circle

Because the tool only uses public data, it works within Instagram’s visibility rules. It’s simply a more organized way to view what’s already available. You’re simply viewing what’s already open—just in a better format.

What You Can Learn From Recent Follows

While most people check recent follow activity out of simple curiosity, it can also highlight digital trends and subtle behavior shifts. If someone’s connections start changing quickly, their follows can reflect a shift in focus, interests, or affiliations. Here are a few practical points to consider:

Tracking recent follow behavior isn’t just curiosity—it’s a quick way to see what’s new, changing, or building in someone’s digital world.

1. Identify Shifting Interests

If someone suddenly follows several accounts in the same category—like wellness, crypto, or news—you can spot trends in what’s catching their attention.

2. Spot New Social Connections

If two public accounts follow each other within a short time, it may suggest they recently discovered each other. This could be after an event, a shared comment thread, or through mutual friends.

3. Discover Trending Accounts Earlier

Notice several people all following the same account? That’s usually an early sign that the profile is gaining momentum or going viral.

4. Spot Real-Time Engagement

If someone recently attended an event, you may see follow activity related to speakers, performers, or brands they encountered.

5. Filter Noise From Discovery

Instagram’s Explore page is algorithmic. Follow data, by contrast, shows real choices people made—helping you find accounts people trust or value.

Useful Facts About Instagram Follow Behavior

  • Instagram does not notify users when someone checks their follower or following list.
  • There is no in-app way to see the exact time a user followed or was followed.
  • Mutual follows (when two users follow each other) are often seen as stronger social signals than one-way follows.
  • Many users tend to follow in bursts—often after seeing recommended content, live events, or viral stories.
  • Following is a low-friction action; pairing follow behavior with likes, shares, or comments gives a clearer view of intent.

Tips for Smarter Tracking

Use these strategies to get the most from tools like Dolphin Radar:

  • Check periodically – Weekly or event-based check-ins are usually enough.
  • Scan for clusters – Are there 3–5 new follows from the same industry or topic? That’s your signal.
  • Compare accounts – Check more than one related profile to spot shared connections.
  • Add context manually – Pair follow activity with recent posts, tags, and mentions for deeper insight.

This gives you not just a list of names—but patterns that tell you what might be coming next.

Final Thoughts

Checking recent follows on Instagram doesn’t require advanced tools or tech skills. It’s a simple habit that can keep you in sync with what’s happening around you—whether that’s trending topics, new circles, or just subtle changes in someone’s network.

With tools like Dolphin Radar, this process becomes even simpler. Instead of interpreting hints through likes or tags, you get an easy-to-read timeline of social activity. It’s an efficient way to stay connected to the changes that matter to you.

Take a look the next time you’re curious—it’s quick, clear, and often more telling than you’d expect.

Financial Modeling in Motion: How Bankers Build, Test, and Negotiate Deals

Financial models are the backbone of every significant investment banking move. It’s not just a spreadsheet—it’s a decision engine. Risk assessment, value discovery, and negotiation guidance—analysts use these tools for it all. Experience, data, and sound reasoning—these are the building blocks of each number. A strong model lets bankers react fast and speak with confidence. Investor confidence and client decisions are shaped by this. From setting assumptions to building valuations, the process must be exact. Every step, from formula to forecast, matters. Simulation platforms now offer a way to learn these skills under pressure—without consequence. 

Building the Financial Model

A financial model sits at the core of every investment banking deal. This sophisticated spreadsheet blends art and science to forecast a company’s future performance. These models shape decision-making by offering vital analysis of financial performance, risk identification, and strategic planning.

Key Components of a Financial Model

Financial models have four essential components that work together to create meaningful results:

  • Assumptions: These variables like growth rates, interest rates, and cost estimations shape the model’s outputs. Strong assumptions come from historical data, management guidance, and market conditions.
  • Inputs: Historical financial information and public data form the base for projections.
  • Calculations: Technical formulas and relationships turn inputs into outputs—the model’s engine.
  • Outputs: Final projections show valuations, cash flows, and other profitability metrics.

The simple three-statement model links the income statement, balance sheet, and cash flow statement. Changes in one assumption flow throughout the entire model and give a complete view of financial effects.

Investment banking simulation games let you see how small changes in assumptions can reshape deal outcomes.

Valuation Techniques Used

Investment bankers use several key methods to determine what a company is worth:

Discounted Cash Flow (DCF) analysis stands out as the most detailed approach. This method projects a company’s unleveled free cash flows into the future (usually 5-10 years) and discounts them to present value using the weighted average cost of capital (WACC). DCFs need many assumptions, which might reduce accuracy despite their depth.

Comparable Company Analysis (CCA) offers relative valuation by looking at similar companies’ trading multiples like EV/EBITDA or P/E ratios. This market-based method gives a value benchmark based on current market pricing.

Precedent Transactions Analysis (PTA) studies past M&A deals in the same industry to set valuation multiples. This approach captures the control premium buyers pay, often leading to higher valuations than other methods. Finsimco’s investment banking simulation teaches these methods through real-life examples. You can build and compare different valuation approaches without risk.

Stress Testing and Scenario Analysis

Stress testing is the last crucial step in building a financial model. Many overlook this step despite its importance in catching errors. Good stress testing keeps models reliable even in extreme but possible economic situations.

Formula logic testing is the simplest way to check. This “sanity test” confirms whether values make sense and formulas calculate right. Tests verify that:

  • Balance sheets balance (Assets = Liabilities + Equity)
  • Ending values in supporting schedules match financial statement values
  • Cash flows add up correctly

Scenario analysis shows how specific events might change your financial model. Unlike testing one variable, scenarios change multiple variables at once. You might see how a global recession affects revenue, margins, and capital costs together.

Sensitivity analysis shows how changes in single inputs affect model results. This method isolates variables to find which ones drive value most. Testing how a 1% change in revenue growth affects valuation reveals key value drivers. Investment banking simulation platforms mirror these testing processes. You can see how different scenarios shape transaction outcomes without real-life risks.

Negotiating the Deal: Real-Time Decision-Making

Negotiation stands as the decisive phase where financial analysis turns into real deal terms. Bankers must make quick decisions that can affect transaction outcomes greatly. You can practice negotiation tactics without real-life risks through investment banking simulation games that copy these high-pressure scenarios.

Handling Client Objections

Successful dealmakers see objections as chances to start productive conversations, not as barriers. The sharp angle close technique works especially well—asking: “If we come to an agreement on this objection, is there anything else stopping you from moving forward?”. This method opens up the discussion beyond a single sticking point.

Client concerns about strategy, valuation, or terms need a composed response. Skilled negotiators connect with the objection before showing new information. To name just one example, you might say: “I understand your concern about valuation. We’ve actually conducted additional analysis that addresses this issue”. This approach eases tension and keeps negotiations moving forward.

Adjusting Terms and Valuations

The valuation gap between what buyers will pay and sellers expect often needs creative solutions. These strategies work well:

  • Earnout structures where part of the purchase price depends on future performance
  • Rollover equity arrangements allowing sellers to retain partial ownership
  • Seller financing options with repayment over time
  • Exploration of alternatives to demonstrate competitive interest

Smart negotiators know price isn’t always the key factor. Better deal terms or fixing specific pain points can work better than just changing the price. Investment banking simulation platforms teach you which terms give you the most power.

Internal Approvals and Sign-Offs

Most firms use a two-phase approval process for deals behind the scenes. The first phase happens before non-binding offers go out and needs approval from the head of corporate development and C-suite executives. The second phase occurs before signing definitive agreements and brings in more stakeholders.

Quick internal approvals matter a lot. Many companies have switched from traditional in-person approval meetings to digital platforms that capture deal data automatically. Team members get alerts when they need to review or finish tasks, and event-triggered notifications speed up the process.

A successful deal needs balance between external client relationships and internal rules — a skill you can develop on platforms like Finsimco investment banking simulation before handling actual high-stakes deals.

Conclusion

Deals don’t close on theory. They close on numbers that hold under stress and logic that convinces in real-time. Financial modeling turns raw data into leverage. Good models don’t just guide—they protect, persuade, and unlock results others miss. They need testing, iteration, and sharp thinking under pressure. Simulations replicate this reality and accelerate learning. You can make mistakes, test limits, and rethink strategies without fallout. For those serious about finance, it’s a shortcut worth taking. Numbers won’t lie for you. But if you learn how to speak their language, they’ll speak for you—clearly, quickly, and with impact.

What is Copy Trading and is it the Right Thing for Your Portfolio?

The trading ecosystem has attracted an ever-growing number of investors over the last few years, all of whom are looking for ways to make the most out of their money and ensure their capital withstands the adverse effects of inflation and currency devaluations. However, when you’re a beginner, you will most likely feel a little intimidated when taking your first steps into this sector. Making all the right choices is pretty much impossible at this point, as you can only learn what you need to do after gaining some experience and making a few mistakes. However, that’s not an ideal scenario, especially if you don’t have a lot of funds to work with and aren’t keen on the idea of losing capital. 

Enter copy trading. This method takes this issue away from your hands, allowing you to rely on the actions of savvier traders when it comes to your own portfolio as well. Even if you don’t want to follow this path throughout your career as an investor, it can still serve as an educational experience and provide you with insights that you may have remained unaware of otherwise. 

What is Copy Trading? 

The concept of copy trading refers to a way in which to approach financial markets that involves copying the positions of other investors. You get to choose whose movements to follow, so make sure to be informed before making this choice and look for those whose financial goals are aligned with yours. Copy trading is somewhat similar to mirror trading as it allows you to copy a strategy, but the thing that makes copy trading fundamentally different is the fact that a portion of the funds earned by the copying investor is redirected to the copied investor. 

Any trading activity made from that point onwards, including the assignment of Stop Loss and take Profit orders, the opening of a new position or its closing, are executed in the same manner, with the copied trader getting their allotted amount of the funds. As the copying trader, you will retain the ability to disconnect from copied trades and manage them yourself at any point, and you can also close the relationship between yourself and the other investor as well. This will also close all copied positions at the current market price, though, so make sure you’re fine with the values before taking this step. 

The copied investors are commonly referred to as signal providers or leaders, and they are compensated via monthly subscription fees. Popular investors have the potential to earn as much as 100% spread rebate on their own transactions, with reward schemes aiming to stimulate them to allow others to copy their trades instead of carrying out ventures privately. 

The Developments 

Copy trading has led to the creation of a new kind of investment portfolio, one called a “People-Based Portfolio,” by experts operating in the sector. They differ from traditional portfolios in that they are based on investments created by other participants instead of relying on classic instruments based within the marketplace. Social trading networks are also known for providing new and innovative frameworks for delegated portfolio management due to the indirect control of portfolio managers over some of the capital accumulated by the signal followers. 

Copy and mirror trading were first developed around 2005, although a proto form of this method existed before. Based in trading rooms, an investor would announce that they had executed a particular transaction by writing it in a virtual room. The followers had the opportunity to read and reproduce it in case they believed it would help their own holdings. But in the mid-2000s, automated trading was developed, leading to algorithmic trading and fully automatic systems that gave traders the possibility to share their own trading histories. 

Starting from this point, investors would host their trading strategies on different networks, complete with their records, so that potential users could have a glimpse at their performance. These figures could also provide them with an indication as to whether the ways in which these investors were approaching the marketplace were in line with their own goals and expectations. Over the years, a new technique was developed, one that allowed investors to connect their trading accounts directly on the platform. That means that every single action was recorded and made available to the users without the need to submit to any other strategy. 

Copy trading has become increasingly prominent since 2010, becoming a popular feature among online trading brokers worldwide. Less experienced traders joined in right away, eager to take advantage of the trading decisions of successful, veteran investors. Most of these trades take place in markets with an elevated level of liquidity, and it is still vital for investors to be careful and do their best to avoid scams and fraud, as regulators are still trying to get the ecosystem under control. 

Is it for You? 

There are many different ways to approach trading markets, and there’s no one-size-fits-all process or system that fits everyone. You need to decide what your expectations are and create a strategy based on those particulars. Copy trading offers several advantages, including the ability to leverage someone else’s experience, the fact that there’s no need to have a lot of knowledge about market movements and what each of them means, as well as the general passivity associated with copy trading, as you’re leaving all the hard work of choosing the investments to someone else, but can still earn plentiful returns. 

However, the fact that your success depends on someone else naturally has some drawbacks as well. No matter how much experience someone has, they will still make mistakes and lose money. As such, copy trading can be a pretty risky endeavor. Just because you’re hoping for maximum returns doesn’t mean you’ll actually get them. Copy trading can also become quite expensive if you must pay commissions for frequent trades. 

To sum up, it can be the best choice for some investors but a lackluster game plan for others. If you’re unsure whether copy trading is for you or not, you should give it a try. Practical experience is the best way to determine if it works in your case.