Nyungu-Ya-Mawe

SDGs to transform our world ⚙️Interested in Environmental economics and manufacturing systems 🔅Life is Beautiful Enjoy. 🔴#WengerBall

[Nyungu-Ya-Mawe @derrickdalvin]

📌📌 https://t.co/xIirgGA7d2

[Blessing Abeng @blessingabeng_]

As I said earlier it is not compulsory to have someone in a company to get a job. Make friends, network, tell the world that you’re looking for a job, share vital content to show your knowledge about that industry. Be valuable. Be indispensable.

[the meji. @mejitwo]

Petition to change "et al." to "and gang" in academia

[Nyungu-Ya-Mawe @derrickdalvin]

@Jkaweesi I applied for an account over 3 weeks ago and submitted all required information, but I have received no response despite multiple follow-ups. This is quite frustrating. Kindly assist, thanks.

[The Standard Digital @StandardKenya]

GENERAL MUHOOZI: Following our publication on Muhoozi Kainerugaba, fresh details have emerged on the General known for being both tough and fun. Muhoozi, reputed to mean business, is respected by his peers and across the rank and file. Yet, he also has a taste for the finer things in life.

[Blue_boy @BlueboyNk]

It all started with Ronaldo in the 1998 World cup where sponsors controlled and manipulated games . However, it hit unprecedented levels in WC final

Sponsors were bribing,poisoning, lobbying and engaging in medical malpractice

This is how Nike manipulated the World Cup

[AI Research Tools 👨‍🎓 🧬🧪 🐬 🔬 @airesearchtools]

I have asked Deep Research to critique an article we are working on and offer suggestions for improvement.

I've gone for a walk.

On my return, I have a 14-page, single-spaced report that it has done in just over 6 minutes.

The first thing I read of the report is outstanding. I'm going to print it out to read it slowly, but at the level of the best reviewers of an innovation Journal, which is the topic of the article.

One thing I didn't know is that you can attach a file to Deep Research.

And I only have 8 uses left until 28 February: @sama I need more of this 😅

[STYLYR🇬🇭 @stylyrr]

Lady shares her experience about life in Japan 🇯🇵

A Thread 🧵🪡

[Faheem Ullah @Faheem_uh]

PhD Students – Here are the top AI tools for researchers in 2025

Want to learn how to use these AI tools?

Join @AviStaiman in his AI tools bootcamp.

Registration Link: https://t.co/rv6M6NHzQe

The recording for the first session of bootcamp is available here.

Recording link: https://t.co/tir6R7k2Fj

Date: 24 February 2025

The list of tools to be covered.

𝐋𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐑𝐞𝐯𝐢𝐞𝐰

1. @perplexity_ai

Assist researchers in quickly finding relevant information.

2. @keenious

Suggest relevant research papers for your literature review.

3. @scholarcy

Generates easy to understand summary of a research paper.

4. @R_Discovery

Send you alerts about newly published papers

𝐃𝐚𝐭𝐚 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

5. @Scinapse_

Helps you discover relevant research articles.

6. @juliusai

Helps you analyze quantitative data.

7. Atlas

Helps you to analyze qualitative data.

8. @SurveyMonkey

Helps you to create and distribute surveys.

𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧

9. @whoisjenniai
Writing assistant that helps generate content.

10. @Writefullapp

Provides language feedback and editing suggestions.

11. STORM

Helps you to generate a comprehensive article from scratch.

12. @teampaperpal

Enhance your writing with real-time suggestions.

𝐌𝐢𝐧𝐝 𝐭𝐡𝐞 𝐆𝐫𝐚𝐩𝐡

13. @mindthegraph

Helps you make diagrams and infographics.

14. Runway

Helps you to edit videos of your research content.

15. @gammaapp

Helps you to create presentations slides.

16. Napkin AI

Convert text into a diagram.

[💕Mide💕 @HaYoMiDe_]

These people were asked “Strange requests while having s£x” The repl!es are w! ld 😭😭😭

Open Thread🥹

[Ms. SUSAN KATAIKE @sussiekats]

Below are the vehicle codes of all government Ministries, Departments and Agencies under the new regime of #IntelligementTransportMonitoringSystem
#DigitalRegistrationPlates
#RolloutDate6thJanuary2025
@mtic_uganda @MoWT_Uganda @GouInfrastruct @UgandaMediaCent @MKarekye @GenWamala @jkmuhwezi @itmsug @AgamaMartha @assempebwa

[ZORO @_brinxinx]

Marriage is definitely not for the weak😂😂 here are some funny reality shocks after getting married that will definitely make you laugh😂😂

A thread

[Faheem Ullah @Faheem_uh]

PhD Students - Here is an example of a good abstract.

A good abstract should have the following 6 parts.

1. Importance of your study

2. Gap in the existing literature

3. Objective of your study

4. Method used to conduct the study

5. Key findings of your study

6. Implications of your study

Anything you'd like to add?

[Jean Claude NIYOMUGABO @jcniyomugabo]

Yesterday marked the last time I bought vegetables from the woman who sells them near my house.

For months, I’d been paying a premium price, around a third of my monthly income, hoping it would help her grow her small business.

She always assured me that her produce was fresh and chemical-free…

[Dr. Kasenene @drkasenene]

Let’s make 2025 the healthiest year ever.

Here are 12 powerful things that can transform your health—if you commit to them with deliberate effort.

1. Eat your last meal by 8.00pm. Preferably between 6.00pm and 7.00pm

Try not to eat anything after 8.00pm except water.

🧵

[Emmanuel Tsekleves @PhDtoProf]

6 steps to craft an email to Profs to get a reply in 3 days or less.

Here's how to craft an email that captures attention and makes an impact.

[Fabrizio Romano @FabrizioRomano]

🔴🎶 “You’re getting sacked in the morning”, Liverpool fans are chanting…

…and Pep Guardiola replies by showing them number 6, his Premier League titles as Manchester City coach 🔵6️⃣

[Selçuk Korkmaz @selcukorkmaz]

Cross-validation is a statistical technique used to assess how well a predictive model generalizes to an independent dataset. Its primary purposes in statistical modeling include:

1. Evaluating Model Performance: By splitting the data into multiple subsets and iteratively training on some while validating on others, cross-validation provides a robust estimate of the model’s ability to generalize to unseen data. This process helps in understanding how the model is likely to perform in real-world scenarios, although it cannot account for all real-world complexities.

2. Preventing Overfitting: Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern, leading to poor performance on new data. Cross-validation helps identify potential overfitting by providing performance estimates on multiple subsets of the data, allowing assessment of how well the model generalizes.

3. Model Selection: When comparing multiple models or tuning hyperparameters, cross-validation provides an effective method for selecting the model that achieves the best tradeoff between bias and variance based on the given data, leading to improved predictive performance on unseen data.

By systematically partitioning the data and evaluating the model’s performance across these partitions, cross-validation offers a robust mechanism to ensure that the model is not only fitting the training data well but is also capable of making accurate predictions on new, unseen data.

#Statistics #DataScience #Research #Science #MachineLearning

[Selçuk Korkmaz @selcukorkmaz]

In statistical modeling, particularly within the context of regression analysis and analysis of variance (ANOVA), fixed effects and random effects are two fundamental concepts that describe different types of variables or factors in a model. Here’s a straightforward explanation:

#Statistics #DataScience #Research #Science

[The New Vision @newvisionwire]

Leaked classified audios in the hands of security have allegedly implicated former Forum for Democratic Change (@FDCOfficial1) president Dr Kizza Besigye (@kizzabesigye1) in lobbying for arms to fight off the ruling National Resistance Movement government.

DETAILS | #VisionUpdates | @nyamadon 👉👉https://t.co/oOXRcdo0QE