nutbutter

If a person reads a lot of theory about how to swim, different types of techniques, other people's written experiences etc., can they swim if thrown in a deep swimming pool? Or, at least, be able to swim enough to reach the steep end and save themselves from drowning?

By "a lot", I mean spending over 6 months to a year, gaining theoretical knowledge. And when we throw them in the pool, they are willing to try it, as in, "I have learnt enough, and I am willing to try it out."

In a first-of-its-type invention in the country, scientists at the Institute of Nanoscience and Technology (INST), Mohali, have developed a smart and biodegradable water filter that not only removes toxic dyes from industrial wastewater but also breaks them down using a combination of sunlight and vibrations.

The innovation, seen as a major breakthrough in eco-friendly water purification, has featured recently as the cover art of the journal “Nano Energy” (Elsevier I.F.=17.1), the INST scientist, Dr Aviru Kumar Basu, who led the research conducted by his student, Manshu Dhillon, and team, told The Tribune here.

He said the innovation depicts a futuristic setup where dye-laden water is purified using a 3D-printed biodegradable polylactic acid scaffold activated by solar energy and subtle mechanical vibrations.

“This smart filter, coated with a catalytic layer of Bismuth Ferrite (BiFeO3), degrades dyes like Congo Red and Methylene Blue using a green process called piezo-photocatalysis,” disclosed Dr Basu, while sharing that this dual-triggered process harnesses both light and mechanical energy to initiate powerful chemical reactions that dismantle toxic dye molecules.

He said even under cloudy conditions where solar output is limited, the system continues to function using ambient vibrations.

“This makes it ideal for year-round deployment, especially in resource-limited areas,” said the scientist.

The researchers tested the setup in real-time degradation of dyes, achieving a remarkable efficiency, removing 98.9% of Congo Red and 74.3% of Methylene Blue from the contaminated water samples.

To evaluate the practical applicability of this filter, tests were conducted using real textile wastewater samples obtained from the Common Effluent Treatment Plant (CETP) at Sanganer in Jaipur. “This facility, which currently treats effluents from 192 out of 860 connected textile industries, provided a representative sample for real-world conditions,” he said.

The filter demonstrated effective dye degradation within 60 minutes under visible light and mechanical stimulation.

The results revealed that degradation efficiency varied depending on the nature and composition of the wastewater, which can fluctuate daily due to differences in industrial discharge.

Adding a layer of machine learning (ML) to the system, the researchers used artificial neural networks (ANNs) to train predictive models that simulate how the filter performs under varying light, dye concentration and vibration levels. The machine learning is a subfield of artificial intelligence (AI), which focuses on developing algorithms and allows computers to learn from and make predictions or decisions based on data without explicit programming.

“These models achieved up to 99% accuracy in predicting catalytic performance, helping optimisation of the filter for diverse field conditions,” the researchers said.

The device is reusable, low-cost and avoids the need for harmful chemicals, positioning it as a sustainable alternative to conventional techniques like ozonation and electrochemical oxidation, which are often expensive and energy-intensive.

The innovation is being hailed as a scalable solution for industries like textiles, leather and pharmaceuticals, all major contributors to dye pollution, and may also benefit rural and off-grid communities where clean water access is still a challenge.

cross-posted from: https://pawb.social/post/27473935

It's a tube of glue that came with a phone repair kit. Thumb for scale.

I literally couldn't read it with the naked eye. Not that you'd want to, because once i saw the picture i realized that it's gibberish

You are not born:

• L - Lesbian
• G - Gay
• B - Black
• T - Transgender

It is a sin to live as LGBT.

It is not God's will.

But Jesus can change you.

It is from an old Dell Inspiron laptop. Is there a way to use this as a wired keyboard (could not find any easy/cheap way on the internet)? Or maybe use it as something else?

systemd cat and GNU cat hugging a Linux cat.

cross-posted from: https://discuss.online/post/19573173

🔗

cross-posted from: https://lemmy.blahaj.zone/post/24471259

transcription: im awake. pay attention to me.

Camel Chat

Camel Chat is a feature-rich Flutter application designed to provide a seamless interface for communicating with large language models (LLMs) served via an Ollama server. It offers a user-friendly way to interact with open-source AI models on your own hardware.

Features

• Connect to Ollama Servers: Easily connect to any Ollama server with optional basic HTTP authentication.
• Multiple Model Support: Chat with any model available on your Ollama server.
• Complete Chat History: View and manage your conversation history.
• Dark Mode Support: Switch between light and dark themes for comfortable viewing.
• Custom System Prompts: Define system prompts to set the AI's behaviour and context.
• Export Conversations: Export your chats as markdown files for sharing or archiving.
• Chat Organisation: Auto-generated meaningful titles for your conversations.
• Responsive UI: Works seamlessly on both mobile and desktop devices.
• Code Formatting: Proper rendering and formatting of code blocks in responses.
• Local Storage: All your conversations are stored locally for privacy.

Getting Started

Prerequisites

• A running Ollama server (local or remote).

Installation

Android

Download and install the APK from the releases page.

Linux

Choose one of the following packages from the releases page:

• Debian/Ubuntu: Download and install the .deb package.
• Fedora/RHEL: Download and install the .rpm package.
• Arch: Download and install .zst package.
• Other distributions: Download the AppImage, make it executable and run it.

Setting Up Your Ollama Server

1. Install Ollama from https://ollama.com/.
2. Pull the models you want to use (e.g., ollama pull gemma3).
3. Run the Ollama server.
4. Connect Camel Chat to your server by entering the URL (e.g., http://localhost:11434/).

Roadmap

Here are some features and improvements planned for future releases:

• Stream Responses: Implement streaming responses for more interactive conversations.
• File Attachments: Upload and process files during conversations.
• Chat Statistics: View usage statistics and performance metrics.
• Release on Flathub
• Windows & macOS Support