![Ryansikorski10's tweet photo. Social Media (X formally known as Twitter) = Social Sensor Network (SSN)
🚨 Social media platforms like Twitter, Facebook, Instagram, LinkedIn and many others can be defined as a network of interactions of relationships, where the nodes are actors or entities and the edges represent the relationship among them.[10] 🚨
Social Sensor Project
SocialSensor collects, processes, & aggregates big streams of social media data and multimedia to discover trends, events, influencers, and interesting media content.
https://t.co/G8eTvP9A3t
📄 TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
“The interconnection of sensors in the form of Wireless Sensor Networks (WSN) allows the creation of distributed infrastructures for monitoring in Smart Cities (real-time) & retrieving information about the behavior of people (IoB), the occurrence of events of interest and general conditions about the environment for an uncountable number of applications.”
Optimizing transmissions of sensed data is of utmost importance in any type of scenario when it comes to Wireless Sensor Networks (WSN).
https://t.co/GkZwpLpJcH
[10] 📄 An introduction to social network data analytics
“Social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis.”
PDF DOWNLOAD
https://t.co/oTNWZmxTrG
📄 Using Humans as Sensors: An Estimation-theoretic Perspective
The explosive growth in social network content suggests that the largest ""sensor network"" yet might be human. This paper explores the prospect of utilizing social networks as sensor networks, which gives rise to an interesting reliable sensing problem. Individuals are represented by sensors (data sources) who occasionally make observations about the physical world. These observations may be true or false, and are viewed as binary claims. The reliable sensing problem is to determine the correctness of reported observations.
From a networked sensing standpoint, what makes this sensing problem formulation different is that, in the case of human participants, not only is the reliability of sources usually unknown but also the original data provenance may be uncertain. Individuals may report observations made by others as their own. The contribution of this paper lies in developing a model that considers the impact of such information sharing on the analytical foundations of reliable sensing, & embed it into a tool called Apollo that uses Twitter as a ""sensor network"" for observing events in the physical world. Evaluation, using Twitter-based case-studies, shows good correspondence between observations deemed correct by Apollo & ground truth.
https://t.co/f5afVa8AQx
🔸Apollo
Social Sensing Toolkit
Apollo is a real-time social media data analysis toolkit for tracking current events & for retaining a reliable situation understanding from noisy streaming social media data. Apollo distills large amounts of social media chatter on ongoing events into a smaller amount of high-value content, expressed in the original words & images of its sources. It offers both a real-time situation view, & an archival event analysis capability.
https://t.co/EkOdUqXYIk
📄 A survey on social-physical sensing (SPS): An emerging sensing paradigm that explores the collective intelligence of humans and machines
“The second major type of SPS melds social media signals with mobile physical sensor data for knowledge extraction. Examples of this type of SPS are: (i) contact tracing of contagious diseases such as COVID-19 w/ integrated social media & wearable sensors, (ii) road damage detection using satellite imagery & social media, and (iii) anomaly detection with social airborne sensing (SAS) where social media signals are used to drive UAVs to locations involved with critical events such as natural disasters.”
PDF DOWNLOAD
https://t.co/Wa5XEzQOjJ](https://pbs.twimg.com/media/GsSWPxcWYAAZ6jD.jpg)
![Ryansikorski10's tweet photo. Social Media (X formally known as Twitter) = Social Sensor Network (SSN)
🚨 Social media platforms like Twitter, Facebook, Instagram, LinkedIn and many others can be defined as a network of interactions of relationships, where the nodes are actors or entities and the edges represent the relationship among them.[10] 🚨
Social Sensor Project
SocialSensor collects, processes, & aggregates big streams of social media data and multimedia to discover trends, events, influencers, and interesting media content.
https://t.co/G8eTvP9A3t
📄 TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
“The interconnection of sensors in the form of Wireless Sensor Networks (WSN) allows the creation of distributed infrastructures for monitoring in Smart Cities (real-time) & retrieving information about the behavior of people (IoB), the occurrence of events of interest and general conditions about the environment for an uncountable number of applications.”
Optimizing transmissions of sensed data is of utmost importance in any type of scenario when it comes to Wireless Sensor Networks (WSN).
https://t.co/GkZwpLpJcH
[10] 📄 An introduction to social network data analytics
“Social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis.”
PDF DOWNLOAD
https://t.co/oTNWZmxTrG
📄 Using Humans as Sensors: An Estimation-theoretic Perspective
The explosive growth in social network content suggests that the largest ""sensor network"" yet might be human. This paper explores the prospect of utilizing social networks as sensor networks, which gives rise to an interesting reliable sensing problem. Individuals are represented by sensors (data sources) who occasionally make observations about the physical world. These observations may be true or false, and are viewed as binary claims. The reliable sensing problem is to determine the correctness of reported observations.
From a networked sensing standpoint, what makes this sensing problem formulation different is that, in the case of human participants, not only is the reliability of sources usually unknown but also the original data provenance may be uncertain. Individuals may report observations made by others as their own. The contribution of this paper lies in developing a model that considers the impact of such information sharing on the analytical foundations of reliable sensing, & embed it into a tool called Apollo that uses Twitter as a ""sensor network"" for observing events in the physical world. Evaluation, using Twitter-based case-studies, shows good correspondence between observations deemed correct by Apollo & ground truth.
https://t.co/f5afVa8AQx
🔸Apollo
Social Sensing Toolkit
Apollo is a real-time social media data analysis toolkit for tracking current events & for retaining a reliable situation understanding from noisy streaming social media data. Apollo distills large amounts of social media chatter on ongoing events into a smaller amount of high-value content, expressed in the original words & images of its sources. It offers both a real-time situation view, & an archival event analysis capability.
https://t.co/EkOdUqXYIk
📄 A survey on social-physical sensing (SPS): An emerging sensing paradigm that explores the collective intelligence of humans and machines
“The second major type of SPS melds social media signals with mobile physical sensor data for knowledge extraction. Examples of this type of SPS are: (i) contact tracing of contagious diseases such as COVID-19 w/ integrated social media & wearable sensors, (ii) road damage detection using satellite imagery & social media, and (iii) anomaly detection with social airborne sensing (SAS) where social media signals are used to drive UAVs to locations involved with critical events such as natural disasters.”
PDF DOWNLOAD
https://t.co/Wa5XEzQOjJ](https://pbs.twimg.com/media/GsSWPt2W4AAM6B-.jpg)
![Ryansikorski10's tweet photo. Social Media (X formally known as Twitter) = Social Sensor Network (SSN)
🚨 Social media platforms like Twitter, Facebook, Instagram, LinkedIn and many others can be defined as a network of interactions of relationships, where the nodes are actors or entities and the edges represent the relationship among them.[10] 🚨
Social Sensor Project
SocialSensor collects, processes, & aggregates big streams of social media data and multimedia to discover trends, events, influencers, and interesting media content.
https://t.co/G8eTvP9A3t
📄 TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
“The interconnection of sensors in the form of Wireless Sensor Networks (WSN) allows the creation of distributed infrastructures for monitoring in Smart Cities (real-time) & retrieving information about the behavior of people (IoB), the occurrence of events of interest and general conditions about the environment for an uncountable number of applications.”
Optimizing transmissions of sensed data is of utmost importance in any type of scenario when it comes to Wireless Sensor Networks (WSN).
https://t.co/GkZwpLpJcH
[10] 📄 An introduction to social network data analytics
“Social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis.”
PDF DOWNLOAD
https://t.co/oTNWZmxTrG
📄 Using Humans as Sensors: An Estimation-theoretic Perspective
The explosive growth in social network content suggests that the largest ""sensor network"" yet might be human. This paper explores the prospect of utilizing social networks as sensor networks, which gives rise to an interesting reliable sensing problem. Individuals are represented by sensors (data sources) who occasionally make observations about the physical world. These observations may be true or false, and are viewed as binary claims. The reliable sensing problem is to determine the correctness of reported observations.
From a networked sensing standpoint, what makes this sensing problem formulation different is that, in the case of human participants, not only is the reliability of sources usually unknown but also the original data provenance may be uncertain. Individuals may report observations made by others as their own. The contribution of this paper lies in developing a model that considers the impact of such information sharing on the analytical foundations of reliable sensing, & embed it into a tool called Apollo that uses Twitter as a ""sensor network"" for observing events in the physical world. Evaluation, using Twitter-based case-studies, shows good correspondence between observations deemed correct by Apollo & ground truth.
https://t.co/f5afVa8AQx
🔸Apollo
Social Sensing Toolkit
Apollo is a real-time social media data analysis toolkit for tracking current events & for retaining a reliable situation understanding from noisy streaming social media data. Apollo distills large amounts of social media chatter on ongoing events into a smaller amount of high-value content, expressed in the original words & images of its sources. It offers both a real-time situation view, & an archival event analysis capability.
https://t.co/EkOdUqXYIk
📄 A survey on social-physical sensing (SPS): An emerging sensing paradigm that explores the collective intelligence of humans and machines
“The second major type of SPS melds social media signals with mobile physical sensor data for knowledge extraction. Examples of this type of SPS are: (i) contact tracing of contagious diseases such as COVID-19 w/ integrated social media & wearable sensors, (ii) road damage detection using satellite imagery & social media, and (iii) anomaly detection with social airborne sensing (SAS) where social media signals are used to drive UAVs to locations involved with critical events such as natural disasters.”
PDF DOWNLOAD
https://t.co/Wa5XEzQOjJ](https://pbs.twimg.com/media/GsSWPsZWUAAnjNn.jpg)
![Ryansikorski10's tweet photo. The smart bio-electronic patch for wireless drugging
A flexible bioelectronic microneedle patch (FBMP) that integrates flexible electronics for actively controlled transdermal delivery.
The FBMP incorporates a flexible printed circuit board (FPCB), a eutectic gallium-indium (EGaIn) heating film, & dual-layer microneedles w/ a polyvinyl alcohol (PVA) core & polycaprolactone (PCL) shell.
This configuration allows real-time adjustment of the thermal response rate via smartphone-controlled Bluetooth, achieving rapid drug release w/in 2 min or sustained release over 10 h.
https://t.co/JDRxsnZSVp
They will try to wirelessly drug people using transdermal delivery systems inside of flexible wearables (organic electronics) which will drive small molecules thru the skin's barrier to directly interface w/ ur skin tissue & body fluids using a technique called iontophoresis.
Instead of sitting permanently inside u, this patch creates a temporary bionic interface right at the surface of ur skin. It reads ur body's signals & pushes targeted molecules (like localized pain-relievers, hormones, or neurological treatments) deep into ur tissue on demand.
The patch contains tiny reservoirs of a small-molecule drug, a flexible battery, a series of micro-electrodes, & nano-sensors that touch the skin. The goal is to train a personalized AI that predicts a symptom before the person even feels it, & uses electrical currents to precisely drive the exact dosage of drugs thru the skin to stop it.
ACTIVApatch® IntelliDose™ 2.5 Iontophoresis Drug Delivery Patch – Wireless, Disposable, Self-Contained System
The ACTIVApatch® IntelliDose™ 2.5 is a cutting-edge, disposable, non-invasive iontophoresis system designed to deliver precise, reliable, and efficient drug delivery w/ advanced SmartPower™ LED tech.
This wireless, self-contained drug delivery patch ensures intelligent, accurate iontophoresis treatment w/ visible feedback, offering enhanced confidence & control.
https://t.co/NqKrY9hhez
In the area of drug delivery, organic electronics have enabled new, precisely controlled systems. Organic electrochemical transistor (OECT)-controlled iontophoretic devices have been developed for transdermal drug delivery [127].https://t.co/lp2jDjXtuB These systems use electrical signals to drive charged drug molecules thru the skin, allowing for on-demand, controlled release of medications. Organic electronic ion pumps represent another innovative approach to localized, on-demand drug delivery. These devices can precisely control the release of charged biomolecules w/ high spatiotemporal resolution, opening up new possibilities for targeted therapies [128].https://t.co/RPmsWDiPHc
Hormone sensing is another area where organic electronics have made significant strides. OECT-based sensors for cortisol, a key stress hormone, have been developed for non-invasive stress monitoring via sweat analysis. These devices could provide valuable insights into stress levels & circadian rhythms, w/ potential apps in mental health monitoring & management. Organic chemiresistive sensors have been employed for the detection of thyroid hormones like T3 & T4. These sensors could enable easier, more frequent monitoring of thyroid function. Neurotransmitter sensing has also benefited from advances in organic electronics. OECT arrays have been developed for spatiotemporal mapping of dopamine release. These devices offer the potential for real-time monitoring of neurotransmitter activity. Enzyme-functionalized OECTs have shown promise for real-time glutamate monitoring. Glutamate is a key neurotransmitter, & its levels are associated w/ various neurological conditions. The ability to monitor glutamate levels in real-time could provide new insights into brain function & dysfunction.
The convergence of organic electronics w/ advanced sensing technologies, data analytics, & artificial intelligence promises to usher in a new era of AI precision medicine.
https://t.co/5lb5QTOBOK](https://pbs.twimg.com/media/HQwxrKsWwAAKLZl.jpg)
![Ryansikorski10's tweet photo. The smart bio-electronic patch for wireless drugging
A flexible bioelectronic microneedle patch (FBMP) that integrates flexible electronics for actively controlled transdermal delivery.
The FBMP incorporates a flexible printed circuit board (FPCB), a eutectic gallium-indium (EGaIn) heating film, & dual-layer microneedles w/ a polyvinyl alcohol (PVA) core & polycaprolactone (PCL) shell.
This configuration allows real-time adjustment of the thermal response rate via smartphone-controlled Bluetooth, achieving rapid drug release w/in 2 min or sustained release over 10 h.
https://t.co/JDRxsnZSVp
They will try to wirelessly drug people using transdermal delivery systems inside of flexible wearables (organic electronics) which will drive small molecules thru the skin's barrier to directly interface w/ ur skin tissue & body fluids using a technique called iontophoresis.
Instead of sitting permanently inside u, this patch creates a temporary bionic interface right at the surface of ur skin. It reads ur body's signals & pushes targeted molecules (like localized pain-relievers, hormones, or neurological treatments) deep into ur tissue on demand.
The patch contains tiny reservoirs of a small-molecule drug, a flexible battery, a series of micro-electrodes, & nano-sensors that touch the skin. The goal is to train a personalized AI that predicts a symptom before the person even feels it, & uses electrical currents to precisely drive the exact dosage of drugs thru the skin to stop it.
ACTIVApatch® IntelliDose™ 2.5 Iontophoresis Drug Delivery Patch – Wireless, Disposable, Self-Contained System
The ACTIVApatch® IntelliDose™ 2.5 is a cutting-edge, disposable, non-invasive iontophoresis system designed to deliver precise, reliable, and efficient drug delivery w/ advanced SmartPower™ LED tech.
This wireless, self-contained drug delivery patch ensures intelligent, accurate iontophoresis treatment w/ visible feedback, offering enhanced confidence & control.
https://t.co/NqKrY9hhez
In the area of drug delivery, organic electronics have enabled new, precisely controlled systems. Organic electrochemical transistor (OECT)-controlled iontophoretic devices have been developed for transdermal drug delivery [127].https://t.co/lp2jDjXtuB These systems use electrical signals to drive charged drug molecules thru the skin, allowing for on-demand, controlled release of medications. Organic electronic ion pumps represent another innovative approach to localized, on-demand drug delivery. These devices can precisely control the release of charged biomolecules w/ high spatiotemporal resolution, opening up new possibilities for targeted therapies [128].https://t.co/RPmsWDiPHc
Hormone sensing is another area where organic electronics have made significant strides. OECT-based sensors for cortisol, a key stress hormone, have been developed for non-invasive stress monitoring via sweat analysis. These devices could provide valuable insights into stress levels & circadian rhythms, w/ potential apps in mental health monitoring & management. Organic chemiresistive sensors have been employed for the detection of thyroid hormones like T3 & T4. These sensors could enable easier, more frequent monitoring of thyroid function. Neurotransmitter sensing has also benefited from advances in organic electronics. OECT arrays have been developed for spatiotemporal mapping of dopamine release. These devices offer the potential for real-time monitoring of neurotransmitter activity. Enzyme-functionalized OECTs have shown promise for real-time glutamate monitoring. Glutamate is a key neurotransmitter, & its levels are associated w/ various neurological conditions. The ability to monitor glutamate levels in real-time could provide new insights into brain function & dysfunction.
The convergence of organic electronics w/ advanced sensing technologies, data analytics, & artificial intelligence promises to usher in a new era of AI precision medicine.
https://t.co/5lb5QTOBOK](https://pbs.twimg.com/media/HQwxq9MXcAEu6Uz.jpg)
Olivia
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“God eternal within the body”
Joined July 2024
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Oral argument in Tina Peters appeal | Colorado Court of Appeals | Jan. 14, 2026
Rocky Mountain Voice
https://t.co/xNVhbpiGOH
Social Media (X formally known as Twitter) = Social Sensor Network (SSN)
🚨 Social media platforms like Twitter, Facebook, Instagram, LinkedIn and many others can be defined as a network of interactions of relationships, where the nodes are actors or entities and the edges represent the relationship among them.[10] 🚨
Social Sensor Project
SocialSensor collects, processes, & aggregates big streams of social media data and multimedia to discover trends, events, influencers, and interesting media content.
https://t.co/G8eTvP9A3t
📄 TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
“The interconnection of sensors in the form of Wireless Sensor Networks (WSN) allows the creation of distributed infrastructures for monitoring in Smart Cities (real-time) & retrieving information about the behavior of people (IoB), the occurrence of events of interest and general conditions about the environment for an uncountable number of applications.”
Optimizing transmissions of sensed data is of utmost importance in any type of scenario when it comes to Wireless Sensor Networks (WSN).
https://t.co/GkZwpLpJcH
[10] 📄 An introduction to social network data analytics
“Social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis.”
PDF DOWNLOAD
https://t.co/oTNWZmxTrG
📄 Using Humans as Sensors: An Estimation-theoretic Perspective
The explosive growth in social network content suggests that the largest ""sensor network"" yet might be human. This paper explores the prospect of utilizing social networks as sensor networks, which gives rise to an interesting reliable sensing problem. Individuals are represented by sensors (data sources) who occasionally make observations about the physical world. These observations may be true or false, and are viewed as binary claims. The reliable sensing problem is to determine the correctness of reported observations.
From a networked sensing standpoint, what makes this sensing problem formulation different is that, in the case of human participants, not only is the reliability of sources usually unknown but also the original data provenance may be uncertain. Individuals may report observations made by others as their own. The contribution of this paper lies in developing a model that considers the impact of such information sharing on the analytical foundations of reliable sensing, & embed it into a tool called Apollo that uses Twitter as a ""sensor network"" for observing events in the physical world. Evaluation, using Twitter-based case-studies, shows good correspondence between observations deemed correct by Apollo & ground truth.
https://t.co/f5afVa8AQx
🔸Apollo
Social Sensing Toolkit
Apollo is a real-time social media data analysis toolkit for tracking current events & for retaining a reliable situation understanding from noisy streaming social media data. Apollo distills large amounts of social media chatter on ongoing events into a smaller amount of high-value content, expressed in the original words & images of its sources. It offers both a real-time situation view, & an archival event analysis capability.
https://t.co/EkOdUqXYIk
📄 A survey on social-physical sensing (SPS): An emerging sensing paradigm that explores the collective intelligence of humans and machines
“The second major type of SPS melds social media signals with mobile physical sensor data for knowledge extraction. Examples of this type of SPS are: (i) contact tracing of contagious diseases such as COVID-19 w/ integrated social media & wearable sensors, (ii) road damage detection using satellite imagery & social media, and (iii) anomaly detection with social airborne sensing (SAS) where social media signals are used to drive UAVs to locations involved with critical events such as natural disasters.”
PDF DOWNLOAD
https://t.co/Wa5XEzQOjJ
![Ryansikorski10's tweet photo. Social Media (X formally known as Twitter) = Social Sensor Network (SSN)
🚨 Social media platforms like Twitter, Facebook, Instagram, LinkedIn and many others can be defined as a network of interactions of relationships, where the nodes are actors or entities and the edges represent the relationship among them.[10] 🚨
Social Sensor Project
SocialSensor collects, processes, & aggregates big streams of social media data and multimedia to discover trends, events, influencers, and interesting media content.
https://t.co/G8eTvP9A3t
📄 TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
“The interconnection of sensors in the form of Wireless Sensor Networks (WSN) allows the creation of distributed infrastructures for monitoring in Smart Cities (real-time) & retrieving information about the behavior of people (IoB), the occurrence of events of interest and general conditions about the environment for an uncountable number of applications.”
Optimizing transmissions of sensed data is of utmost importance in any type of scenario when it comes to Wireless Sensor Networks (WSN).
https://t.co/GkZwpLpJcH
[10] 📄 An introduction to social network data analytics
“Social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis.”
PDF DOWNLOAD
https://t.co/oTNWZmxTrG
📄 Using Humans as Sensors: An Estimation-theoretic Perspective
The explosive growth in social network content suggests that the largest ""sensor network"" yet might be human. This paper explores the prospect of utilizing social networks as sensor networks, which gives rise to an interesting reliable sensing problem. Individuals are represented by sensors (data sources) who occasionally make observations about the physical world. These observations may be true or false, and are viewed as binary claims. The reliable sensing problem is to determine the correctness of reported observations.
From a networked sensing standpoint, what makes this sensing problem formulation different is that, in the case of human participants, not only is the reliability of sources usually unknown but also the original data provenance may be uncertain. Individuals may report observations made by others as their own. The contribution of this paper lies in developing a model that considers the impact of such information sharing on the analytical foundations of reliable sensing, & embed it into a tool called Apollo that uses Twitter as a ""sensor network"" for observing events in the physical world. Evaluation, using Twitter-based case-studies, shows good correspondence between observations deemed correct by Apollo & ground truth.
https://t.co/f5afVa8AQx
🔸Apollo
Social Sensing Toolkit
Apollo is a real-time social media data analysis toolkit for tracking current events & for retaining a reliable situation understanding from noisy streaming social media data. Apollo distills large amounts of social media chatter on ongoing events into a smaller amount of high-value content, expressed in the original words & images of its sources. It offers both a real-time situation view, & an archival event analysis capability.
https://t.co/EkOdUqXYIk
📄 A survey on social-physical sensing (SPS): An emerging sensing paradigm that explores the collective intelligence of humans and machines
“The second major type of SPS melds social media signals with mobile physical sensor data for knowledge extraction. Examples of this type of SPS are: (i) contact tracing of contagious diseases such as COVID-19 w/ integrated social media & wearable sensors, (ii) road damage detection using satellite imagery & social media, and (iii) anomaly detection with social airborne sensing (SAS) where social media signals are used to drive UAVs to locations involved with critical events such as natural disasters.”
PDF DOWNLOAD
https://t.co/Wa5XEzQOjJ](https://pbs.twimg.com/media/GsSWPx6WwAANl7d.jpg)
Controlling Smart Devices With Your Mind
The space-time-coding (STC) metasurface enables precise control of the propagation direction and harmonic power distribution of the electromagnetic (EM) waves in both spatial and frequency domains.
By harnessing the abundant harmonic modulation capabilities and integrating the advantages of human brain intelligence, the brain space-time-coding metasurface (BSTCM) system facilitates the implementation of a secure, encrypted wireless communication system (harmonic encrypted beams) and enables smart device control by the human mind.
https://t.co/jYYTcXevbm
Interesting .
KAIST RAPIDO — IoT-enabled wireless neural implant
The KAIST RAPIDO is a sugar-cube-sized, IoT-enabled wireless neural implant that allows scientists to remotely control drug delivery and light stimulation in the brain via the internet from anywhere in the world.
A researcher in Chicago successfully operated an implant in Daejeon, South Korea, in real time over the internet.
The technology paves the way for intelligent medical devices (implantable nanotec) that combine brain-sensing and artificial intelligence to deliver drugs and neurostimulation via light remotely over the Internet anywhere on the globe.
https://t.co/WEMr3yqm4m
IoT-enabled wireless neural implant for chronic, programmable neuropharmacology and optogenetics
https://t.co/IcLaVn4rGH
A remotely actuated and programmable implant for drug delivery and optical stimulation (RAPIDO), which integrates a refillable, replaceable, and backflow-free fluidic module with a microscale inorganic light-emitting diode probe in a single miniaturized implant.
A replaceable cartridge with an integrated unidirectional valve enables rapid refilling with contamination-free dosing, while a programmable electrochemical pump provides multilevel flow-rate control and linear dose modulation. Dual wireless modes combine smartphone control for on-site interactive experiments with internet connectivity for remotely scheduled, observer-free operation.
By removing location constraints and minimizing experimenter involvement, dual-mode operation reduces observer-induced behavioral bias and expands the experimental scope to include long-duration, multisite, and automated neuromodulation protocols.
In this context, remote operation refers to experimenter-free neuromodulation during the behavioral testing phase, while necessary preparation steps such as drug loading and module attachment are performed before experiments. This capability makes the system suitable for long-term studies, circadian protocols, multianimal cohort experiments, and cross-institution collaborations. Geographic separation imposes no functional limitations—the Chicago (USA, GMT −5) to Daejeon (South Korea, GMT +9) demonstration simply illustrates that RAPIDO remains fully operable regardless of physical distance. The IoT GUI enables real-time operation; scheduled and automated, repeatable stimulation sequences; and event logging, allowing experiments to run unattended with precise timing control.
In freely behaving rodents, RAPIDO enabled repeated wireless pharmacological modulation of locomotor behavior and independent optogenetic manipulation of intracellular signaling during cocaine conditioning.
THIS PLATFORM ESTABLISHES A FOUNDATION FOR CHRONIC MULTIMODAL NEUROMODULATION, supporting long-term circuit studies across distributed laboratories.
Manuel Victores-Alzola, a criminal illegal alien from Cuba, convicted for THREE counts of engaging in sexual act with familial child in Miami, Florida.
The Teachers’ Union, originally a good idea to get better wages & protect teachers from criminal students, has morphed into a Left Wing Socialist, political Activist operation
Sadly, our kids are not being taught Reading, Writing or Arithmetic, but rather fake gender pronouns, how to use a litter box in the classroom if you identify as a cat, and how to attack parents if they insist that you study
The Teachers Union has one merit though, it has generated support for
HOME SCHOOLING and privatized schools!
Retragerera militarilor americani din România a fost doar vârful icebergului: SUA vor o reorganizare totală a NATO și exercită presiuni enorme asupra Europei
https://t.co/t9kxOaGrfc
Indoor blue heavy lighting keeps the nervous system switched on, cortisol high, melatonin low.
It’s all by design
Moscow’s Maria Zakharova says Chișinău is “handing the country over to Bucharest” after Romanian Claudiu Năsui was named Moldova’s economy minister.
CX-270842: The MITRE Corporation - All-Optical Chiplets for Energy-Efficient Artificial Intelligence
Funding will support the project team's small-scale research and development of COMPUTER CHIPLETS BASED ON PHOTONIC INTEGRATED CIRCUITS THAT USE LIGHT INSTEAD OF ELECTRICITY FOR COMPUTATION.
Specifically, the project team will:
(1) develop, fabricate, test, and validate photonic integrated circuit hardware components to meet predetermined metrics
(2) develop, test, and validate a digital twin model of system components and full integrated chiplet
(3) fabricate, test, and validate prototype chiplet to meet performance targets.
If successful, this project will result in photonic integrated circuits with two to three orders of magnitude of energy efficiency of AI systems, for use in MOBILE DEVICES, computing centers, and data centers, ultimately reducing dependence on foreign energy sources, thereby increasing U.S. energy security.
https://t.co/cJsdsROZ8z
The world's first biological server rack is officially online.
It uses 16 million living human neurons to process data and pioneer ultra-efficient AI.
The National University of Singapore, in partnership with startup Cortical Labs and infrastructure firm DayOne, has successfully deployed and activated the world's first biologically integrated server rack. Comprising 20 CL1 computing units, the system houses approximately 16 million living human neurons grown from stem cells and mounted onto microelectrode silicon chips. Operating outside of a traditional laboratory, these biological processors communicate directly with digital software through electrical impulses. Unlike silicon-based artificial intelligence, this adaptive, self-organizing system represents a monumental shift toward synthetic biological intelligence.
To keep the living processors viable, the server rack is integrated with an advanced mechanical life-support system that regulates temperature, maintains fluid balance, and delivers nutrients, sustaining the cells for an active six-month lifespan. The ultimate promise of this hybrid technology lies in its incredible energy efficiency: a single CL1 biological unit draws just 30 watts of power—including its life support—compared to upwards of 700 watts for a high-end Nvidia H100 silicon GPU. While not meant to fully replace traditional silicon, it opens a revolutionary, low-power path for specialized tasks like drug discovery, fraud detection, and adaptive robotics.
source: TechRepublic Staff. (2026). Singapore Switches On Biological Computing Rack With Living Human Neurons. TechRepublic.
Old construction is underrated.
- Brick
- Concrete
- Stone
All dense materials.
RF hates dense materials.
An 8-inch reinforced wall can reduce
2.4 GHz by ~29 dB → 99.9% signal reduction
5 GHz by ~48 dB → 99.99% signal reduction
When doubled (thicker), the attenuation roughly doubled (i.e. ~30 dB → ~60 dB) for the same frequencies.
If the bars drop when you walk inside,
Your walls are are doing their job.
The smart bio-electronic patch for wireless drugging
A flexible bioelectronic microneedle patch (FBMP) that integrates flexible electronics for actively controlled transdermal delivery.
The FBMP incorporates a flexible printed circuit board (FPCB), a eutectic gallium-indium (EGaIn) heating film, & dual-layer microneedles w/ a polyvinyl alcohol (PVA) core & polycaprolactone (PCL) shell.
This configuration allows real-time adjustment of the thermal response rate via smartphone-controlled Bluetooth, achieving rapid drug release w/in 2 min or sustained release over 10 h.
https://t.co/JDRxsnZSVp
They will try to wirelessly drug people using transdermal delivery systems inside of flexible wearables (organic electronics) which will drive small molecules thru the skin's barrier to directly interface w/ ur skin tissue & body fluids using a technique called iontophoresis.
Instead of sitting permanently inside u, this patch creates a temporary bionic interface right at the surface of ur skin. It reads ur body's signals & pushes targeted molecules (like localized pain-relievers, hormones, or neurological treatments) deep into ur tissue on demand.
The patch contains tiny reservoirs of a small-molecule drug, a flexible battery, a series of micro-electrodes, & nano-sensors that touch the skin. The goal is to train a personalized AI that predicts a symptom before the person even feels it, & uses electrical currents to precisely drive the exact dosage of drugs thru the skin to stop it.
ACTIVApatch® IntelliDose™ 2.5 Iontophoresis Drug Delivery Patch – Wireless, Disposable, Self-Contained System
The ACTIVApatch® IntelliDose™ 2.5 is a cutting-edge, disposable, non-invasive iontophoresis system designed to deliver precise, reliable, and efficient drug delivery w/ advanced SmartPower™ LED tech.
This wireless, self-contained drug delivery patch ensures intelligent, accurate iontophoresis treatment w/ visible feedback, offering enhanced confidence & control.
https://t.co/NqKrY9hhez
In the area of drug delivery, organic electronics have enabled new, precisely controlled systems. Organic electrochemical transistor (OECT)-controlled iontophoretic devices have been developed for transdermal drug delivery [127].https://t.co/lp2jDjXtuB These systems use electrical signals to drive charged drug molecules thru the skin, allowing for on-demand, controlled release of medications. Organic electronic ion pumps represent another innovative approach to localized, on-demand drug delivery. These devices can precisely control the release of charged biomolecules w/ high spatiotemporal resolution, opening up new possibilities for targeted therapies [128].https://t.co/RPmsWDiPHc
Hormone sensing is another area where organic electronics have made significant strides. OECT-based sensors for cortisol, a key stress hormone, have been developed for non-invasive stress monitoring via sweat analysis. These devices could provide valuable insights into stress levels & circadian rhythms, w/ potential apps in mental health monitoring & management. Organic chemiresistive sensors have been employed for the detection of thyroid hormones like T3 & T4. These sensors could enable easier, more frequent monitoring of thyroid function. Neurotransmitter sensing has also benefited from advances in organic electronics. OECT arrays have been developed for spatiotemporal mapping of dopamine release. These devices offer the potential for real-time monitoring of neurotransmitter activity. Enzyme-functionalized OECTs have shown promise for real-time glutamate monitoring. Glutamate is a key neurotransmitter, & its levels are associated w/ various neurological conditions. The ability to monitor glutamate levels in real-time could provide new insights into brain function & dysfunction.
The convergence of organic electronics w/ advanced sensing technologies, data analytics, & artificial intelligence promises to usher in a new era of AI precision medicine.
https://t.co/5lb5QTOBOK
![Ryansikorski10's tweet photo. The smart bio-electronic patch for wireless drugging
A flexible bioelectronic microneedle patch (FBMP) that integrates flexible electronics for actively controlled transdermal delivery.
The FBMP incorporates a flexible printed circuit board (FPCB), a eutectic gallium-indium (EGaIn) heating film, & dual-layer microneedles w/ a polyvinyl alcohol (PVA) core & polycaprolactone (PCL) shell.
This configuration allows real-time adjustment of the thermal response rate via smartphone-controlled Bluetooth, achieving rapid drug release w/in 2 min or sustained release over 10 h.
https://t.co/JDRxsnZSVp
They will try to wirelessly drug people using transdermal delivery systems inside of flexible wearables (organic electronics) which will drive small molecules thru the skin's barrier to directly interface w/ ur skin tissue & body fluids using a technique called iontophoresis.
Instead of sitting permanently inside u, this patch creates a temporary bionic interface right at the surface of ur skin. It reads ur body's signals & pushes targeted molecules (like localized pain-relievers, hormones, or neurological treatments) deep into ur tissue on demand.
The patch contains tiny reservoirs of a small-molecule drug, a flexible battery, a series of micro-electrodes, & nano-sensors that touch the skin. The goal is to train a personalized AI that predicts a symptom before the person even feels it, & uses electrical currents to precisely drive the exact dosage of drugs thru the skin to stop it.
ACTIVApatch® IntelliDose™ 2.5 Iontophoresis Drug Delivery Patch – Wireless, Disposable, Self-Contained System
The ACTIVApatch® IntelliDose™ 2.5 is a cutting-edge, disposable, non-invasive iontophoresis system designed to deliver precise, reliable, and efficient drug delivery w/ advanced SmartPower™ LED tech.
This wireless, self-contained drug delivery patch ensures intelligent, accurate iontophoresis treatment w/ visible feedback, offering enhanced confidence & control.
https://t.co/NqKrY9hhez
In the area of drug delivery, organic electronics have enabled new, precisely controlled systems. Organic electrochemical transistor (OECT)-controlled iontophoretic devices have been developed for transdermal drug delivery [127].https://t.co/lp2jDjXtuB These systems use electrical signals to drive charged drug molecules thru the skin, allowing for on-demand, controlled release of medications. Organic electronic ion pumps represent another innovative approach to localized, on-demand drug delivery. These devices can precisely control the release of charged biomolecules w/ high spatiotemporal resolution, opening up new possibilities for targeted therapies [128].https://t.co/RPmsWDiPHc
Hormone sensing is another area where organic electronics have made significant strides. OECT-based sensors for cortisol, a key stress hormone, have been developed for non-invasive stress monitoring via sweat analysis. These devices could provide valuable insights into stress levels & circadian rhythms, w/ potential apps in mental health monitoring & management. Organic chemiresistive sensors have been employed for the detection of thyroid hormones like T3 & T4. These sensors could enable easier, more frequent monitoring of thyroid function. Neurotransmitter sensing has also benefited from advances in organic electronics. OECT arrays have been developed for spatiotemporal mapping of dopamine release. These devices offer the potential for real-time monitoring of neurotransmitter activity. Enzyme-functionalized OECTs have shown promise for real-time glutamate monitoring. Glutamate is a key neurotransmitter, & its levels are associated w/ various neurological conditions. The ability to monitor glutamate levels in real-time could provide new insights into brain function & dysfunction.
The convergence of organic electronics w/ advanced sensing technologies, data analytics, & artificial intelligence promises to usher in a new era of AI precision medicine.
https://t.co/5lb5QTOBOK](https://pbs.twimg.com/media/HQwxrZ1WUAA57n6.jpg)
@wvgovernor What the hell are you doing! That money should go to the people of West Virginia! Not your personal nonprofit to pay for BS! This is truly a slap in the face to West Virginia citizens, schools already give to this shit!
@WiseGroundhog @Vasile_Tofan @GuvernulRMD Păcănelele îs ale lor DUMBWAGTHEFOG și pentru ele lumina este cu duiumul!
Trump blocks some foreign grid equipment as part of emergency declaration https://t.co/a4wnQOwoK8
Watch. Listen. See how childish, how easily triggered, and how petty Senator Booker acts. 🤯😂😱😂
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