Exposing all Invasive and Evil Mechanisms of the Enemy of Freedom and Organic Nature….

Publiziert am 5. Februar 2025 von AdminVI2021

Conspiracy Revelation: 5.2.2025: Exposing all Invasive and Evil Mechanisms of the Enemy of Freedom and Organic Nature….

ALL THESE NEW INVENTIONS ARE 100% misused against Targeted Individuals…don´t listen to their alleged benefits..these are all crimes against organic nature and humanity and 100% misused against 1000s of innocent people worldwide..

„Optogenetics, a recently developed technique that uses light to map and control brain activity, requires the genetic modification of an animal’s brain cells and the insertion of optical fibers and electrical wire into its brain. The bulky wires and fibers emerge from the skull, hampering the animal’s movement and making it difficult to perform certain experiments..“

Source: https://spectrum.ieee.org/injectable-optoelectronics-for-brain-control

„But now, a new ultrathin, flexible device laden with light-emitting diodes and sensors, both the size of individual brain cells, promises to make optogenetics completely wireless. The 20-micrometer-thick device can be safely injected deep into the brain and controlled and powered using radio-frequency signals. Its developers say the technology could also be used in other parts of the body, with broad implications for medical diagnosis and therapy.

In optogenetics, scientists genetically modify neurons to make them sensitive to particular wavelengths of light. Shining light on the altered neurons turns them on or off, allowing scientists to control specific brain circuits and change animal behavior.

Michael Bruchas, a neurobiologist at Washington University, in St. Louis, wanted to develop a wireless alternative to the fiber-optic approach. “Wires limit the animal’s natural behavior,” he says. “We couldn’t explore some experiments with the animals tethered, say, if we want two animals interacting or want them to be in a naturalistic environment.”

“ “The device illustrates the integration of miniaturized semiconductor devices deep within tissue, be it brain or the heart or any other organ,” Rogers says. More-sophisticated silicon-based microcircuits could be implanted in the future, he says, paving the way for applications in medical diagnosis, monitoring, and treatment.

The work “shows how miniaturization and systems integration guide us toward novel devices and applications,” says Thomas Stieglitz, a professor in the department of microsystems engineering at the University of Freiburg, in Germany. Stieglitz and his colleagues are also trying to develop a wireless, possibly biodegradable, implant for optogenetics.

“The ability to perform wireless stimulation and sensing is going to open up new doors for behavioral neuroscience, allowing the study of more complex behaviors, such as social interaction and mating behaviors,” says Kay Tye, a professor of neuroscience at MIT.
About the Author

Prachi Patel is a contributing editor to IEEE Spectrum. In February 2013, she reported on another optogenetics advance.
medical devicesoptoelectronicsoptogeneticsflexible electronicsgenetic modificationimplant“

Need to be destroyed…. all of them… + 1 Like.
„Zitat
Travis Wagner
@TWagner50245
30. Jan.
Antwort an @onlydjole
The Biolabs are WRAIR/DARPA managed under contract by the United States, The Central Bank of Canada, and the EU. Each lab complex in Ukraine Ajerbaijan, Uzbekistan, Africa, South America, Mexico, & the U.S. has multiple labs run by different countries.“

https://arxiv.org/pdf/2501.14423

„18.º CONGRESSO DO COMIT ´E PORTUGU ˆES DA URSI 1
Human Activity Recognition with a 6.5 GHz
Reconfigurable Intelligent Surface for Wi-Fi 6E
Nuno Paulino, Member, IEEE, Mariana Oliveira, Francisco Ribeiro, Lu´ıs Outeiro, Pedro A. Lopes, Francisco Vi-
larinho, Sofia In´acio, Lu´ıs M. Pessoa, Member IEEE.
Abstract—Human Activity Recognition (HAR) is the identifi-
cation and classification of static and dynamic human activities,
which find applicability in domains like healthcare, entertain-
ment, security, and cyber-physical systems. Traditional HAR
approaches rely on wearable sensors, vision-based systems, or
ambient sensing, each with inherent limitations such as privacy
concerns or restricted sensing conditions. Recently, Radio Fre-
quency (RF)-based HAR has emerged, relying on the interaction
of RF signals with people to infer activities. Reconfigurable Intel-
ligent Surfaces (RISs) offers significant potential in this domain
by enabling dynamic control over the wireless environment, thus
enhancing the information extracted from RF signals.
We present an Hand Gesture Recognition (HGR) approach
that employs our own 6.5 GHz RIS design to manipulate the
RF medium in an area of interest. We validate the capability
of our RIS to control the medium by characterizing its steering
response, and further we gather and publish a dataset for HGR
classification for three different hand gestures. By employing
two Convolutional Neural Networks (CNNs) models trained on
data gathered under random and optimized RIS configuration
sequences, we achieved classification accuracies exceeding 90 %.
Index Terms—reconfigurable intelligent surface, reflect-array,
WiFi-6E, antennas, beamsteering, RF sensing, human activity
classification
I. INTRODUCTION
HAR is a growing field dedicated to identifying and clas-
sifying all forms of human activity, encompassing both static
and dynamic motion [1]. Figure 1 illustrates different types
of human activity, which include static activities, dynamic
activities, and activities involving postural transitions [2].
Static activities include lying, sitting, and standing, which are
generally easier to identify but can be confused with similar
postures. Dynamic activities involve continuous movement,
such as walking or running, which require distinguishing
between different motion patterns. Activities with postural
transitions, such as sitting to standing or walking to jogging,
involve shifts between static and dynamic states and can be
particularly complex due to overlapping motion patterns.
The capability of performing accurate HAR has the potential
to significantly impact various domains [3]. In healthcare,
HAR can assist in monitoring patient conditions and detecting
early signs of medical issues [4]. In smart environments,
HAR can enhance home assistance services to improve quality
of life and autonomy [5]. In sports, it can contribute to
All authors are with INESC TEC (Institute for Systems and Computer En-
gineering, Technology and Science) and with the Faculty of Engineering, Uni-
versity of Porto, (Portugal). e-mail: {nuno.m.paulino, mariana.s.fonseca, fran-
cisco.m.ribeiro, luis.outeiro, pedro.a.lopes, francisco.g.vilarinho, sofia.i.inacio,
luis.m.pessoa}@inesctec.pt
Fig. 1. Types of Human Activity Recognition and respective examples.
improving personal health and well-being [6]. In security,
HAR can be used for surveillance to identify unusual events
[7]. Additionally, HAR improves human-computer interaction
(HCI) by enabling more intuitive and responsive interfaces [8].
However, HAR is complex, requiring selecting and de-
ploying suitable sensors to collect information-rich data, pre-
processing the data, and extracting relevant features. After-
ward, a range of approaches can be considered to process the
data, including machine learning and deep learning algorithms
to recognize activities [9]. Regarding specific sensor types,
HAR approaches may be vision-based, through monocular or
stereo cameras [10], based on sensors such as accelerom-
eters, which can be worn on the body or integrated into
smartphones or smartwatches to capture direct movement data
[11]. Additional sensors can provide secondary parameters
like temperature and humidity, and provide further contextual
information [12].
Another emergent method for HAR is the use of RF
characteristics of the environment, where data relative to the
interaction of stray or controllable RF signals with objects or
people within a given Space-of-Interest (SoI) is used as the
sensor component of the system. By relying on RF signals,
activities can be detected or classified through the effects
of body movements on the propagation of these signals,
allowing for HAR techniques that address concerns about
monitoring and privacy [13]. It does not require wearable or
environmental sensors, providing a noninvasive and lower cost
approach, instead exploiting the already existing plethora of
RF signals in the environment that originate from ubiquitous
commodity networks like 5G or WiFi. Since reflected RF
signals are also captured by receiving antenna.“

„꧁༒☬𝓣𝓗𝓔_2𝓷𝓭_𝓓𝓐𝓡𝓚_𝓐𝓖𝓔☬༒꧂
@The_2nd_DarkAge
REPLAY
IBM and the Fascists
Mockracy: A.I. and Corporatism.
A.I. Psychotronics Targeting all humans. #TargetedIndividuals
All controlled by the same tribe then and now.“

https://x.com/i/status/1853376381482324372

„꧁༒☬𝓣𝓗𝓔_2𝓷𝓭_𝓓𝓐𝓡𝓚_𝓐𝓖𝓔☬༒꧂ hat repostet
꧁•⊹٭𝚗𝚘𝚜𝚕𝚎𝚎𝚙٭⊹•꧂
@AwokeN_Sheep
4. Feb.
Antwort an
@The_2nd_DarkAge
Mengele in Canada was working for Mossad´s CIA PROJECT MK Ultra“