This work introduces SENSOTERIC, a multi-partner project that aims at leveraging the properties of emerging Reconfigurable Field Effect Transistors (RFETs) to develop a sensor platform. RFETs will be used for a generic sensor interface and for a dedicated transducer element. In the first case, our goal is to develop an analog front-end interface that can be tuned at runtime to adapt to different environmental conditions and be used in a broad spectrum of applications. This feature shall be enabled by the polarity-control and negative differential resistance characteristics of the reconfigurable devices employed, that are co-integrable on industrial CMOS processes such as 22 nm FDSOI. In the second case, we want to exploit the intrinsic nature of these doping-free devices to yield better 1/f noise performances when compared to classic CMOS transducers. Moreover, the presence of un-gated areas on top of the channel of these devices makes them the perfect candidates to be functionalized. In this early-stage overview of the project, we will introduce the key features and the vision that make SENSOTERIC a unique contribution towards smart sensing solutions in environmental monitoring and healthcare.

Reconfigurable field-effect transistors (RFETs), allowing dynamic run-time switching between n- and p-type operation, are already considered a viable CMOS add-on technology to enable adaptive computing concepts. Beyond that, exploiting the multi-gate architecture of RFETs can also be beneficial for analog circuits but has been less explored. Here, we experimentally demonstrate an adaptive current mirror based on Ge RFETs with the ability of electrostatic compensation of device-to-device variations, enabling an ideal current mirror that can even be switched between n- and p-type operation. Furthermore, the IOUT/IIN-ratio can be adjusted electrostatically without the need for additional devices. This enhances the abilities of traditional current mirrors that are not adjustable after manufacturing without the need for complex additional circuitry.

Vulnerabilities in open-source software, particularly in ecosystems like Maven Central, propagate risks across projects. This paper examines vulnerability trends in Maven artifacts, focusing on recurrence patterns, user behavior after disclosures, and the link between popularity and exposure. Analyzing 24 vulnerable artifacts and $2,900+$ releases, we find recurring risks in previously vulnerable artifacts, significant intravs. extra-organizational differences in user behavior, and minimal correlation between popularity and vulnerability exposure. These results underscore the need for proactive security, effective disclosures, and better dependency management to strengthen ecosystem resilience.

We present a compact optical programmable ASIC-based tag for the identification of novel drug candidates, requiring no external components. Our tag aims for a time and cost-efficient solution to keep track of compounds during the split and pool synthesis. The ASIC is self-powered by integrated solar cells and optimized for intensive light in the range of 10Mlx. This intensive illumination can cause unwanted leakage currents in p-n junctions. Therefore, extensive care was taken to provide shielding for sensitive parts of the circuit and measurements prove the effectiveness. The ASIC is manufactured in a 0.6µm process including special devices like EEPROM and photodiodes. Our tag contains an oscillator, optical receiver, reference voltage, and a digital controller. A custom optical communication protocol provides an energy-efficient data link to the smart tag with continuous power transfer.