On-Chip Micro Temperature Controllers Based on Freestanding Thermoelectric Nano Films for Low-Power Electronics.

Multidimensional integration and multifunctional component assembly have been greatly explored in recent years to extend Moore's Law of modern microelectronics. However, this inevitably exacerbates the inhomogeneity of temperature distribution in microsystems, making precise temperature control for electronic components extremely challenging. Herein, we report an on-chip micro temperature controller including a pair of thermoelectric legs with a total area of 50 × 50 μm, which are fabricated from dense and flat freestanding BiTe-based thermoelectric nano films deposited on a newly developed nano graphene oxide membrane substrate.

[Abdominoplasties and Suppurative Hydradenitis (Acne inversa) in Patients after Massive Weight Loss].

Post-bariatric surgical procedures in patients after massive weight loss (MWL) are often associated with elevated minor and major complications (17-55%). If there is additionally a long history of hydradenitis suppurativa (HS) in the lower abdomen and groin area, complications of infection can appear in all patients. Differentiated pre-, peri- and postoperative therapy regime is then indicated.

Exchange Bias Effect of Ni@(NiO,Ni(OH)) Core/Shell Nanowires Synthesized by Electrochemical Deposition in Nanoporous Alumina Membranes.

Tuning and controlling the magnetic properties of nanomaterials is crucial to implement new and reliable technologies based on magnetic hyperthermia, spintronics, or sensors, among others. Despite variations in the alloy composition as well as the realization of several post material fabrication treatments, magnetic heterostructures as ferromagnetic/antiferromagnetic coupled layers have been widely used to modify or generate unidirectional magnetic anisotropies. In this work, a pure electrochemical approach has been used to fabricate core (FM)/shell (AFM) Ni@(NiO,Ni(OH)) nanowire arrays, avoiding thermal oxidation procedures incompatible with integrative semiconductor technologies.

aEYE: A deep learning system for video nystagmus detection.

Background: Nystagmus identification and interpretation is challenging for non-experts who lack specific training in neuro-ophthalmology or neuro-otology. This challenge is magnified when the task is performed telemedicine. Deep learning models have not been heavily studied in video-based eye movement detection.

Geometrical Optimization and Thermal-Stability Characterization of Te-Free Thermoelectric Modules Based on MgAgSb/Mg (Bi,Sb).

Solid-state thermoelectric (TE) technology is a promising approach to harvest low-grade waste heat (<573 K) and converts it to useful electricity in industrial and civilian settings. After decades of efforts in improving the figure-of-merit (zT) of TE materials, the development of advanced modules has started springing up in recent years. Although high-performance modules have been largely reported based on the successful material improvement, it remains less investigated how and whether the module-level designs can further increase the conversion efficiency.