XAI-FR: Explainable AI-Based Face Recognition Using Deep Neural Networks.

Face Recognition aims at identifying or confirming an individual's identity in a still image or video. Towards this end, machine learning and deep learning techniques have been successfully employed for face recognition. However, the response of the face recognition system often remains mysterious to the end-user.

Wildlife-friendly food requires a multi-stakeholder approach to deliver landscape-scale biodiversity conservation in the Satoyama landscape of Japan.

Many global biodiversity hotspots have been cultivated for food for centuries and their unique agrobiodiversity is now under threat from land-use conversion, land abandonment or agricultural intensification. Wildlife-friendly farming (WFF) certification is a market-based approach that aims to alleviate the threats through charging a premium over conventional food products. This study explores the economic demand for WFF to protect biodiversity and maintain traditional rice cultivation in the Satoyama landscape of Japan by quantifying the price differential for key attributes of a landscape scale WFF scheme using choice experiments with consumers.

Facile preparation of Silicon/ZnO thin film heterostructures and ultrasensitive toxic gas sensing at room temperature: Substrate dependence on specificity.

Two types of silicon-Zinc oxide (ZnO) heterostructures were prepared simply by depositing (drop casting) chemically prepared ZnO nanoparticles onto single crystalline (p-type) silicon substrates (Si) as well as electrochemically prepared p-type porous silicon (PS). ZnO nanoparticles and PS/ZnO structures were characterized structurally by various techniques. By depositing in-plane gold contacts on the heterostructures, gas sensors were fabricated and characterized electrochemically by dc and ac impedance measurements.