Magnetic memory effect in multiferroic K3Fe5F15 and K3Cr2Fe3F15

The fluorides K3Fe5F15 and K3Cr2Fe3F15 are known as multiferroic materials. Here we report the detection of a magnetic memory effect in these materials and its dependence on temperature and aging time. We succeeded in writing, reading, and deleting 3-bits digital information in these systems. These results show that in addition to their already known magneto-electric multiferroic properties, K3Fe5F15 and K3Cr2Fe3F15 also possess a new functionality: they can be used as materials for a thermal memory cell

AN INTELLIGENT POWER MOSFET DRIVER ASIC CIRCUIT WITH ADDITIONAL INTEGRATED SAFETY OPERATION FUNCITIONALITY

This paper presents an extension to the previously presented conference paper [1] a power MOSFET driver ASIC with intelligent driving algorithm approach of the power modern MOSFET devices. The intelligent driving algorithm concept proposes a realization of power MOSFET gate driving with controlled source/sink current of the power MOSFET driver circuit. Such approach enables higher control of the power MOSFET operation behavior, especially during switching events.  Additionally to the previously published work this paper presents implementation of the intelligent driving algorithm and driver safety operation functions on a single integrated ASIC circuit. The paper concludes with presentation of some functions of the manufactured ASIC circuit in CMOS technology

ASIC with Internally Generated Dynamic Magnetic Field Imitating External Moving Magnet

A magnetic microelectromechanical system with application specific integrated circuit using array of the Hall elements is presented. It is used for measurement of moving magnetic field, either for its rotary angle or for its linear position measurement. The advantage of the proposed method is to perform an onboard sensitivity testing of the Hall elements without using a complex external magnetic test setup. Evaluation of the integrated circuit is based the internally generated dynamic magnetic field which simulates external dynamic magnetic field. The simulations of the integrated circuit are supported by the measurement results. The verification of the realized system shows very similar behavior compared to the data acquired with the simulated models. Preferably acquired data of spatial distribution of the magnetic field could be used in the process of trimming to evaluate correction factors for offset and sensitivity of the Hall elements or the whole system to yield higher robustness

New dual ATP-competitive inhibitors of bacterial DNA gyrase and topoisomerase IV active against ESKAPE pathogens

The rise in multidrug-resistant bacteria defines the need for identification of new antibacterial agents that are less prone to resistance acquisition. Compounds that simultaneously inhibit multiple bacterial targets are more likely to suppress the evolution of target-based resistance than monotargeting compounds. The structurally similar ATP binding sites of DNA gyrase and topoisomerase. offer an opportunity to accomplish this goal. Here we present the design and structure-activity relationship analysis of balanced, low nanomolar inhibitors of bacterial DNA gyrase and topoisomerase IV that show potent antibacterial activities against the ESKAPE pathogens. For inhibitor 31c, a crystal structure in complex with Staphylococcus aureus DNA gyrase B was obtained that confirms the mode of action of these compounds. The best inhibitor, 31h, does not show any in vitro cytotoxicity and has excellent potency against Gram-positive (MICs: range, 0.0078-0.0625 mg/mL) and Gram-negative pathogens (MICs: range, 1-2 mg/mL). Furthermore, 31h inhibits GyrB mutants that can develop resistance to other drugs. Based on these data, we expect that structural derivatives of 31h will represent a step toward clinically efficacious multitargeting antimicrobials that are not impacted by existing antimicrobial resistance. (C) 2021 Elsevier Masson SAS. All rights reserved.Peer reviewe

A Differential Monolithically Integrated Inductive Linear Displacement Measurement Microsystem

An inductive linear displacement measurement microsystem realized as a monolithic Application-Specific Integrated Circuit (ASIC) is presented. The system comprises integrated microtransformers as sensing elements, and analog front-end electronics for signal processing and demodulation, both jointly fabricated in a conventional commercially available four-metal 350-nm CMOS process. The key novelty of the presented system is its full integration, straightforward fabrication, and ease of application, requiring no external light or magnetic field source. Such systems therefore have the possibility of substituting certain conventional position encoder types. The microtransformers are excited by an AC signal in MHz range. The displacement information is modulated into the AC signal by a metal grating scale placed over the microsystem, employing a differential measurement principle. Homodyne mixing is used for the demodulation of the scale displacement information, returned by the ASIC as a DC signal in two quadrature channels allowing the determination of linear position of the target scale. The microsystem design, simulations, and characterization are presented. Various system operating conditions such as frequency, phase, target scale material and distance have been experimentally evaluated. The best results have been achieved at 4 MHz, demonstrating a linear resolution of 20 µm with steel and copper scale, having respective sensitivities of 0.71 V/mm and 0.99 V/mm

Machine learning strategy for soil nutrients prediction using spectroscopic method

The research presented in this paper is based on the hypothesis that the machine learning approach improves the accuracy of soil properties prediction. The correlations obtained in this research are important for understanding the overall strategy for soil properties prediction using optical spectroscopy sensors. Several research results have been stated and investigated. A comparison is made between six commonly used techniques: Random Forest, Decision Tree, Naïve Bayes, Support Vector Machine, Least-Square Support Vector Machine and Artificial Neural Network, showing that the best prediction accuracy cannot always be achieved by the most common and complicated method. The influence of the chosen category for nutrient characterization was investigated, indicating better prediction when a multi-component strategy was used. In contrast, the prediction of single-component soil properties was less accurate. In addition, the influence of category levels was not as significant as expected when choosing between 3-level, 5-level or 13-level nutrient characterization for some nutrients, which can be used for a more precise nutrient characterization strategy. A comparative analysis was performed between soil from a local farm with similar texture and soils collected from different locations in Slovenia, which gave a better prediction for a local farm. Finally, the influence of principal component analysis was validated using 5, 10, 20 and 50 first principal components, indicating the better performance of machine learning when using the 50 principal components

SIARS (Smart I (eye) Advisory Rescue System) (LJ1 team)

SIARS is about modelling, developing and integration with selected existing Information Systems of a new state-of-the-art telemedical Information Systemsthat will allow saving more injured patients and lessen the death-rate on the battle fields. The system will be consisted of mobile device that will help the life-savers on the battlefield, gather and organize the medical data of the injured patient, use the satellite connection to transfer the data to the designated medical facility that will take medical care of the injured person. Specifically, implementing SIARS in multinational environment will positively influence on achieving NATO’s strategic objectives, which refers to human and social aspects of security. Consequently, it will increase the level of saving people’s lives (VIP, solders, civilians, etc.) in NATO –led operations and missions. The modules in SIARS (video-streaming of the injured person, constant monitoring and recording health condition of the patient during transportation, etc.) are initial steps, which will be used for accomplishing security goals in terms of human and social aspects of security