In this paper, we propose a digital architecture for support vector machine (SVM) learning and discuss its implementation on field programmable gate array (FPGA). We analyze briefly the quantization effects performance of SVM in classification problems to show robustness, feedforward phase, respect fixed-point math implementations; then, address problem learning. The described here makes use new algorithm which is less sensitive errors solution appeared so far literature. composed two parts:...

This paper presents the design and implementation of input/output (I/O) interface circuits for Gb/s-per-pin operation, fully compatible with low-voltage differential signaling (LVDS) standard. Due to transmission technique low voltage swing, LVDS allows high speeds power consumption at same time. In proposed transmitter, required tolerance on dc output levels was achieved over process, temperature, supply variations neither external components nor trimming procedures, by means a closed-loop...

The design of bandgap-based voltage references in digital CMOS raises several difficulties, as the supply is lower than silicon bandgap electron volts, i.e., 1.2 V. A current-mode architecture used order to address main issues posed by low supply, but implementation operational amplifier and dedicated startup circuits deserves some attention. Even if nonstandard devices such depletion-mode MOS transistors may be helpful manage scaling, they are seldom available poorly characterized....

Abstract Acquired resistance to BRAFV600E inhibitors (BRAFi) in melanoma remains a common clinical obstacle, as is the case for any targeted drug therapy that can be developed given plastic nature of cancers. Although there has been significant focus on cancer cell-intrinsic properties BRAFi resistance, impact host immunity not explored. Here we provide preclinical evidence an autochthonous mouse model associated with restoration myeloid-derived suppressor cells (MDSC) tumor...

Regulatory T cells (Treg) are critical mediators of immunosuppression in established tumors, although little is known about their role restraining immunosurveillance during tumorigenesis. Here, we employ an inducible autochthonous model melanoma to investigate the earliest Treg and CD8 effector T-cell responses oncogene-driven Induction oncogenic BRAFV600E loss Pten melanocytes led localized accumulation FoxP3+ Tregs, but not cells, within 1 week detectable increases melanocyte...

A growing body of evidence suggests that BRAF inhibitors, in addition to their acute tumor growth-inhibitory effects, can also promote immune responses melanoma. The present study aimed define the immunologic basis BRAF-inhibitor therapy using Braf/Pten model inducible, autochthonous melanoma on a pure C57BL/6 background. In microenvironment, inhibitor PLX4720 functioned by on-target mechanisms selectively decrease both proportions and absolute numbers CD4(+)Foxp3(+) regulatory T cells...

A low-dropout (LDO) regulator with a quiescent current in the tens of nanoampere range and operating from 800-mV supply is proposed. rail-to-rail buffer zero input-output (I/O) voltage shift based on differential flipped follower used for combined gate bulk driving output device. Therefore, modulation forward body bias implemented without any additional amplifier. The proposed crucial block sub-1-V limiting contribution device to current. error amplifier (EA) adaptively biased shaper block,...

The measurement of the analyte concentration in electrochemical biosensors traditionally requires costly laboratory equipment to obtain accurate results. Innovative portable solutions have recently been proposed, but usually, they lean on personal computers (PCs) or smartphones for data elaboration and exhibit poor resolution portability proprietary software. This paper presents a low-cost system, assembling an ad hoc-designed analog front end (AFE) development board equipped with system...

In clearing terrains contaminated or potentially by landmines and/or unexploded ordnances (UXOs), a quick wide-area surveillance is often required. Nevertheless, the identification of dangerous areas (instead detection each subsurface object) can be enough for some scenarios/applications, allowing suitable level security in cost-saving way. such framework, this paper describes probabilistic approach definition risk maps. Starting from measurement scattered electromagnetic field, probability...

In this letter, a new online inverse scattering methodology is proposed.The original problem recast into regression estimation one and successively solved by means of support vector machine (SVM).Although the approach can be applied to various applications, it results very suitable deal with buried object detection.The application SVMs solution such kind problems firstly illustrated.Then, some examples, concerning localization given from scattered field data acquired at number measurement...

This paper presents a switched-capacitor Sigma-Delta modulator designed in 90-nm CMOS technology, operating at 1.2-V supply voltage. The targets healthcare and medical diagnostic applications where the readout of small-bandwidth signals is required. design proposed A/D converter was optimized to achieve minimum power consumption area. A remarkable performance improvement obtained through integration low-noise amplifier with modified Miller compensation rail-to-rail output stage. manuscript...

The paper discusses the design of a power generation circuit suitable to provide supply voltage for passive UHF RFID tag. proposed differential rectifier exhibits low activation threshold and is compatible with digital CMOS technologies. chip obtained through Dickson-based multiplier an ultra low-power regulator

Nowadays, analytical techniques are moving towards the development of smart biosensing strategies for point-of-care accurate screening disease biomarkers, such as human epididymis protein 4 (HE4), a recently discovered serum marker early ovarian cancer diagnosis. In this context, present work represents first implementation competitive enzyme-labelled magneto-immunoassay exploiting homemade IoT Wi-Fi cloud-based portable potentiostat differential pulse voltammetry readout. The...

Recent advances in Internet-of-Things technology have opened the doors to new scenarios for biosensor applications. Flexibility, portability, and remote control access are of utmost importance move these devices people's homes or a Point-of-Care context rapidly share results with users their physicians. In this paper, an innovative portable device both quantitative semi-quantitative electrochemical analysis is presented. This can operate autonomously without need relying on other (e.g., PC,...

An IoT-WiFi smart and portable electrochemical immunosensor for the quantification of SARS-CoV-2 spike protein was developed with integrated machine learning features. The immunoenzymatic sensor is based on immobilization monoclonal antibodies directed at S1 subunit Screen-Printed Electrodes functionalized gold nanoparticles. analytical protocol involves a single-step sample incubation. Immunosensor performance validated in viral transfer medium which commonly used desorption nasopharyngeal...

Liquid biopsy is a non-invasive and efficient technique for the detection of tumor biomarkers in biological fluids, which currently represents new frontier theranostics precision medicine. Among mutations KRAS oncogene, p.G12D single nucleotide variation gene plays central role early diagnosis therapeutic treatment colorectal cancer. In this context, we developed highly sensitive magneto-genosensing assay based on PNA capture probes immobilized magnetic microbeads. To detect mutation two...

This paper discusses the design and implementation of a high-speed track-and-hold amplifier in 0.35-/spl mu/m CMOS, featuring 10-b resolution up to 185 MS/s. The implemented folded-cascode input buffer allows relatively large range, 1-V/sub pp/ differential, low harmonic distortion at same time. sampler is based oh switched-source-follower (SSF) architecture with double switch-off action saturation-mode switches, providing short aperture times high linearity. A spur-free dynamic range (SFDR)...

Buried object detection by means of microwave-based sensing techniques is faced in biomedical imaging, mine detection, and many other practical tasks.Whereas conventional methods used for such a problem consist solving nonlinear integral equations, this article considers recently proposed learning examples approach [1] based on Support Vector Machines, the that proved to be theoretically justified effective real world domains.The performance two different kernel functions: Gaussian...

In this paper, we propose an efficient implementation of support vector machines (SVMs) on a low-power and low-cost 8-bit microcontroller. The proposed solution can be advantageously used to implement smart sensors sensor networks for intelligent data analysis pervasive computing. A new model selection algorithm that allows fitting the resource constraints imposed by hardware architecture is proposed. Moreover, performance optimized which exploits CORDIC detailed discussed