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FPGAs play an increasing role in the reconfgurable accelerator landscape. A key challenge in designing FPGA-based systems is partitioning computation between processor cores and FPGAs. An appropriate division of labor is difcult to predict in advance and requires experiments and measurements. When an investigation requires rewriting part of the system in a new language or with a new programming mo

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Stream processing applications are naturally described as dataflow programs. Dataflow programs modelled as actor networks are well suited to describe concurrent and computationally intensive problems. Realistic dataflow programs are typically characterized by highly dynamic behaviour, limiting the applicability of static analysis techniques. In this work we explore using dynamic analyses of datafl

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The demand for an increased number of antennas at base stations is driving research on decentralized processing schemes aimed at reducing the information volume that has to be transferred to, and processed at, a central processing unit (CPU). Some of these schemes can reduce the dimensions of the data while achieving information-lossless processing with respect to centralized architectures. Howeve

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Most recent programming languages, such as Java, Python and Ruby, include a collection framework as part of their standard library (or runtime). The Java Collection Framework provides a number of collection classes, some of which implement the same abstract data type, making them interchangeable. Developers can therefore choose between several functionally equivalent options. Since collections hav

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After the commercial emergence of 5G, the research community is already putting its focus on proposing innovative solutions to enable the upcoming 6G. One important lesson put forth by 5G research was that scaling up the conventional multiple-input-multiple-output (MIMO) technology by increasing the number of antennas could be extremely beneficial for effectively multiplexing data streams in the s

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In this paper we propose a general power model along with a versatile optimization methodology that can be applied to different applications for minimizing service delay while satisfying power budget in data centers. We test our methodology on two totally different applications from both cloud computing and enterprise scenarios. Our solution is novel in that it takes into account the dependencies

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We consider the problem of approximating functions that arise in wave-equation imaging by sums of wave packets. Our objective is to find sparse decompositions of image functions, over a finite range of scales. We also address the naturally connected task of numerically approximating the wavefront set. We present an approximation where we use the dyadic parabolic decomposition, but the approach is

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The (14)C content of 60 human blood serum samples from residents of Malmö (Sweden) in 1978, obtained from a biobank, has been measured to estimate the accuracy of (14)C bomb-pulse dating. The difference between the date estimated using the Calibomb software and sampling date varied between -3 ± 0.4 and +0.2 ± 0.5 years. The average age deviation of all samples was -1.5 ± 0.7 years, with the delay

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A broadband high gain metasurface-based Fabry–Perot resonant cavity antenna (FPRCA) for polarization reconfigurable is proposed in this article. The antenna features a microstrip source antenna with a single-layer 2 × 2 circular patch metasurface, a ground plane, and a double-layer partially reflective surface (PRS), along with four resistors and two diodes. Characteristic mode analysis (CMA) is p

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The emergence of large language models (LLMs) has made it easier than ever to create chatbots capable of generating human-like responses to user inputs. Moreover, improvements in text-to-speech and speech-to-text make it possible to converse with these systems, not just in text but also through speech. These improvements have led to an increase in chatbot applications across various contexts, such

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Programming is a cognitively demanding exercise. Artificial Intelligence (AI) as a disruptive technology is redefining the practice of programming and transforming software engineering. As AI is evolving to a multimodal version that accommo- dates not only texts but also speech, images, and more, we see an opportunity to design eye-tracking based assistance to support programmers. Since AI has tak

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In this work, we present an actors-to-hardware design flow where applications are described as networks of actors and compiled to hardware. Specifically, we use the CAL actor language to describe these applications. CAL has previously been used to specify applications such as the MPEG-RVC decoder and is well suited for compilation to hardware. A key limitation of CAL is that the applications descr

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The reaction between pyrite (natural iron (II) disulfide) powder and potassium alkylxanthate has been studied in aqueous solution. Qualitative analysis of the compounds present on pyrite surfaces before and after treatment with ethylxanthate ions under different oxidation conditions has been performed by means of diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy. Atomic absorptio

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Nitro blue tetrazolium (NBT) staining in normal rat retina was previously found to be affected by inhibition of free radical-related enzyme systems, indicating that NBT might be useful as a marker of free radicals. The aim of the present study was to investigate NBT staining in rat retina in vitamin E deficiency and after blue light exposure, and also to measure hydrogen peroxide (H2O2) production

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Menstrual and reproductive factors and exogenous hormone use have been investigated as pancreatic cancer risk factors in case-control and cohort studies, but results have been inconsistent. We conducted a prospective examination of menstrual and reproductive factors, exogenous hormone use and pancreatic cancer risk (based on 304 cases) in 328,610 women from the EPIC cohort. Then, in a case-control

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The worldwide incidence of gastric adenocarcinoma (GC) is lower in women than in men. Furthermore, cancer patients treated with estrogens have been reported to have a lower subsequent risk of GC. The authors conducted a prospective analysis of menstrual and reproductive factors, exogenous hormone use, and GC in 335,216 women from the European Prospective Investigation Into Cancer and Nutrition, a