Miracle-dz/UniFAR-FTUs huggingface dataset:
DELTA: Distributed Locality-Aware Cache Partitioning for Tile-based Chip Multiprocessors

Cache partitioning in tile-based CMP architectures is a challenging problem because of i) the need to determine capacity allocations with low computational overhead and ii) the need to place allocations close to where they are used, in order to reduce access latency. Although, previous solutions have addressed the problem of reducing the computational overhead and incorporating locality-awareness, they suffer from the overheads of centrally determining allocations.In this paper, we propose DELTA, a novel distributed and locality-aware cache partitioning solution which works by exchanging asynchronous challenges among cores. The distributed nature of the algorithm coupled with the low computational complexity allows for frequent reconfigurations at negligible cost and for the scheme to be implemented directly in hardware. The allocation algorithm is supported by an enforcement mechanism which enables locality-aware placement of data. We evaluate DELTA on 16- and 64-core tiled CMPs with multi-programmed workloads. Our evaluation shows that DELTA improves performance by 9% and 16%, respectively, on average, compared to an unpartitioned shared last-level cache.
Tailored Ge-doped fibres for passive electron radiotherapy dosimetry

Study has been made of the thermoluminescence yield of various novel tailor-made silica fibres, 6 and 8 mol % Ge-doped, with four differing outer dimensions, comprised of flat and cylindrical shapes, subjected to electron irradiation. Main thermoluminescence dosimetric characteristics have been investigated, including the glow curve, dose response, energy dependence, minimum detectable dose, effective atomic number, linearity of index and sensitivity of the fibres. The studies have also established the uncertainties involved as well as the stability of response in terms of fading effect, reproducibility and annealing. In addition, dose-rate dependence was accounted for as this has the potential to be a significant factor in radiotherapy applications. The 6 and 8 mol % fibres have been found to provide highly linear dose response within the range 1 to 4 Gy, the smallest size flat fibre, 6 mol% Ge-doped, showing the greatest response by a factor of 1.1 with respect to the highly popular LiF phosphor-based medium TLD100. All of the fibres also showed excellent reproducibility with a standard deviation of < 2% and < 4% for 6 and 8 mol % Ge-doped fibres respectively. For fading evaluation, the smallest 6 mol% Ge-doped dimension flat fibre, i.e., 85 × 270 μm displayed the lowest signal loss within 120 days post-irradiation, at around 26.9% also showing a response superior to that of all of the other fibres. Moreover, all the fibres and TLD-100 chips showed independence with respect to electron irradiation energy and dose-rate. Compared with the 8 mol% Ge-doped optical fibres, the 6 mol% Ge-doped flat optical fibres have been demonstrated to possess more desirable performance features for passive dosimetry, serving as a suitable alternative to TLD-100 for medical irradiation treatment applications.
Meta-Analysis of Leukocyte Diversity in Atherosclerotic Mouse Aortas

Supplemental Digital Content is available in the text. The diverse leukocyte infiltrate in atherosclerotic mouse aortas was recently analyzed in 9 single-cell RNA sequencing and 2 mass cytometry studies. In a comprehensive meta-analysis, we confirm 4 known macrophage subsets—resident, inflammatory, interferon-inducible cell, and Trem2 (triggering receptor expressed on myeloid cells-2) foamy macrophages—and identify a new macrophage subset resembling cavity macrophages. We also find that monocytes, neutrophils, dendritic cells, natural killer cells, innate lymphoid cells-2, and CD (cluster of differentiation)-8 T cells form prominent and separate immune cell populations in atherosclerotic aortas. Many CD4 T cells express IL (interleukin)-17 and the chemokine receptor CXCR (C-X-C chemokine receptor)-6. A small number of regulatory T cells and T helper 1 cells is also identified. Immature and naive T cells are present in both healthy and atherosclerotic aortas. Our meta-analysis overcomes limitations of individual studies that, because of their experimental approach, over- or underrepresent certain cell populations. Mass cytometry studies demonstrate that cell surface phenotype provides valuable information beyond the cell transcriptomes. The present analysis helps resolve some long-standing controversies in the field. First, Trem2+ foamy macrophages are not proinflammatory but interferon-inducible cell and inflammatory macrophages are. Second, about half of all foam cells are smooth muscle cell-derived, retaining smooth muscle cell transcripts rather than transdifferentiating to macrophages. Third, Pf4, which had been considered specific for platelets and megakaryocytes, is also prominently expressed in the main population of resident vascular macrophages. Fourth, a new type of resident macrophage shares transcripts with cavity macrophages. Finally, the discovery of a prominent innate lymphoid cell-2 cluster links the single-cell RNA sequencing work to recent flow cytometry data suggesting a strong atheroprotective role of innate lymphoid cells-2. This resolves apparent discrepancies regarding the role of T helper 2 cells in atherosclerosis based on studies that predated the discovery of innate lymphoid cells-2 cells.
Big Data and High-Performance Analyses and Processes

The period of vast information and examination has arrived and is changing the world significantly. The field of information frameworks ought to be at the bleeding edge of comprehension and deciphering the effect of the two innovations and administration to lead the endeavors of business to inquire about in the information period. In this chapter, the author investigates administrative issues of business change coming about because of the original appropriation and inventive uses of information sciences in business. The author ends by giving an analysis of big data that covers all the analytical processes and future research headings.
Transgene expression in regenerating cotyledons and embryogenic cultures of Scots pine

are also known for their recalcitrance in tissue culture as well as for diYculties in genetic transformation. Particle Regenerating cotyledons and embryogenic cultures of bombardment has proved to be the method of choice for Scots pine (Pinus sylvestris L.) were used as targets several diYcult species mostly due to the large scale for gene delivery via particle bombardment. Both of explants that can be targeted by microprojectiles. target tissues differed in their response to selective The eVect of gene constructs, especially the regulative agents, regulative sequences of transferred genes, sequences, on transgene expression has also been observed and conditions optimal for particle bombardment. in coniferous tissues. In most of the studies, the constituOf the gene constructs tested, the pBI410 including tive CaMV 35S promoter has been eVective, but it has CaMV 35S promoter, AMV-translation enhancer and been possible to increase transient expression by using gusA5npt reporter and selectable marker gene fusion double 35S promoters alone or coupled to translation was the most suitable for cotyledon transformation, enhancers (Charest et al., 1993; Walter et al., 1994), or
Qualitative Study of Pediatric Early Warning Systems’ Impact on Interdisciplinary Communication in Two Pediatric Oncology Hospitals With Varying Resources

PURPOSE Hospitalized pediatric oncology patients are at high risk of deterioration and require frequent interdisciplinary communication to deliver high-quality care. Pediatric early warning systems (PEWS) are used by hospitals to reduce deterioration, but it is unknown how these systems affect communication about patient care in high- and limited-resource pediatric oncology settings. METHODS This qualitative study included semistructured interviews describing PEWS and subsequent team communication at 2 pediatric cancer centers, 1 in the United States and 1 in Guatemala. Participants included nurses, and frontline and intensive care providers who experienced recent deterioration events. Transcripts were coded and analyzed inductively using MAXQDA software. RESULTS The study included 41 providers in Guatemala and 42 providers in the United States (33 nurses, 30 ward providers, and 20 pediatric intensive care providers). Major themes identified include “hierarchy,” “empowerment,” “quality and method of communication,” and “trigger. ” All providers described underlying medical hierarchies affecting the quality of communication regarding patient deterioration events and identified PEWS as empowering. Participants from the United States described the algorithmic approach to care and technology associated with PEWS contributing to impaired clinical judgement and a lack of communication. In both settings, PEWS sparked interdisciplinary communication and inspired action. CONCLUSION PEWS enhance interdisciplinary communication in high- and limited-resource study settings by empowering bedside providers. Traditional hierarchies contributed to negative communication and, in well-resourced settings, technology and automation resulted in lack of communication. Understanding contextual elements is integral to optimizing PEWS and improving pediatric oncology outcomes in hospitals of all resource levels.
Non-Signalized Intersection Network Management With Connected and Automated Vehicles

Road network control is challenging but critical in enhancing urban traffic. This paper proposes a management method for a road network with non-signalized intersections in the connected-vehicle environment, which coordinates connected and automated vehicles’ movements to make the non-signalized intersections conflict-free and efficient. Firstly, the proposed method projects vehicles in road networks into virtual platoons and builds the road-network-wide conflict-free geometric topology considering the vehicles’ conflicting relationships, which describes the geometry car-following relationship in virtual platoons. Then, a distributed linear controller is designed considering vehicle dynamics and communication topology to organize vehicles’ movements with the desired geometric topology. Finally, simulations are conducted to verify the proposed method with different traffic demands. Simulation results show the proposed method can significantly improve traffic efficiency, as well as traffic safety.
Oxygen Pressure Influence on Properties of Nanocrystalline LiNbO3 Films Grown by Laser Ablation

Energy conversion devices draw much attention due to their effective usage of energy and resulting decrease in CO2 emissions, which slows down the global warming processes. Fabrication of energy conversion devices based on ferroelectric and piezoelectric lead-free films is complicated due to the difficulties associated with insufficient elaboration of growth methods. Most ferroelectric and piezoelectric materials (LiNbO3, BaTiO3, etc.) are multi-component oxides, which significantly complicates their integration with micro- and nanoelectronic technology. This paper reports the effect of the oxygen pressure on the properties of nanocrystalline lithium niobate (LiNbO3) films grown by pulsed laser deposition on SiO2/Si structures. We theoretically investigated the mechanisms of LiNbO3 dissociation at various oxygen pressures. The results of x-ray photoelectron spectroscopy study have shown that conditions for the formation of LiNbO3 films are created only at an oxygen pressure of 1 × 10−2 Torr. At low residual pressure (1 × 10−5 Torr), a lack of oxygen in the formed films leads to the formation of niobium oxide (Nb2O5) clusters. The presented theoretical and experimental results provide an enhanced understanding of the nanocrystalline LiNbO3 films growth with target parameters using pulsed laser deposition for the implementation of piezoelectric and photoelectric energy converters.
Transactivation by Retinoid X Receptor–Peroxisome Proliferator-Activated Receptor γ (PPARγ) Heterodimers: Intermolecular Synergy Requires Only the PPARγ Hormone-Dependent Activation Function

ABSTRACT The ability of DNA sequence-specific transcription factors to synergistically activate transcription is a common property of genes transcribed by RNA polymerase II. The present work characterizes a unique form of intermolecular transcriptional synergy between two members of the nuclear hormone receptor superfamily. Heterodimers formed between peroxisome proliferator-activated receptor γ (PPARγ), an adipocyte-enriched member of the superfamily required for adipogenesis, and retinoid X receptors (RXRs) can activate transcription in response to ligands specific for either subunit of the dimer. Simultaneous treatment with ligands specific for both PPARγ and RXR has a synergistic effect on the transactivation of reporter genes and on adipocyte differentiation in cultured cells. Mutation of the PPARγ hormone-dependent activation domain (named τc or AF-2) inhibits the ability of RXR-PPARγ heterodimers to respond to ligands specific for either subunit. In contrast, the ability of RXR- and PPARγ-specific ligands to synergize does not require the hormone-dependent activation domain of RXR. The results of in vitro and in vivo experiments indicate that binding of ligands to RXR alters the conformation of the dimerization partner, PPARγ, and modulates the activity of the heterodimer in a manner independent of the RXR hormone-dependent activation domain.
Performance Analysis of Financial Institution Operations in a NoSQL Columnar Database

The advent of Big Data has brought the need to analyse large volumes of data. The Hadoop ecosystem has been used to store and process this Big Data. Hadoop is composed of different frameworks, such as: HBase, a NoSQL column storage structure database; Hive framework to develop the data warehouse in distributed storage with SQL, used in Business Intelligence; Sqoop, to transfer data between Apache Hadoop and relational database structures; and others. The objective of this paper is to analyse the use of the Hadoop Ecosystem in a financial system to reduce the processing time that its transactions require. Results show that the Hadoop ecosystem improves the processing time in that financial database.
Blockchain-Based platform for Distribution AI

In recent years, the current artificial intelligence exposed user data privacy during training and the high cost of training are getting more and more attention, which are becoming an obstacle to the development of AI. We identify the main issues as data privacy, ownership, and exchange and model privacy, which are difﬁcult to be solved with the current centralized paradigm of machine learning training methodology or federating learning methodology. As a result, we propose a practical model training paradigm based on Blockchain, named Distributed AI, which aims to train a model with distributed data and to reserve the data ownership for their owners and the interest of trained model. In this new paradigm, we use Blockchain[3] as the base architecture in which we abstract different actors (i.e., model provider, data provider) taking different actions to archive own target, realize distributing encrypted model training by Federating Learning with different actors, set smart contract as model training infrastructure, set up notification server, pricing of training data is according to its contribution and therefore it is not about the exchange of data ownership.
M2M technology for bus fleet management. Case study: A college transportation system

Machine to Machine (M2M) and Internet of Things (IoT) allow cost reduction in telecommunications systems. Besides, the adaptation of conventional devices enhances functionality and maintenance in different systems. This paper describes a pilot plan to provide a real-time bus location for a college transport system in order administrators can schedule routes based on travel criteria. In this case study, the reports generated by bus locations are stored on a server to analyze routes for managing path options. Complement tools could be the continuous education to bus drivers for avoiding transit fines as well as digital surveys completed by users for feedback of those who live the experience.
Seroprevalence of Hepatitis E Virus in Forestry Workers from Trentino-Alto Adige Region (Northern Italy)

People with some occupational or recreational activities, such as hunters and veterinarians, may have increased risk to be infected by the hepatitis E virus (HEV). The aim of the present study was to establish whether forestry workers could be considered at a higher risk of HEV infection than a control group. One hundred and fifty sera from forestry workers and a control group of 85 sera were analysed by anti-HEV IgG antibodies detection using a commercial ELISA kit. The anti-HEV IgG seroprevalence was 14% for forestry workers and 9.4% for the control group. Comparing the risk of HEV infection in the two groups, there was no difference in the odds ratio. However, the seroprevalence in older subjects was higher in the forestry workers than in the control group. Two sera from forestry workers were also positive for anti-HEV IgM, and, in one of them, HEV-RNA was detected. Our findings showed an increase of seroprevalence with age, which is likely to reflect cumulative exposure to HEV over time. The occupation of forestry workers did not seem to be associated with a higher risk of HEV infection. The study provided new insights into the risk of acquiring HEV in occupational exposure workers with open-air activities.
The Differential Phosphorylation-Dependent Signaling and Glucose Immunometabolic Responses Induced during Infection by Salmonella Enteritidis and Salmonella Heidelberg in Chicken Macrophage-like cells

Salmonella is a burden to the poultry, health, and food safety industries, resulting in illnesses, food contamination, and recalls. Salmonella enterica subspecies enterica Enteritidis (S. Enteritidis) is one of the most prevalent serotypes isolated from poultry. Salmonella enterica subspecies enterica Heidelberg (S. Heidelberg), which is becoming as prevalent as S. Enteritidis, is one of the five most isolated serotypes. Although S. Enteritidis and S. Heidelberg are almost genetically identical, they both are capable of inducing different immune and metabolic responses in host cells to successfully establish an infection. Therefore, using the kinome peptide array, we demonstrated that S. Enteritidis and S. Heidelberg infections induced differential phosphorylation of peptides on Rho proteins, caspases, toll-like receptors, and other proteins involved in metabolic- and immune-related signaling of HD11 chicken macrophages. Metabolic flux assays measuring extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) demonstrated that S. Enteritidis at 30 min postinfection (p.i.) increased glucose metabolism, while S. Heidelberg at 30 min p.i. decreased glucose metabolism. S. Enteritidis is more invasive than S. Heidelberg. These results show different immunometabolic responses of HD11 macrophages to S. Enteritidis and S. Heidelberg infections.
A Smart Sensing Method for Real- Time Monitoring of Low Voltage Series-Arc-Fault

This paper proposes a smart sensing method for real-time monitoring of low voltage series arc fault. It is based on the wavelet coefficient mean-difference algorithm and the four spikes appearing within two fundamental periods criterion with adaptive threshold. The method also uses the hard thresholding wavelet denoising with the universal threshold. An arc fault factor and a load adaptation factor are introduced and combined with a correction factor, so allowing the selection of the adaptive threshold in real-time and the series arc fault detection.
Performance Analysis and Evaluation of Frequency-Locked Loop for Weak GNSS Signals Based on Spectral Line Interpolation

In order to track weak signals, GNSS receivers often use a frequency-locked loop (FLL) to track the carrier frequency. The performance of the frequency discriminator directly affects the receiver’s signal tracking capability in the FLL. In weak signals, FFT is currently used to estimate the carrier frequency. However, the FFT has a fence effect. The signal length affects the accuracy of the frequency estimation. According to the problem of FFT frequency estimation with low accuracy, we introduce three frequency estimators, which have good frequency estimation performances under low signal-to-noise ratio for GNSS weak signal tracking and propose a carrier frequency tracking method. The article compares and analyzes the estimation error performance of different frequency discriminators in detail. The simulation experiments are used to verify and analyze the tracking sensitivity of the tracking loop under different carrier-to-noise ratios. Theoretical analysis and simulation results show that these estimators effectively improve the accuracy of frequency estimation compared to traditional FFT estimator. Using the open-loop tracking structure, the tracking sensitivity can reach 24 dB-Hz when the coherent integration time is 20 ms and the number of signal samples is 16. Adding a loop filter, the tracking threshold can be improved to 20 dB-Hz.
DPF-ECC: Accelerating Elliptic Curve Cryptography with Floating-Point Computing Power of GPUs

Driven by artificial intelligence (AI) and computer vision industries, Graphics Processing Units (GPUs) are now rapidly achieving extraordinary computing power. In particular, the floating-point computing power, which is heavily relied on by graphics rendering and AI computation workload, is developing much faster in GPUs. Meanwhile, in many fields such as ecommerce and online finance, the demand for cryptographic operations for secure communications and authentication is also expanding.In this contribution, targeting the important cryptographic primitives widely used in TLS 1.3, etc., we implement Curve25519 and Edwards25519 with GPUs’ floating-point computing power, where various performance optimization methods are customized for the target platform, including novel big-number representations combined with a new floating-point-based computing algorithm, efficient merged reduction strategies, and curve-level acceleration. This paper reports record-setting performance for the elliptic-curve method: on TITAN V, we respectively achieve 7.21 and 77.30 million operations per second of unknown and known point multiplication of Edwards25519, and 13.55 million operations per second of point multiplication of Curve25519. To the best of our knowledge, this contribution is the first to show that floating-point-based ECC implementations can outperform the integer-based ones by a huge margin. The experimental result in Tesla P100 achieves over double performance of the existing fastest integer work on the same platform, and the result in TITAN V sets a record for the throughput which is 4.43 times better than the second.
Isolation and characterization of polymorphic microsatellite loci for the invasive plant Cytisus scoparius

Scotch broom (Cytisus scoparius) is a serious weed of natural and pastoral ecosystems and is invasive in many countries worldwide. Eight polymorphic microsatellite loci were developed and characterized for this species. The number of alleles per locus ranged from five to 23. The range of observed heterozygosity was between 0.207 and 0.928. These microsatellite markers will be useful tools for studies of population genetics in the native and invasive range of this species.