Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Latency Double Point Multiplication Architecture Using Differential Addition Chain Over  $GF(2^m)$

During the past decade, elliptic curve cryptography (ECC) has been widely deployed in different scenarios as the main asymmetric cryptosystem due to its smaller key length and relatively higher speed compared with other asymmetric cryptosystems. The most critical operation in ECC computation is point multiplication. In some popular applications such as signature verification schemes, the double point multiplication can be exploited. In this paper, we propose an algorithm and its corresponding architecture to speed up the double point multiplication using a modified binary differential addition chain. The proposed method is highly parallelizable and has been implemented on Virtex-4, Virtex-5, and Virtex-7 over <inline-formula> <tex-math notation="LaTeX">${{GF}}(2^{163})$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">${{GF}}(2^{233})$ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">${{GF}}(2^{283})$ </tex-math></inline-formula>, respectively. Experimental results using hardware implementation on Virtex-4 indicate that the proposed architecture achieves 63% and 16% improvements compared with the previous double point multiplication implementation in terms of required time and efficiency over <inline-formula> <tex-math notation="LaTeX">${ {GF}}(2^{233})$ </tex-math></inline-formula>, respectively. Additionally, the proposed architecture shows time reduction compared with twice the execution time of the best previous single point multiplication by 39% while achieving 258% higher efficiency. The proposed architecture has also been implemented on ASIC, and the results show that the proposed work improves time and energy consumption compared with the previous work.
Coordinated Dispatch of Virtual Energy Storage Systems in Smart Distribution Networks for Loading Management

The growth in residential air-conditioning is a primary contributor to electric utility critical peak load causing millions of dollars spent on extra network infrastructure to cater for these peak times. This paper aims to provide an attempt to coordinate multiple groups of aggregated air-conditioners for distribution network loading management. Through limited communication to exchange information among neighboring aggregators, the proposed dispatch strategy shares the required active power curtailment among aggregators, maintaining room temperatures to keep occupants comfort in the meanwhile. Three case studies and sensitivity analysis are conducted to show the performance of the proposed scheme. The results show that it can provide technical and economic benefits to both participating residents and network operators.
Consensus Opinion Model in Online Social Networks Based on Influential Users

A framework to consensus opinion model within a networked social group is put forward. The current research in opinion formation within the groups is largely based on the opinion aggregation of each user of the network. However, the consistency of users in aggregation, social power, and the impact of each individual user of the group for opinion formation are not considered. In this paper, we investigate a consensus opinion model in social groups based on the impact of influential users and aggregation methods. In order to reach the consensus model, we aggregate the users’ opinions. To maintain consistency, we propagate the opinion through the users to reach an agreement. This propagation will consider the influential users’ impacts that have a crucial effect on its process. A novel method is proposed to detect the influential users and opinion propagation based on them to derive the opinion toward the networked social group. In particular, we applied optimism and pessimism scores as the users’ personality to discover the influential users in the network. Considering that, we propagate the opinion based on two facts: 1) the impact of influential users, derived by the presence of an extremely confident individual in the network and 2) the impact of neighbors, induced by the presence of the users who have a connection with the current user. Then, we proposed the opinion aggregation of the group induced by the weighted averaging operator and fuzzy techniques. In order to evaluate the validity of the method, we used enormous data sets of Epinions and Etsy which are signed and unsigned, respectively.
Mesenchymal stem cells differentiate into keratinocytes and express epidermal kallikreins: Towards an in vitro model of human epidermis

Epidermal differentiation is a complex process in which keratinocytes go through morphological and biochemical changes in approximately 15 to 30 days. Abnormal keratinocyte differentiation is involved in the pathophysiology of several skin diseases. In this scenario, mesenchymal stem cells (MSCs) emerge as a promising approach to study skin biology in both normal and pathological conditions. Herein, we have studied the differentiation of MSC from umbilical cord into keratinocytes. MSC were cultured in Dulbecco's modified Eagle's medium (DMEM) (proliferation medium) and, after characterization, differentiation was induced by culturing cells in a defined keratinocyte serum‐free medium (KSFM) supplemented with epidermal growth factor (EGF) and calcium chloride ions. Cells cultivated in DMEM were used as control. Cultures were evaluated from day 1 to 23, based on the cell morphology, the expression of p63, involucrin and cytokeratins (KRTs) KRT5, KRT10 and KRT14, by quantitative polymerase chain reaction, Western blot analysis or immunofluorescence, and by the detection of epidermal kallikreins activity. In cells grown in keratinocyte serum‐free medium with EGF and 1.8 mM calcium, KRT5 and KRT14 expression was shown at the first day, followed by the expression of p63 at the seventh day. KRT10 expression was detected from day seventh while involucrin was observed after this period. Data showed higher kallikrein (KLK) activity in KSFM‐cultured cells from day 11th in comparison to control. These data indicate that MSC differentiated into keratinocytes similarly to that occurs in the human epidermis. KLK activity detection appears to be a good methodology for the monitoring the differentiation of MSC into the keratinocyte lineage, providing useful tools for the better understanding of the skin biology.
Design and analysis of a 11:1 centrifugal compressor for a small turbofan engine

Centrifugal compressors, used extensively in turbofan engines of high range missiles, provide advantages like shorter length, capacity to operate over a wide range of mass flows at a particular rotational speed and handling small volume flows. Fundamental theory for centrifugal compressor design is used for preliminary 1D-design with a goal to achieve pressure ratio of 11:1 and inlet mass flow of 6kg/s using a single stage. MATLAB code has been developed for the optimization of compressor design using evolutionary algorithms with different design variables. The design variables are selected from the control points for Bezier curves. Half of the variables are used for the passage optimization whereas half of them enhance the performance of impeller blades. Once the impeller geometry is optimized, results are used to draw the flow passage, hub and shroud radiuses, axial length of the impeller, and blade height in 2D plane. Thus, theoretical results are verified using the optimization algorithm and aerodynamic analysis using CFD tools in ANSYS workbench. Since blade thickness is critical to the structural loads due to high rpm of the impeller, structural analysis (fluid structure interaction) is performed for the CFD loads being applied on the impeller in order to verify the feasibility of design for the working environment.
Cooperative Full Duplex Content Sensing and Delivery Improves the Offloading Probability of D2D Caching

A novel policy is conceived for device-to-device (D2D) caching that facilitates content sensing and delivery using full-duplex (FD) communications. As a benefit, the user devices become capable of performing content sensing and delivery over an extended geographic range, where more aggregate cache units are available, hence circumventing both the limited communication range and the limited storage of individual devices. Based on stochastic geometry-aided modeling of the network, we analytically derive the hit ratio, defined as the probability that a content requester can obtain desired file via a D2D link or an FD D2D link with data rate larger than a given threshold. The accuracy of our analysis is validated by our Monte Carlo simulations. Our numerical results show that the proposed policy achieves higher offloading probability than that of the existing approaches, even in the face of limited self-interference cancellation capability.
Improved Smartphone-Based Indoor Pedestrian Dead Reckoning Assisted by Visible Light Positioning

Aiming at the problem of heavy preparation work and high cost of indoor positioning technology, this paper proposes a visible light positioning (VLP)-assisted smartphone-based pedestrian dead reckoning (PDR) indoor positioning technology. This technology combines the advantages of both PDR and VLP algorithms for indoor positioning. During the pedestrian position calculation, the method of using the averaging of mode to process the heading angle data is creatively used, which improves the positioning accuracy and increases reliable operation time. At the same time, the two-level verification method consisting of cyclic redundancy check and range constraint is implemented for VLP, which uses a LED carrying a modulation code as a beacon for absolute position and the camera of smartphone to capture/decode the LED image to obtain the absolute position and periodically correct the position of the PDR positioning, thereby avoiding the accumulation of PDR positioning technology errors. The scope and reliability of PDR are demonstrated. The experiments show that this method is a kind of low cost, high robust, and high precision indoor positioning technology.
Modulation of HIV-1 gene expression by binding of a ULM motif in the Rev protein to UHM-containing splicing factors

Abstract The HIV-1 protein Rev is essential for virus replication and ensures the expression of partially spliced and unspliced transcripts. We identified a ULM (UHM ligand motif) motif in the Arginine-Rich Motif (ARM) of the Rev protein. ULMs (UHM ligand motif) mediate protein interactions during spliceosome assembly by binding to UHM (U2AF homology motifs) domains. Using NMR, biophysical methods and crystallography we show that the Rev ULM binds to the UHMs of U2AF65 and SPF45. The highly conserved Trp45 in the Rev ULM is crucial for UHM binding in vitro, for Rev co-precipitation with U2AF65 in human cells and for proper processing of HIV transcripts. Thus, Rev-ULM interactions with UHM splicing factors contribute to the regulation of HIV-1 transcript processing, also at the splicing level. The Rev ULM is an example of viral mimicry of host short linear motifs that enables the virus to interfere with the host molecular machinery.
Wind Turbine Bearing Fault Diagnosis Based on Sparse Representation of Condition Monitoring Signals

An effective way to save the costs for data storage and transmission in bearing fault diagnosis of wind turbines is to use a sparse representation of massive condition monitoring signals. A proper dictionary that is adaptive to the analyzed signal containing time-varying components is a key issue to improve the sparse level in the sparse representation method, which has not been addressed in the literature. This paper explores a new sparse representation method that uses a new time-varying cosine-packet dictionary for the bearing fault diagnosis of wind turbines operating under varying speed conditions. First, the time-varying shaft rotating frequency (SRF) of a wind turbine is estimated from a generator current signal recorded synchronously with the vibration signal. Then, the new dictionary is designed, in which the basic functions, called time-varying cosine packet, change with the SRF. Finally, a sparse coefficient spectrum (SCS) of the vibration envelope signal is constructed by the sparse coefficients of the signal projection on the new dictionary. The merits of the proposed sparse representation method are that the dictionary designed is adaptive to the variations of major frequencies of the vibration signals, and the nonzero sparse coefficients over the dictionary designed have a clear physical meaning, i.e., representing the amplitude weights of the major order components contained in the vibration envelope signals. Therefore, the possible bearing fault characteristic orders can be identified from the SCS of the vibration envelope signal. Laboratory and field test results show that the sparse coefficients obtained by the new sparse representation method are suitable for the representations of the bearing vibration signals and the SCS is effective for bearing fault diagnosis of direct-drive wind turbines.
Ehrlichia spp. infection in domestic cats from Rio de Janeiro State, southeast Brazil.

Ehrlichiosis is caused by agents belonging to Ehrlichia genus. Despite the frequent reports on the serological and molecular detection of E. canis in dogs in Brazil, there is scant data on ehrlichiosis in brazilian cats. This study aimed at investigating the occurrence of Ehrlichia spp. in domestic cats from Greater Rio de Janeiro, and evaluating hematological changes associated with this rickettsial infection. We searched for IgG antibodies against E. canis on blood samples of 216 cats by Indirect Fluorescence Assay (IFA). Additionally, we performed nested PCR (nPCR) and real-time PCR (qPCR) assays targeting E. canis-16S rRNA and dsb gene, respectively. Fifty-seven (26.4%) cats were seropositive for Ehrlichia spp. by IFA. Ehrlichia spp. -16S rRNA gene fragments were detected in 3 cats (1.4%). Although the obtained 16S rRNA sequences showed 99 to 100% identity with E. canis, cats were negative in qPCR. Anemia, thrombocytopenia, leukocytosis, left shift neutrophil and hyperproteinemia were observed. Anemia was statistically associated with seropositivity to E. canis and kittens showed lower positivity rates (p<0.05). This study showed that Ehrlichia spp. occur in domestic cats from Greater Rio de Janeiro. Further studies involving culture isolation are much needed to more precisely characterize these organisms.
Nulls in the Air: Passive and Low-Complexity QoS Estimation Method for a Large-Scale Wi-Fi Network Based on Null Function Data Frames

In this paper, we propose, implement, and evaluate a simple yet powerful estimation method for the quality of service of a large-scale Wi-Fi network, which is achieved using our passive and low-complexity measurements. Specifically, our proposed method estimates a time-varying frame error rate at an access point (AP) by counting null function data frames, which are emitted periodically by stationary user equipments (UEs), such as mobile phones and tablets. We implemented our method as a user-level script and a production-level firmware. Our real-world measurements in an uncontrolled 1500-seat hall demonstrated that our method exhibited high scalability against the increase in the numbers of APs and UEs with the aid of its simple structure and was capable of detecting the quality-of-service loss induced by an unexpected dynamic frequency selection.
Submicrometer Top-Gate Self-Aligned a-IGZO TFTs by Substrate Conformal Imprint Lithography

Thin-film transistors (TFTs) are the fundamental building blocks of today’s display industry. To achieve higher drive currents and device density, it is essential to scale down the channel lengths of TFTs. To be able to fabricate short-channel TFTs in large volumes is also equally important in order to realize lower fabrication costs and higher throughput. In this paper, we demonstrate the application of substrate conformal imprint lithography (SCIL) to pattern top-gate (TG) self-aligned (SA) amorphous indium gallium zinc oxide TFTs down to channel length <inline-formula> <tex-math notation="LaTeX">${L}_{\textsf {G}} = \textsf {450}$ </tex-math></inline-formula> nm with good device scaling properties resulting in average field-effect mobility (<inline-formula> <tex-math notation="LaTeX">${\mu }_{FE}$ </tex-math></inline-formula>) <inline-formula> <tex-math notation="LaTeX">$= \sim 10$ </tex-math></inline-formula> cm<inline-formula> <tex-math notation="LaTeX">$^{\textsf {2}}\cdot \text{V}^{-\textsf {1}}\cdot \text{s}^{\textsf {-1}}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">${V}_{\mathrm{ON}} = \,\sim 0.5$ </tex-math></inline-formula> V, and subthreshold swing (SS) <inline-formula> <tex-math notation="LaTeX">$= \sim 0.3$ </tex-math></inline-formula> V/decade. The device performance as a function of channel length outlines the importance of dopant diffusion control for realizing submicrometer SA TFTs. The results demonstrate the compatibility of SCIL-based large-area patterning for the realization of submicrometer TG SA TFTs with a potential for high throughput.
Small-Signal Compact Circuit Modeling of Group IV Material-Based Heterojunction Phototransistors for Optoelectronic Receivers

This paper presents an optoelectronics-based compact equivalent circuit model of an n-Ge/p-Ge<sub>1–<italic>x</italic></sub>Sn<sub><italic>x</italic></sub>/n-Ge<sub>1–<italic>x</italic></sub>Sn<sub><italic>x</italic></sub> heterojunction phototransistor (HPT). This paper includes the static electrical and optical characteristics of the device, Gummel characteristics, effect of temperature, and overall noise analysis of HPT based on various parametric variations. We then investigate the effect of parasitic capacitance on the noise performance of the HPT. The estimated results show that the signal-to-noise ratio (SNR) is strongly dependent on not only the operating frequency but also the operating temperature and applied base-bias voltage. Estimated performance shows that SNR of HPT >90 dB up to 100 GHz and >80 dB up to 50 °C can be achieved, which ensured the operation of the device as high-speed and low-noise detector.
Decay-Function-Free Time-Aware Attention to Context and Speaker Indicator for Spoken Language Understanding

To capture salient contextual information for spoken language understanding (SLU) of a dialogue, we propose time-aware models that automatically learn the latent time-decay function of the history without a manual time-decay function. We also propose a method to identify and label the current speaker to improve the SLU accuracy. In experiments on the benchmark dataset used in Dialog State Tracking Challenge 4, the proposed models achieved significantly higher F1 scores than the state-of-the-art contextual models. Finally, we analyze the effectiveness of the introduced models in detail. The analysis demonstrates that the proposed methods were effective to improve SLU accuracy individually.
An Extended Split Ring Resonator Type Metasurface for Microwave Applications

Metasurfaces (MS) allow the base for manifold number of applications rendering to exotic properties mostly not found in nature. These surfaces are contrived using metallic array or dielectric subwavelength resonators. In this paper, we have constructed an extend split ring resonator (SRR) type unit in the Microwave frequency range. The SRR is printed on a FR-4 dielectric stacked by a copper metallic ground. The results shows that the surface is capable of polarization conversion in three distinct frequency bands, i.e. 7–10 GHz (wideband), 11–12.4 GHz and 13.7–16.8 GHz. The polarization conversion ratio is equal to 100 % in all the three-frequency band which makes it perfect polarization converter in these bands. In addition to linear-to-linear polarization conversion, the surface is also capable of linear-to-circular polarization. The surface can be used in a variety of wireless applications, including antennas and stealth technology.
A 28-nm FD-SOI 8T Dual-Port SRAM for Low-Energy Image Processor With Selective Sourceline Drive Scheme

This paper presents a low-energy 64-Kb eight-transistor (8T) one-read/one-write dual-port image memory with a 28-nm fully depleted SOI (FD-SOI) process technology. Our proposed SRAM adopts a selective sourceline drive (SSD) scheme and a consecutive data write technique for improving active energy efficiency at low voltage. The novel SSD scheme controls sourceline voltage and eliminates leakage energy at unselected columns in read operations. We fabricated a 64-Kb 8T dual-port SRAM in the 28-nm FD-SOI process technology. The 8T SRAM cell size is $0.291 \times 1.457\,\,\mu \text{m}^{2}$ . The test chip exhibits 0.48-V operation at an access time of 135 ns. The energy minimum point is at a supply voltage of 0.56 V and an access time of 35 ns, where 265.0 fJ/cycle in write operations and 389.6 fJ/cycle in read operations are achieved. These factors are, respectively, 30% and 26% smaller than those of the 8T dual-port SRAM with the conventional scheme.
Dynamic Simulation of Human Action Perception Through the Medium of SPREF

This paper explore feature for taking knowledge in a spatio-temporal volume based on regularity flow, what it is, how it works, and the benefits of using it for dynamic simulation of action perception is being explored. The regularity flow gives a detailed account of the direction of least in number change within a space-time amount. This feature is chiefly of weighted histograms of the worked out regularity flow throughout selected interest points. We then apply for this new feature to perception of actions with experiments on experienced point of comparison knowledge. A more judging things well picture of space-time amount is got by using the point descriptors with the bag of words design to be copied. Dynamically human action perception of is done by using this new pictures of with a trained support vector machine. Study implies that by putting to use regularity flow based points, perception can be done with better operation than the best experienced feature. Along with this, it also state that this descriptor captures information given otherwise not harnessed by having existence ways of doing. having existence careful way gives the feature outcome in 2D in view of the fact that the space-time regularity flow gives the 3D feature and uses the complete work image or viewing part for feature extraction so that more accurate results can be given.