Miracle-dz/UniFAR-FTUs huggingface dataset:
A High-Performance Genetically Encoded Fluorescent Biosensor for Imaging Physiological Peroxynitrite

Peroxynitrite is a highly reactive nitrogen species (RNS) that plays critical roles in signal transduction, stress response, and numerous human diseases. Advanced molecular tools that permit the selective, sensitive, and non-invasive detection of peroxynitrite is essential for understanding its pathophysiological functions. Here, we present pnGFP-Ultra, a high performance, reaction-based, genetically encodable biosensor for imaging peroxynitrite in live cells. pnGFP-Ultra features a p-boronophenylalanine-modified chromophore as the sensing moiety and exhibits a remarkable 123-fold fluorescence turn-on response towards peroxynitrite while displaying virtually no cross-reaction with other reactive oxygen/nitrogen species, including hydrogen peroxide. To facilitate the expression of pnGFP-Ultra in mammalian cells, we engineered a highly efficient noncanonical amino acid (ncAA) expression system that is broadly applicable to the mammalian expression of proteins containing various ncAAs. pnGFP-Ultra robustly detected peroxynitrite production during interferon γ and lipopolysaccharide-induced immune responses in macrophages, and in amyloid β-activated primary glial cells. Thus, pnGFP-Ultra fills an important technical gap and represents an important new addition to the molecular toolbox in probing RNS biology. In Brief Chen et al. report pnGFP-Ultra, a high-performance fluorescent biosensor for minimally invasive and selective imaging of peroxynitrite production in live cells. Highlights pnGFP-Ultra is a genetically encoded peroxynitrite biosensor with a 123-fold fluorescence turn-on response pnGFP-Ultra exhibits high selectivity toward peroxynitrite, with virtually no crossreaction with hydrogen peroxide An optimized plasmid-based system increases noncanonical amino acid incorporation in mammalian cells by >10 fold pnGFP-Ultra robustly detects peroxynitrite production in macrophages and primary glial cells
Microstrip Antenna Array with Defected Ground Structure and Copper Tracks for Bandwidth Enhancement

A dual-element microstrip antenna array with two circles defected ground structure, and two copper tracks are proposed for the bandwidth enhancement. Bandwidth enhancement achieved with the introduction of dual circular slots defected ground structure. Furthermore, two copper tracks are integrated into one of the circles' defected ground structure to reduce the input impedance, producing more bandwidth enhancement of the antenna array. Parametric analysis of the proposed antenna array investigated for the investigation of bandwidth enhancement. The proposed antenna array generates a simulated impedance bandwidth of 1.52 GHz from 6.03 to 7.55 GHz, with an acceptable far-field radiation pattern achieved within the operating band.
Incentive Mechanism Design for Mobile Crowdsensing Considering Social Networks

Based on the popularity of intelligent embedded devices, mobile crowdsensing emerged as a new paradigm of crowdsourcing perception. However, it often faces the problem of low data quality caused by the insufficient number of participators. In this paper, we propose an incentive mechanism for mobile crowdsensing considering social networks. Our mechanism takes into account the social networks of mobile users, which is not only to reward users for data contribution, but also for solicitation behavior, so as to expand the number of participators under budget constraints, and to select users with high-capability. We prove by the theory that the proposed mechanism satisfies individual rationality, truthfulness, solicitation incentives, and budget effectiveness. Besides, the simulation results show that the mechanism can effectively motivate users' long-term participation and high-quality data collection.
Morphology and sorption kinetic studies of L-type activated carbons prepared from oil palm shells by ZnCl2 and H3PO4 activation.

The aim of this investigation was to study the morphology and sorption kinetic studies of an L-type activated carbon prepared from Oil Palm Shells (OPS) by way of the two stage activation method in self-generated atmosphere using a muffle furnace. Both L-type dehydrating agents, zinc chloride and phosphoric acid were used as the chemical activation agent. For the ZnCl2 samples, the optimum adsorption capacity was obtained when the samples were subjected to semi-carbonization of 400Â°C, 5 M ZnCl2 impregnating solution, followed by pyrolysis at 400Â°C. Whereas for the H3PO4 samples, semi-carbonization of 400Â°C followed by 4.5 M H3PO4 impregnating solution and pyrolysis at 400Â°C has shown to produced the optimum adsorption capacity. All activated carbons were fitted well in the Langmuir adsorption isotherm and the pseudo-second-order kinetics. These results demonstrated that this agricultural waste has the potential to be converted into high-capacity adsorbent for the remediation of waste waters. Â© 2009 Asian Network for Scientific Information.
Morphology of Particle Deposits

The premise that the morphology of deposits formed from colloids, aerosols, and other particulate materials can be predicted from their transport properties and surface chemistries is explored. Universality classes that group the conditions of particles in suspension to the structure of a deposit composed of a large number of particles are considered in the context of their importance in natural and engineered systems encountered in environmental engineering. Evidence for one such “transport-morphology link” is presented, and the implications of this linkage in filter modeling, prediction of sediment characteristics, and membrane fouling are presented.
Sustained Transmission of Neisseria gonorrhoeae with High-Level Resistance to Azithromycin, Indianapolis, Indiana 2017-2018.

BACKGROUND Since 2014, Neisseria gonorrhoeae (Ng) azithromycin (AZM) susceptibility has declined in the United States, but high-level azithromycin resistance (HL-AZMR) has been infrequent and sporadic. We describe a cluster of 14 Ng isolates with HL-AZMR identified in Indianapolis over 13 months. METHODS Ng culture specimens (genital and extragenital) were collected from attendees of the Bell Flower Clinic. Isolates underwent antimicrobial susceptibility testing (AST) by Etest ®. AZM minimum inhibitory concentrations ≥256 µg/ml were classified as HL-AZMR. Local disease intervention specialists interviewed patients whose isolates demonstrated HL-AZMR and conducted partner services. Relatedness of isolates was investigated by genomic analyses. RESULTS During 2017-2018, 1,016 Ng isolates collected at the Bell Flower Clinic underwent AST. Fourteen isolates (1.4%) from 12 men collected over 13 months demonstrated HL-AZMR; all were cephalosporin-susceptible. Of the 12 men, nine were white and reported male sex partners. Nine of the men were able to be re-tested; all were cured with 250 mg ceftriaxone plus 1g azithromycin. Two men named each other as partners; no other partners in common were reported. Genomic analysis demonstrated close relatedness of the HL-AZMR isolates and a novel combination of a mosaic-mtrR promoter along with 23S rRNA mutations that appear to have emerged from circulating strains. CONCLUSIONS The close genetic relatedness with limited epidemiological linkages between patients highlights the challenges of gonorrhea partner investigations and suggests undetected local transmission. Local AST, rapid public health action, and epidemiologic investigations combined with genomic analysis provides a multi-pronged approach to understanding an STD outbreak.
AOA-Assisted Fingerprint Localization for Cell-Free Massive MIMO System Based on 3D Multipath Channel Model

In this paper, an angle of arrival (AOA) assisted fingerprint localization technology based on three-dimensional (3D) multipath channel model is proposed for cell-free massive multiple-input multiple-output (MIMO) system. Firstly, according to the channel characteristics of cell-free massive MIMO system, a 3D narrowband multipath channel model is constructed. In the offline phase, the AOA information from different access points (APs) to users is utilized to construct the angular domain power matrix, which is used as fingerprint information. Angular similarity coefficient is proposed to measure the similarity between different reference points. In the online phase, we use the angular similarity coefficient weight (ASCW) algorithm to obtain the estimated localization of the user. The simulation results show that properly increasing the number of antennas and reducing the sampling interval can improve the localization accuracy. Finally, the effect of 3D multipath channel on fingerprint localization performance is analyzed compared with two-dimensional (2D) channel, as well as other received signal strength (RSS) localization algorithms.
SWIPT-Enabled D2D Communication Underlaying NOMA-Based Cellular Networks in Imperfect CSI

Device-to-Device (D2D) communication is an emerging paradigm which enhances the coverage, capacity, and spectral efficiency of the network using cooperative communication in an underlay of cellular networks. In spite of these advantages, it suffers from large bandwidth and energy loss due to usage of half-duplex relaying and limited energy storage devices. To solve these issues, we integrate the full-duplex (FD) relaying and time splitting simultaneous wireless information and power transfer (SWIPT) technique at the D2D transmitters (DDTs). Moreover, to support the ubiquitous connectivity and reduce the latency, non-orthogonal multiple access is used at the base station. The SWIPT-FD-based DDTs and SWIPT-based cell user equipment (CUE) harvest the energy from the base station, after that the DDTs and CUEs decode the desired signal from the multiplexed signal using successive interference cancellation technique, and forward the desired signal to the D2D user equipment (DUE) to improve their QoS. In this paper, ergodic capacity at the DDTs and DUEs & closed-form expressions of the outage probabilities are derived with imperfect CSI. The results demonstrate that the proposed scheme achieves better performance as compared to that of the existing SWIPT-FD-OMA based scheme.
Co-designing Employees' Data Privacy: a Technology Consultancy Company Use Case

Employee data is increasingly becoming crucial for organisations to improve workflow and foresight. Furthermore, with the onset of the GDPR law, the MyData movement is pushing for human-centric personal data. This presents an opportunity not only to improve how employees can understand their data, but also have transparency and control over it. This paper investigates how a collaborative design process was used at a technology consultancy company to design a service aimed at enabling data transparency and control as well as at communicating its value. We collected qualitative data from a survey, interviews, and workshops conducted with employees. We then built a prototype and tested its usability using a questionnaire. Results showed a clear need among participants for transparency. Results also showed the effectiveness of the prototype in positively enhancing transparency and in generating a good level of usability. The adopted process also led to the formulation of data categories to improve the service's comprehensiveness. Taken together, our results highlight how the proposed model of co-creative design may aid complex transformations in large technology organisations. We provide a set of recommendations in this space and envision future directions for our study.
UAV Assisted Localization Scheme of WSNs Using RSSI and CSI Information

In recent years, the research of high-precision positioning with wireless sensor networks has attracted a lot of attention, especially in the scenarios of UAV (unmanned aerial vehicles) assisted positioning. This paper proposes a new method of getting more accurate range information. In contrast to existing traditional works, we use multiple range information instead of a single distance information. First, a UAV transmits beacon packets to each sensor node at random positions and all nodes record RSSI (Received Signal Strength Indicator) vectors. We can estimate the distance between nodes by comparing the similarity of RSSI vectors. Second, we estimate the distance between two nodes by means of comparing their CSI (channel state Information) to UAV. Finally, we use Kalman filter to fuse the two-range information. And we can get more accurate range information for positioning. Simulations validate high localization accuracy of the proposed algorithm. Besides, the numbers of beacons transmitted by UAV and the energy consumption can be reduced in the simulation.
A Novel Channel Estimation Method for UAV in High-Capacity CDMA Network

Unmanned aerial vehicle (UAV) telemetry & control system has been widely used in military and civilian fields. At present, it has become a hotspot to research how to improve the capacity of UAV telemetry & control system. The accuracy of channel estimation directly affects the capability of the system, in this paper, we propose a channel estimation algorithm for high-capacity system, based on the equilibrium property of PN sequence, which can hold up to 127 UAVs and easy to expand. The algorithm completely avoids the interference between multiple UAVs, and the simulation results show that this algorithm has low complexity and high accuracy, it has important application significance.
Phase Estimation and Correction of Nonlinear Sweep Frequency for Detecting Vehicle Targets with FMCW Radar

The voltage controlled oscillator (VCO) of the frequency modulation continuous wave (FMCW)radar is usually non-linear, which causes the radar range resolution to decrease. The non-linearity of frequency sweep is one of the main problems that limit the range resolution of chirp continuous wave radar. Although the traditional method based on polynomial model can correct most of the nonlinear distortion in the system, it is difficult to suppress the paired echoes caused by periodic nonlinearity, and there is still a large space for improving the quality of range compression. We propose a novel method to measure the systematic phase errors which are required as input to the compensation algorithm. Simulation results show that the proposed algorithm can effectively eliminate the periodic phase error and significantly improve the quality of range compression.
Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services

In this paper, we study the priority-aware task data offloading in edge computing-assisted healthcare service provisioning. The edge server aims to provide additional computing resources to the end-users for processing the delay-sensitive tasks. However, at the same time, it becomes a challenging issue when some of the tasks demand lower response time compared to the other tasks. We present a priority-aware task offloading and scheduling strategy that allocates the computing resources to the high-priority tasks. The hard-deadline tasks are processed first. Later, the remaining computing resources are used to tolerate longer average response time for the soft-deadline tasks. Moreover, we derive a lower bound of the average response time for all hard- and soft-deadline tasks. Through extensive simulations, we show that the proposed task scheduling manages to allocate the computing resources of both end-users and edge server to the hard-deadline tasks while scheduling the soft-deadline tasks with low priority.
Accurate charge density of α-glycine by the maximum entropy method

Accurate electron densities of α-glycine have been obtained by the maximum entropy method (MEM) applied to low-temperature X-ray diffraction data by Destro et al. (J. Phys. Chem. A, 2000, 104, 1047–1054). Difference Fourier maps have been found to provide a good stopping criterion for the iterations in the MEM, in agreement with our previous findings for trialanine. Properties according to Bader's atoms-in-molecules theory are reported for the MEM electron density. These properties are found to be in agreement with the properties of the MEM electron density as they have been obtained previously for the tripeptide trialanine, thus showing the consistency of the MEM approach when applied to centrosymmetric and acentric organic compounds. The dynamic MEM electron density compares favourably with the static electron density obtained from the multipole model by Destro et al. (2000), with differences being attributed to the specific nature of each method. The independent spherical atom model (ISAM) and the multipole model provide different phases for 17 reflections of which only two are of the type ‘observed’. A MEM calculation with reflection phases from the multipole model leads to an electron density that is only marginally different from the MEM electron density with phases from the ISAM refinement. This suggests, at least for centrosymmetric structures, that the ISAM is sufficiently good to be used as basis for the MEM approach to accurate electron density studies.
Cryptanalysis of FNV-Based Cookies

DNS cookies is a recently standardised proposal of the IETF meant to protect DNS against off-path cache poisoning attacks. In contrast to other defences for DNS, DNS cookies is a lightweight mechanism, is easy to deploy and does not introduce overhead on the DNS servers. In this work we demonstrate off-path attacks allowing to circumvent the DNS cookies mechanism and impersonate legitimate Internet sources, exposing the DNS servers to cache poisoning and amplification reflection DoS attacks. We implement and evaluate the attacks, and provide recommendations for countermeasures.
Channel Feedback for Millimeter Wave MIMO-OFDM System via Tensor Parallel Compression

We study the feedback of channel state information(CSI) in the millimeter wave(mmWave) multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) transmission. In a mmWave MIMO-OFDM system, the amount of CSI to be fed back increases sharply as the number of subcarriers and transmit antennas increases. In order to reduce the feedback overhead, the compression feedback scheme based on parallel tensor compression is proposed in this paper. By taking advantage of the high-dimensional characteristics of MIMO-OFDM system, parallel tensor compression is used to compress the CSI required by the transmitter. Simulation results show that the feedback overhead of the proposed algorithm is much smaller than the traditional feedback scheme.
Research on Endogenous Security Methods of Embedded System

At present, attacks on various information systems for cyberspace security are becoming more diverse and intense. In addition, the security of important information systems is threatened. The original security system is expert in preventing risks, but the shortcomings of lack of initiative and flexibility are gradually exposed. The high adaptability and strong evolution of biological systems can be used to fill this gap in capabilities and provide new ideas for cyberspace security. This paper proposes a security system based on the bionic immune mechanism, studies the human immune and neural reflex mechanisms, and arranges neurons in each part of the information system, so that every basic module in the system has both functional and security characteristics. In the process of task execution, the information of the module is continuously collected through neurons, and errors are sensed through feedback, and then strategies are set at the decision-making level of the information system to solve problems or even avoid problems. Through the analysis of the information system model, it shows that this endogenous security system based on bionic immunity is effective, and the correctness of the theory is supported by constructing a prototype system and analyzing the operating conditions of the system under different strategies.
Host Bloodmeal Identification in Cave-Dwelling Ornithodoros turicata Dugès (Ixodida: Argasidae), Texas, USA

Tick-host bloodmeal associations are important factors when characterizing risks of associated pathogen transmission and applying appropriate management strategies. Despite their biological importance, comparatively little is known about soft tick (Argasidae) host associations in the United States compared to hard ticks (Ixodidae). In this study, we evaluated a PCR and direct Sanger sequencing method for identifying the bloodmeal hosts of soft ticks. We collected 381 cave-associated Ornithodoros turicata near San Antonio, Texas, USA, and also utilized eight colony-reared specimens fed artificially on known host blood sources over 1.5 years ago. We correctly identified the vertebrate host bloodmeals of two colony-reared ticks (chicken and pig) up to 1,105 days post-feeding, and identified bloodmeal hosts from 19 out of 168 field-collected soft ticks, including raccoon (78.9%), black vulture (10.5%), Texas black rattlesnake (5.3%), and human (5.3%). Our results confirm the retention of vertebrate blood DNA in soft ticks and advance the knowledge of argasid host associations in cave-dwelling O. turicata.
A New Kalman Filter-Based In-Motion Initial Alignment Method for DVL-Aided Low-Cost SINS

The inertial measurement unit (IMU) biases, DVL lever arm and installation misalignment angles between IMU and doppler velocity log (DVL) have a great influence on in-motion initial alignment for DVL-aided low-cost strap-down inertial navigation system (SINS). A new Kalman filter-based initial alignment method is proposed in this paper. To weaken the effects of IMU biases, DVL lever arm and installation misalignment angles between IMU and DVL, a closed-loop scheme is presented to simultaneous estimate and compensate these parameter errors and the body attitude matrix based on a linear state-space model, which improves the accuracy of vector observations. The constant matrix from initial body frame to initial navigation frame can be determined based on the vector observations by Davenport's q-method. Simulation results illustrate that, for the DVL-aided low-cost SINS, the alignment performance of the proposed initial alignment method is better than that of the compared initial alignment methods.
Growth of Aligned Square‐Shaped SnO2 Tube Arrays

Tin dioxide (SnO2) box beams, or tubes with square or rectangular cross‐sections, are synthesized on quartz substrates using a combustion chemical vapor deposition (CVD) method in an open atmosphere at 850 °C to 1150 °C. The cross‐sectional width of the as‐synthesized SnO2 tubules is tunable from 50 nm to sub‐micrometer depending on synthesis temperature. Each tubule is found to be a single crystal of rutile structure with four {110} peripheral surfaces and &#60;001&#62; growth direction. Although several growth patterns are observed for different samples, the basic growth mechanism is believed to be a self‐catalyzed, direct vapor–solid (VS) process, where most new material is incorporated into the bottom parts of the existing SnO2 tubules through surface diffusion. The tubes are readily aligned in the direction perpendicular to the substrate surface to form tube arrays. These well‐aligned SnO2 tubule arrays with tunable tube size could be the building blocks or templates for fabrication of functional nanodevices, especially those relevant to energy storage and conversion such as nanobatteries, nanofuel cells, and nanosensors. A gas sensor based on a single SnO2 nanotubes demonstrated extremely high sensitivity to ethanol vapor.