Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the Efficacy of Communication Interventions for Shifting Public Perceptions of Park Benefits

One way national parks can sustain their societal relevance and ensure ongoing political and community support is through conscious and deliberate repositioning. This study investigates the potential for psychologically repositioning national parks using persuasive communication designed to shift public perceptions of the benefits of visitor experiences in parks. The experimental communication interventions were selected to target benefits where gaps were identified between the perceptions of park managers and the parks’ constituent publics. Using a pre–post design on 1,055 respondents split evenly across two Australian states, the experiment revealed that the website and the video used as interventions were highly effective at improving public perceptions of park benefits. This was attributed to the persuasiveness of the website and the video, which respondents rated as having positive valence, as highly vivid and as credible. This research provides theoretically informed insights into the application of persuasive communication theory to psychologically reposition national parks.
Impact of radices for the design of efficient FFT processor

Fast Fourier transform (FFT) is always an accepted topic for research from past many years for different applications in digital system. Implementation of FFT processor is an active growing field with possible advances. This work focuses on datapath unit of a FFT processor and presents low complexity and less area consuming datapath unit of FFT by combining algorithms, arithmetic and architecture. Implementation of radix-2, radix-4 and radix-2⁁2 FFT algorithm will be done using different types of multipliers such as Array multiplier, Vedic multiplier and different type of adders like Ripple carry adder and Carry save adder which are represented in fixed point (Q-format) for N=8, 16 points. Synthesize is done to know the performance of LUTs, delay (ns) and Frequency (MHZ) of different radices. Simulation is performed using Verilog code on Spartan6 family. Xilinx ISE 14.7.
Mining K primary corridors from vehicle GPS trajectories on a road network based on traffic flow

Given a set of GPS trajectories on a road network and a specified number of k, the K-Primary-Corridors(KPC) problem aims to find k trajectories as primary corridors so that the overall distance from all trajectories to their closest primary corridors is minimized. It is important for the applications such as optimization of transportation network, greener travel and disaster rescue. However, many of the existing algorithms of primary corridors are based on geometric space, and the value of practical application is low. Although some are based on network space, they randomly select k primary corridors or ideally set the weights of each side of the road network to 1 before computing. This not only reduces the accuracy of the results, but may also increase the computational complexity. This paper proposes the k-primary-corridors algorithm based on traffic flow on a road network. Firstly, the algorithm initializes the k primary corridors based on the traffic flow and the distance between the trajectories. Secondly, according to the actual traffic conditions, each side of the road network is given a reasonable weight. Finally, we use adjacency list to store the structure of road network graph and the lower bound filtering algorithm and the Dijkstra algorithm based on priority queue are used to reduce the time and space complexity of the algorithm. Some experiments are performed on the data set of Chengdu taxi GPS trajectories and the results shows that the algorithm is reasonable and effective.
Design and Scalable Fabrication of Hollow SU-8 Microneedles for Transdermal Drug Delivery

Hollow microneedle arrays have been sustained since last two decades and hold lot of promise as effective, painless, and controlled way of transdermal drug delivery because of the immense variety of drugs they can deliver. Design and simulation are quintessential prior to proceeding with fabrication of microneedles in order to successfully overcome the skin barrier. In this paper, optimization of the design of hollow microneedles has been carried out by theoretical and simulation based studies. Subsequently, microneedles based on the optimized design are fabricated by direct laser writing. The SU-8 microneedles with simple cylindrical structure are able to sustain the skin resistive forces since their yield strength under different loading conditions is higher than the skin forces. The flow in microneedle lumen is laminar with Reynold’s number 3.9. The choice of cylindrical microneedle simplifies the fabrication steps greatly. SU-8 microneedles which are <inline-formula> <tex-math notation="LaTeX">$500~\mu \text{m}$ </tex-math></inline-formula> tall, <inline-formula> <tex-math notation="LaTeX">$100~\mu \text{m}$ </tex-math></inline-formula> outer diameter, and <inline-formula> <tex-math notation="LaTeX">$40~\mu \text{m}$ </tex-math></inline-formula> inner diameter were fabricated by direct laser writing. Aspect ratio of 5 has been achieved for these microneedles. The hollow SU-8 microneedles have clearly defined lumen. Their hardness, Young’s Modulus and maximum compressive and bending forces are 0.3 GPa, 4.94 GPa, 0.27 N, and 0.022 N, respectively. The microfluidic tests indicate the development of fully hollow microneedle lumen with a flowrate of <inline-formula> <tex-math notation="LaTeX">$0.93~\mu \text{L}$ </tex-math></inline-formula>/s at 2 KPa inlet pressure drop. The experimental results are in good agreement with the theoretical and simulation based studies. These MNs can puncture mice skin effectively and are not broken after multiple insertions.
Exploiting the Link between Protein Rigidity and Thermostability for Data‐Driven Protein Engineering

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Path planning combining improved rapidly-exploring random trees with dynamic window approach in ROS

Path planning is a fundamental research area in robotics. Sampling-based methods have been extended further away from basic robot planning into further difficult scenarios and diverse applications for their efficient solution. Issues occurred where they only offer a path rather than velocity commands; the changing situation of environment is hard to tackle. This paper presents a novel integrated approach of creating path for robot navigation with dynamic constrains. In the proposed algorithm, a biased Rapidly-Exploring Random Trees (RRT) is utilized to find a global path in the configuration space. Then, the Dynamic Window Approach (DWA) is performed over the path to calculate translational and rotational velocity commands for the robot. Performance of the proposed method is tested and validated using Robot Operating System (ROS). Simulations show that the proposed methodology achieves efficient and smooth path for the robot under the dynamic constrains.
Demonstration of Path-Based Packet Batcher for Accelerating Vectorized Packet Processing

Recently, a major challenge on generic multi-core network processing platforms is how to improve packet processing performance. Vector packet processor (VPP) is a modularized and high- performance software framework for building network dataplane applications. The key idea of VPP is to reduce instruction cache (i-cache) misses with vectorized packet processing. However, the packets in a vector may traverse different processing paths in some scenarios. In such case, the vector is split into several smaller vectors, and the per- packet overhead would increase. In this paper, we propose a Path-based Packet Batcher (PPB) to accelerate VPP. PPB is transparent to VPP, and it requires no modification to VPP. Before VPP processes packets, PPB batches the packets based on the processing paths they will traverse. We build a prototype based on FPGA to evaluate the performance optimizations to VPP with PPB. Experiment results show that the reduction of i-cache misses can be up to 57.6% when the batch size is 128.
Lack of evidence for decreased protein stability in the 2397 (Met) haplotype of the leucine rich repeat kinase 2 protein implicated in Parkinson’s disease

Missense mutations in the leucine rich repeat kinase 2 (LRRK2) gene are the leading genetic cause of autosomal dominant familial Parkinson’s disease. We previously reported that two mutations within the ROC domain, namely R1441C and A1442P, exhibit increased protein degradation leading to lowered steady state LRRK2 protein levels in HEK293 cells. More recently, the common WD40 domain LRRK2 haplotype, Met2397, which is a risk factor for Crohn’s disease, has been shown to lower steady state protein levels in HEK293 cells. In view of recent evidence implicating LRRK2 and inflamemation in PD, we investigated the effects of Met2397 on LRRK2 expression, and compared them to the Thr2397 variant and other LRRK2 mutants. In this study, we transfected HEK293 cells with plasmid constructs encoding the different LRRK2 variants, and analyzed the resulting protein levels by Western blot and flow cytometry. Here we found that both the Met2397 and Thr2397 haplotypes yield similar levels of LRRK2 protein expression and do not appear to impact cell viability in HEK293 cells, compared to other LRRK mutants. Thus, we have concluded that the Met2397 haplotype is unlikely to play a role in LRRK2 mediated or idiopathic PD.
Ensemble Particle Filter Based on KLD and Its Application to Initial Alignment of the SINS in Large Misalignment Angles

Among many auxiliary particle filtering algorithms, the ensemble particle filter (EnPF) has been widely applied in various fields, which can be ascribed to its avoidance of the heavy computational burden resulted by the parallel computation of multifilters. However, the estimation precision of the EnPF, like other auxiliary particle filters, also decreases when the nonlinear extent of a system aggravates. In order to have the advantages of the EnPF promoted into strongly nonlinear systems, this paper first analyzes the reasons why the EnPF deteriorates in strongly nonlinear systems and then proposes an EnPF based on Kullback–Leibler distance (KLD), which is named KLEnPF. KLEnPF is mainly inspired by the Gaussian sum approximation. For the aim of improving the approximation precision, the KLEnPF calculates the optimal bandwidth parameters of Gaussian kernels to minimize the KLD between two distribution functions. Finally, we apply the KLEnPF to the initial alignment of the strapdown inertial navigation system (SINS) in large misalignment angles, which is a strongly nonlinear system. The experimental results of it demonstrate the effectiveness of the KLEnPF.
Research of knowledge mapping construction based on word vector

Vector representations of words learned by the statistical information of word-context matrix encode the semantic meaning of words in semantic space. Knowledge mapping shows the development process and structure of scientific knowledge, using a series of techniques, such as data mining and data visualization. This paper did research on word vectors and proposed a knowledge mapping construction method based on word vectors. Compared with traditional way, the proposed method uses a large amount of contextual information to get the semantic vector representations of keywords. Semantic relation between words can be reflected in the distance between corresponding vectors. Experiments were carried out on the corpus of computer science subject. It is showed that the proposed method was able to mine the field structure of disciplines and to serve as a powerful reference for promoting discipline construction and development. In addition, Comparison with results of traditional method also proved that knowledge mapping constructed by word vectors was indeed more meaningful and unified.
Fast-Response and Low-Hysteresis Flexible Pressure Sensor Based on Silicon Nanowires

Flexible pressure sensors are the cornerstone of electronic skins with tactile function. However, flexible pressure sensors tend to have disadvantages of slow response speed and large hysteresis, which are caused mainly by the viscoelasticity and interfacial adhesion of flexible materials. In this letter, we adopted silicon nanowire (SiNW) arrays to fabricate a pressure sensor with a piezo-capacitance when the SiNWs are bending under pressure, which avoided the viscoelasticity and interfacial adhesion accompanying with common flexible materials. The sensor recorded unprecedented low hysteresis (~2.26%) and an extremely short response time (~3 ms). With high sensitivity (up to ~8.2 kPa−1), large response capacitance, ultralow detection limit (0.1 Pa), and good repeatability and stability, the sensor holds potential applications in advanced electronic skins, especially when high-precision and high-speed sensing are required.
The experimental method for tuning of PID controller based on the maximum stability degree criterion

An experimental method for tuning of the PID controller and its variations, using the critical regime parameters of the closed loop control system is proposed in this paper. The method was developed based on the maximum stability degree criterion, that offers to the designed control system the high stability, robustness at the variation of the control objects' parameters, the transient processes with low overshoot and high performance. For efficacy analysis of the elaborated algorithms, there are presented some case studies and practical applications.
Accuracy of various imaging methods for detecting misfit at the tooth-restoration interface in posterior teeth

Purpose The present study aimed to evaluate which of the following imaging methods best assessed misfit at the tooth-restoration interface: (1) bitewing radiographs, both conventional and digital, performed using a photostimulable phosphor plate (PSP) and a charge-coupled device (CCD) system; (2) panoramic radiographs, both conventional and digital; and (3) cone-beam computed tomography (CBCT). Materials and Methods Forty healthy human molars with class I cavities were selected and divided into 4 groups according to the restoration that was applied: composite resin, composite resin with liner material to simulate misfit, dental amalgam, and dental amalgam with liner material to simulate misfit. Radiography and tomography were performed using the various imaging methods, and the resulting images were analyzed by 2 calibrated radiologists. The true presence or absence of misfit corresponding to an area of radiolucency in regions subjacent to the esthetic and metal restorations was validated with microscopy. The data were analyzed using a receiver operating characteristic (ROC) curve, and the scores were compared using the Cohen kappa coefficient. Results For bitewing images, the digital systems (CCD and PSP) showed a higher area under the ROC curve (AUROC) for the evaluation of resin restorations, while the conventional images exhibited a larger AUROC for the evaluation of amalgam restorations. Conventional and digital panoramic radiographs did not yield good results for the evaluation of resin and amalgam restorations (P<.05). CBCT images exhibited good results for resin restorations (P>.05), but showed no discriminatory ability for amalgam restorations (P<.05). Conclusion Bitewing radiographs (conventional or digital) should be the method of choice when assessing dental restoration misfit.
Photon-Assisted Ultra-Selective Formaldehyde Sensing by Defect Induced NiO-Based Resistive Sensor

Indoor air quality (IAQ) monitoring is essential to maintain healthy human life. Among different pollutants affecting IAQ, formaldehyde is one of the toxic volatile organic compounds (VOC) that needs to be monitored. In this paper, hierarchical NiO nanostructure sensing layer was used as highly sensitive formaldehyde sensor in the presence of light. The response was found to be 292% in the presence of 190 ppm formaldehyde with a fast response ~24 s and recovery ~42 s time. The sensor was found to be highly specific towards formaldehyde compared to other VOCs. The LOD calculated for the sensor was as low as 910 ppb. The optimum operating temperature was found to be ~300°C, much less than the conventional NiO-based sensors (~600°C). The sensing layer was found to be optically active due to the induced defects in the NiO nanostructure. Thus, the fabricated light-assisted sensor shows potential for future commercial formaldehyde sensor.
Comparison of conventional imaging techniques and CBCT for periodontal evaluation: A systematic review

Purpose This study aimed to carry out a systematic review of studies in the literature comparing conventional imaging techniques with cone-beam computed tomography in terms of the role of these techniques for assessing any of the following periodontal conditions and parameters: infrabony defects, furcation involvement, height of the alveolar bone crest, and the periodontal ligament space. Materials and Methods Interventional and observational studies comparing conventional imaging techniques with cone-beam computed tomography were considered eligible for inclusion. The MEDLINE and Embase databases were searched for articles published through 2017. The PRISMA statement was followed during data assessment and extraction. Results The search strategy yielded 351 publications. An initial screening of the publications was performed using abstracts and key words, and after the application of exclusion criteria, 13 studies were finally identified as eligible for review. Conclusion These studies revealed cone-beam computed tomography to be the best imaging technique to assess infrabony defects, furcation lesions, the height of the alveolar bone crest, and the periodontal ligament space.
Hybrid-electric powered aerospace systems and the battery energy density revolution

This paper addresses challenges and solutions to creating practical autonomous air-taxis and personal aerial transportation systems. While there are several significant challenges including air traffic management/regulations, safety/reliability, and vehicle autonomy, here we highlight energy and energy density as underlying challenges the Boston startup Top Flight Technologies is working to solve using a series hybrid-electric approach.
Automatic JPEG Grid Detection with Controlled False Alarms, and Its Image Forensic Applications

With the progress of image manipulation tools and the proliferation of fake news and images posted online on social networks, automatic identification of fake content is becoming indispensable. Lossy image compression leaves traces which can be used to recover the history of an image and to help decide about its authenticity. We propose a new JPEG grid detection algorithm. This operation is the first step of many forensic, anti-forensic, and deblocking algorithms. Our analysis is based on the detection of the blocking artifacts and is global and local at the same time. It retrieves the origin of the JPEG grid in all image regions and detects suspicious discrepancies. Our work is based on the a-contrario framework which reins in the over-detections caused by multiple testing. It also yields a Number of False Alarms (NFA) which gives extremely secure guarantees for tampering detection. We demonstrate the performance of the proposed method with both quantitative and visual results from well-known image databases.
Implementation of room automation with cloud based monitoring system

As the time spent inside the office and comfort level is rising, the office room is alter for automatic control and observation of various parameters. Internet of things (IoT) system proposed in this paper based on arm controller and Thingspeak cloud provide solution for automatic control of office room appliances such as light, fan, AC by considering human comfort. Various office room parameters like temperature, light intensity, connected load, energy consumption, voltage and current consumption can also be monitored and analyzed from anywhere over the internet. Electrical appliances will turn on only when there is presence detected by the PIR sensors. Workable room environment such as light intensity and room temperature are maintained and monitored by using lux sensor and temperature sensor respectively. The room automation system based on IoT consist of sensors (temperature sensor, lux sensor), arm controller board, multifunction energy meter, ESP8266 Wi-Fi module and Wi-Fi router.
Disabled homolog 2 interactive protein functions as a tumor suppressor in osteosarcoma cells

The disabled homolog 2 interactive protein (DAB2IP) gene is a member of the family of Ras GTPases and functions as a tumor suppressor in many types of carcinoma; however, its function in osteosarcoma remains unclear. The aim of the present study was to determine the function of DAB2IP in osteosarcoma and normal bone cells in vitro. The expression of DAB2IP protein was assessed in osteoblast and osteosarcoma cell lines by western blot analysis. The effects of DAB2IP expression on cell proliferation, colony formation, apoptosis, cell cycle, and cell migration and invasion were evaluated by in vitro studies. DAB2IP expression was lower in osteosarcoma cell lines than in normal osteoblast cell lines. DAB2IP expression affected cell proliferation, apoptosis and cell cycle distribution. In addition, DAB2IP inhibited the migration and invasion of osteosarcoma and normal osteoblast cells. Therefore, DAB2IP may function as a tumor suppressor in osteosarcoma cell lines by inhibiting cell proliferation and invasion.