Miracle-dz/UniFAR-FTUs huggingface dataset:
Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition

Fusing a pair of low-spatial-resolution hyperspectral image (LR-HSI) and high-spatial-resolution multispectral image (HR-MSI) has been regarded as an effective and economical strategy to achieve HR-HSI, which is essential to many applications. Among existing fusion models, the tensor ring (TR) decomposition-based model has attracted rising attention due to its superiority in approximating high-dimensional data compared to other traditional matrix/tensor decomposition models. Unlike directly estimating HR-HSI in traditional models, the TR fusion model translates the fusion procedure into an estimate of the TR factor of HR-HSI, which can efficiently capture the spatial–spectral correlation of HR-HSI. Although the spatial–spectral correlation has been preserved well by TR decomposition, the spatial–spectral continuity of HR-HSI is ignored in existing TR decomposition models, sometimes resulting in poor quality of reconstructed images. In this article, we introduce a factor smoothed regularization for TR decomposition to capture the spatial–spectral continuity of HR-HSI. As a result, our proposed model is called factor smoothed TR decomposition model, dubbed FSTRD. In order to solve the suggested model, we develop an efficient proximal alternating minimization algorithm. A series of experiments on four synthetic datasets and one real-world dataset show that the quality of reconstructed images can be significantly improved by the introduced factor smoothed regularization, and thus, the suggested method yields the best performance by comparing it to state-of-the-art methods.
A Novel Dual-Wavelength Method for Evaluating Temperature Effect in Fiber-Optic SPR Sensors

The temperature effect is one of the critical factors to induce the resonance wavelength shift in fiber-optic surface plasmon resonance (SPR) sensors, which leads to the inaccuracy measurement of refractive index (RI) in practical applications. In this study, a novel dual-wavelength method is presented for fiber-optic SPR sensors to measure the changes of RI and temperature simultaneously in real time. A typical model of an SPR-based fiber optical sensor is constructed for theoretical analysis of temperature effect. Both the thermo-optic effect in the fiber core and phonon–electron scattering along with electron–electron scattering in the metal layer are studied systematically in the theoretical model. The linear and independent relationship, about the dependence of defined output signals on the RI and temperature, is validated by a theoretical calculation in specific dual wavelengths. A proof-of-concept experiment is conducted to demonstrate the capability of the presented dual-wavelength technique. The experimental results indicate that the presented dual-wavelength method is technically feasible and can be applied for practical application. Since the presented method only depends on the full advantages of the transfer spectrum data, it can be applied directly to the conventional single-channel fiber-optic SPR without any specific design structure of the sensor probe. The proposed method provides a new way to detect the RI under different thermal conditions and could lead to a better design for the fiber-optic SPR sensors.
Endophytic Serratia sp. PW7 shifts bacterial endophytes in wheat (Triticum aestivum L.) to reduce pyrene contamination

Abstract Endophytes in plants are an essential part of plant and participate in the functioning of plants. In this study, the endophytic bacterial communities in the inoculated wheat seedlings were accessed to reveal the effects of functional endophytic bacterium inoculation. The results showed that inoculation with endophytic strain Serratia sp. PW7 shifted endophytic bacterial communities and promoted bacterial diversities in inoculated plant, accompanied with the promotion of pyrene removal and plant growth. Pyrene exposure was beneficial for Serratia sp. PW7 growing and reproducing in the inoculated seedlings, and the endophytic bacterium alteration and pyrene removal were significantly positively correlated with the colonization efficiency of Serratia sp. PW7. The inoculation efficiency was high in those seedlings inoculated via roots and seeds. Inoculation had significant positive effects on the bacterial community diversities and no significant effects on the bacterial richness. More promotion of Shannon indices was observed on bacterial diversity in the inoculated seedlings grown under high pyrene contamination. The Shannon indices of endophytic bacteria in shoots increased by 23.1–37.2% as exposed to 100 μg·L−1 pyrene, and by 70.8–112.5% as exposed to 500 μg·L−1 pyrene.
A Goal Programming-Based Methodology for Machine Learning Model Selection Decisions: A Predictive Maintenance Application

The paper develops a goal programming-based multi-criteria methodology, for assessing different machine learning (ML) regression models under accuracy and time efficiency criteria. The developed methodology provides users with high flexibility in assessing the models as it allows for a fast and computationally efficient sensitivity analysis of accuracy and time significance weights as well as accuracy and time significance threshold values. Four regression models were assessed, namely the decision tree, random forest, support vector and the neural network. The developed methodology was employed to forecast the time to failures of NASA Turbofans. The results reveal that decision tree regression (DTR) seems to be preferred for low values of accuracy weights (up to 30%) and low accuracy and time efficiency threshold values. As the accuracy weights tend to increase and for higher accuracy and time efficiency threshold values, random forest regression (RFR) seems to be the best choice. The preference for the RFR model however, seems to change towards the adoption of the neural network for accuracy weights equal to and higher than 90%.
Investigation of Healthy Lifestyle Habits of Class Teacher Candidates in the Covid19 Period

This research was conducted to determine the healthy lifestyle habits of primary school teacher candidates during the covid-19 process. In the research 132 (99 Female, 33 Male) volunteer classroom teacher candidates who were studying at Fırat University Faculty of Education and selected by random sampling method participated. "Personal Information Form" was applied to determine the demographic information of the participants, and an online questionnaire form was applied to determine the nutritional habits and physical activity levels. Results; Differences were observed in the dietary habits and physical activity levels of the research group before and after the pandemic period. It has been determined that the pandemic period caused changes in the eating habits of the participants and that most of them changed in the number of meals, daily fluid consumption and the foods they consumed during snacks. During the pandemic period, it was seen that the majority of the research group did not do physical activity regularly and there was a decrease in physical activity, an increase in body weight and they did their physical activities at home. As a result, it was observed that the nutrition habits of class teacher candidates were negatively affected and their physical activity levels decreased during the Covid-19 process. It is thought that informing individuals about healthy nutrition and physical activity will positively affect their quality of life.
Understanding the Impact of e-Filing System Performance on Tax Compliance Using the DeLone and McLean Model

This study aims to investigate the impact of e-filing system performance on tax compliance applying DeLone and McLean IS Success Model. The study samples are 128 Indonesian micro, small, and medium entrepreneur (MSME) that selected using proportional random sampling. Data was collected using questionnaires and analyzed using SEM-PLS. The results showed that information quality and service quality have a positive effect on system use. In addition, information quality and system quality positively affect user satisfaction. By contrast, there is no impact of trust in e-government to either system use and user satisfaction. System use and user satisfaction positively influence taxpayers’ compliance. Meanwhile, gender does not moderate the effect of system use and user satisfaction on tax compliance.
Trends and projection of heavy snowfall in Hokkaido, Japan as an application of self-organizing map

This paper showed the frequency of local-scale heavy winter snowfall in Hokkaido, Japan, its historical change, and its response to global warming using self-organizing map (SOM) of synoptic-scale sea-level pressure anomaly. Heavy snowfall days were here defined as days when the snowfall exceeded 10 mm in water equivalent. It was shown that the SOMs can be grouped into three categories for heavy snowfall days: 1) a passage of extratropical cyclones to the south of Hokkaido, 2) a pressure pattern between the Siberian high and the Aleutian low, and 3) a low-pressure anomaly just to the east of Hokkaido. Groups 1 and 2 were associated with heavy snowfall in Hiroo (located in southeastern Hokkaido) and in Iwamizawa (western Hokkaido), respectively, and heavy snowfall in Sapporo (western Hokkaido) was related to Group 3. The large-ensemble historical simulation reproduced the observed increasing trend in Group 2 and future projection revealed that Group 2 was related to a negative phase of the Western Pacific pattern and the frequency of this group would increase in the future. Heavy snowfall days associated with SOM Group 2 would also increase due to the increase in water vapor and preferable weather patterns in global warming climate, in contrast to the decrease of heavy snowfall days in other sites associated with SOM Group 1.
A virtual motorcycle driver to simulate real manoeuvres from experimental data

The control of single-track vehicles represents a challenging task. The stability is characterized by vibration modes which change with the vehicle speed and acceleration and may possibly become unstable under certain motion conditions. This paper presents a virtual rider who accounts for these effects by updating the control action at each instant, based on the information of the approaching road section and the current vehicle state. This approach mimics the behaviour of a real rider, who looks ahead, learning a portion of the track and continuously using this information to decide when and how to steer and accelerate or decelerate. As an example of application, the virtual rider is employed to simulate a real manoeuvre using the experimental signals (namely the speed and the roll angle) of the real vehicle as the target motion for the virtual vehicle. A comparison between the virtual rider inputs and the real rider inputs is included. The essential properties that make the behaviour of the virtual rider consistent with that of the real human rider are addressed.
Design and modelisation of a straylight facility for space optical instrument

In the framework of instrument calibration, straylight issues are a critical aspect that can deteriorate the optical performances of instrument. To cope with this, a new facility is designed dedicated for in-field and far field straylight characterization: up to 10-8 for in-field and up to 10-10 for far field straylight in the visible to NIR spectral ranges. Moreover, from previous straylight test performed at CSL, vacuum conditions are needed for reaching the 10-10 rejection requirement mainly to avoid air/dust diffusion. The major constrains are to design a straylight facility either for in-field and out-field straylight measurements. That requires high dynamic range at source level and a high radiance point source allowing small diverging collimated beam. Moreover, the straylight facility has to be implemented into a limited envelope and has to be built with vacuum compatible materials and black coating. As checking the facility performance requires an instrument better than the facility itself, that is no easy to find, so that the performances have been estimated through a modelisation into a non sequential optical software. This modelisation is based on CAD importation of mechanical design, on BRDF characteristics of black coating and on statistical averaging of ray tracing at instrument entrance.
Performance of ML estimators for time of arrival estimation

The performance of a set of high-resolution algorithms for estimating the time of arrival of a band-limited signal received on a multipath channel is compared. The algorithms investigated use an increasing degree of known information about the channel and estimate the unknown elements using the maximum-likelihood criterion. In the first algorithm, no information on the amplitudes and phases of the multipath components is assumed. In the second algorithm, the statistics of the complex path gains are known to be jointly Gaussian and in the third case, the path gains are jointly Gaussian with a known correlation matrix. The three algorithms are compared using a simple two path channel model where the second path position is assumed known and the statistics of the error in measuring the delay of the first path are compared.
Detailed Experimental Validation of the Thermal and Fluid Dynamic Behavior of Hermetic Reciprocating Compressors

A detailed experimental analysis of the thermal and fluid dynamic behavior of hermetic reciprocating compressors is presented. A hermetic compressor for household appliances has been experimentally tested. The fluid and solid thermal map evolution has been logged in several strategic points. The absolute instantaneous pressure has been determined in three specific zones: suction muffler, compression chamber, and cylinder head. The pV diagram inside the compressor chamber has also been experimentally obtained for the different working conditions studied without any previous hypothesis to determine the absolute pressure level. A complete description of the experimental equipment and its instrumentation is included. This experimental approach has allowed validating a mathematical model developed for the numerical simulation of the thermal and fluid dynamic behavior of hermetic reciprocating compressors. Good agreement between the detailed numerical results and the experimental data has been obtained, allowing a better understanding of the thermal and fluid dynamic behavior of these compressors.
Simulation modeling for maritime port security

United States ports must be prepared for the threat of a small-vessel attack using weapons of mass destruction (WMD). To reduce the risk of such an attack, modeling was conducted at the Savannah River National Laboratory (SRNL) in Aiken, South Carolina, to develop options for redeployment of existing maritime law enforcement resources, deployment of new resources, and optimal use of geographic terrain. Agent-based modeling (ABM) implemented by the Automated Vulnerability Evaluation for Risks of Terrorism (AVERT®) software was used to conduct computer-based simulation modeling. The port-specific models provided estimates for the probability of encountering an adversary based on allocated resources under varying environmental conditions and traffic flow rates. Defensive resources include patrol and response platforms, some of which may be more appropriate in particular environmental conditions. A diverse range of potential adversary and attack scenarios was assessed for a large area port and also for a port with a narrow inlet, thereby identifying vulnerable pathways. For chokepoint operations, the probability of encountering an adversary was estimated for various configurations and operational tempos. As traffic flow increased, the probability of encountering an adversary decreased because the adversary could assimilate into traffic, while security forces were preoccupied inspecting pleasure craft. However, there was a significant increase in the probability of encountering an adversary (P(Encounter)) when additional patrols were added. Noted was a decreasing marginal benefit of additional patrols at low traffic levels. In open water, use of helicopters on patrol substantially increased the P(Encounter) by directing on-water security to target vessels. This capability was due to the far-reaching vision and speed capabilities of helicopters. As a result of ABM, more effective countermeasures can be deployed with available resources to reduce the risk of a small-vessel attack using WMD. The models can be expanded to all ports in the United States using generic models similar to those presented herein that can be matched to any port based on its size and shape.
A non-contact lie detector using radar vital signs monitor (RVSM) technology

Traditional lie detector testing requires the subject to be physically attached to a variety of sensors. This is impractical for scenarios such as checkpoints where a large number of individuals are entering at a high rate, necessitating the employment of other methods. Currently, checkpoint officers must make a quick decision to determine if an individual is being deceptive, and if, in turn, they should be searched. The remote detection of deception (RDD) concept uses a non-contact sensor to obtain physiological information that can be used to aid the checkpoint officer's decision. Such a device must be able to sense physiological signals from the body that may indicate deception in an unobtrusive and non-contact manner.
Metamaterials for Improving Efficiency of Magnetic Resonant Wireless Power Transfer Applications

In this article, we investigate a compact metamaterial structure for enhancing a magnetic resonant wireless power transfer (WPT) system operated at 6.5 MHz. A thin magnetic metamaterial (MM) slab placed between the transmitter (Tx) and receiver (Rx) coil can improve WPT efficiency. The metamaterial unit cell is designed by a ten-turn spiral resonator (10T-SR) loaded with an external capacitor. The resonant frequency of MM unit cells can be easily controlled by changing the capacitor value. By using the optimization approach, we achieve a significant WPT efficiency improvement at a mid-range distance. The results showed an enhancement of the magnetic field in the WPT system when MM slab was present. This demonstrates the ability to amplify the evanescent wave of MM slab, thereby improving the WPT efficiency. The transmission coefficients of WPT system at 60 cm increased from 0.5 to 0.76 with MM slab, which corresponds to a 46% improvement.
TRENDS IN SURGICAL ROBOTICS

Surgical Robotics today is essentially about two families of devices, namely telemanipulators and simulators for mini-invasive (endoscopic) procedures. In both cases, the user-interface, i.e. the "joystick" to be manipulated by the surgeon is one of the key elements. Today's commercial telemanipulators still rely almost exclusively on visual feedback only. Some surgery training simulators already have haptic (or force-) feedback. It is only a question of time until most surgical robots will have haptic feedback. In this contribution, we describe trends of surgical robotics with special emphasis on the possibilities and the significance of haptic man-machine interface. Potential synergies with cognitive neuroscience are highlighted.
Understanding Architectural Designers’ Continuous Use Intention Regarding BIM Technology: A China Case

Despite BIM technology influencing architectural design companies profoundly, there has still been an under-representation of architectural designers’ continuous use intention (CUI) regarding it. This paper aims to empirically examine what factors can potentially affect architectural designers’ CUI of BIM through the integration of a technology acceptance model (TAM) and an expectation confirmation theory (ECT). Sample data for empirical research were collected from architectural design companies in Qingdao, China. A total of 207 valid questionnaires were analyzed by using a structural equation modeling method. The findings show that the proposed theoretical model has good explanatory abilities for architectural designers’ CUI. Perceived ease of use and satisfaction significantly and directly affect CUI, whereas perceived usefulness and conformation have an indirect influence on CUI via satisfaction. This study contributes to a deepened understanding of architectural designers’ CUI regarding BIM. In order to further promote continuous use practices of BIM, valuable insights are provided for designers, companies, and software developers.
COMPUTERIZED SYSTEM FOR APPLICATION OF VALUE ENGINEERING METHODOLOGY

This paper aims to present an easy, quick, and accurate way of implementing value engineering (VE) studies by introducing an integrated computerized system for the VE technique and life-cycle cost as a checkout system. The VE computer program was designed using a database computer program, FoxPro Window. The computerized version of the VE study consists of several interactive panels, representing the systematic approach (job plan) of a VE study, through which all the information and data of the VE study will be input. The program will help the user to come up with the best selected idea, based on certain calculations that will be done automatically by the VE program. Moreover, the VE case studies that will be investigated by the program will be stored, and thus the program will also serve as a data bank for these case studies as references for future studies. The objective of this paper is not to create a smart VE system, but it can be considered a major step toward this objective.
Nanjing's Intracity Tourism Flow Network Using Cellular Signaling Data: A Comparative Analysis of Residents and Non-Local Tourists

With the rapid development of transportation and modern communication technology, “tourism flow” plays an important role in shaping tourism’s spatial structure. In order to explore the impact of an urban tourism flow network on tourism’s spatial structure, this study summarizes the structural characteristics of the tourism flow networks of 43 scenic spots in Nanjing from three aspects—tourism flow network connection, node centrality, and communities—using cellular signaling data and the social network analysis method. A comparative analysis revealed the tourism flow network structures of residents and non-local tourists. Our findings indicated four points. Firstly, the overall network connectivity was relatively good. Core city nodes displayed high spatial concentration and connection strength. However, suburban nodes delivered poor performance. Secondly, popular nodes were intimately connected, although there were no “bridging” nodes. Lesser-known nodes were marginalized, resulting in severe node polarization. Thirdly, regarding the network community structure, the spatial boundary between communities was relatively clear; the communities within the core city were more closely connected, with some parts encompassing suburban nodes. Most suburban communities were attached to the communities in the core area, with individual nodes existing independently. Fourthly, the primary difference in the tourism flow network structures between residents and non-local tourists was that the nodes for residents manifested a more balanced connection strength and node centrality. Core communities encompassed more nodes with more extensive coverage. Conversely, the nodes for non-local tourists showed wide discrepancies in connection strength and node centrality. Furthermore, core communities were small in scale with clear boundaries.