Miracle-dz/UniFAR-FTUs huggingface dataset:
Air stability of TiO2/PbS colloidal nanoparticle solar cells and its impact on power efficiency

The short-term (less than 1 hour) exposure of TiO2/PbS quantum dot photovoltaics to air increases the open circuit voltage (Voc) and fill factor (FF) while slightly decreasing the short circuit current density (Jsc), leading to a power conversion efficiency above 4% and a peak external quantum efficiency over 80% for 1.1 eV PbS. The resulting Jsc, Voc, and FF under 100 mW/cm2 AM1.5 are 18.6 mA/cm2, 0.517 V, and 42% for 1.1 eV PbS and 8.03 mA/cm2, 0.655 V, and 35% for 1.7 eV PbS, respectively. Long-term air exposures result in much lower conductivities. Furthermore, short-term air exposure effects are fully reversible upon removal from air, and longer-term effects are mostly reversible through soaking in 1,2-ethanedithiol.
Dynamic Analysis and Chaotic Suppression of Cuk Converter under Memristor Load

As a nonlinear memory device, the memristor is often used as a circuit load. In this paper, a nonlinear memory system based on a traditional current-mode Cuk converter with a voltage-controlled memristor is constructed. By deducing the state equation of circuit topology and the continuous current mode state equation, the simulation model is constructed. The dynamic characteristics of the system are explored by using a sequence diagram, phase diagram and bifurcation diagram. In addition, parametric resonance micro perturbation is introduced to suppress the chaos of the system. Finally, by using PYTHON and PSIM for simulation, the results verify the dynamic characteristics of the system and the effectiveness of the control method.
Using the Monte Carlo method to determine the volume of excavation work

The article describes a method for calculating the volume of spatial models when performing earthworks. It is based on the Monte Carlo method. The solution of the problem is based on the use of photogrammetric survey and the construction on this basis of a digital model of the surface and a three-dimensional digital model of the result of excavation work. Additionally, a reference three-dimensional object is introduced, covering the volume of excavation work. The dimensions and volume of the reference object are known. A random number sensor with a uniform distribution is used. The method is based on comparing relations of discrete sets and continuous sets. The concept of discrete volume is introduced. Based on comparative estimates of discrete volumes and continuous volumes, the volume of a three-dimensional object is calculated using the known volume of the standard. The method excludes geometric volume calculations for complex configurations of walls and the bottom of a three-dimensional object. The article contains an assessment of the applicability of the method and an estimate of calculation errors.
Remaining Useful Life Prediction of Rolling Bearings Based on PCA and GSACO-SVR Model

The prediction of the remaining useful life (RUL) of rolling bearings facilitates the better development of maintenance programs. It is very important to improve prediction accuracy. We proposed an improved optimized support vector regression (GSACO-SVR) model to accurately predict the RUL of bearings, which is based on a new golden sine ant colony algorithm (GSACO) aiming to optimize the support vector regression (SVR) parameters. Compared with SVR, fruit fly algorithm, and ant colony algorithm under different working conditions by experiments, the GSACO-SVR model has more accurate prediction results and better bearing life degradation trend.
Exhaled air Raman spectroscopy for Helicobacter pylori diagnostics

The possibility using Raman spectroscopy in the analysis of samples for the urease breath test to diagnose the presence of the bacterium Helicobacter pylori has been demonstrated. The Raman scattering spectra of the air exhaled by a person were obtained, the volume fractions of 12CO2 and 13CO2 in exhalation samples were determined.
Extraction of individual gait features in mobile phone accelerometer

An algorithm for extracting individual signs of a person’s gait according to the data of a mobile phone accelerometer is considered. The developed algorithm includes the stage of data segmentation, correlation selection of motion patterns, and data clustering procedures. By selecting noisy segments, the quality of data clustering and the extraction of individual features is improved. The results of the algorithm work allow us to refine the existing models of changes in human motor behavior in personalized medicine and security systems. The article also discusses the features of data segmentation and the influence of external factors on the measurement results.
Mission Planning in Time-Invariant Domains with MDPs and Gaussian Distribution

This thesis uses the Markov decision process (MDP) to investigate how the optimal path is decided by the underwater robot in the presence of different currents. The use of this MDP decision allows the machine to reduce the unwanted travel energy and travel time in different environments, enhancing the cost of using the machine. The scope of the study is a specific problem, and the paper describes how to use a python planning framework to solve path selection in the case where the direction and strength of the currents are determined, while incorporating a probability distribution of Gaussian functions in a finite space. The dynamical ocean current problem is used as a basis to use the MDP decision process. The final results show that the present study meets the hypotheses presented in the expectations. The results are able to simulate that the robot can find the optimal path and reach the target point when facing different currents underwater. By expanding the spatial extent of the observation and changing the parameter settings, it is possible to simulate the robot’s path in other situations. The research method can be extended from specificity to generality, and the same research method can be used to obtain optimal path decisions for other different situations.
Electronic structure of radially deformed BN and BC 3 nanotubes

We investigate the band-gap modification by radial deformation in BN and BC3 nanotubes through first-principles pseudopotential density-functional calculations. In zigzag BN nanotubes, radial deformations that give rise to transverse pressures of about 10 GPa decrease the gap from 5 to 2 eV, allowing for optical applications in the visible range. When armchair BC3 nanotubes with the gap of about 0.5 eV are collapsed down to the interlayer distance of 3.5 Angstroms, a gap closure occurs due to the lowering of the unoccupied pi band. On the other hand, the band gaps of armchair BN and zigzag BC3 nanotubes are found to be insensitive to radial deformations. This different behavior between zigzag and armchair nanotubes is attributed to different characteristics of states near the gap.
Ion temperature profile importance in collisional sheath modelling

A plasma fluid model is being developed for the simulation of a direct current plasma discharge simulation including the sheath regions. The code uses a second order centered finite difference scheme and time integration is done by strong stability preserving third order Runge-Kutta method. The separation of scalar and vectorial quantities in two different grids gives stable results. After validation by comparison with theoretical ion sheath profiles, a one dimensional direct current argon discharge was simulated and compared to 1D3v particle-in-cell simulation results. It is shown that the inclusion of a non constant ion temperature profile is mandatory in fluid models in order to recover correct increase of ion velocity in sheaths and thus to simulate direct current (DC) discharges where collisions are not negligible in the sheaths.
Visible and infrared detectors at Rockwell Science Center

Rockwell Space Center is developing low-noise visible and IR imaging sensors and systems for astronomy, high-end commercial, NASA, and advanced military applications. The first science grade 2048 by 2048 HAWAII-2 focal plane array (FPA) for astronomy was recently demonstrated for the SWIR waveband. Science-grade deliveries to the University of Hawaii's Institute for Astronomy, the European Southern Observatory and the Subaru Telescope, among others, will soon start. MWIR/visible 2048 by 2048 HAWAII-2 arrays are also being developed for the NGST program using our process for removing the CdZnTe substrate from the back-side illuminated HgCdTe FPAs to detect visible radiation in addition to IR. Previously, more than 25 science grade 2.5micrometers 1024 by 1024 HAWAII FPAs were delivered for use in many observatories; these typically exhibit < 0.1 e-/s dark current and < 10 e- read noise after correlated double sampling at temperatures above 60K. 1024 by 1024 FPAs development is also continuing; dark current < 1 e-/s has been measured at 140K for a NIR 1024 by 1024 HAWAII array. In a related effort, development of high frame rate, low noise FPAs has begun for wavefront sensing including adaptive optical systems for both visible and NIR/SWIR bands. Hybrid Visible Silicon Imager development is also continuing, expanding the success achieved with prior 640 by 480 FPAs. We are now demonstrating 1024 by 1024 arrays with 0.3-1.05 micrometers response. The silicon detectors in HyViSI FPAs are independently processed on silicon wafers and mated to the same multiplexers fabricated originally for interface to HgCdTe detectors. HyViSI FPA quantum efficiency is > 90 percent with near-100 percent fill factor, and the dark current is negligible with minimum cooling. Our near-term plan to develop 4096 by 4096 visible and IR FPAs will also be discussed.
Basic GAN Models and the Application In Medical Image Field

Generative adversarial networks (GANs) have shown its prominent performance to the world and be exploited in many areas. For example, generating human face image, translating image between different domain, generating supplementary data for tasks which lacks training and labeled data. Specially, GANs also shows its potential in medical image analysis. It can tackle the problems in medical image analysis such as medical image translation, segmentation, reconstruction, detection and image classification. Being capable of generating images at amazing level of realisim, GANs gives the opportunity to resolve the problem that labeled data for those rare diseases cannot meet the need for medical field. In this paper, we give an overview of GANs and its application in medical image analysis. Defects and advantages of those GANs methods are also thoroughly reviewed. We also discuss its potential improvement in future. We review those most frequently methods published until now. And essential details about papers we discussed in this paper and access to that paper is attached at the endpage.
Metallographic properties evaluation of the specimens obtained by the vibratory method (cast iron ISO 400-12)

The objective of this research is to evaluate the metallographic properties to obtain cast iron with nodular spherical graphite ISO 400-12 by “In mold” modification using the vibratory method. To carry out the experiments, a model was prepared to reproduce the specimens used, according to the ASTM A0536-84R04 standard for the certification of the quality of cast iron with spherical nodular graphite. The pouring temperature levels were adapted to the wall thickness of the specimens. Vibration frequency (65 Hz, 70 Hz, 75 Hz), pouring temperature (1450°C and 1425°C) and mass of nodulizing alloy FeSiMg (NODULAN II) (189.98 g; 170.99 g; 151.99 g), calculated by the traditional method, were set as independent variables. The applied vibratory method caused changes in the morphology of the metal, as high spheroidization was obtained for all levels of modified alloy mass and smaller nodules (from 40 μm to 60 μm in diameter) were achieved. The tensile strength and relative elongation of the specimens obtained by the vibratory method were similar to the international standards for this type of casting and higher than the castings with nodular spherical graphite obtained under static conditions. Finally, the standard specimens (static method) and the specimens obtained by the vibratory method were obtained, and the metallographic and mechanical properties tests established by the international standards were carried out.
Damping analysis and measurement for a comb-drive scanning mirror

In this paper we present the analytical and experimental investigation of the air damping of micromachined scanning mirrors with out-of-plane comb drive actuation. A simple, compact model for the damping torque is derived by estimating the orders of magnitude of certain damping contributors. Viscous damping in comb finger gaps is estimated to be the dominant contributor. Because the comb fingers disengage as the scan amplitude increases, the damping coefficient is dependent on the amplitude of angular vibrations. Experimental measurements are presented for a variety of comb-finger geometries. The comb finger length, width, and the gap between comb fingers are varied, and the damping behaviour for single-axis scanning is characterised by measuring the decay rate of free oscillations. The damping is characterised by the exponential decay constant δ, found by fitting to the decaying oscillation amplitude. The predictions of the analytical model are compared to these experimental damping measurements.
Overview of ship image recognition methods based on computer vision

This paper introduces the research background of water traffic problems, analyzes the Marine equipment in the process of shipping the deficiencies, on the basis of introducing the concept of image recognition, computer vision and computer vision image recognition are briefly introduced the development of the status situation, sums up and summarizes the recent years research direction such as neural networks based on machine learning, convolution algorithm, For ship image recognition method, and from static image recognition to the complex environment of image recognition, and machine learning, convolutional neural networks based algorithm was analyzed, and the advantages and disadvantages and applicable environment, finally put forward to build a multilateral participation information fusion detection framework to implement the idea of the safe navigation of the ship.
Screening of simple sequence repeats (SSR) primers from mutated Indigofera zolligeriana Miq plants

The mutated plants from Indigofera zolligeriana were screened using 14 SSR primers, to know the polymorphic DNA profiles of mutated plants. For screening these primers we used 12 DNA genomes of mutated I. zolligeriana plants. DNA genomes from 12 mutated plants were isolated. Amplification of 12 DNA genomes using multiplex PCR method followed by optimization of the method to obtain the best band profiles. Screening with the 14 SSR primers showed that not of the 14 primers used could amplify DNA genomes of mutated I. zollingeriana. Five primers showed polymorphic bands at 59°C and 13 primers at 48°C. After all treatments, 12 primers are suitable for use in further DNA profiling of other mutated I. zolligeriana plants.
DAMAGE IDENTIFICATION USING COMMITTEE OF NEURAL NETWORKS

This paper presents a committee of neural networks technique, which employs frequency response functions (FRFs), modal properties (natural frequencies and mode shapes), and wavelet transform (WT) data simultaneously to identify damage in structures. The experimental demonstration of the method is obtained by studying the sensitivities of the FRFs, modal properties, and WT data to four types of faults in a cylindrical shell. The experimental results show that different faults affect data in a different manner. The proposed approach is tested on simulated data from a three-degree-of-freedom mass-spring-damper system. The results from the simulated study show that the performance of the approach is not influenced by the noise in the data. Finally, the method is used to identify damage in a population of ten steel seam-welded cylindrical shells. The proposed method is able to identify damage cases better than the three approaches used individually. The committee approach gives results that generally have a lower mean square error (MSE) than the average MSE of the individual methods. It is found that the effectiveness of the method is enhanced when experimentally measured data are used, which is in contrast to many existing methods. This is because the committee approach assumes that the errors given by the three approaches are uncorrelated, a situation that becomes more apparent when using measured data rather than simulated data.
Research on control and management mechanisms in Time-sensitive networks

In recent years, with the development of the new generation of network information and communication technology, the internet of things, the internet of vehicles and the industrial internet technology have been booming. At the same time, many time-sensitive businesses have sprung up. The demand of these businesses for data transmission is developing towards the direction of high rate, low delay and low jitter. The current internet technology is facing great challenges. However, due to the inherent problems of forwarding mode and control management mechanism, traditional ethernet is difficult to meet the real-time, deterministic and reliability demands of time-sensitive flows. In the face of the urgent demand for the deterministic data transmission of time-sensitive businesses, time-sensitive network technology emerges at the historic moment.
The ill-posed Hele-Shaw model and the Stefan problem for supercooled water

The Hele-Shaw flow of a slow viscous fluid between slightly separated plates is analyzed in the ill-posed case when the fluid recedes due to absorption through a core C. Necessary and sufficient conditions are given on the initial domain occupied by the fluid to ensure the existence of a solution. Regularity of the free boundary is established in certain rather general cases. Similar results are obtained for the analogous parabolic version, which models the one-phase Stefan problem for supercooled water.
On the interactions of sound waves and vortices

The effects of vortices on the propagation of acoustic waves are numerous, from simple convection effects to instabilities in the acoustic phenomena, including absorption,reflection and refraction effects. This work focusses on the effects of mean flowvorticity on the acoustic propagation. First, a theoretical background is presentedin chapters 2-5. This part contains: (i) the fluid dynamics and thermodynamicsrelations; (ii) theories of sound generation by turbulent flows; and (iii) operators takenfrom scientific literature to take into account the vorticity effects on acoustics. Later,a family of scalar operators based on total enthalpy terms are derived to handle meanvorticity effects of arbitrary flows in acoustics (chapter 6). Furthermore, analyticalsolutions of Pridmore-Brown’s equation are featured considering exponential boundarylayers whose profile depend on the acoustic parameters of the problem (chapter 7). Finally, an extension of Pridmore-Brown’s equation is formulated for predicting theacoustic propagation over a locally-reacting liner in presence of a boundary layer oflinear velocity profile superimposed to a constant cross flow (chapter 8).
Life Prediction Method of Electromagnetic Contactor Based on Fusion of Improved Particle Filter and Degradation Model

Electromagnetic contactors are the key components of high-speed trains. A reasonable evaluation of the remaining life of the contactors can optimize the replacement cycle of the contactors and ensure the safe operation of the train. Aiming at the problem of remaining life prediction of contactors, a contactor life prediction method based on the fusion of improved particle filter algorithm and performance degradation model is proposed. Firstly, on the basis of analyzing the failure mechanism of the contactor and establishing its electromagnetic and dynamic simulation model, a performance degradation model based on overtravel time is established. Then design the contactor life test to obtain its full life cycle degradation data. Next, the adaptive genetic algorithm is used to optimize the resampling process of the particle filter algorithm. Finally, the optimal parameter values of the performance degradation model are obtained by the improved particle filter algorithm, and then the prediction of the remaining life of the contactor is realized. The prediction results show that the method can effectively predict the remaining life of the contactor, and the prediction accuracy meets the actual engineering needs, which provides an important reference for the operation and maintenance of the electromagnetic contactor for high-speed trains.
Empowerment of Women Tea Pickers (A Case Study on Lawu Mountainside in Karanganyar Regency)

The shift in women’s roles from domestic to public is a phenomenon in the development of the social, economic, and political reality of women. Women’s awareness of non-domestic roles is increasing but their involvement does not mean they are more empowered or that more attention is given to women’s rights. This research describes the shift in women’s roles and their contribution to meeting household needs, and how the empowerment of women is implemented. The research method is descriptive qualitative and the data analysis uses an interactive analysis. The research results show that there is a division of work in daily life, in which men work to fulfil their social needs while women have to bear the burden of their economic needs. This work division is seen in farm management, where men’s work is dominated by crops with a high economic value or livestock farming, while women’s work focuses on crops with a low economic values and small livestock. Empowerment of women is carried out in three ways: capacity building, cultural change, and structural adjustment, based on the social, political, and psychological strengths of women tea pickers.
Active Noise Cancellation and Its Applications

The goal of this review is to introduce the concept of Active Noise Cancellation (ANC) technique and explain the core algorithms supporting this technology. Through showing the implementations and major features of those algorithms, we were able to gain a better understanding of what’re the dominating algorithms used by the ANC technology and both the traditional and non-traditional applications of ANC in today’s market. Finally, the review also reveals the potential problem with the ANC technique and the opportunities for improvements.
The Identification of Key Nodes in Aviation Networks

Identifying key nodes of aviation networks is a challenging and valuable issue, which depends on the measurement and ranking of node importance. Node importance can be measured statically according to certain network topology characteristic. The efficiency of this method is high. Node importance can also be measured dynamically according to certain network dynamic process. The result measured by this method is more accurate and reasonable. The current situation of this research is systematically described. The future trend of this research is revealed as well.