Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimalization Global Horizontal Irradiance Based On Weather Data Using Hybrid model Modified Decomposition FeedForward Neural Network

A novel hybrid modeling for optimized predictive of global horizontal irradiance (GHI) based on weather data with a combination of modified decomposition and feedforward Neural Network model. The proposed hybrid modeling is based on weather data, especially for the optimization of global horizontal irradiance. This hybrid modeling is a modified decomposition algorithm and feedforward neural network method. The modified Decomposition FNN (MD-FNN) hybrid method is designed to forecast GHI 60 minutes based on weather data for Photovoltaic generation. The novelty of this combination model is taking into account based on weather data. The model modified decomposition as a preprocessing to the feedforward neural network model. In the error statistical index of the MD-FNN method, the mean absolute percentage error (MAPE) is 1 %. Then, we compare this hybrid prediction method with the actual data. The composition and simulation results show that the MD-FNN method can be calculated with optimal accuracy each hour.
Commensurability and hysteretic evolution of vortex configurations in rotating optical lattices

We present a theoretical study of vortices within a harmonically trapped Bose-Einstein condensate in a rotating optical lattice. Due to the competition between vortex-vortex interactions and pinning to the optical lattice, we find a very complicated energy landscape, which leads to hysteretic evolution. The qualitative structure of the vortex configurations depends on the commensurability between the vortex density and the site density\char22{}with regular lattices when these are commensurate and the appearance of ringlike structures when they are not. We model the imaging of these structures by calculating time-of-flight column densities. As in the absence of the optical lattice, the vortices are much more easily observed in a time-of-flight image than in situ.
Glandular Cell Image Segmentation Method based on Improved SegNet Neural Network

Pathological biopsy is the gold standard for the diagnosis of colorectal cancer. Accurately finding the lesion area in the gland is helpful for timely diagnosis and follow-up treatment. However, due to the diversity and complexity of pathological data, its segmentation task faces challenges such as difficulty in feature extraction and instance segmentation. Aiming at the problem of reduced accuracy due to multi-scale targets and information loss during automatic segmentation of glandular cell images, this paper proposes an improved fully convolutional neural network based on SegNet network. The model follows the encoder-decoder structure, introduces residual blocks in the encoding network, increases the network depth, and adds a hole pyramid pool, so that the model outputs high-resolution feature maps and improves the segmentation accuracy of multi-scale objects. The experimental results show that on the test set A of the War wick-QU dataset, the segmentation accuracy of the model on gland images reaches 87.9%, and on the test set B with severe gland image distortion, the segmentation accuracy also reaches 83.8%, the semantic segmentation effect is significantly improved compared to the original SegNet model.
Core micro-instability analysis of JET hybrid and baseline discharges with carbon wall

The core micro-instability characteristics of hybrid and baseline plasmas in a selected set of JET plasmas with carbon wall are investigated through local linear and non-linear and global linear gyro-kinetic simulations with the GYRO code (Candy and Belli 2011 General Atomics Report GA-A26818). In particular, we study the role of plasma pressure on the micro-instabilities, and scan the parameter space for the important plasma parameters responsible for the onset and stabilization of the modes under experimental conditions. We find that a good core confinement due to strong stabilization of the micro-turbulence driven transport can be expected in the hybrid plasmas due to the stabilizing effect of the fast ion pressure that is more effective at the low magnetic shear of the hybrid discharges. While parallel velocity gradient destabilization is important for the inner core, at outer radii the hybrid plasmas may benefit from a strong quench of the turbulence transport by E × B rotation shear.
A study of decays to strange final states with GlueX in Hall D using components of the BaBar DIRC

We propose to enhance the kaon identification capabilities of the GlueX detector by constructing an FDIRC (Focusing Detection of Internally Reflected Cherenkov) detector utilizing the decommissioned BaBar DIRC components. The GlueX FDIRC would significantly enhance the GlueX physics program by allowing one to search for and study hybrid mesons decaying into kaon final states. Such systematic studies of kaon final states are essential for inferring the quark flavor content of hybrid and conventional mesons. The GlueX FDIRC would reuse one-third of the synthetic fused silica bars that were utilized in the BaBar DIRC. A new focussing photon camera, read out with large area photodetectors, would be developed. We propose operating the enhanced GlueX detector in Hall D for a total of 220 days at an average intensity of 5x10^7 {\gamma}/s, a program that was conditionally approved by PAC39
Quantum Processes and Energy-Momentum Flow

In this paper we focus on energy flows in simple quantum systems. This is achieved by concentrating on the quantum Hamilton-Jacobi equation. We show how this equation appears in the standard quantum formalism in essentially three different but related ways, from the standard Schrodingier equation, from Lagrangian field theory and from the von Neumann-Moyal algebra. This equation allows us to track the energy flow using the energy-momentum tensor, the components of which are related to weak values of the four-momentum operator. This opens up a new way to explore these components empirically. The algebraic approach enables us to discuss the physical significance of the underlying non-commutative symplectic geometry, raising questions as to the structure of particles in quantum systems.
Stoichiometry control of the electronic properties of the LaAlO3/SrTiO3 heterointerface

We investigate the effect of the laser parameters of pulsed laser deposition on the film stoichiometry and electronic properties of LaAlO3/SrTiO3 (001) heterostructures. The La/Al ratio in the LaAlO3 films was varied widely from 0.88 to 1.15, and was found to have a strong effect on the interface conductivity. In particular, the carrier density is modulated over more than two orders of magnitude. The film lattice expansion, caused by cation vacancies, is found to be the important functional parameter. These results can be understood to arise from the variations in the electrostatic boundary conditions, and their resolution, with stoichiometry.
SECULAR STELLAR DYNAMICS NEAR A MASSIVE BLACK HOLE

The angular momentum evolution of stars close to massive black holes (MBHs) is driven by secular torques. In contrast to two-body relaxation, where interactions between stars are incoherent, the resulting resonant relaxation (RR) process is characterized by coherence times of hundreds of orbital periods. In this paper, we show that all the statistical properties of RR can be reproduced in an autoregressive moving average (ARMA) model. We use the ARMA model, calibrated with extensive N-body simulations, to analyze the long-term evolution of stellar systems around MBHs with Monte Carlo simulations. We show that for a single-mass system in steady state, a depression is carved out near an MBH as a result of tidal disruptions. Using Galactic center parameters, the extent of the depression is about 0.1 pc, of similar order to but less than the size of the observed “hole” in the distribution of bright late-type stars. We also find that the velocity vectors of stars around an MBH are locally not isotropic. In a second application, we evolve the highly eccentric orbits that result from the tidal disruption of binary stars, which are considered to be plausible precursors of the “S-stars” in the Galactic center. We find that RR predicts more highly eccentric (e > 0.9) S-star orbits than have been observed to date.
A Statistical Model for the Report of Online Public Opinion Data

At present, there are some problems in public opinion information collection and statistics in China, such as non-uniform task distribution formats, complicated data reporting methods, lack of checking methods for reported data, and low statistical efficiency. In view of the above problems, this paper proposes a statistical model of public opinion and control data submission, Including: A) Classifying the data collection objects, and define each category as a channel; B) Defining the statistical indicator set and reported indicator data set for each channel; C) Binding the products or departments of each reporting unit to one or more channels; D) Summarize the aggregated data by channels and present the data by departments, channels, and products; E) Extracting the reported indicator data that is in a mapping relationship with the statistical indicators, and the indicator data at multiple levels is collected to generate statistical reports based on the statistical indicator catalog and statistical rules. Through the reporting units, data visitors, management units and administrator, a technical channel of data reporting is established to increase the speed and accuracy of data collection, improve the ability of data analysis, and realize the automation, systematization and the modularization of data reporting and statistics.
WHO PULLED THE TRIGGER: A SUPERNOVA OR AN ASYMPTOTIC GIANT BRANCH STAR?

The short-lived radioisotope (SLRI) 60Fe requires production in a core collapse supernova or asymptotic giant branch (AGB) star immediately before its incorporation into the earliest solar system solids. Shock waves from a somewhat distant supernova, or a relatively nearby AGB star, have the right speeds to simultaneously trigger the collapse of a dense molecular cloud core and to inject shock wave material into the resulting protostar. A new set of FLASH2.5 adaptive mesh refinement hydrodynamic models shows that the injection efficiency depends sensitively on the assumed shock thickness and density. Supernova shock waves appear to be thin enough to inject the amount of shock wave material necessary to match the SLRI abundances measured for primitive meteorites. Planetary nebula shock waves from AGB stars, however, appear to be too thick to achieve the required injection efficiencies. These models imply that a supernova pulled the trigger that led to the formation of our solar system.
Individual addressing of ions using magnetic field gradients in a surface-electrode ion trap

A dense array of ions in microfabricated traps represents one possible way to scale up ion trap quantum computing. The ability to address individual ions is an important component of such a scheme. We demonstrate individual addressing of trapped ions in a microfabricated surface-electrode trap using a magnetic field gradient generated on-chip. A frequency splitting of 310(2) kHz for two ions separated by 5 μm is achieved. Selective single qubit operations are performed on one of two trapped ions with an average of 2.2(±1.0%) crosstalk. Coherence time is reduced by the magnetic field gradient, but the spin-echo technique effectively restores the coherence time.
Real-time Detection of Aquarium Fish Species Using YOLOv4-tiny on Raspberry Pi 4

A version of the YOLO detection algorithm, the YOLOv4, has yet to find much use on aquatic species. Detection systems optimized for aquarium fish species are also currently lacking. This study provides a detection program for select fish species, namely the dwarf gourami, guppy, and zebrafish, using the YOLOv4-tiny detection model. The program was implemented in the Raspberry Pi 4 Model B single-board computer with an 8MP camera. The YOLOv4-tiny model was trained using images from Kaggle, FishBase, and the Global Biodiversity Information Facility, along with local images. The program was tested on live samples of the three fish species along with one irrelevant fish species, the petticoat tetra. There were three live samples of each species. Close shots for each sample were taken from the aquarium's front, left, right, and back sides, making a total of 48 images for detection. Training data and the confusion matrix from the experiment were utilized to determine the program's reliability in detecting the fish species. For the results, the trained model achieved a mAP of 97.81% during training and a global accuracy of 91.67% during the experiment. The program exhibited reliable performance across the board, achieving above 90% AP and accuracy in all classes.
Research and Exploration on PCE-Based BIER multicast solution

With the increasing enrichment of online video, the number of users of video and webcast has increased sharply. Accordingly, the proportion of video traffic in Internet traffic has increased gradually. The rapid growth of video traffic has accelerated people's demand for video multicast. At the same time, traditional multicast services also need to be upgraded accordingly. Therefore, combined with the new multicast technology Bit Index Explicit Replication (BIER), this paper proposes a complete BIER multicast solution based on Path Computation Element Protocol (PCEP) with Software Defined Network (SDN) controller. This solution has the advantages of centralized management and flexible expansion, and can be used in video, financial and other multicast services to improve user experience. According to the business analysis of different application scenarios, the PCE-Based BIER multicast solution has many advantages in performance and reliability, and has a good development prospect.
Circular coloring of random graphs: statistical physics investigation

Circular coloring is a constraint satisfaction problem where colors are assigned to nodes in a graph in such a way that every pair of connected nodes has two consecutive colors (the first color being consecutive to the last). We study circular coloring of random graphs using the cavity method. We identify two very interesting properties of this problem. For sufficiently many color and sufficiently low temperature there is a spontaneous breaking of the circular symmetry between colors and a phase transition forwards a ferromagnet-like phase. Our second main result concerns 5-circular coloring of random 3-regular graphs. While this case is found colorable, we conclude that the description via one-step replica symmetry breaking is not sufficient. We observe that simulated annealing is very efficient to find proper colorings for this case. The 5-circular coloring of 3-regular random graphs thus provides a first known example of a problem where the ground state energy is known to be exactly zero yet the space of solutions probably requires a full-step replica symmetry breaking treatment.
Low Quality Samples Detection in Motor Imagery EEG Data by Combining Independent Component Analysis and Confident Learning

Electroencephalogram (EEG), a non-invasive method of brain signal acquisition, is an important part of the research of motor-imagery brain-computer interface (MI-BCI). However, the collected EEG dataset are often contaminated by various kinds of noise and artifacts. Furthermore, noisy labeled samples are often generated due to fatigue and distraction of subject in data acquisition. These low-quality samples will deteriorate the performance of MI - BCI. Therefore, the data cleaning technique is needed in EEG-based BCI research. In this paper, the feasibility and performance of confident learning (CL) for detecting low-quality samples in motor imagery EEG (MI-EEG) data was studied. We found that the CL method, while very effective in image data cleaning, is not suitable for EEG processing due to the impact of artifacts in MI-EEG data. So, we proposed to use the simplified infomax (slnfomax) independent component analysis (ICA) as the preprocessing step to improve the signal to noise ratio (SNR) of MI-EEG. The experimental results on benchmark MI-EEG datasets via convolutional neural network (CNN) demonstrated that, compared with CL only, the combination of sInfomax and CL can achieve more reliable results in low-quality MI-EEG data selection.
30 GHz Front-End with Adaptively Biased PA and Current Steering LNA for Phased Array Systems

This work presents a wideband switchless Front-End (FE) which contains a two-stage power amplifier (PA) and a two-stage low noise amplifier (LNA). The linearity of the PA is the focus of the work in the transmitter side (TX) and is improved by adopting a stacked configuration with an adaptive bias technique. The adaptive bias improves the output compression point (O1dB) by nearly 5 dBm. A driver is placed before the output stage of the PA to ensure wideband operation and higher gain. The LNA consists of two-stage single ended configurations and uses the current steering architecture to provide extended reconfigurable operation. Both LNA and PA are connected to the antenna through a passive structure called duplexer which provides optimum noise and power matching at each side with low losses and minimum area occupation. The process used for the design is TSMC’s 40nm bulk CMOS and all the simulations are post layout extracted. The design covers a 3-dB bandwidth of 11 GHz from 22.7 to 33.8 GHz and presents linearity of 18 dBm for the TX and a noise figure (NF) of 4.5 dB for the RX part with 20.7 dB gain.
Microelectronics in the 21st Century: Technology, Economics, Policies

The semiconductor industry started in the 1950s, growing continuously and progressing steadily thanks in ability to innovate, to the unique economic conditions under which it operates, and to the government interventions that shaped it. This paper provides a brief survey of this journey, suggesting that the current period is probably going to redefine the shape of the industry for many years to come.
THE MID-INFRARED CONTINUA OF SEYFERT GALAXIES

An analysis of archival mid-infrared (mid-IR) spectra of Seyfert galaxies from the Spitzer Space Telescope observations is presented. We characterize the nature of the mid-IR active nuclear continuum by subtracting a template starburst spectrum from the Seyfert spectra. The long wavelength part of the spectrum contains a strong contribution from the starburst-heated cool dust; this is used to effectively separate starburst-dominated Seyferts from those dominated by the active nuclear continuum. Within the latter category, the strength of the active nuclear continuum drops rapidly beyond ∼20 μm. On average, type 2 Seyferts have weaker short-wavelength active nuclear continua as compared to type 1 Seyferts. Type 2 Seyferts can be divided into two types, those with strong polycyclic aromatic hydrocarbon (PAH) bands and those without. The latter type show polarized broad emission lines in their optical spectra. The PAH-dominated type 2 Seyferts and Seyfert 1.8/1.9s show very similar mid-IR spectra. However, after the subtraction of the starburst component, there is a striking similarity in the active nuclear continuum of all Seyfert optical types. PAH-dominated Seyfert 2s and Seyfert 1.8/1.9s tend to show weak active nuclear continua in general. A few type 2 Seyferts with weak/absent PAH bands show a bump in the spectrum between 15 and 20 μm. We suggest that this bump is the peak of a warm (∼200 K) blackbody dust emission, which becomes clearly visible when the short-wavelength continuum is weaker. This warm blackbody emission is also observed in other Seyfert optical subtypes, suggesting a common origin in these active galactic nuclei.
Refractive-index-based ultrasound sensing with photonic crystal slabs.

We demonstrate ultrasound detection with 500-μm-diameter photonic-crystal slab (PCS) sensors fabricated from CMOS-compatible technology. An ultrasound signal impinging a PCS sensor causes a local modulation of the refractive index (RI) of the medium (water) in which the PCS is immersed, resulting in a periodic spectral shift of the optical resonance of the PCS. The acoustic sensitivity is found to scale with the index sensitivity S and quality factor Q. A noise equivalent pressure (NEP) of 650 Pa with averaging (7.4 Pa/Hz) and relative wavelength shifts of up to 4.3×10-5 MPa-1 are measured. The frequency response of the sensors is observed to be flat from 1 to 20 MHz, with the range limited only by our measurement apparatus.
Plasmonic nanoprobes for stimulated emission depletion microscopy

Plasmonic nanoparticles influence the absorption and emission processes of nearby emitters due to local enhancements of the illuminating radiation and the photonic density of states. Here, we use the plasmon resonance of metal nanoparticles in order to enhance the stimulated depletion of excited molecules for super-resolved microscopy. We demonstrate stimulated emission depletion (STED) microscopy with gold nanorods with a long axis of only 26 nm and a width of 8 nm that provide an enhancement of the resolution compared to fluorescent-only probes without plasmonic components irradiated with the same depletion power. These novel nanoparticle-assisted STED probes represent a ~2x10^3 reduction in probe volume compared to previously used nanoparticles and we demonstrate their application to the first plasmon-assisted STED cellular imaging. We also discuss their current limitations.
Reliable and energy-efficient transmission scheme based on error correction codes and clustered routing protocol for WSN

WSNs are getting to occupy a large part of daily life for many applications such as healthcare, military, environment, home, and so forth. Sensor nodes in WSNs are powered by small batteries and can be deployed in a hostile environment, where replacing or recharging them is difficult. As a result, WSNs are energy-constrained. In this context, several routing protocols are proposed to extend the network lifetime and optimize energy consumption. However, routing protocols can not guarantee communication reliability. To achieve the high-reliability requirements of data transmitted using the routing protocols, using channel coding in the physical layer is proposed. For this purpose, a comparative study is carried out in this work by comparing two different modern coding techniques, namely LDPC and RS coding. The objective of this paper is to determine which coding scheme better satisfies the requirements of clustered routing protocols, in particular the LEACH protocol. Simulations have shown that LDPC coding achieves good reliability performance over RS when implemented with the LEACH protocol by increasing the coding gain by 62.5% at a BER of 10−2.
Holographic black hole engineering at finite baryon chemical potential

This is a contribution for the Proceedings of the Conference Hot Quarks 2016, held at South Padre Island, Texas, USA, 12-17 September 2016. I briefly review some thermodynamic and baryon transport results obtained from a bottom-up Einstein-Maxwell-Dilaton holographic model engineered to describe the physics of the quark-gluon plasma at finite temperature and baryon density. The results for the equation of state, baryon susceptibilities, and the curvature of the crossover band are in quantitative agreement with the corresponding lattice QCD results with 2 + 1 flavors and physical quark masses. Baryon diffusion is predicted to be suppressed by increasing the baryon chemical potential.