Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Internet of Things technology in Human resource recommendation engine

In order to avoid the phenomenon of information overload in the field of human resources, the author proposes a human resource recommendation engine based on Internet of Things technology. Firstly, the application fields of the Internet of Things are introduced, and the human resource recommendation engine is designed, use a mixed referral approach in the HR field. We chose a hybrid recommendation strategy of PLSA and content based on the Internet of Things. The author introduces the human resource recommendation and content-based human resource recommendation of PLSA based on the Internet of Things respectively, on the basis of the above introduction, through the analysis of the existing hybrid recommendation strategy, a weighted hybrid method of PLSA based on the Internet of Things and content-based recommendation algorithm is proposed. In order to verify the feasibility of the proposed IoT-based PLSA and content-based HR recommendation method, we conducted a multi-step experiment. We selected 50 graduating students from A University to participate in this experiment, and the results show that in order to verify the overall effect of the algorithm, with accuracy and recall as evaluation criteria, we conducted experiments on recommendation algorithms of PLSA based on Internet of Things, content-based recommendation algorithms, and recommendation algorithms based on PLSA and content weighting mixture, where, the number of z in PLSA algorithm is 10, the value of β in mixed recommendation is 0.6, the size of N in TopN recommendation is N=5,10,20, and 30. Experiments were carried out on the accuracy and recall of the three recommendation algorithms, the number of z in PLSA algorithm is 10, the value of β is 0.6, and the size of N in TopN recommendation is N=3,5,7,9. The recommendation effect of PLSA based on the Internet of Things is better than that of content-based recommendation algorithm, and the recommendation effect of the combination of the two algorithms is better than either of them.
Time-dependent shock acceleration of energetic electrons including synchrotron losses

The present investigation of the time-dependent particle acceleration problem in strong shocks, including synchrotron radiation losses, solves the transport equation analytically by means of Laplace transforms. The particle distribution thus obtained is then transformed numerically into real space for the cases of continuous and impulsive injections of particles at the shock. While in the continuous case the steady-state spectrum undergoes evolution, impulsive injection is noted to yield such unpredicted features as a pile-up of high-energy particles or a steep power-law with time-dependent spectral index. The time-dependent calculations reveal varying spectral shapes and more complex features for the higher energies which may be useful in the interpretation of outburst spectra. 33 refs.
An efficient cw laser at 560 nm by intracavity sum-frequency mixing in a self-Raman Nd:LuVO4 laser

We report for the first time efficient continuous wave (cw) laser emission at 560 nm by sum-frequency mixing of the fundamental and first-Stokes fields generated within a Nd:LuVO4 self-Raman laser. Intracavity sum-frequency mixing with LiB3O5 nonlinear crystal yielded 4.2 W of visible yellow emission, corresponding to an optical conversion efficiency of 22.9% with respect to the incident pump power; the output power stability over 4 h was better than 3.5%. We discuss the balance that must be maintained between the two nonlinear processes of Raman generation and sum-frequency mixing in order to obtain maximum emission at 560 nm.
Analysis of the tolerance of compressive noise radar systems to multiplicative perturbations

Compressive noise radar imaging involves the inversion of a linear system using l1-based sparsity constraints. This linear system is characterized by the circulant system matrix generated by the transmit waveform. The imaging problem is solved using convex optimization. The characterization of imaging performance in the presence of additive noise and other random perturbations remains an important open problem. Computational studies designed to be generalizable suggest that uncertainties related to multiplicative noise adversely affect detection performance. Multiplicative noise occurs when the recorded transmit waveform is an inaccurate version of the actual transmitted signal. The actual transmit signal leaving the antenna is treated as the signal. If the recorded version is considered as a noisy version of this signal, then, generalizable numerical experiments show that the signal to noise ratio of the recorded signal should be greater than about 35 dB for accurate signal recovery.
On the electronic structure of liquid transitional metals

Abstract The density of states of a narrow non-degenerate (s) band is studied in the tight binding approximation. In the first part, we relate its successive moments to correlation functions of increasing order, averaging over atomic pairs overlap integrals. This method could be, in principle, extended to the d band of liquid transitional metals. In a second part we discuss the values of the first moments and compare them to those of the solid. Then, using some approximations for the n atom correlation functions, we obtain different approximate forms of the density of states.
Sterilization using a microwave-induced argon plasma system at atmospheric pressure

The use of microwave plasma for sterilization is relatively new. The advantages of this method are the relatively low temperature, time-savings and its nontoxic nature, in contrast to traditional methods such as heat and gas treatment, and radiation. This study investigated the sterilization effects of microwave-induced argon plasma at atmospheric pressure on materials contaminated with various microorganisms, such as bacteria and fungi. A low-cost and reliable 2.45 GHz, waveguide-based applicator was designed to generate microwave plasma at atmospheric pressure. This system consisted of a 1 kW magnetron power supply, a WR-284 copper waveguide, an applicator including a tuning section, and a nozzle section. Six bacterial and fungal strains were used for the sterilization test. The results showed that regardless of the strain, all the bacteria used in this study were fully sterilized within 20 seconds and all the fungi were sterilized within 1 second. These results show that this sterilization method is ea.
New evidence from heavy minerals and detrital zircons in Quaternary fluvial sediments for the evolution of the upper Yangtze River, South China

Abstract In the Three Gorges and adjacent areas, there are three planation surfaces and five terraces along the Yangtze River that record the evolution history of the river system. Here, we used diagnostic heavy minerals, U-Pb geochronology, and trace elements of detrital zircons from one planation surface, two terraces, and a modern point bar to reconstruct the evolution history of the upper Yangtze River, specifically the Chuan River in the Sichuan Basin. The sediments in the lowest planation surface had different felsic source rocks derived from east of the Three Gorges, which indicated that before the disintegration of the lowest planation surface (0.75 Ma), there were two paleorivers: the westward-flowing paleo-Chuan River and eastward-flowing paleo-Yangtze River separated by the Huangling Dome. At 0.75–0.73 Ma, the dominant detrital zircons from the Sichuan Basin in the sediments of terrace T5 (the highest terrace) confirmed that the paleo-Yangtze River cut through the Three Gorges and captured the paleo-Chuan River, and the Daliang Mountains became the new drainage divide. Finally, the appearance of materials from the upper Jinsha River in terrace T2 indicated that the paleo-Yangtze River progressively captured the paleo-Jinsha River, and the modern upper Yangtze River formed before 0.05 Ma. These river capture events of the upper Yangtze River confirmed the Quaternary uplift of the SE Tibetan Plateau.
Integrable lattices and their sublattices. II. From the B-quadrilateral lattice to the self-adjoint schemes on the triangular and the honeycomb lattices

An integrable self-adjoint 7-point scheme on the triangular lattice and an integrable self-adjoint scheme on the honeycomb lattice are studied using the sublattice approach. The star-triangle relation between these systems is introduced, and the Darboux transformations for both linear problems from the Moutard transformation of the B-(Moutard) quadrilateral lattice are obtained. A geometric interpretation of the Laplace transformations of the self-adjoint 7-point scheme is given and the corresponding novel integrable discrete three-dimensional system is constructed.
Spectral-domain dyadic Green's functions for surface current excitation in planar stratified bianisotropic media

A rigorous formulation of the spectral-domain dyadic Green's functions for surface current excitation in planar stratified bianisotropic media is presented. The media may consist of any number of layers bounded by optional perfect electric/magnetic conducting walls. The surface current can be impressed along any of the layer interfaces. Both electric and magnetic dyadic Green's functions are derived simultaneously based on the principle of scattering superposition. For the primary dyadic Green's functions associated with a two-layered semiinfinite medium, their source consequents are determined directly from the elementary boundary conditions across the interface. An alternative approach to obtain these source consequents is also devised by considering their relationship with those of unbounded dyadic Green's functions. For the scattered dyadic Green's functions, their scattering coefficient matrices are determined without cumbersome operations using the concepts of effective reflection and transmission of outward-bounded and inward-bounded waves. This approach provides good physical insights to the scattering mechanism and leads to compact and convenient representations. To illustrate the application of general dyadic Green's function expressions, the configuration of a grounded bianisotropic slab embedded in an isotropic half-space is considered explicitly.
Vitamin D Supplementation Impacts Systemic Biomarkers of Collagen Degradation and Copper Metabolism in Patients With Keratoconus

Purpose To evaluate the impact of vitamin D (Vit D) supplementation on systemic biomarkers of collagen degradation, inflammation, oxidative stress, and copper metabolism in adolescent patients with keratoconus (KC). Methods This was a prospective observational pilot study. Twenty patients (age range, 16–19 years) presenting KC and Vit D insufficiency (<30 ng/mL) were included. Vit D supplementation was prescribed by their general practitioner as per the standard of care. Patients were followed up for 12 months. At each visit, best spectacle-corrected visual acuity (BSCVA), maximal keratometry (Kmax), and thinnest corneal thickness (TCT) were evaluated. The primary outcome of the study was the proportion of patients with Kmax progression of less than 1 D throughout the 12-month follow-up time. Blood samples were collected at different time points to evaluate Vit D levels and systemic markers of collagen degradation, inflammation, oxidative stress, and copper metabolism by ELISA or RT-PCR. Results Lower Vit D levels in the plasma were correlated with higher levels of systemic biomarkers of collagen degradation. Vit D supplementation increased the cell availability of copper. Moreover, stabilization of KC progression was found in 60% of patients (72% of eyes) after 12 months with Vit D supplementation. BSCVA, Kmax, and TCT rates remained stable during the observation period. Conclusions Our findings support that Vit D administration could affect ocular and systemic biomarkers in KC and illuminate a possible mechanism that can be used to develop new treatment alternatives. Translational Relevance Although KC therapy currently relies exclusively on surgical procedures, Vit D supplementation may offer a non-invasive and inexpensive alternative with minimal associated side effects.
Effect of local flaws in polymeric permeation reducing barriers

Thin polymeric coating layers are often used to improve the barrier properties of packaging structures and container walls. We study how local flaws in the coating layers affect the overall permeation properties of such systems. We find that many small ‘‘holes’’ in a barrier layer are much more effective in compromising the system barrier properties than a few large ‘‘holes’’ with the same total area.
Convolutional Neural Networks for C. Elegans Muscle Age Classification Using Only Self-learned Features

 Nematodes Caenorhabditis elegans ( C. elegans ) have been used as model organisms in a wide variety of biological studies, especially those intended to obtain a better understand-ing of aging and age-associated diseases. This paper focuses on automating the analysis of C. elegans imagery to classify the muscle age of nematodes based on the known and well established IICBU dataset. Unlike many modern classification methods, the proposed approach relies on deep learning techniques, specifically on convolutional neural networks (CNNs), to solve the problem and achieve high classification accuracy by focusing on non-handcrafted self-learned features. Various networks known from the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) have been investigated and adapted for the purposes of the C. elegans muscle aging dataset by applying transfer learning and data augmentation techniques. The proposed approach of unfreezing different numbers of convolutional layers at the feature extraction stage and introducing different structures of newly trained fully connected layers at the classification stage, enable to better fine-tune the selected networks. The ad-justed CNNs, as featured in this paper, have been compared with other state-of-art methods. In anti-aging drug research, the proposed CNNs would serve as a very fast and effective age determination method, thus leading to reductions in time and costs of laboratory research.
The double scroll bifurcations

This paper describes the dynamics of the simplest physical system known to date whose chaotic dynamics and rich bifurcation phenomena have been observed not only in the laboratory, but also reconfirmed by extensive computer simulation of its associated mathematical model: a 3rd-order autonomous ordinary differential equation. The physical system is a 5-element electrical circuit whose only non-linearity is a non-linear resistor characterized by a 3-segment piecewise-linear voltage-current characteristic. Despite the simplicity of the circuit, however, it is imbued with an extremely rich variety of bifurcation phenomena. By changing the capacitance values, many phenomena, including Hopf bifurcation, period-doubling cascades, Rossler's spiral-type and screw-type attractors,4 periodic windows, ‘double-scroll’ attractor,1 boundary crisis,5 Shilnikov-type phenomenon,6 etc. have been observed experimentally and confirmed by computer simulation. Other attractors and periodic windows have also been observed by varying the conductance values. In addition, Rossler's spiral-type and screw-type attractors have been observed from the same circuit, where the non-linear resistor has only one break point, i.e. it is described by a 2-segment piecewise-linear v-i characteristic. This means that extremely complicated non-periodic (chaotic) waveforms can arise in the simplest third-order uncoupled electrical circuit in which all elements except one (a resistor) are linear and passive, and in which the constitutive relation of the non-linear resistor is made of the simplest conceivable non-linearity, namely 2 straight-line segments.
Design, Synthesis and Antiproliferative Evaluation of Bis-Indole Derivatives with a Phenyl Linker: Focus on Autophagy

This work deals with the study of the synthesis of new bis-indole analogues with a phenyl linker derived from indole phytoalexins. Synthesis of target bis-indole thiourea linked by a phenyl linker was achieved by the reaction of [1-(tert-butoxycarbonyl)indol-3-yl]methyl isothiocyanate with p-phenylenediamine. By replacing the sulfur of the thiocarbonyl group in bis-indole thiourea with oxygen using mesityl nitrile oxide, a bis-indole homodimer with a urea group was obtained. A cyclization protocol utilizing bis-indole thiourea and methyl bromoacetate was applied to synthesize a bis-indole homodimer with a thiazolidin-4-one moiety. Bis-indole homodimers derived from 1-methoxyspirobrassinol methyl ether were prepared by bromospirocyclization methodology. Among the synthesized analogues, compound 49 was selected for further study. To evaluate the mode of the mechanism of action, we used flow cytometry, Western blot, and spectroscopic analyses. Compound 49 significantly inhibited the proliferation of lung cancer cell line A549 with minimal effects on the non-cancer cells. We also demonstrated that compound 49 induced autophagy through the upregulation of Beclin-1, LC3A/B, Atg7 and AMPK and ULK1. Furthermore, chloroquine (CQ; an autophagy inhibitor) in combination with compound 49 decreased cell proliferation and induced G1 cell cycle arrest and apoptosis. Compound 49 also caused GSH depletion and significantly potentiated the antiproliferative effect of cis-platin.
Wireless Sensing Technology Combined with Facial Expression to Realize Multimodal Emotion Recognition

Emotions significantly impact human physical and mental health, and, therefore, emotion recognition has been a popular research area in neuroscience, psychology, and medicine. In this paper, we preprocess the raw signals acquired by millimeter-wave radar to obtain high-quality heartbeat and respiration signals. Then, we propose a deep learning model incorporating a convolutional neural network and gated recurrent unit neural network in combination with human face expression images. The model achieves a recognition accuracy of 84.5% in person-dependent experiments and 74.25% in person-independent experiments. The experiments show that it outperforms a single deep learning model compared to traditional machine learning algorithms.
Mental Health Counselors’ Experiences Working with Fostered Youth

There are roughly 440,000 foster youth living in the United States. Coupled with experiences of child welfare inequalities, foster youth are at an increased risk to develop mental and behavioral health issues. Mental health counselors are trained to advocate for their client’s mental and emotional well-being. However, minimal research demonstrates a counselor’s ability to work with foster youth. The current study adds to the existing body of research surrounding clinical work with children living in foster care. Using a transcendental phenomenology study to explore the experiences of mental health counselors working with foster youth, participants (N = 11) were interviewed about their knowledge, skills, and feelings of preparedness to work with children living within the foster care system. Implications for counseling practice, supervision, and counselor education are provided.
Introducing expressives through equations. Implications for the theory of nominal predication in Romance

This paper offers a new theory of binominal constructions in Spanish(e.g., el idiota de Andrés ‘That idiot Andrés’, una mierda de departamento ‘a shitof an apartment’). I use what I call Potts’ Criterion as a way to detect whether or nota given term has predicative force at the truth-conditional level. The observation isthat epithets do not have such a predicative import in binominal constructions of therelevant type, a clear indication that these binominals do not involve predicationalunderlying structures of the type proposed in Den Dikken (2006) and most, if notall, mainstream approaches to binominals in Romance. I then propose that thesyntactic and semantic connection between epithets/expressives and their relatedDPs/NPs is a particular type of equation between those DPs/NPs and an underlyingindexical term, denoting in individuals or in properties depending on the relevantconstruction.
Impact of water drops on small targets

The collision of water drops against small targets was studied experimentally by means of a high-speed photography technique. The drop impact velocity was about 3.5 m/s. Drop diameters were in the range of 2.8–4.0 mm. The target was a stainless steel disk of 3.9 mm diameter. The drop spread beyond the target like a central cap surrounded by a thin, slightly conical lamella bounded by a thicker rim. By mounting a small obstacle near the target, surface-tension driven Mach waves in the flowing lamella were generated, which are formally equivalent to the familiar compressibility driven Mach waves in gas dynamics. From the measurement of the Mach angle, the values of some flow parameters could be obtained as functions of time, which provided insight into the flow structure. The liquid flowed from the central cap to the liquid rim through the thin lamella at constant momentum flux. At a certain stage of the process, most of the liquid accumulated in the rim and the internal part of the lamella became metastabl.
Genome-Wide Identification, Characterization, and Expression Analysis of GRAS Gene Family in Ginger (Zingiber officinale Roscoe)

GRAS family proteins are one of the most abundant transcription factors in plants; they play crucial roles in plant development, metabolism, and biotic- and abiotic-stress responses. The GRAS family has been identified and functionally characterized in some plant species. However, this family in ginger (Zingiber officinale Roscoe), a medicinal crop and non-prescription drug, remains unknown to date. In the present study, 66 GRAS genes were identified by searching the complete genome sequence of ginger. The GRAS family is divided into nine subfamilies based on the phylogenetic analyses. The GRAS genes are distributed unevenly across 11 chromosomes. By analyzing the gene structure and motif distribution of GRAS members in ginger, we found that the GRAS genes have more than one cis-acting element. Chromosomal location and duplication analysis indicated that whole-genome duplication, tandem duplication, and segmental duplication may be responsible for the expansion of the GRAS family in ginger. The expression levels of GRAS family genes are different in ginger roots and stems, indicating that these genes may have an impact on ginger development. In addition, the GRAS genes in ginger showed extensive expression patterns under different abiotic stresses, suggesting that they may play important roles in the stress response. Our study provides a comprehensive analysis of GRAS members in ginger for the first time, which will help to better explore the function of GRAS genes in the regulation of tissue development and response to stress in ginger.
Object tracking by combining detection, motion estimation, and verification

Object detection and tracking play an increasing role in modern surveillance systems. Vision research is still confronted with many challenges when it comes to robust tracking in realistic imaging scenarios. We describe a tracking framework which is aimed at the detection and tracking of objects in real-world situations (e.g. from surveillance cameras) and in real-time. Although the current system is used for pedestrian tracking only, it can easily be adapted to other detector types and object classes. The proposed tracker combines i) a simple background model to speed up all following computations, ii)1 a fast object detector realized with a cascaded HOG detector, iii) motion estimation with a KLT Tracker iv) object verification based on texture/color analysis by means of DCT coefficients and , v) dynamic trajectory and object management. The tracker has been successfully applied in indoor and outdoor scenarios it a public transportation hub in the City of Graz, Austria.