Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Abcd-Matrix Method For The Simulation of Laser-Ultrasonic Probing Pulse Propagation In A Layered Medium of The Optical-Acoustic Transducer

As a first step methods for modeling the propagation of acoustic waves in layered media was analyzed and the need to develop a new, faster method is substantiated. As a consequence, presented a method for modeling the propagation of elastic waves based on signal transformation using ABCD matrices, for the implementation of which a computer program in the Python language has been developed. For the verification of the method was analyzed the correlation between the simulated signal and the signal obtained experimentally from a medium with predetermined parameters. Further on the basis of the data obtained, the applicability of this method for modeling the propagation of acoustic signals in a plane-layered medium has been proved. As a next step modern methods of ultrasound generation and their influence on the characteristics of the probing signal was reviewed. Confirmed that laser-ultrasound techniques allow the best control over the characteristics of the probe signal. Therefore, the influence of the duration of the laser pulse, the properties of light absorption and the acoustic characteristics of the generator medium on the probing signal amplitude and bandwidth of the spectrum was estimated. To reduce the influence of the considered characteristics on the diagnostic process using the ABCD-matrix method the optimal characteristics of the optical-acoustic transducer for diagnostics at low frequencies have been determined. Finally, the main advantage of the proposed modeling method is the high speed of calculating the shape and spectrum of the signal at any point in the medium at a given time.
Analysis of the Relationship of the Quality of Health Services Review Interest and Bed Occupancy Rate

The purpose of this study was to determine the relationship between the quality of health services and the interest in repeat visits and to analyze the relationship with the value of the Bed Occupancy Rate (BOR) in the VIP room of the Datu Beru Takengon Regional General Hospital in 2020. The research design used an analytic survey with a cross sectional design. The population of patients treated in the VIP Room of the Datu Beru Takengon Hospital was 105 people. The sampling technique used accidental sampling. The number of samples to be studied was 77 people. Data analysis was performed by univariate, bivariate and multivariate analysis. Base on the results of the research on the reliability variable obtained p-value = 0.001, responsiveness = 0.002, assurance = 0.017, empathy = 0.003, physical evidence = 0.002 <0.05, meaning that there is an influence between reliability, responsiveness, assurance, empathy, physical evidence of interest. revisit and it is related to the Bed Occupancy Rate (BOR). The results of multivariate analysis showed that the most influential variable in this study was the variable of empathy with an Exp (B) value of 12.048. The conclusion is that there is a relationship, reliability, responsiveness, assurance, empathy for re-visit interest and the value of the Bed Occupancy Rate BOR, the results of the multivariate analysis show that the most dominant factor is the variable of empathy.
Measurement and ab initio calculation of the structural parameters and physical properties of 3d transition intermetallics TiMP (M  =  Cr, Mn, Fe, Co, or Ni)

In this study, 3d transition metal phosphides TiMP, where M = Cr, Mn, Fe, Co, or Ni, were synthesized via solid-state reactions. At 293 K, both TiCrP and TiMnP exhibited hexagonal symmetry with P6-2m space groups, while TiFeP, TiCoP, and TiNiP possessed orthorhombic symmetry with Pnma space groups. The electrical resistivity ρ of each compound was on the order of 10−5 Ω m and was relatively temperature independent above 2 K, except in the case of TiFeP, for which ρ linearly decreased with decreasing temperature. The absolute value of the Seebeck coefficient was small (<30 µV K−1) between 2 K and 300 K and exhibited linear temperature dependence except in the case of TiNiP. The magnetic susceptibilities χ for TiCrP, TiCoP, and TiNiP, which ranged from 1 × 10−4 emu mol−1 to 3 × 10−4 emu mol−1, were temperature independent above 2 K, indicating that these species exhibit Pauli paramagnetism. The temperature-independent χ of TiFeP was relatively high, ~2.5 × 10−3 emu mol−1. The Stoner enhancement factor estimated from the Pauli paramagnetic susceptibility that was determined based on the calculated density of states and the Wilson ratio were 21.2 and 14.1, respectively, for TiFeP, suggesting that the magnetism of TiFeP may be exchange-enhanced Pauli paramagnetism. In contrast, for TiMnP, χ obeyed a Curie–Weiss law, and an effective magnetic moment per TiMnP formula unit of 1.07 μB and a Weiss temperature of −8.0 K were obtained. The ab initio calculations for TiMnP yielded a predicted magnetic moment of 1.0 μB per TiMnP formula unit, which is consistent with the experimental result. On the other hand, the measured electronic specific heat coefficient of TiMnP (48.1 mJ mol−1 · K−2) was about seven times higher than that estimated based on the calculated density of states. These results for TiMnP imply that spin fluctuations may determine its properties.
An unmanned aerial vehicles navigation system on the basis of pattern recognition applications—Review of implementation options and prospects for development

The popularity of unmanned aerial vehicles (UAVs) kept growing over the past few decades. UAVs are widely used in various fields for monitoring, mapping, aerial photography, rescue operations, and so forth. However, the UAV navigation may be difficult in areas where global positioning systems is not available. This article presents an analytical review of the promising methods of creating a navigation system based on a pattern recognition algorithm. Linear algebra and mathematical morphology to describe the operation of pattern recognition applications in UAV's navigation systems, classification of images through profound research of intelligent navigation systems, analysis and digital image processing to identify options for the implementation of artificial intelligent systems of visual navigation were used to identify existing pattern recognition applications in the process of constructive systematization. It was shown that the UAV navigation requires objects in the image to be recognized and the distance to a possible obstacle to be estimated using deep learning method for image segmentation and depth map estimation. An obligatory initial point in the image recognition algorithm is the image preprocessing procedures based on machine vision techniques. The results of this study may be useful in developing efficient UAV applications for military and civil purposes.
Quantum-chemical modeling of deformation and bond defects in vitreous As2S3

The structure, stability, and electronic structure of different fragments of the continuous random network in v-AS 2 S 3 were studied by quantum-chemical methods with the use of ab initio correlated calculations. The existence of metastable hypervalent configurations, neutral and diamagnetic in the ground state and lying lower on the energy scale than a dangling bond, was predicted. Model IR spectra of different structural entities of the CRN were simulated, and the effect of defects on the band structure of v-As 2 S 3 was qualitatively assessed.
Prospect and Status of Polyanionic Lithium Cobalt Silicates as High Energy‐Density and Safe Cathode Materials for Lithium‐Ion Batteries

Lithium cobalt silicate Li2CoSiO4 (LCSO) is a promising but challenging high energy‐density cathode for lithium‐ion battery. Herein, recent studies of synthesis–structure–performance of LCSO are reported, in which carbon coating, element doping, and nanostructure designs are incorporated in a two‐step synthesis starting with hydrothermal reaction. The initial performance is significantly improved with respect to previous reports in literature with the charge and discharge capacities now reaching 330 and 220 mAh g−1, respectively. The discharge voltage platform is compatible with the 4 V window of the nonaqueous organic electrolytes and presents no structural‐change‐induced voltage drops. The striking finding from the study of LCSO is the oxygen redox activity amid the second lithium deintercalation process, in which peroxo formation dominates the charge compensation to the high‐voltage lithium capacity. First‐principles modeling reveals an intrinsic and general relation between oxygen redox and cationic disorder in bulk compounds. Thus, LCSO is a new prototype of polyanionic materials with oxygen redox, which is the foundation of high‐capacity Li‐rich cathodes. This review is also aimed to narrate the progresses of LCSO within a broad domain of Li3PO4‐based polyanionic structures that support the development of solid‐state electrolytes for all solid‐state batteries.
Migration of U, Th and REE in an Intragranitic Hydrothermal System: Implications for the Mobility of Actinides Around a Radwaste Repository

The mobilization of U, Th and REE upon hydrothermal alteration in the Auriat granite is used as a natural analogue for inferring the migration behaviours of transuranic elements around a radwaste repository. We show that the main retardation phenomena on this hydrothermal system are precipitation of specific compounds, substitution in secondary minerals and sorption. We conclude that direct mineralization of transuranic elements which is not currently taken into account in assessment models, could be a key process for their retention within the geological barrier.
Multiple genes confer anthracnose resistance in French bean accessions of Garhwal Himalayas

The Indian Himalayan region is very rich in the genetic variability of French bean and therefore considered as the secondary centre of origin of French bean. Though, a good diversity of French bean is present in Uttarakhand hills of Western Himalaya but it is almost unexplored yet. Unfortunately, French bean is attacked by some of the phytopathogens those cause heavy crop losses. Colletotrichum lindemuthianu (Sacc. & Magnus) Scrib is one of the sever pathogens that causes anthracnose disease in French bean worldwide. Identification or development of a resistant variety/cultivar is an environmentally safe approach. Diversity analysis of anthracnose resistant loci in common bean is important to identify new sources of resistance gene(s). So the study was designed with the objectives to collect and screen the local accessions of French bean from Garhwal hills for anthracnose resistance. A total of 100 accessions were collected from 6 different districts of Garhwal region of Uttarakhand and all were screened for anthracnose resistance. For this, 13 SCAR (Sequence cleaved amplified region) primers specific to anthracnose resistance were used in this study. Results revealed a high level of genetic diversity within the population for anthracnose resistance loci. Gene diversity ranged from 0.354 to 0.499 with a mean of 0.457. Pair wise genetic distance ranged from 0 to 2.236. The accessions were also screened for anthracnose resistance under field and polyhouse conditions. There was a moderate correlation (R = 0.56) between field trial and trial under controlled condition. Thirteen of these accessions possessing two genes (Co-10 and Co-42) showed complete resistance for anthracnose disease under field and polyhouse conditions. The anthracnose resistant accessions may further be used in future breeding programmes to develop new and more resistant varieties of French bean against anthracnose disease.
Hybrid classification with meta‐heuristic‐enabled optimal feature selection for thyroid detection

Thyroid is a widespread disease, affecting most victims. The diagnosis of thyroid remains a complex process, as its detection in patients is highly intricate. Hence, the doctors are needed to be aware of the risk factors and symptoms of the disease. This paper aims to propose a novel thyroid diagnosis scheme, involving three major phases: (a) feature extraction, (b) optimal feature selection, and (c) classification. Initially, the thyroid image and the related data serve as input for diagnosing the disease. In the first phase, the features like, gray level co‐occurrence matrix (GLCM), gray level run length matrix (GLRM), local binary pattern (LBP), local vector pattern (LVP), and local tetra patterns (LTrP) are extracted from the input image. Additionally, the features from data are extracted using Principal Component Analysis (PCA) for resolving the issue of “curse of dimensionality. ” The optimal features are then selected using a hybrid optimization approach. The optimally selected features of the image and the data are then subjected to the classification process via convolutional neural network (CNN) and neural network (NN), respectively. Both the classified outputs undergo “AND” binary operation to yield the final classified output. To yield effective classification, the NN model is trained by tuning its weights using the proposed algorithm. Further, this paper introduces a new hybrid algorithm, termed firefly updated lion optimization (SLnO) algorithm (FU‐SLnO), for attaining optimal outcomes. Finally, the efficiency of the proposed work is compared over few other conventional approaches and its superiority is proven.
Antimicrobial Peptide Brevivin-1RL1 from Frog Skin Secretion Induces Apoptosis and Necrosis of Tumor Cells

Cancer has always been one of the most common malignant diseases in the world. Therefore, there is an urgent need to find potent agents with selective antitumor activity against cancer cells. It has been reported that antimicrobial peptides (AMPs) can selectively target tumor cells. In this study, we focused on the anti-tumor activity and mechanism of Brevivin-1RL1, a cationic α-helical AMP isolated from frog Rana limnocharis skin secretions. We found that Brevivin-1RL1 preferentially inhibits tumor cells rather than non-tumor cells with slight hemolytic activity. Cell viability assay demonstrated the intermolecular disulfide bridge contributes to the inhibitory activity of the peptide as the antitumor activity was abolished when the disulfide bridge reduced. Further mechanism studies revealed that both necrosis and apoptosis are involved in Brevivin-1RL1 mediated tumor cells death. Moreover, Brevivin-1RL1 induced extrinsic and mitochondria intrinsic apoptosis is caspases dependent, as the pan-caspase inhibitor z-VAD-FMK rescued Brevinin-1RL1 induced tumor cell proliferative inhibition. Immunohistology staining showed Brevivin-1RL1 mainly aggregated on the surface of the tumor cells. These results together suggested that Brevivin-1RL1 preferentially converges on the cancer cells to trigger necrosis and caspase-dependent apoptosis and Brevivin-1RL1 could be considered as a pharmacological candidate for further development as anti-cancer agent.
Temperature control circuit design of high-precision laser diode based on type III compensation network

Since the performance of laser diodes is sensitive to ambient temperature, thermoelectric cooler temperature control circuits based on standard PID temperature compensation networks are usually designed to achieve diode constant temperature control. The thermoelectric cooler time constant and thermistor thermal time constant introduced in the temperature control system will reduce the stability margin of the system. In view of this, this paper designed a high-precision laser diode temperature control circuit based on the type III compensation network, and established the transfer function model, optimized the compensation network parameter tuning method, made the phase margin of the temperature control system reach π/8, and the long-term temperature control accuracy was better than 3 mK in the ambient temperature range of 5 to 40 °C.
Influence of clinching steps and sheet thickness on the mechanical properties of the clinching joint

In order to reduce the protrusion height and increase the strength of the clinched joint, a two-step clinching method was investigated in the present study. The whole process contains two steps. The first step is used to produce one-step clinched joints, and the second step is used to press the one-step clinched joints to reduce the protrusion height and increase the joining strength. The influences of clinching steps and sheet thicknesses on the mechanical properties of the clinched joint were investigated. The main failure mode of all the clinched joints in the strength tests is the neck fracture mode. The neck thickness can be enlarged by the two-step clinching method, and the protrusion height can be reduced. TCJ2.5-2.0 joint has the highest energy absorption and strength, and OCJ2.0-2.5 joint has the lowest energy absorption and strength. The two-step clinching process can contribute to increasing energy absorption and joining strength. For getting higher strength, the thick sheet should be taken as the top sheet. With higher strength and lower protrusion, the use of two-step clinched joint will be convenient in the mechanical engineering areas.
Lattice parameter of Am, Np bearing MOX fuel: an empirical potential study

An empirical potential study was performed for the americium (Am), neptunium (Np) containing uranium (U) and Plutonium (Pu) mixed oxides (MOX). The configurational space of a complex U1-y-y′-y″PuyAmy′Npy″O2 system was predicted by the rigid lattice Monte Carlo method. Based on the computing time and efficiency performance, the method was found to rapidly converge towards the optimal configuration. From that configuration, the relaxed lattice parameter of Am, Np bearing MOX fuel was investigated and compared with available literature data. As a result, a linear behaviour of the lattice parameter as a function of Am, Np content was observed.
Comparison of snow pressure measurements and theoretical predictions

Measurements of snow creep pressures from the centre section of a 3.4 m high and 15 m long avalanche-defence supporting structure located on a mountain in western Norway are presented. The site has a deep snow cover and an average slope angle of 25°. The measurement configuration corresponds to plane-strain conditions and the data, along with measured snowpack parameters, allow comparison with simple theoretical predictions. The analysis shows that the average pressure on the structure may be calculated fairly accurately using linear, viscous modelling for the snow deformation. The maximum pressures proved to be higher than that provided by a linear model and this is considered characteristic of nonlinear material. The implications of these results for estimates of design loads are discussed. Keywords: snow pressure, creep, measurements, viscous, plane-strain, finite element.
Risk perception and visit intention on Olympic destination: Symmetric and asymmetric approaches

Tourists’ risk perceptions have been studied extensively in tourism literature and are considered an important factor influencing destination choice. However, despite the extensive research, many earlier studies using symmetric approaches have not adequately succeeded in addressing the contrarian case – high visit intention despite having negative perceptions. Therefore, this study utilised both symmetric and asymmetric approaches to address the effects of tourists’ perceptions (i.e. risk perception, image, and attitude) and demographic factors on their visit intention. While the symmetric approach showed that Zika-related perceptions did not have an impact on destination visits, in the asymmetric approach, these same perceptions significantly influenced both high and low visit intentions. This study contributes to the existing knowledge of risk perceptions by highlighting the differences between the two methodological approaches. Destination marketers could utilise these findings to develop both mass marketing and target marketing strategies.
Thermal modelling and simulation of crystalline silicon solar cells and modules

To develop efficient strategies for mitigating the elevated temperature-induced losses and improving the annual energy yield of solar cells and photovoltaic modules, thermal modelling is of utmost importance. In this contribution, we use rigorous Finite Element Method (FEM) simulations to investigate the steady-state spatial temperature distribution in commercial high-efficiency crystalline silicon PV modules, with particular focus aimed towards studying the impact of various influencing parameters. First, we investigate how heat conduction within an encapsulated solar cell operating at maximum power point is influenced by metallization and surface textures. Then, we study how the operating temperature is affected by the optical power density incident on the PV module and to what extent the natural convection, hence the cooling of the device, is influenced by changing the PV module inclination angle from 0° to 30°. Finally, the forced convection in form of wind is introduced. We demonstrate that forced convection has an even greater beneficial impact at higher wind speeds and larger PV module dimensions, since the transformation of laminar to turbulent wind flow that can occur above the surface of the module contributes to additional cooling.
Strigolactone and Ethylene Inhibitor Suppressing Dark-induced Leaf Senescence in Perennial Ryegrass Involving Transcriptional Downregulation of Chlorophyll Degradation

Accelerated or premature leaf senescence induced by dark conditions could be associated with chlorophyll degradation and regulated by hormones. To study the effects of strigolactone (SL) on dark-induced leaf senescence and to examine the interaction effects of SL and ethylene on regulating dark-induced leaf senescence, plants of perennial ryegrass (Lolium perenne) exposed to darkness for 8 days were treated with a synthetic SL analogue (GR24), aminoethoxyvinyl glycine [AVG (an ethylene biosynthesis inhibitor)], or SL and AVG by foliar spray. Chlorophyll content, photochemical efficiency, electrolyte leakage, and ethylene production were measured. Expressions of genes associated with leaf senescence, SL biosynthesis and signaling, ethylene biosynthesis and signaling, and chlorophyll biosynthesis and degradation were determined. Foliar application of GR24 promoted leaf senescence in perennial ryegrass grown in darkness, and the intensity of action increased with the GR24 concentration. SL-accelerated leaf senescence was associated with the downregulation of four chlorophyll biosynthesis-associated genes and upregulation of four chlorophyll degradation-associated genes. AVG had functions counteractive to SL, suppressing dark-induced leaf senescence by downregulating chlorophyll degradation genes and SL synthesis genes. Our results suggested that SL and ethylene interactively regulated leaf senescence, mainly by controlling chlorophyll degradation induced by darkness in perennial ryegrass.