Miracle-dz/UniFAR-FTUs huggingface dataset:
Análisis del modelo de sombreado normal-logarítmico aplicado a un enlace LoRa punto a punto

LoRa es una tecnología inalámbrica de bajo consumo de potencia y largo alcance empleada en redes de área amplia. Además de LoRa, en el mercado existen otras tecnologías inalámbricas para transmisión de datos con diversas cualidades. Sin embargo, la tecnología LoRa se puede explotar en diferentes aplicaciones tales como redes de sensores inalámbricas (WSN, por sus siglas en inglés), rastreo y localización. Esto debido a su gran ventaja de soportar un gran número de dispositivos de comunicación. La tecnología LoRa está basada en la técnica de modulación Chirp Spread Spectrum (CSS, por sus siglas en inglés), esto le proporciona robustez ante el ruido y otros fenómenos de degradación de canal. En el presente trabajo se presenta el desempeño de la tecnología LoRa en ambientes interiores y semi-interiores con una conexión punto a punto para estimar la distancia basado en el indicador de la intensidad de la señal recibida (RSSI, por sus siglas en inglés). Las mediciones de RSSI realizadas, la estimación de las funciones logarítmicas para calcular las distancias y los errores, son presentados en este documento. Finalmente, se puede concluir que los resultados obtenidos son satisfactorios, con un margen de error aceptable para ambientes interiores y semi-interiores.
Zonal Asymmetry of the Annular Mode and Its Downstream Subtropical Jet: An Idealized Model Study

AbstractThis study investigates linkages between the zonal asymmetry of the annular mode (AM) zonal pattern and the subtropical jet (STJ) over its downstream regions of the storm track by using an idealized model. Observational analyses show that the AM zonal patterns are more zonally asymmetric during days when the STJ downstream of the storm track is unusually strong, and vice versa. In the idealized model, the STJ downstream of the storm track is varied by introducing an additional zonally localized tropical heating. The model’s AM variability exhibits a nearly zonally uniform structure when there is no or only weak tropical heating. However, the signatures of the AM are locally strengthened in the heating sector; thus, the AM zonal pattern is zonally asymmetric when the tropical heating is large enough to create a strong STJ. The model results also show that the percentage of the variance explained by the AM, the persistence of the AM index, and the intensity of eddy feedback are also increased when t.
A systematic review of trends and gaps in the production of scientific knowledge on the sociopolitical impacts of emojis in computer-mediated communication

Abstract This systematic literature review analyses trends in original research on emoji use in computer-mediated communications (CMC) published between 2011 to 2021. In total, 823 articles were identified that met the search criteria. The mixed-method approach included qualitative coding of articles and frequency analysis by year, impact quartile, research topic and multidisciplinarity, as well as a cluster analysis to examine trends in sociopolitical research. The results show that Computer Science, Communications and Social Sciences disciplines accounted for largest proportion of original research on emojis and CMC in the time period analysed and that the degree of scientific impact increased significantly across the time series. In recent years, sociopolitical research has had higher than average growth and can be clustered into various groups based on two broad objects of study: “culture-identity” and “social exclusion”. The study also identified significant knowledge gaps, particularly in relation to emoji standardization and its sociopolitical implications. Overall, multidisciplinary approaches are epistemologically constrained, Spanish-language production is low, and there is an almost complete absence of context appropriate methodologies. The study concludes that there is a need to for more sociopolitical research on emoji use in CMC and multidisciplinary approaches, a shift away from the hegemony of Anglocentrism, and greater questioning of the structural influences of standardization process on questions of cultural, identity and social exclusion.
Amelioration of heat stress during reproductive stage in rice by melatonin

Melatonin is a low molecular weight hormone found in mammals and a natural bio-stimulating molecule in all living organisms from prokaryotes to eukaryotes. In plants melatonin plays an important role as a growth regulator and a stress buffering agent but its role under heat stress in rice reproductive stage remains undetermined. In the present study we have identified melatoninâ€™s role to alleviate heat stress mediated damages to photosynthesis system and chlorophyll damage in two contrasting genotypes for heat stress tolerance. High temperature stress was given at anthesis and the treatment of melatonin was applied as foliar spray. We observed that melatonin treatment significantly increased chlorophyll content under heat stress compared to mock treated plants. Further, our studies on photosynthetic traits gave an insight to melatonin mediated improvements on photosynthesis rate across all the treatments but more significantly in the thermo-sensitive genotype. Improved photosynthesis rate and chlorophyll content might be due to direct antioxidant scavenging and improved antioxidative system. All these findings show that melatonin has a potential role to develop crop varieties with higher stress tolerance capacity.
Xerogels Morphology Details by Multifractal Analysis and Scanning Electron Microscopy Images Evaluations of 5-Fluorouracil Release from Chitosan-Based Matrix

Four medicament delivery formulations based on 5-fluorouracil in a chitosan substantial matrix were realized in situ via 3,7-dimethyl-2,6-octadienal element hydrogelation. Representative samples of the final realized compounds were investigated from an analytic, constitutional, and morphological viewpoint via Fourier transform infrared (FTIR) spectroscopy and scanning electron microscopy (SEM). The SEM images of the formulations were investigated in concordance with fractal analysis, and the fractal dimensions and lacunarity were computed. The developed mathematical multifractal model is necessarily confirmed by the experimental measurements corresponding to the 5-fluorouracil release outside the chitosan-formed matrix.
Dimensional Properties of One-Dimensional Brownian Motion

For each closed set $F \subseteq \lbrack 0, 1\rbrack, \dim X(F + t) = \min(1, 2 \dim F)$ for almost all $t > 0. (X$ is one-dimensional Brownian motion). For each closed set $F \subseteq \lbrack 0, 1 \rbrack$ of dimension greater than $1/2, m(X(F + t)) > 0$ for almost all $t > 0$. These statements are true outside a single null-set in the sample space.
Um estudo comparativo entre os sistemas OFDM e SCCP.

Este trabalho trata da comparacao entre os sistemas OFDM (orthogonal frequency division multiplexing) e SCCP (single carrier with cyclic prefix). Tais sistemas sao analisados em funcao da ordem da modulacao, da sensibilidade em relacao a taxa de codificacao de canal e do tipo de entrelacamento utilizado. A comparacao e efetuada atraves da adocao de um arcabouco que prove uma abordagem universal para o tratamento de ambos os sistemas. Sao obtidos resultados teoricos, explorando caracteristicas de convexidade de funcoes, e resultados a partir de simulacao Monte Carlo. Os sistemas sao comparados, principalmente, em termos de BER (bit-error rate). Entretanto, tambem sao realizadas comparacoes em termos de probabilidade de outage por cutoff rate e da SNR (signal to noise ratio) efetiva na saida do equalizador. Finalmente, os sistemas ainda sao avaliados quanto a sensibilidade a erros de estimacao de canal. %%%%This work deals with the comparison between the OFDM (orthogonal frequency division multiplexing) and SCCP (single carrier with cyclic prefix). These systems are analyzed as a function of the modulation order, the sensitiveness to the channel coding rate and to the interleaver configuration. The comparison is accomplished by means of a system model that leads to an universal framework to both analyzed systems. Theoretical results are obtained exploring convexity properties of functions. In addition, some results provided by Monte Carlo simulation are also presented to complement the analysis. The systems are compared mainly in terms of the BER (bit-error rate). Moreover, comparisons in terms of outage probability obtained by cutoff rate and in terms of the effective SNR (signal to noise ratio) at the equalizer output are also provided. Finally, the systems will be compared when channel estimation error are presented at the receiver.
Hybrid Feature Selection Framework for Bearing Fault Diagnosis Based on Wrapper-WPT

A framework aimed to improve the bearing-fault diagnosis accuracy using a hybrid feature-selection method based on Wrapper-WPT is proposed in this paper. In the first step, the envelope vibration signal of the roller bearing is provided to the Wrapper-WPT. There, it is initially decomposed into several sub-bands using Wavelet Packet Transform (WPT), and a set out of nineteen time and frequency domain features are individually extracted from each sub-band of the decomposed vibration signal forming a wide feature pool. In the following step, Wrapper-WPT constructs a final feature vector using the Boruta algorithm, which selects the most discriminant features from the wide feature pool based on the important metric obtained from the Random Forest classifier. Finally, Subspace k-NN is used to identify the health conditions of the bearing, thus forming a hybrid signal processing and machine learning-based model for bearing fault diagnosis. In comparison with other state-of-the-art methods, the proposed method showed higher classification performance on two different bearing-benchmark vibration datasets with variable operating conditions.
Effect of Low‐Temperature Phase Changes on the Mechanical Properties of Alloys near Composition TiNi

X‐ray diffraction and dilation studies have shown that alloys near the stoichiometric TiNi composition undergo transformation into the related phases Ti2Ni and TiNi3 at low temperatures. The main factors controlling these phase transformations are alloy composition, temperature, and mode of plastic deformation. In plastic deformation, tensile or compressive stressing produced separate and unlike decomposition phases; this finding was dramatically demonstrated by unique temperature‐sensitive dimensional changes in plastically deformed specimens. Changes of large magnitude in vibration damping have also been noted and appear related to variations in the phase equilibria of the system.
Data-Driven Analysis of Employee Churn in the Home Care Industry

Annual turnover of home care workers represents a huge loss of revenue and is a key source of inefficiency in the home health care industry. In this article, we propose a data-driven approach to monitor employee churn and to capture the evolution of employee intent to leave. Unlike most papers in the literature, we use machine learning techniques to analyze over 2 million visits in the US, Canada, and Australia between 2016 and 2019. Results show that the gap between the number of hours worked and in the contract is the most important factor to predict employee intent to leave, which means an employee should be given as many hours as requested in the contract to improve retention. Secondary results show that having diverse shift lengths and continuity in services and patients seem to be associated with less turnover.
Ultrashort Echo Time Magnetic Resonance Angiography as an Alternative Tool to Digital Subtraction Angiography in the Follow-up of Stent-Assisted Coil Embolization Outcomes

BACKGROUND: Follow-up of aneurysms treated with stent-assisted coil embolization has been performed using digital subtraction angiography (DSA) because in time-of-flight magnetic resonance angiography, metal artifacts from the stent often affect visualization. OBJECTIVE: To confirm whether ultrashort echo time (TE) MRA may be an alternative for DSA during follow-up. METHODS: Patients with unruptured aneurysms initially treated with stent-assisted coil embolization between April 2019 and March 2021 were enrolled. After 3 months of treatment, follow-up DSA and ultrashort TE MRA were performed. All images were independently reviewed by neurosurgeons to evaluate in-stent flow and rated from 1 (not visible) to 4 (excellent). Aneurysmal embolization status was assessed as complete obliteration, residual neck, or residual aneurysm. Ultrashort TE MRA findings were classified as evaluative or nonevaluative state based on the presence of metal artifacts. We investigated the types of aneurysms that were evaluative and the agreement between ultrashort TE and DSA. RESULTS: Overall, 89 aneurysms were examined, of which 74% (n = 66) were classified as evaluative on ultrashort TE. Significant differences were observed in size and stent type. Evaluative cases had an aneurysm size of <7 mm (P = .0007) and a higher rate of Neuroform Atlas (P = .0006). The rate of agreement between ultrashort TE with evaluative state and DSA was 95%. CONCLUSION: Ultrashort TE MRA could evaluate an embolization status treated with stenting, and the findings are in excellent agreement with those of DSA. Aneurysms measuring <7 mm and treated with Neuroform Atlas are evaluative on ultrashort TE, and DSA might not be necessary.
Applications of Arnowitt-Deser-Misner quantization of some metrics with at-least-two-parameter isometry groups

The physical situations of spacetimes in general relativity with cylindrical symmetry, with plane symmetry, and the spacetime in the interaction regions of two colliding plane gravitational waves are mathematically related by the existence of an isometry group with at least two parameters in each case. We extend the work of Kuchar, Berger, and Gowdy to include the Arnowitt-Deser-Misner (ADM) quantization of cylindrical spacetimes with a quantized scalar field source, plane spacetimes with a quantized scalar field source, and the interaction region of two colliding gravitational plane waves with noncompact invariant hypersurfaces. The inhomogeneous nonvacuum metrics are interesting because they provide the first example of the quantization of arbitrarily strong interacting gravitational and quantum matter fields in the usual framework of a quantum field theory. Tentative conclusions are drawn concerning the ''Landau conjecture'' of a ''gravitational renormalization'' of the usual special-relativistic quantum field-theoretic divergences, and conclusions concerning the effect of quantum gravity on the classically predicted general-relativistic singularities are also presented. Finally, the extremely simple model of plane symmetry with scalar field source is closely related to the spherically symmetric situation, and represents an analogous physical mechanism to the particle production by Hawking's ''exploding black holes. '' A program involving ADM quantizationmore » that can be extend the ''exploding black hole'' calculations to include back reaction and quantum-gravity effects is presented. « less
Aperture correction for a sphere interferometer

Considerations have been made to derive a correction for the diameter measurements of a sphere by means of a special sphere interferometer. This correction is caused by the finite diameter of the light source acting as the entrance ‘pinhole’ aperture in the light collimating system. The finite diameter has the effect that the wave which is incident on the sphere is a superposition of spherical waves which are slightly inclined with respect to each other. The resulting correction is essential for high accuracy dimensional measurements of silicon spheres to determine the Avogadro constant—a new determination of which is a contribution to a new definition of the kilogram.
Decentralized IoT Resource Monitoring and Scheduling Framework Based on Blockchain

With the continuous advancement of edge intelligence, edge servers undertake more and more intelligent computing tasks. Nowadays, there are a large number of Internet of Things (IoT) devices in the network in an idle state. For instance, the mining process for the consensus of miners in blockchain such as Bitcoin causes a waste of computing resources and energy. A natural question arises: can we couple the idle computing resources of network devices to continuously and credibly share the burden of edge intelligent computing tasks in a secure manner? The answer of this article is yes. We propose a blockchain-based IoT resource monitoring and scheduling framework that supports resource management and trusted edge computing. We analyze the security threats in all phases of distributed edge computing, and utilize the trusted computing and public verifiability features of blockchain to ensure reliability and fairness in the trusted measurement of device computing power, the decomposition of intelligent computing tasks, the matching of task and computing power, and the verification of computing result. Finally, we implement a simulation on the edge network by performing a distributed machine learning task for weather prediction, and the simulation results demonstrate the availability of our scheme.
Thermal Equilibration of Planetary Waves

Abstract Equilibration of planetary waves toward free-mode forms, steady solutions of the unforced, undamped equations of motion, is studied in a three-level quasi-geostrophic model on the hemisphere. A thermal mechanism is invoked, parameterized as a Newtonian process Q = −γ(T − T*), relaxing the atmosphere toward a radiative-convective equilibrium temperature T* on γ−1 time scales. If T* is chosen to project onto the class of finite-amplitude stationary Rossby waves, T can closely approach T* if, simultaneously, the surface winds vanish switching off the Ekman layers at the surface. The equilibrated state is characterized by vertical phase lines, zero surface winds, vanishing diabatic heating rates and a temperature field that is phase-locked with T* corresponding to ridges over the oceans and troughs over the land. The form of the equilibrated planetary wave is contrasted with the classical thermally forced response obtained when T* does not have free-mode form. Anomaly fields calculated from the model.
HPV Prevalence and Predictive Biomarkers for Oropharyngeal Squamous Cell Carcinoma in Mexican Patients

Background: Worldwide prevalence of Oropharyngeal Squamous Cell Carcinoma (OPSCC) has increased, affecting mostly young males. OPSCC associated with Human Papillomavirus (HPV) infection exhibits particular characteristics in terms of response to treatment, hence HPV has been proposed as a prognostic factor. The impact of HPV positivity and associated biomarkers on OPSCC in the Mexican population has not been addressed. Therefore, the analysis of OPSCC prognostic markers in the Mexican population is necessary. Methods: Retrolective study in Mexican OPSCC patients, where HPV prevalence, p16 and EGFR levels were assessed using INNO-LiPA and immunohistochemistry. Results: We found an HPV prevalence of 57.6% in OPSCC cases treated at a reference center in Mexico. HPV and p16 positivity, as well as EGFR, associate with better outcomes in OPSCC patients, and they also promote reduced death risk. Notably, HPV presence and p16 positivity showed a significant association with disease-free survival (DFS), with a HR of 0.15 (p = 0.006) and a HR of 0.17 (p = 0.012), respectively, indicating a possible role as predictive biomarkers in Mexican OPSCC patients. Conclusions: Our results reflect the clinical utility of p16 analysis to improve overall survival (OS) and to predict recurrence in oropharyngeal cancer. These results position p16 and HPV as predictive biomarkers for OPSCC.
Entrepreneurship and social capital: a multi-level analysis

PurposeThe purpose of this paper is to examine the relationship between an individual's social capital context and entrepreneurship using a multi-level modelling framework.Design/methodology/approachThis paper uses data from 87,007 individual level observations across 428 regions in 37 countries. The data comes from the 2010 and 2016 Life in Transition Surveys. The paper uses a principal component analysis to identify the different dimensions of an individual's social capital context. Subsequently, a multi-level model is employed examining the relationship between the components of an individual's social capital context and entrepreneurship (which is proxied by an individual's attempt to set up a business), whilst controlling for both country and regional effects.FindingsGreater levels of networking, informal connections and tolerance of others have a significant positive relationship with entrepreneurial activity. Trust of institutions and others have a negative relationship with entrepreneurial activity. Regional and country differences are also important for entrepreneurship, demonstrating the importance of the multi-level and social contextual environment for business development.Originality/valueFirstly, the authors present a broad, but comprehensive social contextual framework incorporating many measures of social capital when examining the importance of social capital for business development. Secondly, the work provides interesting results on the “bright and dark sides of trust” for entrepreneurship, answering calls for improved understandings on the positive and negative relationships between social capital and entrepreneurial activity. Thirdly, the paper extends the burgeoning but limited number of studies that examine the multi-level contextual environment of entrepreneurial activities.
Piezoelectric properties and phase transitions of 〈001〉-oriented Pb(Zn1/3Nb2/3)O3–PbTiO3 single crystals

Electric-field-induced phase transitions and piezoelectric properties of 〈001〉-oriented Pb(Zn1/3Nb2/3)O3–xPbTiO3 single crystals for x=4.5% and 8% (PZN–4.5%PT and PZN–8%PT) have been investigated as a function of temperature. It was found that the piezoelectric properties and phase transitions for both crystals are strongly dependent on temperature. The measurements of polarization and strain as a function of unipolar electric field show that the field for the rhombohedral–tetragonal phase transition decreases linearly with temperature in the range between 25 and 105 °C. Thus, raising the temperature can stabilize the tetragonal phase in 〈001〉-oriented PZN–PT crystals. Longitudinal piezoelectric constant d33 in the rhombohedral phase increases with temperature for both crystals; in PZN–4.5%PT the slope itself increases significantly at temperatures over 60 °C. In the field-induced tetragonal phase, there is little change in d33 for PZN–8%PT within the temperature range investigated, while in PZN–4.5%PT a .
Blow‐up rate estimates for a parabolic system with multiple nonlinearities

In this paper, we study the blow‐up behaviors for the solutions of parabolic systems ut=Δu+δ1e p 1v , vt=Δv+µ1u q 1 in ℝ N+ ×(0, T) with nonlinear boundary conditions \documentclass{article}\footskip=0pc\pagestyle{empty}\begin{document}$-\frac{\partial u}{\partial x_{1}}={\delta}_{2}{{e}^{{p}_{2v}}}, \quad - \frac{\partial v}{\partial x_{1}}=\mathrm{\mu}_{2}{u}^{q_{2}},\enspace {{x}_{1}}={0},\enspace {t}\in ({0,T})$\end{document} Here δi⩾0, µj⩾0, pi⩾0, qj⩾0 and at least one of δiµjpiqj>0(i, j=1, 2). We prove that the solutions will blow up in finite time for suitable ‘large’ initial values. The exact blow‐up rates are also obtained. Copyright © 2009 John Wiley & Sons, Ltd.