Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumo de lujo inmigrante venezolano en la ciudad de Medellín desde las percepciones de los consumidores

Una de las más significativas movilizaciones de los últimos años ha sido la migración de venezolanos a Colombia, debido a las circunstancias económicas y sociales de su país de origen. Un gran número de personas ha tomado la decisión de migrar, con el fin de conservar el estilo de vida que tenían en su país natal en determinado momento. El objetivo de este estudio cualitativo y de método fenomenológico es identificar las dinámicas y prácticas de consumo de lujo de los venezolanos residentes en Medellín. Un tipo de lujo que, con el paso del tiempo, los avances tecnológicos y las redes sociales, ha hecho que este no solo esté reservado a las élites, sino que se haya transformado hacia un consumo más asequible, lo que algunos autores definen como la democratización del lujo. Para ello, se diseñó una entrevista semiestructurada con el fin de identificar motivos de migración, estilo de vida y comportamiento de consumo de diez migrantes venezolanos residentes en Medellín con un tiempo mayor a 4 años. Las respuestas dan a conocer las diferentes situaciones y vivencias que han tenido que pasar los entrevistados en su proceso migratorio, y los logros obtenidos en Medellín, los cuales les han permitido una mejor calidad de vida y una estabilidad económica que les facilita consumir ciertos artículos de lujo. Han alcanzado cierto estatus socioeconómico que les posibilita un consumo no solo de supervivencia, como el imaginario que se tiene del migrante en general, sino un consumo de lujo más acorde a su situación actual.
Manifestaciones, diagnóstico y tratamiento en el trastorno del espectro autista

La ampliación del conocimiento científico sobre el autismo puede ser identificada por el aumento en la producción de investigaciones sobre este trastorno en las últimas décadas, implicando actualizaciones recientes de su clasificación, comprensión e intervención. Las características multifactoriales que envuelven el Trastorno del Espectro Autista (TEA) hacen de él un trastorno muy complejo. En función de eso requiere un equipo multidisciplinario, compuesto por diversos profesionales de varias áreas y que estos junto a los responsables del niño con TEA, los cuales de manera coordinada realizan la detección, diagnóstico y la intervención que será realizado de manera pronta y optimizada, ya que es de conocimiento que el diagnóstico con intervención temprana, trae mejoras en el desarrollo cognitivo del niño, aparte de evitar que diversos comportamientos inherentes al trastorno se desarrollen posteriormente. El objetivo de este artículo es presentar una revisión bibliográfica sobre el trastorno del espectro autista, enfatizando los factores epidemiológicos y las manifestaciones clínicas, su diagnóstico y tratamiento.
Islamic banks' decomposed financing and industrial output growth in Pakistan

Finance is considered as “the lifeblood of an economy” and imperative to a country’s growth and stability. However, this perception has been called into two propositions, ”More ﬁnance more growth ”and ”Does too much ﬁnance harm economic growth? Existing literature considered only a single indicator i.e. total ﬁnancing, assuming all ﬁnancing has the same eﬀect on growth. Furthermore, these studies also overlooked the nonlinear dynamics of Islamic decomposed ﬁnancing and sectoral growth. As the composition of every economic sector is diﬀerent, therefore ﬁnancing can impact diﬀerently. This gap is covered in this study by decomposing Islamic ﬁnancing into Islamic producer ﬁnancing and Islamic consumer ﬁnancing with special emphasis on industrial output growth in order to revisit the relationship in Pakistan. Based upon quantitative time series analysis over the period of 2010 Q1 to 2020 Q4, this study has employed autoregressive distributive lag (ARDL) with quadratic speciﬁca-tions. Moreover, the estimated coeﬃcients are plotted to visualize the nonlinear impact of Islamic ﬁnancing. This study found an inverted u-shape relationship between Islamic bank decomposed ﬁnancing and industrial growth in the long run but this relationship is insigniﬁcant in the short run because the share of Islamic ﬁnancing is very low compared to its conventional counterpart. Empirical ﬁndings indicate a threshold eﬀect where the level of ﬁnancial development positively contributes to the growth only up to a certain level of ﬁnancing, and after surpassing this can harm the growth. This study enriches the discussion on Islamic decomposed ﬁnancing and the threshold eﬀect. Policymakers may re-visit the Islamic ﬁnance development policies to liberalize the Islamic ﬁnancial system as Islamic ﬁnance industry is also linked with KIBOR, so the vanishing eﬀect reﬂects near the threshold point of ﬁnancing.
Developing Thermal Density Functional Theory Using the Asymmetric Hubbard Dimer

Author(s): Smith, Justin Clifford | Advisor(s): Burke, Kieron | Abstract: In this dissertation, I introduce both ground-state and thermal density functional theory. Throughout I use the asymmetric two-site Hubbard model, called the Hubbard dimer for short, to better understand and/or develop these theories. This model is used because it can be solved analytically and it contains all the necessary physics while still being conceptually simple enough to tease apart the various aspects of density functional theory. Ground-statedensity functional theory has seen broad use in many disciplines including physics, chemistry, geology, and material science and has led to a number of important physical and technological successes. In the first two chapters I elucidate the behavior of the ground-state theory using the Hubbard dimer. The simplicity of the model allows me to showcase aspects of the theory that are common points of confusion within the electronic structure community, e.g. the fundamental gap problem. The next two chapters focus on thermal density functional theory which has been coming to prominence as the study of warm dense matter has becomea growing interest at the national laboratories and in the astronomical body community. The Hubbard dimer allows me to do the first ever exact thermal density functional theory calculation. In this work I am better able to understand the approximations used in thermal density functional theory and can point to why they succeed and fail. This also allows me to illustrate old conditions and derive new ones. I conclude with an overview of the work and a few different directions in which the asymmetric Hubbard dimer could be used further.
Statistical Characteristics and Scintillation Level of Scattered Radio Waves in the Magnetized Plasma

Second order statistical moments of scattered radiation in the magnetized plasma is considered using modified smooth perturbation method taking into account both diffraction effects and polarization coefficients of both the ordinary and extraordinary waves. The broadening of the spatial spectrum and displacement of its maximum are obtained. Scintillation level of scattered waves is analyzed for different parameters characterizing anisotropic irregularities for the ionospheric F-region.
Pulse-amplitude modulation of optical injection-locked quantum-dot lasers

This work theoretically investigates the four-level pulse-amplitude modulation characteristics of quantum dot lasers subject to optical injection. The rate equation model takes into account carrier dynamics in the carrier reservoir, in the excited state, and in the ground state, as well as photon dynamics and phase dynamics of the electric field. It is found that the optical injection significantly improves the eye diagram quality through suppressing the relaxation oscillation, while the extinction ratio is reduced as well. In addition, both the adiabatic chirp and the transient chirp of the signal are substantially suppressed.
An overview of fibroblast growth factor 23 and its role in kidney function

Fibroblast growth factor 23 (FGF23) is a hormone that plays a critical role in regulating mineral homeostasis in the body. Specifically, FGF23 acts on the kidneys to decrease the reabsorption of phosphate from the blood and into the urine. This process helps to reduce serum phosphate levels and maintain balance alongside other hormones such as PTH. The primary responsibility of FGF23 is to regulate the balance of phosphate in the body. It does this by acting on the kidney cells to decrease the reabsorption of phosphate from the blood and into the urine. This process allows the body to excrete excess phosphate to maintain normal serum phosphate levels in the blood. In addition to regulating phosphate levels, FGF23 also plays a role in the metabolism of vitamin D. FGF23 can increase the metabolism of vitamin D to an inactive form, reducing the amount of active vitamin D in the body. This reduction in active vitamin D levels leads to decreased intestinal absorption of dietary calcium and phosphate. Abnormal levels of FGF23 in the body have been associated with several health concerns, particularly in patients with chronic kidney disease. High levels of FGF23 have been linked to the development of bone loss, vascular calcification, and cardiovascular disease. Conversely, low levels of FGF23 have been associated with an increased risk of mortality and cardiovascular disease in patients with kidney disease.
T-CAT: Dynamic Cache Allocation for Tiered Memory Systems With Memory Interleaving

New memory interconnect technology, such as Intel's Compute Express Link (CXL), helps to expand memory bandwidth and capacity by adding CPU-less NUMA nodes to the main memory system, addressing the growing memory wall challenge. Consequently, modern computing systems embrace the heterogeneity in memory systems, composing the memory systems with a tiered memory system with near and far memory (e.g., local DRAM and CXL-DRAM). However, adopting NUMA interleaving, which can improve performance by exploiting node-level parallelism and utilizing aggregate bandwidth, to the tiered memory systems can face challenges due to differences in the access latency between the two types of memory, leading to potential performance degradation for memory-intensive workloads. By tackling the challenges, we first investigate the effects of the NUMA interleaving on the performance of the tiered memory systems. We observe that while NUMA interleaving is essential for applications demanding high memory bandwidth, it can negatively impact the performance of applications demanding low memory bandwidth. Next, we propose a dynamic cache management, called T-CAT, which partitions the last-level cache between near and far memory, aiming to mitigate performance degradation by accessing far memory. T-CAT attempts to reduce the difference in the average access latency between near and far memory by re-sizing the cache partitions. Through dynamic cache management, T-CAT can preserve the performance benefits of NUMA interleaving while mitigating performance degradation by the far memory accesses. Our experimental results show that T-CAT improves performance by up to 17% compared to cases with NUMA interleaving without the cache management.
Performance Estimation of Improved Cooperative Spectrum Sensing under Fading Environment

To deal with spectrum scarcity, Cognitive radio has been considered as a resolving technology. Energy detection(ED) is the most preferable sensing technique due to its lower complexity, ease of working and non-dependency on primary user data requirements. Although having many advantages, ED has some practical limitations like low SNR, shadowing, erroneous reporting channels and multipath fading. Here, a comparative study is done to check the effect of such parameters. And with simulation, it is proven that Cooperative spectrum sensing can reduce the effect of these confines. In this paper, we have also simulated the improved version of ED where decision making is done cooperatively. The results show that the performance of Improved Energy Detection (IED) is more efficient than the Classical ED, not only for AWGN, but also under fading environment. Cooperative spectrum sensing enhances the performance further. Under fading environment, the majority logic with centralized fusion centre performs better than other techniques. In this paper the performance estimation of Improved Energy Detection technique is done under Rayleigh fading environment and the positive effect of cooperation is also evaluated considering erroneous reports and imperfect reporting channels.
Fast Channel Estimation and Beam Tracking for Millimeter Wave Vehicular Communications

Millimeter wave (mmWave) has been claimed to be the only viable solution for high-bandwidth vehicular communications. However, frequent channel estimation and beamforming required to provide a satisfactory quality of service limits mmWave for vehicular communications. In this paper, we propose a novel channel estimation and beam tracking framework for mmWave communications in a vehicular network setting. For channel estimation, we propose an algorithm termed robust adaptive multi-feedback (RAF) that achieves comparable estimation performance as existing channel estimation algorithms, with a significantly smaller number of feedback bits. We derive upper and lower bounds on the probability of estimation error (PEE) of the RAF algorithm, given a number of channel estimations, whose accuracy is verified through Monte Carlo simulations. For beam tracking, we propose a new practical model for mmWave vehicular communications. In contrast to the prior works, the model is based on position, velocity, and channel coefficient, which allows a significant improvement of the tracking performance. Focused on the new beam tracking model, we re-derive the equations for Jacobian matrices, reducing the complexity for vehicular communications. An extensive number of simulations is conducted to show the superiority of our proposed channel estimation method and beam tracking algorithm in comparison with the existing algorithms and models. Our simulations suggest that the RAF algorithm can achieve the desired PEE, while on average, reducing the feedback overhead by 75.5% and the total channel estimation time by 14%. The beam tracking algorithm is also shown to significantly improve beam tracking performance, allowing more room for data transmission.
Measuring E-Commerce Service Quality for the Adoption of Online Shopping during COVID-19: Applying Unified Theory and Use of Technology Model (UTAUT) Model Approach

With the increasing cases of COVID-19 and unexpected lockdowns, technology acceptance, especially internet-based online shopping becomes an important issue in today's business world. Since Information technology is pervasive and has enormous potential, therefore this study identifies antecedents of online shopping adoption by utilizing Unified theory and use of technology model and electronic service quality to observe the influence of these two variables on buyers' intention to adopt internet shopping. The data was collected from the customers using products of the Fast-moving Consumer goods (FMCG) industry. The data collection period was one month beginning in April 2021. The data was analysed using mainly two approaches confirmatory factor analysis and structural equation modelling using Lisrel 8.80. The findings of this study revealed that the integrated UTAUT model is highly significant and influences the buyer's intention to adopt internet shopping for their daily needs.
Comparison of multiple imputation and two-phase logistic regression to analyse two-phase case–control studies with rich phase 1: a simulation study

ABSTRACT Two-phase case–control studies cope with the problem of confounding by obtaining required additional information for a subset (phase 2) of all individuals (phase 1). Nowadays, studies with rich phase 1 data are available where only few unmeasured confounders need to be obtained in phase 2. The extended conditional maximum likelihood (ECML) approach in two-phase logistic regression is a novel method to analyse such data. Alternatively, two-phase case–control studies can be analysed by multiple imputation (MI), where phase 2 information for individuals included in phase 1 is treated as missing. We conducted a simulation of two-phase studies, where we compared the performance of ECML and MI in typical scenarios with rich phase 1. Regarding exposure effect, MI was less biased and more precise than ECML. Furthermore, ECML was sensitive against misspecification of the participation model. We therefore recommend MI to analyse two-phase case–control studies in situations with rich phase 1 data.
Polynomials Of Small Mahler Measure With no Newman Multiples

A Newman polynomial is a polynomial with coefficients in {0,1} and with constant term 1. It is known that the roots of a Newman polynomial must lie in the slit annulus {z∈C : φ−1 < |z|< φ}\R+ where φ denotes the golden ratio; however, it is not guaranteed that all polynomials whose roots lie in this slit annulus divide a Newman polynomial. The Mahler measure of a monic polynomial is defined to be the product of the absolute values of those roots of the polynomial which are greater than 1. K. Hare and M. Mossinghoff have asked whether there is a σ > 1 such that if a polynomial f (z) ∈ Z[z] has Mahler measure less than σ and has no nonnegative real roots, then it must divide a Newman polynomial. In this thesis, we present a new upper bound on such a σ if it exists. We also show that there are infinitely many monic polynomials that have distinct Mahler measures which all lie below φ , have no nonnegative real roots, and have no Newman multiples. Finally, we consider a more general notion in which multiples of polynomials are considered in R[z] instead of Z[z].
Effect of Arabinoxylan from Wastewater Generated during Vital Wheat Gluten Production on Liver Metabolism in Type 2 Diabetic Mice

Arabinoxylan (AX) is a dietary fiber that has been proven to have a significant antidiabetic effect. Liver metabolic disorders frequently coincide with the development of type 2 diabetes, but research on the hepatoprotective effects of AX in type 2 diabetic mice is lacking. As AX is abundant in the wastewater produced during vital wheat gluten protein production, this study used it as a raw material to evaluate its protective effect on liver function. The study employed an AX intervention in type 2 diabetic mice induced by a high-fat diet combined with streptozotocin and collected serum and liver tissue samples after 4 weeks. Serum and liver function indicators were measured using an automatic biochemistry analysis apparatus, and liver fat accumulation was observed using oil red O staining. Nontargeted metabolomics analysis of liver tissues was conducted using UHPLC-MS/MS. The results showed that AX significantly improved liver function indicators and histopathological damage, and regulated liver metabolic disorders by improving the differential metabolites of pantothenate and CoA biosynthesis, as well as purine metabolism. This study demonstrated that AX may exert a significant hepatoprotective effect by regulating metabolic disorders.
A Wave Based Method for solving Helmholtz problems in semi-infinite domains

The wave based method (WBM), which is based on an indirect Trefftz approach, is a deterministic prediction method posed as an alternative to the element-based methods. It uses wave functions, which are exact solutions of the underlying differential equation, to describe the dynamic field variables. In this way, it can avoid the pollution errors associated with the polynomial element-based approximations. As a consequence, a dense element discretization is no longer required, yielding a smaller numerical system. The resulting enhanced computational efficiency of the WBM as compared to the element-based methods has been proven for the analysis of both bounded and unbounded acoustic problems. This paper extends the applicability of the WBM to semi-infinite domains. An appropriate function set is proposed, together with a calculation procedure for both semi-infinite radiation and scattering problems, and transmission or diffraction problems containing a rigid baffle. The resulting technique is validated on two numerical examples.
Family-based treatment (FBT) for loss of control (LOC) eating in youth: Current knowledge and future directions

ABSTRACT Loss of control (LOC) eating in youth is a common disordered eating behavior and associated with negative health and psychological sequalae. Family-based treatment (FBT) is an efficacious treatment for adolescent anorexia nervosa and bulimia nervosa (BN) but has not been formally evaluated for adolescents with LOC eating. This study is a secondary data analysis from a randomized controlled clinical trial (NCT00879151) testing FBT for 12–18-year-olds with BN. Data were reanalyzed to examine outcomes for LOC eating episodes, regardless of episode size. Abstinence rates, defined as zero LOC eating episodes (objective or subjective binge episodes) in the previous month, were calculated at the end-of-treatment (EOT), 6-month, and 12-month follow-up time points. Among 51 adolescent participants (M + SD: 15.94 + 1.53 y; 92% female; 23.5% Hispanic; 76.5% Caucasian), FBT significantly reduced LOC eating episodes, with 49% achieving LOC eating abstinence at EOT. At 6-month follow-up, 41% achieved LOC eating abstinence. Of those providing 12-month follow-up data, 73% achieved abstinence. This preliminary exploration suggests that FBT may be effective for youth with LOC eating, regardless of episode size. Additional research is needed to replicate these findings and extend treatments with developmental adaptations for younger children with LOC eating.
On strongly nil clean rings

ABSTRACT A ring R is strongly nil clean if every element in R is the sum of an idempotent and a nilpotent that commutes. We prove, in this article, that a ring R is strongly nil clean if and only if for any a ∈ R, there exists an idempotent e ∈ ℤ[a] such that a − e ∈ N(R), if and only if R is periodic and R∕J(R) is Boolean, if and only if each prime factor ring of R is strongly nil clean. Further, we prove that R is strongly nil clean if and only if for all a ∈ R, there exist n ∈ ℕ,k ≥ 0 (depending on a) such that , if and only if for fixed m,n ∈ ℕ, for all a ∈ R. These also extend known theorems, e.g, [5, Theorem 3.21], [6, Theorem 3], [7, Theorem 2.7] and [12, Theorem 2].
Research on the Continuous Participation of Virtual Brand Community in Decision-Making Based on Social Influence Theory

Based on the social influence theory, the influence of virtual brand community members’ perceived value on social influencing factors is discussed, and the influence of social influencing factors on virtual brand community members’ continuous participation in decision-making is analyzed. Through an empirical analysis of the survey data of Xiaomi users in the Xiaomi Community, the results showed that the perceived value of virtual brand community members significantly and positively affects social influencing factors, which also significantly and positively affect the members’ continuous participation in virtual brand communities. Therefore, only by sharing valuable information resources and improving the efficiency of information flow, thereby enhancing the perceived value of the community and increasing the stickiness of members to the virtual community, will we have an opportunity to enhance the interaction among members and effectively promote continuous participation in community activities through the strong bonds formed among members.