Miracle-dz/UniFAR-FTUs huggingface dataset:
POLYNOMIAL INTERPOLATION FUNCTIONS IN ADVANCED DYNAMICS

The present paper is devoted to the research of the main author, in what concerns the use of polynomial interpolation functions in generating the motion trajectory of an industrial robot. In this purpose are presented some classical formulations on polynomial interpolation functions of third order with restrictions. Unlike the third order polynomials, the higher order polynomials have the advantage of ensuring the continuity in accelerations of higher order. Are also presented, in explicit form, the expressions for the acceleration energy of first, second and third order, corresponding to the current and sudden motions multi body systems and which are further use to define the motion equations. In the final part of the paper, the formulations are applied to describe the dynamic behavior of a 2TR robot structure. So, are determined the expressions for the acceleration energies of first, second and third order, compulsory in defining the dynamic equations. The time variation laws for generalized coordinates, velocities, accelerations, energy of accelerations and generalized forces of first, second and third order will be also defined. Key words: polynomial interpolation functions, advanced dynamics, acceleration energy, robotics.
Chitosan Biopolymer and Its Nanocomposites: Emerging Material as Adsorbent in Wastewater Treatment

Water pollution is a global issue because of potentially lethal toxins. Polymeric nanomaterials are making their way into water treatment processes and are being utilized to efficiently remove a variety of pollutants. Polymeric nanomaterials are a popular option for a solution because they have a high adsorption capacity and a high surface charge. Nanocomposites have recently come to the attention of those working in the field of water treatment in order to more effectively remove contaminants. Polymeric composites are based on biopolymers and are being developed. These all quickly reached the industrial standards because of their low impact on the natural world. Chitosan is one of the biopolymers that are used extensively. Moreover, it is one of the most highly preferred biopolymers. It is simple to scale up and is readily available. The incorporation of nanomaterials into the biopolymer enables better control over the shape, size, and morphology of the particle, as well as an increase in the efficiency with which contaminants are removed. This is an excellent review that examines recent developments in the formation of chitosan-based polymeric nanocomposites and their performance in removing various contaminants including heavy metals, dyes, pesticides, pharmaceutical waste, and radionuclides from water.
Effect of A mixing on elastic modulus, cleavage stress, and shear stress in the Ti 3 (Si x Al 1 -x ) C 2 MAX phase

Solid solution MAX phases oﬀer the opportunity for further tuning of the thermo-mechanical and functional properties of MAX phases, increasing their envelope of performance. Previous experimental results show that the lattice parameters of Ti 3 (Si x Al 1 − x )C 2 decrease, while the Young’s modulus increases with increased Si content in the lattice. In this work, we present a computational investigation of the structural, electronic, and mechanical properties of Ti 3 (Si x Al 1 − x )C 2 (x= 0, 0.25, 0.5, 0.75, and 1). The solid solutions were modeled using special quasirandom structures (SQS) and calculated using Density Functional Theory (DFT), which is implemented in the Vienna Ab initio Simulation Package (VASP). The SQS structures represent random mixing of Al and Si in the A sublattice of 312 MAX phase and their structural, electronic, and mechanical properties were calculated and compared with experiments. We study the cleavage and slip behavior of Ti 3 (Si x Al 1 − x )C 2 to investigate the deformation behavior in terms of cleavage and shear. It has been shown that the cleavage between M and A layers results in increasing cleavage stress in Ti 3 (Si x Al 1 − x )C 2 as a function of Si content in the lattice. In addition, the shear deformation of hexagonal close packed Ti 3 (Si x Al 1 − x )C 2 under (cid:104) 2¯1¯10 (cid:105) { 0001 } and (cid:104) 0¯110 (cid:105) { 0001 } results in increasing unstable stacking fault energy (USFE) and ideal shear strength (ISS) in Ti 3 (Si x Al 1 − x )C 2 as the system becomes richer in Si.
Do income diversification and capital adequacy affect liquidity creation? A case study of commercial banks in Kenya

Abstract The paper investigates how income diversification and capital adequacy affect the liquidity creation of banks in Kenya. We employed unbalanced panel data from 36 commercial banks from 2001 to 2020. We extracted data from published banks’ financial reports and statements. The study used the broad and narrow measures to measure liquidity creation. Owing to the persistent nature of liquidity creation, we used a dynamic panel model and a two-step system Generalized Method of Moments (SYS GMM) in the analysis. The findings suggest a positive linkage exists between income diversification and the liquidity creation of commercial banks, implying that well-diversified banks have a high level of liquidity creation and vice versa. However, the study discovered a negative relationship between capital adequacy and liquidity creation, supporting the financial fragility-crowding out hypothesis. Consequently, the study suggests that the diversification drive in banks must be reinforced to enhance their liquidity creation. Additionally, due to the tradeoff between capital adequacy and liquidity creation, an optimal level of capital is required to provide a buffer against shocks without negatively impacting liquidity creation, a crucial channel through which banks contribute to the economy.
The Skin and Natural Cannabinoids–Topical and Transdermal Applications

The chemical constituents of the Cannabis plant known as cannabinoids have been extensively researched for their potential therapeutic benefits. The use of cannabinoids applied to the skin as a potential method for both skin-related benefits and systemic administration has attracted increasing interest in recent years. This review aims to present an overview of the most recent scientific research on cannabinoids used topically, including their potential advantages for treating a number of skin conditions like psoriasis, atopic dermatitis, and acne. Additionally, with a focus on the pharmacokinetics and security of this route of administration, we investigate the potential of the transdermal delivery of cannabinoids as a method of systemic administration. The review also discusses the restrictions and difficulties related to the application of cannabinoids on the skin, emphasizing the potential of topical cannabinoids as a promising route for both localized and systemic administration. More studies are required to fully comprehend the efficacy and safety of cannabinoids in various settings.
A Study of Communication Networks through the Lens of Reduction

A central goal of information theory is to characterize the capacity regions of communication networks. Due to the difficulty of the general problem, research is primarily focused on families of problems defined by various classifiers. These classifiers include the channel transition function (i.e., noisy, deterministic, network coding), demand type (i.e., single-source, 2-unicast), network topology (i.e. acyclic network coding, index coding). To date, the families of networks that are fully solved remain limited. Moreover, results derived for one specific family often do not extend easily to other families of problems. Our work shifts from the traditional focus on solving example networks to one that builds connections between problem solutions so that we can say where and when solving a problem in one domain would also solve a corresponding problem in another domain. Central to our approach is a technique called "reduction", in which we connect the solutions and results of communication problems. We say that problem A reduces to problem B when A can be solved by first transforming it to B and then applying a solution for B. We focus on two notions of reduction: reduction in code design and reduction in capacity region. Our central results demonstrate reductions with respect to a variety of classifiers. We show that finding multiple multicast network capacity regions reduces to finding multiple unicast network capacity regions both when capacity is defined as the maximal rate over all possible codes and when capacity is defined as the optimal rate over linear codes. As a corollary to this result, we show that the same capacity reduction holds for when network types are limited to either network coding networks or index coding networks. In several instances, we show that a reduction in code design extends to a reduction in capacity region if and only if the edge removal conjecture holds. Here, the edge removal conjecture states that removing an edge of negligible capacity from a network does not change its capacity region. One of the key challenges in network coding research is how to handle networks containing cycles. As a result, many papers on network coding restrict attention to acyclic networks and some results derived for acyclic networks do not extend to networks containing cycles. We consider a streaming model for network communication where information is streamed to its destination under a constraint on maximal delay at the decoder. Restricting our attention to this scenario enables us to prove a code reduction from network coding to index coding in both acyclic and cyclic networks. Since index coding networks are acyclic, a consequence of this reduction is that under the streaming model, there is no fundamental difference between acyclic and cyclic networks.
Strategies to improve the implementation of intensive lifestyle interventions for obesity

COPYRIGHT © 2023 Finn, Whang, Hong, Costa, Callahan and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Strategies to improve the implementation of intensive lifestyle interventions for obesity
Editorial: Curriculum-based professional learning in early childhood education: conceptualization, implementation and evaluation

COPYRIGHT © 2023 Yang, Bautista and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Curriculum-based professional learning in early childhood education: conceptualization, implementation and evaluation
The Magnetic Phase Transition and Universality Class of h-(Y0.98 Eu0.02)MnO3 and h-YMnO3 in Zero and Applied Pressure

We have investigated the antiferromagnetic phase transition in the frustrated and multiferroic hexagonal manganites $h$-(Y$_{0.98}$ Eu$_{0.02}$)MnO$_3$ (YEMO) and $h$-YMnO$_3$ (YMO). Elastic neutron scattering has been used to study in detail the phase transition in YMO and YEMO in zero pressure and in YMO at a hydrostatic pressure of 1.5~GPa. In zero pressure, we find the critical temperature $T_{\rm N} = 72.11(5)$~K and 71.3(1)~K and the critical exponent $\beta = 0.206(3)$ and 0.22(2), for YEMO and YMO, respectively. This is in agreement with earlier work by Roessli {\em et al.}. In applied hydrostatic pressure of 1.5~GPa, the ordering temperature increases to $T_{\rm N} = 75.2(5)$~K, in agreement with earlier reports, while $\beta$ is unchanged. Inelastic neutron scattering was used to determine the anisotropy spin wave gap at the phase transition, expected from spin wave theory to close with a critical exponent $\beta'$ identical to the one of the order parameter, $\beta' = \beta$. Our results indicate that the gap in YEMO indeed closes at $T_{\rm N}=72.4(3)$~K with $\beta' = 0.24(2)$, while the in-pressure gap in YMO closes at 75.2(5)~K with an exponent of $\beta' =0.19(3)$. In addition, the low-temperature anisotropy gap was found to have a slightly higher absolute value under pressure. The consistent values obtained for $\beta$ in the two systems support the likelihood of a new universality class for triangular, frustrated antiferromagnets.
Designing and validating a research questionnaire - Part 1

Questionnaires are often used as part of research studies to collect data from participants. However, the information obtained through a questionnaire is dependent on how it has been designed, used, and validated. In this article, we look at the types of research questionnaires, their applications and limitations, and how a new questionnaire is developed.
Stratified lattice-valued neighborhood tower group

Abstract In this paper, by generalizing Höhle and Šostak’s stratified L-fuzzy neighborhood system, the notion of stratified L-neighborhood tower space is introduced. Then by enriching a group structure on a stratified L-neighborhood tower space, the notion of stratified L-neighborhood tower group is proposed. It is proved that this notion can be regarded as a natural extension of stratified L-neighborhood group dis- cussed by Ahsanullah etal. Indeed, the category of stratified L-neighborhood tower groups includes the category of stratified L-neighborhood groups as a concretely reflective (resp., coreflective) full subcategory. Furthermore, it is shown that the group operations enrich a stratified L-neighborhood tower space to be topological (generally, stratified L-neighborhood tower space is not topological). This means that there is no diﬀerence between stratified L-neighborhood tower group and topologically stratified L-neighborhood tower group.
Modélisation Prétopologique pour la Structuration Sémantico-Lexicale

Résumé. Cet article présente une nouvelle méthode pour la construction d’une structure sémantico-lexicale à partir de l’observation des co-occurrences de termes en corpus. Nous utilisons le formalisme de la prétopologie pour modéliser à la fois le niveau de généralité/spécificité des termes et leurs proximités sémantiques à partir d’une matrice de similarité asymétrique. Nous montrons qu’un ordre partiel peut être défini sur le lexique et proposons un algorithme de construction d’une structure hiérarchique.
SLAPS: Simultaneous Localization and Phase Shift for a RIS-Equipped UAV in 5G/6G Wireless Communication Networks

Unmanned aerial vehicles (UAVs) are utilized to improve the performance of wireless communication networks (WCNs). In 5G/6G WCNs, where massive muti-input multi-output (mMIMO) base stations (BSs) are operated for beamforming to address fast fading, shadowing, and blockage issues of millimeter waves (mmWave) and quasi-optic signals, the application of UAVs as active mMIMO transceivers is questionable. This is due to the prohibitive complexity of the required overhead baseband processor. Reconfigurable intelligent surface (RIS) is a complementary technology to mMIMO BSs to address the energy inefficiency and complexity of 5G/6G WCNs. Equipping UAVs with RISs, comprising passive elements, allows UAVs to remain promising gadgets for improving coverage and blockage issues in 5G/6G by reflecting in the sky and providing aerial line-of-sight (ALoS) service. Particularly, RIS-equipped UAVs (RISeUAVs) can be beneficial for ALoS vehicle-to-vehicle (V2V) communication of autonomous intelligent vehicles. However, channel estimation is prohibitive in a highly dynamic environment. In this light, accurate localization makes it feasible to use geometry information for phase shift and passive beam-steering. Also, accurate localization is required for crash avoidance and safe navigation in dense urban canyons. We propose the simultaneous localization and phase shift (SLAPS) method as a mmWave-localization technique for RISeUAVs. Simulation results prove the effectiveness of the method.
Three-Dimensional Blade Shape Optimization for a Transonic Axial Flow Compressor Through Incorporating Surrogate Model and Sequential Sampling

High level aerodynamic performance has been always expected for the axial flow compressors, and it is the consistent goal for axial flow compressor research. To achieve such a goal, the incorporation of CFD with optimization algorithm and surrogate model in blade geometry optimization has become a common practice and been used extensively. But the conventional surrogate model based on merely initial sampling often deviates from the real optimization problem during optimization process and then brings the optimizer to search locally, leading to the compromised optimal results. There are yet much to do to improve such optimization design method. An optimization method of surrogate model being updated by sequential sampling strategy is developed to achieve global optimal design geometry and permit high-level of aerodynamic performance for axial flow compressor. Preliminary Kriging surrogate model is constructed with a small number of selected DOE samplings, where the multiple optimization objective functions are obtained based on CFD simulations. The optimization is performed on the surrogate model with NSGA-II optimization algorithm and Pareto fronts successively obtained. To improve the surrogate model, the MSE (Mean Squared Error) criteria is used to select the refinement point from the newest Pareto front, and it is used to update and improve the surrogate model gradually during the optimization. Such adaptive feature of the surrogate model has enabled the optimizer to search globally. The method is used to optimize transonic Rotor 37 at design flow rate, where the blade shape is varied simultaneously in terms of sweep and lean, and the geometry is optimized. In the converged Pareto front, abundant candidate designs with significant performance gains are produced. Three points over the Pareto front are selected and analyzed to take an insight into the optimization effectiveness. Overall performance curves of optimized geometries are predicted over the entire flow range and they are significantly improved compared with the original ones. Significant overall performance gains arising from the blade optimization are supported by the improved flow behavior. The overall pressure ratio or efficiency gains of the optimized blades are attributed to the significant improvement in the radial distribution of aerodynamic parameters. Further research shows that the shock structure is changed and separation zone is reduced with the optimized blades, which are the major reasons for the improvement of the aerodynamic performance of optimized blades.
New method for probe position correction for Ptychography

For high resolution imaging, X-rays and electron beams are being used. However, for such a short wavelength, imaging with lenses becomes difficult as lenses absorb a part of radiation and lenses with very low aberrations must be used. Ptychography is a lens-less imaging technique which uses intensity information of the multiple diffraction patterns in the far field. These multiple far field diffraction patterns are generated by an unknown object which is scanned by a localized illuminated spot (probe). Accurate knowledge of initial parameters is important for a good reconstruction of the object. Robustness of the Ptychography Iterative Engine (PIE) has already been studied for inaccurately known initial parameters, where the success of the algorithm was found to be sensitive to the accuracy of the estimate of lateral positions of the probe. :; We present here a new method to correct the lateral position of the probe with respect to the object. This method is more straightforward to implement than other existing algorithms while comparable accuracy for the lateral position is achieved. Being able to correct the probe positions has positive implication in experiments, in particular at the short wavelength cases. It relaxes the requirement for the experimental set-up.
Weak-subdifferentials for vector functions and applications to multiobjective semi-infinite optimization problems

ABSTRACT A notion of generalized weak-subdifferentials for vector functions on a linear space is proposed. Properties of the weak-subdifferentials are investigated. A notion of weak-stability for a nonconvex optimization problems is introduced. Finally, relations between weak-stability and strong duality of the problem are established.
‘No to halata, astig to astig only’: The emerging bisexual lingo and the (un)marketable identities on PlanetRomeo

This study critically analyzes different linguistic expressions that are ideologically and indexically used by self-identified bisexual members of PlanetRomeo, a gay-dating website. Using lexico-grammatical analysis and selective self-presentation as lens, the study examines the textual areas of 167 online dating profiles of Filipino bisexual men. Findings indicated an emerging subcultural lingo, which is characterized by word connotations, echoic binomials, and negations. Moreover, the study offers insights into the identity-construction efforts of bisexual men through their language use, which allow them to occupy attractive and marketable identities in the contemporary period. More importantly, it sheds light on how these men’s linguistic constructions of desired and desirable identities also work toward the marginalization and disenfranchisement of other identities. Overall, this study hopes to contribute to the area of sexual identity construction in and through discourse and to contemporary understandings of the ways in which identities are read as either desirable or undesirable by a particular community, and the hierarchies and judgments that such readings entail for members of the community.
The optimized power flow control system for the photovoltaic DC microgrid

The power flow control systems play a significant role in DC microgrids with photovoltaic inputs to supply the load with continuous power. The output power of the photovoltaic modules could experience a decline due to fluctuations in solar irradiation and temperature, which necessitates the use of batteries and the utility grid to reduce the negative effects of undesirable variations. However, an efficient control strategy is necessary to ensure an uninterrupted energy supply to the load units. This paper proposes an improved control of energy flow based on a State-of-Charge battery power estimation technique using the Coulomb counting method. By accurately estimating the available power from the batteries using the State-of-Charge technique, the microgrid is able to determine to assess if it requires to switch to the grid when the power output from photovoltaic modules is insufficient to meet the load demand. The proposed method also eliminates the need for DC bus voltage level-based approaches to charge or discharge the batteries with the advantages of the significant reduction in DC bus voltage variations. The simulation results of the proposed approach show that it provides satisfactory control performance to meet the load demand.