Miracle-dz/UniFAR-FTUs huggingface dataset:
Cooperative Inter-Domain Cache Sharing for Information-Centric Networking via a Bargaining Game Approach

Caching popular content locally has been shown to be an efficient way for internet service providers (ISPs) to reduce transit fees and improve the quality of their services. Recently, with the development of information-centric networking, content-peering, which allows peering ISPs to access each other's cache, has attracted interest. However, due to the economic structure and policy routing of the internet, content peering is only applicable between settlement-free peering ISPs, which constraints the benefit of inter-domain cache sharing. In this study, we consider extending the inter-domain cache sharing to ISPs with different tiers; this is done to take full advantage of the caching resources. Specifically, we identify the special properties of the inter-domain cache-sharing market with ISPs of different tiers, analyze the ISPs’ interactions, and employ Nash bargaining solutions to address the resource allocation issues in the market. In addition, we present decentralized algorithms to realize the proposed mechanism for large-scale networks. We show the correctness of the proposed method through rigorous analysis, and we verify the benefits to ISPs by carrying out extensive experiments.
Optimization Design of Interior Permanent Magnet Synchronous Motor With U-Shaped Rotor for Low-Level Torque Ripple and Electromagnetic Vibration

The optimization design of the interior permanent magnet synchronous motor (IPMSM) is a challenge due to its complex rotor configuration and interdependent structural parameters. The electromagnetic vibration of the IPMSM is intricate due to the complex contents of electromagnetic force densities caused by the unequal inductances between the ${d}$ - and ${q}$ -axes. In this article, a 6-pole 36-slot IPMSM with a nonuniform air gap is designed, and the multiobjective stratified optimization method is used to optimize the stator and rotor structure parameters for the low-level torque ripple and electromagnetic vibration, which greatly improves the optimization efficiency. In addition, an improved iterative Taguchi method is proposed, the optimization ranges of variables are reasonably narrowed, the optimal structural parameters are found efficiently and accurately, and the superiority of the proposed method is verified by comparing it with the optimization results obtained by the conventional Taguchi method. In addition, the complete analysis of the optimal motor, including losses, temperature distributions, and irreversible demagnetization of the permanent magnets (PMs), is performed, and the rationality of the optimization scheme is comprehensively verified. Finally, sufficient prototype tests are performed, and the prototype test results well verify the feasibility and effectiveness of the proposed optimization method and optimized motor structure.
Intercultural Music Engagement over Electronic Bridges: Online Ethnography and Actions Research during COVID-19 Lockdown

This contribution details methodological adaptations of face-to-face ethnographic and participatory research approaches for the digital realm and examines emergent ethical concerns. It developed while a research team in Melbourne considered the implications of COVID-19 lockdown for their research on social connection through intercultural music engagement. Pursuing the proliferation of online music activity aimed at maintaining social bonds during the physical distancing of the first months of the pandemic, the team turned to digital platforms as the field of research. Projects included observation of audience engagement with YouTube music broadcasts during COVID-19 lockdown and a participatory action research project exploring asynchronous multitracking performance. The pandemic underlined the world’s increasing interconnectedness, where social ties can span the local to the global. Through an appraisal of the research and consideration of existing discourse about online research approaches and decolonizing methodology, the article also examines the implications of global interconnectedness for interdisciplinary inquiry and the study of different cultural identities and their music and dance practice.
Second sound speed in a crystal of NaF at low temperature

WE DERIVE a physically justifiable model of heat conduction for rigid heat conductors based on a recent approach involving the gradient generalization of an internal state variable. The model accounts for observable phenomena in solid dielectric crystals, related to wave-like conduction of heat in certain ranges of low temperatures and a rapid decay of the speed of thermal waves close to a temperature value V λ , at which the conductivity of the material reaches a peak.
Amikacin-Loaded Chitosan Hydrogel Film Cross-Linked with Folic Acid for Wound Healing Application

Purpose: Numerous carbohydrate polymers are frequently used in wound-dressing films because they are highly effective materials for promoting successful wound healing. In this study, we prepared amikacin (AM)-containing hydrogel films through the cross-linking of chitosan (CS) with folic acid along with methacrylic acid (MA), ammonium peroxodisulfate (APS), and methylenebisacrylamide (MBA). In the current studies, an effort has been made to look at the possibilities of these materials in developing new hydrogel film wound dressings meant for a slow release of the antibiotic AM and to enhance the potential for wound healing. Methods: Free-radical polymerization was used to generate the hydrogel film, and different concentrations of the CS polymer were used. Measurements were taken of the film thickness, weight fluctuation, folding resistance, moisture content, and moisture uptake. HPLC, FTIR, SEM, DSC, and AFM analyses were some of the different techniques used to confirm that the films were successfully developed. Results: The AM release profile demonstrated regulated release over a period of 24 h in simulated wound media at pH 5.5 and 7.4, with a low initial burst release. The antibacterial activity against gram-negative bacterial strains exhibited substantial effectiveness, with inhibitory zones measuring approximately 20.5 ± 0.1 mm. Additionally, in vitro cytocompatibility assessments demonstrated remarkable cell viability, surpassing 80%, specifically when evaluated against human skin fibroblast (HFF-1) cells. Conclusions: The exciting findings of this study indicate the promising potential for further development and testing of these hydrogel films, offering effective and controlled antibiotic release to enhance the process of wound healing.
Assessing the Product–Service Systems Supply Chain Capabilities: Construct and Instrument Development

Product – service systems (PSS) has become a major subject of concern for many industries because of their benefits and the possibilities to reduce negative environmental impacts and address environmental sustainability concerns. Despite the benefits of PSS, little empirical research has been conducted to investigate the PSS supply chain (SC) capabilities constructs. This study offers original contributions to the valid and reliable construct and instrument development to measure the PSS SC capabilities. A systematic approach was employed to develop and validate an instrument for evaluating the PSS SC capabilities. This comprises specifying domains of constructs, generating a sample of items, conducting interrater agreement analysis, testing non-response bias, and assessing the instrument using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The validity of the proposed model was tested using structural equation modeling based on a large-scale online survey from 447 participants working for motorcycle service partners. The result shows seven distinctive PSS SC capabilities constructs, namely knowledge assessment, partner development, co-evolving, reflexive control, re-conceptualization, innovative service delivery, and sustainable product – service capability. The development of the instrument contributes a validated tool for companies to measure their PSS SC capabilities.
Designing robust pose estimator for non-cooperative space targets for visual servoing during approach maneuvers

For on-orbit autonomous grasping of an uncooperative spacecraft using visual servo control of a robotic manipulator, it is imperative that the pose estimation algorithm provide accurate estimates of relative motion parameters from the noisy vision measurements. These non-uniformly sampled measurements have variable noise characteristics and represent a past state owing to the processing time. In this thesis, an event-driven and Out of Sequence Measurement (OOSM)-capable Extended Kalman Filter (EKF) observer with adaptive behavior is derived for estimating motion, inertial and geometric characteristics of an uncooperative Target spacecraft with an objective of grasping while using the measurements of the kind mentioned above. Observability and stability analyses have been presented with conclusions about target inertia and geometry that affect the estimation process. Special focus has been laid on the vision sensor’s noise and time-response characteristics to improve the estimator’s robustness and optimality. Robustness is analysed in terms of convergence, immunity towards outliers and adaptive behaviour in the face changing noise characteristics. The adaptive behaviour in the EKF is achieved using a Variational Bayesian (VB) approach and an assessment is presented for a step-change in noise characteristics. A nonlinear state-space model for relative dynamics between the OOS’s end-effector and the tumbling target have been derived which incorporate orbital dynamics and manipulator’s servoing motion. In order to avoid rank-deficiency variances for the attitude quaternion, a Multiplicative Extended Kalman Filter (MEKF) approach with a reduced state-vector is used. The small angular rotation and the Gibbs vector were used as candidates and an evaluation of both of these representations is provided. A Software In Loop (SIL) has been developed which allows fast prototyping of estimation/control algorithms for the grasping problem using an eye-in-hand topology for position-based servo control.
Location and characterization of the myenteric plexus of insectivorous bats of the species Molossus rufus

Bats, from the Molossidae family, are found on all continents. Molossus rufus, are found in Brazil, having an insectivorous feeding habit. The present study aimed to characterize and locate the myenteric plexus in the gastrointestinal tract of Molossus rufus bats from the northwest region of the state of Paraná. Necropsy of five male specimens was performed and the structures corresponding to the stomach and intestines were fixed in 10% neutral buffered formalin for histological preparation of the material, and 0.5cm of each segment was followed for identification of myenteric ganglia using the technique of Giemsa and the histochemistry of NADPH-diaphorase. The myenteric plexus is found between the circular and longitudinal strata of the tunica muscularis, with neurons gathered in ganglia surrounded by bundles of collagen fibers. The ganglia observed in the membrane preparations were formed by different numbers of neurons, interconnected by bundles of nerve fibers, where isolated neurons could be observed. The location of the myenteric plexus found in bats of the species Molossus rufus is similar to those found in other mammals.
Copula regression models for discrete and mixed bivariate responses

Estimation of the dependencies between bivariate discrete or mixed responses can be difficult. In this article, we propose a copula-based model with latent variables associated with discrete margins to account for correlations between bivariate discrete responses. Furthermore, we generalize this strategy for jointly modeling the dependencies between mixed responses in regression mixed models. The proposed method allows the adoption of flexible discrete margins and copula functions for various types of data. Maximum likelihood is used for model estimation; particularly, the estimation for bivariate responses in copula-based regression mixed models can be implemented using the SAS PROC NLMIXED procedure via adaptive Gaussian quadrature. In addition, a mixed model with non-Gaussian random effects can also be easily fitted using the same SAS procedure after reformulating the likelihood function by multiplying and dividing by a Gaussian density. Simulation results show good performance for bivariate discrete or mixed outcomes ranging from noncorrelated to highly correlated responses. An analysis of student performance in California schools shows a drastic improvement in estimation precision from the joint model versus two independent fits.
A novel multicarrier index keying‐aided non‐orthogonal multiple access systems in presence of uncertain channel state information

This paper investigates the performance of novel multicarrier index keying‐aided non‐orthogonal multiple access (MCIK‐NOMA) system. Unlike the classical scheme, the proposed system sends the information through both index domain and constellation domain symbols thereby increases the spectral efficiency. The impact of channel state information (CSI) uncertainty on the system's performance is investigated. More specifically, the performance of MCIK‐NOMA under three different CSI conditions is analyzed: perfect CSI, MMSE‐based variable CSI, and fixed CSI uncertainty. This paper also discusses the optimum power difference needed for the successful separation of symbols at the SIC receiver by alternating the power ratio in the proposed system. The influence of selecting different active subcarriers and modulation techniques on the system's performance is studied in detail. The simulation results show that the proposed system achieves better BER and spectral efficiency and outperforms the existing systems.
Integral viability analysis of entrepreneurial projects in critical contexts: Application to the case of the management of a shea mill in Kumbungu, Ghana

Purpose: This research presents a methodological proposal to analyse the viability of entrepreneurial projects in critical contexts of developing countries.Design/methodology/approach: The methodological proposal is applied to a case study on the integral viability analysis of a shea mill in Kumbungu (Ghana). Based on a qualitative design, different ad hoc participatory tools are implemented, such as a daily routine schedule, combined with other research techniques (focus groups, interviews, etc.). Findings: The proposal includes ten specific steps to analyse the viability of entrepreneurial projects. It involves, on the one hand, the active participation of the members of the community in order to be able to make a real analysis of their needs; and, on the other hand, an integrating analysis that allows evaluating the sustainability of the project from an economic, social and technological perspective. The methodology is applied to the start-up and management of a shea butter mill in Ghana. Some core aspects are highlighted: 1) people are considered key when making decisions, thus participatory tools (such as the daily routines workshop) can be essential in ensuring the sustainability of the enterprise; 2) the need to adapt the tools to the context. This is crucial in contexts such as Ghana, where language may be a barrier or because the illiteracy rate is high. And 3) from the methodology, it is concluded that it is necessary to prioritise the sustainability of the enterprise in general, not just efficiency.Originality/value: The research combines the classic tools of business viability analysis with those of development cooperation. In this sense, it is proposed to carry out an integral viability analysis that includes not only the economic sustainability of the project, but also the social and technological aspects and, more important, where the active participation of all the stakeholders is considered.
Fake News Detection on Social Media Using Regional Convolutional Neural Network Algorithm

As social media and content-sharing platforms have evolved; misinformation and fake news have spread like wildfire, leading people to believe harmful misinformation. In this way, they can influence public opinion, spread fear, and drive people insane. Fake news identification is a current area of research aimed at determining whether content is genuine. In addition, this has significantly increased the daily amount of information on the Internet. Information can go viral in a matter of seconds thanks to social media, which has changed the way we share and process news. Everyone now relies on many online news sources because the internet is so widely used. News quickly disseminated across millions of users in a very short period of time along with the increase in the use of social media platforms like Facebook, Twitter, etc. The spread of fake news has far-reaching effects, including the formation of skewed beliefs and the manipulation of election results in favour of particular politicians. Moreover, spammers utilise alluring news headlines as click-bait for their adverts in order to make money. To provide more accurate predictions, RCNN models are trained to identify language-driven features according to content properties. This model addresses this using an efficient feature selection method.
A Survey on Forms of Visualization and Tools Used in Topic Modelling

In this paper, we surveyed recent publications on topic modeling and analyzed the forms of visualizations and tools used. Expectedly, this information will help Natural Language Processing (NLP) researchers to make better decisions about which types of visualization are appropriate for them and which tools can help them. This could also spark further development of existing visualizations or the emergence of new visualizations if a gap is present. Topic modeling is an NLP technique used to identify topics hidden in a collection of documents. Visualizing these topics permits a faster understanding of the underlying subject matter in terms of its domain. This survey covered publications from 2017 to early 2022. The PRISMA methodology was used to review the publications. One hundred articles were collected, and 42 were found eligible for this study after filtration. Two research questions were formulated. The first question asks, "What are the different forms of visualizations used to display the result of topic modeling? " and the second question is "What visualization software or API is used? From our results, we discovered that different forms of visualizations meet different purposes of their display. We categorized them as maps, networks, evolution-based charts, and others. We also discovered that LDAvis is the most frequently used software/API, followed by the R language packages and D3.js. The primary limitation of this survey is it is not exhaustive. Hence, some eligible publications may not be included.
Traditions in Collision: The Emergence of Logical Empiricism between the Riemannian and Helmholtzian Traditions

This article attempts to explain the emergence of the logical empiricist philosophy of space and time as a collision of mathematical traditions. The historical development of the “Riemannian” and “Helmholtzian” traditions in nineteenth-century mathematics is investigated. Whereas Helmholtz’s insistence on rigid bodies in geometry was developed group theoretically by Lie and philosophically by Poincaré, Riemann’s Habilitationsvotrag triggered Christoffel’s and Lipschitz’s work on quadratic differential forms, paving the way to Ricci’s absolute differential calculus. The transition from special to general relativity is briefly sketched as a process of escaping from the Helmholtzian tradition and entering the Riemannian one. Early logical empiricist conventionalism, it is argued, emerges as the failed attempt to interpret Einstein’s reflections on rods and clocks in general relativity through the conceptual resources of the Helmholtzian tradition. Einstein’s epistemology of geometry should, in spite of his rhetorical appeal to Helmholtz and Poincaré, be understood in the wake the Riemannian tradition and of its aftermath in the work of Levi-Civita, Weyl, Eddington, and others.
An Efficient Hierarchical-Reduction Architecture for Aggregation in Route Travel Time Estimation

Route travel time estimation (RTTE) is crucial in intelligent transportation systems. Performing aggregation is a fundamental operation in RTTE and is widely used in the traffic prediction and route calculation stages. Observations have revealed that aggregation operations in RTTE are influenced by the road network structure and aggregation requests, resulting in irregular data access, redundant processing, and workload imbalance. Existing architectures have not addressed these issues effectively. In this study, we begin by characterizing the execution pattern of performing aggregation operations on an Intel Core CPU. Guided by these characterizations, we propose an aggregation accelerator that utilizes a hierarchical reduction architecture (HRA) to perform aggregations in RTTE efficiently. Specifically, we construct an inverted table based on the road network and aggregation requests. Building upon the concept of hierarchical reduction, we design an HRA to accelerate aggregation operations which reduces irregular data access and eliminates redundant processing. Additionally, we introduce a reconfiguration mode for HRA to mitigate workload imbalance issues. Compared to a benchmark method executed on an Intel Core CPU, our design achieves an average <inline-formula><tex-math notation="LaTeX">$10\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>10</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="liu-ieq1-3292841.gif"/></alternatives></inline-formula> speedup.
Couple stress effects on the MHD oscillatory flow in a fluid‐saturated porous layer

In this paper, the oscillatory flow of hydromagnetic couple stress fluid‐saturated porous layer with inhomogeneous wall temperatures is studied. The flow is modeled using the modified Darcy equation. The fluid is subjected to a transverse magnetic field and the velocity slip at the lower plate is taken into deliberation. The governing coupled partial differential equations of the flow are transformed to coupled ordinary differential equations and are solved analytically. The impact of the physical parameters such as the Grashof number, Prandtl number, Darcy number, Hartmann number, and couple stress parameters on velocity profiles, temperature, rate of heat transfer, and skin friction are emphasized. The velocity field increased as either the Grashof number, the Darcy number, the suction/injection parameter, and Prandtl number increased nevertheless reverse growth can be seen by increasing the Hartmann number and the couple stress parameter. The temperature field in the channel increases with increasing the suction/injection parameter and Prandtl number but a conflicting development can be seen with increasing the oscillation amplitude. It is interesting to note that skin friction increases on both channel plates as injection increases on the heated plate.