Miracle-dz/UniFAR-FTUs huggingface dataset:
Selective Resource Offloading in Cloud-Edge Elastic Optical Networks

With the rapid development of Internet of Things (IoT), IoT mobile devices host more computation-intensive and real-time applications, such as face recognition, online gaming, and augmented reality/virtual reality services. This article mainly addresses the problems of the selective resource offloading in order to achieve resource optimization in cloud-edge elastic optical networks (CE-EONs). We firstly propose two integer linear program (ILP) models to minimize both the end-to-end (E2E) latency and the total number of frequency slots by considering the latency sensitivity, followed by introducing three corresponding heuristic approaches, namely resource priority offloading (RPO), distance priority offloading (DPO), and coordinated distance and resource offloading (DRO). For comparison, we also introduced an existing resource offloading (ERO) approach in CE-EONs. On one hand, simulation results show that the DRO approach greatly approximated to the optimized solutions of ILP models in the static traffic scenario. Meanwhile, the DRO approach achieves the better performance in terms of average E2E latency. On the other hand, the proposed DRO approach can significantly reduce the blocking probability owing to much improved spectrum efficiency and achieves a graceful tradeoff between the computing resources and E2E latency compared to the RPO, DPO, and ERO approaches in the dynamic traffic scenario.
The Contribution of Leadership Behaviour to the Performance of Selected Ethiopian Sports Federations

The purpose of this study was to investigate the relationship between leadership behaviour and performance of selected Ethiopian sports federations. The researcher used a mixed-methods sequential explanatory design. The population of the study from sport federations employee aimed to fill questionnaire was (N = 126) and selected using availability sampling technique. Leaders from both federation for the purpose of interview was (N = 6) selected using snowball sampling technique. The quantitative data analysis was processed using IBM SPSS Amos 23.0 software. Structural equation modelling (SEM) has been used to study this relationship. Confirmatory Factory Analysis (CFA) was used to test the hypothesis between leadership behaviour and performance observed variables and their underlying latent constructs exist. The finding of study found that there was a positive correlation between leadership behaviour and performance of selected sport federations. The Selected Ethiopian Sports Federations was recommended to provide the performance appraisal of their employees that aimed to improve the organization performance.
3D energy deposition measurements with the GEMPix detector in a water phantom for hadron therapy

In this paper we present 3D measurements of the energy deposition by a clinical carbon ion beam in a water phantom. Conventionally, these measurements are performed with an array of ionization chambers and used for quality assurance. The spatial resolution is typically not better than 5 mm. We used the GEMPix, a gaseous detector with a highly pixelated readout and much better spatial resolution. The GEMPix was obtained by coupling a triple Gas Electron Multiplier (GEM) to a quad Timepix ASIC with 512×512 pixels and 55 μm pitch. The Bragg curve, 2D images of the beam and a 3D reconstruction of the energy deposition are obtained from a single depth scan performed in approximately 15 minutes. A separate linearity check was also performed. The detector response is well linear and the measured Bragg curve is very smooth with uncertainties of a few percent. 3D energy deposition measurements in a water phantom with the GEMPix provide better spatial resolution than conventional devices. Systematic differences in the Bragg curve in comparison to the reference one are still too large for clinical use but work on several improvements is on-going.
Reprogrammable logic in memristive crossbar for in-memory computing

Memristive stateful logic has emerged as a promising next-generation in-memory computing paradigm to address escalating computing-performance pressures in traditional von Neumann architecture. Here, we present a nonvolatile reprogrammable logic method that can process data between different rows and columns in a memristive crossbar array based on material implication (IMP) logic. Arbitrary Boolean logic can be executed with a reprogrammable cell containing four memristors in a crossbar array. In the fabricated Ti/HfO2/W memristive array, some fundamental functions, such as universal NAND logic and data transfer, were experimentally implemented. Moreover, using eight memristors in a 2 × 4 array, a one-bit full adder was theoretically designed and verified by simulation to exhibit the feasibility of our method to accomplish complex computing tasks. In addition, some critical logic-related performances were further discussed, such as the flexibility of data processing, cascading problem and bit error rate. Such a method could be a step forward in developing IMP-based memristive nonvolatile logic for large-scale in-memory computing architecture.
Estimation of Sediment Concentration Using Sediment Rating Curve Approach in Isser Watershed (North-West of Algeria)

This paper was elaborated in order to estimate suspended sediment in Isser watershed located in North-West of Algeria. Power functions models by least squares regression were developed to establish rating curves. In total, 2026 pairs of instantaneous water discharge ( Q ) and instantaneous suspended sediment concentration ( C ) from the period 1988–1989 to 2003–2004 were used. In order to reveal the temporal impact, four subdivision data are elaborated: all, annual, seasonal and monthly scales. Better estimation of the total suspended sediment yield was obtained by application of the power linear model in monthly division data (-0.16%). When considering efficiency, both models with seasonal scale offered coefficients in order of 0.95%. The approach of correction for models did not improve accuracy of the estimation. The results have indicated for the 16 years of the available data, that the Isser watershed has drained a total of 194.37 million m 3 of water and 1.4 million tons of suspended sediments, with a specific degradation of 77 tons/km²/year.
Psychometric Properties of the Persian Version of the Early Life Experiences Scale (ELES)

Background: Early relationships with parents and their influence on the development of psychopathology have been a topic of interest from different theoretical approaches. Early-life experiences have long-term distributive effects on children’s psychological and behavioral development. Objectives: The present study aimed to determine the validity and reliability of the Early Life Experiences Scale (ELES). Methods: For developing the Persian version of the ELES, the original scale was translated, reconciled, and back-translated. A sample of 231 students from Iran University of Medical Sciences selected by convenience sampling method in 2019 - 2020 responded to the questionnaires, namely the ELES, Difficulties in Emotion Regulation Scale (DERS), Schizotypal Trait questionnaire-B form (STB), and Self-compassion Scale (SCS) Short-Form. The construct validity of the ELES was determined via confirmatory factor analysis and divergent and convergent validity. Internal consistency and test-retest reliability (two-week interval) were applied to evaluate the reliability. Data analysis was performed using LISREL (version 8.80) and SSPS (version 20) software. Results: The results showed that the ELES is a reliable and valid tool with good internal consistency and test-retest reliability (> 0.70). Concerning convergent validity, ELES showed a significant positive correlation with DERS (r = 0.26) and STB (r = 0.37). It also showed a significant negative relationship with self-compassion (r = 0.45), which indicates the desired divergent validity. The results support the three-factor structure of this scale (submissiveness, feeling valued/unvalued, and feeling threatened) (comparative fit index (CFI): 0.96, normed fit index (NFI): 0.95, root mean square error of approximation (RMSEA): 0.08). Conclusions: The early life experiences scale showed adequate validity and reliability and can be applied in evaluating early life experiences in the Iranian population.
Crack Size and Undermatching Effects on Fracture Behavior of a Welded Joint

Crack size and undermatching effects on fracture behavior of undermatched welded joints are presented and analyzed. Experimental and numerical analysis of the fracture behavior of high-strength low-alloyed (HSLA) steel welded joints with so-called small and large crack in undermatched weld metal and the base metal was performed, as a part of more extensive research previously conducted. J integral was determined by direct measurement using special instrumentation including strain gauges and a CMOD measuring device. Numerical analysis was performed by 3D finite element method (FEM) with different tensile properties in BM and WM. Results of J-CMOD curves evaluation for SUMITEN SM 80P HSLA steel and its weld metal (WM) are presented and analyzed for small and large cracks in tensile panels. This paper is focused on some new numerical results and observations on crack tip fields and constraint effects of undermatching and crack size keeping in mind previously performed experiments on the full-scale prototype. In this way, a unique combined approach of experimental investigation on the full-scale proto-type and tensile panels, as well as numerical investigation on mismatching and crack size effects, is achieved.
Letting AI make decisions for me: an empirical examination of hotel guests’ acceptance of technology agency

Purpose This study aims to examine hotel guests’ acceptance of technology agency – the extent to which they would let artificial intelligence (AI)-based systems make decisions for them when staying in hotels. The examination was conducted through the prism of several antecedents of acceptance of technology agency, including perceived ethics, benefits, risks and convenience orientation. Design/methodology/approach A thorough literature review provided the foundation of the structural model, which was tested using confirmatory factor analysis, followed by structural equation modeling. Data were collected from 400 US hotel guests. Findings The most important determinant of acceptance of technology agency was perceived ethics, followed by benefits. Risks of using AI-based systems to make decisions for consumers had a negative impact on acceptance of technology agency. In addition, perceived loss of competence and unpredictability had relatively strong impacts on risks. Research limitations/implications The results provide a conceptual foundation for research on systems that make decisions for consumers. As AI is increasingly incorporated in the business models of hotel companies to make decisions, ensuring that the decisions are perceived as ethical and beneficial for consumers is critical to increase the utilization of such systems. Originality/value Most research on AI in hospitality is either conceptual or focuses on consumers’ intentions to stay in hotels that may be equipped with AI technologies. Occupying a unique position within the literature, this study discusses the first time AI-based systems that make decisions for consumers. The value of this study stems from the examination of the main concept of technology agency, which was never examined in hospitality.
Contribution to algorithmic strategies for solving coupled thermo-mechanical problems by an energy-consistent variational approach

Sources of thermo-mechanical coupling in visco-elastic materials are various: viscous dissipation, dependence of material characteristics on temperature, and so on. Numerical simulation of these kinds of coupling can be challenging especially when strong coupling effects are present. Various algorithmic approaches have been proposed in the literature for this type of problem, and fall within two alternative strategies: Monolithic (or simultaneous) approaches that consists of resolving simultaneously mechanical and thermal balance equations, where time stepping algorithm is applied to the full problem of evolution. In this case, using implicit schemes always lead to unconditional stability. Staggered approaches in which the coupled system is partitioned and each partition is treated by a different time stepping algorithm. The goal is to obtain a good compromise between the following aspects: precision, stability and computational cost. Monolithic schemes have the reputation of being unconditionally stable, but they may lead to impossibly large systems, and do not take advantage of the different time scales involved in the problem, and often lead to non-symmetric formulations. Staggered schemes were designed to overcome these drawbacks, but unfortunately, they are conditionally stable (limited in time step size). Recently, a new variational formulation of coupled thermo-mechanical boundary value problems has been proposed, allowing to write mechanical and thermal balance equations under the form of an optimisation problem of a scalar energy-like functional. This functional is analysed in the framework of a thermo-visco-elastic strongly coupled problem, considering at first a simplified problem, and then a more general 2D and 3D case. The variational approach has many advantages, in particular the fact that it leads to a symmetric numerical formulation has been exploited in deriving alternative optimization strategies. These various algorithmic schemes were tested and analysed aiming to find the one that exhibits the best computational costs.
Scattering and Absorption of Ultracold Atoms by Nanotubes

A coupling of an atomic quantum system to a mesoscopic solid-state object constitutes a so called hybrid quantum system. The present thesis focuses on a fundamental hybrid quantum system consisting of ultracold atoms interacting with a cylindrical geometry. A thorough understanding of the scattering process gives insight into the underlying physics and thus promotes a deeper understanding of nanowire-based hybrid systems of higher complexity.
Forgiveness Therapy: Improving Parents' Forgiving Ability in Adolescent Divorce Victims in Orphanages

This study aims to decide the effectiveness of the effect of forgiveness therapy to increase the ability of forgiveness in adolescent victims of divorce in orphanages. The research design used was a single group pretest posttest design. The research subjects were 25 adolescents in Ruhama Orphanages that all included into experimental group. Forgiveness ability is measured using the heartland forgiveness scale developed by Thompson et al. Data analysis used the Wilcoxon with the help of the Statistical Package for Social Science (SPSS) version 26.0 for windows. The results of the analysis used the Wilcoxon test which compared the forgiveness ability scores in the experimental group between before and after the treatment showed a value of Z = -0.514 and p = 0.607 (p > 0.05) which means that there were no differences in forgiveness ability scores before and after being given the forgiveness therapy so there was no significant increasing forgiveness ability after being given the forgiveness therapy
Concentration and competition in U.S. agribusiness

This report details issues surrounding market concentration in agribusiness, particularly in three agribusiness sectors where concentration has increased over time: seeds, meatpacking, and food retail. Market concentration and its impact on competition have attracted growing public scrutiny. Critics argue that many industries have grown too concentrated, with fewer firms competing with one another and a consequent weakening of competition. The report covers the consolidation in each of these industries, explains the driving forces behind increased concentration, and examines public policies aimed at encouraging competition, focusing on the implementation of merger policy.
Evaluation of the effect of melatonin in patients with Burning mouth syndrome: a double-blind, placebo-controlled randomized clinical trial

The present study was carried out to evaluate the effect of Melatonin and Placebo in the patient with the Burning mouth (BMs). This double-blind, placebo-controlled randomized clinical trial study was carried out on 30 patients who were suffering from BMS. During this period patients were divided into 2 study and control groups. The study group used four 3 mg Melatonin daily and the control group received a placebo. Then the severity of the burning sensation was measured by the physician Sleep quality was measured using the VAS scale using the Petersburg questionnaire. Data in the application Enter SPSS 20 and then using T test or equivalent Nonparametric was analyzed, mean sleep score and mean severity of oral irritation before and after treatment in two the group was evaluated using T-test Independent. Level significance was considered 0.05. The results of the present study show that the use of melatonin and a placebo in patients with BMS reduces sensation and improves their sleep quality, although it may not reduce it completely. In this study severity of burning was 4.93±2.56 after treatment in the study group and 6.93±2.12 in the control group, which was statistically significant (P =0.036). No significant difference was observed between the two groups in the sleep quality score (P-value = 0.43). Using Melatonin can be a reliable way to treat pain for which there is no standard treatment to date. Although evidence suggests an association between sleep disorders and BMS, melatonin was not superior to a placebo in reducing BMS-induced burning in the present study. Identification of stressors and the ways to struggle with them, further studies with larger samples and higher oral doses, extended follow-up periods and control of psychological factors, and measurement of body mass index that may affect pharmacokinetics are recommended.
ONLINE LEARNING PERCEPTION DURING COVID-19 PANDEMIC VIEWED FROM HIGH SCHOOL STUDENTS

The purpose of this study was to investigate SMA and SMK students' perceptions of online learning. Secondly, to examine whether the two schools differ greatly and to describe their perception of online learning based on their perceptions. There were 133 participants, comprising 61 SMA students and 72 SMK students. The data was collected using Likert scale questionnaires and an interview. To analyze the data, the authors carried out descriptive and inferential analyzes of the quantitative data, while a qualitative thematic analysis was used. The finding of the study shows that there was a significant difference in the perception of online learning between SMA and SMK students. The high perception was obtained from SMA students, while medium perception was showed by SMK students. Based on the thematic analysis, it showed that SMK students encountered more difficulties in attending online learning classes compared with SMA students.
Contribution to the modelling and the parametric estimation of determinantal point processes

This manuscript is devoted to the study of determinantal point processes (DPPs) and their parametric estimation. These processes are known to be well adapted to inhibitive point patterns, where the points tend to repel each others. In the first chapter, we study the flexibility of this model by suggesting two definitions of the repulsiveness, both based on the second order moments of the process, namely the pair correlation function (pcf) g. This leads us to identify the most repulsive DPP. Then, we introduce new parametric families of DPPs that cover a large range of DPPs, from the stationary Poisson process to the most repulsive DPP. In the second chapter, we prove that stationary DPPs are Brillinger mixing. This property allows us to deduce asymptotic results on several statistics. Namely, we prove a central limit theorem for a wide class of functionals of order p of the process and we adapt to DPPs some results already known on kernel estimators of the function g of Brillinger mixing point processes. Finally, in the last chapter we study the minimum contrast estimation based on the Ripley’s K-function and the pcf g. We prove the consistency and the asymptotic normality of these methods for stationary DPPs. In particular, we obtain an explicit form of the asymptotic variance. These results are in fact particular cases of a more general theorem dealing with the asymptotic properties of minimum contrast estimation for stationary point processes that we state and prove in this chapter.
Effects of gas dynamics on the evolution of young embedded star clusters

Facultad de Ciencias Físicas y Matemáticas Departamento de Física Effects of Gas Dynamics on the Evolution of Young Embedded Star Clusters by Juan Pablo Farías It is known that almost all stars form in clusters, associations or groups inside molecular clouds. However, just a few of the star clusters older than ∼ 5 Myr are still associated with their natal gas. This and the fact that we do not see only clusters in the sky leads us to think that gas expulsion is the principal reason for the destruction of these young clusters. We examine the response of initially substructured star clusters to instantaneous gas expulsion. We model the background gas using three different treatments: Utilizing static and spherical background potentials, a dynamically live Plummer sphere of gas, and performing star formation simulations to obtain a filamentary background gas from which stars are formed. We focus on the effects of gas dynamics in the pre-gas-expulsion phase and study the state of these clusters at the moment of gas expulsion to see if it is possible to estimate the final bound mass that clusters can retain after gas expulsion. We study how the properties of the background gas as well as the stellar component affects the empirical trend between the bound fraction and the local stellar fraction (i.e. the fraction star mass inside the stellar half mass radius) found in previous studies. We find that this empirical trend is heavily affected by the dynamical state of the cluster when gas expulsion begins, and we developed a simple analytical model that describes how this trend changes. We also find that gravitational interactions between stars as well how the gas is distributed does not affect our ability to estimate the final bound mass. The distribution and shape of the background, as well the way the background gas is modeled, have big consequences in how star clusters “prepare” themselves to gas expulsion, i.e.,the pre-gas-expulsion evolution and thus the state of the clusters at the moment of gas expulsion is heavily affected by the background gas. We show that our analytical model is able to make estimations with a 10% of accuracy to instantaneous gas expulsion no matter the conditions of the cluster, and the most (equally) important factors that rules the response of a star cluster to gas expulsion are the local stellar fraction and the dynamical state of the clusters, both measured at gas expulsion time.