Miracle-dz/UniFAR-FTUs huggingface dataset:
MODELLING JOINT AUTOREGRESSIVE MOVING AVERAGE PROCESSES

This thesis explores Joint Autoregressive Moving-Average (JARMA) models for independent replicated univariate time series with common ARMA coefficients whose innovations variances are either in common, unique to each series or vary with the series mean. The constraint of a common variance is also applied to vector ARMA processes. Interleaving is shown to represent replicated series with a common variance as one series from the same process. The time and frequency domain properties of interleaved replicated stationary and invertible processes are established. As an aid to identification, hypothesis tests for comparing series are reviewed and several new tests are presented and explored along with a graphical method for identification. Unconditional maximum likelihood estimates of the parameters of various JARMA processes are derived using the methods of joint likelihood and interleaving. The properties of the estimators are examined using simulation and asymptotics. Finally JARMA models are fitted to over 60 years of daily univariate and bivariate temperature data to estimate differences in level due to location and climate change.
Case example of a jail-based cancer prevention clinical trial: Social determinants of health framework, novel experimental design, and retention strategies to facilitate long-term follow-up of clinical trial participants

Abstract Clinical trials conducted with incarcerated populations are rare. We present a case example of one such jail-based cancer prevention clinical trial to demonstrate the importance of including a theory-driven approach to intervention framing, novel experimental designs to boost access to low-risk trials, and retention strategies for long-term follow-up of hard-to-reach populations. As such we offer a social determinant of health framework to ensure cancer prevention research is conducted through the lenses of health promotion and health equity. Deviations from the gold-standard randomized control design, transparent systematic allotment, and street-based outreach retention strategies contribute to the feasibility of conducting clinical trials in carceral settings and after people leave jail. Best practices presented can be used in design and conduct of future clinical trials with criminal legal system-involved populations.
Relationships between Learners’ Communication Styles, Self-efficacy, Sympathetic Tendency, and Academic Achievement in EFL Context

The study aims to reveal effective variables in English as a foreign language learning achievement by focusing on the relationships among communication styles, self-efficacy, and sympathetic tendency. By doing so, learners are identified better and stakeholders are enabled to make more fruitful lesson plans. Furthermore, applying more suitable techniques is possible to facilitate or promote English learning by developing and widening the English Language Teaching area. There aren't any relationships between four styles of communication and academic achievement in English. Moreover, there is no significant relationship between academic achievement in English and self-efficacy levels (r = -.01, p > .05). No significant relationship between academic achievement in English and the sympathetic tendencies of participants hasn’t been found (r = .06, p > .05). On the other hand, there is a positive, weak, and significant relationship between assertive behavior levels and self-efficacy levels (r = .09, p < .05). There is a statistically significant, negative, and weak relationship between passive behavior levels and self-efficacy levels (r = -.08, p < .05). No significant relationship can be found between concealed aggressive behavior levels and self-efficacy levels (r = .01, p > .05). There is a positive, weak, and significant relationship between openly aggressive behavior levels and self-efficacy levels (r = .10, p < .05). There is no significant relationships between communication style levels and sympathetic tendency levels (r = .01, p > .05). There is no significant relationship between self-efficacy levels and sympathetic tendency levels of the participants (r = -.08, p > .05).
DLSC: Distributed Multi-Agent Trajectory Planning in Maze-Like Dynamic Environments Using Linear Safe Corridor

This article presents an online distributed trajectory planning algorithm for a quadrotor swarm in a maze-like dynamic environment. We utilize a dynamic linear safe corridor to construct the feasible collision constraints that can ensure interagent collision avoidance and consider the uncertainty of moving obstacles. We introduce mode-based subgoal planning to resolve deadlock faster in a complex environment using only previously shared information. For dynamic obstacle avoidance, we adopt heuristic methods such as collision alert propagation and escape point planning to deal with the situation where dynamic obstacles approach the agents clustered in a narrow corridor. We prove that the proposed algorithm guarantees the feasibility of the optimization problem for every replanning step. In an obstacle-free space, the proposed method can compute the trajectories for 60 agents on average 7.66 ms per agent with an Intel i7 laptop and shows the perfect success rate. Also, our method shows 64.5<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> shorter flight time than buffered Voronoi cell and 34.6<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> shorter than with our previous work. We conduct the simulation in a random forest and maze with four dynamic obstacles, and the proposed algorithm shows the highest success rate and shortest flight time compared to state-of-the-art baseline algorithms. In particular, the proposed algorithm shows over 97<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> success rate when the velocity of moving obstacles is below the agent's maximum speed. We validate the safety and robustness of the proposed algorithm through a hardware demonstration with ten quadrotors and two pedestrians in a maze-like environment.
Modalities of Faculty Engagement with the Scholarship of Teaching and Learning

This article reports on a mixed-methods study examining the ways in which faculty and staff engage with the Scholarship of Teaching and Learning (SoTL) at a medium-sized research-intensive university in southern Ontario, Canada. Survey data was collected from fifty-six faculty and staff respondents, along with eight faculty completing follow-up semi-structured interviews. We found respondents used multiple engagement modalities to stay informed on SoTL literature, carry out SoTL research, and disseminate their findings. Barriers to SoTL participation include lack of dedicated time, limited formal SoTL training, and inexperience with different disciplinary norms found in SoTL articles. Participants emphasized the importance of collaborative SoTL inquiry, highlighting in particular the benefits of partnering with students on scholarly projects. Additionally, participants underscored the importance of implementing evidence-based teaching strategies. Our findings mirror trends in the literature regarding SoTL engagement activities, barriers to participation, and faculty perceptions of SoTL. This study contributes novel insight into the ways faculty choose to engage with SoTL and common obstacles, as well as suggestions for how teaching and learning centers can use engagement data to better support faculty and staff SoTL scholars.
A Full Replicas-Based Data Store Scheme Inspired by Targeted Immunization of the Epidemic Theory in Smart Manufacturing

Cloud data centers (CDCs) have been used as the basic platforms for data storage in industrial scenarios such as smart manufacturing. However, a lack of effective data storage schemes exacerbates reading latency and replicas' inconsistency in the machine tools of smart factories. In this article, we propose a full-replicas scheme (FRS) to attain the low-latency reading and high data consistency required in smart manufacturing. First, inspired by the susceptible–infectious–recovered epidemic model, the network bandwidth usage generated by the FRS is adjusted by the targeted immunization principle. Then, the final breakout rate is derived as a function of the immunization rate, which can reduce the complexity of target immunization implementation in scale-free networks. Finally, the experimental results confirm our theoretical analysis and show that the FRS provides strong consistency with lower client-side reading latency.
Integrated methods for fingerprinting of monofloral honeys

Abstract Honey is an important functional food due to its content of polyphenolic compounds with beneficial effects on human body. The analysis of polyphenolic compound in honey is very promising in determination of floral origin and so for quality control. This study approaches a new methodology using integrated methods for the determination of honey authenticity. Polyphenolic compounds from seven different types of monofloral honey from two different sources were extracted and analyzed by thin layer chromatography (TLC) and UV-Vis spectroscopy. Chromatographic analysis was performed on TLC Silica gel 60 RP-18 F254 plates using a mobile phase consisting in a mixture of methanol: water: formic acid (5: 5: 0.1, v/v/v). The images from the TLC analysis were processed and the obtained chromatograms together with the UV-Vis deconvoluted spectra of honey were subjected to visual and statistical analysis. The obtained results showed notable differences between the honey samples, which can be used to establish their floral origin and for their authentication. The proposed methodology is easy to perform, cost-effective and offers complementary information, therefore it has the potential of being used for the honey authentication. GRAPHICAL ABSTRACT
Botrytis cinerea induced phytonutrient degradation of strawberry puree: effects of combined preservation approaches with high hydrostatic pressure and synthetic or natural antifungal additives

ABSTRACT Fungi can thrive in strawberries, mainly Botrytis cinerea, which causes relevant fruit losses. Moreover, thermal preservation results in phytonutrient losses. This study evaluated the effects of high hydrostatic pressure (HHP, 0, 400, and 600 MPa/5 min) processing with potassium sorbate (PS) or avocado seed acetogenins (ASA) on the nutritional, microbiological, and physicochemical properties of strawberry puree inoculated with Botrytis cinerea. Sole inoculation reduced L-ascorbic acid (L-AA, 84%) and total ascorbic acid (TAA, 38%). Instrumental color Hue angles were reduced from 35.0 to 29.4°, likewise the contents of pelargonidin−3-glucoside (25%) and ellagic acid (38%). Both HHP-PS treated samples contained no viable conidia and high TAA; the no-preservative and HHP-ASA (661 µg/mL, 400 MPa/5 min) purees contained high TAA but had viable conidia, which can induce further phytonutrient losses. HHP and antifungal additives maintained ellagic acid, increased pelargonidin−3-glucoside contents, and inactivated conidia, strengthening the value of combined non-thermal technologies for the preservation of strawberry puree
Thermal Performance of a Dual-Channel, Helium-Cooled, Tungsten Heat Exchanger

Helium-cooled, refractory heat exchangers are now under consideration for first wall and divertor applications. These refractory devices take advantage of high temperature operation with large delta-Ts to effectively handle high heat fluxes. The high temperature helium can then be used in a gas turbine for high-efficiency power conversion. Over the last five years, heat removal with helium was shown to increase dramatically by using porous metal to provide a very large effective surface area for heat transfer in a small volume. Last year, the thermal performance of a bare-copper, dual-channel, helium-cooled, porous metal divertor mock-up was evaluated on the 30 kW Electron Beam Test System at Sandia National Laboratories. The module survived a maximum absorbed heat flux of 34.6 MW/m2 and reached a maximum surface temperature of 593 °C for uniform power loading of 3 kW absorbed on a 2-cm2 area. An impressive 10 kW of power was absorbed on an area of 24 cm2. Recently, a similar dual-module, helium-cooled heat exchanger made almost entirely of tungsten was designed and fabricated by Thermacore, Inc. and tested at Sandia. A complete flow test of each channel was performed to determine the actual pressure drop characteristics. Each channel was equipped with delta-P transducers and platinum resistance temperature devices (RTDs) for independent calorimetry. One mass flow meter monitored the total flow to the heat exchanger, while a second monitored flow in only one of the channels. The thermal response of each tungsten module was obtained for heat fluxes in excess of 5 MW/m2 using 50 °C helium at 4 MPa. Fatigue cycles were also performed to assess the fracture toughness of the tungsten modules. A description of the module design and new results on flow instabilities are also presented.
Quantitative analysis of time-resolved microwave conductivity data

Flash-photolysis time-resolved microwave conductivity (fp-TRMC) is a versatile, highly sensitive technique for studying the complex photoconductivity of solution, solid, and gas-phase samples. The purpose of this paper is to provide a standard reference work for experimentalists interested in using microwave conductivity methods to study functional electronic materials, describing how to conduct and calibrate these experiments in order to obtain quantitative results. The main focus of the paper is on calculating the calibration factor, K, which is used to connect the measured change in microwave power absorption to the conductance of the sample. We describe the standard analytical formulae that have been used in the past, and compare them to numerical simulations. This comparison shows that the most widely used analytical analysis of fp-TRMC data systematically under-estimates the transient conductivity by ~60%. We suggest a more accurate semi-empirical way of calibrating these experiments. However, we emphasize that the full numerical calculation is necessary to quantify both transient and steady-state conductance for arbitrary sample properties and geometry.
Maximum Hands-Off Distributed Control for Consensus of Multiagent Systems with Sampled-Data State Observation

In this paper, we propose a distributed control algorithm for the consensus of multiagent systems with first- and second-order dynamics via sampled-data state observation. Our consensus scheme is based on the maximum hands-off control. It is a control that maximizes the time duration on which the control is exactly zero among the feasible controls. Such a control can stop actuators for a long time duration and reduce fuel or electricity consumption. We give theorems that guarantee the feasibility of the proposed consensus scheme and characterize the proposed distributed control in a closed form. We illustrate the effectiveness of the proposed control by simulation.
Skills in Solving Mathematical Problems in the Statistics Subject Using Interactive Multimedia in Grade VI of Elementary School

Problem-solving skills are one that students shall have in learning mathematics. To assist students in developing problem-solving skills, Information and Communication Technology (ICT) may be used, one of which is interactive multimedia. Therefore, this research aims to use interactive multimedia to describe students' mathematical problem-solving skills in statistics at the elementary school level. This research uses descriptive qualitative research with a case study model. Research subjects aged 11-12 years in collecting data, the researcher used an instrument for performance indicators and then strengthened interviews (unstructured) with educators and students. Then analyzed using an In this study, researchers used the theory of Miles and Huberman. Overall, the analysis of students' problem-solving skills is already very skilled. It has been proven that almost all students achieve performance indicators, namely, capable of understanding the problems presented, carrying out solution planning, solving problems according to plan indicators, and conducting re-examinations to re-examine them. This research implies that teachers can apply interactive multimedia to increase student activity in learning.
Nonlinear analytical flame models with amplitude-dependent time-lag distributions

In the present work, we formulate a new method to represent a given Flame Describing Function by analytical expressions. The underlying idea is motivated by the observation that different types of perturbations in a burner travel with different speeds and that the arrival of a perturbation at the flame is spread out over time. We develop an analytical model for the Flame Describing Function, which consists of a superposition of several Gaussians, each characterised by three amplitude-dependent quantities: central time-lag, peak value and standard deviation. These quantities are treated as fitting parameters, and they are deduced from the original Flame Describing Function by using error minimisation and nonlinear optimisation techniques. The amplitude-dependence of the fitting parameters is also represented analytically (by linear or quadratic functions). We test our method by using it to make stability predictions for a burner with well-documented stability behaviour (Noiray's matrix burner). This is done in the time-domain with a tailored Green's function approach.
Constraining Precipitation Susceptibility of Warm-, Ice-, and Mixed-Phase Clouds with Microphysical Equations

AbstractThe strength of the effective anthropogenic climate forcing from aerosol–cloud interactions is related to the susceptibility of precipitation to aerosol effects. Precipitation susceptibility d lnP/d lnN has been proposed as a metric to quantify the effect of aerosol-induced changes in cloud droplet number N on warm precipitation rate P. Based on the microphysical rate equations of the Seifert and Beheng two-moment bulk microphysics scheme, susceptibilities of warm-, mixed-, and ice-phase precipitation and cirrus sedimentation to cloud droplet and ice crystal number are estimated. The estimation accounts for microphysical adjustments to the initial perturbation in N. For warm rain, d lnP/d lnN < −2aut/(aut + acc) is found, which depends on the rates of autoconversion (aut) and accretion (acc). Cirrus sedimentation susceptibility corresponds to the exponent of crystal sedimentation velocity with a value of −0.2. For mixed-phase clouds, several microphysical contributions that explain low precipitati.
IFRS adoption and audit delay: the case of the large French listed companies

Abstract Listed French companies in European regulated markets were required to present their consolidated accounts using the international financial reporting standards (IFRS) from 1 January 2005. This study investigates the impact of this adoption on audit delay, which is the number of days from a company’s fiscal year-end to the date of its auditor’s report. The sample used in this paper is a panel of 69 French firms over a period of 6 years (2002-2007). Data was gathered from the SBF 250 index. The fixed effects regression results show that the transition to IFRS is associated with a significant increase in audit timeliness. This significant rise in audit delay occurred only in 2005, but was not found during the post-IFRS period. This paper proved the complexity of the IFRS and thus auditors required more hours in performing their audit engagement. The contribution of this study is to investigate an audit report in a developed capital market (listed French firms) by taking advantage of access to proprietary data on audit delay and audit fees. Keywords: IFRS, Audit delay, French firms, complexity.
Assessment of Different Circulating Tumor Cell Platforms for Uveal Melanoma: Potential Impact for Future Routine Clinical Practice

Liquid biopsy and circulating tumor cell (CTC) screening has gained interest over the last two decades for detecting almost all solid malignancies. To date, the major limitation in terms of the applicability of CTC screening in daily clinical practice is the lack of reproducibility due to the high number of platforms available that use various technologies (e.g., label-dependent versus label-free detection). Only a few studies have compared different CTC platforms. The aim of this study was to compare the efficiency of four commercially available CTC platforms (Vortex (VTX-1), ClearCell FX, ISET, and Cellsearch) for the detection and identification of uveal melanoma cells (OMM 2.3 cell line). Tumor cells were seeded in RPMI medium and venous blood from healthy donors, and then processed similarly using these four platforms. Melan-A immunochemistry was performed to identify tumor cells, except when the Cellsearch device was used (automated identification). The mean overall recovery rates (with mean recovered cells) were 39.2% (19.92), 22.2% (11.31), 8.9% (4.85), and 1.1% (0.20) for the ISET, Vortex (VTX-1), ClearCell FX, and CellSearch platforms, respectively. Although paramount, the recovery rate is not sufficient to assess a CTC platform. Other parameters, such as the purpose for using a platform (diagnosis, genetics, drug sensitivity, or patient-derived xenograft models), reproducibility, purity, user-friendliness, cost-effectiveness, and ergonomics, should also be considered before they can be used in daily clinical practice and are discussed in this article.
The Influence of Principal Leadership and Work Motivation on Teacher Performance at Elementary School

Teacher performance or work performance is the result achieved by the teacher in carrying out the tasks assigned to him based on skills, experience and sincerity as well as the use of time. The other is including the lack of teacher motivation in teaching and doing their job, the lack of teacher dedication to advancing the school and assisting students in achieving both in competitions and in the Olympics. Besides, an unsupportive work climate, lack of teacher discipline, and there are still many teachers who do not make preparations in teaching are also found in the field. This study uses a descriptive correlational research method with a quantitative approach. The population of this study were teachers of State Elementary Schools 10, 12, 23, and 35 totaling 44 people. The sampling technique in this study used a saturated sample, so all the population of 44 teachers was the sample. The results of this study, partially or individually there is the influence of the principal's leadership on teacher performance at SDN Rupat District.