Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Electrical-Thermal Co-Design Methodology for Analysis of High-Speed PCB Interconnects

This paper reports a novel co-design methodology for signal integrity analysis considering thermal effects. Our analysis focuses on practical high-speed interconnect topologies. To ensure reliable and efficient system design, we introduce an efficient electrical-thermal methodology (EEM) for high-speed PCB interconnects. Using our proposed EEM, we perform electrical-thermal co-simulation to ensure efficient design and performance.
InÉire: An Interpretable NLP Pipeline Summarizing Inclusive Policy Making Concerning Migrants in Ireland

Reaching marginal and other migrant communities to elicit their political views and opinions is a well-known challenge. Social media has enabled a certain amount of online activism and participation, especially in societies with abundant multicultural identities. However, it can be quite challenging to isolate the voice of the migrant in English-speaking countries, especially with an abundance of content in English on social media. In this paper, we pursue a case study of Ireland’s Twitter landscape, specifically migrant and native activists. We present a methodology that can accurately ( $>80\%$ ) isolate the Irish migrant voice with as little as 25 English tweets without relying on user metadata and using simple, highly explainable, out-of-the-box machine learning methods. Using this, we distil (via sentiment analysis) polarities of views, segment (via BERT-based topic modelling) and summarise (via ChatGPT) differentiated views in a consumable manner for policymakers. Our approach enables policymakers to further their understanding of multicultural communities and use this to inform their decision-making processes.
Characterising human exposure to organophosphate ester flame retardants

Concentrations of selected PFRs were determined in indoor dust from cars, couches, living rooms, offices, and school classrooms in Australia, Canada, Germany, Kazakhstan, and the UK. Significant differences were found between concentrations of PFRs in dust from different microenvironment categories in the same country. Assessment of human exposure via dust ingestion, revealed the majority of exposure to most PFRs occurs in the domestic environment. However, exposure to TDCIPP occurs primarily in cars, and a substantial proportion of the exposure of young children to EHDPP occurs in classrooms. Reassuringly, the exposure estimates in this study are at least 2 orders of magnitude below health based limit values reported in the literature. However, improved characterisation of exposure to TCIPP via inhalation is identified as a research priority. To address the substantial uncertainty in existing values reported for PFR vapour pressures, they were determined experimentally via the GC-RT method. For most target PFRs, results showed good overall agreement with the mean of experimental and \(in\) \(silico\) literature values. However, values for the chlorinated PFRs exceeded the average of literature values.
Innovative therapeutic strategies for cardiovascular disease

As a significant non-communicable disease, cardiovascular disease is the leading cause of death for both men and women, comprises almost twenty percent of deaths in most racial and ethnic groups, can affect greater than twenty-five million individuals worldwide over the age of twenty, and impacts global economies with far-reaching financial challenges. Multiple factors can affect the onset of cardiovascular disease that include high serum cholesterol levels, elevated blood pressure, tobacco consumption and secondhand smoke exposure, poor nutrition, physical inactivity, obesity, and concurrent diabetes mellitus. Yet, addressing any of these factors cannot completely eliminate the onset or progression of cardiovascular disorders. Novel strategies are necessary to target underlying cardiovascular disease mechanisms. The silent mating type information regulation 2 homolog 1 (Saccharomyces cerevisiae) (SIRT1), a histone deacetylase, can limit cardiovascular injury, assist with stem cell development, oversee metabolic homeostasis through nicotinamide adenine dinucleotide (NAD+) pathways, foster trophic factor protection, and control cell senescence through the modulation of telomere function. Intimately tied to SIRT1 pathways are mammalian forkhead transcription factors (FoxOs) which can modulate cardiac disease to reduce oxidative stress, repair microcirculation disturbances, and reduce atherogenesis through pathways of autophagy, apoptosis, and ferroptosis. AMP activated protein kinase (AMPK) also is critical among these pathways for the oversight of cardiac cellular metabolism, insulin sensitivity, mitochondrial function, inflammation, and the susceptibility to viral infections such as severe acute respiratory syndrome coronavirus that can impact cardiovascular disease. Yet, the relationship among these pathways is both intricate and complex and requires detailed insight to successfully translate these pathways into clinical care for cardiovascular disorders.
Effective Sample Based Space Vector Modulation Technique For Voltage Source Inverters

This paper presents a simplified sample-based space vector algorithm for reducing harmonic distortion in three-phase voltage source inverters. The proposed method controls harmonics in the output voltage by considering individual switching samples, rather than relying on sectors or conventional switching sequences. This approach allows for effective control of any disturbances in the source or load, resulting in improved output voltage control. It also enhances DC bus utilization and reduces high-frequency harmonics. The operating time of each sample at the fundamental frequency is determined based on the sample number and offset angle, calculated from the input and output voltage. Compared to existing schemes, this control method only requires adjustments in the offset angle and a simple microcontroller for operation. Therefore, it is an effective technique for harmonic elimination, offering reduced execution time and minimal control variables. To validate the simulation results, a 3 KVA prototype inverter was constructed, and the experimental results are presented.
MANAGING BISON TO RESTORE BIODIVERSITY

Prior to their demise in the late 1800s, bison coexisted with and helped sustain a diverse and spectacular assemblage of animals and plant communities on the Great Plains. Bison, in concert with fire, exerted strong control on the structure of the vegetation by grazing, trampling, and wallowing. The changes in the vegetation induced changes in many animal populations. These impacts, coupled with the bison's role as the major converter of grass to meat, so greatly affected other species that some have called bison a "keystone" species in the Great Plains ecosystem. The black-tailed prairie dog, dependent on bison grazing over a large part of the Great Plains, amplified the keystone influence of bison by its own grazing and burrowing activities and its utility as prey. Although modern bison-growing practices usually will preclude restoration of the large predators and scavengers that once were a part of the great faunal spectacle, other species can return, often even on small acreages. Maintenance of a habitat mosaic is the key to restoring some of the original biodiversity lost to the historic pursuit of singlespecies pastoralism.
Making a Connection： Social Media＇s Key Role in the Haiti Earthquake

The devastating earthquake in Haiti in January 2010 illustrates the key role played by online media in the rapid dissemination of information about natural disasters. Haiti's Internet connections helped inform the world about the death and destruction that resulted from the 7.0-magnitude earthquake. Social media, such as Twitter, Facebook and blogs, have now emerged as the quickest and most efficient way to disseminate information about natural disasters. This study examines the increasing role played by the Internet in disaster awareness and action, and shows that the Haitian earthquake marks a tipping point in the use of social media for the diffusion of news in a time of disaster.
Vision-Based Prescribed Performance Control for UAV Target Tracking Subject to Actuator Saturation

In this article, a vision-based prescribed performance control is proposed for an unmanned aerial vehicle (UAV) subject to actuator saturation to track an uncooperative target. It is supposed that states cannot be measured directly, and are estimated by a on-board camera. The proposed controller is designed within a backstepping framework, where an error transforming function and Barrier Lyapunov Function are applied, and a robust adaptive controller is designed to deal with initial conditions violating the prescribed performance. It is proven that, with the proposed controller, the tracking error converges into the prescribed performance boundary before the finite preset time.
Sums of Weighted Lattice Points of Polytopes

We study the problem of counting lattice points of a polytope that are weighted by an Ehrhart quasi-polynomial of a family of parametric polytopes. As applications one can compute integrals and maximum values of such quasi-polynomials, as well as obtain new identities in representation theory. These topics have been of great interest to Mich\`ele Vergne since the late 1980's. Our new contribution is a result that transforms weighted sums into unweighted sums, even when the weights are very general quasipolynomials. In some cases it leads to faster integration over a polytope. We can create new algebraic identities and conjectures in algebraic combinatorics and number theory.
Analysis and Review of Various Motors Used for Electric Vehicle Propulsion

The concern about the environmental pollution and exhausting fossil fuels by using combustion engines demanded the development of new drive systems. Though the emission levels has reduced to a some level by the use of hybrid vehicles, yet there is a desperate need for the development of purely electric vehicles which can ensure zero emissions. Hence it has become primary need to improve the motor performances to make them more efficient to use them as electric vehicle propulsion systems. In electric vehicles, motor is a key component that govern the weight, cost, efficiency, reliability, maintenance and performance of the electric vehicle. In this paper an analysis is made to review the capabilities of various existing motors like DC motor, BLDC motors, three phase induction motors, switched reluctance motor, permanent magnet synchronous motors that are used for EV propulsion.
Design of Fractional Order PID Controller Based Automatic Voltage Regulator System Using HarrisHawk Optimization Algorithm

The Fractional Order Proportional Integral Derivative (FOPID) Controller overcomes the other controllers in terms of its control capabilities and tuning adaptability. The basic role of this examination is to decide how best to utilize this idea while making automatic voltage regulator (AVR). But tuning process is more complicated due to FOPID's (and alone FOPID's) additional parameters (λ and µ). In this research, uses Harris Hawk optimization (HHO) technique is a nature-inspired algorithm that is based on the hunting behavior of Harris's Hawk approach, to solve the aforementioned issue. Gains in FOPID efficiency may be maximized by eliminating some kind of absolute error in integral time, or “Fitness Function,” and (IATE). MATLAB/SIMULINK is used to double-check the findings, which the findings of a comparison between the suggested HHO-based optimum AVR design and a previously published GBO-based optimal design of AVR demonstrate that the former delivers the superior dynamic response and increased stability.
States and Eventualities: How to Understand Savage Without Anyone Being Hanged

We discuss the notion of a state of the world in axiomatic decision theory, and argue that it should be viewed as an "eventuality" that is implicitly assumed to be independent of the process by which prefer- ences are observed. The distinction between states, which are assumed to resolve all uncertainty, and eventualities suggests certain limitations on the axiomatic approach for defining and measuring mental concepts (such as belief ) by observed choices
Using Student Achievement Data to Support Instructional Decision Making September 2009 Panel

The Institute of Education Sciences (IES) publishes practice guides in education to bring the best available evidence and expertise to bear on the types of challenges that cannot currently be addressed by a single intervention or program. Authors of practice guides seldom conduct the types of systematic literature searches that are the backbone of a meta-analysis, although they take advantage of such work when it is already published. Instead, authors use their expertise to identify the most important research with respect to their recommendations and conduct a search of recent publications to ensure that the research supporting the recommendations is up-to-date. Unique to IES-sponsored practice guides is that they are subjected to rigorous external peer review through the same office that is responsible for independent reviews of other IES publications. A critical task for peer reviewers of a practice guide is to determine whether the evidence cited in support of particular recommendations is up-to-date and that studies of similar or better quality that point in a different direction have not been ignored. Because practice guides depend on the expertise of their authors and their group decision making, the content of a practice guide is not and should not be viewed as a set of recommendations that in every case depends on and flows inevitably from scientific research. The goal of this practice guide is to formulate specific and coherent evidence-based recommendations for use by educators and education administrators to create the organizational conditions necessary to make decisions using student achievement data in classrooms, schools, and districts. The guide provides practical, clear information on critical topics related to data-based decision making and is based on the best available evidence as judged by the panel. Recommendations presented in this guide should not be construed to imply that no further research is warranted on the effectiveness of particular strategies for data-based decision making. Disclaimer The opinions and positions expressed in this practice guide are the authors' and do not necessarily represent the opinions and positions of the Institute of Education Sciences or the U.S. Department of Education. This practice guide should be reviewed and applied according to the specific needs of the educators and education agency using it, and with the full realization that it represents the judgments of the review panel regarding what constitutes sensible practice, based on the research available at the time of publication. This practice guide should be used …
Magnetic resonance imaging in the assessment of acute stroke

Introduction: Stroke is the second leading underlying cause of death globally and the leading cause of disability in adults. Stroke diagnosis should be performed quickly and efficiently to eliminate other potential causes of neurological deficits and to assess the time since the onset of clinical symptoms. Computed tomography (CT) and magnetic resonance imaging (MRI) are essential methods of detecting and evaluating stroke type and treatmentoptions. Diffusion and perfusion MR imaging is recommended for early stroke diagnosis, as well as for the selection of patients for recanalization therapy, and is considered effective in assessing treatment outcomes. The objectives of this study were to demonstrate the diagnostic value of diffusion and perfusion imaging in the diagnosis of acute ischemic stroke, analyze the role of magnetic resonance imaging in the selection of patients with acute stroke for recanalization therapy, and assess the effect of acute stroke complicity.Material and methods: The research is designed as a systematic review of the primary scientific research literature, which was published in English in relevant scientific databases (PubMed, Google Scholar, Medline) from 2014 to 2021.Results: 14 scientific research papers were singled out and the general characteristics of the study were analyzed (country, authors, year of publication, title of the study, type of study, study objectives, research methods, results and conclusion). A quality assessment of the included studies with cohort design and randomized controlled studies was performed, and most belong to the category of high-quality studies with a smaller number of medium-quality studies. The overall percentage of detected AIS cases in isolated studies using the DWI and/or PWI sequence was 90.8%. At the same time, the outcome of recanalization therapy was assessed using MRI studies (the number of patients who developed adverse events with functional data outcome 30 or 90 days after the procedure was observed). Comparison of MRI and CT imaging protocols provided data on the total percentage of detected acute stroke cases using CT imaging protocols (68.9%) and MRI imaging protocols (88.5%), which is why MRI is considered a superior method.Conclusion: Although CT is a suitable method for visualizing bleeding and also for early differentiation of hemorrhagic from ischemic stroke, if MRI imaging is available, it is recommended to use DWI, PWI, MRA sequences for a more accurate diagnosis of stroke in the acute phase.
Analysis of factors affecting the quality of life of patients with ulcerative colitis

Introduction. Ulcerative colitis (UC) is a non-specific inflammatory bowel disease of unknown aetiology. It is characterised by the presence of gastrointestinal and general symptoms that affect the daily functioning of the patient. Aim. The aim of the study was to analyse factors that influence the quality of life in patients with ulcerative colitis. Material and methods. The study was conducted in a group of 50 patients with ulcerative colitis, treated in the Department of General and Colorectal Medical Surgery in Łódź, and remaining under the care of a specialist Gastroenterological Outpatient Clinic at the University Hospital No. 1 in Łódź. The study was conducted as a diagnostic survey using a standardised SF-36v2 questionnaire as well as a questionnaire regarding demographic and clinical data. Results. Analysis of the obtained results showed reduced quality of life among respondents, especially during exacerbations. The respondents showed slightly lower mental functioning compared to physical functioning. The young age of respondents and higher education level significantly improve the quality of life. Conclusions. Chronic disease contributed to decreased quality of life of respondents. The quality of life for men and women was at a similar level. The quality of life improved during disease remission. Chronic intestinal and extraintestinal symptoms reduce the quality of life of patients.
Qualitative structures of a degenerate fixed point of a Ricker competition model

In this paper, we investigate the qualitative structures of a Ricker competition model near a degenerate fixed point with eigenvalues . Firstly, by the Takens's theorem, we asymptotically embed a reflection of the normal form in the flow of a vector field. Secondly, using the blowing-up method, we investigate the local phase portraits of the vector field near a degenerate equilibrium without the linear part. Lastly, applying the conjugacy between the model and the reflection of the time-one mapping of the vector field, we obtain the qualitative structures of this model. So, an open problem proposed in [S. Elaydi and R. Luís, Open problems in some competition models, J. Difference Equ. Appl. 17(12) (2011) 1873–1877] is answered.
ECONOMIC COMMISSION FOR LATIN AMERICA AND THE CARIBBEAN - ECLAC

1) The Working Group might want to consider the inclusion of some clear and delimiting definitions of the key concepts in the documents. Terms like “Information Society”, “information and communication technologies” and diverse “e-sectors” for example, so far lack a clear and commonly accepted definition and it might be a valuable outcome of the Summit to contribute to this end. If those terms are not clearly defined, but used in such a crucial document as the declaration of WSIS, they might even create more confusion and therefore rather hamper the trans ition toward the Information Society.
Measuring soccer players’ contributions to chance creation by valuing their passes

Abstract Scouting departments at soccer clubs aim to discover players having a positive influence on the outcomes of matches. Since passes are the most frequently occurring on-the-ball actions on the pitch, a natural way to achieve this objective is by identifying players who are effective in setting up chances. Unfortunately, traditional statistics such as number of assists fail to reveal players excelling in this area. To overcome this limitation, this paper introduces a novel metric that measures the players’ involvement in setting up chances by valuing the effectiveness of their passes. Our proposed metric identifies Arsenal player Mesut Özil as the most impactful player in terms of passes during the 2017/2018 season and proposes Ajax player Frenkie de Jong as a suitable replacement for Andrés Iniesta at FC Barcelona.
Observational calibration of the projection factor of Cepheids IV. Period-projection factor relation of Galactic and Magellanic Cloud Cepheids

We focus on empirically measure the p-factor of a homogeneous sample of 29 LMC and 10 SMC Cepheids for which an accurate average LMC/SMC distance were estimated from eclipsing binary systems. We used the SPIPS algorithm, which is an implementation of the BW method. As opposed to other conventional use, SPIPS combines all observables, i.e. radial velocities, multi-band photometry and interferometry into a consistent physical modeling to estimate the parameters of the stars. The large number and their redundancy insure its robustness and improves the statistical precision. We successfully estimated the p-factor of several MC Cepheids. Combined with our previous Galactic results, we find the following P-p relation: -0.08(log P-1.18)+1.24. We find no evidence of a metallicity dependent p-factor. We also derive a new calibration of the P-R relation, logR=0.684(log P-0.517)+1.489, with an intrinsic dispersion of 0.020. We detect an IR excess for all stars at 3.6 and 4.5um, which might be the signature of circumstellar dust. We measure a mean offset of $\Delta m_{3.6}=0.057$mag and $\Delta m_{4.5}=0.065$mag. We provide a new P-p relation based on a multi-wavelengths fit, and can be used for the distance scale calibration from the BW method. The dispersion is due to the MCs width we took into account because individual Cepheids distances are unknown. The new P-R relation has a small intrinsic dispersion, i.e. 4.5% in radius. Such precision will allow us to accurately apply the BW method to nearby galaxies. Finally, the IR excesses we detect raise again the issue on using mid-IR wavelengths to derive P-L relation and calibrate the $H_0$. These IR excesses might be the signature of circumstellar dust, and are never taken into account when applying the BW method at those wavelengths. Our measured offsets may give an average bias of 2.8% on the distances derived through mid-IR P-L relations.