Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of the Atlantic Multidecadal Oscillation on South American Atmosphere Dynamics and Precipitation

The Atlantic Multidecadal Oscillation (AMO) is coherently linked to climate variations over many parts of the globe. Despite recent achievements, the mechanism by which the AMO influences regional precipitation over South America is not well understood. In this study, we isolate the atmospheric response to the AMO using a water isotope-enabled version of the Community Earth System Model version 1.2 (iCESM1.2) and determine its influence on (sub)tropical South American regional precipitation and atmospheric circulation. The results suggest an interhemispheric seesaw in Hadley circulation strength and that the section of the Atlantic Hadley cell is marked by a stronger upward air component south of the equator during the cold AMO phase. We also find that the precipitation anomalies over (sub)tropical South America during AMO phases are mainly related to changes in the Atlantic Intertropical Convergence Zone (ITCZ) core strength, where in the cold (warm) AMO phase the core region strengthens (weakens) from February to July, while from July to November the core region weakens (strengthens). Our results stress the importance of acknowledging the dynamics of season- and regional-dependent ITCZ responses, as they are sufficient to produce observed AMO-related signals even in the absence of marked changes in the ITCZ position.
On War: The Dynamics of Vicious Civilizations

The dynamics of “vicious”, continuously growing civilizations (domains), which engage in “war” whenever two domains meet, is investigated. In the war event, the smaller domain is annihilated, while the larger domain is reduced in size by a fraction ǫ of the casualties of the loser. Here ǫ quantiﬁes the fairness of the war, with ǫ = 1 corresponding to a fair war with equal casualties on both side, and ǫ = 0 corresponding to a completely unfair war where the winner suﬀers no casualties. In the heterogeneous version of the model, evolution begins from a speciﬁed initial distribution of domains, while in the homogeneous system, there is a continuous and spatially uniform input of point domains, in addition to the growth and warfare. For the heterogeneous case, the rate equations are derived and solved, and comparisons with numerical simulations are made. An exact solution is also derived for the case of equal size domains in one dimension. The heterogeneous system is found to coarsen, with the typical cluster size growing linearly in time t and the number density of domains decreases as 1 /t . the homogeneous system, two diﬀerent long-time behaviors arise as a function of ǫ . When 1 / 2 < ǫ ≤ 1 (relatively fair wars), a steady state arises which is characterized by egalitarian competition between domains of comparable size. In the limiting case of ǫ = 1, rate equations which simultaneously account for the distribution of domains and that of the intervening gaps are derived and solved. The steady state is characterized by domains whose age is typically much larger than their size. When 0 ≤ ǫ < 1 / 2 (unfair wars), a few “superpowers” ultimately dominate. Simulations indicate that this coarsening process is characterized by power-law temporal behavior, with non-universal ǫ -dependent exponents. Some of these features are captured by a deterministic self-similar model, for which the characteristic exponents can be computed easily. The transition point ǫ = ǫ c = 1 / 2 is characterized by slower than power-law coarsening.
Modified BaMnO3-Based Catalysts for Gasoline Particle Filters (GPF): A Preliminary Study

Gasoline engines, mainly gasoline direct injection engines (GDI) require, in addition to three-way catalysts (TWC), a new catalytic system to remove the formed soot. Gasoline Particle Filters (GPF) are, among others, a possible solution. BaMnO3 and copper-doped BaMnO3 perovskites seem to be a feasible alternative to current catalysts for GPF. The physical and chemical properties of these two perovskites determining the catalytic performance have been modified using different synthesis routes: (i) sol-gel, (ii) modified sol-gel and iii) hydrothermal. The deep characterization allows concluding that: (i) all samples present a perovskite-like structure (hexagonal), except BMC3 which shows a polytype one (due to the distortion caused by copper insertion in the lattice), and ii) when a low calcination temperature is used during synthesis, the sintering effect decreases and the textural properties, the reducibility and the oxygen mobility are improved. The study of soot oxidation simulating the hardest GDI scenarios reveals that, as for diesel soot removal, the best catalytic performance involves the presence of oxygen vacancies to adsorb and activate oxygen and a labile Mn (IV)/Mn (III) redox pair to dissociate the adsorbed oxygen. The combination of both properties allows the transport of the dissociated oxygen towards the soot.
AI-Supported Comprehensive Detection and Quantification of Biomarkers of Subclinical Widespread Diseases at Chest CT for Preventive Medicine

Automated image analysis plays an increasing role in radiology in detecting and quantifying image features outside of the perception of human eyes. Common AI-based approaches address a single medical problem, although patients often present with multiple interacting, frequently subclinical medical conditions. A holistic imaging diagnostics tool based on artificial intelligence (AI) has the potential of providing an overview of multi-system comorbidities within a single workflow. An interdisciplinary, multicentric team of medical experts and computer scientists designed a pipeline, comprising AI-based tools for the automated detection, quantification and characterization of the most common pulmonary, metabolic, cardiovascular and musculoskeletal comorbidities in chest computed tomography (CT). To provide a comprehensive evaluation of each patient, a multidimensional workflow was established with algorithms operating synchronously on a decentralized Joined Imaging Platform (JIP). The results of each patient are transferred to a dedicated database and summarized as a structured report with reference to available reference values and annotated sample images of detected pathologies. Hence, this tool allows for the comprehensive, large-scale analysis of imaging-biomarkers of comorbidities in chest CT, first in science and then in clinical routine. Moreover, this tool accommodates the quantitative analysis and classification of each pathology, providing integral diagnostic and prognostic value, and subsequently leading to improved preventive patient care and further possibilities for future studies.
Training on Emotional Intelligence for Caregivers of Patients with Acquired Brain Injury and Cognitive Impairment: A Quasi-Experimental Study

Background: Cognitive-behavioral alterations can occur after an acquired brain injury (ABI). Objectives: To develop and evaluate a synchronous online training program on emotional intelligence (EI) for the caregivers of adult patients with cognitive-behavioral impairment due to ABI. Methods: Quasi-experimental study. Ten caregivers attended a one-month virtual synchronous course about EI. The emotional status of the caregivers was registered one-month-previous and one-month-post program using comparative measures: The Trait Meta-Mood Scale (TMMS-24), the Positive and Negative Affect Schedule (PANAS), Caregiver Burden Interview, the 10-item Connor-Davidson Resilience Scale, and the Emotional Health Survey. Results: After the training course, the favorable changes related to emotional affect measured with the PANAS questionnaire were found; both positive (increase; Mdn = 39.5; effect size −12.79; adjusted variance 95.75) and negative (decrease; Mdn = 14.5; effect size 0.73; adjusted variance 95.50) presented a statistical significance of p < 0.05. The TMMS-24 post-test showed that 90% of the caregivers reported an adequate or excellent emotional repair (p < 0.05; effect size −0.68; adjusted variance 94.75). No other significant differences were found. Conclusions: After this training in EI, the caregivers had a more positive mood and improved aspects of their emotional intelligence, such as emotional regulation. More studies need to be conducted.
Restoring quasireversibility with a single topological charge

We numerically study a rotating Bose-Einstein condensate placed transiently over the critical rotation frequency i.e. in a regime where the rotation frequency is larger than the radial frequency of the confinement. We study the reversibility of this process depending on the strength of the interactions and the presence of vortices. We find that the reversibility is broken by the interactions in the absence of vortices but systematically quasi-restored in the presence of a single vortex.
Optimal Gait Switching: Using Max-plus Linear Systems

Animals change the way they walk depending on the type of terrain or how fast they move. Taking inspiration from nature, it is reasonable to think that robots should change their locomotion patters, also called "gaits", depending on their environment or the objectives of their tasks. Recently, a discrete event system (DES) model description for legged locomotion has been developed, this model is based on events, where the events describe each leg touch down and liftoff. By describing the relation between the touchdown and lift-off events of the different legs a gait is generated. This DES model can be described in the max-plus linear algebra as a linear model. Gait switches are simply done by changing system matrices, the max-plus algebra then ensures that the robot remains stable during the gait switch by forcing some of the legs to move slower over the ground. By doing this, the order in which the legs move can be changed to that of the new gait, while ensuring enough legs are on the ground to avoid falling. However, very little research has been done on the optimization of these gait switches. The goal of this thesis is to find optimal gait switches using the max-plus linear model. An optimal gait switch in this thesis is considered as a gait transition where the difference in speed of the legs on the ground during the gait switch is as small as possible. In order to find the optimal gait switches the steady state behaviour of the gaits created with this model are analyzed. This is done by looking at the properties of the matrix that describes the gait. These properties are the eigenvalue and the eigenvector, which represent the cycle time and order in which the events happen. First an eigenvalue and eigenvector are found for the system. Then, by proving that the matrix is irreducible and that the critical graph of that matrix consists of a single strongly connected subgraph one can show that this eigenvalue and eigenvector are unique. This in turn means the steady state behaviour for these gaits is uniquely defined. The steady state behaviour between different gaits can then be analysed by comparing the eigenvectors of the gaits. The difference between the eigenvectors can then be used as a measure of optimality. By minimizing the difference between the eigenvectors an optimal gait switch is found. Master of Science Thesis B Kersbergen
Classification of extremely metal-poor stars: absent region in A(C)-[Fe/H] plane and the role of dust cooling

Extremely metal-poor (EMP) stars are the living fossils with records of chemical enrichment history at the early epoch of galaxy formation. By the recent large observation campaigns, statistical samples of EMP stars have been obtained. This motivates us to reconsider their classification and formation conditions. From the observed lower-limits of carbon and iron abundances of Acr(C) ~ 6 and [Fe/H]cr ~ -5 for C-enhanced EMP (CE-EMP) and C-normal EMP (CN-EMP) stars, we confirm that gas cooling by dust thermal emission is indispensable for the fragmentation of their parent clouds to form such low-mass, i.e., long-lived stars, and that the dominant grain species are carbon and silicate, respectively. We constrain the grain radius r_i^{cool} of a species i and condensation efficiency f_{ij} of a key element j as r_C^{cool}/f_{C, C} = 10 um and r_Sil^{cool}/f_{Sil, Mg} = 0.1 um to reproduce Acr(C) and [Fe/H]cr, which give a universal condition 10^{[C/H]-2.30} + 10^[Fe/H] > 10^{-5.07} for the formation of every EMP star. Instead of the conventional boundary [C/Fe] = 0.7 between CE- and CN-EMP stars, this condition suggests a physically meaningful boundary [C/Fe]_{b} = 2.30 above and below which carbon and silicate grains are dominant coolants, respectively.
Anomalous slowing down of individual human activity due to successive decision-making processes

Motivated by a host of empirical evidences revealing the bursty character of human dynamics, we develop a model of human activity based on successive switching between an hesitation state and a decision-realization state, with residency times in the hesitation state distributed according to a heavy-tailed Pareto distribution. This model is particularly reminiscent of an individual strolling through a randomly distributed human crowd. Using a stochastic model based on the concept of anomalous and non-Markovian L\'evy walk, we show exactly that successive decision-making processes drastically slow down the progression of an individual faced with randomly distributed obstacles. Specifically, we prove exactly that the average displacement exhibits a sublinear scaling with time that finds its origins in: (i) the intrinsically non-Markovian character of human activity, and (ii) the power law distribution of hesitation times.
Cole‐Hopf Transformations for Higher Dimensional Burgers Equations With Variable Coefficients

Cole‐Hopf transformations for two and three dimensional Burgers equations with variable coefficients are reported. Like in the derivation of Cole‐Hopf transformation, while changing the Burgers equation to its potential form, if we set the function of integration equal to zero, then only a specific form of Cole‐Hopf transformation (CHT‐1) is obtained. If we dispense with this procedure and take the function of integration into consideration then Cole‐Hopf transformation is more general and it includes CHT‐1 as a special case. Cole‐Hopf transformations for systems which consists of the two‐dimensional Burgers equation and Burgers or its potential version are also derived. Further, CHT for three‐dimensional Burgers equation is stated without proof.
Formation of UHMWPE Nanofibers during Solid-State Deformation

A network of nanofibers is formed in situ through solid-state deformation of disentangled ultra-high molecular weight polyethylene (dis-UHMWPE) during compounding with a polyolefin elastomer below the melting temperature of dis-UHMWPE crystals. Dis-UHMWPE was prepared in the form of powder particles larger than 50 μm by polymerization at low temperatures, which favored the crystallization and prevention of macromolecules from entangling. Shearing the blend for different durations and at different temperatures affects the extent to which the grains of dis-UHMWPE powder deform into nanofibers. Disentangled powder particles could deform into a network of nanofibers with diameters between 110 and 340 nm. The nanocomposite can be further sheared for a longer time to decrease the diameter of dis-UHMWPE nanofibers below 40 nm, being still composed of ≈70 wt. % of crystalline and ≈30 wt. % of amorphous components. Subsequently, these thinner fibers begin to melt and fragment because they are thinner and also because the amorphous defects locally decrease the nanofibers’ melting temperature, which results in their fragmentation and partial loss of nanofibers. These phenomena limit the thickness of dis-UHMWPE nanofibers, and this explains why prolonged or more intense shearing does not lead to thinner nanofibers of dis-UHMWPE when compounded in a polymeric matrix.
Evidence of Help-Seeking Behaviors Among Black Women Under Community Supervision in New York City: A Plea for Culturally Tailored Intimate Partner Violence Interventions

Background: Black women involved in the legal system disproportionately experience intimate partner violence (IPV); however, current research does not satisfactorily describe the risk and protective factors associated with IPV among Black women under community supervision. Methods: We conducted a subgroup analysis of Black women (N = 128) using data from a randomized controlled trial that evaluated the feasibility and efficacy of two IPV screening and prevention programs for women under community supervision. Participants in the original study were randomized into two IPV prevention conditions—computerized or case manager Women Initiating New Goals of Safety (WINGS). In this study, we examine the effects of that study's two conditions on linkage to IPV services and secondary outcomes, specifically among Black participants who experienced physical, sexual, and psychological IPV. Results: Both conditions showed significant reductions in days of substance use abstinence over the 3-month period among Black women who experienced sexual or verbal IPV. Participants in the case manager arm were 14 times more likely to receive IPV services in the past 90 days—from baseline to the 3-month follow-up (adjusted odds ratio = 14.45, 95% confidence interval [CI] = 1.25 to 166.51, p = 0.032). Participants in the computerized arm were significantly more likely to report receiving social support from baseline to the 3-month follow-up assessment (regression coefficient [b] = 2.27, 95% CI = 0.43 to 4.11, p = 0.015). Conclusions: Although both conditions showed significant reductions in the number of days of abstinence from substance use among this subgroup of Black women, the findings showed differential effectiveness between the computerized WINGS arm and the case manager WINGS arm in improving social support and linkage to services. These findings may indicate that different modalities of WINGS may work better for specific activities and point to the need for a hybrid format that optimizes the use of distinct modalities for delivering activities.
Implementation of the Texas Community-Engaged Statewide Consortium for the Prevention of COVID-19

The Community Engagement Alliance (CEAL) Against COVID-19 Disparities aims to conduct community-engaged research and outreach. This paper describes the Texas CEAL Consortium’s activities in the first year and evaluates progress. The Texas CEAL Consortium comprised seven projects. To evaluate the Texas CEAL Consortium’s progress, we used components of the RE-AIM Framework. Evaluation included estimating the number of people reached for data collection and education activities (reach), individual project goals and progress (effectiveness), partnerships established and partner engagement (adoption), and outreach and education activities (implementation). During the one-year period, focus groups were conducted with 172 people and surveys with 2107 people across Texas. Partners represented various types of organizations, including 11 non-profit organizations, 4 academic institutions, 3 civic groups, 3 government agencies, 2 grassroots organizations, 2 faith-based organizations, 1 clinic, and 4 that were of other types. The main facets of implementation consisted of education activities and the development of trainings. Key recommendations for future consortiums relate to funding and research logistics and the value of strong community partnerships. The lessons learned in this first year of rapid deployment inform ongoing work by the Texas CEAL Consortium and future community-engaged projects.
The viscous evolution of circumstellar discs in young star clusters

Stars with circumstellar discs may form in environments with high stellar and gas densities that affects the discs through processes like truncation from dynamical encounters, ram pressure stripping, and external photoevaporation. Circumstellar discs also undergo viscous evolution that leads to disc expansion. Previous work indicates that dynamical truncation and viscous evolution play a major role in determining circumstellar disc size and mass distributions. However, it remains unclear under what circumstances each of these two processes dominates. Here, we present results of simulations of young stellar clusters taking viscous evolution and dynamical truncations into account. We model the embedded phase of the clusters by adding leftover gas as a background potential that can be present through the whole evolution of the cluster, or expelled after 1 Myr. We compare our simulation results to actual observations of disc sizes, disc masses, and accretion rates in star-forming regions. We argue that the relative importance of dynamical truncations and the viscous evolution of the discs changes with time and cluster density. Viscous evolution causes the importance of dynamical encounters to increase in time, but the encounters cease soon after the expulsion of the leftover gas. For the clusters simulated in this work, viscous growth dominates the evolution of the discs.
Crossing disciplines ‐ A view on two‐dimensional optical spectroscopy

Recent interest in the role of quantum mechanics in the primary events of photosynthetic energy transfer has led to a convergence of nonlinear optical spectroscopy, condensed matter and quantum physics on the topic of energy‐transfer dynamics in pigment‐protein complexes. The convergence of these communities has unveiled a mismatch between the background and terminology of the respective fields. To make connections, a pedagogical guide to understanding the basics of two‐dimensional spectra is provided aimed at researchers with a background in quantum mechanics and condensed matter.
Relativistic gravitation theory for the MOND paradigm

The modified newtonian dynamics (MOND) paradigm of Milgrom can boast of a number of successful predictions regarding galactic dynamics; these are made without the assumption that dark matter plays a significant role. MOND requires gravitation to depart from Newtonian theory in the extragalactic regime where dynamical accelerations are small. So far relativistic gravitation theories proposed to underpin MOND have either clashed with the post-Newtonian tests of general relativity, or failed to provide significant gravitational lensing, or violated hallowed principles by exhibiting superluminal scalar waves or an \textit{a priori} vector field. We develop a relativistic MOND inspired theory which resolves these problems. In it gravitation is mediated by metric, a scalar field and a 4-vector field, all three dynamical. For a simple choice of its free function, the theory has a Newtonian limit for nonrelativistic dynamics with significant acceleration, but a MOND limit when accelerations are small. We calculate the $\beta$ and $\gamma$ PPN coefficients showing them to agree with solar system measurements. The gravitational light deflection by nonrelativistic systems is governed by the same potential responsible for dynamics of particles. To the extent that MOND successfully describes dynamics of a system, the new theory's predictions for lensing by that system's visible matter will agree as well with observations as general relativity's predictions made with a dynamically successful dark halo model. Cosmological models based on the theory are quite similar to those based on general relativity; they predict slow evolution of the scalar field. For a range of initial conditions, this last result makes it easy to rule out superluminal propagation of metric, scalar and vector waves.