Miracle-dz/UniFAR-FTUs huggingface dataset:
Magnon interactions in the frustrated pyrochlore ferromagnet 
Yb2Ti2O7

The frustrated rare-earth pyrochlore ${\mathrm{Yb}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$ is remarkable among magnetic materials: despite a ferromagnetically ordered ground state it exhibits a broad, nearly gapless, continuum of excitations. This broad continuum connects smoothly to the sharp one-magnon excitations expected, and indeed observed, at high magnetic fields, raising the question: how does this picture of sharp magnons break down as the field is lowered? In this paper, we consider the effects of magnon interactions in ${\mathrm{Yb}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$, showing that their inclusion greatly extends the reach of spin-wave theory. First, we show that magnon interactions shift the phase boundary between the (splayed) ferromagnet (SFM) and the antiferromagnetic ${\mathrm{\ensuremath{\Gamma}}}_{5}$ phase so that ${\mathrm{Yb}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$ lies very close to it. Next, we show how the high-field limit connects to lower fields; this includes corrections to the critical fields for the [111] and $[1\overline{1}0]$ directions, bringing them closer to the observed experimental values, as well as accounting for the departures from linear spin-wave theory that appear in [001] applied fields below $3\mathrm{T}$ [Thompson et al., Phys. Rev. Lett. 119, 057203 (2017)]. Turning to low fields, though the extent of the experimentally observed broadening is not quite reproduced, we find a rough correspondence between nonlinear spin-wave theory and inelastic neutron scattering data on both a single-crystal sample as well as on a powder sample [Pe\ifmmode \mbox{\c{c}}\else \c{c}\fi{}anha-Antonio et al., Phys. Rev. B 96, 214415 (2017)]. We conclude with an outlook on implications for future experimental and theoretical work on ${\mathrm{Yb}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$ and related materials, highlighting the importance of proximity to the splayed ferromagnet-${\mathrm{\ensuremath{\Gamma}}}_{5}$ phase boundary and its potential role in intrinsic or extrinsic explanations of the low-field physics of ${\mathrm{Yb}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$.
Assessing Environmental Flow Targets Using Pre-Settlement Land Cover: A SWAT Modeling Application

Determining environmental flow requirements to sustain aquatic ecosystem health remains a challenge. The purpose of this research was to quantify the extent of current flow alterations relative to baseline hydrologic conditions of a simulated historic flow regime prior to anthropogenic flow disturbance (i.e., pre-settlement flows). Results allowed assessment of the efficacy of environmental flow targets based on pre-settlement land cover in a contemporary mixed-land-use catchment (i.e., urban, agricultural, and forested). Pre-settlement flows were simulated using the Soil and Water Assessment Tool (SWAT). Pre-settlement land cover, based on soil physical characteristics, was used to simulate pre-settlement flows with the SWAT model. Environmental flow targets were calculated for each flow element of a historic flow regime (magnitude, frequency, duration, timing, and rate of change). Urban (20% of watershed area) and agricultural development (42% of watershed area) were correlated to decreased median daily stream flow by 0.8 m3 s−1 (percent difference = −115%), increased maximum daily flow by 22 m3 s−1 (percent difference = 13%), and a 34% increase in daily flow variability. High flow frequency increased by 45–76% following development. Results highlight a need for consideration of environmental flow targets appropriate for watersheds already modified by existing land use, and point to a need for long-term, broad-scale, and persistent efforts to develop achievable environmental flow recommendations, particularly in rapidly urbanizing mixed-land-use watersheds.
DISEASE ACTIVITY IN ANKYLOSING SPONDYLITIS: SELECTION OF A CORE SET OF VARIABLES AND A FIRST STEP IN THE DEVELOPMENT OF A DISEASE ACnVITY SCORE

A large number of variables are available for the assessment of disease activity in ankylosing spondylitis (AS). The aim of this study was to evaluate the validity of commonly used variables, to select a core set of valid variables for disease activity and finally to compute an AS disease activity score (AS-DAS). Data from two longitudinal studies were used. Principal component analysis and reliability analysis resulted in 11 factors: cervical mobility, lumbar flexion, subjective complaints, functional index (FI), enthesis index (El), inflammatory response, IgA, IgM, root joints, swollen joints and spinal mobility. Based on discriminating power, reproducibility and correlation with disease duration, seven single variables were selected. In a subsequent discriminant analysis, an AS-DAS was computed of five variables, i.e. subjective complaints, FI, El, root joints and C-rcactive protein, which should be validated in the future. A core set of process variables solves the problem of multiple testing in clinical trials, and improves comparability.
The collisional drift wave instability in steep density gradient regimes.

The collisional drift wave instability in a straight magnetic field configuration is studied within a full-F gyro-fluid model, which relaxes the Oberbeck-Boussinesq (OB) approximation. Accordingly, we focus our study on steep background density gradients. In this regime we report on corrections by factors of order one to the eigenvalue analysis of former OB approximated approaches as well as on spatially localised eigenfunctions, that contrast strongly with their OB approximated equivalent. Remarkably, non-modal phenomena arise for large density inhomogeneities and for all collisionalities. As a result, we find initial decay and non-modal growth of the free energy and radially localised and sheared growth patterns. The latter non-modal effect sustains even in the nonlinear regime in the form of radially localised turbulence or zonal flow amplitudes.
Obfuscating Authorship: Results of a User Study on Nondescript, a Digital Privacy Tool

For those who write anonymously, particularly for safety reasons, authorship attribution poses a threat. Nondescript, my web app, guides writers in achieving stylometric obfuscation in order to preserve anonymity. The app runs simulations of authorship attribution scenarios by analyzing the user’s linguistic features. In this paper, I will describe the conception of the Nondescript app; discuss related work; and present the results of a user study. Most users in the study were able to anonymize their writing in at least 5 out of 10 authorship attribution scenarios. Users rated the anonymization process an average of 3.6 out of 5 in terms of ease of use. This work-in-progress project is situated in two domains: privacy technologies and computational linguistics. Introduction Stylometric analysis technologies are now so accurate that they are considered a biometric: like a thumbprint or an iris, personal writing style is unique enough that it is individually identifiable. For those who write anonymously, particularly for safety reasons, one application of stylometric analysis, authorship attribution, poses a threat. Many features considered in such an analysis, such as the frequency of function words and average sentence length, are indications of a writer’s unconscious but identifiable style. An author could take every privacy precaution to erase their identity, but without obfuscating their writing style, they risk de-anonymization in an authorship attribution scenario (Brennan et al.; Kacmacik and Gamon). While stylometric analysis results can certainly vary depending on input and features, the FBI considers it a possible biometric in their State-of-the-Art Biometric Excellence Roadmap (Wayman et al.). DARPA's Active Authentication Project also considers language use to be a biometric or a "cognitive fingerprint" alongside mouse use. Even without the backing of law enforcement or a defense agency, an advanced computer user can easily use basic stylometry technology to predict the identity of an anonymous author. Privacy advocates combat identification technologies by employing a variety of strategies, including obfuscation, in which deceptive tactics hide or scramble personally identifiable information. Style transformation can be a necessary and effective obfuscation technique in the face of a de-anonymization threat (Brunton and Nissenbaum; Day et al.). Some research has been done in machine-aided style transformation with synonyms (Khosmood and Levinson). A similar approach was taken with Anonymouth (McDonald et al.). Synonym replacement can also serve as a technique for generating bland, under-styled language that resists authorship attribution (Karadjov et al.). Other style transformation approaches include neural encoder-decoders, though they have limited success in human readability (Emmery et al.).
Q-Learning Algorithm for Joint Computation Offloading and Resource Allocation in Edge Cloud

The advent of 5G technology along with the high proliferation of mobile devices entail an explosion of mobile traffic. Due to their resource-limitation constraint, mobile devices resort to connect to Cloud servers so as to offload computational tasks and improve, hence, resource usage. Unfortunately, the conventional Mobile Cloud Computing (MCC) solution involves high transmission latency. Recently Mobile Edge Computing (MEC) is envisioned as a promising technique for enhancing the computation capacities of mobiles and reducing latency. The key insight of MEC is to push mobile computing and storage to the network edge (i.e., base stations and access points). The main challenge of MEC solution is to find an efficient assignment of tasks with local or edge devices, while minimizing energy consumption and latency. In this paper, we propose a new joint task assignment and resource allocation approach in a multi-user WiFi-based MEC architecture. The main novelty of our work is that optimal offloading decision is jointly performed with the radio resource allocation. The objective of our scheme is to minimize the energy consumption on the mobile terminal side under the application latency constraint. To do so, we first formulate the problem as a new online Reinforcement Learning problem while considering both delay and device computation constraints. Then, we propose a new strategy based on a Q-Learning algorithm, named QL-Joint Task Assignment and Resource Allocation (QL-JTAR) to solve it. Based on extensive simulations conducted in NS3 simulator and using real input traces, we show that our approach outperforms the related prominent strategies in terms of energy consumption and delay, while ensuring near-optimal solution.
High spatial resolution proteomic comparison of the brain in humans and chimpanzees Abbreviated title : Protein composition of human and chimpanzee brain

We performed high-throughput mass spectrometry at high spatial resolution from individual regions (anterior cingulate and primary motor, somatosensory, and visual cortices) and layers of the neocortex (layers III, IV, and V) and cerebellum (granule cell layer), as well as the caudate nucleus in humans and chimpanzees. A total of 39 mass spectrometry peaks were matched with probable protein identifications in both species, allowing for direct comparison in expression. We explored how the pattern of protein expression varies across regions and cortical layers to provide insights into the differences in molecular phenotype of these neural structures between species. The expression of proteins differed principally in a regionand layer-specific pattern, with more subtle differences between species. Specifically, human and chimpanzee brains were similar in their distribution of proteins related to the regulation of transcription and enzyme activity but differed in their expression of proteins supporting aerobic metabolism. While most work assessing molecular expression differences in the brains of primates has been performed on gene transcripts, this dataset extends current understanding of differential molecular expression that may underlie human cognitive specializations. Page 3 of 62 John Wiley & Sons Journal of Comparative Neurology This article is protected by copyright. All rights reserved.
Management of soil organic matter and carbon storage in tropical fruit crops

Com este trabalho objetivou investigar as mudancas na dinâmica e no estoque de carbono em solos agricolas. Amostras de solo foram coletadas de 0-10 cm e 10-30 cm, em duas areas agricolas (cultivo de banana (Musa spp) e cultivo de citros (Citrus sinensis). Um solo em floresta nativa foi utilizado como referencia e para determinacao do Indice de Manejo de Carbono (IMC). A materia orgânica do solo (MOS) foi fracionada fisicamente em particulada (MOP, > 53 Âµm) e complexada (MOC, < 53 Âµm). O carbono orgânico total (COT) foi analisado para caracterizar a MOS. Comparando com o solo em mata nativa o cultivo da banana aumentou o teor de carbono orgânico do solo (TOC) em aproximadamente 14% enquanto o cultivo de citros reduziu o teor de TOC em cerca de 38%. O cultivo de fruteiras reduziu a fracao particulada em mais de 50% mostrando uma velocidade de decomposicao maior dos residuos orgânicos. Os valores do Indice de Manejo de Carbono foram menores que 1 em todos os tratamentos; entretanto, foram observados os melhores resultados para o pomar de citros (116,5). No geral, a mudanca no uso da terra de mata nativa para culturas de frutas reduziu o teor de materia orgânica do solo, especialmente sua fracao labil, e a qualidade do solo.
Cortical Perfusion in Alcohol Dependent Individuals During Short-term Abstinence : Relationships to Resumption of Hazardous Drinking Following Treatment

Relapse to hazardous levels of alcohol consumption following treatment for an alcohol use disorders is common. Investigation of the neurobiological correlates of resumption of hazardous drinking is necessary to clarify the mechanisms contributing to relapse. Fifty-seven treatmentseeking alcohol dependent participants (ALC) completed arterial spin labeling perfusion MRI of the frontal and parietal gray matter (GM) at 7 ± 3 days of abstinence (baseline). ALC participants were restudied after 35 ± 11 days of abstinence (assessment point 2: AP2). Twenty-eight nonsmoking, light drinking controls (nsLD) from the community were studied with perfusion MRI. ALC Participants were followed over 12-months after baseline study and were classified as Abstainers (no alcohol consumption; n = 19) and Resumers (any alcohol consumption; n = 38) at follow-up. Cross-sectional and longitudinal perfusion was compared in Abstainers, Resumers and nsLD. At baseline Resumers demonstrated significantly lower frontal and parietal GM perfusion than nsLD and Abstainers. Abstainers and nsLD were not different on frontal or parietal GM perfusion. No significant longitudinal perfusion changes were observed in Abstainers and Resumers. At AP2, Resumers showed significantly lower frontal GM perfusion than nsLD and Abstainers, while no group differences were observed for parietal GM. Abstainers and nsLD were not different on frontal GM perfusion. The significantly decreased frontal GM perfusion in Resumers compared to both Abstainers and nsLD across the assessment interval suggests premorbid and/or acquired neurobiological abnormalities of the frontal GM in Resumers.
2 Discrete Maier-Saupe model with external fields

We propose a novel approach to the solution of nematic Liquid Crystal models based on the derivation of a system of nonlinear wave equations for order parameters such that the occurrence of uniaxial and biaxial phase transitions can be interpreted as the propagation of a two-dimensional shock wave in the space of thermodynamic parameters. We obtain the exact equations of state for an integrable model of biaxial nematic liquid crystals and show that the classical transition from isotropic to uniaxial phase in absence of external fields is the result of a van der Waals type phase transition, where the jump in the order parameters is a classical shock generated from a gradient catastrophe at a non-zero isotropic field. The study of the equations of state provides the first analytical description of the rich structure of nematics phase diagrams in presence of external fields.
Tilburg University Temperament dimensions in stuttering and typically developing children

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Weight-deviation Reduction in Dish-washing Liquid Packaging Process: A Case Study in a Consumer Products Industry

According to high competitive business, the production of high quality products at the lowest cost becomes business strategy. In this case study of a dish-washing liquid packaging process, the overweight and underweight fillings lead to the extra production costs in terms of raw materials consumed, give-away, rework, especially less customer confidence in the product. The production data indicated that 50 tons/month of the consumer products, mainly dish-washing liquid of about 40 tons, lost which cost 10,000 US$/month. Thus, the efficient control of product weight in the packaging process is significantly required. In this work, the QC tools (the Pareto Diagram, Cause and Effect Diagram) were applied. The Design of Experiments (DOE) by the Minitab Program and Why-Why Analysis were used to pinpoint the significant parameters of the weight deviation of dish-washing liquid during the packaging. Typically, controlling of weight deviation of dish-washing liquid by adjusting a few milliliters of the filling volume is difficult. Most dish-washing liquid manufacturers are looking for high accuracy scaling system, however, the constraint concerns its high cost. Based on the statistical analysis of product weight in this dish-washing liquid packaging process, it was found that the weight deviation from the target value was high. The highest standard deviation of the product weight was 2.36. Moreover, averagely within 8hour operating time there were 2,000 bottles on the pulled off-line after filling up. After preliminary modifications of the existing gravity filling machine and load cells, weight deviation of dish-washing liquid decreased resulting in cost saving. The detailed results and the improvements were achieved and stated inside.
Pricing temperature derivatives with a filtered historical simulation approach

ABSTRACT In this paper, we propose pricing temperature derivatives using a filtered historical simulation (FHS) approach that amalgamates model-based treatment of volatility and empirical innovation density. The FHS approach implicitly captures the risk premium with the entire risk-neutral model (except the innovation distribution), thereby providing significantly more flexibility than existing methods that use only one designated parameter to capture the risk premium. Additionally, instead of relying on the fitted innovation distribution, the FHS approach uses empirical innovations to capture excess skewness, excess kurtosis, and other non-standard features in the temperature data, all of which are important for the correct pricing of temperature derivatives. We apply the FHS approach to pricing derivatives written on the temperature of Chicago, and demonstrate that this approach yields better in-sample and out-of-sample pricing performance than the constant market price of risk method and the consumption-based method.
DOUBLE FIT : Optimization procedure applied 1 to lattice strain model 2 3

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. DOUBLE FIT: Optimization procedure applied to lattice strain model Célia Dalou, Julien Boulon, Kenneth Koga, Robert Dalou, Robert Dennen
Advanced level Spring term 2006 A fast protein-ligand docking method

In this dissertation a novel approach to protein-ligand docking is pres ented. First an existing method to predict putative active sites is employed. The se predictions are then used to cut down the search space of an algorithm that uses the fa t Fourier transform to calculate the geometrical and electrostatic c omplementarity between a protein and a small organic ligand. A simplified hydrophobicity scor e is also calculated for each active site. The docking method could be applied e ith r to dock ligands in a known active site or to rank several putative active si es according to their biological feasibility. The method was evaluated on a set of 310 p rotein-ligand complexes. The results show that with respect to docking the method w ith its initial parameter settings is too coarse grained. The results also show that ith respect to ranking of putative active sites the method works quite well.
Neuropsychological Pro fi les and Trajectories in Preclinical Alzheimer ’ s Disease

Objectives: The present study investigated the independent and synergistic effects of amyloid beta (Aβ1-42) and phosphorylated tau (Ptau) pathologies on neuropsychological profiles and trajectories in cognitively normal older adults. Methods: Alzheimer’s Disease Neuroimaging Initiative participants identified as cognitively normal at baseline underwent longitudinal assessment (N= 518; 0, 12, 24, 36 months), baseline lumbar puncture and follow-up cognitive exams. Cerebral spinal fluid (CSF) biomarker profiles (Aβ-Ptau-, Aβ+Ptau-, Aβ-Ptau+, Aβ+Ptau+) were compared on baseline profiles and trajectories for memory (Rey Auditory Verbal Learning Test), attention/executive function (Trail Making Test, A and B), language (Animal Fluency, Vegetable Fluency, Boston Naming Test) and processing speed (Digit Symbol) using multilevel models. Results: The Aβ+Ptau+ group exhibited significantly worse baseline performance on tests of memory and executive function relative to the Aβ-Ptau+ and Aβ-Ptaugroups. The Aβ+Ptaugroup fell between the Aβ+Ptau+ participants and the Aβ-Ptauand Aβ-Ptau+ groups on all three cognitive domains and exhibited worse baseline executive function. The Aβ-Ptau+ group performed worse than Aβ-Ptauparticipants on processing speed. Over 36-month follow-up, the Aβ+Ptau+ group exhibited the greatest declines in memory and semantic fluency compared to all other groups. Conclusions: Cognitively normal older adults with both Aβ and Ptau pathology exhibited the weakest profile, marked by the worst memory decline compared to the other groups. Other subtle changes in this group included declines in executive function and semantic fluency. Those with Ptau pathology alone showed slowed processing speed, and those with Aβ pathology alone showed worse attention and executive function compared to biomarker negative participants. (JINS, 2018, 24, 693–702)