Miracle-dz/UniFAR-FTUs huggingface dataset:
Maintenance of genetic diversity in Eucalyptus urophylla

Our aim was to verify the effect on gain and genetic diversity through the restriction of the number of trees per family in selection, in order to compose an elite population of Eucalyptus urophylla in two trials under distinct management levels. We studied 166 open-pollinated families of E. urophylla in Anhembi, Sao Paulo State, Brazil under commercial practices, and the same families in Selvíria, Mato Grosso do Sul State, Brazil under lower management level (mainly no mineral fertilization). Mortality, height and diameter at breast height (DBH) were measured. DBH was analyzed by the REML/BLUP to select the best 25 trees, with four levels of tree restriction per family (no restriction; 1; 2 and 3 per family). We evaluated heritability; genetic gain and effective size of number of total and private alleles; observed and expected heterozygosity; coancestry and fixation index. A large difference in survival (48 and 83 %) and productivity (MAI of 26 and 44 m3ha-1y-1) was observed between trials due to the different levels of management applied. The highest restriction in number of individuals per family caused a small decrease in gain, corresponding to 7 % in the more productive trial and 3 % in the less productive one. Observed and expected heterozygosity, coancestry and fixation index were not significantly (lower than 5 %) affected by the restriction in both sites. The restriction of one tree per family allowed different alleles to be kept in the selected population and higher effective population size in order to insure variation for the next generations. Maintenance of genetic diversity in Eucalyptus urophylla S. T. Blake populations with restriction of the number of trees per family 1 Instituto de Pesquisa e Estudos Florestais (IPEF), Via Comendador Pedro Morganti, 3500, Bairro Monte Alegre, CEP 13415-000, Piracicaba, São Paulo State, Brazil. 2 Universidade Estadual de São Paulo (UNESP/Botucatu), Rua José Barbosa de Barros, 1780, CP 237, CEP 18.603-970, Botucatu, São Paulo State, Brazil. 3 Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo, Avenida Pádua Dias, 11, CP 9, CEP 13418900, Piracicaba, São Paulo State, Brazil. 4 APSDGhana, Plot 27, Block 27, Nhyiaeso, Kumasi, Ghana. 5 Universidade Estadual de São Paulo (UNESP/Ilha Solteira), Av. Brasil Centro, 56, CP 31, CEP 15385-000, Ilha Solteira, São Paulo State, Brazil. 6 Instituto Florestal de São Paulo (IF), CP 1322, CEP 01059-970, São Paulo State, Brazil. 7 Universidade Estadual de São Paulo (UNESP/Jaboticabal), Via de Acesso Prof. Paulo Donato Castellane, km 5, CEP 14.884-900, Jaboticabal, São Paulo State, Brazil. * Corresponding author: P.H. M. Silva, E-mail: paulohenrique@ipef.br.
Iron Stress in Plants: Dealing with Deprivation and Overload

Iron (Fe) is an essential nutrient for plants and one of the most abundant elements in soils. However, it is nearly inaccessible to plants because of its poor solubility in aerobic conditions at neutral or basic pH, resulting in much lower concentrations than required for the optimal growth of plants. However, when Fe is taken up in excess of cellular needs, it becomes highly toxic, since both Fe and Fe can act as catalysts in the formation of hydroxyl radicals, which are potent oxidizing agents that may damage DNA, proteins and lipids. Plants must be able to sense and respond to Fe stress in terms of both Fe-deprivation and Fe-overload. Depending on the level of severity, plants are unable to deal with such stress and undergo dramatic changes in cellular metabolism with a sequential dismantling of cellular structures, resulting in growth inhibition and ultimately plant death. Therefore, plants must tightly regulate Fe levels within the cell to ensure that Fe is present at adequate levels. Here, we describe recent progress made in understanding how Fe is sensed by plants, and how plants are affected by and try to deal with non-optimal Fe concentrations. _____________________________________________________________________________________________________________
Eocene tectonics and depositional setting of west-central New Mexico and eastern Arizona

The deposits of the Baca and Carthage-La Joya basins record late Laramide (Eocene) sedimentation in the west-central New Mexico and eastern Arizona. Sedimentation in these basins was influenced by tectonism (both intrabasinal and in surrounding uplifts) and by the prevailing semiarid climate.A well-exposed facies tract through the central part of the Baca basin reveals a broad spectrum of depositional paleoenvironments. The braided alluvial-plain system, consisting of the deposits of coalesced humid alluvial fans, is widespread throughout the basin. Sedimentary structures present in these deposits indicate that discharge was increasingly flashy toward the basin center. Meanderbelt sedimentation was dominantly restricted to an actively subsiding, fault-bounded block in the eastern area. Lacustrine sedimentation occurred in small, floodplain lakes and in a large, shallow, closed lake near the eastern end of the basin. Cyclic progradation, abandonment, and subsidence of fine-grained deltas and fan deltas well out into the lake basins prevented development of extensive lacustrine basin-center deposits.Only rocks of the braided alluvial-plain system are present in the poorly preserved deposits of the Carthage-La Joya Basin. Updip retreat of facies tracts in both the Carthage-La Joya and Baca Basins reflects waning Laramide deformation in adjacent uplifts during late Eocene time.
CRITICAL CARE TRIAL DESIGN AND INTERPRETATION : A BRIEF PRIMER

Objective—Better understanding of the pathophysiology of critical illness has led to an increase in clinical trials designed to improve the clinical care and outcomes of patients with life threatening illness. Knowledge of basic principles of clinical trial design and interpretation will assist the clinician in better applying the results of these studies into clinical practice. Data Sources—We review selected clinical trials to highlight important design features that will improve understanding of the results of critical care clinical trials. Main Results—Trial design features such as patient selection, sample size calculation, and primary outcome measure may influence the results of a critical care clinical study. In conjunction with trial design knowledge, understanding the size of the anticipated treatment effect, the importance of any clinical endpoint achieved, and whether patients in the trial are representative of typical patients with the illness will assist the reader in determining whether the results should be applied to usual clinical practice. Conclusions—Better understanding of important aspects of trial design and interpretation, such as whether patients enrolled in both intervention arms were comparable and whether the primary outcome of the trial is clinically important, will assist the reader in determining whether to apply the findings from the clinical study into clinical practice.
Nasal systemic drug delivery

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Generation for Recommender Systems

Key to recommender systems is learning user preferences, which are expressed through various modalities. In online reviews, for instance, this manifests in numerical rating, textual content, as well as visual images. In this work, we hypothesize that modelling these modalities jointly would result in a more holistic representation of a review towards more accurate recommendations. Therefore, we propose Multimodal Review Generation (MRG), a neural approach that simultaneously models a rating prediction component and a review text generation component. We hypothesize that the shared user and item representations would augment the rating prediction with richer information from review text, while sensitizing the generated review text to sentiment features based on user and item of interest. Moreover, when review photos are available, visual features could inform the review text generation further. Comprehensive experiments on real-life datasets from several major US cities show that the proposed model outperforms comparable multimodal baselines, while an ablation analysis establishes the relative contributions of the respective components of the joint model. ACM Reference Format: Quoc-Tuan Truong and Hady W. Lauw. 2019. Multimodal Review Generation for Recommender Systems. In Proceedings of the 2019 World Wide Web Conference (WWW ’19), May 13–17, 2019, San Francisco, CA, USA. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3308558.3313463
Temperature-dependent magnetocrystalline anisotropy of rare earth/transition metal permanent magnets from first principles: The light 
RCo5 (R=Y, La-Gd)
 intermetallics

Computational design of more efficient rare earth/transition metal (RE-TM) permanent magnets requires accurately calculating the magnetocrystalline anisotropy (MCA) at finite temperature, since this property places an upper bound on the coercivity. Here, we present a first-principles methodology to calculate the MCA of RE-TM magnets which fully accounts for the effects of temperature on the underlying electrons. The itinerant electron TM magnetism is described within the disordered local moment picture, and the localized RE-4f magnetism is described within crystal field theory. We use our model, which is free of adjustable parameters, to calculate the MCA of the RCo$_5$ (R=Y, La-Gd) magnet family for temperatures 0--600 K. We correctly find a huge uniaxial anisotropy for SmCo$_5$ (21.3 MJm$^{-3}$ at 300 K) and two finite temperature spin reorientation transitions for NdCo$_5$. The calculations also demonstrate dramatic valency effects in CeCo$_5$ and PrCo$_5$. Our calculations provide quantitative, first-principles insight into several decades of RE-TM experimental studies.
CHARACTERIZATION OF DAMAGE BEHAVIOR IN MODIFIED BINDERS AT HIGH TEMPERATURES . MEASUREMENTS METHODOLOGIES AND RHEOMETRICAL ASPECTS

In order to obtain bitumen mechanical properties really connected with the performance of pavements in the field, recent developments in rheological characterization have focused on the evaluation of damage behavior in asphalt binders. With high service temperature, when more frequent distress is identified by rutting, the damage behavior of binders can be described by separating delayed elastic phenomena from non-reversible deformation. On the basis of this concept, a creep approach was introduced by the NCHRP project 9-10 and a similar one is now under development by CEN TC336. The experimental investigation presented in this paper focuses on the application of these test methods to modified and unmodified binders, and aims at highlighting the different laboratory conditions and theoretical assumptions at the basis of the creep analysis. The viscous component of creep compliance and low-shear viscosity of binders were determined under several conditions in order to provide a quantitative evaluation of the influence of rheometrical aspects on the measurements. Furthermore different results of the experimental program carried out can provide an initial comparison between the static creep-recovery and the repeated creep test. The tests conducted can also provide different useful results for the development of the rheometrical technique and the assessment of the creep test as a tool for ranking modified binders on the basis of their performance.
Minimal-Exploration Allocation Policies with Almost Sure , Arbitrarily Slow Growing Regret

This paper considers the problem of sampling with stochastic multi-armed bandits, when each arm generates i.i. d. rewards that follow an unknown distribution. Typical sampling policies in the literature depend on using both a forcing effect, and/or an inflated sample mean effect, and establish finite time regret bounds of order O(log(n)). Considering effects of these sampling policy types applied in isolation, using some slow growing function g, (e.g., g(n) = log(n)), org(n) = log . log(n)) we show, subject to mild regularity conditions, that for any slowly increasing function g, we can construct two policies (the g-Forcing, and the g-Inflated Sample Mean) that achieve a measure of regret of orderO(g(n)) almost surely as n→∞. Additionally, asymptotic probability one bounds on the remainder term are established. In the constructions herein, the function g effectively controls the ‘exploration’ of the classical ‘exploration/exploitation’ tradeoff.
Injuries of the maxillofacial region

The oral and maxillofacial region constitutes an area of the body which is very sensitive due to its functional and aesthetic importance. It is very challenging to protect this region from injuries as it contains special organs like eyes, ears, nose and oral cavity which are often difficult to fully or individually protect while carrying out different activities. Although different protective gadgets have been developed over the years, including helmets and shields of different designs, the consistency of availability and appropriate usage of the same is a challenge. Injuries to the maxillofacial region are discussed under three headings; soft tissue injuries, fractures of the midface and fractures of the mandible.
RAMPARTS: A Programmer-Friendly System for Building Homomorphic Encryption Applications

Homomorphic Encryption (HE) is an emerging technology that enables computing on data while the data is encrypted. A major challenge with homomorphic encryption is that it takes extensive expert knowledge to design meaningful and useful programs that are constructed from atomic HE operations. We present RAMPARTS to address this challenge. RAMPARTS provides an environment for developing HE applications in Julia, a high-level language, the same way as "cleartext'' applications are typically written in Julia. RAMPARTS makes the following three contributions. First, we use symbolic execution to automate the construction of an optimized computation circuit where both the circuit size and multiplicative depth are chosen by the compiler. Second, RAMPARTS automatically selects the HE parameters for the generated circuit, which is typically done manually by an HE expert. Third, RAMPARTS automatically selects the plaintext encoding for input values, and performs input and output data transformations. These three operations are not easily performed by programmers who are not HE experts. Thus, RAMPARTS makes HE more widely available and usable by the the population of programmers. We compare our approach with Cingulata, the only previously known system that automatically generates circuits for HE computations. The HE circuits generated by RAMPARTS are significantly more efficient than the circuits compiled by Cingulata. For instance, our runtimes for key generation/circuit compilation and all online operations are more than one order of magnitude lower for a sample image processing application used for performance evaluation in our study.
Kriminologiska institutionen Personality type , prediction and recidivist offending An evaluation of extraversion and neuroticism in the context of re-offending

The purpose of this study was to determine whether the results from the Eysenck Personality Inventory could significantly predict recidivism in the Cambridge Study in Delinquent Development. The study is designed as an attempt at contributing to the general criminological body of research, as well as an inquiry into one form of psychological explanation for delinquency, namely personality theory. The use of personality testing is based in psychologist Hans Eysenck’s theory on the relationship between personality type and crime, and functions as an attempt at identifying and evaluating what individual risk factors that predict criminal behaviour. From the population, two recidivist samples were selected; officially registered as well as self-reported recidivists. The personality types tested were extraversion, neuroticism and neurotic extraversion, as originally conceived by Eysenck. The recidivist sample consisted of respondents in the Cambridge study who had received at least one juvenile conviction between the ages of 10 and 16. Out of the three personality types, extraversion could significantly predict both officially registered and self-reported recidivist offending in the population. Neurotic extraversion predicted officially registered recidivism, whilst no support was found for the claim that neuroticism could predict recidivism. The study concludes that the results only partially support Eysenck’s claims and that a number of factors influence personality type testing and predictions based therein. Thus, personality type was not proven to be a significant risk factor for predicting crime and delinquency.
ART – Augmented Reality above the Tabletop An immersive analytics tool for the visual analysis of mobile health data

Immersive Analytics studies how immersive technologies, such as augmented reality devices and large touch-sensitive displays, can be instrumental in analysing complex data. This work investigates the potential of Immersive Analytics for the collaborative analysis of mobile health data, using a usecase-centred design approach. Firstly, requirements and limitations of current analysis processes are discussed, based on the results of a focus group between four interaction designers and seven domain experts from the SMARTACT project. The focus group revealed several leverage points for Immersive Analytics tools addressing current analysis approaches, visualisation readability, space & immersion, and collaboration. Secondly, the collaborative analysis tool ART (Augmented Reality above the Tabletop) for the visual analysis of mobile health data is presented. ART addresses the key identified requirements and leverage points by visualising multidimensional data in augmented reality using an interactive 3D visualisation. The visualisation links related data points between several 2D scatter plots to create a 3D parallel coordinates visualisation. To benefit from well-established interaction techniques, the visualisation is anchored to a touch-sensitive tabletop. This work further illustrates the implementation of such a distributed system, which uses contemporary virtual reality head-mounted displays with stereoscopic cameras to create an immersive augmented reality environment. Thirdly, two group-based expert walkthroughs were conducted to evaluate ART, with ten participants in total. The walkthroughs already revealed several benefits of using the ART system over traditional, desktop-based analysis approaches, such as better collaboration and easier data exploration. Based on results from these walkthroughs, a set of guidelines and further research directions to integrate immersive technologies into the collaborative analysis of multidimensional data is provided.
Chemical synthesis of sulfated-α(1→6)-D-mannopyranan

Sulfated oligosaccharides are a group of compounds with important biological properties as drug molecules. Phosphomannopentaose sulfate (PI-88) is a sulfated oligosaccharide with antitumor properties. PI-88 has been thoroughly investigated as a drug candidate to treat cancers, and it showed promising results in Phase 1 and Phase 2 clinical trials. The glycosidic linkages for the sulfated mannan in PI-88 are mainly of α(1→3) and α(1→2) types. It is important to determine whether the specific glycosidic linkages connecting the sulfated mannan are crucial for the biological activities of PI-88. Therefore, this study explores a method to rapidly synthesize sulfated mannan with α(1→6)linkages. We report here the rapid synthesis of sulfated-α-D-mannopyranan, a PI-88 analogue, by using a regioand stereocontrolled polymerization of a mannosyl tricyclic orthoester. After the global protecting group removal, the sulfation was successfully carried out by treatment of the unmasked mannans with sulfur trioxide-pyridine complex in dimethyl formamide.
A molecular genetic linkage map in recombinant inbred lines of Brassica napus L . using SSR and SRAP markers

Brassica napus L. (2n = 38, AACC) Recombination Inbred Lines (RILs) population were derived from a cross between Zhongyou 821 which was brown seed coat and GH 06 which was yellow seed coat. They have been recombined self-inbred by single seed descent method for seven years. 441 SSR primer pairs and 4096 SRAP primer combinations were used to screen for polymorphisms between black-seeded and yellow-seeded parents. 2536 of 4096 SRAP primer combinations did not yield distinct amplification bands. 92 SSR primer pairs (20.86%) and 260 SRAP primer combinations (16.67%) yielded 106 and 480 unambiguous polymorphic bands respectively. 423 loci (74 for SSR and 349 for SRAP) were mapped on 23 linkage groups ranging from 39 cM to 140 cM with an average length of 76.96 cM containing 3 to 82 markers in each linkage group by JoinMAP 3.0. The map covered a total of 1770 cM with the average distance between two adjacent markers was 4.18 cM. In order to gain a molecular genetic map which can cover the entire genome, other molecular marker methods are required, for example AFLP and RFLP. The map has very important use in locating some Brassica napus L. quantity trait locus (QTL) and molecular marker assist breeding in the future.
Natural Polyphenol-Dendrimers Nano-Formulations for Therapeutic Applications in Medicine

Curcuminoids, alkaloids and flavonoids (or bioflavonoids) constitute the broadest and well-studied classes of natural polyphenols and they belong to plant-derived secondary metabolites. Recently, polyphenols have attracted significant interest in the scientific community due to their antioxidant potential to confront and scavenge the free radicals generated during the various pathological processes including neurodegenerative disorders, cancer, and cardiovascular diseases. Dendrimers are three-dimensional hyperbranched polymeric macromolecular structures consisting of symmetrically repetitive branched moieties around a central core, thus adopting a globular structure. Dendrimers, due to their multi-valency and modifiable surface functionality, can be conjugated with several ligands, thus developing targeted effective dendritic multifunctional drug delivery systems. Nanomedicine, a subcategory of nanotechnology, is a multidisciplinary combination of science and technology based on studies at the molecular and atomic level, and contributes to the development of innovative pharmaceutical nano-formulations in the field of medicine. Dendrimers constitute an advanced targeted drug delivery system, which due to its diversified properties, is a challenging advancement in nanomedicine and ensures the desired therapeutic efficacy. Herein, we present a