Miracle-dz/UniFAR-FTUs huggingface dataset:
A dynamic model for subgrid-scale variance and dissipation rate of a conserved scalar

The dynamic procedure is applied to the problem of modeling the subgrid-scale variance and dissipation rate of a conserved scalar in large eddy simulations of turbulent reacting flows. A simple scaling relation for the subgrid-scale variance is proposed, and the coefficient of the scaling law is obtained using the dynamic procedure. The variance dissipation rate is modeled by assuming equilibrium with the local variance production rate, which is obtained using a dynamic model. Example model predictions are obtained using actual large eddy simulation data, and the subgrid variance predicted by the dynamic model is compared to results obtained using a scale similarity model. Generalization of the approach to multiple scalars and nonconserved scalars is briefly discussed.
Emotion regulation as reflected in children’s dreams – a developmental test of the neurocognitive dream theory

Introduction Although REM sleep plays an important role in neural maturation, developmental aspects of dream research are relatively neglected compared to studies focusing on adults. Adult research found that REM sleep and dreams take certain roles in emotional adaptation, including the processing of emotional events, consolidation of emotional memories and the downregulation of reactions to dysphoric stimuli. These findings, however, are rarely discussed in a developmental perspective. Aims We aim to test the neurocognitive dream theory developed by Nielsen and Levine (2007) by investigating the associations among abilities of waking emotional processing, behavioral manifestations of emotional problems and the emotional aspects of dreaming in children. Methods We analyzed 349 dream reports of 40 children between the ages of 4 to 8 years. Dream emotions, emotional dream quality and the dreams’ effect on daytime’s mood were self-reported by the children. Wakeful emotional processing is measured by the Emot.
Teaching Statistical Inference for Causal Effects in Experiments and Observational Studies

Inference for causal effects is a critical activity in many branches of science and public policy. The field of statistics is the one field most suited to address such problems, whether from designed experiments or observational studies. Consequently, it is arguably essential that departments of statistics teach courses in causal inference to both graduate and undergraduate students. This article discusses an outline of such courses based on repeated experience over more than a decade.
Microbial community succession during crude oil-degrading bacterial enrichment cultivation and construction of a degrading consortium

Microbial community succession during the enrichment of crude-oil-degrading bacteria was analyzed using Illumina high-throughput sequencing to guide bacterial isolation and construction of a bacterial consortium. Community change occurred in 6 days; the most abundant phylum changed from Proteobacteria to Actinobacteria; the most abundant genera were Dietzia and unspecified_Idiomarinaceae. Two crude oil-degrading strains, Rhodococcus sp. OS62-1 and Dietzia sp. OS33, and one weak-crude-oil-degrading strain, Pseudomonas sp. P35, were isolated. A consortium comprising Rhodococcus sp. OS62-1 and Pseudomonas sp. P35 showed the highest crude-oil-degrading efficiency, reaching 85.72 ± 3.21% within 7 days, over a wide pH range (5–11) and salinity (0–80 g·L−1). Consumption of saturated hydrocarbons, aromatic hydrocarbons, and resins was greater by the consortium than by a single strain, as was degradation of short-chain-alkanes (C13–C17) according to gas-chromatography. The bacterial consortium provides technical support for bioremediation of crude oil pollution.
Spatially resolved strain measurements in Mo-alloy micropillars by differential aperture x-ray microscopy

Spatially resolved strain distributions in the NiAl matrix and the ∼550–1000 nm Mo fibers of a NiAl–Mo eutectic were investigated by microbeam x-ray diffraction. Position sensitive d-spacings for the individual phases were obtained from spatially resolved and energy-resolved Laue patterns. For embedded Mo fibers, the measured elastic strain is consistent with the predicted thermal mismatch strain between the NiAl and Mo phases. However, when the NiAl matrix is etched back to expose Mo micropillars, the d-spacing increases to that of unconstrained Mo, indicating release of the compressive residual strain in the Mo fibers.
A new paradigm in management of frequent attenders to emergency departments with severe alcohol use disorder—A pilot study for assertive community treatment in Singapore

Introduction A majority of frequent users of emergency medical services in Singapore present with alcohol-related problems. These patients are known to engage poorly with traditional addiction services and frequently attend Emergency Departments (EDs) instead, resulting in high healthcare burden. Assertive Community Treatment (ACT) is an alternative intervention to traditional addiction management. ACT involves community visits with focus on holistic care and harm-reduction. Materials and methods We conducted a prospective before-and-after cohort study at the major tertiary center for addiction disorders in Singapore. The main objective was to evaluate effectiveness of ACT in reducing alcohol-related attendances at EDs nationwide. Socio-demographics, alcohol-related ED attendances, and the Christo Inventory for Substance-misuse Services (CISS) scores were collected for the patients recruited from April 2018 to March 2019. Descriptive analyses and the Wilcoxon Signed-Rank Test were performed. Results All 14 patients were male with a mean age of 55 years. There was a significant 45.3% reduction in average alcohol-related ED attendances from 6.8 (range 3–22, median 5.5) in the pre-intervention 6-month period, to 3.7 (range 0–28, median 1.5) in the post-intervention 6-month period (Z = −2.244, p = 0.025). CISS scores showed significant improvement from a pre-intervention median of 13.5 (range 9–16) to a post-intervention median of 6.5 (range 1–10, p = 0.001), corresponding to reduction in alcohol-related problem severity. Conclusion This pilot study suggests that ACT can be effective in reducing alcohol-related ED attendances and alcohol-related problem severity in patients with AUD who frequently attend ED. A multicenter, prospective study using ACT for such patients across four hospitals in Singapore is currently underway.
Origen y evolución de la cooperación internacional para el desarrollo

The years that followed World War II are considered the base for international cooperation with clear events such as the plans to rebuild Europe, the appearance of the United Nations, and the decolonization process. At the beginning, the international cooperation for development was conceived almost exclusively as the direct transfer of monetary resources to a recipient in order to improve its development indicators. This concept had a crisis or fatigue due to the poor results presented for over three decades. Nowadays, cooperation is reevaluated based on a vision of human development that goes beyond the merely economistic and vertical vision of the previous decades. Once these problems were overcome, the international cooperation for development became dynamic and adjustable to the changing needs of the international environment.
β-FeSi2 as the bottom absorber of triple-junction thin-film solar cells: A numerical study

Using β-FeSi2 as the bottom absorber of triple-junction thin-film solar cells is investigated by a numerical method for widening the long-wave spectral response. The presented results show that the β-FeSi2 subcell can contribute 0.273 V of open-circuit voltage to the a-Si/μc-Si/μ-FeSi2 triple-junction thin-film solar cell. The optimized absorber thicknesses for a-Si, μc-Si, and β-FeSi2 subcells are 260 nm, 900 nm, and 40 nm, respectively. In addition, the temperature coefficient of the conversion efficiency of the a-Si/μc-Si/β-FeSi2 cell is −0.308%/K, whose absolute value is only greater than that of the a-Si subcell. This result indicates that the a-Si/μc-Si/β-FeSi2 triple-junction solar cell has a good temperature coefficient. As a result, using β-FeSi2 as the bottom absorber can improve the thin-film solar cell performance, and the a-Si/βc-Si/β-FeSi2 triple-junction solar cell is a promising structure configuration for improving the solar cell efficiency.
Teacher career calling reduces burnout: The mediation effects of work engagement and psychological capital

Burnout is a serious problem in the teaching profession. Research suggests that career calling could be regarded as a protective factor against burnout; however, the mediating mechanism underlying this relationship remains to be explored. The purpose of this study was to test the mediating roles of work engagement and teachers' psychological capital. A total of 3,300 teachers completed a self-report questionnaire. Results showed that the relationship between career calling and burnout was mediated by work engagement and teacher psychological capital. These findings provide insights for preventing burnout among teacher groups.
Definable retractions and a non-Archimedean Tietze--Urysohn theorem over Henselian valued fields.

We prove the existence of definable retractions onto arbitrary closed subsets of $K^{n}$ definable over Henselian valued fields $K$. Hence directly follows non-Archimedian analogues of the Tietze--Urysohn and Dugundji theorems on extending continuous definable functions. The main ingredients of the proof are a description of definable sets due to van den Dries, resolution of singularities and our closedness theorem.
Crop Yield Analysis using SIF and Climate Variables: A Case Study in Punjab, India

Regular and faster crop yield prediction can mitigate the extreme effects of severe weather events, such as drought, heavy rainfall, etc. This work explores a precise, scalable, and automatic way to understand rice yield dynamics and its correlation with satellite-based solar-induced fluorescence (SIF), climate variables, such as temperature and rainfall, as they exhibit a significant correlation with rice yield. A district-wise analysis in Punjab, India, is carried out using Pearson correlation coefficient and different regression techniques, such as linear, ridge, lasso, and elastic net for the Kharif season. A comparative study shows that the elastic net performs better than the other models, with the best coefficient of determination (R2) of 0.792 and root mean square error (RMSE) of 300.5 kg/ha. This study can be extended in multiple dimensions by including a variety of crops, climate factors, and multi-satellite SIF data for any crop yield pattern analysis and prediction.
Stairs and ramps ascent and descent: how to design feasible gait patterns for a powered lower-limb exoskeleton

In recent years, powered exoskeletons have witnessed a surge in usage for rehabilitation purposes in clinical environments. Mainly used for walking on flat terrains, they are evolving to handle advanced scenarios as stairs and ramps to allow a wider range of activities. To do so, a valid tool is necessary to find effective and safe trajectories for different challenges. This paper proposes an iterative approach for designing the movement patterns for powered lower-limb exoskeletons by means of basis function interpolation. This approach has been used to define different trajectories to address ascending and descending stairs and ramps. Besides, the mathematical definition of the resulting basis function is presented. The outcome of this study has been successfully tested on real scenarios with the support of a group of nine healthy subjects wearing the TWIN lower-limb exoskeleton.
Identification Method of Robot Dynamics Parameters Based on Improved Friction Model

Follow-up bracket mechanism has been widely used in airborne equipment as a special robot. Due to the high complexity of the mechanism itself and the need to meet the continuous time variability of the tracking trajectory, the dynamic analysis of the Follow-up bracket mechanism must be carried out. In this paper, the MDH method is used to analyze the necessary kinematic parameters of the Follow-up bracket mechanism, and the dynamic model is constructed by the Newton-Euler iteration method, and the dynamic expression is deduced by the symbolic calculation software SYMORO+; then the linearization model of the robot and the minimum inertial parameter set is used to derive a set of minimum inertial parameters for the six-degree-of-freedom industrial robot; the finite-term Fourier series is studied as the excitation trajectory of the dynamic parameter identification experiment, and using MATLAB fmincon function in the calculation of the excitation trajectory parameters; research on the least squares parameter identification method. And it is proposed to modify the traditional linear friction force identification model into a sigmoid function model to avoid the problem of large error at joint commutation and control law chattering. Experiments show that the theoretical value of joint torque calculated by the deduced linear expression is consistent with the change trend of the actual value. The dynamic parameter identification method based on the improved friction model can optimize the theoretical joint torque when the interactive mechanism moves, and improve the chattering problem at the joint reversal.
Increasing Performance of Cooling Systems for Radar Transmit/Receive Modules

The authors take into consideration the placement of the antenna sheet and the transmit/receive modules of the active phased array antenna in its operating position to propose a new efficient design of the air-cooling system for transmit/receive modules with built-in heat pipes of simplified design. This paper presents the results of computer simulation of two alternative designs of the air-cooling system based on a heat sink: a version without heat pipes and one with 16 flat heat pipes with threaded capillary structure. The effect of changing the velocity of cooling air flowing in the heat pipe channels from 2 to 10 m/s on the temperature field distribution and the temperature of the hottest transistors is demonstrated for both versions at a total thermal power of 8 transistors amounting to 224 W. At an air velocity of 2 m/s, the use of heat pipes in the cooling system made it possible to reduce the temperature of the hottest transistor by 20 K, and at an air velocity of 10 m/s, by 14.9 K. The recommended air velocity in the heat sink channels was determined to be in the range from 4 to 8 m/s, in which the temperature of the transistors is reduced to 33.3% compared to the heat sink design without heat pipes.
Research on Monocular Vision SLAM Algorithm for Multi-map Fusion and Loop Detection

Aiming at the low robustness of feature point SLAM to scene location and mapping with missing features such as occlusion, image frame damage and low texture, a monocular visual SLAM (MMF-SLAM) algorithm based on multi-map fusion and loop detection is proposed in this paper. In this paper, the local multi-map fusion method is used to solve the problem of choosing fast relocation or constructing a new local map from the current position when the tracking is lost, and then fuse all the previously constructed maps when looping back. Secondly, in the loop detection module, the TF-IDF score matching standard is improved, a new location recognition technology with high recall is proposed, and a more detailed and accurate map fusion is carried out. The test results on the TUM RGB-D benchmark dataset and the KITTI dataset show that the multi-map fusion method effectively solves the problem that the map cannot be built after the tracking is lost. At the same time, the improved loop detection reduces the error accumulation of the system and makes the system have good positioning accuracy. Compared with the mainstream visual SLAM algorithm ORB-SLAM2, this algorithm can quickly relocate and continuously track and map fusion, which helps to improve the calculation accuracy of SLAM algorithm.
PROCESSING OF VERB TENSE

Processing of Serbian inflected verbs was investigated in two lexical decision experiments. In the first experiment subjects were presented with five forms of future tense, while in the second experiment the same verbs were presented in three forms of present and future tense. The outcome of the first experiment indicates that processing of inflected verb is determined by the amount of information derived from the average probability per congruent personal pronoun of a particular verb form. This implies that the cognitive system is not sensitive to verb person per se, nor to the gender of congruent personal pronoun. Results of the second experiment show that for verb forms of different tenses, presented in the same experiment, the amount of information has to be additionally modulated by tense probability. Such an outcome speaks in favor of cognitive relevance of verb tense.
Sero and media culture prevalence of Salmonellosis in local and exotic chicken, Debre Zeit, Ethiopia

The main constraints to the development of indigenous chicken production in rural Ethiopia includes diseases, inadequate feed, predator, poor housing system and to a lesser extent limitation on financial and knowledge on management. In Ethiopia, the current rates of mortality due to diseases from day old to adult chicken are estimated to be 20-50%. Among the diseases: Fowl typhoid and pullorum disease are mentioned to cause heavy losses which are similar to other African countries. A cross sectional study was conducted from November 2011 to March 2012 with the objectives of determining the prevalence of poultry Salmonellosis by serology and media culture isolation from sero positive chicken of different eco-types kept under intensified production system. From one hundred and fifty (150) intensively managed chickens from different eco-type of local and one exotic breed screened, fourteen (14) chickens (9.33%) were positive to S. gallinarum and/or S. pullorum antibodies. From fifty (50) exotic chickens teated, 3(6%) chickens gave positive result up on serum agglutination test. The remaining one hundred chickens from three eco-type of local breeds namely Cheffe, Horro and Jarso, were identified to be positive on agglutination test with 6(13.6%), 2(6.45%), 3(12%) prevalence respectively. Five of 14(35.7%) sero-positive cloacal swab samples collected from four eco-types chickens were culture posi­tive for S. gallinarum/S. pullorum. Of the 6 cloacal swab samples collected from Cheffe 3 (50%) and of the 3 cloacal swab samples collected from Jarso 2 (66%) were positive for S. gallinarum/ S. pullorum. The seropositivity and isolation of Salmonella in this study indicates the existence of fowl typhoid and pullorum disease in local and exotic breeds. The existence of the diseases especially in these local breeds of Ethiopia is of great concern as the diseases have the poten­tial for horizontal and vertical transmission. The detection of such economically important diseases both in the indigenous and exotic chickens demands detail epidemiological and bacteriological investigations so as to put appropriate control strategies in place Key words: Chicken, prevalence, S. gallinarum, S. pullorum.
Modular Invariants and Twisted Equivariant K-theory

Freed-Hopkins-Teleman expressed the Verlinde algebra as twisted equivariant K-theory. We study how to recover the full system (fusion algebra of defect lines), nimrep (cylindrical partition function), etc of modular invariant partition functions of conformal field theories associated to loop groups. We work out several examples corresponding to conformal embeddings and orbifolds. We identify a new aspect of the A-D-E pattern of SU(2) modular invariants.
Nonseparable Sample Selection Models

This paper analyzes the nonparametric identi…cation of nonseparable models in the presence of sample selection. Most existing sample selection models severely restrict the eect heterogene- ity of the observed variables on the outcome distribution. In contrast, we allow for essential het- erogeneity by assuming the outcome to be a nonparametric and nonseparable function of the ex- planatory variables and the disturbance term. We impose a quantile restriction on the distur- bance term to derive sharp bounds on the functions of interest such as the partial eects. The identi…ed set shrinks to a single point if separability holds or if some observations are observed with probability one. We also provide a simple estimator for the identi…ed set in the linear quan- tile regression model and apply it to female wage data.
Context Co-occurrence Based Relationship Prediction in Spatiotemporal Data

Recently, users’ relationship prediction in spatiotemporal data has attracted widespread attentions. Previous studies have focused on either co-occurrence or context in spatial aspect, where the context in time aspect is seldom considered. In this paper, considering co-occurrence, context, and mobility periodicity together, we propose a novel social relationship prediction approach named Multi-View Context Co-occurrence (MVCC) for this problem. The combination of context and cooccurrence is not simply merged together, specifically, we propose a method that artfully transfers user-pair relationship in spatiotemporal data to word-pair relationship in natural language processing domain. In our approach, the context sequences capturing spatiotemporal semantics information from multi-views are constructed and the multi-view context co-occurrence feature with different degree representation is extracted from them. These multi-view context co-occurrence features are used to train multiple classifiers. The outputs representing different degree spatiotemporal information are weighted and fused as the final relationship strength. The results show feasibility of our approach compared to the methods such as EBM and SCI. Keywords—relationship prediction; spatiotemporal data; multiview context sequence; context co-occurrence
Georeferenced Open Data and Augmented Interactive Geo-Visualizations as Catalysts for Citizen Engagement

Citizen engagement figures prominently on political agendas around the world. In this context, high hopes are pinned to open government, open data and ICT tools. At the same time, there are fears of a widening digital divide, where large groups of society are in danger of being excluded from societal processes, for example due to having difficulties in using the online tools provided. In this paper, we propose an approach that has the potential to address many key issues in this context (e.g. accessibility, complexity, engagement). It relies on space and time as common integrators, and uses interactive augmented geo-visualizations to facilitate citizen engagement. We report on key challenges that need to be overcome to realize this approach and on initial progress towards this goal. We describe a set of prototypical tools aimed at supporting citizen engagement in the envisioned way, and discuss the approach as well as its potentials, issues and challenges in detail. Initial experiences and results indicate that our approach is not only technically feasible but it can also empower citizens to more effectively engage with societal and governmental processes.