Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Enhancing of Situational Awareness for Cognitive Software Agents

: Software agents have gained increasing attention in the field of creating digital twins of physical, biological, and human entities. The processing of sensory inputs, individual perception, and the selection of suitable actions are essential processes in here, and agent-based frameworks can be utilized for supporting the design, the implementation, and the test. This paper reflects a work-in-progress project at an early stage. However, a conceptual model is presented for an analytical situation awareness component combining agent-based approach and data science algorithms.
The Biophilic Healing Index Predicts Effects of the Built Environment on Our Wellbeing

By estimating certain features of the built environment, we can predict positive healing effects that spaces and structures may have on users. This can be estimated before something is built. Anticipating people’s eventual response to a new building or urban space is a radically new tool that links design to public health. Nothing like this is performed in current practice, however, which makes no attempt to quantify assessments of future healing effects. The proposed “biophilic healing index B” —a number from 0 to 20— permits us to quickly evaluate those factors responsible for improved human health as a result of the environmental geometry. The biophilic healing index is also very useful for repair, since it identifies which aspects of an existing building or space could be improved by renovation. Different portions of a structure could have widely different biophilic healing indices. Ten factors constitute the biophilic healing index, and identify different ways in which nature affects our body in an intrinsic yet subconscious manner. We expect healing responses from long-term physical experience of regions with a high value of the biophilic healing index. Existing data support this quantitative approach to designing healing environments. Experiments are proposed to explore the mechanisms responsible for the biophilic effect.
Fish Community in Karla Reservoir (Central Greece) after the Filling Stage

Karla Lake was drained in 1962 and restored as a reservoir in 2009. This re-established water body is considered a vital aquatic ecosystem as it is recognised as a Special Area of Conservation under the EC Habitat Directive (92/43/EEC). As recommended by the European Water Framework Directive, in 2013 and 2016 the fish community was characterised. A total of 8,974 specimens weighting 130.6 kg and belonging to 11 species and six families (Centrarchidae, Clupeidae, Cobitidae, Cyprinidae, Gobiidae and Poeciliidae) were caught. Four species (Alburnus thessalicus, Vimba melanops, Squalius vardarensis and Knipowitschia thessala) are considered as endemic to Greece and the Balkan Peninsula and three (Lepomis gibbosus, Carassius gibelio, Gambusia holbrooki) are alien. The reservoir fish community was dominated by species of the family Cyprinidae, both in terms of number and weight, supporting the eutrophic character of the water body. NPUE and BPUE values did not differ significantly between the two sampling campaigns (Wilcoxon’s test, P>0.05). The current results could be used as a database for future comparisons and for management and conservation of fish assemblages. One sampling every three years (as required by the European Water Framework Directive) is assumed as insufficient in such rapidly developing ecosystems.
An analytical solution for the ionic flux in an axonial membrane model

The knowledge of the nerve impulse in medicine is of particular relevance to the improvement of medical diagnostic and therapeutic methods. The electrochemical behaviour of the axon membrane plays an important and key role in the resulting nerve impulse, which can be related to the movement of ions between the extra and intracellular regions due to the active and the passive transports. We present a new contribution for the understanding of the diffusion process in a biological membrane of an axon. The problem is formulated for the sodium current from the electromagnetic theory. Indeed from the Maxwell equations we state a mathematical model considering the Fick-Ohm law for the total electrical current density. An analytical solution is proposed under different physiological parameters.
DRAFT: PLEASE DO NOT CITE WITHOUT AUTHOR PERMISSION Social Inequality in Early twentieth-Century Puerto Rico: Population as a Mediator

This study investigates the relationship between economic transitions, population responses, and resultant changes in the stratification system in early twentieth-century Puerto Rico. Multilevel regression techniques are used to estimate the relationship between economic production and social inequality within geographically-defined areas, and to test the hypothesis that the association between economic production the accompanying within-area social inequality was positively conditioned by population. Early twentieth-century Puerto Rico offers a compelling case for study since this period marks momentous shifts in political governance and economic interests with resultant changes in land use, population distribution, and social inequality. Social inequality is measured as individual literacy. Historical PUMS and aggregate census data are used to examine the influence of individual and ecological factors on literacy. Results indicate that natives and non-white residents had a lower probability of literacy. This relationship was especially pronounced for residents of high sugar-producing municipios and greater inequality was estimated among residents living in high populated municipios. The influence of ancestry versus nativity is also examined and study results show that having U.S. or Spanish ancestry may be more meaningful for inequality than nativity. 1 This work was supported by Research Grant F32 HD052345-01 from the National Institute for Child Health and Human Development, National Institutes of Health. Technical support was given by Bill Buckingham at the Applied Population Laboratory through the University of Wisconsin Center for Demography and Ecology GIA Core.
CHILD DISSOCIATIVE CHECKLIST

The aim of this study was to investigate the psychiatric problems and characteristics among children of child abuse (CA). Specifically, the authors investigated whether attention-deficit/hyperactivity disorder (ADHD) symptoms were exhibited before or after CA. A total of 39 abused child inpatients who were treated at Aichi Children’s Health and Medical Center, Aichi, Japan, (mean age, 10.7 ± 2.6; mean IQ scores, 84.1 ± 19.3) were included in the study. The most frequent diagnosis was dissociative disorder in 59% of abused subjects. ADHD was diagnosed in 18% of abused subjects, and 71% of ADHD children had comorbid dissociative disorder. A total of 67% of all CA subjects fulfilled the ADHD criteria A according to DSM-IV-TR, however, only 27% of those fulfilled the criteria before CA. The subjects of dissociative disorder fulfilled ADHD criteria A more frequently than those of non-dissociative disorder (P = 0.013), and this result led to an increase in the frequency of the apparent ADHD. The rate of ADHD-suspected parents in the subjects who fulfilled ADHD criteria A after CA was significantly lower than those who fulfilled it before CA (P = 0.005). While it is difficult to distinguish ADHD from dissociative disorder, abused children may have increased apparent ADHD due to dissociative disorder. Further studies should be conducted in order to explore the distinct biological differences between ADHD before CA and the subjects who fulfilled ADHD criteria A after CA.
Developers’ Contribution to Structural Complexity in Free Software projects

Free software projects are developed in a way that is substantially diﬀerent from “conventional” software development. As they get more importance in the Information and Communication Technology ecosystem, understanding the processes by which these projects are developed, evolved and maintained gets more important as well. Structural Complexity, the complexity inherent to the organization of source code elements into modules, represents a major threat to any software project: highly complex software needs higher levels of eﬀort for maintenance activities and exhibit a higher amount of more bugs. Free software projects with highly complex source code are also less likely to attract new developers. This PhD research aims at explaining variations in the Structural Complexity of free software projects in terms of the characteristics of the developers producing it. This paper describes the research by presenting its objectives, proposed research design, and preliminary ﬁndings.
A Note on the Logistic Regression Model with a Random Coefficient to Predict Propensity Scores

In observational studies, marginal structural models are often used to adjust for confounding. When predicting propensity scores, some investigators may want to apply a logistic regression model with a random coefficient to take account of residual confounding. Here, we show that the random coefficient can be interpreted as the logarithm of the confounding risk ratio; i.e., the ratio of crude risk ratio to causal risk ratio. Three target populations (the exposed, unexposed, and total groups) are discussed. INTRODUCTION Confounding is widely recognized as one of the principal problems faced by investigators conducting observational studies. In an analysis, some investigators may want to take account of residual confounding. In the situations, a random coefficient regression model (mixed effect model with random intercept) may be applied. The use of such a model has been discussed in the context of ordinal regression analysis [1-3]. However, this discussion has not been conducted in the context of marginal structural models (MSMs) [4,5], in which a logistic regression model is often used to predict propensity scores [6,7]. Here, we give an interpretation of a random coefficient when a logistic regression model with a random coefficient is used for predicting propensity scores. We discuss MSMs under the three target populations: the total, exposed, and unexposed groups. MATERIALS AND METHODS We use X as an exposure indicator and assume the nowstandard deterministic potential outcome model [8], in which YX=1 and YX=0 are the potential outcome indicators under X = 1 and X = 0, respectively. The potential risks Pr(YX=1 = 1) and Pr(YX=0 = 1) are then the expectation of Y if everyone in the study population had been exposed and that if everyone had been not exposed, respectively. Causal effects with the total group as the target population are contrasts between these two risks. Those with X = x as the target population are contrasts between Pr(YX=1 = 1 | X = x) and Pr(YX=0 = 1 | X = x). Let i = 1, . , n denote a subject and zi denote a vector of measured confounders. The propensity score Pr(X = 1 | Z = zi) is then predicted using a logistic regression model: θ θ ′ = = = ′ + exp( ) Pr( 1| ) 1 exp( ) i i i z X Z z z , (1) where θ is a vector of the regression coefficient. When residual confounding exists, however, Equation (1) derives the biased propensity scores. As a result, the MSM will derive biased estimates of causal effects. In the next section, we give an interpretation of a random coefficient when it is included in Equation (1). RESULT AND DISCUSSION Unexposed group as the target population To take account of residual confounding, we assume that the propensity score p0i is explained by the following logistic regression model with a random coefficient: α θ α θ ′ + = ′ + + 0 exp{log( ) } 1 exp{log( ) } i i i i i z p z , where log (αi) is a random coefficient. Using Equation (1), p0i can be expressed as: 0 exp( ) 1 exp( ) Pr( 1| ) . Pr( 0| ) Pr( 1| ) i i i i
Intraguild Predation and Cannibalism between Two Phytoseiid Mites, Neoseiulus californicus and Amblyseius andersoni

Intraguild predation and cannibalism (conspecific predation) of two generalist phytoseiid mites were determined in this study. Adult females and protonymphs of Neoseiulus californicus (McGregor) and Amblyseius andersoni Chant were considered as intraguild and cannibalistic predators, provided with eggs, eggs+larvae and protonymphs as intraguild or conspecific prey. A side from predator species and prey type (IG prey versus conspecific prey), females exhibited lowest predation rates on eggs. Not including prey type, the highest predation rate was recorded in A. andersoni and N. californicus when provided with eggs+ larvae. Female predators were not interested in the first nymphal stage of prey and there was no significant difference in consumption rates and oviposition when provided with conspecific or intraguild prey. Feeding on intraguild larval prey did not only increase mortality of A. andersoni immatures, but also decreased their consumption rates. For N. californicus immatures, predation on IG larval prey was higher than on conspecific larvae. Therefore, it seems that the predator species are able to survive on both conand heterospecific prey.
Structure of acutolysin-C, a haemorrhagic toxin from the venom of Agkistrodon acutus, providing further evidence for the mechanism of the pH-dependent proteolytic reaction of zinc metalloproteinases

# 1999 International Union of Crystallography Printed in Denmark ± all rights reserved The structure of acutolysin-C, a haemorrhagic zinc metalloproteinase from the venom of Agkistrodon acutus, has been analyzed and re®ned at 2.2 AÊ resolution. The space group of the crystal is P212121, with unit-cell dimensions a = 46.84, b = 49.52, c = 95.34 AÊ . One molecule was found in each asymmetric unit. The phasing problem was solved by the molecular-replacement program AMoRe. Crystallographic re®nement was performed using X-PLOR, leading to ®nal R and free R factors of 0.176 and 0.272, respectively. The residue sequence of acutolysin-C was determined mainly by electron density. No density was found for the ®rst residue at the N-terminus and the last two residues at the C-terminus, which was also the case for most other P-I class snake-venom metalloproteinases (SVMPs). Acutolysin-C has two highly conserved characteristic sequences His142-Glu143-X-XHis146-X-X-Gly149-X-X-His152 and Cys162-Ile163-Met164. The enzyme has three disul®de bridges: Cys117±Cys195, Cys157±Cys179 and Cys159±Cys162. The entire structure shows good agreement with that of other reported P-I class SVMPs and has two subdomains with a cleft in which one catalytic zinc ion is localized. However, the local conformation (especially the disul®de con®gurations), the coordination of the catalytic water molecules and some residue side chains differ compared with other P-I class SVMPs. The proteolytic activities of SVMPs are sensitive to the pH value. The molecular superpositions around the proteolytic active sites of all the P-I class SVMP crystal structures show that the distances between the zinc ion and its ligands are not correlated with the crystallization pH values, although the contact distances between the catalytic water molecule and the O atoms of the Glu143 carboxylate group in the neutral and weakly alkaline structures are shorter than those in weakly acidic structures, and the closer the crystallization pH value of one enzyme is to its optimal activity pH value, the shorter the contact distances. Overall, all P-I class SVMPs have similar conformations in the active-site cleft. The size of the active site is not correlated with the crystallization pH values or the proteolytic activities. The disul®de bridge Cys117±Cys195 is conserved in all crystal structures of P-I class SVMPs, whereas the conformation and number of disul®de bridges in the C-terminal subdomain differ. Acutolysin-C has no structural calcium ion, which may not affect the proteolytic activity or haemorrhagic activity directly. Received 8 March 1999 Accepted 27 July 1999
New Media Access and Use for Triggering the Farmers Capability Improvement in Central Java Indonesia

The coconut sugar industry is a hereditary business in Banyumas. However, the low income of farmers, poor education, regeneration, and limited number of extension staffs, are some of the problems associated with its development in rural areas. Therefore an alternative strategy is needed to solve these problems to stay above the competitive and fast-growing market. This study, therefore, aims to determine the access and use of the new media to trigger farmers capability improvement. In-depth interviews and FGD were used to collect data from coconut sugar farmers, extension and cooperative staff, informal leaders, and government officers. Finding show that farmers have the freedom to access new media, though the access is varied based on socio-demographic characteristics. Following their experience in online activity, farmers conduct a social interaction with related parties to discuss the information obtained. Therefore, through this interactive process, farmers tend to realize their functions to improve their capability by obtaining new information, expanding their economic opportunity, affiliation, besides play and emotion.
Celiac Disease and Risk of Atrial Fibrillation: A Meta-analysis and Systematic Review

Introduction Several studies have found celiac disease may be associated with a variety of cardiac manifestations. Atrial fibrillation (AF) is one of the most common arrhythmias that can cause significant morbidity. However, the risk of atrial fibrillation in patients with celiac disease according to epidemiological studies remains unclear. The aim of this meta-analysis study is to assess the risk of atrial fibrillation in patients diagnosed with celiac disease compared to controls. Methods A systematic literature review was conducted in MEDLINE, EMBASE, Cochrane databases from inception through December 2017 to identify studies that evaluated the risk of atrial fibrillation in patients with celiac disease. We included randomized controlled trial, cross sectional and cohort studies that reported the odds ratio, relative risk, hazard ratio, and standardized incidence ratio comparing the risk of developing atrial fibrillation among patients with celiac disease, versus patients without celiac disease as control. The Newcastle-Ottawa scale was used to determine the quality of the studies. Effect estimates from individual studies were extracted and combined using random-effect, generic inverse variance method of DerSimonian and Laird. Results Celiac disease is an autoimmune condition. This inflammatory state predisposes patients to develop AF. After a review of the literature, four observational studies with a total of 64,397 participants were enrolled. The association between celiac disease and increased risk of atrial fibrillation was significant, with a pooled OR of 1.38 (95% CI: 1.01-1.88). No publication bias as assessed by the funnel plots and Egger's regression asymmetry test with p = 0.54. However, the heterogeneity of the included studies was high (I2 = 96). Conclusion A significant association between celiac disease and risk of atrial fibrillation was reported in this study. There is a 38% increased risk of atrial fibrillation. Additional studies are needed to clarify the mechanistic link between atrial fibrillation and celiac disease. Some of the limitations of this study are that all were observational studies, some were medical registry-based and there was high heterogeneity between studies.
Crop yield predictions - high resolution statistical model for intra-season forecasts applied to Wheat in India

This paper discusses the application of [1] in broader settings: diﬀerent crops and diﬀerent regions. With the framework built in [1], we test the same methodology that we applied to corn in the US to wheat (winter) in India. Similar as Argentine soybeans model [2], due to the lack of existing Indian wheat crop masks, we create our own crop masks using classiﬁcation algorithms on planting and growing season Landsat imagery. The best performing model we ﬁnd takes NDVI and ET anomaly as inputs, and can predict yield for 72% of the districts within 44.2% of one standard deviation, i.e. 0.48 t/ha, by the end of April. National level yield is predicted within 5% error rate on average during backtesting from 2001 to 2016.
How Many Dimensions does Emotional Experience Have? The Theory of Multi-Dimensional Emotional Experience

– Previous research has revealed that the construction of a general dimensional model of emotional experience could be quite difficult challenge. Past attempts were built on empirical evidence and employed the judgment of facial expressions, the factor analysis of questionnaire data, multi-dimensional scaling techniques, or also, the analogy with the visual perception of colors. Interestingly, such models yielded a very high level of inconsistency in mutual comparison. The present study aims to provide a theoretical, dimensional model of emotional experience based on the analysis of three current phenomenological systems of emotional typology. Although the phenomenological approach is sometimes criticized from the standpoint of positivistic psychologists, its application seems to be fruitful in situations when quantitative empirical evidence has brought inconsistent results. The limits of this approach are discussed in the final part of the chapter.
RealGraph: User Interaction Prediction at Twitter

A common requirement for personalization in social networks is to estimate relationship strength for existing ties of a given user. In this work, we provide a framework to compute relationship strength for ties based on directed interactions between users. The proposed framework, called RealGraph, produces a directed and weighted graph where the nodes are Twitter users, and the edges are labeled with interactions between a directed pair of users. Further, each directed edge also has a weight that is the probability of any interaction going from the edge source to the edge destination in the future. The framework learns a logistic regression based model using historical data and then scores the edge features using the model to produce the weight. We provide several applications of RealGraph at Twitter: it is used to compute better user recommendations, improve the relevance of user search results, and provide enhanced performance on any task that can benefit from separating strong ties from weak ones. Finally, we also provide an evaluation of the RealGraph based on both the effectiveness of the learning methodology and its performance from an application standpoint.
Measurements of Semi-Inclusive DIS Double-Spin Asymmetries on a Longitudinally Polarized 3 He Target

Precision measurements of longitudinal double-spin asymmetries A1n, h = π +, π−, π0,K+,K− in semi-inclusive deep-inelastic scattering on a longitudinally polarized 3He target are proposed. These asymmetries are sensitive to the flavor-separated quark helicity distributions of the nucleon. The flavor decomposition of nucleon spin is one of the major physics goals of the JLab 12 GeV upgrade. The experiment will reach high statistical figure-of-merit using a high-luminosity polarized 3He target and the BigBite and Super BigBite spectrometers in Hall A, in a configuration identical to approved experiment E12-09-018, that will measure transverse single-spin asymmetries in SIDIS. Compared to existing and planned measurements on proton and deuteron targets, SIDIS asymmetries measured on 3He provide superior sensitivity to ∆d and ∆d̄. The kaon SIDIS asymmetries measured by this experiment will provide access to the polarized strange quark distribution ∆s. A total of 30 days of running in Hall A are requested, including 20 days at 11 GeV and 10 days at 8.8 GeV. The proposed experiment will dramatically improve our knowledge of the flavor-separated quark helicity distributions in the valence region, and provide precision data for the next generation of NLO QCD global analysis of polarized PDFs.