Miracle-dz/UniFAR-FTUs huggingface dataset:
Annotation of Complex Emotions in Real-Life Dialogues: The Case of Empathy

English. In this paper we discuss the problem of an-notating emotions in reallife spoken conversations by investigating the special case of empathy. We propose an annotation model based on the situated theories of emotions. The annotation scheme is directed to ob-serve the natural unfolding of empathy during the conversations. The key component of the protocol is the identification of the annotation unit based both on linguistic and paralinguistic cues. In the last part of the paper we evaluate the reliability of the annotation model. Italiano. In questo articolo illustriamo il problema dell’annotazione delle emozioni nelle conversazioni reali, illustrando il caso particolare dell’empatia. Proponiamo un modello di annotazione basato sulla teoria situazionale delle emozioni. Lo schema di an-notazione e diretto all’osservazione al naturale dipanamento dell’empatia nel corso della conversazione. La componente principale del protocollo e l’identificazione dell’unita di annotazione basata sul contenuto linguistico e paralinguistico dell’evento emozionale. Nell’ultima parte dell’articolo riportiamo i risultati relativi all’affidabilita del modello di annotazione.
Characterization of alkaline phosphatase activity in genotype of whitefly, Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae)

Whitefly, Bemisia tabaci (G) causes severe damage to crops directly by sucking and indirectly as vector of several plant viral diseases. It was hypothesized that physiological superiority of B-biotype in B. tabaci could partly be attributed to its improved ability to utilize the alkaline phosphatase pathway. Alkaline phosphatases (ALP) are considered as key metabolically active enzyme ubiquitously present in diverse group of insects and are functionally implicated in several physiological processes. The present study we have characterize the alkaline phosphatase (ALP) in Asia I and Asia II-1, the two predominent genotype of B. tabaci collected from different agroclimatic zone of India. The study was conducted in the year 2013-2015 in controled environment of insect proof climatic control chamber, Division of entomology-IARI, New Delhi. From the result it was found that at pH-7, Asia II-1 has shown significantly higher specific activity (0.99±0.02 nmol/μl/μg), as compare to Asia I, 0.93±0.02nmol/μl/μg which has implicated with higher Vmaxi.e. 1.338±0.141 and Km0.394±0.1247 nmol whereas Asia I have shown lower Vmax1.021±0.044 and Km0.1826±0.036. In this experiment we also tested the effect of temprature and pH on enzyme activity in both the genotype at optimum substrate consentration of 0.75 mM.
Performance based contracting capabilities : a pre-study of Swedish defence acquisition

The Swedish Armed Forces and the Swedish Defence Materiel Administration (FMV), i.e. the Swedish Defence Procurement Agency (DPA), are currently undergoing a radical transformation. The transformation involves shifting roles and responsibilities, and transfer of resources, including personnel, from the Armed Forces to the DPA. To a large extent, the transfer of resources involves the merger of parts of the Swedish Defence Logistics Organisation (DLO) with the DPA. In the new business model, the DPA will assume responsibility for defence equipment from a life-cycle perspective, i.e. both equipment and support, whereas previously, the DPA was only responsible for acquisition of equipment, and the Armed Forces was responsible for operations and support. This paper reports on a conceptual pre-study that was conducted in order to explore the concept of “performance-based contracting (PBC) capabilities”, as well as to examine what types of capabilities the Swedish defence agencies should consider in order to implement a performance-based defence acquisition and logistics model. In addition, the pre-study was aimed at identifying relevant theoretical perspectives and conceptual frameworks for empirically studying, as a next step, capability development in performance-
Modelling the impact of extreme weather events on healthcare infrastructure using rich picture diagrams

Healthcare infrastructure for a community comprises not only its hospital but also many other related facilities such as primary care clinics, community health centres, rural nursing posts, aged care centres, etc. These facilities form a complex set of relationships which need to work collectively for an effective response to climatechange related extreme weather events such as floods and storms. The aim of this research is to develop a conceptual understanding of the dynamic relationships of hospital facilities before, during and after an extreme weather event. This is an essential step in framing a systems model that will assist facility managers to maintain critical healthcare infrastructure during an emergency. Rich Picture Diagrams (RPDs) were used to map relationships between critical healthcare infrastructure components such as the base hospital; access roads; aged care facilities and remotely located supplies. The rich information on the inter-organisational, system and governance complexities associated with responding to extreme weather events was obtained from three hospital case studies (two in Australia and one in New Zealand). The main finding of this research is that RPDs have considerable potential in the development of soft systems models which will assist decision takers involved in the design and management of healthcare infrastructure particularly in the context of extreme weather events. The soft systems methodology which underpins this research challenges the conventional view of what constitutes a ‘facility’ and consequently has important implications for those constructing and managing facilities.
A robust method for brush-based interactive geometry cloning

This work introduces a method for 3D mesh cloning. We apply the concept of a cloning brush known from several image editing tools. In contrast to the other existing methods that tried to apply the idea of a cloning brush to 3D geometry, we do not restrict the user to a predefined canvas giving her more freedom in editing. Furthermore, our approach is the first of its kind that allows additive cloning preserving existing geometry details. All steps of our method may be computed in real-time, including the computation and placement of the canvases. Our algorithm consists of the following steps: First a correspondence between source and target is established using the discrete exponential map algorithm. The warping of the surface is done using Laplacian coordinates and solving a sparse linear system with a GPU solver specially tailored to our problem. As Laplacian coordinates are not invariant to rotations, we need to align them before solving the linear system. To estimate that rotation robustly, we first compute the local frame at each point and then interpolate the rotations from source to target using quaternions. Finally the cloned patch is stitched to the target mesh, ensuring a smooth result with C continuity at the boundary of the region of interest.
A data-model fusion approach for upscaling gross ecosystem productivity to the landscape scale based on remote sensing and flux footprint modelling

In order to use the global available eddy- covariance (EC) flux dataset and remote-sensing measure- ments to provide estimates of gross primary productivity (GPP) at landscape (10 1 -10 2 km 2 ), regional (10 3 -10 6 km 2 ) and global land surface scales, we developed a satellite- based GPP algorithm using LANDSAT data and an upscal- ing framework. The satellite-based GPP algorithm uses two improved vegetation indices (Enhanced Vegetation Index - EVI, Land Surface Water Index - LSWI). The upscalling framework involves flux footprint climatology modelling and data-model fusion. This approach was first applied to an ev- ergreen coniferous stand in the subtropical monsoon climatic zone of south China. The EC measurements at Qian Yan Zhou tower site (26 44 0 48 00 N, 115 04 0 13 00 E), which belongs to the China flux network and the LANDSAT and MODIS imagery data for this region in 2004 were used in this study. A consecutive series of LANDSAT-like images of the surface reflectance at an 8-day interval were predicted by blending the LANDSAT and MODIS images using an existing algo- rithm (ESTARFM: Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model). The seasonal dynamics of GPP were then predicted by the satellite-based algorithm. MODIS products explained 60% of observed variations of GPP and underestimated the measured annual GPP (= 1879 g C m 2 ) by 25-30%; while the satellite-based algorithm with default static parameters explained 88% of observed variations of GPP but overestimated GPP during the growing seasonal by about 20-25%. The optimization of the satellite-based algo- rithm using a data-model fusion technique with the assistance of EC flux tower footprint modelling reduced the biases in daily GPP estimations from about 2.24 g C m 2 day 1 (non-optimized, 43.5% of mean measured daily value) to 1.18 g C m 2 day 1 (optimized, 22.9% of mean measured daily value). The remotely sensed GPP using the optimized algorithm can explain 92% of the seasonal variations of EC observed GPP. These results demonstrated the potential com- bination of the satellite-based algorithm, flux footprint mod- elling and data-model fusion for improving the accuracy of landscape/regional GPP estimation, a key component for the study of the carbon cycle.
5G mobile networks based on SDN concepts

With The rapid growth of mobile networks data and the emergence of the new services and applications, Mobile operators should provide a several solutions to cope with the challenges of the next 5G mobile networks and to reduce costs. For these reasons, SDN was proposed to be one of the key technology trends that will facilitate the required architectural agility needed in the next 5G mobile networks.Software Defined Networking (SDN) is the highly promising technology to provide innovation and enforce the main drivers in 5G mobile networks such as flexibility, suability, service–oriented management and to reduce costs by the softwarization of the 5G Core networks functions.Thus, there is an immediate need to study the fundamental architectural principles of SDN, and to analyze the integration and application scenarios of this architecture into the next 5G mobile networks. In this paper, we present a survey on the most relevant research works on SDN concepts and SDN integration in mobile networks. We propose a SDN-based architecture for 5G mobile network; we give an over-view of SDN requirements and challenges for SDN integration in 5G, we address the benefits of IPv6 over SDN in 5G and finally we provide the benefits of SDN integration in 5G mobile networks.
Solving the inverse scattering problem with differential evolution: an experimental validation

This work shows the experimental validation of a method developed for determining the strain profile applied to a fiber Bragg grating by solving the inverse scattering problem. The non-uniform strain profile is recovered by formulating an optimization problem, solved with an algorithm based on differential evolution. The method has proved to be able of recovering the shape and approximate amplitude of the actual strain profile applied to the FBG, opening new perspectives for optical sensing with fiber Bragg gratings.
Should the space of basic personality traits be extended to include the disposition toward psychotic-like experiences?

Previous research has shown that there is a latent disposition toward psychotic-like experiences in the general population, labeled Schizotypy. However, there is a dispute over the conceptual status of Schizotypy: does it represent merely psychosis proneness, or is it a broad and general personality trait? If a disposition should be regarded as a personality trait, its scores should be distributed normally in the population and it must show irreducibility in regard to the previously discovered personality traits. In this research, these questions are addressed, using the construct of Disintegration as an operationalization of Schizotypy. The results show that although some modalities of Disintegration have skewed distributions in the student sample (N=345, 65% female), the global Disintegration scores have a normal distribution. Furthermore, Disintegration modalities constitute a latent component which is distinct from the personality traits that form HEXACO model of basic personality structure. Nevertheless, Disintegration shares some variance with the HEXACO traits, especially with the negative poles of Extraversion and Conscientiousness. The results are discussed in regard to a proposition of an extended, seven-factors model of basic personality structure.
Poverty Reduction Strategies: Their Importance for Disability

Excerpt] In recent years, Poverty Reduction Strategy Papers (PRSPs) have made substantial headway in increasing country ownership of poverty reduction strategies and opening the policy dialogue between government and civil society. In the process, PRSPs have emerged as a key instrument for reducing the poverty of poor households. There is a wide consensus that disabled persons, being disproportionately poor, are among the population groups that should benefit from the poverty reduction programs of PRSPs. The issue, however, is whether they are de facto excluded from benefiting from current poverty reduction strategies. As argued by the ILO, PRSPs do not meet the needs of disabled persons because they are based on a limited social protection policy that conveys a wrong impression about the abilities and aspirations of the majority of disabled persons. Furthermore, they do not reflect the basic principles of the modern approach to disability adopted by the United Nations. This report is an attempt to assess the validity of the mentioned argument by reviewing the disability policy content of PRSPs. In doing so, the report focuses on whether the specific poverty dimensions of disabled persons are acknowledged and the critical interventions for improving the economic and social integration of disabled persons are included in PRSPs.
Leaf gas exchange differences between males and females of yerba-mate Condutância estomática, fotossíntese, luz, temperatura, transpiração

A preliminary study was developed on leaf gas exchange properties of males and females in yerbamate (Ilex paraguariensis St. Hil.), planted in open growth conditions. The photosynthesic photon flux density (PPFD) on leaf level, stomatal conductance (gs), net photosynthesis (A), transpiration (E), and leaf temperature (Tl) was measured during the biennial production period: in the summer during the fruit ripening when there is a pause in its growth (January, February), spring sprouting (November) and autumn sprouting (March, Jun). The measurements have been taken in different tree crown positions (inside, exterior and tips). First indications of sex physiological dimorphism in yerba-mate have been shown. Conductance was superior on female plants, with exception on tips, whereas the A and E were superior on females, on the exterior of the third medium of the tree crown. Positive correlations among gas exchange properties and PPFD were established. The seasonality in gas exchange was observed. The maximum gas exchange values were registered in active sprouting whereas the minimum values were registered during fruit ripening, in full summer. A and E were positively correlated with gs for both males and females. The functional strategy of females, aiming to finish the reproductive process, is to proportionate the relative increase of A and E on self-shaded leaves, through the superior gs compared to males.
Representing time-dependent freezing behaviour in immersion mode ice nucleation

In order to understand the impact of ice formation in clouds, a quantitative understanding of ice nucleation is required, along with an accurate and efficient representation for use in cloud resolving models. Ice nucleation by atmospherically relevant particle types is complicated by interparticle variability in nucleating ability, as well as a stochastic, time-dependent, nature inherent to nucleation. Here we present a new and computationally efficient Framework for Reconciling Observable Stochastic Time-dependence (FROST) in immersion mode ice nucleation. This framework is underpinned by the finding that the temperature dependence of the nucleation-rate coefficient controls the residence-time and cooling-rate dependence of freezing. It is shown that this framework can be used to reconcile experimental data obtained on different timescales with different experimental systems, and it also provides a simple way of representing the complexities of ice nucleation in cloud resolving models. The routine testing and reporting of time-dependent behaviour in future experimental studies is recommended, along with the practice of presenting normalised data sets following the methods outlined here.
Census and Conservation Assessment of the Red Colobus (Procolobus Rufomitratus Tephrosceles) on the Ufipa Plateau, Southwest Tanzania: Newly-Discovered, Threatened and Extinct Populations

Abstract: Surveys were carried out in the last remaining forests of southwest Tanzania's Ufipa Plateau to determine the presence, distribution and abundance of the red colobus Procolobus rufomitratus tephrosceles. In 2002, we investigated the Chala and Misheta forests. Chala was in poor condition, and no primates were seen, although it is not known if red colobus ever existed there. There was almost no natural forest remaining in Misheta, and we consider its red colobus population to be now extinct. Analysis of satellite imagery revealed that the Nsangu Forest no longer exists, and we assume its population is also now extinct. In August 2006, a previously undocumented red colobus population was discovered in Mbuzi, 55 km north of the only other extant population in Mbizi. Complete count censuses were performed in Mbuzi and Mbizi. A total of 1,217 individuals were recorded in Mbizi and 137 individuals in Mbuzi, giving a combined total of 1,354 individual Ufipa red colobus. Mean group size in Mbizi was 40.56 (n = 30; SD = 6.57; range 30–56) and in Mbuzi was 34.25 (n = 4; SD = 13.07; range 24–50). The Mbuzi subpopulation may no longer be viable and the subpopulation of Mbizi may be declining. Both forests are heavily degraded and require urgent conservation attention.
Improving non-communicable disease remediation outcomes in Tonga: the importance of domestic fruit production systems: an analysis. Journal of agriculture and rural development in the tropics and subtropics

Non-communicable diseases (NCD) are the leading cause of mortality in the Pacific Island nation of Tonga. Current remedial strategies have focused on promoting healthy food choices based on increased intake of fruits and vegetables. While researchers seek to overcome complex social, gender and cultural practices that impede dietary transition, discontinuous domestic fruit supply chains undermine this effort. With the view to supporting a more holistic approach to NCD remediation in Tonga, this paper provides a preliminary assessment of domestic horticultural supply chains constraints, in support of diversification and expansion of local fruit production. Current impediments and constraints to enhanced local fruit production are presented and possible strategies to increased domestic fruit supply discussed. We present a case for a more consumer-centric approach to industry development, with an emphasis on production systems that are compatible with existing social structures, customary land ownership constraints, and local nutritional needs. ; ;
Salinity effects on anguillicolosis in Atlantic eels: a natural tool for disease control

Anguillicolosis, the disease caused by the invasive nematode Anguillicoloides cras- sus, is one of the many threats facing the already endangered Atlantic eel species. We conducted a systematic review of literature data linking water salinity and prevalence of the infection during the continental phase of Anguilla anguilla and A. rostrata. Overall, we showed a significant negative relationship across all sites (rS = �0.42, n = 77). In order to limit the effect of confounding factors (e.g. variable latitudes and parasite introduction dates), we performed a meta-analysis on the correlation coefficients calculated from data within studies (restricted period and area) and revealed a stronger negative relationship ( - r = �0.75, n = 13). Finally, using our long-term monitor- ing in a French Mediterranean lagoon, we documented a step decrease in both parasite preva- lence and induced swimbladder pathologies in response to increased salinity values. Salinity effects manifested with an apparent threshold value around 15‰ and are readily appreciable in young-of-the-year eels. To date, managing around water salinity parameters remains one of the best options to control the ever-expanding infection (both in aquaculture and in the wild) and to improve the quality of future spawners en route to the Sargasso Sea.
Indices for Assessment of the Quality of Glycemic Control and Glucose Dynamics from Continuous Glucose Monitoring

Objective: To compare indices of the quality of glycemic control and their association with glucose complexity, using composite measures of glycemia and multiscale entropy derived from continuous glucose monitoring datasets. Study design: A retrospective cohort study. Methods: Continuous glucose monitoring data obtained during an observational study involved 256 subjects with type 1 (n = 22), type 2 diabetes (n = 222), and 12 non-diabetic control subjects. We compared the indices for the quality of glycemic control and determined their relationship with glucose profile complexity. The indices evaluated were: Low Blood Glucose Index, High Blood Glucose Index, Average Daily Risk Range (ADRR), Glycemic Risk Assessment Diabetes Equation (GRADE) scores, and the recently introduced Q-score. We used multiscale entropy analysis of the datasets to assess the relationship between glucose dynamics and the indices for the quality of glycemic control. Results: We categorized the study cohort into four groups according to the Q-score (≤ 5.9; Good, 6.0-8.4; Satisfactory, 8.5-11.9; Fair and ≥ 12.0; Poor). An increase in the Q-score was related with worsening of glycemic control as demonstrated by progressively elevated levels of the glucose exposure metrics HbA1c, mean glucose, and the glycemic variability measure %CV. In contrast, the multiscale entropy index decreased across the quality categories, attaining its lowest value at the highest Q-score regarded as Poor. ADRR, GRADE, and Q-score were highly correlated to one another and positively associated with the antidiabetes therapy (r = 0.424 to 0.469), but inversely correlated with the multiscale entropy (r = -0.337, p < 0.001; -0.286, p < 0.001; -0.353, p < 0.001). Conclusions: Indices assessing the quality of glycemic control yield a more comprehensive picture of glucose profiles than just defining a pre-specified target range or the mean value and its dispersion. The multiscale entropy complements these indices by providing insights into the dynamics of the glucoregulatory system not otherwise accessible.