Trabalho e riscos de adoecimento : um estudo entre policiais civis

Este estudo teve como objetivo avaliar a percepção que os policiais civis do DF têm sobre o seu contexto de trabalho, suas exigências, assim como as vivências e os problemas físicos, psicológicos e sociais causados pelo trabalho, procurando fazer inferências sobre as estratégias de mediação utilizadas para evitar o sofrimento e os riscos de adoecimento. Foi aplicado o Inventário do Trabalho e Riscos de Adoecimento (ITRA) em 160 policiais civis, homens e mulheres, recém empossados na Instituição (tempo médio de oito meses de ingresso na Instituição). Os resultados indicaram que, apesar de não ficarem evidentes danos graves à saúde do policial novato, há riscos de acontecerem falhas nas estratégias de mediação em relação a fatores que levam ao adoecimento. _________________________________________________________________________________________ ABSTRACT

Principal Effectiveness: Middle School Leaders' Perceptions Of Principal Practices To Improve Middle School Reading Achievement

ABSTRACT Title of Document: PRINCIPAL EFFECTIVENESS: MIDDLE SCHOOL LEADERS’ PERCEPTIONS OF PRINCIPAL PRACTICES TO IMPROVE MIDDLE SCHOOL READING ACHIEVEMENT Kathleen R. Brady, Doctor of Education, 2016 Directed By: Dr. John Norris, Department of Education The purpose of this exploratory and descriptive study was to examine school leaders’ perceptions of leadership practices that contribute to principal effectiveness in improving reading achievement in middle schools in a large public school district. The data was gathered through the use of a Web-based survey that was emailed to 97 school based leaders including 20 principals, 40 assistant principals, 17 reading department chairpersons, and 20 professional development lead teachers in middle schools with grade 6-8 and 7-8 configurations. Data were collected and analyzed in order to make inferences about principal practices at middle school. The findings of this study indicated few differences between middle school principals’, assistant principals’, reading department chairpersons’, and professional development lead teachers’ perceptions of principal leadership practices that are most important to and have the greatest impact on student reading achievement success. Furthermore, the findings indicated that participants’ three top ranked resources needed to increase the effectiveness of principals in order to improve reading achievement at middle schools include implementing a collaborative planning protocol to support literacy instruction, adding a reading coach to the middle school staff, and providing professional development activities focused on literacy instruction across the content areas. The results were used to make recommendations that may contribute to middle school principal effectiveness.

Synthetic Circuits for Feedback and Detection in Bacteria

Synthetic biology, by co-opting molecular machinery from existing organisms, can be used as a tool for building new genetic systems from scratch, for understanding natural networks through perturbation, or for hybrid circuits that piggy-back on existing cellular infrastructure. Although the toolbox for genetic circuits has greatly expanded in recent years, it is still difficult to separate the circuit function from its specific molecular implementation. In this thesis, we discuss the function-driven design of two synthetic circuit modules, and use mathematical models to understand the fundamental limits of circuit topology versus operating regimes as determined by the specific molecular implementation. First, we describe a protein concentration tracker circuit that sets the concentration of an output protein relative to the concentration of a reference protein. The functionality of this circuit relies on a single negative feedback loop that is implemented via small programmable protein scaffold domains. We build a mass-action model to understand the relevant timescales of the tracking behavior and how the input/output ratios and circuit gain might be tuned with circuit components. Second, we design an event detector circuit with permanent genetic memory that can record order and timing between two chemical events. This circuit was implemented using bacteriophage integrases that recombine specific segments of DNA in response to chemical inputs. We simulate expected population-level outcomes using a stochastic Markov-chain model, and investigate how inferences on past events can be made from differences between single-cell and population-level responses. Additionally, we present some preliminary investigations on spatial patterning using the event detector circuit as well as the design of stationary phase promoters for growth-phase dependent activation. These results advance our understanding of synthetic gene circuits, and contribute towards the use of circuit modules as building blocks for larger and more complex synthetic networks.

Probabilistic methods for seasonal forecasting in a changing climate: Cox-type regression models.

For climate risk management, cumulative distribution functions (CDFs) are an important source of information. They are ideally suited to compare probabilistic forecasts of primary (e.g. rainfall) or secondary data (e.g. crop yields). Summarised as CDFs, such forecasts allow an easy quantitative assessment of possible, alternative actions. Although the degree of uncertainty associated with CDF estimation could influence decisions, such information is rarely provided. Hence, we propose Cox-type regression models (CRMs) as a statistical framework for making inferences on CDFs in climate science. CRMs were designed for modelling probability distributions rather than just mean or median values. This makes the approach appealing for risk assessments where probabilities of extremes are often more informative than central tendency measures. CRMs are semi-parametric approaches originally designed for modelling risks arising from time-to-event data. Here we extend this original concept beyond time-dependent measures to other variables of interest. We also provide tools for estimating CDFs and surrounding uncertainty envelopes from empirical data. These statistical techniques intrinsically account for non-stationarities in time series that might be the result of climate change. This feature makes CRMs attractive candidates to investigate the feasibility of developing rigorous global circulation model (GCM)-CRM interfaces for provision of user-relevant forecasts. To demonstrate the applicability of CRMs, we present two examples for El Ni ? no/Southern Oscillation (ENSO)-based forecasts: the onset date of the wet season (Cairns, Australia) and total wet season rainfall (Quixeramobim, Brazil). This study emphasises the methodological aspects of CRMs rather than discussing merits or limitations of the ENSO-based predictors.

Study on Bivariate Normal Distribution

Let (X, Y) be bivariate normal random vectors which represent the responses as a result of Treatment 1 and Treatment 2. The statistical inference about the bivariate normal distribution parameters involving missing data with both treatment samples is considered. Assuming the correlation coefficient ρ of the bivariate population is known, the MLE of population means and variance (ξ, η, and σ2) are obtained. Inferences about these parameters are presented. Procedures of constructing confidence interval for the difference of population means ξ – η and testing hypothesis about ξ – η are established. The performances of the new estimators and testing procedure are compared numerically with the method proposed in Looney and Jones (2003) on the basis of extensive Monte Carlo simulation. Simulation studies indicate that the testing power of the method proposed in this thesis study is higher.

Dynamic Bayesian network for semantic place classification in mobile robotics

In this paper, the problem of semantic place categorization in mobile robotics is addressed by considering a time-based probabilistic approach called dynamic Bayesian mixture model (DBMM), which is an improved variation of the dynamic Bayesian network. More specifically, multi-class semantic classification is performed by a DBMM composed of a mixture of heterogeneous base classifiers, using geometrical features computed from 2D laserscanner data, where the sensor is mounted on-board a moving robot operating indoors. Besides its capability to combine different probabilistic classifiers, the DBMM approach also incorporates time-based (dynamic) inferences in the form of previous class-conditional probabilities and priors. Extensive experiments were carried out on publicly available benchmark datasets, highlighting the influence of the number of time-slices and the effect of additive smoothing on the classification performance of the proposed approach. Reported results, under different scenarios and conditions, show the effectiveness and competitive performance of the DBMM.

Estudio de los indicadores de rendimiento de aprendizaje tras la implementación de un programa de intervención tradicional y alternativo para la enseñanza del baloncesto

El objetivo de este trabajo fue analizar las diferencias en el aprendizaje adquirido por alumnos que aprenden bajo dos metodologías de enseñanza-aprendizaje diferentes. La muestra estuvo conformada por 47 escolares, 38.3% chicos y el 61.7% chicas, distribuidos en dos grupos escolares de quinto de Educación Primaria, a los que se aplicó un programa de intervención bajo una metodología comprensiva (n=24) y otro bajo una metodología tradicional o técnica (n=27). Los programas de intervención fueron validados por un panel de expertos. La codificación de las variables y el cálculo de los indicadores de aprendizaje se realizó con el instrumento para la medición de los aprendizajes y rendimiento en baloncesto. El análisis de confiabilidad inter-observadores a través del Multirater κfree fue óptimo (κ≥.80). Se realizó un análisis descriptivo de los indicadores de aprendizaje, un ANOVA para identificar las diferencias entre programas y se exploraron los efectos reales de las puntuaciones a través del cálculo de las inferencias basadas en la magnitud. Los resultados muestran la mejora del alumnado que recibió el programa bajo una metodología alternativa, observándose mayores aprendizajes tanto en los indicadores de rendimiento de toma de decisión (p≤ .01), de eficacia (p≤ .05), e indicador de rendimiento total (p≤ .05).

A Grammar of Tajio. A Language Spoken in Central Sulawesi

This work is a description of Tajio, a Western Malayo-Polynesian language spoken in Central Sulawesi, Indonesia. It covers the essential aspects of Tajio grammar without being exhaustive. Tajio has a medium sized phoneme inventory consisting of twenty consonants and five vowels. The language does not have lexical (word) stress; rather, it has a phrasal accent. This phrasal accent regularly occurs on the penultimate syllable of an intonational phrase, rendering this syllable auditorily prominent through a pitch rise. Possible syllable structures in Tajio are (C)V(C). CVN structures are allowed as closed syllables, but CVN syllables in word-medial position are not frequent. As in other languages in the area, the only sequence of consonants allowed in native Tajio words are sequences of nasals followed by a homorganic obstruent. The homorganic nasal-obstruent sequences found in Tajio can occur word-initially and word-medially but never in word-final position. As in many Austronesian languages, word class classification in Tajio is not straightforward. The classification of words in Tajio must be carried out on two levels: the morphosyntactic level and the lexical level. The open word classes in Tajio consist of nouns and verbs. Verbs are further divided into intransitive verbs (dynamic intransitive verbs and statives) and dynamic transitive verbs. Based on their morphological potential, lexical roots in Tajio fall into three classes: single-class roots, dual-class roots and multi-class roots. There are two basic transitive constructions in Tajio: Actor Voice and Undergoer Voice, where the actor or undergoer argument respectively serves as subjects. It shares many characteristics with symmetrical voice languages, yet it is not fully symmetric, as arguments in AV and UV are not equally marked. Neither subjects nor objects are marked in AV constructions. In UV constructions, however, subjects are unmarked while objects are marked either by prefixation or clitization. Evidence from relativization, control and raising constructions supports the analysis that AV and UV are in fact transitive, with subject arguments and object arguments behaving alike in both voices. Only the subject can be relativized, controlled, raised or function as the implicit subject of subjectless adverbial clauses. In contrast, the objects of AV and UV constructions do not exhibit these features. Tajio is a predominantly head-marking language with basic A-V-O constituent order. V and O form a constituent, and the subject can either precede or follow this complex. Thus, basic word order is S-V-O or V-O-S. Subject, as well as non-subject arguments, may be omitted when contextually specified. Verbs are marked for voice and mood, the latter of which is is obligatory. The two values distinguished are realis and non-realis. Depending on the type of predicate involved in clause formation, three clause types can be distinguished: verbal clauses, existential clauses and non-verbal clauses. Tajio has a small number of multi-verbal structures that appear to qualify as serial verb constructions. SVCs in Tajio always include a motion verb or a directional.

Knowledge and writing in school mathematics : a communicational approach

This thesis is about young students’ writing in school mathematics and the ways in which this writing is designed, interpreted and understood. Students’ communication can act as a source from which teachers can make inferences regarding students’ mathematical knowledge and understanding. In mathematics education previous research indicates that teachers assume that the process of interpreting and judging students’ writing is unproblematic. The relationship between what students’ write, and what they know or understand, is theoretical as well as empirical. In an era of increased focus on assessment and measurement in education it is necessary for teachers to know more about the relationship between communication and achievement. To add to this knowledge, the thesis has adopted a broad approach, and the thesis consists of four studies. The aim of these studies is to reach a deep understanding of writing in school mathematics. Such an understanding is dependent on examining different aspects of writing. The four studies together examine how the concept of communication is described in authoritative texts, how students’ writing is viewed by teachers and how students make use of different communicational resources in their writing. The results of the four studies indicate that students’ writing is more complex than is acknowledged by teachers and authoritative texts in mathematics education. Results point to a sophistication in students’ approach to the merging of the two functions of writing, writing for oneself and writing for others. Results also suggest that students attend, to various extents, to questions regarding how, what and for whom they are writing in school mathematics. The relationship between writing and achievement is dependent on students’ ability to have their writing reflect their knowledge and on teachers’ thorough knowledge of the different features of writing and their awareness of its complexity. From a communicational perspective the ability to communicate [in writing] in mathematics can and should be distinguished from other mathematical abilities. By acknowledging that mathematical communication integrates mathematical language and natural language, teachers have an opportunity to turn writing in mathematics into an object of learning. This offers teachers the potential to add to their assessment literacy and offers students the potential to develop their communicational ability in order to write in a way that better reflects their mathematical knowledge.

Ontologies and the Semantic Web: Problems and Perspectives for LIS Professionals

Many years have passed since Berners-Lee envi- sioned the Web as it should be (1999), but still many information professionals do not know their precise role in its development, especially con- cerning ontologies –considered one of its main elements. Why? May it still be a lack of under- standing between the different academic commu- nities involved (namely, Computer Science, Lin- guistics and Library and Information Science), as reported by Soergel (1999)? The idea behind the Semantic Web is that of several technologies working together to get optimum information re- trieval performance, which is based on proper resource description in a machine-understandable way, by means of metadata and vocabularies (Greenberg, Sutton and Campbell, 2003). This is obviously something that Library and Information Science professionals can do very well, but, are we doing enough? When computer scientists put on stage the ontology paradigm they were asking for semantically richer vocabularies that could support logical inferences in artificial intelligence as a way to improve information retrieval systems. Which direction should vocabulary development take to contribute better to that common goal? The main objective of this paper is twofold: 1) to identify main trends, issues and problems con- cerning ontology research and 2) to identify pos- sible contributions from the Library and Information Science area to the development of ontologies for the semantic web. To do so, our paper has been structured in the following manner. First, the methodology followed in the paper is reported, which is based on a thorough literature review, where main contributions are analysed. Then, the paper presents a discussion of the main trends, issues and problems concerning ontology re- search identified in the literature review. Recom- mendations of possible contributions from the Library and Information Science area to the devel- opment of ontologies for the semantic web are finally presented.

Produção e degradação da serrapilheira de espécies lenhosas da caatinga e sua contribuição na recuperação de áreas degradadas.

Resumo: O entendimento do fluxo de produção e do aporte de nutrientes via decomposição da serrapilheira e as interações do processo com parâmetros edáficos e ciclagem de nutrientes de espécies nativas da Caatinga têm sido pouco estudados. O conhecimento sobre ciclagem de nutrientes em florestas manejadas também permite inferências sobre as espécies com maior capacidade de reciclagem de nutrientes e seu potencial para recuperação de áreas degradadas. Objetivou-se com isso avaliar a produção e a degradação da serrapilheira de oito espécies lenhosas da Caatinga e mensurar os efeitos de sua aplicação sobre a fertilidade do solo e sobre a produção de sorgo em solo degradado. Para isso realizou-se três ensaios: para o ensaio I quantificou-se a produção de serrapilheira em um delineamento inteiramente casualizado com 6 repetições, por meio da instalação de coletores sob a projeção da copa das espécies (tratamentos): mofumbo, sabiá, jurema-preta, jucá, catingueira, pereiro, pau-branco e marmeleiro, sendo o material coletado mensalmente; foram quantificadas a produção das frações folhas, caule, material reprodutivo, miscelânea e total, bem como o aporte de nutrientes no período chuvoso e seco. Para o ensaio II avaliou-se a taxa de degradação da fração folhas de cada espécie citada por meio da utilização de litter bags, em delineamento inteiramente casualizado com 4 repetições, as coletas foram aos 0, 30, 60, 90, 120 e 150 dias, em seguida quantificou-se os macro e micronutrientes, celulose, lignina e carbono em cada tempo de amostragem. Para o ensaio III, realizou-se experimento em casa de vegetação para mensurar os efeitos da aplicação dos resíduos da serrapilheira das mesmas espécies mencionadas nos ensaios anteriores (I e II) sobre a fertilidade do solo e a produção de sorgo em solo degradado, neste experimento adotou-se o delineamento em blocos casualizados com 5 tratamentos e 5 repetições, sendo avaliadas doses equivalentes a: 0, 15, 30, 60 e 120 kg ha-1 de N dos resíduos de cada espécie e um tratamento adicional com adubação mineral, totalizando 30 unidades experimentais para cada espécie. As variáveis mensuradas foram biométricas, biomassa, teor relativo de clorofila e nitrogênio total, além de análises de fertilidade do solo. Com a análise dos dados verificou-se que a época de maior produção de serrapilheira ocorreu no final do período chuvoso para o início do período seco. A espécie jucá apresentou maior produção de serrapilheira, comparado às outras espécies. O nutriente cálcio apresentou maior acúmulo na serrapilheira para as espécies mofumbo, sabiá, catingueira, pereiro e marmeleiro e o nitrogênio foi superior para as espécies jurema-preta, jucá e pau-branco. Para todas as espécies avaliadas no ensaio de degradação houve redução significativa na sua biomassa em relação ao tempo zero, apresentando a seguinte ordem de velocidade de decomposição: jurema-preta > catingueira > pau-branco > jucá > marmeleiro > mofumbo > pereiro > sabiá. No ensaio de fertilização com os resíduos verificou-se que o marmeleiro promoveu efeitos negativos no solo, como acidificação. Porém, a aplicação dos resíduos da espécie pau-branco foi a que promoveu aumento nos valores de K, SB e CEC do solo e na produção do sorgo os resíduos de jurema-preta e pau-branco foram as que promoveram aumento na massa seca das plantas. Enquanto a adubação mineral proporcionou aumento na produção de massa seca do sorgo, demonstrando que a associação entre adubo mineral e o uso da serrapilheira de espécies da Caatinga pode ser uma opção viável para acelerar a recuperação de solos degradados. Abstract: The understanding of the production flow and nutrient supply via decomposition of litter and process interactions with edaphic parameters and nutrient cycling of native species of the Caatinga has been little studied. The knowledge of nutrient cycling in managed forests also allow inferences about species with capacity greater nutrient recycling capacity and its potential for recovery of degraded areas. This study aimed to evaluate the production and litter degradation 8 woody species of Caatinga and measure the effects of its application on soil fertility and production of sorghum in degraded soil. To this was carried out three tests: for the test I quantified the production of litter in a completely randomized design with 6 replications, by installing collectors under the canopy projection in the species (treatments): mofumbo, sabiá, jurema-preta, jucá, catingueira, pereiro, pau-branco and marmeleiro for each species, and the material collected monthly, were quantified the production of fractions leaves, stem, reproductive material, miscellany and total nutrient intake in the rainy and dry season. For II test evaluated the degradation rate of the fraction leaves through the use of litter bags, in a completely randomized design with 4 replications, the collected was 0, 30, 60, 90, 120 and 150 days and quantitated nutrients, cellulose, lignin and carbon at each evaluation time. For the III test, there was the experiment in a greenhouse to measure the effects of the application of litter waste of the same species of previous tests (I and II) on soil fertility and production of sorghum in degraded soil, was adopted the randomized block design with 5 treatments and 5 replications and evaluated doses equivalent to: 0, 15, 30, 60 and 120 kg ha-1 N of waste each species and an additional treatment with mineral fertilizer, totaling 30 experimental units for each species. Biometric analysis and biomass, relative chlorophyll content and total nitrogen were proceeded. In addition to soil fertility analysis. With the data analysis it was found that the time of greatest litterfall occurred at the end of the rainy season to the beginning of the dry season. The jucá species showed higher production compared to other species. The nutrient calcium had higher accumulation for the species mofumbo, sabiá, catingueira, pereiro and marmeleiro and nitrogen was higher for species jurema-preta, jucá and pau-branco. All species evaluated in degradation test had a significant reduction in biomass over time zero. They presented the following order of decomposition rate: jurema-preta > catingueira > pau-branco > jucá > marmeleiro > mofumbo > pereiro > sabiá. For fertility test it was found that marmeleiro promoted negative effects on soil, such as acidification. However, pau-branco was the specie that promoted further improvements in the K values, SB and CEC to the soil and for the production of sorghum, the waste jurema-preta and pau-branco promoted increase in dry matter plants. While the mineral fertilization provided an increase in dry matter production of sorghum, demonstrating that the combination of mineral fertilizer and the use of litter of Caatinga species may be a viable option to speed up the recovery of degraded soils.

Ethical Perspectives on Big Data in Agri-food: Ownership and Governance for Safety

Big data are reshaping the way we interact with technology, thus fostering new applications to increase the safety-assessment of foods. An extraordinary amount of information is analysed using machine learning approaches aimed at detecting the existence or predicting the likelihood of future risks. Food business operators have to share the results of these analyses when applying to place on the market regulated products, whereas agri-food safety agencies (including the European Food Safety Authority) are exploring new avenues to increase the accuracy of their evaluations by processing Big data. Such an informational endowment brings with it opportunities and risks correlated to the extraction of meaningful inferences from data. However, conflicting interests and tensions among the involved entities - the industry, food safety agencies, and consumers - hinder the finding of shared methods to steer the processing of Big data in a sound, transparent and trustworthy way. A recent reform in the EU sectoral legislation, the lack of trust and the presence of a considerable number of stakeholders highlight the need of ethical contributions aimed at steering the development and the deployment of Big data applications. Moreover, Artificial Intelligence guidelines and charters published by European Union institutions and Member States have to be discussed in light of applied contexts, including the one at stake. This thesis aims to contribute to these goals by discussing what principles should be put forward when processing Big data in the context of agri-food safety-risk assessment. The research focuses on two interviewed topics - data ownership and data governance - by evaluating how the regulatory framework addresses the challenges raised by Big data analysis in these domains. The outcome of the project is a tentative Roadmap aimed to identify the principles to be observed when processing Big data in this domain and their possible implementations.

Reinforcement learning over encrypted data

Reinforcement learning is a particular paradigm of machine learning that, recently, has proved times and times again to be a very effective and powerful approach. On the other hand, cryptography usually takes the opposite direction. While machine learning aims at analyzing data, cryptography aims at maintaining its privacy by hiding such data. However, the two techniques can be jointly used to create privacy preserving models, able to make inferences on the data without leaking sensitive information. Despite the numerous amount of studies performed on machine learning and cryptography, reinforcement learning in particular has never been applied to such cases before. Being able to successfully make use of reinforcement learning in an encrypted scenario would allow us to create an agent that efficiently controls a system without providing it with full knowledge of the environment it is operating in, leading the way to many possible use cases. Therefore, we have decided to apply the reinforcement learning paradigm to encrypted data. In this project we have applied one of the most well-known reinforcement learning algorithms, called Deep Q-Learning, to simple simulated environments and studied how the encryption affects the training performance of the agent, in order to see if it is still able to learn how to behave even when the input data is no longer readable by humans. The results of this work highlight that the agent is still able to learn with no issues whatsoever in small state spaces with non-secure encryptions, like AES in ECB mode. For fixed environments, it is also able to reach a suboptimal solution even in the presence of secure modes, like AES in CBC mode, showing a significant improvement with respect to a random agent; however, its ability to generalize in stochastic environments or big state spaces suffers greatly.

A cohomological approach to Ruelle-Pollicott resonances and speed of mixing of Anosov diffeomorphisms

Given a transitive Anosov diffeomorphism on a closed manifold it is known that, for smooth enough observables, the system is mixing w.r.t. the measure of maximal entropy. Therefore, it makes sense to investigate the speed of decay of correlations and to look for the so-called Ruelle-Pollicott resonances, in order to determine a complete asymptotics for the decay of correlations. In this thesis we are able to find the first terms of that asymptotics and to prove an estimate for the speed of decaying of correlations. The proof is based on a surprising connection between the action of a transfer operator on suitable anisotropic Banach spaces of currents and the action induced by the Anosov map on the de Rham cohomology.

Ethics in the flesh: formalizing moral values in embodied cognition

Values are beliefs or principles that are deemed significant or desirable within a specific society or culture, serving as the fundamental underpinnings for ethical and socio-behavioral norms. The objective of this research is to explore the domain encompassing moral, cultural, and individual values. To achieve this, we employ an ontological approach to formally represent the semantic relations within the value domain. The theoretical framework employed adopts Fillmore’s frame semantics, treating values as semantic frames. A value situation is thus characterized by the co-occurrence of specific semantic roles fulfilled within a given event or circumstance. Given the intricate semantics of values as abstract entities with high social capital, our investigation extends to two interconnected domains. The first domain is embodied cognition, specifically image schemas, which are cognitive patterns derived from sensorimotor experiences that shape our conceptualization of entities in the world. The second domain pertains to emotions, which are inherently intertwined with the realm of values. Consequently, our approach endeavors to formalize the semantics of values within an embodied cognition framework, recognizing values as emotional-laden semantic frames. The primary ontologies proposed in this work are: (i) ValueNet, an ontology network dedicated to the domain of values; (ii) ISAAC, the Image Schema Abstraction And Cognition ontology; and (iii) EmoNet, an ontology for theories of emotions. The knowledge formalization adheres to established modeling practices, including the reuse of semantic web resources such as WordNet, VerbNet, FrameNet, DBpedia, and alignment to foundational ontologies like DOLCE, as well as the utilization of Ontology Design Patterns. These ontological resources are operationalized through the development of a fully explainable frame-based detector capable of identifying values, emotions, and image schemas generating knowledge graphs from from natural language, leveraging the semantic dependencies of a sentence, and allowing non trivial higher layer knowledge inferences.