A Model-Based and Goal-Oriented Approach for the Conceptual Design of Smart Grid Services

A solid demand to integrate energy consumption and co-generation emerged worldwide, motivated, on one hand, by the need to diversify and enhance energy supply, and, one the other hand, by the pressure to attend to the requirements of a heterogeneous class of users. The coupling between energy service provision and final users also includes balancing user needs, eliminating excesses, and optimizing energy supply while avoiding blackouts. Another motivation is the challenge of having sustainable sources and many adapted to the user ecosystem. Altogether, these motivations lead to more abstract design approaches to co-generation-distributed systems, such as those based on goal-oriented requirements used to model smart grids. This work considers the available design practices and its difficulties in proposing a new method capable of producing a flexible requirement model that could serve for design and maintenance purposes. We suggest coupling the approach based on goal-oriented requirements with model-based engineering to support such a model. The expected result is a sound and flexible requirements model, including a model for the interaction with the final user (now being considered a producer and consumer simultaneously). A case study is presented, wherein a small energy service system in an isolated community in the Amazon rain forest was designed.

Molecular Morphology and Function of Stromal Cells

The term “stromal cells” refers to a highly heterogeneous class of connective tissue cells that build the infrastructure of any organ and fulfill a variety of fundamental roles in health and disease [...]

Nutraceutical Approach to Chronic Osteoarthritis: From Molecular Research to Clinical Evidence

Osteoarthritis (OA) is a degenerative inflammatory condition of the joint cartilage that currently affects approximately 58 million adults in the world. It is characterized by pain, stiffness, and a reduced range of motion with regard to the arthritic joints. These symptoms can cause in the long term a greater risk of overweight/obesity, diabetes mellitus, and falls and fractures. Although the current guidelines for the treatment of OA suggest, as the gold standard for this condition, pharmacological treatment characterized by non-steroidal anti-inflammatory drugs (NSAID), opioids, and cyclooxygenase (COX)-2-specific drugs, a great interest has been applied to nutraceutical supplements, which include a heterogeneous class of molecules with great potential to reduce inflammation, oxidative stress, pain, and joint stiffness and improve cartilage formation. The purpose of this review is to describe the potential application of nutraceuticals in OA, highlighting its molecular mechanisms of actions and data of efficacy and safety (when available).

Teaching Multiple Inverse Reinforcement Learners

In this paper, we propose the first machine teaching algorithm for multiple inverse reinforcement learners. As our initial contribution, we formalize the problem of optimally teaching a sequential task to a heterogeneous class of learners. We then contribute a theoretical analysis of such problem, identifying conditions under which it is possible to conduct such teaching using the same demonstration for all learners. Our analysis shows that, contrary to other teaching problems, teaching a sequential task to a heterogeneous class of learners with a single demonstration may not be possible, as the differences between individual agents increase. We then contribute two algorithms that address the main difficulties identified by our theoretical analysis. The first algorithm, which we dub SplitTeach, starts by teaching the class as a whole until all students have learned all that they can learn as a group; it then teaches each student individually, ensuring that all students are able to perfectly acquire the target task. The second approach, which we dub JointTeach, selects a single demonstration to be provided to the whole class so that all students learn the target task as well as a single demonstration allows. While SplitTeach ensures optimal teaching at the cost of a bigger teaching effort, JointTeach ensures minimal effort, although the learners are not guaranteed to perfectly recover the target task. We conclude by illustrating our methods in several simulation domains. The simulation results agree with our theoretical findings, showcasing that indeed class teaching is not possible in the presence of heterogeneous students. At the same time, they also illustrate the main properties of our proposed algorithms: in all domains, SplitTeach guarantees perfect teaching and, in terms of teaching effort, is always at least as good as individualized teaching (often better); on the other hand, JointTeach attains minimal teaching effort in all domains, even if sometimes it compromises the teaching performance.

Inborn errors of metabolism: Lessons from iPSC models

The possibility of reprogramming human somatic cells to pluripotency has opened unprecedented opportunities for creating genuinely human experimental models of disease. Inborn errors of metabolism (IEMs) constitute a greatly heterogeneous class of diseases that appear, in principle, especially suited to be modeled by iPSC-based technology. Indeed, dozens of IEMs have already been modeled to some extent using patient-specific iPSCs. Here, we review the advantages and disadvantages of iPSC-based disease modeling in the context of IEMs, as well as particular challenges associated to this approach, together with solutions researchers have proposed to tackle them. We have structured this review around six lessons that we have learnt from those previous modeling efforts, and that we believe should be carefully considered by researchers wishing to embark in future iPSC-based models of IEMs.

Verbal Plurality Cross-Linguistically

This chapter gives a general overview of verbal plurality phenomena cross-linguistically, with verbal plurality understood as a descriptive label for instances of verbal morphology marking multiple events. Verbal plurality markers form a heterogeneous class cross-linguistically and many verbal plurality markers have readings that go beyond event plurality such as duratives and intensives. Part of this variation can be related to the fact that multiplicity readings arise from different sources such as plurality markers, collective markers, additive expressions, and degree expressions. Another factor of variation is contributed by the different event-identification conditions imposed by the verbal plurality marker. In particular, the event pluralities introduced by verbal plurality markers are often limited in their interaction with other elements in the clause and in many languages the availability of distributive dependencies between the event plurality and plural arguments depends on the syntactic type of the plurality denoting expression.

Open But Segregated? Class Divisions And the Network Structure of Social Capital in Chile

This paper studies how social capital is divided across classes in Chile, one of the most unequal countries in the world. We analyse the extent to which upper-, middle-, and lower class individuals congregate in social networks with similar others, while following Bourdieu and expecting that in particular the networks of the higher social strata are segregated in terms of social capital. We test our argument with large-scale, representative survey data for the Chilean urban population aged 18–75 years (n = 2,517) and build an integrated indicator of people’s social class that combines measures of education, occupational class, and household income. Our regression analyses show that upper-class individuals have larger networks and access to more varied and prestigious social resources than their middle- and lower class counterparts. Interestingly, however, we found a U-shaped relationship between social class and class homogeneity, indicating that network segregation is high at the top as well as at the bottom of the class-based social strata. In contrast, the classes in the middle have more heterogeneous class networks, possibly forming an important bridge between the “edges” of the class structure. These findings demonstrate that whereas social and economic capital cumulates in higher classes, the lower classes are socially deprived next to their economic disadvantage.

Influence of Non-Saccharomyces on Wine Chemistry: A Focus on Aroma-Related Compounds

Wine fermentation processes are driven by complex microbial systems, which comprise eukaryotic and prokaryotic microorganisms that participate in several biochemical interactions with the must and wine chemicals and modulate the organoleptic properties of wine. Among these, yeasts play a fundamental role, since they carry out the alcoholic fermentation (AF), converting sugars to ethanol and CO2 together with a wide range of volatile organic compounds. The contribution of Saccharomyces cerevisiae, the reference organism associated with AF, has been extensively studied. However, in the last decade, selected non-Saccharomyces strains received considerable commercial and oenological interest due to their specific pro-technological aptitudes and the positive influence on sensory quality. This review aims to highlight the inter-specific variability within the heterogeneous class of non-Saccharomyces in terms of synthesis and release of volatile organic compounds during controlled AF in wine. In particular, we reported findings on the presence of model non-Saccharomyces organisms, including Torulaspora delbrueckii, Hanseniaspora spp,Lachancea thermotolerans, Metschnikowia pulcherrima, Pichia spp. and Candida zemplinina, in combination with S. cerevisiae. The evidence is discussed from both basic and applicative scientific perspective. In particular, the oenological significance in different kind of wines has been underlined.

“GOOD, BETTER, BEST”

Turner Station, Maryland, is a century-old African American neighborhood just east of Baltimore that housed the families of workers who were employed at a nearby steel plant from the founding of the community in the early 1900s until the plant closed in 2012. Its story provides a window into the lives of the understudied Black working-class during the peak decades of industrial employment and the ensuing decades of decline. Long-time residents recall a vibrant, self-sufficient community with a heterogeneous class structure, produced in part by residential restrictions and employment discrimination that constrained professionals such as physicians and teachers to reside and to practice or work in the neighborhood. They report a high level of collective efficacy and joint responsibility for childrearing. Current and former residents describe a strong emphasis on education as a means of upward mobility. As levels of education rose and residential opportunities opened, the children of the mid-century steelworkers left Turner Station for other communities in the metropolitan area and beyond. As out migration continued, the community suffered a decline: virtually all of the businesses are gone, vacant homes are common, and a more transient population has moved in. The members of the Turner Station diaspora still cherish the memory of the neighborhood, even as many have moved on and up. Their achievements show what happened when a generation of African Americans were given access to decent-paying jobs that did not require a college education—a degree of access that no longer exists because of the decline of industrial employment in the Baltimore region and elsewhere.

Extra-clausal constituents in Functional Discourse Grammar: function and form

This paper presents a first outline of an encompassing account of extra-clausal constituents (ECCs) within the framework of Functional Discourse Grammar (FDG). Drawing primarily on English corpus data, we investigate both the functional and the formal properties of this heterogeneous class of constituents, focusing in particular on their underlying pragmatic structure and contribution to the ongoing discourse, and on the communicative factors relevant to their placement within the larger linguistic expressions within which they occur. More specifically, we suggest that each ECC forms a separate, though invariably dependent unit of communicative behaviour (i.e. a Subsidiary Discourse Act). Moreover, we argue that the mechanism governing the placement of ECCs vis-à-vis both their hosts and each other is fundamentally different from the placement rules proposed in FDG for morphosyntactic units belonging to the clause, phrase or word; the result is a system that captures both the functional constraints on the placement of ECCs and their greater positional freedom.