6,689 research outputs found

    A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching

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    An efficient team is essential for the company to successfully complete new projects. To solve the team formation problem considering person-job matching (TFP-PJM), a 0-1 integer programming model is constructed, which considers both person-job matching and team members' willingness to communicate on team efficiency, with the person-job matching score calculated using intuitionistic fuzzy numbers. Then, a reinforcement learning-assisted genetic programming algorithm (RL-GP) is proposed to enhance the quality of solutions. The RL-GP adopts the ensemble population strategies. Before the population evolution at each generation, the agent selects one from four population search modes according to the information obtained, thus realizing a sound balance of exploration and exploitation. In addition, surrogate models are used in the algorithm to evaluate the formation plans generated by individuals, which speeds up the algorithm learning process. Afterward, a series of comparison experiments are conducted to verify the overall performance of RL-GP and the effectiveness of the improved strategies within the algorithm. The hyper-heuristic rules obtained through efficient learning can be utilized as decision-making aids when forming project teams. This study reveals the advantages of reinforcement learning methods, ensemble strategies, and the surrogate model applied to the GP framework. The diversity and intelligent selection of search patterns along with fast adaptation evaluation, are distinct features that enable RL-GP to be deployed in real-world enterprise environments.Comment: 16 page

    Vegetation responses to variations in climate: A combined ordinary differential equation and sequential Monte Carlo estimation approach

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    Vegetation responses to variation in climate are a current research priority in the context of accelerated shifts generated by climate change. However, the interactions between environmental and biological factors still represent one of the largest uncertainties in projections of future scenarios, since the relationship between drivers and ecosystem responses has a complex and nonlinear nature. We aimed to develop a model to study the vegetation’s primary productivity dynamic response to temporal variations in climatic conditions as measured by rainfall, temperature and radiation. Thus, we propose a new way to estimate the vegetation response to climate via a non-autonomous version of a classical growth curve, with a time-varying growth rate and carrying capacity parameters according to climate variables. With a Sequential Monte Carlo Estimation to account for complexities in the climate-vegetation relationship to minimize the number of parameters. The model was applied to six key sites identified in a previous study, consisting of different arid and semiarid rangelands from North Patagonia, Argentina. For each site, we selected the time series of MODIS NDVI, and climate data from ERA5 Copernicus hourly reanalysis from 2000 to 2021. After calculating the time series of the a posteriori distribution of parameters, we analyzed the explained capacity of the model in terms of the linear coefficient of determination and the parameters distribution variation. Results showed that most rangelands recorded changes in their sensitivity over time to climatic factors, but vegetation responses were heterogeneous and influenced by different drivers. Differences in this climate-vegetation relationship were recorded among different cases: (1) a marginal and decreasing sensitivity to temperature and radiation, respectively, but a high sensitivity to water availability; (2) high and increasing sensitivity to temperature and water availability, respectively; and (3) a case with an abrupt shift in vegetation dynamics driven by a progressively decreasing sensitivity to water availability, without any changes in the sensitivity either to temperature or radiation. Finally, we also found that the time scale, in which the ecosystem integrated the rainfall phenomenon in terms of the width of the window function used to convolve the rainfall series into a water availability variable, was also variable in time. This approach allows us to estimate the connection degree between ecosystem productivity and climatic variables. The capacity of the model to identify changes over time in the vegetation-climate relationship might inform decision-makers about ecological transitions and the differential impact of climatic drivers on ecosystems.Estación Experimental Agropecuaria BarilocheFil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; ArgentinaFil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Perri, Daiana Vanesa. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; ArgentinaFil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Easdale, Marcos Horacio. Instituto Nacional de Tecnologia Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Área de Recursos Naturales; ArgentinaFil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentin

    Annals [...].

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    Pedometrics: innovation in tropics; Legacy data: how turn it useful?; Advances in soil sensing; Pedometric guidelines to systematic soil surveys.Evento online. Coordenado por: Waldir de Carvalho Junior, Helena Saraiva Koenow Pinheiro, Ricardo Simão Diniz Dalmolin

    AIUCD 2022 - Proceedings

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    L’undicesima edizione del Convegno Nazionale dell’AIUCD-Associazione di Informatica Umanistica ha per titolo Culture digitali. Intersezioni: filosofia, arti, media. Nel titolo è presente, in maniera esplicita, la richiesta di una riflessione, metodologica e teorica, sull’interrelazione tra tecnologie digitali, scienze dell’informazione, discipline filosofiche, mondo delle arti e cultural studies

    Hunting Wildlife in the Tropics and Subtropics

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    The hunting of wild animals for their meat has been a crucial activity in the evolution of humans. It continues to be an essential source of food and a generator of income for millions of Indigenous and rural communities worldwide. Conservationists rightly fear that excessive hunting of many animal species will cause their demise, as has already happened throughout the Anthropocene. Many species of large mammals and birds have been decimated or annihilated due to overhunting by humans. If such pressures continue, many other species will meet the same fate. Equally, if the use of wildlife resources is to continue by those who depend on it, sustainable practices must be implemented. These communities need to remain or become custodians of the wildlife resources within their lands, for their own well-being as well as for biodiversity in general. This title is also available via Open Access on Cambridge Core

    The applied psychology of addictive orientations : studies in a 12-step treatment context.

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    The clinical data for the studies was collected at The PROMIS Recovery Centre, a Minnesota Model treatmentc entre for addictions,w hich encouragesth e membership and use of the 12 step Anonymous Fellowships, and is abstinence based. The area of addiction is contextualised in a review chapter which focuses on research relating to the phenomenon of cross addiction. A study examining the concept of "addictive orientations" in male and female addicts is described, which develops a study conductedb y StephensonM, aggi, Lefever, & Morojele (1995). This presents study found a four factor solution which appeared to be subdivisions of the previously found Hedonism and Nurturance factors. Self orientated nurturance (both food dimensions, shopping and caffeine), Other orientated nurturance (both compulsive helping dimensions and work), Sensation seeking hedonism (Drugs, prescription drugs, nicotine and marginally alcohol), and Power related hedonism (Both relationship dimensions, sex and gambling. This concept of "addictive orientations" is further explored in a non-clinical population, where again a four factor solution was found, very similar to that in the clinical population. This was thought to indicate that in terms of addictive orientation a pattern already exists in this non-clinical population and that consideration should be given to why this is the case. These orientations are examined in terms of gender differences. It is suggested that the differences between genders reflect power-related role relationships between the sexes. In order to further elaborate the significance and meaning behind these orientations, the next two chapters look at the contribution of personality variables and how addictive orientations relate to psychiatric symptomatology. Personality variables were differentially, and to a considerable extent predictably involved with the four factors for both males and females.Conscientiousness as positively associated with "Other orientated Nurturance" and negatively associated with "Sensation seeking hedonism" (particularly for men). Neuroticism had a particularly strong association with the "Self orientated Nurturance" factor in the female population. More than twice the symptomatology variance was explained by the factor scores for females than it was for males. The most important factorial predictors for psychiatric symptomatology were the "Power related hedonism" factor for males, and "Self oriented nurturance" for females. The results are discussed from theoretical and treatment perspectives

    Conjunctures in Law and Development: Assemblages for Progress in Indian Agricultural Futures

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    This dissertation asks: how are the legal, political, and social legacies of the Green Revolution and India's incorporation into the global knowledge economy shaping or undermining the emergent discourses, practices, and regulatory rationalities of India's current Climate Smart Agriculture development initiatives? To answer this question, I construct a theoretical/methodological framework that brings together conjunctural analysis, assemblage theory, Foucaultian governmentality, and transnational legal pluralism. I identify two previous historical eras of significant agricultural and developmental change in India: the Green Revolution (1950s-early 1970s) and the liberalization of Indian agriculture as part of India's broader incorporation into the global knowledge economy (1991-mid 2000s). I study the historical relationship between the modern Indian state and Indian farmers across these eras of agricultural and developmental transformation to investigate how they are informing current Climate Smart Agriculture programs, how these contemporary programs work, and the extent to which these programs and the political struggles they incite represent a new historical phase of state power in India. I argue that Climate Smart Agriculture programs and the accompanying introduction of Big Data technology in Indian agriculture should not be understood as a singular event or a unique and novel initiative, but as the most recent project of governmentality mediating the relationship between the Indian state and Indian farmers. This dissertation further shows how relationships between states in the Global South and farmers are shaped by the interplay of technologies (understood both conventionally and in the Foucaultian sense) that are constructed and regulated through the law. I simultaneously demonstrate how the entwined processes of postcolonial state- and subject-making in the domains of agriculture and development always invokes forms of resistance that often result in contradictory regulatory outcomes, which continue to establish the conditions for future political contestation. This dissertation contributes to the field of Socio-legal Studies at large, and the subfields of Law and Development, Law and Globalization/TWAIL, and Green Criminology

    Aggregation of gluten proteins - from wheat seed biology to hydrogels : scientific modelling based primarily on Monte-Carlo and HPLC methods

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    Gluten proteins are intrinsically disordered proteins that form extensive aggregated networks in wheat seeds, where they are stored as a nutrient source for the embryo. A modelling approach involving computational biology with Monte-Carlo algorithms and wet laboratory studies, including HPLC analysis, was applied to unravel the aggregational and hydrogelforming properties of the gluten proteins. Two of the gluten proteins, “αgliadin” and “low molecular weight glutenin subunits” (LMW-GS) were found to have similar size, folding of disordered, rigid and compact structures, elliptical shape and secondary structures of random coils and turns. Both proteins also share an evolutionarily conserved motif resulting in internal disulphide bonds, which were shown to be established through hydrophobic interactions, together with the inherent order of cysteines. In laboratory conditions and simulations, it was found that gliadins formed oligomers by hydrophobic interactions and cross-links by disulphide and lanthionine bonds at peptide sections in the C-terminal part of the protein. At the N-terminal part, the protein formed oligomers by liquid-liquid phase separation, polyproline II structures and β-sheets. Heat and alkaline treatment was shown to favour cross-linking by lanthionine, lysinoalanine and disulphide bonds among gliadins and increase their ability to absorb liquid. Thus the modelling approach successfully characterised the gluten proteins α-gliadin and LMW-GS, the mechanisms by which they form internal and external cross-links, how they merge into oligomers and how to increase their liquid absorption

    Cooperatives in the social and solidarity economy: Sustainable development and decent work in Africa’s informal economy

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    How can the contribution of cooperatives and the wider social and solidarity economy (SSE) to global development frameworks (the Sustainable Development Goals (SDGs) and the Decent Work Agenda (DWA) be made more effective, impactful and visible, in particular with regard the informal economy in sub-Saharan Africa? This thesis seeks to provide an answer to this question through the journey of my professional practice, bridging the gap to academic theory. The thesis critically analyses and builds upon the contributions to knowledge of my portfolio of seven ‘professional practice’ papers published between 1993 and 2020. The papers were written upon request or invitation by the International Labour Organization (ILO), the UN Department for Economic and Social Affairs, the Plunkett Foundation, and the Friedrich-Ebert Foundation. The thesis starts with a contextual overview of the state of the field from both practice and theory. This is followed by a literature review which examines academic theory in relation to, and interaction between, the five focus areas of my thesis (cooperatives, SSE, DWA, SDGs, informal economy) within the context of neoliberal policies in Africa. I then critically reflect on the methodological, theoretical and political aspects of my seven publications. Finally, I pin-point directions for future research. I conclude that the SSE’s potential to contribute to sustainable development and decent work in Africa is far from being fully harnessed, for the reason that most policy-makers, researchers and practitioners lack cognizance of the existence and agency of member-based organizations that constitute the SSE. Through the journey of writing the theses I have developed a conceptual model and an accompanying tool to systematically identify and evaluate the synergies and complementarities between the four dimensions of sustainable development (economic, social, environmental and institutional), the four pillars of decent work (jobs, protection, dialogue, rights), and the four functions of the SSE (economic opportunities, social security, societal empowerment, environmental protection). This then helps to identify SSE-pertinent SDG targets, and to determine which types of organizations in the SSE are best suited to contribute to specific SDG targets. I consider this conceptual model and its accompanying tool as an original contribution to knowledge of theoretical and practical applicability
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