3,104 research outputs found
The co-production of sustainability by learning networks. The case of reconstruction of knowledge and practices around bread production.
According to transition theories, a full adhesion to sustainability paradigm for agro-
food system requires radical changes, addressed to redefine the whole socio-technical system
underlying food production and consumption practices. Through them a complex re-organization
of systems of knowledge, rules and norms of behaviour, and a re-design of the organisational and
material infrastructures involved in production and consumption practices take place. Many
grassroots initiatives, developing out of the conventional system and aimed at creating alterna-
tives to it, are showing the potentials and also the challenges of this complex process of change.
Interaction and learning processes developing within hybrid networks, including all the diverse
actors engaged in the change, prove to be crucial to this process of innovation. Within these net-
works actors mobilise their knowledge and create new frames of common understanding. This
learning process results in shared knowledge which, translated into new attitudes and practices,
allows a coherent re-configuration of all the components of the system, from the level of produc-
tion to that of consumption.
In this paper we aim at adopting this approach to deal with the innovation pathways that are af-
fecting one of the agro-food chains which has been most transformed over the modernization of
the agro-food system, the production of bread. In response to producers’ and consumers’ needs,
in Italy this chain is at the centre of a myriad of local initiatives. Moving on a common trajectory
of social innovation, they are committed to redefine genetic materials (through a different ap-
proach to research), cultivation techniques and processing technologies (new knowledge and
skills and appropriate equipment), organizational models (territorially and socially embedded),
value chain (grounded on different shared values), cultural meanings. The learning processes that
drive these changes stem from the interaction that develops among a variety of social and institu-
tional actors.
The analysis develops through a case study on a specific learning network in Tuscany. On the
background of the multiple changes involved within the whole chain, an in-depth analysis of the
aspects which interest the reorganization of the production phase allows to highlight the chal-
lenges to be tackled in order to fully pursue sustainability
Academic Dashboard For Monitoring KPI Based Using Data Feeder Dikti
University management requires accurate and fast academic reports that make it easier to make strategic decisions and in order to improve the quality of education. Therefore we need a tool that can monitor, evaluate and measure the performance of universities. A common problem is that there is a lot of academic data stored but to present it in reports at the time of evaluating academic activities is difficult and takes a long time. Academic evaluation can be presented with a dashboard so that it becomes easy for decision making. Dashboard is a page that shows graphs as KPIs (Key Performance Indicators) of an organization and provides all the important measurements needed to make key executive decision making. Universities in Indonesia report data on students, lecturers and lecture activities to the PDDIKTI (Higher Education Database). The data contained in the PDDIKTI Feeder is made an academic Dashboard in the form of visualization to assist and support decision making at the academic level and also to monitor using KPI as an evaluation. With the existence of an academic dashboard based on KPI, the presentation of reports becomes faster and easier to understand because it is in the form of visuals and indicators to find out what things need to be improved and the extent to which the achievements of each academic component are used as benchmarks in submitting study program accreditation
Data analytics for smart parking applications
We consider real-life smart parking systems where parking lot occupancy data are collected from field sensor devices and sent to backend servers for further processing and usage for applications. Our objective is to make these data useful to end users, such as parking managers, and, ultimately, to citizens. To this end, we concoct and validate an automated classification algorithm having two objectives: (1) outlier detection: to detect sensors with anomalous behavioral patterns, i.e., outliers; and (2) clustering: to group the parking sensors exhibiting similar patterns into distinct clusters. We first analyze the statistics of real parking data, obtaining suitable simulation models for parking traces. We then consider a simple classification algorithm based on the empirical complementary distribution function of occupancy times and show its limitations. Hence, we design a more sophisticated algorithm exploiting unsupervised learning techniques (self-organizing maps). These are tuned following a supervised approach using our trace generator and are compared against other clustering schemes, namely expectation maximization, k-means clustering and DBSCAN, considering six months of data from a real sensor deployment. Our approach is found to be superior in terms of classification accuracy, while also being capable of identifying all of the outliers in the dataset
Frugal innovation in the 1.5-metre society:Analysis of the hospitality sector in the metropole region Rotterdam-The Hague
This chapter explores the role of frugal innovation (FI) - an approach to solve local problems through complexity reduction when resources are limited - during restrictive measures (e.g., social distancing; lockdowns; curfews) of the '1.5-metre society'. Based on literature and an empirical case study of restaurants in the Dutch city of The Hague, we show that FI is essential for restaurants to survive the 1.5-metre society. In some cases, it also leads to lasting changes in the 'post-1.5-metre society'. Cities play an essential role for restaurants to survive the crisis due to interaction with other urban actors and provision of public space as temporary terraces. The inner city differs from other districts regarding constraints and solutions. It suffers more from time and space constraints, has a smaller base of loyal customers and is less suited for dine-at-home solutions. However, we do not expect structural changes from entrepreneurial and policy perspectives
Stopping power of hot QCD plasma
The partonic energy loss has been calculated taking both the hard and soft
contributions for all the processes, revealing the importance of the
individual channels. Cancellation of the intermediate separation scale has been
exhibited. Subtleties related to the identical final state partons have
properly been taken into account. The estimated collisional loss is compared
with its radiative counter part. We show that there exists a critical energy
() below which the collisional loss is more than its radiative
counterpart. In addition, we present closed form formulas for both the
collision probabilities and the stopping power ()Comment: revised version, section added, 9pages with 5 figure
Second Harmonic Generation Enabled by Longitudinal Electric Field Components in Photonic Wire Waveguides
We investigate type I second harmonic generation in III-V semiconductor wire
waveguides aligned with a crystallographic axis. In this direction, because of
the single nonzero tensor element of III-V semiconductors, only frequency
conversion by mixing with the longitudinal components of the optical fields is
allowed. We experimentally study the impact of the propagation direction on the
conversion efficiency and confirm the role played by the longitudinal
components through the excitation of an antisymmetric second harmonic higher
order mode
Nonlinear properties of dispersion engineered InGaP photonic wire waveguides in the telecommunication wavelength range
We propose high index contrast InGaP photonic wires as a platform for the integration of nonlinear optical functions in the telecom wavelength window. We characterize the linear and nonlinear properties of these waveguide structures. Waveguides with a linear loss of 12 dB/cm and which are coupled to a single mode fiber through gratings with a -7.5 dB coupling loss are realized. From four wave mixing experiments, we extract the real part of the nonlinear parameter γ to be 475 ± 50 W-1m-1 and from nonlinear transmission measurements we infer the absence of two-photon absorption and measure a three-photon absorption coefficient of (2.5 ± 0.5) × 10-2 cm3GW-2.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
Rastreabilidade de pêssegos produzidos no sistema de produção integrada no Sul do Brasil
Traceability is becoming the most effective method to provide a safer food chain and connection producers to consumers. This paper report the application and validation of a traceability system on the production chain of peaches, according the rules for Integrated Production of Peach (IP) and a Hazard Analysis and Critical Control Point (HACCP) systems. The harvesting plots were discriminated using a Global Positioning System (GPS) device. The horticultural practices were registered in a field book according to the Brazilian IP rules. Boxes to transport the fruit, from the orchard on, were barcode labelled to identify the fruits in terms of origin (orchard and harvesting plot), cultivar, quality, picking date and time. Arriving in the factory, by an optical barcode reading device, the fruits in the boxes were assigned to homogeneous batches. Peach cans were labelled according to their corresponding batch number and monitored based on physical and chemical analysis as preconized by the IP rules and HACCP system. An electronic data base was set up and placed over the Internet. Using the batch number, the history of each peaches can could be traceable back to their harvesting plot. Therefore, manufacturers can monitor the product at any time and take any necessary action, such as product recall and/or product reprocessing.A rastreabilidade está se tornando o mĂ©todo mais efetivo para assegurar uma cadeia alimentar mais segura e conectar produtores e consumidores. Nesse trabalho relatamos a aplicação e validação de um sistema de rastreabilidade na cadeia produtiva do pĂŞssego, de acordo com as Normas Brasileiras para Produção Integrada de PĂŞssego (PIP) e Análises de Perigos e Pontos CrĂticos de Controle (APPCC). As parcelas de colheita foram discriminadas utilizando-se um aparelho de GPS (Global Positioning System). As práticas horticulturais foram registradas no caderno de campo, de acordo com as normas da PIP. As caixas para transportar as frutas, desde a lavoura, foram etiquetadas com cĂłdigo de barra para identificar as frutas em termos de origem (pomar e parcela de colheita), cultivar, qualidade, data e hora de colheita. Na indĂşstria, utilizando-se um leitor Ăłtico de cĂłdigo de barras, as frutas de cada caixa foram alocadas para um determinado lote homogĂŞneo para fins de processamento. As latas de pĂŞssego foram etiquetadas com o nĂşmero do lote homogĂŞneo correspondente, foi monitorado com base em análise fĂsicas e quĂmicas, de acordo com as regras da PIP e da APPCC. Uma base d e dados eletrĂ´nica foi construĂda e disponibilizada atravĂ©s da Internet. Utilizando-se o nĂşmero do lote, foi possĂvel obter todas as informações desde a(s) parcela(s) de colheita correspondente(s) a uma determinada lata de pĂŞssego
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