Search results

This paper seeks to focus on a combined waste (or: wastewater)/energy system in the deep green housing district named “EVA Lanxmeer” in Culemborg (The Netherlands). An innovative mixture of “red and green” development is presented, together with a concept of building integrated decentralized technologies for wastewater and organic waste treatment with energy and nutrients recovery. The concept is called sustainable implant.

The methodology of the research is based on Van Strien's “regulative cycle” in which theoretic parts, on the one hand, and practice‐related parts, on the other hand, are distinguished. The theoretical part concerns a flow analysis of existing and new sustainable technologies for preserving the (energy, water and waste) flows, an analysis of the different options for transportation, the accompanying technical infrastructure, and an analysis of possible levels or scales of implementation. The practice‐related part of the research consists of case studies and the final design of the sustainable implant for the district EVA Lanxmeer.

It is important to change the general attitude towards the different components of design, development, use and management of urban areas. A way to do so is the “interconnection” of different themes and cycles within cities. An example is the linking of sanitation to energy and food production. The paper shows the potentials of integrating solutions concerning energy and sanitation flows as near as possible to its origin of use and/or production. Introducing the analogy of the functioning of buildings (with respect to energy and sanitation flows) with that of a parasite.

The system layout and the dimensioning backgrounds are explained in this paper. Additional emphasis is put on maintenance, conservation and administration of the integrated whole, and the possible consequences for the district and its inhabitants. There are scale limitations concerning the proposed (and realized) systems. Besides that there is a matter of a unique situation with an “intentional community”.

Although two similar systems, however small, have been realized, no other project (in process of realization) can be found worldwide in which there is a linking of urban agriculture, waste(water) treatment and energy production at the scale of an urban district.

Due to the nonrenewable nature of most geoheritage sites, restoration and reconstruction can be extremely difficult or even impossible. The purpose of this study is to create a model for the management of geoheritage conservation and vulnerability.

To develop the initial research model, two steps were taken. First, a systematic review of previous literature was conducted. Second, experts were asked to provide their input through semistructured and structured questionnaires. The statistical population of the research included experts and researchers in geoheritage. To analyze the data, the methods of meta-synthesis, thematic analysis and contextual analysis panels were used.

Based on research findings, a model for the management of geoheritage conservation and vulnerability has been developed. This model focuses on two key variables vulnerability and intervention, and it is based on three approaches: value-led conservation, preventive conservation and value-led management. The vulnerability variable has two dimensions: antecedents and drivers, while the intervention variable includes a management process with six dimensions: transparency, inclusion, institutionalization, communication, implementation and efficiency.

The management model for geoheritage conservation and vulnerability suggests that if the level of vulnerability of geological values can be controlled or reduced through management interventions, it is possible to achieve geoheritage conservation in three levels: physical, functional and visual.

由于大多数地质遗迹具有不可再生性, 修复和重建可能极其困难甚至不可能。当前的研究旨在创建地质遗迹保护和脆弱性的管理模型。

为了开发初始研究模型, 采取了两个步骤。首先, 对以前的文献进行了系统回顾。其次, 要求专家通过半结构化和结构化问卷提供意见。研究的统计人群包括地质遗迹专家和研究人员。为了分析数据, 使用了综合综合、主题分析和背景分析小组的方法。

根据研究结果, 开发了地质遗迹保护和脆弱性的管理模型。该模型侧重于两个关键变量：脆弱性和干预, 并基于三种方法：价值主导的保护、预防性保护和价值主导的管理。脆弱性变量有两个维度：前因和驱动因素, 而干预变量包括一个管理过程, 该过程有六个维度：透明度、包容性、制度化、沟通、实施和效率。

地质遗产保护和脆弱性的管理模型表明, 如果可以通过管理干预来控制或降低地质价值的脆弱性水平, 那么就有可能在物理、功能和视觉三个层面实现地质遗产保护。

Debido a la naturaleza no renovable de la mayoría de los sitios del geopatrimonio, la restauración y reconstrucción pueden ser extremadamente difíciles o incluso imposibles. La presente investigación se llevó a cabo para crear un modelo de gestión de la conservación y la vulnerabilidad del geopatrimonio.

Para desarrollar el modelo de investigación inicial, se siguieron dos pasos. En primer lugar, se realizó una revisión sistemática de la bibliografía anterior. En segundo lugar, se solicitó la opinión de expertos mediante cuestionarios semiestructurados y estructurados. La población estadística de la investigación incluía expertos e investigadores en geopatrimonio. Para analizar los datos se utilizaron los métodos de metasíntesis, análisis temático y panel de análisis contextual.

A partir de los resultados de la investigación, se ha desarrollado un modelo para la gestión de la conservación y la vulnerabilidad del geopatrimonio. Este modelo se centra en dos variables clave: la vulnerabilidad y la intervención, y se basa en tres enfoques: la conservación basada en el valor, la conservación preventiva y la gestión basada en el valor. La variable de vulnerabilidad tiene dos dimensiones: antecedentes e impulsores, mientras que la variable de intervención incluye un proceso de gestión con seis dimensiones: transparencia, inclusión, institucionalización, comunicación, aplicación y eficacia.

El modelo de gestión de la conservación y la vulnerabilidad del geopatrimonio sugiere que si el nivel de vulnerabilidad de los valores geológicos puede controlarse o reducirse mediante intervenciones de gestión, es posible lograr la conservación del geopatrimonio en tres niveles: físico, funcional y visual.

Since the 1990s, public health agencies as well as nutrition and child health experts have recognized breastfeeding as the most appropriate infant-feeding mode for optimal health and psycho-emotional development. Consequently, breastfeeding has become a standard of good mothering, internalized by mothers, who implement a demanding self-discipline to perform breastfeeding. This dedication reflects the delegation of biopolitics to individuals in modern neoliberal societies: authoritative experts inform new parents, who then bear the responsibility of their children's health risk management. They are expected to choose appropriate practices as part of a collective strategy of risk management and anticipation of the future by changing current behaviours, aiming at the emergence of a ‘healthy body and mind’ society. Among these practices, breastfeeding holds a central place due to medical consensus about its benefits. In my ethnography of postpartum consultations by independent midwives in Switzerland, I studied the breastfeeding practices and experiences of home birth parents as part of the ‘holistic care’ provided by these midwives. Shadowing midwives during their postpartum visits between 2014 and 2017, I witnessed parents committing to the body and emotional work required to carry out their ‘breastfeeding project’, designed in continuity with their out-of-hospital birth choice. During their follow-ups, midwives engage with parents in a shared construction of meanings around breastfeeding, anchoring parenting identities in the body. I explore in this chapter the issues raised by the production of lactating maternal bodies and how women engage in body and emotional work to achieve it.

This study aims to look at three classes of first-year students enrolled in an Information Literacy course and examines the difficulties these students encountered when attempting to identify different types of information.

In this study, 41 annotated bibliography assignments, in which students were required to state which type of source they had chosen and why were examined and trends in the misidentification of sources were analysed.

Students in the study misidentified half of the sources they used, and struggled equally when identifying sources they located through library databases and the Internet. Trends in the misidentification of these sources were analysed, leading to recommendations for assisting students with learning how to identify sources.

Although the sample size of this study was small, further research into how students identify different types of information would help librarians develop further strategies for teaching source identification as a first step in the source evaluation process.

Librarians and writing instructors often collaborate to help first-year college students learn how to evaluate the sources they use in research projects, but often overlook making sure these students can first correctly identify the different types of information they are evaluating.

This paper aims to investigate how climatic, market and policy factors interact to determine food production in Togo. Specifically, we estimate acreage and yield response to market prices, weather and policy changes for maize and rice.

We use panel data estimators in a Seemingly Unrelated Regressions Equation (SURE) model with region-level data from the Food and Agriculture Organization statistics department and the National Oceanic and Atmospheric Administration (NOAA) of the US Department of commerce.

We found lower fertilizer price and higher grain price effects on maize acreage and yield. In addition, we found a positive effect of expected rice price on both its acreage and yield. As expected, rainfall during planting months has a significant impact on both maize (April) and paddy (May) acreage allocations. Similarly, total rainfall during the growing season has a positive impact on both maize and paddy yields. Moreover, recent agricultural policy initiative designed to boost domestic food production has significantly increased acreage and yield for maize, and yield for paddy, especially the strategy for agricultural growth.

The dataset includes region-level observations from 1991 to 2012 which limits the observation span. However, we had enough variability in key variables to determine the estimated coefficients.

Although the dataset is limited in time (1991–2012) and uses national-level output prices, this investigation reveals that cropland allocation to maize and rice is sensitive to fertilizer and grain prices, weather expectations and policy interventions. These findings provide evidence for sustainable food production and productivity enhancement in Togo.

Understanding drivers of cropland allocation and cereal yield contribute to better food security and poverty reduction in developing countries, especially Togo.

Prior to this study, little was known on the effect of price, climate and policy on cropland allocation in Togo. This investigation contributes significantly to filling this knowledge gap and provides insights for effective interventions.

The purpose of this paper is to review the current application areas of shape memory alloy (SMA) actuators in intelligent robotic systems and devices.

This paper analyses how actuation and sensing functions of the SMA actuator have been exploited and incorporated in micro and macro robotic devices, developed for medical and non‐medical applications. The speed of response of SMA actuator mostly depends upon its shape and size, addition and removal of heat and the bias force applied. All these factors have impact on the overall size of the robotic device and the degree of freedom (dof) obtained and hence, a comprehensive survey is made highlighting these aspects. Also described are the mechatronic aspects like the software and hardware used in an industrial environment for the control of such nonlinear actuator and the type of sensory feedback devices incorporated for obtaining better control, positioning accuracy and fast response.

SMA actuators find wide applications in various facets of robotic equipments. Selecting a suitable shape, fast heating and cooling method and better intelligent control technique with or without feedback devices could optimize its performance.

The frequency of SMA actuation purely depends on the rate of heat energy added to and removed from the actuator, which in turn depends upon interrelated nonlinear parameters.

For increasing the dof of robots, number of actuators also have to be increased that leads to complex control problems.

Explains the suitability of SMA as actuators in smart robotic systems, possibility of miniaturisation. It also highlights the difficulties faced by the SMA research community.

The potential implications of the three-dimensional printing (3DP) technology are growing enormously in the various health-care sectors, including surgical planning, manufacturing of patient-specific implants and developing anatomical models. Although a wide range of thermoplastic polymers are available as 3DP feedstock, yet obtaining biocompatible and structurally integrated biomedical devices is still challenging owing to various technical issues.

Polyether ether ketone (PEEK) is an organic and biocompatible compound material that is recently being used to fabricate complex design geometries and patient-specific implants through 3DP. However, the thermal and rheological features of PEEK make it difficult to process through the 3DP technologies, for instance, fused filament fabrication. The present review paper presents a state-of-the-art literature review of the 3DP of PEEK for potential biomedical applications. In particular, a special emphasis has been given on the existing technical hurdles and possible technological and processing solutions for improving the printability of PEEK.

The reviewed literature highlighted that there exist numerous scientific and technical means which can be adopted for improving the quality features of the 3D-printed PEEK-based biomedical structures. The discussed technological innovations will help the 3DP system to enhance the layer adhesion strength, structural stability, as well as enable the printing of high-performance thermoplastics.

The content of the present manuscript will motivate young scholars and senior scientists to work in exploring high-performance thermoplastics for 3DP applications.

This study examines comprehensiveness and responsiveness of mission statements for the top 100 retailers on the 2020 National Retailers Federation list in order to (1) evaluate how effectively they communicate organizational identity, values and purpose, (2) underscore a distinctive commitment to stakeholders and (3) what extent these efforts are reflected in revised mission statements or addenda to meet global pandemic challenges.

The study employs a 4-question metric to measure comprehensiveness and a two-pronged qualitative method of analysis consisting of keyword searches followed by content analysis.

Retailer statements are considerably comprehensive in describing purpose and audience yet very few articulate stakeholder value, differentiate themselves as distinctive or substantively reaffirm their core mission and values. Retailers seem more invested in strategic communication around diversity, equity and inclusion, based on web content in their consumer, job seeker and investor touchpoints.

Coding and interpreting language through content analysis methods may introduce some level of subjectivity, particularly when dealing with unstructured data. Implications for how organizations acclimated in order to survive and thrive, while maintaining focus on stakeholders and strategy. Examining organizational mission statements and their contexts yields perspective into how organizations define themselves and what they do during times of crisis.

This study provides insights into the content, structure and functions of the statements against a specific comprehensiveness metric and reveals patterns about the texts and their contexts during a pandemic and strong cultural and societal movements.

Drawing on a dynamic capability view, this study develops a decision support model that determines the most suitable configuration of strategies and challenges to adopt additive manufacturing (AM) to expedite digital transformation and performance improvement of the surgical and medical device (SMD) supply chain.

To investigate the research objective, a multi-method and multi-study research design was deployed using quality function deployment and fuzzy set qualitative comparative analysis.

The study finds that only resilience strategies or negation (i.e. minimisation) of challenges are not enough; instead, a configuration of resilience strategies and negation of challenges is highly significant in enhancing performance.

SMD supply chain decision-makers will find the decision support model presented in this study as beneficial to be resilient against various challenges in the digital transformation of service delivery process.

This study builds new knowledge of the adoption of AM technology in the SMD supply chain. The decision support model developed in this study is unique and highly effective for fostering digital transformation and enhancing SMD supply chain performance.