Search Results (12)

If modern Western disciplinary structures, laid forth by Dilthey and others in the 19th century, have helped structure the world in ways that bring about climate change and gross economic inequities (along with many “good” things such as vaccines and some modern comforts), how might we re-structure our thinking and learning in ways that address these violent lacunae? What does it mean to educate in a truly globalized world that is facing climate change, extinction, and growing injustice? The answer to that surely cannot be “more of the same”. Following the work of critical theorists and the ideas of Paulo Freire and bell hooks, among others, this essay argues that education should be about imagining and working toward a more just and ecologically sound version of the planetary future in a way that is attentive to as much input as possible from multiple perspectives (human and non). The goals of such an education are connective, grounding, and encountering “others” rather than reductive, productive, and geared toward technology transfer. What would it mean to undiscipline or open our disciplinary categories in ways that reattune us to the changing, entangled planet of which we are a part? What will it take to develop planetary humanities and technologies? If humans are not exceptions to the rest of the natural world, and if the nonhuman world is not just dead matter to be used toward human ends, then how do we go about re-grounding our epistemologies within the planet, rather than continuously thinking “out of this world”? The first part of this essay offers a critique of the reductive and productive model that turns the world into a “standing reserve” for use by some humans. The second part of the essay outlines some principles for knowledge that are more connective, grounding and enable us to counter the multiple others within the planetary community. Such “planetary” knowledge reminds humans of the humus of our humanity, connects us to other life found through compassion (to suffer with), reminds us of the justice of good company (sharing of bread/resources), and focuses on the playfulness of public, political conversations (the ability to be converted to another’s point of view). In the third part, I suggest some grounded metaphors for planetary thinking: wild and slow thinking, elemental and grounded thinking, and creaturely and mycelium thinking. Full article

Renewable power generation has experienced significant global deployment, leading to the replacement of synchronous generators, which traditionally defined the slow dynamics of power systems. As a result, stability issues related to converter dynamics are becoming increasingly prominent. It is crucial for the grid system to be sure that the renewable generation is robust with regard to the converter dynamics to avoid instability issues. This paper focuses on enhancing wind farm robustness to minimize the risk of converter-driven stability phenomena, considering both grid-feeding and grid-forming control schemes. Three software solutions to improve the stability criteria at the wind turbine level are evaluated, assessing their impact on system performance across various frequency ranges. Additionally, a second solution at the plant level, separate from the software solutions, is also included in the scope of the paper. Moreover, a trade-off analysis was carried out to evaluate these different solutions. Finally, the results showed that the stability criteria can be improved by adopting software solutions without additional costs, but the filter as a plant solution could mitigate the harmonic emission and provide extra reactive power capabilities. Full article

Organic cassava flour and products are in high demand. However, the expansion of organic cassava (OCS) production is rather slow. To increase OCS production, extension workers, cassava flour mills, farmers, and researchers have been collaborating to support the farmers, but the planted areas have remained limited. This research aimed at understanding the current issues in scaling up the organic cassava production. The findings were subsequently used to formulate scenarios and recommendations for the collaborative scale-up of organic cassava production in the Mekong River Basin (MRB). We carried out a six-step foresight process with leaders of organic cassava farmers, the staff of organic cassava flour mills and factories, extension workers, the staff of research agencies, and local policy makers in Thailand. The results revealed two key factors or drivers of changes, namely, the degree of collaboration among stakeholders using multiple-view scenarios or a single-view situation and the degree of learning and communication about OCS that future stakeholders are likely to experience. Four possible scenarios for a scaling-up system of OCS production in the MRB were developed. The foresight process allowed for recognizing multiple views and opinions about the OCS production scaling-up process, considered as a whole system. The system was found to consist of various interdependent components. The process highlighted the need to increase the capacity and opportunities for productive collaboration in research and development. We concluded that the MRB members should issue a policy formulating a joint task force to coordinate the existing institutions’ plans and resources towards an actionable OCS production scaling-up system for the MRB in 2030. Full article

Remote sensing object detection is a difficult task because it often requires real-time feedback through numerous objects in complex environments. In object detection, Feature Pyramids Networks (FPN) have been widely used for better representations based on a multi-scale problem. However, the multiple level features cause detectors’ structures to be complex and makes redundant calculations that slow down the detector. This paper uses a single-layer feature to make the detection lightweight and accurate without relying on Feature Pyramid Structures. We proposed a method called the Cross Stage Partial Strengthen Matching Detector (StrMCsDet). The StrMCsDet generates a single-level feature map architecture in the backbone with a cross stage partial network. To provide an alternative way of replacing the traditional feature pyramid, a multi-scale encoder was designed to compensate the receptive field limitation. Additionally, a stronger matching strategy was proposed to make sure that various scale anchors may be equally matched. The StrMCsDet is different from the conventional full pyramid structure and fully exploits the feature map which deals with a multi-scale encoder. Methods achieved both comparable precision and speed for practical applications. Experiments conducted on the DIOR dataset and the NWPU-VHR-10 dataset achieved 65.6 and 73.5 mAP on 1080 Ti, respectively, which can match the performance of state-of-the-art works. Moreover, StrMCsDet requires less computation and achieved 38.5 FPS on the DIOR dataset. Full article

Fabricating complex parts using additive manufacturing is becoming more popular in diverse engineering sectors. Structural Health Monitoring (SHM) methods can be implemented to reduce inspection costs and ensure structural integrity and safety in these parts. In this study, the Surface Response to Excitation (SuRE) method was used to investigate the wave propagation characteristics and load sensing capability in conventionally and additively manufactured ABS parts. For the first set of the test specimens, one conventionally manufactured and three additively manufactured rectangular bar-shaped specimens were prepared. Moreover, four additional parts were also additively manufactured with 30% and 60% infill ratios and 1 mm and 2 mm top surface thicknesses. The external geometry of all parts was the same. Ultrasonic surface waves were generated using three different signals via a piezoelectric actuator bonded to one end of the part. At the other end of each part, a piezoelectric disk was bonded to monitor the response to excitation. It was found that hollow sections inside the 3D printed part slowed down the wave travel. The Continuous Wavelet Transform (CWT) and Short-Time Fourier Transform (STFT) were implemented for converting the recorded sensory data into time–frequency images. These image datasets were fed into a convolutional neural network for the estimation of the compressive loading when the load was applied at the center of specimens at five different levels (0 N, 50 N, 100 N, 150 N, and 200 N). The results showed that the classification accuracy was improved when the CWT scalograms were used. Full article

Atherosclerosis remains the leading cause of mortality and morbidity worldwide characterized by the deposition of lipids and fibrous elements in the form of atheroma plaques in vascular areas which are hemodynamically overloaded. The global burden of atherosclerotic cardiovascular disease is steadily increasing and is considered the largest known non-infectious pandemic. The management of atherosclerotic cardiovascular disease is increasing the cost of health care worldwide, which is a concern for researchers and physicians and has caused them to strive to find effective long-term strategies to improve the efficiency of treatments by managing conventional risk factors. Primary prevention of atherosclerotic cardiovascular disease is the preferred method to reduce cardiovascular risk. Fasting, a Mediterranean diet, and caloric restriction can be considered useful clinical tools. The protective impact of physical exercise over the cardiovascular system has been studied in recent years with the intention of explaining the mechanisms involved; the increase in heat shock proteins, antioxidant enzymes and regulators of cardiac myocyte proliferation concentration seem to be the molecular and biochemical shifts that are involved. Developing new therapeutic strategies such as vagus nerve stimulation, either to prevent or slow the disease’s onset and progression, will surely have a profound effect on the lives of millions of people. Full article

Nutrient management is always a great concern for better crop production. The optimized use of nutrients plays a key role in sustainable crop production, which is a major global challenge as it depends mainly on synthetic fertilizers. A novel fertilizer approach is required that can boost agricultural system production while being more ecologically friendly than synthetic fertilizers. As nanotechnology has left no field untouched, including agriculture, by its scientific innovations. The use of nanofertilizers in agriculture is in the early stage of development, but they appear to have significant potential in different ways, such as increased nutrient-use efficiency, the slow release of nutrients to prevent nutrient loss, targeted delivery, improved abiotic stress tolerance, etc. This review summarizes the current knowledge on various developments in the design and formulation of nanoparticles used as nanofertilizers, their types, their mode of application, and their potential impacts on agricultural crops. The main emphasis is given on the potential benefits of nanofertilizers, and we highlight the current limitations and future challenges related to the wide-scale application before field applications. In particular, the unprecedent release of these nanomaterials into the environment may jeopardize human health and the ecosystem. As the green revolution has occurred, the production of food grains has increased at the cost of the disproportionate use of synthetic fertilizers and pesticides, which have severely damaged our ecosystem. We need to make sure that the use of these nanofertilizers reduces environmental damage, rather than increasing it. Therefore, future studies should also check the environmental risks associated with these nanofertilizers, if there are any; moreover, it should focus on green manufactured and biosynthesized nanofertilizers, as well as their safety, bioavailability, and toxicity issues, to safeguard their application for sustainable agriculture environments. Full article

Ice motion is an essential element for accurately evaluating glacier mass balance. Interferometric synthetic aperture radar (InSAR) has been widely applied for monitoring ice motion with high precision and wide coverage in the Antarctic. However, the ionospheric effects can significantly impact InSAR-based ice-motion measurements. At low radar frequencies in particular, the ionospheric effects have been regarded as a serious source of noise in L-band SAR data. The split-spectrum method (SSM) is commonly used for correcting the ionospheric effects of the InSAR technique. However, it requires spatial filtering with the relatively large factors used to scale the sub-bands’ interferograms, which often results in an unwrapped phase error. In this paper, a reformulation of the split-spectrum method (RSSM) is introduced to correct the ionospheric effects in the Grove Mountains of East Antarctica, which have slow ice flow and frequent ionosphere changes. The results show that RSSM can effectively correct the ionospheric effects of InSAR-based ice-motion measurements. To evaluate the ability of ionospheric correction using RSSM, the result of ionospheric correction derived from SSM is compared with the results of RSSM. In addition, ionosphere-corrected ice motion is also compared with GPS and MEaSUREs. The results show that the ionosphere-corrected ice velocities are in good agreement with GPS observations and MEaSUREs. The average ice velocity from the InSAR time series is compared to that from MEaSUREs, and the average ionosphere-corrected ice velocity error reduces 43.9% in SSM and 51.1% in RSSM, respectively. The ionosphere-corrected ice velocity error is the most significant, reducing 86.9% in SSM and 90.4% in RSSM from 1 November 2007 to 19 December 2007. The results show that the ability of RSSM to correct ionospheric effects is slightly better than that of SSM. Therefore, we deduce that the RSSM offers a feasible way to correct ionospheric effects in InSAR-based ice-motion measurements in Antarctica. Full article

During a time span of just a few years, the CD38 antibody, daratumumab, has been established as one of the most important new drugs for the treatment of multiple myeloma, both in the relapsed/refractory setting and, more recently, as a first-line treatment. Although much is known about the pleiotropic modes of action of daratumumab, we are still not sure how to use it in an optimal manner. Daratumumab targets CD38 on myeloma cells and a high level of CD38 expression facilitates complement-mediated cytotoxicity (CDC), antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP). Since the expression of CD38 by myeloma cells is downregulated during treatment with daratumumab, it may seem reasonable to introduce a wash-out period and retreat with daratumumab at a later time point when CD38 expression has recovered in order to gain the maximum benefit of daratumumab’s capacity to kill myeloma cells by CDC, ADCC and ADCP. In other aspects, CD38 seems to serve as a survival factor for myeloma cells by facilitating protective myeloma cell–stromal-cell interactions, contributing to the formation of nanotubes that transfer mitochondria from the stromal cells to myeloma cells, boosting myeloma cell proliferation and survival and by generation of immunosuppressive adenosine in the bone marrow microenvironment. In addition, continuous exposure to daratumumab may keep immune suppressor cells at a low level, which boosts the anti-tumor activity of T-cells. In fact, one may speculate if in the early phase of treatment of a myeloma patient, the debulking effects of daratumumab achieved by CDC, ADCC and ADCP are more important while at a later stage, reprogramming of the patient’s own immune system and certain metabolic effects may take over and become more essential. This duality may be reflected by what we often observe when we watch the slope of the M-protein from myeloma patients responding to daratumumab: A rapid initial drop followed by a slow decline of the M-protein during several months or even years. Ongoing and future clinical trials will teach us how to use daratumumab in an optimal way. Full article

The field of safety and incident prevention is becoming more and more data based. Data can help support decision making for a more productive and safer work environment, but only if the data can be, is and should be trusted. Especially with the advance of more data collection of varying quality, checking and judging the data is an increasingly complex task. Within such tasks, cognitive biases are likely to occur, causing analysists to overestimate the quality of the data and safety experts to base their decisions on data of insufficient quality. Cognitive biases describe generic error tendencies of persons, that arise because people tend to automatically rely on their fast information processing and decision making, rather than their slow, more effortful system. This article describes five biases that were identified in the verification of a safety indicator related to train driving. Suggestions are also given on how to formalize the verification process. If decision makers want correct conclusions, safety experts need good quality data. To make sure insufficient quality data is not used for decision making, a solid verification process needs to be put in place that matches the strengths and limits of human cognition. Full article

Simulator training for image-guided surgical interventions would benefit from intelligent systems that detect the evolution of task performance, and take control of individual speed–precision strategies by providing effective automatic performance feedback. At the earliest training stages, novices frequently focus on getting faster at the task. This may, as shown here, compromise the evolution of their precision scores, sometimes irreparably, if it is not controlled for as early as possible. Artificial intelligence could help make sure that a trainee reaches her/his optimal individual speed–accuracy trade-off by monitoring individual performance criteria, detecting critical trends at any given moment in time, and alerting the trainee as early as necessary when to slow down and focus on precision, or when to focus on getting faster. It is suggested that, for effective benchmarking, individual training statistics of novices are compared with the statistics of an expert surgeon. The speed–accuracy functions of novices trained in a large number of experimental sessions reveal differences in individual speed–precision strategies, and clarify why such strategies should be automatically detected and controlled for before further training on specific surgical task models, or clinical models, may be envisaged. How expert benchmark statistics may be exploited for automatic performance control is explained. Full article

When we were invited by the editors of Sustainability to put together a special edition on “Environment in Sustainable Development” our first reaction was to question whether this was really needed. After all, the environment has long been regarded as a central plank in sustainability and there are countless articles and books published on an annual basis that explore the impact of our economic and social activities on our environment. Just what is it that a special edition can achieve? What new angles could we hope to provide? Our initial thinking was to link the special edition to a particular, almost unique, location in time rather than space. We are in the process of recovering, albeit stuttering, from the deepest economic crash experienced by the European and North American economies. The crash has brought some national economies to their knees and, if economic commentators are to be believed, almost destroyed the Euro. Recovery from that crash has been slow and it is arguable whether at the time of writing this has developed much momentum. There is still the skewed perception that prosperity equals economic growth and that economic growth can take place without real (sustainable) development or by simply implementing austerity measures and surely without people’s participation. An analogy from National Parks worldwide is when conservation agencies try to enforce protection without local people’s support. All such attempts have either failed or resurrected only once people’s involvement was secured and guaranteed. The unidirectional austerity measures imposed mainly in the countries of southern Europe have destroyed social cohesion leaving deeply wounded societies, while at the same time have also put up for grabs important assets (including natural capital) in each of these countries and therefore in jeopardy even their long term recovery. Full article