174 research outputs found
Sustainable Value Co-Creation in Welfare Service Ecosystems : Transforming temporary collaboration projects into permanent resource integration
The aim of this paper is to discuss the unexploited forces of user-orientation and shared responsibility to promote sustainable value co-creation during service innovation projects in welfare service ecosystems. The framework is based on the theoretical field of public service logic (PSL) and our thesis is that service innovation seriously requires a user-oriented approach, and that such an approach enables resource integration based on the service-user’s needs and lifeworld. In our findings, we identify prerequisites and opportunities of collaborative service innovation projects in order to transform these projects into sustainable resource integration once they have ended
2018 GREAT Day Program
SUNY Geneseo’s Twelfth Annual GREAT Day.https://knightscholar.geneseo.edu/program-2007/1012/thumbnail.jp
Wheat Improvement
This open-access textbook provides a comprehensive, up-to-date guide for students and practitioners wishing to access in a single volume the key disciplines and principles of wheat breeding. Wheat is a cornerstone of food security: it is the most widely grown of any crop and provides 20% of all human calories and protein. The authorship of this book includes world class researchers and breeders whose expertise spans cutting-edge academic science all the way to impacts in farmers’ fields. The book’s themes and authors were selected to provide a didactic work that considers the background to wheat improvement, current mainstream breeding approaches, and translational research and avant garde technologies that enable new breakthroughs in science to impact productivity. While the volume provides an overview for professionals interested in wheat, many of the ideas and methods presented are equally relevant to small grain cereals and crop improvement in general. The book is affordable, and because it is open access, can be readily shared and translated -- in whole or in part -- to university classes, members of breeding teams (from directors to technicians), conference participants, extension agents and farmers. Given the challenges currently faced by academia, industry and national wheat programs to produce higher crop yields --- often with less inputs and under increasingly harsher climates -- this volume is a timely addition to their toolkit
RustOnt: An Ontology to Explain Weather Favorable Conditions of the Coffee Rust
Crop disease management in smart agriculture involves applying and using new technologies
to reduce the impact of diseases on the quality of products. Coffee rust is a disease that factors
such as poor agronomic management activities and climate conditions may favor. Therefore, it is
crucial to identify the relationships between these factors and this disease to learn how to face its
consequences and build intelligent systems to provide appropriate management or help farmers and
experts make decisions accordingly. Nevertheless, there are no studies in the literature that propose
ontologies to model these factors and coffee rust. This paper presents a new ontology called RustOnt
to help experts more accurately model data, expressions, and samples related to coffee rust and apply
it whilst taking into account the geographical location where the ontology is adopted. Consequently,
this ontology is crucial for coffee rust monitoring and management by means of smart agriculture
systems. RustOnt was successfully evaluated considering quality criteria such as clarity, consistency,
modularity, and competence against a set of initial requirements for which it was built.project "System based on knowledge engineering for the agroecological management of coffee rust", grant 823-Formation of high-level human capital for the regions-Cauc
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective
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Songbird-mediated Insect Pest Control in Low Intensity New England Agriculture
Global agricultural intensification has caused large-scale wildlife declines, but agricultural lands that maintain natural habitats can support healthy wildlife populations and receive significant ecosystem services from these natural communities. However, how on-farm biodiversity results in beneficial ecosystem services is highly variable and is reported to differ among taxa and guilds. One group that has attracted attention for their potential beneficial role in reducing pest abundance are birds. Understanding the role of bird communities and individual species in pest control could be important for managing farms under a low intensity agroecological framework. In New England, farmers are increasingly applying low intensity agricultural practices, and these low intensity farms have high conservation value for bird communities. The value of bird communities to on-farm productivity, however, remains poorly understood. Therefore, we quantified the amount of insect pest control provided by birds to three important crops to New England farmers: brassicas (e.g., kale, broccoli), cucurbits (e.g., squash, cucumber), and Solanaceae (e.g., eggplant, potato). We also examined the role of different songbird species in the provision of pest control in this system.
To determine the amount of pest control services provided by birds in this system, we conducted an exclusion experiment at nine low intensity farms in Franklin and Hampshire counties of Massachusetts. Birds were excluded from crops, and pest abundance and leaf damage were compared between exclusion plots and immediately adjacent control plots. In brassica crops, the abundance of imported cabbageworm (Pieris rapae) and diamondback moth (Plutella xylostella) were significantly reduced, while cabbage looper (Trichoplusia ni) was not significantly affected. In cucurbit crops, all life stages of squash bugs (Anasa tristis) were significantly reduced, though striped cucumber beetle (Acalymma vittatum) populations were not significantly changed. In Solanaceous crops, bird presence caused significantly larger populations of Colorado potato beetle (Leptinotarsa decemlineata) larvae, while the other life stages of Colorado potato beetle and aphids (superfamily Aphidoidea) were not significantly affected. Leaf damage was reduced by bird presence in all three crop types, though this effect was only significant for cucurbits. The varied effects of bird predation in different crop types highlights the need for crop-specific knowledge in applying agroecological pest management in New England.
To determine the roles of different bird species in insect pest control, bird diets were studied at 11 low intensity farms in western Massachusetts. DNA metabarcoding was used to determine the frequency of crop pests and pest natural enemies in fecal samples collected from birds on each farm. We found evidence of pest species being consumed in 12.6% of the 737 total fecal samples collected, while pest natural enemies were present in 2.0% of samples. Among bird species, Gray Catbirds and Common Yellowthroats were determined to feed on crop pests significantly more frequently than Song Sparrows, while no bird species effect was found for natural enemy frequency. The only crop pest surveyed in our exclosure experiment which was present in fecal samples was Colorado potato beetle. Though birds preyed on Colorado potato beetle, they also preyed on two known predators of Colorado potato beetle eggs and larvae: Chrysopa oculata and Chrysoperla rufilabris. This provides evidence that the increase in Colorado potato beetle larvae we observed when birds were present was due to ecological release.
Combined, our results show that birds provide important, though variable, insect pest control services on low intensity New England farms. Bird predation had primarily beneficial impacts on crops, suppressing abundance of several pest species and decreasing or minimally affecting leaf damage. The effects of bird predation on pest abundance and damage can be integrated into farm management to control insect pests without reliance on expensive, and sometimes damaging, outside inputs like pesticides. Promotion of woody, non-crop habitats on farms can promote species like Gray Catbirds and Common Yellowthroats that feed more frequently on insect pests. Management of New England farmlands for bird pest control may support healthy bird communities and improve agricultural output
Faktor Pengaruh Bahasa Inggeris dalam Pembelajaran Bahasa Mandarin Sebagai Bahasa Asing Nur Farrah Atiqah Amran & Muhammad Nazirul Mohd Noor
Salah satu nilai tambah yang amat diperlukan pada masa kini ialah penguasaan bahasa asing.
Pelan Pembangunan Pendidikan Malaysia 2013-2015 telah mengetengahkan pembelajaran
bahasa ketiga. Menurut Teori Bahasa Halliday, kanak-kanak menjadi mahir dalam bahasa
kerana mereka perlu berinteraksi dengan orang di persekitaran mereka. Ini bermakna untuk
memenuhi keperluan asas mereka, kanak-kanak itu perlu berinteraksi dengan orang ramai
pada peringkat awal. Fenomena ini tidak berlaku dalam sampel. Oleh itu, pelajar Melayu yang
hanya berbahasa Melayu dan Inggeris tidak akan mempelajari bahasa Mandarin dengan baik.
Kajian awal ini bertujuan untuk menganalisis faktor-faktor yang menyumbang kepada
pengaruh bahasa Inggeris dalam kalangan pelajar Melayu semasa mempelajari bahasa
Mandarin. Sampel kajian melibatkan 10 orang pelajar Melayu di sebuah universiti awam.
Instrumen yang digunakan dalam kajian ini ialah soal selidik. Dapatan kajian ini diharapkan
dapat membantu ahli akademik dalam melahirkan graduan yang berkualiti tinggi dengan
kebolehan bertutur dalam bahasa ketiga dengan fasih. Selain itu, ia juga akan meningkatkan
reputasi universiti dengan pencapaian pelajar yang cemerlang, sekali gus memberi manfaat
kepada pembangunan negara khususnya dalam hubungan antarabangsa
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
The main aim of this book is to present various implementations of ML methods and metaheuristic algorithms to improve modelling and prediction hydrological and water resources phenomena having vital importance in water resource management
Faktor Pengaruh Bahasa Inggeris dalam Pembelajaran Bahasa Mandarin Sebagai Bahasa Asing
Salah satu nilai tambah yang amat diperlukan pada masa kini ialah penguasaan bahasa asing. Pelan Pembangunan Pendidikan Malaysia 2013-2015 telah mengetengahkan pembelajaran bahasa ketiga. Menurut Teori Bahasa Halliday, kanak-kanak menjadi mahir dalam bahasa kerana mereka perlu berinteraksi dengan orang di persekitaran mereka. Ini bermakna untuk memenuhi keperluan asas mereka, kanak-kanak itu perlu berinteraksi dengan orang ramai pada peringkat awal. Fenomena ini tidak berlaku dalam sampel. Oleh itu, pelajar Melayu yang hanya berbahasa Melayu dan Inggeris tidak akan mempelajari bahasa Mandarin dengan baik. Kajian awal ini bertujuan untuk menganalisis faktor-faktor yang menyumbang kepada pengaruh bahasa Inggeris dalam kalangan pelajar Melayu semasa mempelajari bahasa Mandarin. Sampel kajian melibatkan 10 orang pelajar Melayu di sebuah universiti awam. Instrumen yang digunakan dalam kajian ini ialah soal selidik. Dapatan kajian ini diharapkan dapat membantu ahli akademik dalam melahirkan graduan yang berkualiti tinggi dengan kebolehan bertutur dalam bahasa ketiga dengan fasih. Selain itu, ia juga akan meningkatkan reputasi universiti dengan pencapaian pelajar yang cemerlang, sekali gus memberi manfaat kepada pembangunan negara khususnya dalam hubungan antarabangsa
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