For asthma, monitoring of symptoms and progression of the disease while avoiding triggers and minimizing the frequency of attacks are the main objectives of care. Tracking and analyzing lung ...healthiness, symptoms, medications, level of interference with daily life activities provides a hint of the level of severity of asthma, and that is indeed a strong predictor of subsequent and future exacerbations. In a prior effort, we employed Text Classification method to classify asthma severity. However, asthma attack prediction depends on many other risk factors such as physiological measurements, patient behaviors and characteristics, environmental triggers, and personal risk scores. In this paper, we propose a method to forecast future asthma attacks using historical data linking the asthma severity level and the personalized risk scores of triggers. Specifically, we used the Additive Interaction Analysis of Exposures technique combined with the Long Short-Term Memory method to predict risk scores of respiratory and oxygen saturation. These risk scores are then used to forecast the probability of an asthma attack.
Abstract This study focused on providing practical information to assess the current status of soil quality and land degradation in Quang Ninh province, Vietnam to provide more evidence on land ...degradation status and factors affecting land degradation in this area. The soil samples were collected and analyzed in 2020 and compared to the available data of soil analysis data collected at the Department of Natural Resources and Environment of Quang Ninh Province in 2010. The percentage of degraded land ranges from 51.70 to 90.36%. Forest land is the type with the highest percentage of degraded land with 90.36% of total forestry land area; Unused hilly land ranks second with degraded land at 87.15%; the percentage of degraded land in agriculture production land stays at 80.59%. The types of land degradation such as Condensation, Acidification, and Salinization only take place on a small area of land in the province. The cause of land degradation in Quang Ninh comes from both natural and anthropogenic causes. The main reasons can be mentioned as the terrain has a steep slope; the climate is hot and rainy; the climate change situation is complicated; and inappropriate agricultural practices. To solve the above situation, it is necessary to have solutions and integrated strategies for the rational exploitation and use of land resources. Especially environmentally friendly agricultural farming methods that are highly adaptive to climate change such as organic agriculture, circular agriculture, and sustainable agriculture.
This paper proposes a generic approach to planning in the presence of incomplete information. The approach builds on an abstract notion of a belief state representation, along with an associated set ...of basic operations. These operations facilitate the development of a sound and complete transition function, for reasoning about effects of actions in the presence of incomplete information, and a set of abstract algorithms for planning. The paper demonstrates how the abstract definitions and algorithms can be instantiated in three concrete representations—minimal-DNF, minimal-CNF, and prime implicates—resulting in three highly competitive conformant planners: Dnf, Cnf, and PIP. The paper relates the notion of a representation to that of ordered binary decision diagrams, a well-known belief state representation employed by many conformant planners, and several target compilation languages that have been presented in the literature. The paper also includes an experimental evaluation of the planners Dnf, Cnf, and PIP and proposes a new set of conformant planning benchmarks that are challenging for state-of-the-art conformant planners.
Evolutionary Biologists have long struggled with the challenge of developing analysis workflows in a flexible manner, thus facilitating the reuse of phylogenetic knowledge. An evolutionary biology ...workflow can be viewed as a plan which composes web services that can retrieve, manipulate, and produce phylogenetic trees. The Phylotastic project was launched two years ago as a collaboration between evolutionary biologists and computer scientists, with the goal of developing an open architecture to facilitate the creation of such analysis workflows. While composition of web services is a problem that has been extensively explored in the literature, including within the logic programming domain, the incarnation of the problem in Phylotastic provides a number of additional challenges. Along with the need to integrate preferences and formal ontologies in the description of the desired workflow, evolutionary biologists tend to construct workflows in an incremental manner, by successively refining the workflow, by indicating desired changes (e.g., exclusion of certain services, modifications of the desired output). This leads to the need of successive iterations of incremental replanning, to develop a new workflow that integrates the requested changes while minimizing the changes to the original workflow. This paper illustrates how Phylotastic has addressed the challenges of creating and refining phylogenetic analysis workflows using logic programming technology and how such solutions have been used within the general framework of the Phylotastic project.
We introduce the asprilo1 framework to facilitate experimental studies of approaches addressing complex dynamic applications. For this purpose, we have chosen the domain of robotic intra-logistics. ...This domain is not only highly relevant in the context of today's fourth industrial revolution but it moreover combines a multitude of challenging issues within a single uniform framework. This includes multi-agent planning, reasoning about action, change, resources, strategies, etc. In return, asprilo allows users to study alternative solutions as regards effectiveness and scalability. Although asprilo relies on Answer Set Programming and Python, it is readily usable by any system complying with its fact-oriented interface format. This makes it attractive for benchmarking and teaching well beyond logic programming. More precisely, asprilo consists of a versatile benchmark generator, solution checker and visualizer as well as a bunch of reference encodings featuring various ASP techniques. Importantly, the visualizer's animation capabilities are indispensable for complex scenarios like intra-logistics in order to inspect valid as well as invalid solution candidates. Also, it allows for graphically editing benchmark layouts that can be used as a basis for generating benchmark suites.
The fact that neutrinos are massive has been the most crucial evidence of physics beyond the Standard Model of elementary particles. To date, we still do not know how neutrinos get mass and why their ...mass is much smaller than that of their charged fermion cousins. The precise determination of the neutrino mass spectrum has become one of the central tasks of neutrino physics, providing critical input for understanding the nature of neutrino mass and extending our model. The present landscape of the neutrino mass spectrum is reviewed and explored in this article using data from the neutrino oscillation, cosmology, and beta decay. In addition, we discuss the possibility of relevant programs elucidating the neutrino mass spectrum in the coming decades.
Fumonisins are among the most prevalent mycotoxins in maize, causing substantial economic losses and potential health risks in humans and animals. In the present study, in-house polyclonal IgY ...antibody against fumonisin B1 (FB
1) and B2 (FB
2) was applied for the development of a competitive lateral flow immunoassay detecting these mycotoxins in maize grains with the limit of detection of 4000 µg/kg, which corresponds to the maximum residue limit adopted by the European Commission. To this end, factors affecting the test performance including nitrocellulose membrane type, dilution factor of maize homogenates in running buffer, amount of detection conjugate, and incubation time between detection conjugate and samples were optimized. Under the optimal condition (UniSart
®
CN140 nitrocellulose membrane, FB
1-BSA immobilized at 1 µg/cm, 1:10 dilution factor, 436 ng of gold nanoparticle conjugate, 30 minutes of incubation), the developed test could detect both FB
1 and FB
2 in maize with limit of detection of 4000 µg/kg, and showed no cross-reactivity to deoxynivalenol, ochratoxin A, aflatoxin B1 and zearalenone. When applied to detect FB
1 and FB
2 in naturally contaminated maize samples, results obtained from the developed assay were in good agreement with those from the high-performance liquid chromatography method. This lateral flow immunoassay is particularly suitable for screening of fumonisins in maize because of its simplicity and cost-effectiveness.
We provide a new perspective on the semantics of logic programs with
arbitrary abstract constraints. To this end, we introduce several notions of
computation. We use the
results of computations to ...specify answer sets of programs with constraints. We present the rationale behind the classes of computations we consider, and discuss the relationships among them. We also discuss the relationships among the corresponding concepts of answer sets. One of those concepts has several compelling characterizations and properties, and we propose it as the
correct generalization of the answer-set semantics to the case of programs with arbitrary constraints. We show that several other notions of an answer set proposed in the literature for programs with constraints can be obtained within our framework as the results of appropriately selected classes of computations.
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