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Processes ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 122
Author(s):  
Yang Li ◽  
Fangyuan Ma ◽  
Cheng Ji ◽  
Jingde Wang ◽  
Wei Sun

Feature extraction plays a key role in fault detection methods. Most existing methods focus on comprehensive and accurate feature extraction of normal operation data to achieve better detection performance. However, discriminative features based on historical fault data are usually ignored. Aiming at this point, a global-local marginal discriminant preserving projection (GLMDPP) method is proposed for feature extraction. Considering its comprehensive consideration of global and local features, global-local preserving projection (GLPP) is used to extract the inherent feature of the data. Then, multiple marginal fisher analysis (MMFA) is introduced to extract the discriminative feature, which can better separate normal data from fault data. On the basis of fisher framework, GLPP and MMFA are integrated to extract inherent and discriminative features of the data simultaneously. Furthermore, fault detection methods based on GLMDPP are constructed and applied to the Tennessee Eastman (TE) process. Compared with the PCA and GLPP method, the effectiveness of the proposed method in fault detection is validated with the result of TE process.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Konrad H Stopsack ◽  
Svitlana Tyekucheva ◽  
Molin Wang ◽  
Travis A Gerke ◽  
J Bailey Vaselkiv ◽  
...  

Tissue microarrays (TMAs) have been used in thousands of cancer biomarker studies. To what extent batch effects, measurement error in biomarker levels between slides, affects TMA-based studies has not been assessed systematically. We evaluated 20 protein biomarkers on 14 TMAs with prospectively collected tumor tissue from 1,448 primary prostate cancers. In half of the biomarkers, more than 10% of biomarker variance was attributable to between-TMA differences (range, 1-48%). We implemented different methods to mitigate batch effects (R package batchtma), tested in plasmode simulation. Biomarker levels were more similar between mitigation approaches compared to uncorrected values. For some biomarkers, associations with clinical features changed substantially after addressing batch effects. Batch effects and resulting bias are not an error of an individual study but an inherent feature of TMA-based protein biomarker studies. They always need to be considered during study design and addressed analytically in studies using more than one TMA.


2021 ◽  
pp. 1-17
Author(s):  
Stavroula Constantinou ◽  
Andria Andreou

This article is a first attempt to approach the figure of the storyteller in three types of early Byzantine tale collections (fourth–seventh centuries): collective biography, miracle collection, and collection of edifying tales. Our approach draws significantly on Walter Benjamin's discussion of the storyteller and Monica Fludernik's work on conversational storytelling. Our analysis has a twofold purpose: first, to revise the impression that the storyteller is a canonical force that possesses the same characteristics in every single tale; second, to suggest that the storyteller is an inherent feature of short hagiographical narratives.


Author(s):  
Irene Pradas ◽  
Mariona Jové ◽  
Kevin Huynh ◽  
Marta Ingles ◽  
Consuelo Borras ◽  
...  

Abstract A species-specific lipidome profile is an inherent feature linked to longevity in the animal kingdom. However, there is a lack of lipidomic studies on human longevity. Here we use mass spectrometry based lipidomics to detect and quantify 151 sphingolipid molecular species and use these to define a phenotype of healthy humans with exceptional lifespan. Our results demonstrate that this profile specifically comprises a higher content of complex glycosphingolipids (hexosylceramides and gangliosides), and lower levels of ceramide species from the de novo pathway, sphingomyelin and sulfatide; while for ceramide-derived signaling compounds, their content remains unchanged. Our findings suggest that structural glycosphingolipids may be more relevant to achieve the centenarian condition than signaling sphingolipids.


2021 ◽  
Author(s):  
Sofie Nilsson ◽  
David Meder ◽  
Kristoffer H Madsen ◽  
Ivan Toni ◽  
Hartwig Siebner

People are better at approaching appetitive cues signalling reward and avoiding aversive cues signalling punishment than vice versa. This action bias has previously been shown in approach-avoidance tasks involving arm movements in response to appetitive or aversive cues. It is not known whether appetitive or aversive stimuli also bias more distal dexterous actions, such as gripping and slipping, in a similar manner. To test this hypothesis, we designed a novel task involving grip force control (gripping and slipping) to probe gripping-related approach and avoidance behaviour. 32 male volunteers, aged 18-40 years, were instructed to either grip (“approach”) or slip (”avoid”) a grip-force device with their right thumb and index finger at the sight of positive or negative images. In one version of this pincer grip task, participants were responding to graspable objects and in another version of the task they were responding to happy or angry faces. Bayesian repeated measures Analysis of variance revealed extreme evidence for an interaction between response type and cue valence (Bayes factor = 296). Participants were faster to respond in affect-congruent conditions (“approach appetitive”, “avoid aversive”) than in affect-incongruent conditions (“approach aversive”, “avoid appetitive”). This bias towards faster response times for affect-congruent conditions was present regardless of whether it was a graspable object or a face signalling valence. Since our results mirror the approach and avoidance effects previously observed for arm movements, we conclude that a tendency favouring affectively congruent cue-response mappings is an inherent feature of motor control and thus also includes precision grip.


2021 ◽  
Vol 1 ◽  
Author(s):  
Julian Helfenstein ◽  
Emmanuel Frossard ◽  
Chiara Pistocchi ◽  
Oliver Chadwick ◽  
Peter Vitousek ◽  
...  

Current understanding of phosphorus (P) dynamics is mostly based on experiments carried out under steady-state conditions. However, drying-rewetting is an inherent feature of soil behavior, and as such also impacts P cycling. While several studies have looked at net changes in P pool sizes with drying-rewetting, few studies have dynamically tracked P exchange using isotopes, which would give insights on P mean residence times in a given pool, and thus P availability. Here, we subjected three soils from a climatic gradient on the Kohala peninsula from Hawaii to 5-month drying-rewetting treatments. The hypotheses were that physico-chemical and biotic processes would be differently affected by repeated drying-rewetting cycles, and that response would depend on climatic history of the soils. Soils were labeled with 33P and 18O enriched water. At select time intervals, we carried out a sequential extraction and measured P concentration, 33P recovery (only first 3 months), and incorporation of 18O from water into phosphate. This allowed tracing P dynamics in sequentially extracted pools as well as O dynamics in phosphate, which are driven by biological processes. Results showed that P concentration and 33P recovery were predominantly driven by soil type. However, across all soils we observed faster dilution of 33P from resin-P into less mobile inorganic pools under drying-rewetting. On the other hand, O dynamics in phosphate were mostly governed by drying-rewetting treatment. Under drying-rewetting, considerably less O was incorporated from water into phosphate of resin-P, microbial-P and HCl-P, suggesting that drying-rewetting reduced biological P cycling. Hence, our results suggest that repeated drying-rewetting increases inorganic P exchange while reducing biological P cycling due to reduced microbial activity, independent of climatic history of the soils. This needs to be considered in P management in ecosystems as well as model representations of the terrestrial P cycle.


Author(s):  
John Hassler ◽  
Per Krusell ◽  
Conny Olovsson

Abstract There is a scientific consensus that human activities, in the form of emissions of carbon dioxide into the atmosphere, cause global warming. These emissions mostly occur in the marketplace, i.e., they are undertaken by private individuals and firms. Governments seeking to curb emissions thus need to design policies that influence market behavior in the direction of their goals. Economists refer to Pigou taxation as “the” solution here, since the case of global warming can be seen as a pure (negative) externality. We agree. However, given the reluctance of policymakers to agree with us, there is an urgent need to consider, and compare, suboptimal policies. In this paper we look at one such instance: setting a global tax on carbon at the wrong level. How costly are different errors? Since there is much uncertainty about how much climate change there will be, and how damaging it is when it occurs, ex-post errors will most likely be made. We compare different kinds of errors qualitatively and quantitatively and find that policy errors based on over-pessimistic views on climate change are much less costly than those made based on over-optimism. This finding is an inherent feature of standard integrated assessment models, even though these models do not feature tipping points or strong linearities.


2021 ◽  
Author(s):  
Elise Deluche ◽  
Henri Salle ◽  
Sophie Leobon ◽  
Teeva Facchini-Joguet ◽  
Alexandre Troussel ◽  
...  

Abstract Background: Delivering bad news is difficult and requires specific training, but this training can be accomplished through high-fidelity simulation (HFS). This prospective study was conducted to objectively evaluate the emotional impact of HFS as an effective tool to develop clinical proficiency.Methods: This prospective feasibility study was conducted from January 2021 to May 2021. Students received a 1- or 2-day training course. The emotional impact of the intervention was evaluated by self-questionnaire and by an Affect-tag wristband that analysed Emotional power (EP), Emotional density (ED), and Cognitive load (CL).Results: The study population included 46 students with a median age of 25 years (range 21–34 years). Participants were emotionally and effectively involved in the HFS training without being completely overpowered by emotions, which may be an inherent feature of the training format. Students who participated twice improved their EP (p < 0.001) and decreased their ED (p = 0.005). CL remained stable (p = 0.751). The mean time of the first and second training increased (1:41 vs. 2:16, p = 0.02). Skills improved as assessed by self-questionnaires and by outsiders (actor/nurse).Conclusion: HFS is a good method for this type of training, considering the emotional impact. Training in delivering bad news was improved through objective practice and self-assessment by participants.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tehseen Khan ◽  
Huma Javed ◽  
Mohammad Amin ◽  
Omar Usman ◽  
Syed Ishtiaq Hussain ◽  
...  

Stress is a complex multifaceted concept that is the result of adverse or demanding circumstances. Workers, especially health care workers, suffer significantly from distress, burnout, and other physical illnesses such as hypertension and diabetes caused by stress. Numerous stress detection systems are realized but they only help in detecting the stress in early stages, and, for regularizing it, these systems employ other means. These systems lack any inherent feature for regularization of stress. In contributing toward this aim, a novel system “EEG-Based Aptitude Detection System” is proposed. This system will help in considering working aptitude of employees working in work places with an intention to help them in assigning proper job roles based on their working aptitude. Selection of right job role for workers not only helps in uplifting productivity but also helps in regulating stress level of employees caused by improper job role assignments and reduces fatigue. Being able to select right job role for workers will help them in providing productive working environment. This paper presents detail layered architecture, implementation details, and outcomes of the proposed novel system. Integration of this system in work places will help supervisors in utilizing the human resource more suitably and will help in regulating stress related issues with improvement in overall performance of entire office. In this work, different implementation architectures based on KNN, SVM, DT, NB, CNN, and LSTM are tested, where LSTM has provided better results and achieved accuracy up to 94% in correctly classifying an EEG signal. The rest of the details can be seen in Sections 3 and 5.


Author(s):  
Dong Qiu ◽  
Bing Yang

AbstractExisting text summarization methods mainly rely on the mapping between manually labeled standard summaries and the original text for feature extraction, often ignoring the internal structure and semantic feature information of the original document. Therefore, the text summary extracted by the existing model has the problems of grammatical structure errors and semantic deviation from the original text. This paper attempts to enhance the model’s attention to the inherent feature information of the source text so that the model can more accurately identify the grammatical structure and semantic information of the document. Therefore, this paper proposes a model based on the multi-head self-attention mechanism and the soft attention mechanism. By introducing an improved multi-head self-attention mechanism in the model coding stage, the training model enables the correct summary syntax and semantic information to obtain higher weight, thereby making the generated summary more coherent and accurate. At the same time, the pointer network model is adopted, and the coverage mechanism is improved to solve out-of-vocabulary and repetitive problems when generating abstracts. This article uses CNN/DailyMail dataset to verify the model proposed in this article and uses the ROUGE indicator to evaluate the model. The experimental results show that the model in this article improves the quality of the generated summary compared with other models.


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