Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving the IEC table for transformer failure diagnosis with knowledge extraction from neural networks

The paper describes how mapping a neural network into a rule-based fuzzy inference system leads to knowledge extraction. This mapping makes explicit the knowledge implicitly captured by the neural network during the learning stage, by transforming it into a set of rules. By applying the method to transformer fault diagnosis using dissolved gas-in-oil analysis, one could not only develop intelligent diagnosis systems, providing better results than the application of the IEC 60599 Table, but also generate a new rule table whose application also leads to better diagnosis results.
Clustering-based activity classification with a wrist-worn accelerometer using basic features

Automatic recognition of activities using time series data collected from exercise can facilitate development of applications that motivate people to exercise more frequently and actively. This article presents a method for recognizing nine different everyday sport activities, such as running, walking, aerobics and Nordic walking, using only two-dimensional wrist-worn accelerometer. The suggested method is based on clustering the data by first using an EM -algorithm to form homogeneous groups and then applying C4.5-based decision trees inside these groups. The features extracted for classification process are simple features, such as variance and mean, which are calculated from compressed signals that contain only such points of the original time series where the derivative is equal to zero. The data were collected by ten subjects and they contained nine different sports. Using the presented method, the data were classified with an accuracy of 85%, whereas the accuracy using an automatically generated decision tree was 80%. The purpose of this method is to recognize activities in order to form an activity diary.
Building Knowledge Bases for the Generation of Software Documentation

Automated text generation requires a underlying knowledge base from which to generate, which is often difficult to produce. Software documentation is one domain in which parts of this knowledge base may be derived automatically. In this paper, we describe DRAFTER, an authoring support tool for generating usercentred software documentation, and in particular, we describe how parts of its required knowledge base can be obtained automatically.
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

Our approach to blind image quality assessment (IQA) is based on the hypothesis that natural scenes possess certain statistical properties which are altered in the presence of distortion, rendering them un-natural; and that by characterizing this un-naturalness using scene statistics, one can identify the distortion afflicting the image and perform no-reference (NR) IQA. Based on this theory, we propose an (NR)/blind algorithm-the Distortion Identification-based Image Verity and INtegrity Evaluation (DIIVINE) index-that assesses the quality of a distorted image without need for a reference image. DIIVINE is based on a 2-stage framework involving distortion identification followed by distortion-specific quality assessment. DIIVINE is capable of assessing the quality of a distorted image across multiple distortion categories, as against most NR IQA algorithms that are distortion-specific in nature. DIIVINE is based on natural scene statistics which govern the behavior of natural images. In this paper, we detail the principles underlying DIIVINE, the statistical features extracted and their relevance to perception and thoroughly evaluate the algorithm on the popular LIVE IQA database. Further, we compare the performance of DIIVINE against leading full-reference (FR) IQA algorithms and demonstrate that DIIVINE is statistically superior to the often used measure of peak signal-to-noise ratio (PSNR) and statistically equivalent to the popular structural similarity index (SSIM). A software release of DIIVINE has been made available online: http://live.ece. utexas.edu/research/quality/DIIVINE_release. zip for public use and evaluation.
Performance and optimized design of space-time codes for MIMO wireless systems with imperfect channel estimates

Multiple-antennas constitute an effective mean to achieve spatial diversity in emerging bandwidth-efficient multiple-input multiple-output (MIMO) wireless systems. Until now, most contributions in this area are focused on the two limit cases of fully coherent and fully incoherent decoding, which, in turn, occur when perfect channel estimates and no channel estimates are available at the receiver. However, very accurate channel estimates typically demand long training sequences that reduces spectral efficiency. Therefore, testing capabilities of multiple-antenna systems with partially coherent decoding may be appealing for improving power-versus-bandwidth tradeoff. In this contribution, we focus on the optimized design and performance evaluations of multiple-antenna block-coded systems with partially-coherent maximum-likelihood (ML) decoding. After considering emerging fourth-generation WLANs (4GWLANs) as a possible application scenario, we present new performance bounds and optimized design criteria together with a new family of robust space-time unitary block codes that "self-match" to channel-estimation errors. We name these codes "self matching. ".
Nursing Practice Review Hydration

Hooper L, Bunn D (2015) Hydration 1: Detecting dehydration in older people: useful tests. Dehydration is common in older people, leading to longer hospital stays and increased disability and mortality. Health professionals can diagnose water-loss dehydration by taking a blood sample and measuring serum osmolality, but a less-invasive test would be useful. Evidence that tests, clinical signs or questions tested to date are useful when screening for dehydration in older people is limited. This article looks at known risk factors, signs and tests for dehydration, and outlines evidence on how useful they have proven to be. Part 2 describes how a care home has used a multicomponent strategy to improve hydration. D ehydration is a common problem in older people, and can cause a range of complications that lead to increased morbidity and mortality. These include: » Doubling the four-year risk of disability (Stookey et al, 2004); » Increasing the risk of death over eight years by 40% (Stookey et al, 2004); » Longer hospital stays (El-Sharkawy et al, 2014); » Increased mortality after stroke and in older, hospitalised people (El-Sharkawy et al, 2014; Bhalla et al, 2000). 1 Dehydration is common in older people, leading to longer hospital stays and increased disability and mortality 2 There are no obviously useful simple tests, signs or questions to help nurses to screen for dehydration in older people 3 Some blood tests do not distinguish between renal failure and dehydration 4 Nurses should be aware of the risk factors for, and signs of, dehydration 5 Further research is needed to ascertain which tests, questions and signs will help nurses detect dehydration The most common type of dehydration in older people is water-loss dehydration, (WLD) caused by insufficient fluid intake (Thomas et al, 2008; Weinberg and Minaker, 1995). This article relates to WLD, which is characterised by raised serum osmolality – the concentration of serum, which can be measured directly from a venous blood sample (Cheuvront et al, 2013; Thomas et al, 2008; Institute of Medicine, 2004). Box 1 gives definitions of terms used. Newborn babies comprise 70% water, children 60% and older people 50%; age therefore reduces the buffer against dehydration (Hooper et al, 2014). Water plays a central role in regulating cell volume, nutrient transport, waste removal and thermal regulation, and provides a medium for biological reactions. It means body water volume is tightly controlled; when we do not drink enough …
The family of bacterial ADP-ribosylating exotoxins

Pathogenic bacteria utilize a variety of virulence factors that contribute to the clinical manifestation of their pathogenesis. Bacterial ADP-ribosylating exotoxins (bAREs) represent one family of virulence factors that exert their toxic effects by transferring the ADP-ribose moiety of NAD onto specific eucaryotic target proteins. The observations that some bAREs ADP-ribosylate eucaryotic proteins that regulate signal transduction, like the heterotrimeric GTP-binding proteins and the low-molecular-weight GTP-binding proteins, has extended interest in bAREs beyond the bacteriology laboratory. Molecular studies have shown that bAREs possess little primary amino acid homology and have diverse quaternary structure-function organization. Underlying this apparent diversity, biochemical and crystallographic studies have shown that several bAREs have conserved active-site structures and possess a conserved glutamic acid within their active sites.
The FERET evaluation methodology for face-recognition algorithms

Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1199 individuals are included in the FERET database, which is divided into development and sequestered portions. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to (1) assess the state of the art, (2) identify future areas of research, and (3) measure algorithm performance on large databases.
An Epidemiologic Study of Irritable Bowel Syndrome in Adolescents and Children in China: A School-Based Study

Objectives. To explore the prevalence of irritable bowel syndrome (IBS) and its distribution characteristics of adolescents and children in China and its contributing factors. Methods. This study was a stratified, randomized study by clustering samples, which involved 5403 students whose age range was 6 to 18 years from 9 schools, and was conducted in Heilongjiang Province and Shanghai. All students studied were requested to fill in a questionnaire. IBS was diagnosed according to Rome II criteria. Results. The prevalence of IBS according to Rome II criteria in adolescents and children in China was 13.25%. The ratio of boys to girls was 1:1.8. There was a higher prevalence (14.02%) of IBS in Heilongjiang province than that (11.72%) in Shanghai. The prevalence in children 12 years and younger was not statistically significantly higher than that of adolescents 13 years and older (11.86% and 11.44%, respectively). The prevalence of IBS in minority students (21.15%) was not statistically significantly higher than that in Han race students (16.08%). Our study indicated that psychological factors, food habit, bad exterior environment, personal habits, and family conditions might be important contributing factors, and exposure to coldness (odds ratio: 2.83) is most prominent. Conclusion. IBS was a common disorder in adolescents and children in China. The prevalence of IBS in adolescents and children was different in different geographic areas. Our study indicated that IBS in adolescents and children might have possible relations with psychological factors, food habit, bad exterior environment, and family condition.
Mental Health Promotion in School: Schoolchildren's and Families' Viewpoint

While developing mental health work in schools, it is very important to consider the viewpoint of pupils. Parents can also give remarkable information on their children's viewpoint. The purpose of this study was to produce a description of the concepts used by schoolchildren aged 12–16 years and their families associated with promoting mental health in schools. The research material comprised interviews with schoolchildren and mothers, and verbal answers from the school well-being profile survey (n = 426). The analysis was conducted by applying the grounded theory method as introduced by Strauss. The study was conducted in a Finnish comprehensive school.
Increased Expression of Visfatin in Macrophages of Human Unstable Carotid and Coronary Atherosclerosis: Possible Role in Inflammation and Plaque Destabilization

Background— Although the participation of inflammation in atherogenesis is widely recognized, the identification of the different components has not been clarified. In particular, the role of inflammation in plaque destabilization is not fully understood. Methods and Results— Our main findings were as follows: (1) In a microarray experiment, we identified visfatin, one of the most recently identified adipokines, as a gene that was markedly enhanced in carotid plaques from symptomatic compared with plaques from asymptomatic individuals. This finding was confirmed when carotid plaques from 7 patients with asymptomatic and 14 patients with symptomatic lesions were examined with real-time reverse transcription polymerase chain reaction. (2) Immunohistochemistry showed that visfatin was localized in areas that were rich in lipid-loaded macrophages. (3) The relationship between visfatin and unstable lesions was also found in patients with coronary artery disease, demonstrating a strong visfatin immunostaining in lipid-rich regions within the material obtained at the site of plaque rupture in patients with acute myocardial infarction. (4) Both oxidized low-density lipoprotein and tumor necrosis factor-&agr; increased visfatin expression in THP-1 monocytes, with a particularly enhancing effect when these stimuli were combined. (5) Visfatin increased matrix metalloproteinase-9 activity in THP-1 monocytes and tumor necrosis factor-&agr; and interleukin-8 levels in peripheral blood mononuclear cells. Both of these effects were abolished when insulin receptor signaling was blocked. Conclusions— Our findings suggest that visfatin should be regarded as an inflammatory mediator, localized to foam cell macrophages within unstable atherosclerotic lesions, that potentially plays a role in plaque destabilization.
Coronary heart disease risk factors in women with polycystic ovary syndrome.

The goal of the study was to compare cardiovascular heart disease risk factors in women with polycystic ovary syndrome (PCOS) and matched control subjects. Women with PCOS have risk factors, including anovulation, hyperandrogenism, and insulin resistance, that suggest a male coronary heart disease risk-factor profile. A total of 206 women with PCOS were recruited by using records from a large reproductive endocrinology practice. A clinical diagnosis of PCOS was made if there was a history of chronic anovulation in association with either clinical evidence of androgen excess (hirsutism) or if total testosterone level was > 2 nm/L or the luteinizing hormone/follicle-stimulating hormone ratio was greater than 2. The overall response rate for cases was 76%. A control population was obtained by using a combination of area voters' registration tapes and directories of households. A control subject was matched to each case subject by age +/- 5 years, race, and neighborhood. The response rate for recruitment of the first or second eligible control subject was 83.6%. The average age at initial interview was 35.9 +/- 7.4 years for case and 37.2 +/- 7.8 years for control subjects. Women with PCOS had significantly increased cardiovascular disease risk factors compared with control women. These included increases in body mass index, insulin, and triglyceride levels (P < .001), decreased total HDL and HDL2 levels (P < .01), and increased total cholesterol and fasting LDL levels, waist/hip ratio, and systolic blood pressure (P < .05). (ABSTRACT TRUNCATED AT 250 WORDS)
Neuroimaging a Single Thought: Dorsolateral PFC Activity Associated with Refreshing Just-Activated Information

Neuroimaging studies of human working memory (WM) show conflicting results regarding whether dorsolateral prefrontal cortex (PFC) contributes to maintaining information in consciousness or is recruited primarily when information must be manipulated. Using functional magnetic resonance imaging (fMRI), we looked at a minimal maintenance process--thinking back to a single, just-seen stimulus (refreshing). We found greater activity in left dorsolateral PFC (BA9) when participants refreshed a word compared to reading a word once or a second time. Furthermore, recognition memory was subsequently more accurate and faster for items that had been refreshed, demonstrating that a single thought that maintains activation can have consequences for long-term memory. Our fMRI results call into question any class of models of the functional organization of PFC and WM that associates simple and/or maintenance processes only with ventrolateral PFC or that associates dorsolateral PFC only with more complex processes such as manipulation.
Chemostatic behaviour of major ions and contaminants in a semiarid spring and stream system near Los Alamos, NM, USA

Recent studies have focused on the relationship between solute concentrations and discharge in streams, demonstrating that concentrations can vary little relative to changes in discharge (chemostatic behaviour). Chemostatic behaviour is dependent on catchment characteristics (e.g., lithology, geomorphology, and vegetation) and chemical characteristics of the solute (e.g., availability, reactivity, and mobility). An investigation of 3 springs and a stream near Los Alamos, NM, reveals that springs can behave in a chemostatic fashion as stream systems tend to do. Another unique finding of this study is that the anthropogenic contaminants barium and the high explosive RDX (hexahydro‐1,3,5‐trinitro‐1,3,5‐triazine) can also behave chemostatically. The chemostatic behaviour of a contaminant has important implications for the residence time of contaminants in a system as well as having a major control on contaminant flux and mass transport. Redox (reduction–oxidation) and biogeochemically sensitive analytes (e.g., Fe, SO4, and NO3) display a combination of chemostatic and chemodynamic behaviour, showing the influence of temporally variable conditions on stream and spring chemistries.
Learning Multi-modal Similarity

In many applications involving multi-media data, the definition of similarity between items is integral to several key tasks, including nearest-neighbor retrieval, classification, and recommendation. Data in such regimes typically exhibits multiple modalities, such as acoustic and visual content of video. Integrating such heterogeneous data to form a holistic similarity space is therefore a key challenge to be overcome in many real-world applications. We present a novel multiple kernel learning technique for integrating heterogeneous data into a single, unified similarity space. Our algorithm learns an optimal ensemble of kernel transformations which conform to measurements of human perceptual similarity, as expressed by relative comparisons. To cope with the ubiquitous problems of subjectivity and inconsistency in multi-media similarity, we develop graph-based techniques to filter similarity measurements, resulting in a simplified and robust training procedure.
Sleep-Related Hippocampo-Cortical Interplay during Emotional Memory Recollection

Emotional events are usually better remembered than neutral ones. This effect is mediated in part by a modulation of the hippocampus by the amygdala. Sleep plays a role in the consolidation of declarative memory. We examined the impact of sleep and lack of sleep on the consolidation of emotional (negative and positive) memories at the macroscopic systems level. Using functional MRI (fMRI), we compared the neural correlates of successful recollection by humans of emotional and neutral stimuli, 72 h after encoding, with or without total sleep deprivation during the first post-encoding night. In contrast to recollection of neutral and positive stimuli, which was deteriorated by sleep deprivation, similar recollection levels were achieved for negative stimuli in both groups. Successful recollection of emotional stimuli elicited larger responses in the hippocampus and various cortical areas, including the medial prefrontal cortex, in the sleep group than in the sleep deprived group. This effect was consistent across subjects for negative items but depended linearly on individual memory performance for positive items. In addition, the hippocampus and medial prefrontal cortex were functionally more connected during recollection of either negative or positive than neutral items, and more so in sleeping than in sleep-deprived subjects. In the sleep-deprived group, recollection of negative items elicited larger responses in the amygdala and an occipital area than in the sleep group. In contrast, no such difference in brain responses between groups was associated with recollection of positive stimuli. The results suggest that the emotional significance of memories influences their sleep-dependent systems-level consolidation. The recruitment of hippocampo-neocortical networks during recollection is enhanced after sleep and is hindered by sleep deprivation. After sleep deprivation, recollection of negative, potentially dangerous, memories recruits an alternate amygdalo-cortical network, which would keep track of emotional information despite sleep deprivation.
Psychological contract breach among allied health professionals.

PURPOSE Allied health professionals are vital for effective healthcare yet there are continuing shortages of these employees. Building on work with other healthcare professionals, the purpose of this paper is to investigate the influence of psychological contract (PC) breach and types of organisational justice on variables important to retention among allied health professionals: mental health and organisational commitment. The potential effects of justice on the negative outcomes of breach were examined. DESIGN/METHODOLOGY/APPROACH Multiple regressions analysed data from 113 allied health professionals working in a medium-large Australian healthcare organisation. FINDINGS The main negative impacts on respondents' mental health and commitment were from high PC breach, low procedural and distributive justice and less respectful treatment from organisational representatives. The interaction between procedural justice and breach illustrates that breach may be forgivable if processes are fair. Surprisingly, a betrayal or "aggravated breach effect" may occur after a breach when interpersonal justice is high. Further, negative affectivity was negatively related to respondents' mental health (affective outcomes) but not commitment (work-related attitude). PRACTICAL IMPLICATIONS Healthcare organisations should ensure the fairness of decisions and avoid breaking promises within their control. If promises cannot reasonably be kept, transparency of processes behind the breach may allow allied health professionals to understand that the organisation did not purposefully fail to fulfil expectations. ORIGINALITY/VALUE This study offers insights into how breach and four types of justice interact to influence employee mental health and work attitudes among allied health professionals.