Miracle-dz/UniFAR-FTUs huggingface dataset:
Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning

To accurately diagnose fine-grained fault of rolling bearing, this paper proposed a new fault diagnosis method combining multisynchrosqueezing transform (MSST) and sparse feature coding based on dictionary learning (SFC-DL). Firstly, the high-resolution time-frequency images of raw vibration signals, including different kinds of fine-grained faults of rolling bearing, were constructed by MSST. Then, the basis dictionary was trained through nonnegative matrix factorization with sparseness constraints (NMFSC), and the trained basis dictionary was employed to extract features from time-frequency matrixes by using nonnegative linear equations. Finally, a linear support vector machine (LSVM) was trained with features of training samples, and the trained LSVM was employed to diagnosis the fault classification of test samples. Compared with state-of-the-art fault diagnosis methods, the proposed method, which was tested on the bearing dataset from Case Western Reserve University (CWRU), achieved the fine-grained classification of 10 mixed fault states. Meanwhile, the proposed method was applied on the dataset from the Machinery Failure Prevention Technology (MFPT) Society and realized the classification of 3 fault states under different working conditions. These results indicate that the proposed method has great robustness and could better meet the needs of practical engineering.
Title : Pathomorphological and CT-angiographical characteristics of coronary atherosclerotic plaques in cases of sudden cardiac death

The goal of this study was to assess the localization and types of thrombosed plaques in cases of sudden cardiac death attributed to coronary artery disease, and to evaluate possible correlations with Body Mass Index (BMI) and increased heart weight. This retrospective study was performed on forensic cases for which the cause of death was attributed to coronary artery disease. A complete autopsy and a multi-phase postmortem CT angiography (MPMCTA) were performed in all cases. 85 cases were selected (mean age 55.18±11.04 years; 72 men and 13 women). MPMCTA performed prior to autopsy enabled an evaluation of coronary artery perfusion before dissection of the body and helped therefore to guide sampling for histology. An acute coronary thrombosis was found in 57 cases, which included plaque erosion in 26 cases (mean age 46.73±8.33 years) and rupture or intraplaque hemorrhage in 31 cases (mean age 58.23±10.62 years). Erosions were most frequently found in the left anterior descending artery (61.5 %), while only 36.4% of ruptures were observed in this artery. Chronic coronary pathology was considered as the main cause of death in 28 cases (mean age 59.64±9.47 years). 62 of the cases (72.94%) had a BMI in the overweight category (BMI≥25), with the highest mean BMI in patients with chronic coronary Manuscript
system identification for predictive control using continuous time recurrent neural networks and automatic differentiation. Nonlinear system identification for predictive control using continuous time recurrent neural networks and automatic

In this paper, a continuous time recurrent neural network (CTRNN) is developed to be used in nonlinear model predictive control (NMPC) context. The neural network represented in a general nonlinear state-space form is used to predict the future dynamic behavior of the nonlinear process in real time. An efficient training algorithm for the proposed network is developed using automatic differentiation (AD) techniques. By automatically generating Taylor coefficients, the algorithm not only solves the differentiation equations of the network but also produces the sensitivity for the training problem. The same approach is also used to solve the online optimization problem in the predictive controller. The proposed neural network and the nonlinear predictive controller were tested on an evaporation case study. A good model fitting for the nonlinear plant is obtained using the new method. A comparison with other approaches shows that the new algorithm can considerably reduce network training time and improve solution accuracy. The CTRNN trained is used as an internal model in a predictive controller and results in good performance under different operating conditions. 2007 Elsevier Ltd. All rights reserved.
The Effect of Computed Tomography Perfusion (CTP) Scans on Acute Ischemic Stroke Patients at a Comprehensive Stroke Center

ii Acknowledgements.1 Dedication.2 List of Appendices.4 List of Tables.5 Background.6 Purpose.9 Conceptual Framework.9 Literature Review.12 Agency Description.14 Settings.14 Target Population.15 Congruence of Project.15 Stakeholders.16 Project Design.17 Project Methods.17 Procedures.18 Sample.19 Statistical Analysis.20 Results.20 Discussion.21 Implications for Practice.23 Implications for Future Study.24 Limitations.24 Conclusion.25 Reference.34 THE EFFECT OF COMPUTED TOMOGRAPHY PERFUSION (CTP) 4 List of Appendices Appendix A: Norton Acute Stroke/TIA imaging & Phone Guideline Algorithm.26 Appendix B: ICD Codes of Acute Ischemic Stroke.28 THE EFFECT OF COMPUTED TOMOGRAPHY PERFUSION (CTP) 5 List of Tables Table 1: Demographic Characteristsics and Past Medical History.32 Table 2: Clinical Characteristics.33 Table 3: Intervention Results.33 THE EFFECT OF COMPUTED TOMOGRAPHY PERFUSION (CTP) 6 The Effect of Computed Tomography Perfusion (CTP) Scans on Acute Ischemic Stroke Patients at a Comprehensive Stroke Center
Rhizospheric Bacteria, Destructors of Toxic Aromatic Compounds

Bacteria capable of degradation of a number of toxic organic compounds (aromatic hydrocarbons, n-alkanes, phenol and its chlorinated derivatives) were isolated from the rhizosphere of plants growing on “clean” and oil-contaminated soil. The most active strain, Lysinibacillus sp. Fg1 was able to utilize more than 15 individual substrates. Six bacterial strains of the genus Pseudomonas decomposed polycyclic aromatic hydrocarbons, suppressed the growth of phytopathogenic fungi and bacteria, and synthesized phytohormones auxins. Keywords—bacteria-destructors, rhizospheric microorganisms, polycyclic aromatic hydrocarbons, phenol,
Hybrid solar cells from Sb2S3 nanoparticle ink

Sb2S3 is a promising candidate for solar cell absorbers due to its high absorption coefficient, suitable band gap and earth-abundant constituents. Here we present the preparation of hybrid solar cells from an ink of colloidal Sb2S3 nanoparticles and P3HT. Colloidal Sb2S3 nanoparticles were prepared via hot injection method. Solar cells based on these nanoparticles achieves a power conversion efficiency of 1.5%, which is efficiency record for planar hybrid solar cells based on Sb2S3 nanoparticles. We investigated in detail the role of the capping agents on the performance of solar cells.
The Severity of Anaphylactic and Systemic Allergic Reactions

Dit proefschrift geeft een overzicht van een aantal biochemische, genetische en klinische factoren die van invloed zijn op de ernst van systemische allergische en anafylactische reacties. Specifieke focus werd besteed aan de relatie tussen de ingenomen dosis voedsel en de ernst van de reactie bij voedselallergie. De relatie tussen de ED en de ernst van DBPCVP-reacties is niet geschikt voor klinische besluitvorming, hoewel er een zwakke relatie lijkt te bestaan. De ED en de ernst van de reactie moeten als afzonderlijke factoren bij voedselallergie worden beschouwd. De ernst van anafylactische en systemische allergische reacties is multifactorieel bepaald en moeilijk te voorspellen. De meerderheid van de factoren die de ernst van anafylactische en systemische allergische reacties bepalen, blijft dus onbekend. Om een nauwkeurigere voorspelling van deze ernstige reacties mogelijk te maken moeten nieuwe factoren worden geidentificeerd.
ACSM's resources for the exercise physiologist

This valuable new resource is specifically designed for candidates for the ACSM's Certified Health Fitness Specialist (HFS) and those personal trainers wanting to take their knowledge to the next level. It contains the latest material on health and fitness written by the entity setting the standard for scientifically based practice, The American College of Sports Medicine. The American College of sports Medicine is the largest sports medicine and exercise science organization in the world. More than 45,000 members are dedicated to advancing and integrating scientific research to provide educational and practical applications of exercise science and sports medicine.
Modelling site-dependent environmental impacts of nitrogen fertiliser use in life cycle assessments of crop cultivation

Use of mineral nitrogen fertilisers in crop cultivation has enabled substantial yield increases, strengthening global food security. High yields also allow better resource efficiency and result in higher organic matter inputs to soil, increasing the potential for soil carbon sequestration. However, nitrogen fertilisers cause substantial greenhouse gas emissions and nutrient losses to water bodies when the excess nitrogen leaves the field in reactive form. Thus nitrogen fertiliser can either increase or decrease the environmental impact of crop cultivation, depending on soil management, site characteristics and the aspects considered. Life cycle assessment (LCA) is a commonly used tool to assess the environmental impact of crop cultivation. In LCA, the impacts of all or part of the life cycle of a product, process or service are compiled. For crop cultivation, this generally includes production of inputs, machinery use and soil emissions. However, reactive nitrogen emissions, yield response and soil organic carbon dynamics are highly dependent on site conditions, relationships often poorly depicted in LCAs. This thesis examined the influence of nitrogen fertiliser rate and site on the climate impact and marine eutrophication of crop cultivation as determined by LCA. Methods for quantifying nitrogen emissions from crop cultivation and their impacts were compared, and new methods for assessing marine eutrophication impacts in Sweden and including soil fertility effects of yield increase were developed. The results showed that nitrogen fertiliser rate influenced the climate impact and marine eutrophication of crop cultivation, but that the effect of site was generally stronger. Site affected the two impact categories differently and also affected the nitrogen rate that gave the lowest impact. The level of impact and the effect of nitrogen rate and site also varied considerably with methodological choices, including: emissions models for soil nitrous oxide and nitrogen leaching, marine eutrophication characterisation model and accounting for the symbiotic relationship between yield and soil organic matter dynamics. These findings highlight the importance of careful model selection and interpretation of results when using LCA to assess the environmental impact of crop cultivation.
Mechanical thrombectomy for acute stroke with large vessel occlusion: A single centre audit

Poster: "2017 ASM / R-0070 / Mechanical thrombectomy for acute stroke with large vessel occlusion: A single centre audit " by: " R. Nelles , P. Jenvey, W. Hogg, J. Hocking, N. Waters, A. Coulthard; QLD/AU"
YouTube performance estimation based on the analysis of encrypted network traffic using machine learning

This thesis was completed in the scope of a project focused on YouTube QoE prediction based on encrypted network traffic. During this project, a system called YouQ was developed for the purpose of collecting data both on a client device (Android smartphone) and in the network. The system also includes the YouQ server for processing and visualizing data. This thesis focuses on the second phase of the project: using machine learning algorithms on data collected by the YouQ system to predict QoE classes of each YouTube video streaming session. The dataset that was analysed consists of 343 instances described with 54 network traffic features and a QoE class label (“high”, “medium”, “low”). The dataset was subset using wrapper methods in the WEKA machine learning tool for four machine learning algorithms: Naïve Bayes, SMO, J48, and Random Forest. Classification models were created using OneR and the four listed algorithms. Classification accuracy was assessed and discussed. The results show that the most accurate was the model created using the Random Forest algorithm, with 74% accuracy. Most of the errors happened between classes “low” and “medium” and in the experiments with bandwidth fluctuations. Besides presenting the methodology of feature manipulation, model creation, and evaluation, this thesis provides theoretical information about algorithms, a short guide to using WEKA, and statistic analysis of both application-level and network-level data. Further, to better understand the dataset that was used as an input to machine learning algorithms, the experiment setup and data collection methodology has been described.
Editorial Putting Physics to Work

The highest Tc in superfluidity was until recently 2.17 K in normal 4He. One of the characteristics of superfluidity is a nearly infinite conductivity of heat. We measured in a specific rare earth compound, TmSe0.45Te0. 55 single crystals, the onset of superfluidity at 20 K by means of heat conductivity under pressure. In these crystals an incredible amount of excitons with nex = 3.9·1021/cm3 can be permanently created which condense into a Bose liquid. These excitons have a large hole mass of about 50 me and couple to phonons, thus are really polarons, which are nearly local modes because of the heavy mass. The phonon dispersion is thus very unusual and the specific heat has been measured at high pressures. The crystals become extremely hard with the condensed excitons, harder than diamond. The compressibility has also been measured.
Interaction of sulfuric acid with dolomite (104) surface and its impact on the adsorption of oleate anion: a DFT study

Sulfuric acid (H2SO4) is a specific depressor for apatite rather than for dolomite. The H2SO4treated dolomite can still be floated effectively by oleate. However, the role of H2SO4 in the adsorption of oleate onto dolomite surface remains unclear. In this work, density functional theory calculations were conducted to probe the interactions among sulfate anion (SO42−), oleate anion and the dolomite surface. The adsorption behaviors of SO42− anion onto the perfect and CO3-defect dolomite surfaces were compared. Such results show that SO42− anion could only adsorb onto the defective dolomite surface, where it bonded with a Ca atom. The remaining Ca and Mg atoms at the defect site could further react with the oleate anion, generating new Ca/Mg–O ionic bond. In this regard, oleate and SO42− anions may both present on the dolomite surface. This phenomenon accounts for the flotation of H2SO4-treated dolomite.
The Effect of Principal’s Distributed Leadership Practice on Students’ Academic Achievement: A Systematic Review of the Literature

Distributed leadership as a new scenario of educational leadership has become a popular topic in the contemporary world. Many notable researchers and members of the discourse community have contributed significantly to its development. However, little attention has paid to its effectiveness. Hence, the main purpose of this article is to analyze the existing evidence for the effect of principal’s leadership practice on students’ academic achievement from a distributed perspective. To do so, a systematic search of academic databases was conducted and 68 references spanning from the year 2001 to 2018 were selected and systematically reviewed. Due consideration was given to their concepts of distributed leadership practice, principal’s role, and students’ academic achievement. The findings of this article show that distributed leadership has positive and indirect effect on students’ academic achievement and the role of principal is indispensable. Nevertheless, there is little emperical evidence, a lack of universal accepted patterns and best practices of distributed leadership which strains further investigation. On the basis of evidence currently available, it seems reasonable to recommend scholars, policy developers, and practitioners to recognize the role of principal on distributed leadership and its best practices.
Benthic microbial and whole-community responses to different amounts of 13C-enriched algae: In situ experiments in the deep Cretan Sea (Eastern Mediterranean)

The deep eastern Mediterranean Sea is one of the most oligotrophic regions of the world’s oceans and is therefore highly suitable for investigating the response of a resource-limited deep-sea benthic community to food pulses. Additionally, the benthic response to organic matter (OM) deposition can differ according to the amount of OM entering the sediment. Here, we report on 36-h pulse-chase experiments with 13C-labeled diatoms as a tracer of labile OM. Two loads of OM. equivalent to 25 mg C m~2 (low-carbon [L] experiment) and 250 mg C m~2 (highcarbon [H] experiment), were injected into chambers of a benthic lander. The fate of the added carbon was followed in total community respiration and bacterial assimilation (through 13C enrichment in bacteria-specific fatty acids). A benthic response was clearly evident in both experiments, but carbon turnover rates were higher with a higher OM addition. However, although a larger amount of carbon was assimilated by bacteria in the H experiment, bacterial assimilation accounted for a relatively lower proportion of total carbon processing compared with the L experiment. This result could indicate a modified bacterial response, a larger role of other biotic components in the high-load experiment, or both. This study demonstrates that an impoverished deep-sea benthic community rapidly responds to an input of fresh OM. Furthermore, the carbon flow pathways can differ according to the amount of OM entering the sediment. Consequently, comparison of benthic responses across systems can only be made in cases in which similar quantities and qualities of OM have been used. With the discovery of life in the deep ocean and the first profound studies of deep-sea fauna (e.g., with the HMS Por­ 1 To whom correspondence should be addressed. Present address: Massachusetts Institute of Technology. Department of Earth. At­ mospheric. and Planetary Sciences. Building E34, 42-44 Carleton Street. Cambridge. Massachusetts 02139 (sbuehrin@mit.edu). 2 Present address: University of Aberdeen. Oceanlab, Newburgh. Aberdeenshire. Alberta 41 6AA, Scotland. Great Britain.
Study of environmentally sustainable security in wireless sensor networks

The popular technology Wireless sensor networks (WSNs) are used in many fields of the application such as the medical, the military, the industry, the agricultural, etc. In this paper, explains the security issues in the WSNs. Firstly explain the challenges of Wireless Sensor Networks, the security requirements such as Confidentiality, Integrity, Authenticity, Data Freshness, and Availability and the attacks in the WSNs, the security issues are accomplished via these classes: [the encryption algorithms (symmetric, asymmetric, hybrid) , the security protocols such as (Tinysec, SPINS, LEDS, Minisec, LEAP, MASA, Lightweight LCG, MiniSec, VEBEK of WSN), the secure data aggregation, and the key management,etc.]. Also, this paper concentrates on the study researches that fulfill the high level of the security in the WSNs.
Short Texts Semantic Similarity Based on Word Embeddings

Evaluating semantic similarity of texts is a task that assumes paramount importance in real-world applications. In this paper, we describe some experiments we carried out to evaluate the performance of different forms of word embeddings and their aggregations in the task of measuring the similarity of short texts. In particular, we explore the results obtained with two publicly available pre-trained word embeddings (one based on word2vec trained on a speciﬁc dataset and the second extending it with embeddings of word senses). We test ﬁve approaches for aggregating words into text. Two approaches are based on centroids and summarize a text as a word embedding. The other approaches are some variations of the Okapi BM25 function and provide directly a measure of the similarity of two texts.
Effect of Ammonium Bicarbonate on Intercalation and Exfoliation of Graphite Materials

Intercalation and exfoliation are key steps in the preparation of graphene by thermal exfoliation, and they determine the quality of the final product. Therefore, it is important to explore the influence of intercalation agents on the intercalation and exfoliation of graphite. In this article, ammonium bicarbonate is intercalated into graphite with different degrees of oxidation to form a graphite intercalation compound (GIC) by means of ultrasound and stirring. Then, they are exfoliated by being heated at high temperatures. After ammonium bicarbonate intercalation and heating treatment, XRD, TG, and BET show that the intercalation and exfoliation effect of graphite oxide (GO) is better than that of graphite (G) and expanded graphite (EG). The intercalation mechanism is that the ammonia molecule in ammonium bicarbonate solution contains a wedge-shaped structure and active point, which provides empty orbits for graphite electrons and forms edge intercalation through physical interaction at the same time.
Internal and external branding: A case study of SIMPO furniture company

This paper focuses on corporate branding application. The research question here is if corporate branding can add value to the incubated furniture company, as well as how to connect corporate branding with value. When researching this question, it is necessary to research further on the division of corporate branding which is internal & external (hereinafter referred to as "int. & ext.") branding, since a company added-value is from the cooperation and connection of int. & ext. branding. Only when int. & ext. branding work closely together, corporate branding may add more value to a company. In methodology, it was used a qualitative research method, which is company in-depth interviews, in order to research SIMPO's int. & ext. branding experience. This case study is helpful to analyse how corporate branding is connected to an enterprise value. Through SIMPO's case, being the largest furniture manufacturer and among the largest companies in terms of turnover in Serbia which has been a de facto state-owned business incubator for the majority of light manufacturing companies in and around the city of Vranje, it is illustrated that int. & ext. branding must combine in order to add value to a company. Corporate branding can really create value by increasing more adaptability/uniqueness/recognition. All in all, corporate branding is significant and can add value to companies. Corporate branding will play a more significant role in future marketing competition, so research on the corporate branding is likely to become more meaningful and interesting.