Miracle-dz/UniFAR-FTUs huggingface dataset:
Combining Multi-Scale Wavelet Entropy and Kernelized Classification for Bearing Multi-Fault Diagnosis

Discriminative feature extraction and rolling element bearing failure diagnostics are very important to ensure the reliability of rotating machines. Therefore, in this paper, we propose multi-scale wavelet Shannon entropy as a discriminative fault feature to improve the diagnosis accuracy of bearing fault under variable work conditions. To compute the multi-scale wavelet entropy, we consider integrating stationary wavelet packet transform with both dispersion (SWPDE) and permutation (SWPPE) entropies. The multi-scale entropy features extracted by our proposed methods are then passed on to the kernel extreme learning machine (KELM) classifier to diagnose bearing failure types with different severities. In the end, both the SWPDE–KELM and the SWPPE–KELM methods are evaluated on two bearing vibration signal databases. We compare these two feature extraction methods to a recently proposed method called stationary wavelet packet singular value entropy (SWPSVE). Based on our results, we can say that the diagnosis accuracy obtained by the SWPDE–KELM method is slightly better than the SWPPE–KELM method and they both significantly outperform the SWPSVE–KELM method.
Leader-follower formation control of Multi-robots based on bearing-only observations

This study proposes the bearing-only leader-follower formation control method and examines the nonlinear observability properties of the leader robot system. A study of the nonlinear observability properties between the leader robot and landmarks shows that the system is completely observable when the leader robot can observe four diﬀerent landmarks. A subsequent study of the leader-follower formation control shows that when the leader robot system satisﬁes the observability condition of the nonlinear system, the system output can convey suﬃcient information to allow the observer to provide a correct estimate of the state. Consequently, multi-robots can quickly form and maintain a formation based on the following suﬃcient bearing-only information, which is that follower robots observe the leader robot. In leader-follower formation, the unscented Kalman ﬁlter is employed to estimate the states of the leader-follower robot system. Based on this system, the input-output feedback control law is executed to control the real-time movement of the followers, which allows the leader-follower formation to be properly maintained. Finally, simulation results are presented to demonstrate that the proposed approach can eﬃciently control the formation of multi-robots as desired.
Knowledge Representation for Cognition- and Learning-enabled Robot Manipulation

Knowledge representation and reasoning (KR&R) systems are widely employed for the representation of abstract knowledge. Action models are usually representations of state transitions: Actions can be performed if all pre-conditions are met, and it is expected that the designated effects will take place when the action is executed. However, embodied agents need additional knowledge about how their body should be moved to achieve their goals without causing unwanted side effects. The proposed action representation is based on force dynamic events that occur when an embodied agent interacts with its world. We show how patterns of force events can be used to define semantics of action verbs. Robots use our model to acquire episodic memories which are stories of their performance coupled with sub-symbolic data, and they share their experience through the knowledge service openEASE.
Which tool to use? Grounded reasoning in everyday environments with assistant robots

We present a cooperative reasoning agent embodied into a mobile robot enabled to explore its environment by a camera. The robot can infer missing knowledge given an action and an object by the user, like for example “I want to open a wine bottle. ”. Available tools are explored by the robot and it finally recommends the most suitable one. The reasoning is on the one hand based on a static ontology that describes how to relate the actions “open” and “cut” with a fixed set of tools. On the other hand, unknown actions and tools are resolved by looking up for synonyms or super/sub-class relations in Wikidata and WordNet. By this, the robot tries to map knowledge from linked data to its internal interpretable ontology. To retrace the reasoning process, the robot is able to explain its conclusions by text to speech. Finally, we show the performance of the system based on different settings for scanning the linked data.
A BEME Review of Longitudinal Community and Hospital Placements in Medical Education: Their nature and scope, and factors associated with successful learning outcomes

Clinical experience is a core component of medical education. Clinical placements are typically four to eight weeks long. Such traditional short-term and mainly hospitalbased rotations, supervised by an array of preceptors, are increasingly being criticised as poorly aligned to current educational theory and society’s health-care needs. In response to these concerns, longitudinal, extended or integrated placements have been introduced. However there has been no systematic review of the effectiveness of these programs to date.
Which Factors Have the Greatest Impact on Student’s Performance

Nowadays, a great deal of educational data has been produced by E-learning system and MOOC. Educational data is important for Teaching and research. These educational data can be classified many kinds of feature, such as demographic features, social features and behavioral features. And which feature is the most import for student’s performance? In this paper, In this paper, we use some common data mining technologies including Naïve Bayesian(NB), Artificial Neural Network(ANN), Support Vector Machine(SVM) and Decision Tree Classifier(DT) to predict students’ performance, and try to find out the influence of characteristics on students’ academic performance. From the conclusion, we can see that SVM technique outperform others, and Behavioral Features have good effect on students’ performance.
The American trend of female pubic hair removal

Depilation and/or trimming of pubic hair, increasingly being used by contemporary western cultures, could be considered a highly normative practice (Toerien, Wilkinson & Choi, 2005). The purpose of this study was to explore factors that influence the recent development of American women‟s decision to depilate and/or trim the pubic region. Twenty American women between the ages of 18 and 57 participated in an online survey. Data was analyzed using a grounded theory approach, which consisted of a two-step process involving coding and memowriting. The study determined that depilation of pubic hair is a growing practice amongst American women. This change in pubic hair grooming practices is related with an increased presence of pubic hair discussion among individuals as well as in popular culture.
Legacy Atmospheric Profiles and Derived Products From GOES‐16: Validation and Applications

The Geostationary Operational Environmental Satellite‐R (GOES‐R) series started a new era for the U.S. geostationary satellite observing system. The Advanced Baseline Imager (ABI) onboard the GOES‐R series has fine temporal (30 s to 10 min) and spatial resolutions (0.5–2 km), and 16 spectral bands. However, due to the lack of an infrared sounder, the ABI is used to continue the legacy atmospheric profile (LAP) products that the previous GOES Sounder has, including the legacy atmospheric moisture profile, legacy atmospheric temperature profile, total precipitable water, layered precipitable water, and derived atmospheric stability indices. The ABI LAP retrieval algorithms have been developed under the GOES‐R series Algorithm Working Group (AWG) program funded by the GOES‐R Program Office. The LAP products from GOES‐16 have been operational and validated with a series of reference data sets including radiosonde observations, the Global Positioning System from SuomiNet, the Advanced Microwave Scanning Radiometer 2 total precipitable water measurements, as well as global operational analysis from National Oceanic and Atmospheric Administration and European Centre for Medium‐Range Weather Forecasts models, for almost a year (from 2017 to 2018) to assure the data quality for applications. In addition, the LAP products have been successfully demonstrated at the Hazardous Weather Testbed experiments in the summer of 2017 and the spring of 2018. Both validation results and Hazardous Weather Testbed demonstrations indicate that the GOES‐R series LAP products meet the product requirements and provide added value over NWP short‐range forecasts, especially for middle‐upper tropospheric moisture, in situation awareness and nowcasting.
Dijital Finansal Okuryazarlık ve Bireylerin Finansal Teknoloji Kullanma Konusundaki Tutumları

Finansal hizmetlerin daha hizli ve kolay bir sekilde kullanilmasi icin finans ve teknolojinin bir araya gelmesiyle olusan yeni akim “FinTech” olarak tanimlanmaktadir. Bu calismada tesadufi ornekleme yontemi ile secilmis 102 kisinin oncelikle dijital finans alanindaki okuryazarliklari olculmustur. Ayni zamanda FinTech’in beraberinde getirdigi dijital finansal urun ve hizmetlere karsi katilimcilarin tutumlari ve kullanim oranlari incelenmistir. Anket sorulariyla katilimcilarin finansal teknolojileri kullanma tutumu uzerinde etkili oldugu dusunulen yedi faktor belirlenmistir: (1) Algilanan risk, (2) Operasyonel risk, (3) Guvenlik riski, (4) Hukuki risk, (5) Aracisiz Islem Yapma, (6) Algilanan Fayda ve (7) Ekonomik faydadir. Calismada elde edilen bulgularda; katilimcilarin dijital finansal urun ve hizmetlerin buyuk bir kismi hakkinda bilgi sahibi oldugu ancak kullanimi icin daha fazla bilgi gerektiren uygulama ve araclar icin ise egitim ve bilgilendirmenin gerekli oldugu ortaya cikmaktadir. Bunun yaninda aracisiz islem yapma kolayliginin, katilimcilarin dijital finansal urun ve hizmetlere karsi tutum ve davranislari uzerinde oldukca etkili oldugu gorulmektedir.Oncelikli olan konu, genclere dijital teknolojileri, uygulamalari ve urunleri ogrenmeleri icin egitim vermektir. Yenilik ve marka yaratmak icin girisimcilere tesvikler verilmelidir. Dijital donusum ve dijital finansal yenilikler gerceklestirilemezse gelismekte olan ulkeler icin rekabet daha zor olacaktir.
Palmprint recognition based on local joint edge and orientation patterns

Aiming at the characteristics of edge gradient features and orientation features of palmprint images, a new Local Joint Edge and Orientation Patterns (LJEOP) method is proposed to extract palmprint features. Firstly, the Kirsch operator utilizes calculate the edge response values of palmprint images in 8 different orientations and the Local Maximum Edge Pattern(LMEP) is proposed to represent the edge features. The orientation features of the palmprint image are extracted by using a Gabor filter or a Modified Finite Radon Transform (MFRAT). Then the joint analysis of edge features and orientation features is carried out to construct a two-dimensional feature matrix. Compared with some existing palmprint recognition methods, our experimental results on the MSpalmprint library achieve higher recognition rate ,lower equal error rate and faster recognition speed.
Efficient public-key operation in multivariate schemes

The public-key operation in multivariate encryption and signature schemes evaluates \begin{document}$ m $\end{document} quadratic polynomials in \begin{document}$ n $\end{document} variables. In this paper we analyze how fast this simple operation can be made. We optimize it for different finite fields on modern architectures. We provide an objective and inherent efficiency measure of our implementations, by comparing their performance with the peak performance of the CPU. In order to provide a fair comparison for different parameter sets, we also analyze the expected security based on the algebraic attack taking into consideration the hybrid approach. We compare the attack's efficiency for different finite fields and establish trends. We detail the role that the field equations play in the attack. We then provide a broad picture of efficiency of MQ-public-key operation against security.
Cardiac and Mitochondrial Adaptations in Response to Aging and Doxorubicin in Rats Bred for Divergent Aerobic Capacities

Doxorubicin (DOX) remains as one of the most widely prescribed and effective anticancer agents. A major limitation of the therapeutic effectiveness of the drug is the occurrence of irreversible, progressive, dose‐dependent cardiotoxicity. Aging increases the risk of cancer, and the use of anticancer medications. Active aerobic running capacity has been shown to protect against DOX‐induced cardiac dysfunction, but little is known of the protective effects of intrinsic non‐trained aerobic capacity, or whether the benefit persists into aging.
A study on elderly people's satisfaction level with oral exercise program

Objectives : This study was to examine the satisfaction level of participants in a oral exercise program geared toward the improvement of oral function, their reuse intention of the program and their willingness of recommendation in an effort to facilitate the advancement of the program. Methods : The subjects in this study were 85 senior citizens who used senior welfare centers and nursing homes in Seoul. A oral exercise program was implemented 24 times from April to June 2009, twice a week, and the selected elderly people participated in the program 20 times or more. An interview survey was conducted by two trained dental hygienists, and the collected data were analyzed. Results : 1. As for satisfaction level with each part of the program, the elderly people investigated expressed the best satisfaction with the service supplier(a mean of 3.81), followed by the usefulness of the procedure of the program(3.77) and oral exercise(3.64). 2. The satisfaction level with oral exercise had a significant impact on their overall satisfaction with the program, reuse intention and willingness of recommendation, and the entire satisfaction level with the program was correlated to reuse intention and willingness of recommendation(p
The DePaul Symptom Questionnaire-2: a validation study

ABSTRACT Background: The DePaul Symptom Questionnaire (DSQ) was developed to assess the symptomatology and case definition fulfillment of individuals with myalgic encephalomyelitis (ME) and chronic fatigue syndrome (CFS). The questionnaire was recently revised to improve its psychometric properties, increase its diagnostic reliability, and assess symptoms required by case definitions. The resulting instrument was named the DSQ-2. Purpose: The current study sought to evaluate the utility and reliability of the new and revised items in the DSQ-2. Method: A cross-sectional sample of 399 adults with ME or CFS was recruited to complete the DSQ-2. Results: Descriptive analyses of the DSQ-2 suggest that the new and revised items enhance the instrument’s ability to assess certain symptom domains and evaluate recent case definitions. Additionally, an exploratory factor analysis resulted in an eight-factor solution: post-exertional malaise, cognitive impairment, fever and flu, pain, sleep disruption, orthostatic intolerance, genitourinary issues, and temperature intolerance. The items within each factor demonstrated strong internal consistency reliability (Cronbach’s alphas = .73 – .91). Conclusion: These analyses indicate that the DSQ-2 offers a more thorough and precise understanding ME and CFS symptomology and case definition fulfillment.
Suicide Attempters - Drug Overdose Patterns and Ratings of Suicidality

A decline of suicide rate can be accomplished by different psychiatric interventions. Early identification of individuals at risk for future suicide is especially important. Results from rating scales could add detailed information, which in turn might strengthen a psychiatric suicid risk assessment. This thesis deals with emergency evaluations and psychiatric inpatient evaluations after a suicide attempt. Intoxications with non-fatal or fatal outcome were examined. Two drugs, the analgesic dextropropoxyphene and the antidepressant amitriptyline were measured in suicides more often than expected from prescription-surveys. The Suicidal Intent Scale (SIS) assesses preparations and aims and thus severity of the suicide attempt. A high SIS score combined with age above 55 years could be regarded as useful risk factors in the clinical evaluation of future suicide risk. Suicide attempters referred to psychiatric hospitalization were rated according to the Beck Hopelessness Scale (BHS) and the Suicide Assessment Scale (SUAS), which both measure different aspects of suicidality. Eventual suicides were recorded at least 12 months later. The validity of the BHS turned out not to be as good as in other studies, and our findings showed that high BHS scores are rather related to depression than to suicide risk. The SUAS has a broad set of items, which evaluate different aspects of the suicidal process. Its ability to predict suicide within one year after a suicide attempt was good. High SUAS-scores were also well associated with a combination of a biological marker of stress - postdexamethasone non-suppression of cortisol, and CSF-5-hydroxyindoleacetic acid - an often discussed marker of suicide risk. The first conclusion is that the prescription pattern in Sweden regarding dextropropoxyphene must be changed. The second is that the SIS and the SUAS are useful tools for suicide risk assessment, and especially together with already known risk factors such as high age and a diagnosis of depression.
The New Window to Athletes' Soul - What Social Media Tells Us About Athletes' Performances

Professional sports has evolved from an activity of game to an activity of organization that has been codified, strategized, and commercialized. One factor that is shaping the sports industry is the pervasiveness of social media. On the one hand, social media is used as a powerful medium for distributing and getting news, engaging in topical discussions, and empowering brands. On the other hand, social media has become a crucial mouthpiece for athletes to interact with peers and share opinions, thoughts, and feelings. However, millions of followers, tweets, and likes later researchers, practitioners, and athletes alike ask whether social media has an impact on athlete’s performance. We conduct a social media usage and a sentiment analysis of 124’341 Twitter tweets extracted from 31 tennis athletes. We link these data to 8’095 corresponding match day performances. The results show that excessive social media usage has a significant negative impact on athlete’s performance.
Climbing the ladder to equitable access for mothers and children: health system transitions to universal coverage in urban and rural settings

Yet it is clear that average health system utilisation figures for urban and rural areas mask sizeable differentials. If utilisation is calculated by wealth or education there can be large differences between the rich and poor in some countries, while in others there is less of a contrast. Furthermore, in some countries it is only the very rich that access care, leaving the poorer majority with far lower utilisation rates. In other countries it is only the very poorest that are excluded. Previous work (Matthews et al, to be published) has typologised patterns of healthcare for maternal and child health into groups of countries. Each of these groups display different characteristics of exclusion from care, ranging from countries where there is massive exclusion except for the richest in urban areas, with no one in rural areas receive the requisite care, to countries where there is almost universal coverage in urban areas and it is only the poorest in rural areas that are marginalised. These exclusion patterns are brought about by very different health system development histories – and reaching universal coverage will require very different strategies to tackle the inequities.
Bank branches efficiency under management and regulatory constraints

The main purpose of this paper is to assess the cost-efficiency of Banco Ciudad de Buenos Aires’s bank branches using a Stochastic Frontier Analysis (SFA). With the results, management can decide on new branching dimension. Also, if some regulatory or managerial limits could be lift, such as closure or opening of new branches without the central bank authorization, or redundant staff reduction, the results could be important for management. We detect best and worst behaved branches. The more cost-efficient branches and the least cost-efficient ones differ in their size and input mix. Nonetheless, they present a similar output mix.
Measures of Patient Safety Based on Hospital Administrative Data - The Patient Safety Indicators. Technical Review Number 5. AHRQ Publication No. 02-0038

Technical Review 5 Measures of Patient Safety Based on Hospital Administrative DataCThe Patient Safety Indicators Prepared for: Agency for Healthcare Research and Quality Department of Health and Human Services U.S. Public Health Service 2101 East Jefferson Street Rockville, MD 20852 www.ahrq. gov Contract No. 290-97-0013 Prepared by: University of California San FranciscoBStanford Evidence based Practice Center Kathryn M. McDonald, M.M. (Stanford) Principal Investigator Patrick S. Romano, M.D., M.P.H. (UC-Davis) Jeffrey Geppert, J.D. (Stanford) Sheryl M. Davies, M.S. (Stanford) Bradford W. Duncan, M.D. (Stanford) Kaveh G. Shojania, M.D. (UCSF) Investigators Angela Hansen, B.A. (Stanford) EPC Research Assistant AHRQ Publication No. 02-0038 August 2002
GREM1, FRZB and DKK1 are key regulators of human articular cartilage homeostasis

Dept. of Pediatrics, Leiden University Medical Center, Leiden, The Netherlands; 4 Dept. of Human Molecular Genetics, University of Heidelberg, Heidelberg, Germany; 5 Dept. of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands; 6 Dept. of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; 7 Dept. of Obstetrics, Leiden University Medical Center, Leiden, the Netherlands
Summary of international vital statistics 1937-1944

ures. Topics that are particularly well covered are those of breast feeding, management of 'eating, vitamins, advice on clothing, and discussions on communicable diseases, including diarrhea. This book should be of value not only to parents but to physicians who are beginning the practice of pediatrics. One very sound suggestion to physicians is that the author indicates that he makes home visits to the baby until the infant-is four months of age. This book is an example of the leadership of practising pediatricians and their contribution to public health. Because it contains fairly specific advice on the application of new scientific developments, it is hoped that it will be revised at frequent intervals. MARTHA L. CLIFFORD