Miracle-dz/UniFAR-FTUs huggingface dataset:
Wavelet transforms with some applications to turbulence and cross correlation detection

This paper presents applications of both continuous and discrete wavelet transforms to study wind turbulence and turbulent-induced forces as well as to detect cross correlation between them. Hidden characteristics, intermittency and energy contribution of spectral-band related components in the turbulence and forces have been investigated in time-frequency plane using some wavelet tools such wavelet auto spectrum, multi-level decompositions. Some advanced tools, moreover, such as wavelet coherence, wavelet phase difference, cross decomposition energy have been applied to track the cross correlation between turbulence and induced forces in the time-frequency plane. It is discussed as some following points: i) high energy events in turbulence and forces occur in short time but dominate almost energy; ii) high correlation events between turbulence and forces are still observed, but localized in small time-frequency zones; iii) intermittent distributions are the nature of power spectra, cross correlation, phase coupling between turbulence and forces at any observed frequency band; iv) no correspondence of high energy events in turbulence and forces is detected in the time-frequency plane. Analyzing data of the turbulence and induced forces have been measured directly on physical model due to wind tunnel experiments.
Enterococci as Fecal Indicator in a Tropical Beach: A Case Study

Fecal enterococci are generally not virulent; however, multidrug-resistant strains have emerged as leading causes of hospital-acquired infections. Thus, periodic enterococci monitoring should be included in highly populated cities to control the dissemination of multidrug-resistant strains to the marine environment. This study aimed to quantify enterococci bacteria from water and intertidal sediment samples in a beach located near Rio de Janeiro touristic spots. We also intended to accomplish if enterococci should be included in touristic beaches sanitary monitoring. Toward this approach, we monitored from August to December 2014 fecal indicator bacteria (FIB) at a beach close to some touristic spots through multiple tube method. Although FIB quantification was within sanitary standards of Brazilian legislation, high enterococci densities (=30 MNP.100 mL) were detected in the water collected in August. Thus, enterococci monitoring should be included in touristic beaches to avoid the risk of multidrug-resistant bacteria dissemination among swimmers and beachgoers.
Hospital Management System Analysis in Effort to Improve Service Quality by Using Structured Design Life Cycle Method (A Case Study of Al-Mulk Regional Public Hospital in Sukabumi City)

The aim of this research is to analyse Hospital Management Information System (HMIS), and to analyse Structure Design Life Cycle (SDLC) method utilization in AlMulk Regional Public Hospital in Sukabumi City. The method utilized in this research is a descriptive qualitative method. The type of this research is a case study research, by using interview and observation. The samples of this research are 100 respondents, which are divided into 5 person of Al-Mulk Hospital Management Team and 95 outpatients. The sampling technique in this research is accidental sampling with SDLC as analysis tool. This research reveals that SDLC method is utilized to improve service quality of hospital information management system provision. Al-Mulk Regional Public Hospital information management system already integrated with every service unit so that this have affected patient service quality and deprive patient’s build-up in outpatient registration centre. The advantage of this research is the utilization of Structure Design Life Cycle method.
COPD_A_231004 269..277

Yoshihisa Ishiura Masaki Fujimura Noriyuki Ohkura 4 Johsuke Hara Kazuo Kasahara Nobuyasu Ishii Yusuke Sawai Toshiki Shimizu Takeshi Tamaki 1 Shosaku Nomura 1First Department of Internal Medicine, Kansai Medical University, Moriguchi, Osaka, Japan; 2Respiratory Medicine, Toyama City Hospital, Toyama, Japan; 3Respiratory Medicine, National Hospital Organization Nanao Hospital, Nanao, Japan; 4Respiratory Medicine, Kanazawa University Hospital, Kanazawa, Japan Purpose: Asthma-chronic obstructive pulmonary disease overlap (ACO), characterized by airway limitation, is an important condition with high incidence and mortality. Although some guidelines recommend triple therapy with inhaled corticosteroids/long-acting muscarinic antagonists/long-acting β2 agonists, this treatment approach is based on the extrapolation of data from studies of asthma or chronic obstructive pulmonary disease (COPD) alone. Methods: A 12-week, randomized, open-label cross-over pilot study was conducted in 19 patients with ACO to investigate the effect of triple therapy with glycopyrrolate (GLY) 50 μg/ day on budesonide/formoterol fumarate (BUD/FORM) 640/18 μg/day. The study period included a 4-week wash-out, 4-week run-in, and 4-week treatment period. Respiratory function tests, fractional exhaled nitric oxide (FeNO), a COPD assessment test (CAT) and an asthma control questionnaire (ACQ) were carried out 0, 4, and 8 weeks after randomization. Results: A total of 19 patients with stable ACO (19 males and no females) with a mean age of 70.7 ± 7.6 years (± standard deviation, SD; range 55–83 years) participated in this study. All patients were ex-smokers with a smoking history of 63.1 ± 41.1 pack-years (± SD). Mean values for inspiratory capacity (IC), an index of hyperinflation of the lung that causes exertional dyspnea and reduced exercise, were 1.93 L (± 0.47 L) after the run-in, 1.85 L (± 0.51 L) after the BUD/ FORMdual therapy period and 2.11 L (± 0.58 L) after the BUD/GLY/FORM triple therapy period. IC values after the BUD/GLY/FORM triple therapy were significantly higher than those after the run-in (p < 0.02). FeNO values, ACQ, and CAT scores were not significantly different among the run-in, wash-out, and triple-therapy periods. Conclusion: The present pilot study showed that triple therapy with BUD/GLY/FORM results in an improvement in lung function parameters including IC, indicating the potential value of triple therapy as standard treatment for ACO.
Ranking Ecological Risk of Metals to Freshwater Organisms in Lake Taihu, China

Due to the persistence and the high toxicity of metals to many aquatic organisms, metals in aquatic ecosystems have attracted considerable attention. The objective of the present study was to rank metals in Lake Taihu based on the threat they pose to aquatic organisms. The method involved the assessment of the risks of metals to native aquatic organisms and the potential influence of concentration distributions. Both quotient and probabilistic methods were used to rank the risks of arsenic, cadmium, chromium, copper (Cu), mercury, manganese, nickel (Ni), lead, and zinc (Zn). Based on the probabilistic method, Cu, Ni, and Zn were the metals of great concern, with Cu posing the highest risk.
A Case Study of the Security Vetting Process of Smart-home Assistant Applications

The popularity of smart-home assistant systems such as Amazon Alexa and Google Home leads to a booming third-party application market (over 70,000 applications across the two stores). While existing works have revealed security issues in these systems, it is not well understood how to help application developers to enforce security requirements. In this paper, we perform a preliminary case study to examine the security vetting mechanisms adopted by Amazon Alexa and Google Home app stores. With a focus on the authentication mechanisms between Alexa/Google cloud and third-party application servers (i.e. endpoints), we show the current security vetting is insufficient as developers' mistakes cannot be effectively detected and notified. A weak authentication would allow attackers to spoof the cloud to insert/retrieve data into/from the application endpoints. We validate the attack through ethical proof-of-concept experiments. To confirm vulnerable applications have indeed passed the security vetting and entered the markets, we develop a heuristic-based searching method. We find 219 real-world Alexa endpoints that carry the vulnerability, many of which are related to critical applications that control smart home devices and electronic cars. We have notified Amazon and Google about our findings and offered our suggestions to mitigate the issue.
An audit and analysis of cancer patients attending radiation oncology department: a tertiary care center experience

Cancer is a major cause of morbidity and mortality in developing and developed countries alike. In many lowincome and middle-income countries, including India, most of the population does not have access to a wellorganized and well-regulated cancer care system. Diagnosis of cancer often leads to catastrophic personal health expenditures. Cancer is the second and fourth leading cause of adult death in urban and rural India, respectively. Cancer is now the leading cause of increasing expenditure before death in India among other diseases. Out ofpocket expenditure is three times higher for private inpatient cancer care in India. Approximately 40% of cancer costs are met through borrowing, sales of assets, and contributions from friends and relatives; these costs exceed 20% of annual per capita household expenditure in 60% of Indian households with a patient with cancer. Estimates show that Indian citizens spent 6.74 billion US dollars in 2012 because of cancer deaths. ABSTRACT
Prevalence of Malaria Parasite among Asymptomatic and Symptomatic Students of Federal University of Technology, Akure, Ondo State

This study was carried out to determine the prevalence of malaria parasites infection among asymptomatic and symptomatic students of the Federal University of Technology, Akure, Nigeria. A total of 300 students (150 each for the two categories of students), 155(51.67%) males and 145(48.33%) females; age range: <20-30 years were recruited for the study after informed consent. Both thick and thin films were made and stained using parasitological standard procedures after collection of blood samples from the students. Analysis of the result showed that 241(80.33%) of the subjects had malaria parasites, 80(53.3%) and 141(94.0%) prevalence for both categories respectively. Highest prevalence (59.0%) and (94.4%) was recorded among the males than the females (46.3%) and (93.6%) respectively for asymptomatic and symptomatic students. Age distribution showed the highest prevalence among subjects of age range <20 years in the two categories (68.4% and 100%) while the least prevalence of 42.9%, 76.9% and 48.3% were recorded among subjects of age range 25-27. According to Body index mass, the result showed that 55.0% of the infection occurred among underweight and 96.3% for normal weight for asymptomatic and symptomatic subjects with a significant difference (p=0.01). On the use of Insecticide Treated Net for both categories of students, those using nets had the higher prevalence of malaria infection 61.9% and 94.4% respectively. Asymptomatic malaria was a risk factor among the students therefore measures to reduce the prevalence are advocated.
GLYCEMIC INDEX AND GLYCEMIC LOAD IN BRAZILIAN ATHLETES’ DIETS

Background: Glycemic Index (GI) and Glycemic Load (GL) have been used as tools for choosing diet as a health reference, and especially for athletes, with the purpose of improving physical performance. However, little is known about the GI and GL in the diet of athletes from different sports. Aim: Investigate the GI and GL in the diet of Brazilian athletes. Methods: Cross sectional study conducted with 113 athletes (18.4 ± 6.6 years, 22.3 ± 3.2kg/m2, 13.6 ± 7.0 % body fat, and 12.0 ± 6.9 hours of weekly training). Bioelectrical impedance was used to assess percentage body fat and anthropometric measurements were evaluated. Food consumption was assessed through the 24hour dietary recall, GI and GL were calculated based on previously established procedures. The Mann-Whitney U test and Kruskal-Wallis test were used for statistical analysis. Results: There was no statistical difference in training volume, macronutrient intake, total calories, GI among men and women (P > 0.05). The GL was lower in women ́s diets and was different among sports. High GL diets presented lower percentage of body fat than moderate GL (P< 0.05). Conclusion: The majority of the athletes presented a diet with a low GI and high GL. Differences were found between GL classification and modalities and body fat. Further studies are required to better elucidate the effects of these dietary glycemic properties on body composition and physical performance.
Clinical and pathogenesis overview of Enterobacter infections

Enterobacter spp. is a gram-negative environmental bacterium, which belongs to the Enterobacteriaceae family and is found in water, sewage, soil, and plants. These bacteria are common among humans and animals, and the most frequently isolated species is Enterobacter cloacae. The species of this genus are often opportunistic pathogens with expanding significance in nosocomial infections, particularly in neonates, immunocompromised patients in intensive care units, emergency sections, skin and soft tissue infection wards, and urology wards. With the unexpected and rapid increase in antibiotic resistance in various bacterial species, there has been a new alarm for the health of the human community. Enterobacter species cause pneumonitis, bacteremia, post-neurosurgical meningitis, neonatal meningitis, skin and soft tissue infections, and urinary tract infections. Some of the main risk factors for the occurrence and dissemination of Enterobacter spp. infections are poor hand hygiene, crowding, low birth weight, premature birth, intubation of patients, prolonged hospital stay, contaminated infant formula, intravenous feeding, use of extended-spectrum antibiotics and use of intravenous catheters.
Education in A Positive Way

DOI: 10.21276/sjahss.2018. 6.6. 3 Abstract: The present schooling system had failed to address various individual, societal and national level problems which we are facing currently. The alarming rate of increase in the number of dropouts, delinquents, drug addicts and teen suicide is a major concern which needs to have special attention from the educators. In search for a panacea for all these concerns the paper suggests positive education as an effective strategy which not only engages the learner in established curricula but also helps to develop the learner‟s personal as well as interpersonal skills. The article focuses on various models of positive education and some most effective techniques to integrate positive approaches to the existing system.
Bidirectional Type Inference in Programming Languages Submitted in Partial Fulﬁllment of the Requirements for the Qualifying Exam of the

Type inference in programming languages helps to maintain the balance between powerful features and user-friendliness. Bidirectional type inference is a simple, eﬀective, and widely-used technique in approaches to partial type inference that locally propagates type information be-tween nodes of the abstract syntax tree (AST) through two main judgment forms, called synthesis and checking mode. By itself, bidirectional type inference serves as a strong foundation for local type inference systems, an approach that beneﬁts from simplicity in use and implementation while still being powerful enough to infer a good number of type annotations; in conjunction with other techniques for type inference, bidirectionality can be used to help relate the type inference implementation to an independent speciﬁcation that can better communicate where type annotations are required, where they can be omitted, and what types are inferred, all without getting into implementation details. This report provides an introduction to the concept of bidirectional type inference and gives an in-depth analysis of how it is used in three published type systems to help provide a speciﬁcation for sophisticated type inference techniques.
Dilated-Dense Network for traffic congestion prediction Model

It is very important to use the convolutional neural network model for urban short-term traffic congestion forecasting. However, pooling operation process is prone to cause data structure information loss when using CNN model to predict short-term traffic flow. Complete data feature information cannot be transmitted, which reduces the prediction ability of the model. To solve these problems, an innovative model based on dilated convolutional-dense networks is proposed in this paper. Firstly, the model can use the dilated convolution to obtain the characteristics of the larger receptive field with fewer network parameters, and fully extract the complex and variable data features. Then, through up-sampling and densely connected, the problem of parameter degradation in the process of increasing layers of neural network can be solved. Finally, the actual urban road average speed data blocks are taken to verify the validity of the model. Experimental results show that compared with traditional CNN model, the average absolute error of the network prediction structure is reduced by 3% to 23%.
Mean Trophic Level and Fishing in Balance index of fisheries landings in the Persian Gulf and Oman Sea

This study examined the changes in Mean Trophic Level (MTL) and Fishing in Balance index (FiB) of the Iranian fisheries harvested from the Persian Gulf and Oman Sea during the period from 1997 to 2016. The MTL was initially increased significantly followed by a consistent decline for two decades (R=0.45, P <0.05). The MTL demonstrated a declining process that might be attributed to over exploitation of fish stocks. The FiB index also illustrated an intermittent process and positive values from 1998 to 2016, that could be related to the unbalanced condition in this ecosystem (R=0.92, P <0.05). The analysis and interpretation of the MTL and FiB patterns suggest that the fish stock s in the regional Iranian waters of the Persian Gulf and Oman Sea have been over-exploited, which might have been due to fishing down (FD) in this area. The results revealed that the fishery management strategies which were implemented during this period had not been appropriate and should be replaced with new policies and regulations based on the stock assessment, fishing effort, and other effective factors.
BMC Energy A review of the applications of fuel cells in microgrids: opportunities and challenges

Since the last two decades, microgrid, as one typical structure in smart grid framework, has been receiving increasing attention in the world. Meanwhile, fuel cell (FC), as one promising power source, has redrawn the attention of both academia and industry since the beginning of 21th century. Some encouraging achievements in FC technology have been realized thanks to the efforts taken in the last years. Due to this, it is seen that FC, as a clean and efficient energy source, is penetrating into different fields. Among the applications, integrating FCs into microgrids has shown interesting advantages on improving the performance of microgrids and promoting the use of the hydrogen energy. Some ongoing projects have shown that FCs of different power scales can be integrated into microgrids smartly and in different manners. Along with the advantages carried by the combination of the two technologies, many challenges lying on multiple domains are faced in the process. The challenges can be from the FC, the microgrid, and the integration of these two technologies. In this review paper, the advantages of integrating FCs into microgrids are summarized after recalling the knowledge background of FC. The challenges and ongoing researches on FCs and FCs based microgrids are then reviewed. Based on the analysis, the research directions are then extracted in view of the challenges.
Accident Prevention By Eye-Gaze Tracking Using Imaging Constraints

: This paper comes as a response to the fact that, more and more accidents are caused by people who fall asleep at the wheels. Eye tracking is one of the most important aspects in driver assistance systems, tracking an eye plays a major role as eyes hold more information about gaze, attention and fatigue level of drivers. This plays a vital role in the ADAS systems. The number of times the driver blinks will be taken into account for identification of the driver’s drowsiness. The direction of where the driver is looking will be estimated according to the location of the driver’s eye gaze. The developed algorithm was implemented using Open-CV in order to create a portable system. This system is designed with alarm indication to wake up the driver on the wheels using the buzzer and the vibrator attached to the steering wheel. If the person is inebriated, the vehicle would stop.
Content Analysis of CEO Letters to Shareholders Authored by Business Simulation Participants

The author applies DICTION software to conduct a content analysis of CEO letters to shareholders written by senior undergraduate students participating in a total enterprise simulation exercise. DICTION, a text analysis program, provides feedback on the tone of the language in these documents. Levels of three attributes of language –Optimism, Certainty, and Realism – are related to firm performance over three periods.
An Evaluation of Corrosion on Commercially Available Orthodontic Brackets Using UV-VIS Spectrophotometre and Small Angle Xray Scattering: An In Vitro Study

DOI: 10.21276/sjodr.2017. 2.11. 6 Abstract: The aim of this study was to compare three types of commercially available brackets for corrosion susceptibility after immersing them in artificial saliva. A total of 360 brackets were used. The brackets were divided in to four groups (Control Group X and Experimental Groups A, B and C). The experimental groups were divided on the basis of duration of immersion in artificial saliva of pH 6.75 ± 0.15. Each group was divided in to corresponding subgroups. The bracket surfaces were analysed using UV –Visible Spectrophotometer and Small Angle Xray Scattering (SAXSS). ANOVA (Analysis of One Way Variance) was used for group comparisons. For post hoc comparisons Newman-Keuls multiple posthoc procedure was applied. Leone and Nu Edge CrCo brackets showed progressive signs of corrosion and leaching of Fe and Mg ions after immersion in artificial saliva. Discovery SL brackets showed no signs of corrosion. Leone and Cr-Co Nu Edge are susceptible to corrosion activity in comparison to Discovery SL brackets.
A Review On Sentiment Analysis Methodologies, Practices And Applications

: The Sentiment Analysis is sometimes a technique to look at the information that is the form of text and determine opinions content from the text. It is also termed as emotion or feeling mining. On-line communication channels like Twitter, Facebook, YouTube, and so forth are these days a lot of passion into human life. People share their thoughts or feelings thereon. During this review paper, we tend to match on opinion mining or feeling assessment which is an area of web data mining and Machine Learning. This paper shows aftereffect of examination by utilizing different ML and Lexicon investigation methodologies. Outcomes are analyzed to play out an evaluation study and check the estimation of the present composition. In this manner, it will help the future investigators with understanding present beginnings in the configuration of possibility examination.
2020-02409-Doctorant F/H Uniform Cloud and Edge Stream Processing for Fast and Intelligent Big Data Analytics

A propos du centre ou de la direction fonctionnelle Le centre Inria Rennes Bretagne Atlantique est un des huit centres d’Inria et compte plus d'une trentaine d’équipes de recherche. Le centre Inria est un acteur majeur et reconnu dans le domaine des sciences numériques. Il est au cœur d'un riche écosystème de R&D et d’innovation : PME fortement innovantes, grands groupes industriels, pôles de compétitivité, acteurs de la recherche et de l’enseignement supérieur, laboratoires d'excellence, institut de recherche technologique.