Miracle-dz/UniFAR-FTUs huggingface dataset:
Complexity Analysis For Performance Modelling

Current automatic and empirical performance modelling approaches are heavily challenged by large cluster programs. Especially programs with multiple performance relevant parameters are solvable only with high effort, due to the large search space of performance functions, spanned by combining the performance relevant parameters with simple arithmetic operations. The search space is, therefore, increasing extensively with more parameters. Current empirical performance modelling tools like ExtraP are struggling with large search spaces but are able to deal with them. Actually, ExtraP limits its search space to simple functions, which were covering most of the complexity functions of real-world programs, excluding quadratic or cubic functions, to downsize the search space and decrease the modelling time. To overcome the problem of exploding function search spaces, this work evaluates the usage of Deep Neural Networks to predict a rough complexity class of the performance function and therefore enables the option to significantly refine the performance modeller’s search space while also covering more function types. The deep learning models are trained and evaluated on synthetic datasets with two and three parameters e.g. amount of processors and problem size. Further, this work introduces a multi-parameter approach, which utilizes pre-trained models dealing with fewer parameters, to support the higher parameter model. Evaluation of the deep learning models reaches an accuracy of 98.6% for predicting the correct complexity class of performance functions with 2 performance relevant parameters and 86% with 3 parameters.
Verbal memory impairment in polydrug ecstasy users

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Preparation and characterization of self-assembled dye fibers

1 Abstract— Two types of fibers have been prepared by selfassembly. The first system is made of Astrophloxine hydrogel fibers, based on the stacking of molecules by ππ interactions. Various properties of the hydrogel have been characterized with UV-vis absorbance, Fluorescence spectroscopy, calorimetric profiles, and rheology. The hydrogel shows temperaturedependent fluorescence. Above the melting temperature T>44°C, fluorescence and hydrogel structure are lost, but they are recovered upon cooling, demonstrating that the process is reversible. The fibers also showed a temperature-dependent birefringency. The second system of fibers was formed by ionic self-assembly (ISA) of two oppositely charged dyes. This system was characterized by SEM and TEM, as well as X-Ray diffraction. The ISA fibers were able to encapsulate a drug, showing promise for controlled drug release.
Relationships between Academic Achievements and Student Motivation, Relative Autonomy Index and Self-Perception of Competence before Streaming

Student motivation and self-perception of academic competence are crucial elements affecting every individual in the process of learning. This study, based on Self-Determination Theory, explores the strength of correlations between academic achievements in English and mathematics of students from three Singapore primary schools before they were streamed, with respect to their motivation to learn, relative autonomy index (RAI) and selfperceptions of academic competence. The strengths of the correlations of these aspects of learning were considered with respect to academic achievements in English and mathematics. Correlations were examined before the students were streamed into three groups according to their academic ability which was based on the examination results at the end of their primary four education. Students with high, middle and low academic achievements were placed into three courses, High Course (HC), Middle Course (MC) and Low Course (LC) respectively. Results show students who were least academically inclined had a higher dependency on external regulations and high achieving students had a greater self-perception of academic competence and were least motivated by external regulations. 
On The Use Of Machine Learning For Temporal Performance Prediction In Lte Advanced Networks

: Performance prediction is an indispensable topic to any mobile network operator. It allows the operators to be aware of future network scenarios and take actions before they occur. This paper explores various machine learning approaches to predict performance. Real world data is mined and analyzed to identify the geospatial distribution of samples and their temporal relationships. Time series techniques based on general additive model, auto-regressive model and deep learning are evaluated. Long-term short-term deep learning model was used, and it performed better compared to the others giving results that are adequate for most planning and optimization tasks.
CO Gas Adsorption on SnO2 Surfaces: Density Functional Theory Study

This research is devoted to the investigation of the toxic carbon monoxide gas adsorption mechanisms on the tin dioxide semiconductor. We used density functional theory to describe adsorption processes and found out that the Mars-van Krevelen adsorption mechanism is not responsible for adsorption on (101) and (001) surface orientations of tin dioxide. For (110) and (100) surfaces, after adsorption carbon dioxide molecule forms and desorbs from the surfaces. For (101) surface orientation, carbon monoxide adsorb to the surface’s oxide by carbon atom and stay bonded to it. Charge transfer from the molecule to the surface, which equal to 1.9e calculated by Bader charge analysis. In the case of (001) surface orientation, carbon monoxide adsorb to surface’s oxygen and stay bonded too. Here, we consider half and full surface coverages. It was shown, that during full surface coverage, only one molecule can adsorbs and transfer 2e charge. Electronic density of states calculation was done to explain the increase of surface conductance.
Transcranial Doppler scanning and the assessment of stroke risk in children with haemoglobin sickle cell disease

Objective : To assess the role of transcranial Doppler (TCD) scanning in assessing the risk of stroke in children with haemoglobin SC (HbSC) disease. TCD scanning has an established role in primary stroke prevention in sickle cell anaemia but its value in HbSC is unknown. Design : A retrospective audit of routinely performed TCD scans and routinely collected clinical data. Setting : A paediatric sickle cell clinic in a teaching hospital in south London, UK. Patients : 46 children with HbSC disease who have undergone routinely performed TCD scans and steady-state blood tests. Main outcome measures: The time-averaged mean of the maximum velocity (TAMMV) in the middle cerebral artery circulation correlated with clinical and laboratory data. Results: The mean TAMMV was 94 cm/s, with a 98th centile of 128 cm/s. This is significantly less than the published ranges for HbSS, with a mean reading of 129 cm/s. One child had a stroke at the age of 5 years, when her TAMMV was measured at 146 cm/s. Conclusions: Further studies are needed to assess stroke risk in HbSC disease, but we suggest that TCD measurements are potentially useful in this condition, and that readings greater than 128 cm/s are abnormally high and warrant further investigation.
Fingerprinting-Based Indoor Localization with Commercial mmWave WiFi - Part I: RSS and Beam Indices

Millimeter-wave (mmWave) communications is an emerging technology expected to bring unprecedented data rates and throughput. WiFi operating at unlicensed 60 GHz range is envisioned to become an ubiquitous technology and the IEEE 802.11ad standard is an initial attempt in that direction. Al-though spatial and temporal resolution of mmWave signals make them suitable for location estimation, a variety of hardware-related issues and commonly encountered difficulties in extract-ing channel measurements from commercial chipsets, challenge opportunistic use of commercial mmWave WiFi chips for indoor localization. We propose in this paper an indoor localization method that fingerprints transmit beam indices that a pair of WiFi transceivers employ to establish a mmWave link, as well as the resulting received signal strength (RSS). In particular, we develop an algorithm that learns possible probabilistic models from the fingerprint data and leverages them to perform indoor localization in the online stage. The proposed algorithm is experimentally evaluated using commercial 60 GHz WiFi routers in an office space area and localization error of around 30 cm is demonstrated.
HERMESv3, a stand-alone multiscale atmospheric emission
modelling framework – Part 2: bottom-up module

Abstract. We describe the bottom-up module of the High-Elective Resolution Modelling Emission System version 3 (HERMESv3), a python-based and multiscale modelling tool intended for the processing and computation of atmospheric emissions for air quality modelling. HERMESv3 is composed of two separate modules: the global_regional module and the bottom_up module. In a companion paper (Part 1, Guevara et al., 2019) we presented the global_regional module. The bottom_up module described in this contribution is an emission model that estimates anthropogenic emissions at high spatial (e.g. road link level) and temporal (hourly) resolution using state-of-the-art calculation methods that combine local activity and emission factors along with meteorological data. The model computes bottom-up emissions from point sources, road transport, residential and commercial combustion, other mobile sources and agricultural activities. The computed pollutants include main criteria pollutants (i.e. NOx, CO, NMVOC, SOx, NH3, PM10 and PM2.5) and greenhouse gases (i.e. CO2 and CH4, only related to combustion processes). Specific emission estimation methodologies are provided for each source, and are mostly based on (but not limited to) the calculation methodologies reported by the European EMEP/EEA air pollutant emission inventory guidebook. Meteorological-dependent functions are also included to take into account the dynamical component of the emission processes. The model also provides several functionalities for automatically manipulating and performing spatial operations on georeferenced objects (shapefiles and raster files). The model is designed so that it can be applicable to any European country/region where the required input data is available. As in the case of the global_regional module, emissions can be estimated on several user-defined grids, mapped to multiple chemical mechanisms and adapted to the input requirements of different atmospheric chemistry models (CMAQ, WRF-Chem and MONARCH) as well as a street-level dispersion model (R-LINE). Specific emission outputs generated by the model are presented and discussed to illustrate its capabilities.
Prevalence and factors associated with obesity in children under five years old in Rio Branco – Acre

Method: A database analysis was carried out from the Risk Factors and Morbidity Survey for Noncommunicable Diseases in the Municipality of Rio Branco / Health and Nutrition for Adults and Children in 2008.This cross-sectional study examined 687 children aged 0 to 60 months in urban and rural areas. Statistical analysis considered expansion and sample design. The prevalence of childhood obesity according to the anthropometric indices P / I (weight for age), P / E (weight for height) and BMI / I (Body Mass Index) were respectively 6.85% (95% CI = 5.30). 8.80), 6.66% (95% CI = 3.22 13.27) and 6.61% (95% CI = 3.25 12.98).
Workability’s recreation methodic with application of cupping massage and autogenic training of women student teams’ basketball players

Purpose: to experimentally subsituate effectiveness of non traditional complex methodic of recreation in female basketball players’ training process. Material: 22 basketball players of women student’s team participated in the research. Pedagogic testing was conducted by 12 tests in special physical and technical fitness. Psycho-physiological testing was conducted by program PSYCHO-DIAGNOSTIC. Groups were trained by identical programs during 9 weeks. Results: we authors observed increased physical and technical fitness of basketball players. Besides, quantity of mistakes in response to visual irritator reduced. It indirectly witnesses about strengthening of nervous processes. There was registered influence of mind on quality of organism’s recreation after physical loads. Conclusions: the authors recommend methodic of cupping massage, combined with autogenic training. Autogenic training implies repeated pronouncing by instructor (or independently by sportswomen) of text, describing coming turn by turn natural images. Peculiarities of massage were influence of massage passes on muscles and ligaments. Cupping massage was used after warming up classic massage techniques.
A New Hybrid Spectral Gradient Projection Method for Monotone System Equations with Convex Constraints

Spectral gradient methods and projection technique have motivated many numerical methods for solving monotone equations. In this work, we proposed a hybrid spectral gradient algorithm for system of nonlinear monotone equations with convex constraints. The method is a combination of a convex combination of two different positive spectral parameters and the projection technique. The global convergence of the method was established under the assumptions of Corresponding author email: poom.kumam@mail.kmutt. ac.th (Poom Kumam) Copyright c ⃝ 2018 by the Mathematical Association of Thailand. All rights reserved. 126 A.M. Awwal, P. Kumam, A. B. Abubakar, A. Wakili and N. Pakkaranang monotonicity and Lipschitz continuity. Numerical results presented by means of comparative experiments with a similar method shows the proposed method is very efficient.
The wait is finally over.. or is it

The thesis aimed at analyzing the implementation of an online appointment policy in German Municipalities, studied by taking a closer look at how the city administrations of Düsseldorf, Bonn and Nuremberg incorporated that change. This research was done with the goal to give recommendations to other German Cities which also want to implement such an appointment system. Examination of those cities included what kinds of barriers to reform these actors ran into and which factors contributed in a facilitating manner to the successful implementation of this policy. The theoretical framework was based on the research by Bannink & Resodihardjo (2006), a model which lists several possible barriers and facilitators to reform. To verify whether those factors played a role in the reform processes analyzed, and to fit with the comparative case-study approach this thesis takes, semi-structured interviews were held with a representative of each municipality examined. The findings indicated that none of the cities had any trouble financing the change out of their regular budget. On the other hand, responses pointed towards initial problems when the appointment system was transformed to two different possibilities (online-scheduled vs walk-ins). Employees did not resist this change because of extra effort required from them for the most part, since for most clerks nothing changed. However, in the case of Bonn, employees opposed the new policy because they feared to be replaced by technology and thus lose their job. Regarding facilitators, both employees and leaders wanted the change for a couple of reasons, including modernizing the bureaucracy as well as saving resources and reducing overtime for civil servants. Extensive communication with the employees from a leader with position power was deemed a crucial factor for change as well. On the other hand, all the cities implemented the policy as a single project and not as part of a larger reform initiative. External support was also not necessary for the reform to take place, so the latter two were no facilitators in these cases. Recommendations for cities which want to implement an online appointment solution include to only work with appointments once the policy has been implemented. In addition, communication with employees can be crucial to prevent possible resistance to change. Also with regard to employees, if they have to work with new software, training them adequately is important as well. Especially in the beginning phase of the new policy, administrators should be more generous with the time assigned to each case. If the municipality operates multiple branch offices, it can be helpful to first test the new policy in one office and later on enlarge it to the others. This also relates to another important recommendation, which is constant learning cycles to further improve performance. Another recommendation was to engage in a public-private-partnership to acquire the new software necessary, which makes use of expertise advantages.
Persistent autonomous exploration, mapping and localization

In this thesis, we investigate methods for exploration, persistent autonomy, and simultaneous localization and mapping tasks for an autonomous mobile robot with battery constraints. First, we present modifications to baseline frontier exploration on an occupancy grid that makes the robot’s frontier exploration more efficient. Second, we describe the new software structure and recovery behavior for an autonomous robot to navigate to its dock despite errors of uncertainty in its map. Third, we implemented a landmark-based topological mapping method using a state-of-the-art toolbox that maps the environment using visually unique tags to compare with metric mapping methods. Our analysis shows that the robot explores its environment more efficiently using our method than with previous frontier exploration methods, and that graphbased mapping outperforms metric mapping against ground-truth accuracy tests. Thesis Supervisor: John Leonard Title: Samuel C. Collins Professor of Mechanical and Ocean Engineering
Structured convolutional networks

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Ambulante Schulterarthroskopie durchgeführt in alleiniger Allgemeinanästhesie oder als Kombination mit einem interskalenären Plexusblock

Investigation of anesthesia for shoulder arthroscopy in beach chair position in outpatient surgery. Comparison of general anesthesia alone with combination of general anesthesia with interscalene plexus block. 83 patients were included, 41 patients in the general anesthesia group, 42 patients in the group with the combination of general anesthesia with interscalene plexus block. All were classified as ASA I-II. We considered hemodynamic parameters and the occurrence of severe hypotension or bradycardia (Bezold-Jarisch-Reflex), process times and postoperative complications like pain and postoperative nausea and vomiting. In addition we analyzed the satisfaction of the patients with a questionnaire. We could show a positive effect on postoperative pain in the group of patients with the combination anesthesia, without a higher incidence of severe hypotension or the occurrence of the Bezold-Jarisch-Reflex. Also process times can be improved if logistical arrangements like an additional anesthesiologist and an additional room to perform the plexus block are available. In conclusion the combination of general anesthesia with an interscalene plexus block can be safely performed in outpatient ASA I and ASA II patients, with a positive effect on postoperative pain and a high patient acceptance.
DESIGNING A QUESTIONNAIRE TO EVALUATE DIABETIC PATIENTS’ KNOWLEDGE OF RAMADAN FASTING AND ITS DETERMINANT FACTORS

Background: Fasting in diabetic patients is accompanied by various changes in metabolism, lifestyle and medication. Evaluation of diabetic patients’ knowledge in the field of fasting conditions, the fasting-induced changes, complications, and ways to deal with them, is the first step towards efficient and effective diabetes self-management training in Ramadan fasting. The purpose of this study was to design a valid and reliable questionnaire on fasting knowledge of diabetic patients and evaluate the knowledge and determinant factors in diabetic patients. Methods: In this study a questionnaire on diabetic patient’s awareness was designed in 5 sections: 1-fasting conditions in patients with diabetes (fasting status of diabetic patients), 2- drug use, 3-controlling of blood glucose, 4- physical activity and 5- diabetic diet in Ramadan. Validity and reliability (Cronbach's alpha coefficient=0.79) of the questionnaire was confirmed. In a cross-sectional study, the fasting knowledge of 200 diabetic patients of Diabetes and Metabolic disorders clinic were examined, before Ramadan 2012. The association between the knowledge and patients’ age, sex, weight, diabetes duration, educational levels, Ramadan fasting group education, fasting blood sugar, HbA1c and type of diabetes were evaluated. Results: The mean of total correct answers were 46% with the highest scores in dietary information (62.5%) and lowest in physical activity (18%) and drug use (23%). Significant positive association was found between total and each part scores with patients’ educational level. Also group of participating in the Ramadan fasting education study and group of non- participating, showed significant difference in response to questions. Conclusion: Findings of this study revealed (indicated) poor fasting knowledge in diabetic patients. Educational programs before Ramadan can increase awareness and could improve self-management of diabetic patients during Ramadan fasting and decrease complications.
Work-related asthma : report on a refresher course hosted at the University of the Free State : allergies in the workplace

The Department of Community Health at the University of the Free State (UFS) hosted a refresher course on ‘Work-related asthma’ during February 2008. The refresher course was aimed at occupational medical and nursing practitioners, general practitioners, lung function technologists and other stakeholders. The purpose of the course was to raise awareness among health and allied professionals as to the various phenotypes related to work-related asthma, namely occupational asthma (allergic asthma and irritant-induced asthma subtypes) and work-aggravated asthma so as to improve their identification, diagnosis and management. Work-related factors can be responsible for up to one-third of adult-onset asthma cases. Prof Mohamed Jeebhay Prof David Rees