Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating a dynamic model of a gas turbine in the MVEM framework using an Ellipse compressor model

The legislations on greenhouse gas emissions are getting tougher and tougher every year. This drives the demand for energy efficient gas turbines with as low emissions as possible. This poses the challenge to manufacturers of constructing gas turbines with lessened environmental impact, but with maintained performance. To obtain this, there is a need of optimization of current principles along with completely new ideas and solutions. One part of developing new, improved gas turbine configurations is to create prototypes and test them. However, creating and testing a gas turbine is a both expensive and time consuming. They are large in every sense of the word: they are long, heavy, demand lots of fuel, create massive air flows and generate a lot of energy. Designing, building and testing new turbine configurations are therefore risky, as it requires investing lots of time and money. This means that it is highly profitable to have accurate, dependable simulation models. This thesis uses Matlab Simulink to create a dynamic model of a single axis gas turbine with nine stage compressor and a single stage turbine. The modeling of the compressor composes a large part of the work in the thesis, where the Ellipse compressor model is introduced and implemented on a gas turbine compressor. The Ellipse model creates a parametric model of each of the nine compressor stages by the use of elliptic equations. The goal is to provide an alternative to the look-up table model of compressors, which are common to find in modeling papers today. In the design of the compressor, a single stage map is scaled nine different ways to mimic the design of a real life nine stage compressor. The stage scaling principle is based on a linear model that correlates stage size with maximum available pressure ratio at optimal speed. The constructed compressor model is put in a simulated test bench and a compressor map is created. The map is found to in most aspects resemble a general compressor map. Furthermore, the thesis contains a run-through of the sub-models of the rest of the turbine, namely combustion chamber and fuel injection, compressor turbine and torque dynamics. For each sub-model, the most important equations and inspirations for these are presented. Finally, a description of the simulation scenarios and the simulation software, Matlab Simulink, is provided. The model is tested in steady-sate operation around its optimal operating point, as well as during a transient in a benign operating zone, in terms of efficiency. The results of these simulations are analyzed and a flaw in the control strategy is pinpointed. An alternate control strategy is proposed, described and implemented. A comparison is made between the original and alternative control strategies, and it is concluded that the new controller manages to mitigate the problems identified in the original simulations.
Effect of Spirituality and Loneliness to Former Drug Addicts Hardiness with Social Support as a Moderator

In many studies indicate that hardiness is a personality that is resistant to a wide range of obstacles and this personality is needed so people can get out of the bondage of drugs. By having the personality of hardiness, the individual has a high morale and motivation, to see problems not as an obstacle but as a challenge. This study attempts to examine the factors that can lead to high or low hardiness former drug users. In this study tries to see the effect of loneliness and spirituality to the hardiness of former addicts with social support as a moderator. The research sample using 112 former drug addicts undergoing rehabilitation program. The analysis technique will be used to test the structural relationships between these four variables by using SEM analysis techniques. The results showed social support role as mediator variables on the influence of spirituality and loneliness to variable hardiness declared fit by chi-square value of 3.83 (p> 0.05). The variables of social support has a regression coefficient of 0.36 (t> 1.96) for the effect on hardiness. The influence of social support significantly to hardiness. Then the spiritual variables significantly influence social support with regression coefficient of 0.48 (t> 1.96). Spiritual variables also significantly affect the hardiness variable with regression coefficient of 0.33 (t> 1.96). But loneliness is not obtained variables significantly affect social support variables.
Facial hair barbering in rats.

: Facial alopecia was observed in three of four adult, female, Fischer 344 rats sharing the same cage for 2 months. Alopecia was characterized by irregular areas of hair loss between the eyes, which occasionally extended below the eyes and between the ears. These areas were nonpruritic and were not associated with dermatophytes, pathogenic skin bacteria, or ectoparasites. When the unaffected rat was removed and allowed to cohabit with new cagemates, facial alopecia became apparent in those animals within 6 days, and the hair of the original cagemates grew back within 3 weeks. The alopecia was caused by hair barbering by a dominant female rat.
Spin excitations and quantum criticality in the quasi-one-dimensional Ising-like ferromagnet CoCl2·2D2O in a transverse field

We present experimental evidence for a quantum phase transition in the easy-axis S = 3/2 anisotropic quasi-one-dimensional ferromagnet CoCl2 center dot 2D(2)O in a transverse field. Elastic neutron scattering shows that the magnetic order parameter vanishes at a transverse critical field mu H-0(c) = 16.05(4) T, while inelastic neutron scattering shows that the gap in the magnetic excitation spectrum vanishes at the same field value, and reopens forH > H-c. The field dependence of the order parameter and the gap are well described by critical exponents beta = 0.45 +/- 0.09 and z.nu close to 1/2, implying that the quantum phase transition in CoCl2 center dot 2D(2)O differs significantly from the textbook version of a S = 1/2 Ising chain in a transverse field. We attribute the difference to weak but finite three-dimensionality of the magnetic interactions.
Effects of exposure to carbon dioxide and bioeffluents on perceived air quality, self‐assessed acute health symptoms, and cognitive performance

The purpose of this study was to examine the effects on humans of exposure to carbon dioxide (CO2 ) and bioeffluents. In three of the five exposures, the outdoor air supply rate was high enough to remove bioeffluents, resulting in a CO2 level of 500 ppm. Chemically pure CO2 was added to this reference condition to create exposure conditions with CO2 at 1000 or 3000 ppm. In two further conditions, the outdoor air supply rate was restricted so that the bioeffluent CO2 reached 1000 or 3000 ppm. The same 25 subjects were exposed for 255 min to each condition. Subjective ratings, physiological responses, and cognitive performance were measured. No statistically significant effects on perceived air quality, acute health symptoms, or cognitive performance were seen during exposures when CO2 was added. Exposures to bioeffluents with CO2 at 3000 ppm reduced perceived air quality; increased the intensity of reported headache, fatigue, sleepiness, and difficulty in thinking clearly; and reduced speed of addition, the response time in a redirection task, and the number of correct links made in the cue-utilization test. This suggests that moderate concentrations of bioeffluents, but not pure CO2 , will result in deleterious effects on occupants during typical indoor exposures.
REALITIES IN THE FIELD OF PHOTOVOLTAIC RURAL ELECTRIFICATION PROJECTS

By the indirect means of a brief picture report on a Solar Home Systems project, this paper describes technical quality deficiencies having significant presence on the current Photovoltaic Rural Electrification Reality. They do not derive from the “solar” nature of the technology, but from the “decentralised” character of this particular PV application. Furthermore, international efforts to establish standardisation and certification procedures, like the ones already existing for PV modules, are also summarised. “In my opinion”, said Don Quixote, “there is not manner of history in the world, where you should not find variety of fortune, much less any history of knighterrantry, where a man cannot always be sure of good success” Quixote II, chap.23
Replicating A Gang of Bandits

Recommendation systems are vital in maximizing user enjoyment. There exists an abundance of content for users to choose from on the many entertainment and service platforms available. Some platforms don’t have access to preexisting information about what users would like. A next question might be how good can a recommendation be when we start with next to no information on our users as opposed to services used by companies such as Amazon or Netﬂix which have large swaths of data about every user. We can formalize this question about recommendation systems to be a multi-armed ban-dit problem. Recent research has sought to improve multi-armed bandits through better utilization of available information. A Gang of Bandits (Cesa-Bianchi et al., 2013) presents a novel algorithm that uses social network information and contextual information to more quickly learn users preferences and optimize cumulative payoﬀ. This paper explores the process of replicating the experiments and results from A Gang of Bandits in order to validate the ﬁndings of the paper.
Shared Bicycles in a City: a Signal Processing and Data Analysis Perspective

Community shared bicycle systems, such as the Velo'v program launched in Lyon in May 2005, are public transportation programs that can be studied as a complex system composed of interconnected stations that exchange bicycles. They generate digital footprints that reveal the activity in the city over time and space, making possible a quantitative analysis of movements using bicycles in the city. A careful study relying on nonstationary statistical modeling and data mining allows us to first model the time evolution of the dynamics of movements with Velo'v, that is mostly cyclostationary over the week with nonstationary evolutions over larger time-scales, and second to disentangle the spatial patterns to understand and visualize the flows of Velo'v bicycles in the city. This study gives insights on the social behaviors of the users of this intermodal transportation system, the objective being to help in designing and planning policy in urban transportation.
A Novel Approach for Sharing the Healthcare Records of Data Privacy in Cloud Computing

: The far reaching acknowledgment of cloud based administrations in the medicinal services division has brought about practical and helpful trade of Personal Health Records among a few taking an interest substances of the e-Health frameworks. By the by, putting away the secret wellbeing data to cloud servers is powerless to disclosure or burglary and requires the improvement of systems that guarantee the protection of the Personal Health Records (PHR). In this manner, we propose a strategy called Personal Health Records for secure sharing of the PHRs in the cloud. The PHR plot guarantees tolerant driven control on the PHRs and jam the privacy of the PHRs. The patients store the scrambled PHRs on the un-confided in cloud servers and specifically award access to various sorts of clients on various parts of the PHRs. A semi-believed intermediary called Setup and Re-encryption Server (SRS) is acquainted with set up the general population/private key sets and to deliver the re-encryption keys. Also, the approach is secure against insider dangers. Moreover, we officially break down and check the working of PHR technique through the High Level Petri Nets (HLPN).
Deducing Isoform Abundance from Exon Junction Microarray

Alternative splicing (AS) is an important mechanism of producing transcriptome diversity and microarray techniques are being used increasingly to monitor the splice variants. There exist three types of microarrays interrogating AS events-junction, exon, and tiling arrays. Junction probes have the advantage of monitoring the splice site directly. Johnson et al., performed a genome-wide survey of human alternative pre-mRNA splicing with exon junction microarrays (Science 302:2141-2144, 2003), which monitored splicing at every known exon-exon junctions for more than 10,000 multi-exon human genes in 52 tissues and cell lines. Here, we describe an algorithm to deduce the relative concentration of isoforms from the junction array data. Non-negative Matrix Factorization (NMF) is applied to obtain the transcript structure inferred from the expression data. Then we choose the transcript models consistent with the ECgene model of alternative splicing which is based on mRNA and EST alignment. The probe-transcript matrix is constructed using the NMF-consistent ECgene transcripts, and the isoform abundance is deduced from the non-negative least squares (NNLS) fitting of experimental data. Our method can be easily extended to other types of microarrays with exon or junction probes.
Calcium Ions in Nerve Cell Function

From the combination of knowledge and actions, someone can improve their skill and ability. It will lead them to live and work much better. This is why, the students, workers, or even employers should have reading habit for books. Any book will give certain knowledge to take all benefits. This is what this calcium ions in nerve cell function tells you. It will add more knowledge of you to life and work better. Try it and prove it.
Semantic relations in binominal lexemes: A cross-linguistic survey

A key feature of binominal lexemes is the unstated (or underspecified) relation, R, that pertains between the two major constituents. Understanding the nature of R – the kinds of relations and their frequency – has the potential to provide insights into the nature of concept combination and the associative character of human thought. In this chapter I approach the question from a cross-linguistic, onomasiological perspective. I develop a two-tier classification called the Hatcher-Bourque system based on work by earlier researchers. The classification operates at two levels of granularity, with 29 and five relations respectively. The classification is applied to a data set consisting of over 3,700 binominal lexemes from 106 languages. This permits a statistical analysis of the frequency and distribution of semantic relations at both an highly abstract level and a more granular level. The Hatcher-Bourque classification, and an accompanying tool called the Bourquifier, are offered to the research community in order to encourage more collaboration than has hitherto been the case in the field of semantic relations.
Potential Threat Analysis Hypertext Transfer Protocol and Secure Hypertext Transfer Protocol of Public WiFi Users (Batam Case)

Computer network security has became an international issue in the last decade. We can not deny the ability of a network administrator is increasingly needed to secure the system. One of the important skills that must be possessed is able to read the data packets in computer network traffic. Protocol analysis needed to monitor and analyze information from any data packets that are sent or received on the network. From the user side, are required to have knowledge of information security, especially if accessing via free public wifi. The purpose of this study is to provide and analizethe captured HTTP and HTTPS packets using a network packet analyzer tool. The Object of this research is user of public wifi in the city of Batam, Indonesia. The study resulted a comprehensive analysis of data packets, we obtained user behavior when accessing information via public wifi. Despite many sites have been using secure protocols such as HTTPS but there are still using standard protocols resulting information open to hackers.
NASOPHARYNGEAL NON HODGKIN LYMPHOMA WITH INTRACRANIAL EXTENSION

Non-Hodgkin’s lymphoma (NHL) is the second most common neoplasm found in the head and neck region after squamous cell carcinoma. Within this region, primary NHL of the nasopharynx is rare. We reported a 65-years-old woman patient with progressive worsening of chronic sinusitis with nasal obstruction, mucopurulent rhinorrhea, headache and neuralgia of the right hemiface. On physical examination, a bulky mass was observed in the nasopharynx. Neck computed tomography revealed a diffuse soft tissue mass with mild peripheral enhancement involving both nasopharyngeal walls. The cervical-facial MRI showed a bulky expansive lesion occupying the entire nasopharyngeal lumen, involving the both nasal hemifossa, ethmoidal cells, sphenoidal sinus, cavernous sinus, and pterygopalatine fossa, with intracranial extension. Biopsy revealed a diffuse large B cell lymphoma. Based on the data, chemotherapy with regiment CHOP (cyclophosphamide, hydroxydaunorubicin, oncovin/vincristine, and prednisone) was given. A good therapeutic outcome is dependent on early diagnosis and a multidisciplinary approach.
ATTRIBUTES OF FRUITS AND STRATEGIES OF DISPERSION IN A COMMUNITY OF “BREJO DE ALTITUDE”

Diaspores are the dispersal units of plants, which might be fruits, seeds or infrutescences (Pijl 1982). The morphology and attributes of the diaspores are related to ecological factors and their influence on processes such as dispersal and strategies of establishment of plants constituting important tools in the study of community ecology. The process of fruit and seed dispersal represents the connection between the last plant reproductive phases with the first phase of recruitment of the population. Without seed dispersal, the offspring is usually doomed to extinction and the regeneration in new locations is not possible. Thus, the study of the ecology of diaspores involves from the relationship of their morphology and possible form of dispersion to how this relationship affects the demographic and genetic structure of populations and becomes able to maintain local populations (Howe 1990). In addition, plants are the primary food source for frugivorous and changes in these interactions may have serious implications for biodiversity conservation.
Some issues associated with the commercial implementation of weed management recommendations

Synopsis The Institute for Commercial Forestry Research (ICFR) is owned by the South African forestry industry and undertakes research on applied aspects of commercial timber growing. The type of research conducted depends, to a large extent, on a combination of our areas of expertise and the needs as determined by our sponsors. By way of a case study (one single trial) in the field of weed management research, an attempt is made to show the processes of research and development and how these lead to knowledge that is transferred to the end user. From this single trial with clear objectives, a number of tentative recommendations were made based upon early results. The commercial implementation of these results was only partially successful, with questions being raised that could only be addressed through additional trial work. Even though subsequent research efforts can be considered a success from a research perspective, in that they provided solutions to the questions asked, few have been applied commercially. This raises concerns, especially as to what the issues are that prevent the implementation of weed management recommendations. Some of the issues discussed include: researcher competence, whether the industry knows what it wants, robustness of research findings, how technology is transferred, complexity of weed growth information, institutionalisation of systems and economic and political constraints. By way of discussing the mixed successes in technology transfer, a hypothesis is developed as to where the barriers to effective technology transfer are and how these can be overcome. We believe that the most effective way of overcoming this is through the establishment and strengthening of the research-consumer interface. This needs to be included as a research activity, and to be enabled and resourced by end-users.
Adaptive Neuro-fuzzy Inference System based Earth Surface Features Classification System

This paper aimed at developing a model that will aid the process of identifying and extracting earth surface features from satellite images using adaptive neuro-fuzzy inference system. Conventional methods of classifying earth features (Normalized Difference Vegetation Index, NDVI, and Normalized Difference Water Index, NDWI) were first used to generate the data for the training of the ANFIS model using the three bands in Landsat 8 (band 2: Blue, band 4: Red and band 5: NIR). The performance of the developed ANFIS model was validated using four different satellite images and the results compared with the conventional classification methods. An accuracy level of 98.66 – 99.88 % with a RMSE of 0.0218 – 0.0506 were obtained. General Terms Satellite images, image identification and classification, earth surface features.
Electron–phonon interaction and transport properties of metallic bulk and monolayer transition metal dichalcogenide TaS2

Transition metal dichalcogenides have recently emerged as promising two-dimensional materials with intriguing electronic properties. Existing calculations of intrinsic phonon-limited electronic transport so far have concentrated on the semicondcucting members of this family. In this paper we extend these studies by investigating the influence of electron–phonon coupling on the electronic transport properties and band renormalization of prototype inherent metallic bulk and monolayer TaS2. Based on density functional perturbation theory and semi-classical Boltzmann transport calculations, promising room temperature mobilities and sheet conductances are found, which can compete with other established 2D materials, leaving TaS2 as promising material candidate for transparent conductors or as atomically thin interconnects. Throughout the paper, the electronic and transport properties of TaS2 are compared to those of its isoelectronic counterpart TaSe2 and additional informations to the latter are given. We furthermore comment on the conventional superconductivity in TaS2, where no phonon-mediated enhancement of TC in the monolayer compared to the bulk state was found.
Zoonotic transfer of pathogens from animals to farm products

Abstract: Food animals contain a microbial population that lives on and within them, but this commensal microbial population can be penetrated by foodborne pathogenic bacteria that live asymptomatically in the animal. The presence of these pathogens in the live animal can contaminate water supplies and nearby crops, as well as be directly transmitted to humans via animal contact. Transmission to humans can be reduced via implementation of manure handling and spreading processes. Further pathogen reduction interventions can be grouped into antipathogen, pro-competition and management strategies. The rationale and effectiveness of these methods are discussed.