Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization & Energy Management of a Microgrid Based on Frequency Communications by A .

In recent years, a transition towards a more sustainable future has started and it is imperative that this trend continues. An increasing energy demand from the continuously growing population, together with the increment of greenhouse gasses (GHG) emissions and the depletion of fossil fuels have motivated the penetration of renewable energy systems (RESs) in different areas and scales. As a consequence, the energy sector is facing a transition from a centralized network, composed of large and controllable power plants, to a decentralized grid based on RESs. Within this framework, microgrids (MGs) provide a key solution to integrate RESs, controllable energy resources, flexible loads and storage systems either in a grid-connected or an islanded mode. Optimal energy management is crucial to develop strategies to improve the efficiency and reliability of MGs, as well as new communication networks to support optimal and reliable operation. This study proposes an energy management system (EMS) whose main objective is to optimally operate a microgrid (MG) using frequency as the only communication signal. The developed model considers renewable energy sources (RESs) such as photovoltaic (PV) panels and wind turbines, a micro-generator, a battery energy storage system (BESS) and both critical and controllable loads. In a conventional grid with a control system based on frequency communications, each element of the grid has a droop curve and the frequency reflects the generation load balance as a result of a compromise between each other. However, in the inertia-less grid proposed in this thesis the EMS controls the BESS and solves the optimization problem, which determines the optimal frequency of the system. The rest of the system components react according to the optimal frequency by following their specific frequencypower response curves. In this way, an optimal planning and operation of the MG is sought in order to minimize operational costs and consequently increase the use of RESs, reduce GHG emissions, perform a smart charge of the BESS and optimally operate the diesel generator. A demand-side management (DSM) mechanism is introduced in order to manage controllable loads via load-shedding to match availability of RESs. To further adjust generation to load demand, RESs curtailment or supply-side management (SSM) is implemented through the application of a version of an available standard that ensures grid security when connecting RES generators to the grid. The performance of the proposed EMS will be validated through simulation results for different scenarios using real numerical data from an existing microgrid, comparing the results against the traditional control system.
Improving the predictability of global CO2 assimilation rates under climate change

Feedbacks between the terrestrial carbon cycle and the atmosphere have the potential to greatly modify expected rates of future climate change. This makes it all the more urgent to exploit all existing data for the purpose of accurate modelling of the underlying processes. Here we use a Bayesian random sampling method to constrain parameters of the Farquhar model of leaf photosynthesis and a model of leaf respiration against a comprehensive set of plant trait data at the leaf level. The resulting probability density function (PDF) of model parameters is contrasted with a PDF derived using a conventional “expert knowledge” approach. When running the Biosphere Energy Transfer Hydrology (BETHY) scheme with a 1000‐ member sub‐sample of each of the two PDFs for present climate and a climate scenario, we find that the use of plant trait data is able to reduce the uncertainty range of simulated net leaf assimilation (NLA) by more than a factor of two. Most of the remaining variability is caused by only four parameters, associated with the acclimation of photosynthesis to plant growth temperature and to how leaf stomata react to atmospheric CO2 concentration. We suggest that this method should be used extensively to parameterize Earth system models, given that data bases on plant traits are increasingly being made available to the modelling community.
The Impact of Sloshing Liquids on Ship Stability for Various Dimensions of Partly Filled Tanks

Liquid sloshing phenomenon taking place in partly filled ships’ tanks directly affects the stability of a vessel. However, only static calculations are carried out onboard ships nowadays and static transfer of liquid weight is taken into account in the course of routine stability calculation. The paper is focused on a dynamic heeling moment due to liquid sloshing in tanks onboard ships. A number of numerical simulations of liquid sloshing taking place in a moving tank is carried out. The wide range of ship’s tanks is taken into account. The conducted CFD simulations are experimentally verified. Finally, the method of an assessment of the liquid sloshing impact on ship transverse stability is worked out. The key point of the method is a dynamic coefficient describing relation of the researched dynamic heeling moment and the quasi-static one in terms of dynamic stability of a vessel which is related to the weather criterion of ship stability assessment.
Smart equipment design challenges for feedback support in sport and rehabilitation

Smart equipment can support feedback in sports training, rehabilitation, and motor learning process. Smart equipment with integrated sensors can be used as a standalone system or complemented with body-attached wearable sensors. The first part of our work focuses on realtime biofeedback system design, particularly on application specific sensor selection. The main goal of our research is to prepare the technical conditions to prove the efficiency and benefits of the real-time biofeedback when used in selected motion-learning processes. The tests performed on two prototypes, smart golf club and smart ski, proves the appropriate sensor selection and the feasibility of implementation of the real-time biofeedback concept in golf and skiing practice. We are confident that the concept can be expanded for use in other sports and rehabilitation. Index Terms — smart equipment, motor learning, sport, rehabilitation, biomechanical biofeedback
Especificação e detecção de padrões complexos de variáveis ambientais em aplicações de biodiversidade

Aplicacoes de biodiversidade se caracterizam por necessitar de uma grande variedade de dados ambientais em multiplas escalas. Este contexto envolve uma enorme quantidade de dados gerados por fontes heterogeneas, sendo o fluxo de dados de sensores uma das principais fontes. Um problema em aberto neste contexto e como especificar e detectar cenarios de interesse a partir de variaveis ambientais em multiplas escalas, para facilitar aos cientistas a analise de fenomenos e correlacoes com dados coletados em campo. Para ajudar a solucionar o problema, a dissertacao se baseia na teoria de Processamento de Eventos Complexos para permitir a especificacao de cenarios atraves de padroes e a deteccao da ocorrencia do cenario em tempo real. Nesta literatura, dados sao tratados como eventos e padroes sao descritos pelas especificacoes de eventos e seus relacionamentos. Linguagens de eventos, no entanto, nao consideram aspectos espaciais (necessarios em biodiversidade) e a composicao de eventos e limitada. Tendo em vista esse contexto, a dissertacao propoe uma linguagem baseada em logica para que cientistas especifiquem cenarios de interesse. Esses cenarios sao baseados em composicao de eventos complexos. As principais contribuicoes da dissertacao sao: proposta da arquitetura de um framework para deteccao de eventos complexos, que estende o trabalho de Koga 2013; um modelo de dados para representar eventos em biodiversidade; e uma linguagem para descrever padroes de forma hierarquica, explorando o relacionamento espacial e temporal entre os eventos em diferentes niveis de abstracao. Abstract
Web Search Disambiguation by Collaborative Tagging

Existing Web search engines such as Google mostly adopt a keyword-based approach, which matches the keywords in a query submitted by a user with the keywords characterising the indexed Web documents, and is quite successful in general in helping users locate useful documents. However, when the keyword submitted by the user is ambiguous, the search result usually consists of documents related to various meanings of the keyword, in which probably only one of them is interesting to the user. In this paper we attempt to provide a solution to this problem by using the semantics extracted from collaborative tagging in the social bookmarking site del.icio. us. For an ambiguous word, we extract sets of tags which are related to it in different contexts by performing a community-discovery algorithm on folksonomy networks. The sets of tags are then used to disambiguate search results returned by del.icio. us and Google. Experimental results show that our method is able to disambiguate the documents returned by the two systems with high precision.
Symptomatic Septal Deviation: Its Nasal Endoscopy and Computed Tomography-aided Correlation with Chronic Rhinosinusitis

Aim: To evaluate the nasal septal deviation by measuring the angle of deviation and study its relation with sinus diseases and lateral nasal wall anomalies, by diagnostic endoscopy (DNE) and computed tomography (CT), in patients with chronic rhinosinusitis (CRS). Materials and methods: A prospective study was carried out on 90 patients with nasal complaints and deviated septum, attending the Department of Otorhinolaryngology, from January 2015 to August 2016. Patients diagnosed to have CRS clinically were subjected to DNE and CT scans. The maximum angle of septal deviation was calculated in coronal cuts. The side and sites of rhinosinusitis and lateral wall anatomical variants were identified. Results: The prevalence of CRS was 73%, with males more affected than females (1.8:1). Left-sided and C-shaped deviated nasal septum (DNS) was most common. About 52% patients suffering from CRS had septal angle of deviation between 7° and 12°, 46% had more than 12°. Maxillary sinus was the most commonly involved sinus. Concha bullosa (32%) was the most common variant noted. Occurrence of medialized uncinate process was found to be increasing on the ipsilateral side of deviated septum with increasing angle of deviation. Conclusion: In patients with chronic sinusitis, most of the angles were deviated between 7° and 12°. The mean deviation was 12.92°. Majority of patients with chronic rhinosinusitis had a concurrent variation along with DNS. No correlation was found between the side of DNS and side of maxillary sinusitis. No corelation was noted between the anatomical variants of lateral nasal wall with increasing angle of deviation. Clinical significance: Our study emphasizes the multifactorial etiology behind CRS with plausible role of genetic factors, environmental influence, allergic factors, hormonal influence, etc., in its causation.
Forage utilization cost differentials in a ranch operation: a case study.

The total cost (fee and non-fee) of grazing BLM, FS, and private deeded rangeland was estimated by partial budgeting procedures from records kept by the Saval Ranch, a northeastern Nevada cow-calf operation. Private rangeland was estimated to be the most expensive forage source at 824.99 per AUM. The total cost of grazing BLM land was estimated to be 88.07 per AUM and FS was estimated to cost 89.08 per AUM. The use of America’s federally administered rangelands has been associated with controversy for more then a century. One of the issues that has a long history involves the fees charged operators whose livestock are permitted to graze these lands. Numerous authors have discussed this issue (e.g., Nielsen and Workman 1971, Bergland and Andrus 1977, Roberts 1963, Roberts 1967, Nielsen 1982, Foss 1959, Dutton 1953, Gardner 1962, Kearl 1966, Kelso 1947) but much confusion concerning this issue continues today as evidenced by tne studies currently being conducted by the Forest Service and Bureau of Land Management as required by the Public Rangeland Improvement Act (PRIA) of 1978. In fact, few issues associated with the use of federally administered lands has received as much attention in the literature. At the heart of this controversy is the general misunderstanding concerning grazing fees and the total costs of grazing public as well a privately owned lands.
Peers and Parental Attachment and Emotional Intelligence among Delinquents in Rehabilitation Centers in Malaysia

This study examined the effects of parents and peers attachment on emotional intelligence among Malaysian delinquents in government rehabilitation institutions. There were 203 delinquents aged between 11 to 19 years old were randomly selected from six different rehabilitation centres in Wilayah Persekutuan Kuala Lumpur (WPKL), Selangor and Malacca. Respondent’s emotional intelligence was measured using the Assessing Emotional Scale instrument (AES; Schutte, Malouff, Hall, Haggerty, Cooper, Golden, & Dornheim, 1998), while attachment was assessed using the revised version of Instrument of Parent and Peer Attachment (IPPA; Armsden & Greenberg, 1989). Results revealed that mother, father and peer attachment were significantly correlated to emotional intelligence of delinquents in the rehabilitation centres. T-test analysis also indicated that there were no significant differences for mother attachment, peer attachment and emotional intelligence across gender. However, only father attachment was found to be significantly different between male and female delinquents.
Hypothyroidism: Another Risk Factor for the Development of Diabetes in an Already Vulnerable Asian Indian Population?

Recently, Gronich et al. published a wonderful study postulating several molecular mechanisms that may explain the complex interplay between hypothyroidism, subclinical hypothyroidism, and statin use vis-a-vis the development of diabetes mellitus (DM), and elucidated this in clinical practice. Hypothyroidism was found to carry an increased risk for developing new-onset DM in both the statin (RR 2.06 [95% CI 1.42–2.99]) and the non-statin (RR 1.66 [95% CI 1.05– 2.64]) cohort. On the other hand, subclinical hypothyroidism seemed to only factor in the development of DM in patients on a statin (RR 1.94 [95% CI 1.13–3.34]), as opposed to those not on a statin (RR 1.20 [95% CI 0.52–2.75]). Although over 90% of the participants in this study were of Jewish ethnicity, a multivariate analysis calculated Arab ethnicity as having a RR of 1.50 (95% CI 1.40–1.62) for developing DM associated with statin use and thyroid disease [1].
教育実践ノート The linguistic development of a Japanese-English bilingual at age two: a case study

This paper presents preliminary observations on the linguistic development of a JapaneseEnglish bilingual at age two. Topics include grammar and vocabulary development, codemixing and language differentiation, and attitudes towards a non-dominant language. From these early observations it has been concluded that a child growing up in a mostly monolingual environment is likely to be dominant in the language of the community, but is also able to distinguish between two languages even at this early stage in her linguistic development.
Depression and TMD in the elderly: A pilot study

Temporomandibular dysfunction (TMD) is a painful syndrome that affects orofacial region, with deleterious effects in patients’ quality of life. Several aspects of TMD in the elderly are still controversial in the literature. The aim of this paper is to verify the prevalence of TMD among the elderly people in Taubaté – Brazil, and its possible association with other co-morbidities. Sixty-eight elderly individuals, presenting an average age of 69.5 years (SD 8.5), participated in this study, 37 of which were women. The Research Diagnostic Criteria for Temporomandibular Dysfunction (RDC/TMD) was used to verify TMD and its possible association with other co-morbidities. The studied sample presented a low items excluded – did not correlate with patients’ gender. Associations were found among depression and characteristic symptoms – pain items excluded (p=0.001) and chronic pain grade (p=0.004), whereas the more depressed the patients, the higher were their pain scores. One can conclude that psychological factors, such as depression, were associated with TMD prevalence, thus reinforcing the need for a multidisciplinary approach for TMD treatment.
Human and algorithm facial recognition performance : face in a crowd

Developing a method of identifying persons of interest (POIs) in uncontrolled environments, accurately and rapidly, is paramount in the 21st century. One such technique to do this is by using automated facial recognition systems (FRS). To date, FRS have mainly been tested in laboratory conditions (controlled) however there is little publically available research to indicate the performance levels, and therefore the feasibility of using FRS in public, uncontrolled environments, known as face-in-a-crowd (FIAC). This research project was hence directed at determining the feasibility of FIAC technology in uncontrolled, operational environments with the aim of being able to identify POIs. This was done by processing imagery obtained from a range of environments and camera technologies through one of the latest FR algorithms to evaluate the current level of FIAC performance. The hypothesis was that FR performance with higher resolution imagery would produce better FR results and that FIAC will be feasible in an operational environment when certain variables are controlled, such as camera type (resolution), lighting and number of people in the field of view. Key findings from this research revealed that although facial recognition algorithms for FIAC applications have shown improvement over the past decade, the feasibility of its deployment into uncontrolled environments remains unclear. The results support previous literature regarding the quality of the imagery being processed largely affecting the FRS performance, as imagery produced from high resolution cameras produced better performance results than imagery produced from CCTV cameras. The results suggest the current FR technology can potentially be viable in a FIAC scenario, if the operational environment can be modified to become better suited for optimal image acquisition. However, in areas where the environmental constraints were less controlled, the performance levels are seen to decrease significantly. The essential conclusion is that the data be processed with new versions of the algorithms that can track subjects through the environment, which is expected to vastly increase the performance, as well as potentially run an additional trial in alternate locations to gain a greater understanding of the feasibility of FIAC generically.
BRNO UNIVERSITY OF TECHNOLOGY Faculty of Electrical Engineering and Communication MASTER'S THESIS

The deep brain stimulation (DBS) represents effective treatment for patients with Parkinson’s disease (PD) or patients with pharmacoresistant epilepsy. However its mechanisms by which it moderates seizures and improves movement still remain largely unknown. To understand it better and to determine in which frequency bands is the change most relevant, comparisons between DBS OFF and DBS ON were made using correlation method and phase lag index. Eleven patients with (PD) and with implanted neurostimulators for DBS from the companies Medtronic and St.Jude Medical are the subjects of the recorded data used in this thesis. The results prove that not only does the change in connectivity occur during the DBS, but also that the higher frequencies such as beta, low gamma and high gamma are affected the most. Changes in these frequencies, responsible for motor activity, attentive focusing and information processing, are consistent with the PD clinical findings. During this disease, pathological beta activity is hypersynchronized and gamma activity is reduced in motor areas. With gamma activity increasing during DBS ON, the physiological state of the patients is partially restoring and therefore improving their motility. The methods and results of this thesis will be used for further research on patients with PD and epilepsy.
Non-pharmacological treatment in the prevention of the cardiovascular diseases according to the new European Society of Cariology guidelines

Despite significant progress in diagnosis and treatment of the cardiovascular diseases, they remain to be main cause of premature deaths. By optimizing risk factors control and lifestyle modification, including changing eating habits, about 80% of cardiovascular incidents can be prevented. The base purpose of the preventive diet is adequate fatty acids intake. Moreover, impor tant component of comprehensive change of lifestyle is regular physical activity, which is integral par t of the prevention and treatment of cardiovascular diseases risk factors such as Katarzyna Pastusiak1, Marta Walczak-Gałęzewska2, Danuta Pupek-Musialik2, Paweł Bogdański3 1Studenckie Koło Naukowe Dietetyki Klinicznej, Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu 2Klinika Chorób Wewnętrznych, Zaburzeń Metabolicznych i Nadciśnienia Tętniczego, Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu 3Zakład Edukacji i Leczenia Otyłości oraz Zaburzeń Metabolicznych, Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu Copyright © 2017 Via Medica ISSN 2081–2450 Adres do korespondencji: Katarzyna Pastusiak Studenckie Koło Naukowe Dietetyki Klinicznej UM im. K. Marcinkowskiego ul. Szamarzewskiego 84, 60−569 Poznań tel. : 661 390 488 e-mail: ka.pastusiak@gmail.com
Techniques de Pointage à Distance : Cibles Numériques et Cibles Physique

Au sein d'un environnement ubiquitaire, l'ordinateur devient evanescent : nos objets quotidiens sont augmentes d'electronique, les environnements deviennent perceptifs deconfinant l'interaction homme-machine de l'ancien ordinateur "boite grise" a des espaces pervasifs. Desormais, l'utilisateur evolue dans un monde physico-numerique ou espace interactif mixte. Au sein de cet espace interactif, un besoin est alors d'interagir a distance que ce soit pour manipuler des objets numeriques sur un ecran distant ou des objets physiques. Cet article est dedie aux techniques de pointage a distance pour designer un objet numerique ou physique. Nous decrivons six techniques de pointage pour interagir dans un environnement ubiquitaire, la premiere pour pointer a distance sur des cibles numeriques, les cinq autres pour pointer sur des objets physiques avec et sans un dispositif mobile.
Framework for Ranking of Web Forum Users

Web is used as a tool for presenting ideas, information and knowledge. Various users are a part of this web, if they be simple uses, influential users or non-influential users. There are a number of users on the web but a few users amongst these incorporate a relationship of faith and trust with the other users on the web. These users have a unique way in their activities and the quality of their comments and in this way they attract the other users on the web. Due to this uniqueness these users receive a special and significant attention amongst the many other users on the web. Such users play a dominating role in the community. Best example of this is a Blog, where an influential user leads and the others follow. By identifying such influential users we can measure the impact they have on the other users, the community, the neighbourhood as a whole. This paper presents a survey of various tools, algorithms, methods used and the different techniques applied to identify and rank the web forum users. Basically, Page Rank algorithm is used which gives a better and quick result followed by other techniques like User Rank and greedy algorithms. Keywords- web mining, influential users, blogs, PageRank