Miracle-dz/UniFAR-FTUs huggingface dataset:
Napovedovanje ishemije iz simuliranih podatkov

V diplomskem delu smo raziskovali možnosti uporabe metod strojnega ucenja v napovedovanju ishemicnih sokov na podlagi meritev elektrod iz simulacije EKG. Zanimala nas je klasifikacijska tocnost pri napovedovanju samih sokov, napovedovanju obmocja v srcu, kjer se je sok zgodil, ter možnost zmanjsanja stevila elektrod, potrebnih za uspesno zaznavanje sokov. Na simuliranih podatkih meritev elektrod smo preizkusili nakljucne gozdove, metodo podpornih vektorjev ter metodo gradientnega pospesevanja in merili njihovo klasifikacijsko tocnost. Nato smo z njimi iskali optimalne podmnožice atributov po metodi ovojnice. Poleg tega smo primerjali uspesnost tega pristopa z metodo filtriranja na podlagi ocen pomembnosti atributov. Odkrili smo, da izbrane metode dosegajo dobre rezultate na obeh stopnjah in da klasifikacijska tocnost ostaja visoka tudi pri mnogo manjsih podmnožicah atributov. Metoda podpornih vektorjev s pomocjo ovojnice dosega najvisjo tocnost, glede izbora atributov pa ovojnica pri zelo majhnih izborih atributov dosega boljse rezultate kot filtriranje.
Marine Reserves and Quotas as Fisheries Management Tools: When does Marine Reserve Creation Pay?

This paper explores the issue of using marine reserves in combination with quotas as fisheries management tools. The underlying biological dynamics are described by a patchy environment model, in which a metapopulation is built up by linked sub-populations that are distributed across a set of spatially discrete habitats or patches. The size of each sub-population depends on its own specific population dynamics, which is described by the logistic growth function, and dispersal from other patches. The rent generated by fishing on the total population, using optimal quotas as a management tool, is compared to the rent from the fishery when managed with quotas and a marine reserve. This is done under two different assumptions regarding the type of dispersal mechanisms between the subpopulations in the different patches: A source-sink system (unidirectional flow of individuals) and density dependent migration. The cost per unit harvest is assumed to be lower in the patches open to fishing when the fishery is managed by quotas and a reserve than in the same patches when the fishery is managed by quotas solely. It is shown that the rent maximizing management strategy will vary, depending on the characteristics of the dispersal rates linking the sub-populations and the degree of stock dependent harvesting costs.
Generating Coreferential Descriptions from a Structured Model of the Context

This paper shows on the basis of a corpus study how a model of the context should be structured for the generation of coreferring descriptions in French. We show that this way of structuring the context can help to generate more paraphrases and a particular kind of referring expressions used to add information about the referent.
Design of SNS Josephson Arrays for High Voltage Applications

The voltage from a single, microwave-biased Josephson junction is a small quantity; thus useful voltages are generated only through series arrays of many thousands of junctions. Arrays of superconductor-normal metal-superconductor junctions have been fabricated and tested with as many as 16,500 junctions per array. The arrays are optimized for the highest voltage operation with the largest operating margins for the current bias. Measurements show that these arrays, driven with 20 GHz microwaves, generate a dc voltage greater than 680 mV per array with a dc bias margin over 1 mA. To increase the microwave uniformity across the array, the transmission line impedance has been tapered. By use of this technique, ac Josephson voltages over 110 mVrms per array have been generated, also with over 1 mA dc bias margin.
Research on UWB-based location technology applied for hazardous chemicals stacking storage

Currently, domestic dangerous chemicals are always stacked in the warehouse, there is no an effective method for monitoring the five distances in the storage that are subject to the safety standards-pile spacing, wall spacing, zenith distance, column spacing and lamp spacing. The research on timely monitoring and early alarming of dangerous chemicals stacking is necessary. In this paper, the indoor Ubisense location system is established to study the static and dynamic location properties. The experiments show the UWB positioning technology is truly effective and reliable. In addition, it is really suitable for the stacking safety monitoring of dangerous chemicals storage.
Premiers pas vers une résolution du problème de satisfaisabilité pour la logique monadique du premier ordre par une reformulation en logique des connaissances subjective mono-agent

Nous nous interessons au probleme de la satisfaisabilite d'une formule en logique monadique du premier ordre. Cette logique constitue un fragment decidable de la logique du premier ordre, et il est bien connu que le probleme de satisfaisabilite associe est NEXPTIME-complet. Nous proposons une nouvelle approche pour le resoudre, qui consiste a traduire la formule monadique du premier ordre vers une extension de la logique de la connaissance S5, puis a resoudre le probleme de satisfaisabilite associe. L'interet de cette traduction est qu'elle permet de s'appuyer sur la litterature sur la compilation de connaissances pour S5, et d'ainsi tirer parti de representations compactes sur lesquelles les operations sont efficaces. L'evaluation experimentale de cette nouvelle approche etant en cours, cet article ne peut rendre compte formellement de son efficacite en pratique, mais fournit plusieurs pistes selon lesquelles son utilite potentielle est manifeste.
Big Data : Mineria de dades amb el framework Apache Spark

El tractament i la manipulacio de dades es una part inherent de la societat moderna, una disciplina que es posa en practica en molts ambits quotidians. En l'actualitat, pero, el volum i la tipologia de les dades (l'anomenat "Big Data") sol desbordar els metodes de tractament i manipulacio tradicionals. Cada cop mes frequentment resulta necessaria la utilitzacio d'eines de comput distribuit i noves tecniques per afrontar l'allau de dades que origina una societat actual al segle XXI. Aquest projecte preten estudiar la utilitzacio d'un dels frameworks de comput mes utilitzats dins l'ambit de Big Data, Apache Spark, en un cas d'us real, com pot ser l'analisi del funcionament d'una xarxa de transport en una gran ciutat; en concret, el metro de Londres.
Uma análise comparativa entre as abordagens linguística e estatística para extração automática de termos relevantes de corpora

Sabe-se que o processamento linguistico de corpora demanda grande esforco computacional devido a complexidade dos seus algoritmos, mas que, apesar disso, os resultados alcancados sao melhores que aqueles gerados pelo processamento estatistico, onde a demanda computacional e menor. Esta dissertacao descreve uma analise comparativa entre os processos linguistico e estatistico de extracao de termos. Foram realizados experimentos atraves de quatro corpora em lingua inglesa, construidos a partir de artigos cientificos, sobre os quais foram executadas extracoes de termos utilizando essas abordagens. As listas de termos resultantes foram refinadas com o uso de metricas de relevância e stop list, e em seguida comparadas com as listas de referencia dos corpora atraves da tecnica do recall. Essas listas, por sua vez, foram construidas a partir do contexto desses corpora e com ajuda de pesquisas na Internet. Os resultados mostraram que a extracao estatistica combinada com as tecnicas da stop list e as metricas de relevância pode produzir resultados superiores ao processo de extracao linguistico refinado pelas mesmas metricas. Concluiu se que a abordagem estatistica composta por essas tecnicas pode ser a opcao ideal para extracao de termos relevantes, por exigir poucos recursos computacionais e por apresentar resultados superiores aqueles encontrados no processamento linguistico.
Experimental Verification of the Effects on Normal Domestic Cats by Feeding Prescription Diet for Decreasing Stress

The objective of this study was to evaluate the effects of diet on the feline stress response by measuring plasma and urinary cortisol. A study diet was developed with a unique combination of nutrients that supports the management of stressful situations. The specific formulation of the diet included alpha-casozepine, which is believed to have an anxiolytic effect, and tryptophan supplementation. Tryptophan is the precursor for the synthesis of the neurotransmitter serotonin. Twenty-one indoor cats were fed with the study diet (n = 10) or a control diet (n = 11) for 8 weeks, after which physiological responses were evaluated. The study diet significantly increased the ratio of plasma tryptophan to large neutral amino acids and decreased urinary cortisol concentrations after being consumed daily for 8 weeks, but there was no effect on plasma cortisol levels following a stressful event (veterinary examination and blood draw). Further studies, such as behavioral analyses, are needed to clarify the effects of the study diet.
Extraction of Proteins from Mackerel Fish Processing Waste Using Alcalase Enzyme

Fish proteins are found in the flesh, head, frames, fin, tail, skin and guts of the fish in varying quantities. Unutilized fish and fish processing waste can be used to produce fish proteins which contain amino acids and many bioactive peptides. After removing the fish flesh during the fish processing operation, all other parts are considered wastes which are not properly utilized. The aim of this study was to evaluate the enzymatic extraction of protein from mackerel fish processing waste. Enzymatic extraction of proteins was carried out using alcalase enzyme at three concentrations (0.5, 1 or 2%) and four hydrolysis times (1, 2, 3 and 4 h). The fish protein hydrolysate was dried using a spray dryer to obtain protein powder. The highest protein yield (76.30% from whole fish and 74.53% from the frame) was obtained using 2.0% enzyme concentration after 4 h of hydrolysis. The results showed that increasing the enzyme concentration from 0.5 to 2% (400%) increased the protein yield by 3.13- 43.52% depending upon the fish part and reaction time used. Increasing the enzyme concentration by 4 fold for a small increase in protein yield may appear unjustified. Therefore, the enzyme concentration of 0.5% should be used for the protein extraction unless the enzyme is recycled or an immobilized reactor is used in order to reduce the cost associated with the enzyme. Also, increasing the hydrolysis time from 1 to 4 h (400%) increased the protein yield by 16.45 - 50.82% depending upon the fish part and enzyme concentration used. Increasing the hydrolysis time by 4 fold for a small increase in protein yield will increase the capital and operating costs of protein production. A shorter hydrolysis time will allow more throughput and/or reduce the volume of the reactor thereby reducing the cost of protein extraction. Therefore, a 1 h reaction time for protein extraction is recommended. The results showed that the combined fish waste can be used for protein extraction without any segregation.
RTS diagnostics of source-drain (edge?) related defects in submicron n-MOSFETs

In this paper,for the first time, a systematic study of the Random Telegraph Signal (RTS)jlitctuations in submicron W-array n-MOSFEI's is reported. It is shown that besides the classical channel-related RTS another type ocCurs, which is associated with the source or drain contact. Secondly, a new way of measuring the RTS is introduced for such signals, whereby the transistor is biased in the forward drain-substrate diode configuration. The available experimental evidence strongly suggests that the underlying oxide defects are lying in the transition region between the gate oxide and the field oxide, i.e. at the bird's beak of the structure.
Imaging sonar based navigation method for backtracking of AUV

We propose an imaging sonar-based backtracking method as a navigation strategy for an underwater investigation of AUVs. The purpose of backtracking method is to reduce a drift error caused by the inaccuracy of navigation sensors when an AUV returns to its previous position. The AUV divides the trajectory into several intervals and returns to the previous position while correcting small drift error for each interval. For the backtracking, we suggest a method obtaining terrain information using an imaging sonar. We create a 3D point cloud by scanning the seafloor. We can use the 3D point cloud to detect objects and to select natural landmarks. The selected natural landmark can be used as a reference in the backtracking process. To verify the feasibility of proposed methods, we conducted field experiments using a hovering-type AUV ‘Cyclops’.
Gestational Diabetes Mellitus (GDM): Comparative Evaluation of Two Treatment Regimens, Diet Versus Insulin and Diet

Two-hundred and two pregnant women with impaired glucose tolerance were randomized to treatment with diet or diet and insulin by stratified selection. Self-monitoring of blood glucose was performed six times a day, 3 days/wk. Dietary treatment was considered inappropriate if fasting and postprandial blood glucose values exceeded 7 and 9 mmol/L, respectively, in which case insulin therapy was instituted. Insulin doses were adjusted according to blood glucose values, aiming at fasting and postprandial values below 5 and 6.5 mmol/L, respectively. There were no perinatal deaths. The two treatment regimens disclosed no differences regarding achieved degree of maternal blood glucose control, hemoglobin A1c at delivery, obstetric or neonatal complications, infant's size at birth including skinfold thickness, or C-peptide concentration in cord serum. Routine treatment of pregnant women with mild carbohydrate intolerance with insulin seems unnecessary. However, 15 patients (14%) in the diet group needed insulin to achieve acceptable blood glucose control, underlining the importance of monitoring blood glucose to detect those who are at risk of developing overt diabetes.
Access map pattern matching for data cache prefetch

A novel data prefetching method -- access map pattern matching (AMPM) -- that uses "memory access map" is proposed. The AMPM prefetching concentrate hardware resources on collecting the access footprint of the frequently accessed area which we called "hot zones". 2-bit state is associated with each cache lines of hot zone. A set of these states is called "memory access map". Prefetch requests are generated from the pattern matching of the memory access map. The pattern matching detects multiple memory access patterns in parallel and generates more prefetch requests than conventional prefetchers. The evaluation result shows that the AMPM prefetcher improves performance by 42.0% in FP benchmarks.
Modulation of mesenchymal stem cell actin organization on conventional microcarriers for proliferation and differentiation in stirred bioreactors

Tissue engineering applications require an appropriate combination of a cell population, biochemical factors and scaffold materials. In this field, mesenchymal stem cells (MSCs) emerge as an attractive cell population, due to their ready availability and their potential to be differentiated into various mesodermal cell types. Commercially available microcarriers have been recently recognized as an efficient tool for the propagation of such cells compared to traditional monolayer culture, enabling efficient scale‐up and serving as a cell delivery system. The organization of actin as well as the induction of its effectors was previously shown to affect dramatically both proliferation and differentiation of MSCs in monolayer culture. To achieve mass scale production of differentiated cells derived from MSCs in scalable stirred bioreactors, this work aims at rationally screening microcarriers based on the characterization of actin organization. First, among the various supports tested, gelatin‐based microcarriers were found to be most suitable for MSC expansion, due to their best‐adapted actin organization compared to monolayer cultures. Secondly, the proper actin organization on Cultispher‐S was closely linked to its ability to bind serum adhesion molecules enabling Rho GTPase activation. Finally, by modulating actin behaviour, it was feasible to efficiently guide MSC differentiation on microcarriers. Taken together, these results show that controlling actin behaviour is a good strategy toward mass scale sequential expansion followed by differentiation of MSCs in a microcarrier based bioreactor. Copyright © 2012 John Wiley & Sons, Ltd.
Krüppel-like Factor 4 (Gut-enriched Krüppel-like Factor) Inhibits Cell Proliferation by Blocking G1/S Progression of the Cell Cycle*

Krüppel-like factor 4 (KLF4) is an epithelial cell-enriched, zinc finger-containing transcription factor, the expression of which is associated with growth arrest. Previous studies show that constitutive expression of KLF4 inhibits DNA synthesis but the manner by which KLF4 exerts this effect is unclear. In the present study, we developed a system in which expression of KLF4 is controlled by a promoter that is induced upon treatment of cells containing the receptors for the insect hormone, ecdysone, with ponasterone A, an ecdysone analogue. The rate of proliferation of a stably transfected colon cancer cell line, RKO, was significantly decreased following addition of ponasterone A when compared with untreated cells. Flow cytometric analyses indicated that the inducible expression of KLF4 caused a block in the G1/S phase of the cell cycle. A similar block was observed when ecdysone receptor-containing RKO cells were infected with a replication-defective recombinant adenovirus containing an inducibleKLF4 and treated with ponasterone A. Results of these studies provide evidence that the inhibitory effect of KLF4 on cell proliferation is mainly exerted at the G1/S boundary of the cell cycle.
Fast Detection of Connected Components in Large Scale Graphs Using MapReduce

Finding connected components of a graph is a fundamental problem in graph theory which arises in many different applications including data mining and network analysis. By increasing popularity of social networks and information systems, scale of real world graphs have increased to billions of nodes and edges. Thus, finding connected components of large scale graphs turned to be a computationally challenging task. Because of this, in recent years, there has been some works addressing this problem using the well-known MapReduce distributed large scale data processing framework. However, they do not have acceptable performance and sstill tere is great potential for imporvments. In this paper, we introduce a new approach for finding connected components of large scale graphs using MapReduce framework. Based on the results of the experiments on real-world datasets, we show that, by using the new algorithm, significant performance improvements have been gained. We also explain that the main idea of our algorithm is based on a general theory for effective utilization of computational resources provided by nodes in a MapReduce cluster to reduce communication and IO load.
Langerhans' cell histiocytosis in a 5-year-old girl: evidence of periodontal pathogens.

BACKGROUND Langerhans' cell histiocytosis (LCH) is a rare disorder characterized by Langerhans' cell proliferation in various organs or tissues. When periodontal tissue is involved, clinical manifestations can vary from gingival recession and pocket formation to severe alveolar bone loss. This case report describes periodontal pathogens found in the pockets of involved primary teeth. METHODS A 5-year-old girl with LCH presented with loose teeth. Intraoral examination and radiographs revealed deep pockets and severe bone loss around all primary molars. Bacterial samples were obtained from saliva and subgingival plaque and analyzed for the presence of five periodontopathic bacteria using a polymerase chain reaction (PCR) method. Due to severe periodontal destruction, all primary molars were extracted, and a gingival biopsy was taken from tooth T to confirm the diagnosis of LCH. RESULTS The biopsy specimen revealed the histologic features of LCH. The patient was diagnosed as having periodontitis as a manifestation of LCH. PCR results of subgingival plaque from LCH-affected molars indicated the presence of Porphyromonas gingivalis, Tannerella forsythensis, Treponema denticola, and Prevotella intermedia. However, Actinobacillus actinomycetemcomitans was absent from these teeth. No tested bacteria were found in the non-affected anterior teeth. CONCLUSIONS The bacteria commonly associated with periodontal disease were detected in subgingival plaque samples from this LCH patient. More microbiological data are required to understand the role of these bacteria in LCH-associated periodontal destruction.
Fitts’ Theorem in Oculomotor Control: Dissociable Movement Times for Amplitude and Width Manipulations

ABSTRACT The authors examined whether movement times (MT) for discrete saccades are constant given equivalent index of difficulty (ID) values (i.e., unitary nature of Fitts’ theorem). To that end, we contrasted ID/MT relations for saccades equated for ID but differing with respect to their target amplitudes and widths. Results showed that MT increased with increasing ID within amplitude and width conditions; however, the ID/MT slope was markedly steeper in the former condition. Thus, the amplitude condition imposed greater information processing demands than the width condition—a result indicating that the constituent elements of Fitts’ theorem are dissociable (i.e., nonunitary). Further, examination of saccade kinematics demonstrated that the optimal MT for a given target amplitude was largely independent of target width.
MATERIAL COMPOSITIONS AFFECTS VACUUM SYSTEM IN GRIPPING TECHNOLOGY

Some grippers operate using Bernoulli Principle for generating a high-speed flow between the gripper plate and product surface thereby creating vacuum which lifted the product. Most of the robot grippers are not easily applicable due to the food products are often delicate, easily marked or bruised, adhesive and slippery. Feasibility observations are studied to demonstrate and obtain an overall understanding on the capability and limitations of the vacuum gripper. A substantial part of automated material handling and assembly is the interface between machine and work piece. The main objective of this paper is to highlights the importance of Vacuum Gripper in industrial robot applications which will deal exclusively with gripping of different variety of materials/parts by using vacuum gripper. The design parameter of the vacuum gripper is a critical consideration in the applications of robotics for industrial operations. In order to realize the full potential of future robotics technology, vacuum grippers must be designed more likely as human hand, both in their sensory and control capabilities as well as their anatomical configurations. This paper describes a gripping technology with vacuum system for large building components, such as two dimensional modules and three-dimensional modules. The system comprises of the gripping mechanism itself as well as its supporting environment.