Miracle-dz/UniFAR-FTUs huggingface dataset:
OPTIMUM POWER OSCILLATION DAMPING IMPROVEMENT USING AN ADD-ON SELF TUNING CONTROL SYSTEM FOR UPFC APPLICATION

This project presents a new addon self tuning control scheme to supplement its conventional PI control system in damping low frequency inter area power oscillations. Low frequency (0.1 to 0.8 Hz) inter-area oscillations are often observed when power systems interconnected through weak tie lines are subjected to disturbances such as faults, line outages and sudden load changes. Power System stabilizers(PSS) that are invented are suitable for damping local area(intra-area) oscillations. UPFC is a versatile FACTS device that can be effectively used for damping such inter area power oscillations. For a wide range of operating conditions, the conventional PI controlled UPFC unless retuned suffers from insufficient or non optimal damping performance. In addition tuning of PI controllers is a complex task in a large power system network. Artificial Neural networks and fuzzy logics require either offline training or inference rules which are ineffective for damping oscillations in a dynamic power system. To overcome these problems it is proposed to supplement the PI controller with an (Self Tuning) ST feedback loop comprised of an identifier and a Pole Shifting (PS) control algorithm. The ST control algorithm which is based on a Pole Shift technique has previously been successfully applied in Adaptive Power System Stabilizers (APSSs). A constrained recursive least squares (CRLS) identification procedure is adopted here to correctly identify system and smooth out parameter variations efficiently during large disturbances (i.e., large power swings) following a fault condition. With a CRLS identifier tracking the system conditions online, this scheme eliminates the need for PI parameter retuning. The identifier works on an estimated plant model of a power system; an auto-regressive moving average (ARMA) model which is simple and involves only a minor calculation step. A two area power system is considered with different abnormal conditions(faults) as case studies where the damping performance is considerably improved in an optimum manner with the proposed add-on scheme and the comparative results are presented.
Purification and characterization of glutamate dehydrogenase as another isoprotein binding to the membrane of rough endoplasmic reticulum

Glutamate dehydrogenase (GDH) was purified from rough endoplasmic reticulum (RER) in rat liver using anion‐exchange and affinity chromatography. As GDH has been known as an enzyme that exists mainly in the matrix of mitochondria, the properties of purified GDH were compared with those of mitochondrial GDH. The GDH activity in 0.1% Triton X‐100‐treated RER subcellular fraction was nearly the same as intact RER, whereas that of the mitochondrial fraction increased by 50% after the detergent treatment. In kinetic values, in addition, mitochondrial GDH had a higher Km value for NADP+ than NAD+, whereas the Km value for NAD+ was higher than that for NADP+ in the case of GDH of RER, which showed a difference in specificity to cofactors. Moreover, when two GDH isoproteins were incubated at 42°C or treated with trypsin, GDH from RER was more stable against heat inactivation and less susceptible to proteolysis than mitochondrial GDH in both cases. In addition, GDH of RER had at least five amino acids different from mitochondrial GDH when sequences of N‐terminal and several internal peptide fragments were analyzed. These results showed that GDH of RER is another isoprotein of GDH, of whose properties are different from those of mitochondrial GDH. J. Cell. Biochem. 76:244–253, 1999. © 1999 Wiley‐Liss, Inc.
Methylation‐Sensitive Single‐Molecule Analysis of Chromatin Structure

Methylation‐sensitive single‐molecule analysis of chromatin structure is a high‐resolution method for studying nucleosome positioning. As described in this unit, this method allows for the analysis of the chromatin structure of unmethylated CpG islands or in vitro–remodeled nucleosomes by treatment with the CpG‐specific DNA methyltransferase SssI (M.SssI), followed by bisulfite sequencing of individual progeny DNA molecules. Unlike nuclease‐based approaches, this method allows each molecule to be viewed as an individual entity instead of an average population. Curr. Protoc. Mol. Biol. 89:21.17. 1‐21.17. 16. © 2010 by John Wiley & Sons, Inc.
Responsiveness of the International Knee Documentation Committee Subjective Knee Form

Background and Purpose The International Knee Documentation Committee Subjective Knee Form was developed to measure change in symptoms, function, and sports activity in patients treated for a variety of knee conditions. Although previous research has demonstrated reliability and validity of the form, its responsiveness has not been evaluated. The purpose of this study was to determine responsiveness of the International Knee Documentation Committee Subjective Knee Form. Study Design Cohort study (diagnosis); Level of evidence, 1. Methods Patients who participated in the original validation study for the International Knee Documentation Committee Subjective Knee Form completed the form and a 7-level global rating of change scale that ranged from greatly worse to greatly better after a mean of 1.6 years (range, 0.5-2.3 years). Analyses included calculation of the standardized response mean and mean change in International Knee Documentation Committee Subjective Knee Form score compared to the patient's perception of change on the global rating of change scale. In addition, a receiver operating characteristic curve was plotted to determine the change in score that best distinguished patients who improved from those who did not. Results The overall standardized response mean was 0.94, which is considered large. With the exception of those who were slightly worse or unchanged, the mean change in the International Knee Documentation Committee Subjective Knee Form score compared to the patients’ perceived global ratings of change was as expected (greatly worse,–15.1; somewhat worse,–8.4; slightly worse, 20.6; no change, 10.7; slightly better, 5.9; somewhat better, 18.1; greatly better, 38.7). The receiver operating characteristic curve analysis revealed that a change score of 11.5 points had the highest sensitivity, and a change score of 20.5 points had the highest specificity to distinguish between those who were or were not improved. Conclusion The International Knee Documentation Committee Subjective Knee Form is a responsive measure of symptoms, function, and sports activity for patients with a variety of knee conditions.
Learning vector quantization with local subspace classifier

In this paper, generalized learning vector quantization (GLVQ) with local subspace classifier (LSC) is proposed for achieving high accuracy with a small memory requirement. In a training phase, the k-closest prototypes to an input training sample are moved by the same update rule of GLVQ for reducing the number of misclassification on training samples. In a test phase, a test sample is classified by LSC with trained prototypes. Experimental results on a handwritten digit show that the proposed learning rule outperforms other classifiers such as the original GLVQ algorithm.
Assessment of small signal stability of power systems with wind energy conversion unit

Wind energy has attracted great interest as alternative source for electric power supply. However, its intermittent nature has been an issue of concern when integrated in power system. In this paper numerical technique based on generalised eigenvalues is used to investigate the influence of intermittent wind energy on small signal stability of power system. The result shows that the variation of power from wind energy conversion system (WECS) may lead to instability in power system. It is also observed that, as power varies, the rotor angles of all the machines in the system are affected.
The Use of Rapid Prototyping in the Preoperative Planning of Distraction Osteogenesis of the Cranio-Maxillofacial Skeleton

Objective: In cranio-maxillofacial surgery, the principle of distraction osteogenesis (DO) can be used for the reconstruction of the deformed skull, midface complex, mandible and alveolar ridge. Optimal results can only be obtained with accurate planning of the osteotomies and accurate positioning of the distraction device. In addition, the surgical planning must be transferred very precisely to the patient in the operating theater. The clinical accuracy and utility of stereolithographic models in cranio-maxillofacial distraction osteogenesis of the midface, mandible and alveolar ridge will be demonstrated. Materials and Methods: Thirteen patients were treated by DO in the cranio-maxillofacial skeleton. Five patients suffered from midface retrusion and were treated by a LeFort HI advancement. One patient suffered from an aseptic necrosis of the condylar process of the mandible and had a reconstruction of the condylar process by DO. Seven patients underwent an osteotomy of the alveolar ridge of the mandible with subsequent placement of distraction screws and implants because of advanced atrophy of the mandible. Following preoperative acquisition and conversion of the CT-scan data, a model was fabricated by stereolithography (SLA). Simulation of the osteotomies and placement of distraction devices was performed on these models, then surgical guides were used to transfer the surgical planning to the patient in the operating theater. Pre-and postoperative facial photographs and X-rays were compared to evaluate the accuracy of the transfer procedure. Results: In all cases, matching of pre-and postoperative facial photographs and X-rays showed reconstruction of the bony structures to be as accurate as planned on the SLA models. Transfer of the surgical plan by means of custom-made surgical guides was optimal in all cases. Conclusion: Preoperative planning of distraction osteogenesis of the cranio-maxillofacial skeleton and transfer to the operating theater by custom-made surgical guides remains the standard procedure for the planning of complex distraction cases. However, improvements in surgical simulation software and accurate virtual-reality surgery will probably make the use of these models redundant in the future.
Novel Filtering Power Divider With Wide Stopband Using Discriminating Coupling

A novel filtering power divider with wide stopband is presented in this letter. It utilizes four coupled quarter-wavelength resonators to obtain dual functions. Discriminating coupling is applied to the input and output feed lines and resonators, which not only to provide suitable coupling strength but also to suppress 3f0 and 5f0 (f0 is the operating frequency). A resistor is connected at the two open-ends of the input feed line to obtain high isolation. Transmission zeros are generated near the passband edges, resulting in high selectivity. For demonstration, a power divider with filtering function as well as wide stopband is implemented. Good agreement between the prediction and measurement validates the proposed method.
Recovery of the Endogenous β Cell Function in the NOD Model of Autoimmune Diabetes

In light of accumulating evidence that the endocrine pancreas has regenerative properties and that hematopoietic chimerism can abrogate destruction of β cells in autoimmune diabetes, we addressed the question of whether recovery of physiologically adequate endogenous insulin regulation could be achieved in the nonobese diabetic (NOD) mice rendered allogeneic chimerae. Allogeneic bone marrow (BM) was transplanted into NOD mice at the preclinical and overtly clinical stages of the disease using lethal and nonlethal doses of radiation for recipient conditioning. Islets of Langerhans, syngeneic to the BM donors, were transplanted under kidney capsules of the overtly diabetic animals to sustain euglycemia for the time span required for recovery of the endogenous pancreas. Nephrectomies of the graft‐bearing organs were performed 14 weeks later to confirm the restoration of endogenous insulin regulation. Reparative processes in the pancreata were assessed histologically and immunohistochemically. The level of chimerism in NOD recipients was evaluated by flow cytometric analysis. We have shown that as low as 1% of initial allogeneic chimerism can reverse the diabetogenic processes in islets of Langerhans in prediabetic NOD mice, and that restoration of endogenous β cell function to physiologically sufficient levels is achievable even if the allogeneic BM transplantation is performed after the clinical onset of diabetes. If the same pattern of islet regeneration were shown in humans, induction of an autoimmunity‐free status by establishment of a low level of chimerism, or other alternative means, might become a new therapy for type 1 diabetes.
IDENTICAL PARTICLES AND PERMUTATION GROUP

Second quantization is studied. Creation and annihilation operators are shown to be related on the same basis to both the algebra h(1) and to the superalgebra osp(1/2) which are shown to be compatible with both Bose and Fermi statistics. The two algebras are completely equivalent in the one-mode sector but, because of the grading of osp(1/2), differ in the many-particle case. The possibility of an unorthodox quantum field theory is suggested.
High-speed object tracking in ordinary surroundings based on temporally evaluated optical flow

This paper describes an active camera system for high-speed object tracking. Under ordinary illumination, such as fluorescent lights, our system is capable of tracking an object in a typical indoor environment that contains a cluttered background. In order to accomplish this task, we developed a high-sensitivity high-frame-rate visual sensor system and a real-time object tracking algorithm that makes use of our previously proposed motion estimation technique, which is capable of robustly estimating optical flow in a high-frame-rate image sequence. The experimental results for our active camera system show the effectiveness and robustness of our visual sensor system and tracking algorithm.
Percepção do cliente sobre a manutenção do relacionamento com fornecedores preferenciais de TI

O termo marketing de relacionamento foi introduzido na literatura academica no final dos anos 1970 como uma estrategia das empresas priorizarem relacionamentos de longo prazo para obter vantagens e beneficios. Deste entao, uma serie de dimensoes sao propostas na literatura para entender a manutencao do relacionamento do fornecedor. Com o crescente numero de dimensoes disponiveis, torna-se mais complexa a compreensao de quais sao as dimensoes mais importantes para uso em novas pesquisas e quais dimensoes nao sao tao significativas. O presente estudo sugere uma abordagem de natureza quantitativa-descritiva para verificar a percepcao do cliente acerca da manutencao do relacionamento no contexto de servicos de TI. Para tal, utilizouse de dimensoes de alta ordem, que avaliou o relacionamento de um modo geral, com medidas unidimensionais e multidimensionais. Foram destacadas por este estudo duas dimensoes de alta ordem presentes na literatura, que sao a qualidade do relacionamento e o valor do relacionamento. Decorrente destas dimensoes utilizou-se a modelagem de equacoes estruturais para elaborar e testar tres modelos teoricos. Um dos modelos utilizou uma abordagem mista que buscou integrar a qualidade do relacionamento e o valor do relacionamento. A coleta de dados foi realizada atraves de uma survey com 290 executivos de TI de empresas localizadas no estado do Rio Grande do Sul que compram e necessitam de servicos de TI. Os resultados sugerem que o modelo que representa a qualidade do relacionamento tem maiores condicoes de avaliar a manutencao do relacionamento de fornecedores de servicos de TI. Quando a qualidade do relacionamento e o valor do relacionamento sao colocados em uma avaliacao conjunta, o valor do relacionamento perde efeito em relacao a manutencao do relacionamento. Outras implicacoes decorrentes desta analise sao comentadas e sugeridas como pesquisas futuras.
Organizational Learning from Extreme Performance Experience: The Impact of Success and Recovery Experience

This paper argues that two different types of a firm's own extreme performance experiences---success and recovery---and their interactions can generate survival-enhancing learning. Although these types of experience often represent valuable sources of useful learning, several important learning challenges arise when a firm has extremely limited prior experience of the same type. Thus, we theorize that a certain threshold of a given type of experience is required before each type of experience becomes valuable, with low levels of experience harming the organization. Furthermore, we propose that success and recovery experience will interact to enhance each other's value. These conditions can help overcome learning challenges such as superstitious learning or learning from small samples. We investigate our ideas using a sample of the U.S. commercial banks founded between 1984 and 1998. Our results indicate that both success and recovery experience of a firm generate survival-enhancing learning, but only after a certain level of experience is reached. Furthermore, success and recovery experience enhance each other's learning value, consistent with the theories that emphasize the importance of richer and contrasting experience in providing useful knowledge. Our framework advances organizational learning theory by presenting a contingent model of the impact of success and recovery experience and their interaction.
Synthesized speech quality of Indonesian natural text-to-speech by using HTS and CLUSTERGEN

In this paper, we present the comparison of the synthesized speech of natural Indonesian text-to-speech by using CLUSTERGEN and HTS. The experiment conducted by using 1529 Indonesian speech databases for male (mmht) and female (fena) voice. The process is both contain of training and synthesis part, but in CLUSTERGEN there give a difference method that is trajectory model. After the synthetic voice were synthesized, we evaluate using objective and subjective test to measure the synthesized speech quality. The analysis is done using fundamental frequency track and plot of mel-cepstrum. The result shown that there are not big different in the speech quality of synthesized speech by using CLUSTERGEN and HTS.
NOD mice have a severly impaired ability to recruit leukocytes into sites of inflammation

The accumulation of macrophages (MΦ) and dendritic cells (DC) in the pancreas plays a crucial role in the pathogenesis of autoimmune diabetes. We studied the recruitment of monocytes, MΦ and DC to sites of inflammation, i.e. the peritoneal cavity and a subcutaneously elicited air pouch in the NOD mouse model of autoimmune diabetes. The leukocyte recruitment was studied from 1 to 7 days after injection of thioglycollate (peritoneum), C5a (peritoneum, air pouch), CCL2 and CCL3 (air pouch). C57BL/6 and BALB/c mice served as controls. Morphological and flow cytometric analysis of the recruited cells was performed, IL‐1β, TNF‐α, IL‐6, IL‐12 and IL‐10 in exudates measured, and in vitro CCL2‐chemotaxis of exudate MΦ (Boyden chamber) determined. NOD mice were strongly impaired in the recruitment of MΦ, DC, monocytes, and granulocytes. Chemokine‐injected air pouches of NOD mice showed an increased IL‐10 and a decreased IL‐1β level, while the other cytokines were normally or very lowly expressed. In addition, NOD exudate MΦ displayed an impaired in vitro CCL2‐induced migration. Our data show that NOD mice have an impaired ability to recruit leukocytes into sites of inflammation elicited in the peritoneum and the air pouch. A raised IL‐10/IL‐1β ratio at these sites and a deficient migratory capacity of NOD monocytes are important determinants in this impairment.
Análise de coerência de ativação cortical de indivíduos jovens e idosos submetidos a uma exposição à realidade virtual

Introducao – Durante o processo de envelhecimento, ocorrem alteracoes fisiologicas que levam uma diminuicao na velocidade de processamento cerebral. Nos ultimos anos a realidade virtual (RV), vem se ampliando cada vez mais aplicada nos centros de reabilitacao, portanto conhecer a influencia da RV sob a atividade cerebral, nessas populacoes se faz necessario. Dentro desse contexto, a Eletroencefalografia e considerada como um dos principais meios de captacao da atividade cerebral. Atraves da obtencao da atividade cerebral, podemos estuda-la de diversas formas, uma delas e o estudo de coerencia entre pares de eletrodos, permitindo analisar as relacoes de diferentes areas cerebrais e como estas trocam informacoes. Objetivo: Este estudo teve por objetivo, investigar a influencia imediata da exposicao a uma sessao de treino de equilibrio em ambiente virtual sobre a coerencia entre os lobos frontais de adultos jovens e idosos, mensurada atraves do Emotiv EPOC. Metodologia: Estudo comparativo, envolvendo 20 individuos divididos nos grupos: jovem (GJ) e idoso (GI). Apos passarem por uma avaliacao do estado geral, do suporte necessario para a marcha (FAC) e do estado cognitivo (MEEM), os participantes realizaram durante 4 minutos, o jogo penguin slide da categoria de equilibrio do Nintendo Wii, cujos efeitos sobre a atividade cortical foram observados por meio da coleta realizada pelo EPOC. Resultados: O GJ apresentou valores de coerencia inter-hemisferica semelhantes na banda alfa e na banda beta em comparacao ao GI. Quanto a coerencia de fase o GI apresentou uma antecipacao do hemisferio direito enquanto, o GJ apresentou do hemisferio esquerdo. Conclusao: A realidade virtual parece estimular igualmente o GJ e o GI. Entretanto o GJ, apresentou padroes de ativacao e de coerencia de fase, que sugerem compatibilidade com aprendizado previo a RV, justificando as diferencas encontradas na coerencia de fase entre os grupos.
One Size Does Not Fit All: A Detailed Analysis and Modeling of P2P Traffic

P2P applications are among the most popular Internet applications and constitute a majority of Internet traffic today. From the perspective of network management, a thorough understanding of the stochastic properties of P2P traffic is thus crucial to designing better traffic/resource control algorithms. However, previous work on measuring and analyzing P2P traffic focuses either on a specific type of P2P applications or report only qualitative or quantitative findings in the measured traffic, without systematically analyzing and modeling P2P traffic. In this paper, we aim to bridge the gap and perform a detailed analysis and modeling of P2P traffic of different types. We first gather and identify P2P traffic on a trans-pacific link between Japan and US. Then based on the flow level (transport layer) information, we analyze and model the marginal distributions of the traffic volume, connection duration, and connection interarrival times for P2P connections of Napster, BitTorrent (BT), eDonkey, Gnutella, and Fasttrack, respectively. We also study the burstiness property of P2P traffic generated by these five different applications and the implication/impact of connections with zero traffic volumes. A major finding of our study is that due to the different parameters/strategies used in the file sharing mechanism, P2P traffic of different applications exhibits different traffic characteristics. As a result, the traffic metrics of interest (i.e., the per-connection traffic volume, the connection duration, and the connection interarrival times) cannot be characterized uniformly with a single model among the different types of applications, but instead have to be modeled with different probability distributions.