Miracle-dz/UniFAR-FTUs huggingface dataset:
Maiden application of Ziegler-Nichols method to AGC of Distributed Generation System

This paper deals with the load frequency control of Distributed Generation Systems (DGS) consisting of Wind, Solar and Diesel Generator. The Diesel Generator is controlled either by P or PI or PID controller to inject regulated amount of real power to the power system based on its rating. As a result it regulates the mismatch between the real power generation and the load which will lead to a minimum power and frequency deviations. A systematic way of deciding frequency bias parameter along with tuning the gains of the Proportional, Integral and Derivative controller (PID) based on Ziegler-Nichols method and ITSE performance criterion is proposed. The simulation studies are carried out for different types of controllers, and disturbances and it is found that it regulates the frequency with less number of oscillations, minimum peak over shoot, and settling time in the case of PID controller.
Marriage and cohabitation following premarital conception.

The role of cohabitation in the legitimation of premarital conceptions is considered using data on a sample of 920 women from the [U.S.] National Survey of Families and Households.Cohabitation does not appear to be a substitute for marriage.Findings indicate that cohabitation is part of the legitimation process and that it influences white womens and black womens marital behavior differently. This is a revised version of a paper originally presented at the 1992 Annual Meeting of the Population Association of America. (EXCERPT)
Factors associated with diastolic dysfunction in patients with resistant hypertension: resist-POL study.

BACKGROUND Diastolic dysfunction has been shown to be an independent factor of cardiovascular diseases in patients with hypertension. Very often, obstructive sleep apnea (OSA) and metabolic syndrome (MS) coexist with resistant hypertension (RHTN) and may lead to diastolic dysfunction. Thus, the purpose of this study was to investigate whether OSA and MS are associated with diastolic dysfunction in patients with RHTN independently from other factors, including age, left ventricular mass index (LVMI), and blood pressure (BP). METHODS Data from 155 patients (n = 92 men and 63 women) were analyzed. All patients underwent thorough examination, including biochemical evaluations, ambulatory blood pressure monitoring, polysomnography with assessment of apnea/hypopnea index (AHI), and echocardiography. LVMI and diastolic function parameters were obtained. RESULTS Patients were divided into 2 groups based on the presence or absence of diastolic dysfunction: group 1 (E' < 10cm/second; n=87) and group 2 (E' > 10cm/second; n = 68). AHI, LVMI, and 24-hour systolic BP/diastolic BP values were higher in group 1. E' correlated with AHI (r = -0.25; P < 0.001), LVMI (r = -0.36; P < 0.0001), 24-h systolic BP/24-h diastolic BP (r = -0.28, P < 0.001; r = -0.30, P < 0.001, respectively), glucose level (r = -0.26; P < 0.01), and abdominal obesity (r = -0.28; P < 0.0001). In multivariable models decreased E' was independently related to the presence of MS or abdominal obesity when separate components of MS were included in the model. Age and 24-hour systolic BP were independently associated with decreased E'. However, the relationship of decreased E' with 24-hour systolic BP was nonsignificant if LVMI was included in the multivariable model. CONCLUSIONS MS and abdominal obesity were independently associated with diastolic dysfunction in patients with RHTN. OSA was not confirmed to be an independent factor of diastolic dysfunction.
The Effect of cooking method in Potassium , lead and Cadmium Contents in Commonly Consumed packaged mushroom ( Agaricus bisporus ) in Iran

As the consumption and cultivation of mushrooms has been increased remarkably in recent years in Iran due to the high price of red meat, fish and other proteins ,this research builds upon: Determination and comparing heavy metal contents (Lead and Cadmium) and potassium as an nutritional value in mostly consumed brands of packaged mushrooms (Agaricus bisporus) samples purchased from Tehran markets in different states (sliced and conventional) and comparing them by European Standard: EC No.466/2001 and investigation the Effect different seasons and also cooking method (raw, cooked, fried, micro waved), in Potassium, lead and Cadmium
Synesthesia and Cross-Modality in Contemporary Audiovisuals

ABSTRACT This paper considers contemporary practice in “fused” or transcoded audiovisual art, focusing on the work of Australian artists Robin Fox and Andrew Gadow. In this practice sound and image are tightly linked by a cross-wiring of media signals. Synesthesia is often invoked around such work, proposing a parallel between perceptual and technical cross-wiring. This synesthetic analogy provides a historical context as well as an analytic frame; it is tested here through a reading of relevant neuro- and perceptual science that illustrates some striking parallels. Ultimately, however, an alternative model is proposed based on cross-modal binding, where stimuli in different modalities are “bound” into correlated wholes. Understood as cross-modal objects, transcoded audiovisuals direct us to the signal that underpins both sound and image, as well as to the map, or domain of correlation, between modalities. The wider significance of this practice, it is argued, lies in its ability to provide an aesthetic and affective manifestation of these abstract structures—structures that are central to new media culture, but largely imperceptible.
Down-regulation of the Wnt/β-catenin signaling pathway by Cacnb4

The cytoplasmic β4-subunit of the voltage-gated calcium channels has been shown be involved in the regulation of gene transcription. This subunit interacts with the transcription factor TCF4 and inhibits the Wnt/β-catenin signaling pathway. These results may also explain the inhibitory effect of the β4-subunit on cell proliferation.
Approximation of Constrained Average Cost Markov Control Processes

This paper considers discrete-time constrained Markov control processes (MCPs) under the long-run expected average cost optimality criterion. For Borel state and action spaces a two-step method is presented to numerically approximate the optimal value of this constrained MCPs. The proposed method employs the infinite-dimensional linear programming (LP) representation of the constrained MCPs. In particular, we establish a bridge from the infinite-dimensional LP characterization to a finite LP consisting of a first asymptotic step and a second step that provides explicit bounds on the approximation error. Finally, the applicability and performance of the theoretical results are demonstrated on an LQG example.
Sailing into the Wind: New disciplines in Australian higher education

Much is made of the potential of lifelong learning for individuals and organisations. In this article we tend to make much less of it, certainly with respect to its use in universities to discipline academics. Nevertheless, we argue that academics now need to re-learn the positions they occupy and the stances they take in response to the marketisation of Australian universities. In particular, we suggest that the position of (pure) critique no longer commands attention in Australian contexts of higher education, although the paper does not suggest a disregard for a critical stance purely for the sake of participation. It is in understanding the interconnections between position and stance , and how they might be strategically performed during the everyday practices of academics, that a more promising way of engaging with the venalities of the market is envisaged; a strategy that could be described as 'sailing into the wind'. In discussing these matters, the paper draws on semi-structured interviews with academics located in university faculties/departments/schools of education along Australia's eastern seaboard.
Real time feedback system for walking gait analysis

Improve modified and more accurate rehabilitation a technology and techniques arrives currently has proven their effectiveness on gait analysis. However they mainly concern with heavy indoor laboratory condition, over super vision from either clinical expert or consultant. This conventional technique is much expensive and delicate, as a result very few medical organisation containing it. In masses of countries such system still does not be present. An embedded system was design in real time application in such a way that it can able to produce system in real time even for long distance. The corrective feedback system can be satisfied by using visual feedback. These systems can be working on different parameters like stance time, pressure, and angular displacements in such a way that it helps in low cost application, as well as provide more accurate applications.
Dynamic resource allocation of GPS queues with leaky buckets

We study the problem of dynamic resource allocation of a GPS server with two traffic classes when the leaky bucket scheme is employed as a traffic policing mechanism. Three popular input traffic models - independent Poisson arrival, autoregressive model, and partially observed traffic (hidden Markov model) - are investigated. Theoretically, optimal control can be obtained by a basic dynamic programming algorithm. However, such a solution is computationally prohibitive due to the curse of dimensionality. Instead, we propose several heuristic policies with improvements using rollout, parallel rollout, and hindsight optimization techniques under the aforementioned traffic models and show that these techniques can significantly reduce the penalty associated with delays and dropped packets.
Bark and Charcoal Filters for Greywater Treatment Pollutant Removal and Recycling Opportunities

Water scarcity, inappropriate sanitation and wastewater pollution are critically important global issues. Greywater is a sustainable water source for recycling, so this thesis examined simple, robust, low-cost alternatives for on-site treatment of greywater to irrigation water quality. Laboratory-scale pine bark, activated charcoal and sand filters were evaluated as regards their pollutant removal and interactions between medium properties, greywater, microbial activity and bacterial community structure. The effects of hydraulic and organic loading rates (HLR and OLR) were described by general regression models (GRM). The quality of the treated greywater was evaluated against Jordanian standards for irrigation water. A series of experiments examined treatment of artificial greywater in terms of lowering biochemical oxygen demand (BOD5), chemical oxygen demand (COD), phosphorus (Tot-P), nitrogen (Tot-N) and pathogen indicators (total thermotolerant coliforms) and tracer microorganisms (enterohaemorrhagic Escherichia coli (EHEC) and bacteriophage PhiX). Following greywater loading, all filter materials developed biofilms with high bacterial diversity and richness. The driving force shaping bacterial communities in bark material was its organic composition and low pH, while the communities in the charcoal and sand filters were more influenced by the greywater. The GRM indicated that the performance of all filters was influenced by the HLR and OLR of the present and previous runs. The organic matter content and surface and hydraulic properties of the bark filters resulted in high BOD5 removal rates (94-99%), even at increased HLR and OLR, but accompanied by release of dissolved organic substances originating from the bark itself. High nitrification occurred in the bark filters in all loading regimes tested, but with low Tot-N removal. The bark filters demonstrated 1-3 log10 removal of microorganisms, but bark organic nature made its filters more vulnerable to biodegradation and disintegration. The charcoal had large specific surface area, which provided the capacity for intermediate-high removal of BOD5 (83-97%), Tot-N (5098%) and Tot-P (64-98%), but removal of pathogenic indicators was poor. The sand filters demonstrated low BOD5 removal (67-91%) and high nitrification, but low nitrogen removal. Greywater treatment by bark and charcoal filters reduced their organics content to acceptable irrigation levels. Nitrogen and microorganisms must be further reduced to meet Jordanian standards on treated wastewater for irrigation.
Fault Localization for Automated Program Repair : Effectiveness and Performance Fatmah

Automated program repair (APR) tools apply fault localization (FL) techniques to identify the locations of likely faults to be repaired. The effectiveness and performance of APR depends in part on the FL method used. If FL does not identify the location of a fault, the application of an APR tool will not be effective — it will fail to repair the fault. If FL assigns a faulty location a low priority for repair, the performance of APR will be reduced, increasing the time required to find a repair. In this paper, we evaluate the impact of five FL techniques (Jaccard, Optimal, Ochiai, Tarantula, and the GenProg Weighting Scheme) on the effectiveness and performance of a brute force APR tool when applied to faulty versions of the Siemens Suite and two other large programs: space and sed. All FL techniques were effective in identifying all faults except Optimal which failed to identify faulty locations in two faulty versions of the space subject program. We obtained the best APR performance when Optimal was used. However, Ochiai’s performance was noteworthy since it always assigned faulty statements at an equal or higher priority for repair than other FL techniques with acceptable performance. Copyright c © 2014
Work engagement: Further reflections on the state of play

In this article we further reflect on the “state of play” of work engagement. We consider, clarify, and respond to issues and themes raised by eight preeminent work engagement researchers who were invited to respond to our position article. The key themes we reflect upon include: (1) theory and measurement of engagement; (2) state and task engagement; (3) climate for engagement versus collective engagement; (4) the dark side of engagement; (5) where job crafting may go wrong; and (6) moderators of the engagement–performance relationship. We conclude that engagement can sensibly be conceptualized as a positive and high arousal affective state characterized by energy and involvement; that there may be additional dimensions that might usefully be included; that we need to more fully understand the day-to-day and moment-to-moment temporal dynamics and implications of engagement; that a “climate for engagement” will influence individual and organizational outcomes; that although engagement is at heart a positive construct, the “dark side” of engagement needs to be acknowledged and understood; that “job crafting” provides a potentially powerful way for employees to manage their engagement; and that we need to gain a better understanding of the moderators that influence the way that engagement is related to performance. We also outline some practical implications that follow from our conclusions.
The Origin of Values

Although values play a leading role in nearly every explanatory theory in the broad realm of the social and behavioral sciences, very little multidisciplinary research material on values is available. Addressing this need, the editors bring together distinguished social scientists, psychologists, and biologists who collaboratively explore fundamental questions about values: What are the determinants of social values, taboos, and ideologies? What are the determinants of individual values? What is the nature of motivations and rewards? Is there an evolutionary basis for the development of values?
A Neural Network Model Can Explain Ventriloquism Aftereffect and Its Generalization across Sound Frequencies

Exposure to synchronous but spatially disparate auditory and visual stimuli produces a perceptual shift of sound location towards the visual stimulus (ventriloquism effect). After adaptation to a ventriloquism situation, enduring sound shift is observed in the absence of the visual stimulus (ventriloquism aftereffect). Experimental studies report opposing results as to aftereffect generalization across sound frequencies varying from aftereffect being confined to the frequency used during adaptation to aftereffect generalizing across some octaves. Here, we present an extension of a model of visual-auditory interaction we previously developed. The new model is able to simulate the ventriloquism effect and, via Hebbian learning rules, the ventriloquism aftereffect and can be used to investigate aftereffect generalization across frequencies. The model includes auditory neurons coding both for the spatial and spectral features of the auditory stimuli and mimicking properties of biological auditory neurons. The model suggests that different extent of aftereffect generalization across frequencies can be obtained by changing the intensity of the auditory stimulus that induces different amounts of activation in the auditory layer. The model provides a coherent theoretical framework to explain the apparently contradictory results found in the literature. Model mechanisms and hypotheses are discussed in relation to neurophysiological and psychophysical data.
Indoor localization system based on fingerprint technique using RFID passive tag

Radio Frequency Identification (RFID) technology is one of emerging technologies in which many countries in the world pay attention to. Many applications of localization use RFID technology. In the present date, there are many papers of localization reviewed. However, indoor localization system for real applications is still limited. This research proposes indoor localization system using fingerprint technique to find the estimated location of the target. This technique is compared its signal (or ID information) pattern with a previously recorded database of known signal (or ID information)-location data. The Dot Product is applied as the pattern matching method. The maximum and 2nd maximum values of the dot product are considered. The fingerprint locations providing the maximum and 2nd maximum values of the dot product are averaged. This average location is referred to as the location of the target. The average error distance is approximately 75 cm. This result shows a good estimation results since the error of the target estimation are not more than the gap between two fingerprint locations (120 cm). From the result, we can conclude that our proposed method can be applied in the real situation and application.
Topic-Dependent-Class-Based  $n$-Gram Language Model

A topic-dependent-class (TDC)-based n-gram language model (LM) is a topic-based LM that employs a semantic extraction method to reveal latent topic information extracted from noun-noun relations. A topic of a given word sequence is decided on the basis of most frequently occuring (weighted) noun classes in the context history through voting. Our previous work (W. Naptali, M. Tsuchiya, and S. Seiichi, “Topic-dependent language model with voting on noun history,”ACM Trans. Asian Language Information Processing (TALIP), vol. 9, no. 2, pp. 1-31, 2010) has shown that in terms of perplexity, TDCs outperform several state-of-the-art baselines, i.e., a word-based or class-based n-gram LM and their interpolation, a cache-based LM, an n-gram-based topic-dependent LM, and a Latent Dirichlet Allocation (LDA)-based topic-dependent LM. This study is a follow up of our previous work and there are three key differences. First, we improve TDCs by employing soft-clustering and/or soft-voting techniques, which solve data shrinking problems and make TDCs independent of the word-based n-gram, in the training and/or test phases. Second, for further improvement, we incorporate a cache-based LM through unigram scaling, because the TDC and cache-based LM capture different properties of the language. Finally, we provide an evaluation in terms of the word error rate (WER) and an analysis of the automatic speech recognition (ASR) rescoring task. Experiments performed on the Wall Street Journal and the Mainichi Shimbun (a Japanese newspaper) demonstrate that the TDC LM improves both perplexity and the WER. The perplexity reduction is up to 25.1% relative on the English corpus and 25.7% relative on the Japanese corpus. Furthermore, the greatest reduction in the WER is 15.2% relative to the English ASR and 24.3 relative to the Japanese ASR, as compared to the baseline.
Entropy of T-sums and T-products of L-R fuzzy numbers

In the paper the entropy of L-R fuzzy numbers is studied. It is shown that for a given norm function, the computation of the entropy of L-R fuzzy numbers reduces to using a simple formula which depends only on the spreadsand shape functions of incoming numbers. In detail the entropy of T M -sums and T M -products of L-R fuzzy numbers is investigated. It is shown that the resulting entropy can be computed only by means of the entropy of incoming fuzzy numbers or by means of their parameters without the computation of membership functions of corresponding sums or products. Moreover, the results for some other t-norm-based sums and products are derived. Several examples are included.
STS in Management Education: Connecting Theory and Practice

This paper explores the value of science and technology studies (STS) to management education. The work draws on an ethnographic study of second year management undergraduates studying decision making. The nature and delivery of the decision making module is outlined and the value of STS is demonstrated in terms of both teaching method and module content. Three particular STS contributions are identified and described: the social construction of technological systems; actor network theory and ontological politics. Affordances and sensibilities are identified for each contribution and a discussion is developed that illustrates how these versions of STS are put to use in management education. It is concluded that STS has a pivotal role to play in critical management education and in the process offers opportunities for new forms of managing.
Leadership for Learning as an intentional, community-wide activity: the importance of developing a shared language in schools

A schoolwide language assists the mapping of subject content, supports teachers to discuss teaching and learning issues and enables a shared understanding of school leadership to emerge, so that student learning is improved. This article presents findings from a mixed methods study investigating Leadership for Learning (LfL) in independent schools in the state of New South Wales, Australia. By being intentional about the language used for learning and leadership, schools are more likely to establish LfL as a community-wide activity that is inclusive, collaborative and distributed. These findings also reinforce the critical role played by school principals in leading learning.