Miracle-dz/UniFAR-FTUs huggingface dataset:
Increased Anxiety, Akathisia, and Suicidal Thoughts in Patients with Mood Disorder on Aripiprazole and Lamotrigine

Introduction. Akathisia affects around 18% of patients with bipolar disorder treated with aripiprazole and may worsen when aripiprazole is combined with lamotrigine and antidepressants. Case. This paper reports on two clinical cases involving patients with a diagnosis of mood disorder who developed severe akathisia, anxiety, and suicidal ideation while using a combination of aripiprazole, antidepressants, and lamotrigine. Discussion. We recommend that patients with a mood disorder taking multiple drugs should begin aripiprazole therapy with low doses and be monitored for the development of akathisia, increased anxiety, or suicidal thoughts. The appearance of these limiting side effects requires discontinuation of the drug.
Performance of algorithms for scheduling real-time systems with overrun and overload

This paper compares the performance of three classes of scheduling algorithms for real-time systems in which jobs may overrun their allocated processor time potentially causing the system to be overloaded. The first class, which contains classical priority scheduling algorithms as exemplified by DM and EDF provides a baseline. The second class is the Overrun Server Method which interrupts the execution of a job when it has used its allocated processor time and schedules the remaining portion as a request to an aperiodic server. The final class is the Isolation Server Method which executes each job as a request to an aperiodic server to which it has been assigned. The performance of the Overrun Sewer and Isolation Server Methods are worse, in general, than the performance of the baseline algorithms on independent workloads. However under the dependent workloads considered, the performance of the Isolation Server Method, using a server per task scheduled according to EDF, was significantly better than the performance of classical EDF.
Extracting information in a graded manner from a neural-network system with continuous attractors

Memory retrieval from neural networks has been described by dynamical systems with discrete attractors. However, recent neurophysiological studies suggest that information extraction in the brain is more likely to be described with continuous attractors. Here we put forward a neural-network system that provides continuous attractors with respect to the network state represented by a vector quantity. An attractor pattern continuously depends upon an initial pattern; it also reflects the embedded pattern. These suggest that, for each query encoded by an initial state, our model can extract different information from the network. To demonstrate the usefulness of this information, our model is applied to keyword extraction from a document.
Entropy analysis of the EEG background activity in Alzheimer's disease patients

Alzheimer's disease (AD) is the most common neurodegenerative disorder. Although a definite diagnosis is only possible by necropsy, a differential diagnosis with other types of dementia and with major depression should be attempted. The aim of this study was to analyse the electroencephalogram (EEG) background activity of AD patients to test the hypothesis that the regularity of the AD patients' EEG is higher than that of age-matched controls. We recorded the EEG from 19 scalp electrodes in 11 AD patients and 11 age-matched controls. Two different methods were used to estimate the regularity of the EEG background activity: spectral entropy (SpecEn) and sample entropy (SampEn). We did not find significant differences between AD patients and control subjects' EEGs with SpecEn. On the other hand, AD patients had significantly lower SampEn values than control subjects (p < 0.01) at electrodes P3, P4, O1 and O2. Our results show an increase of EEG regularity in AD patients. These findings suggest that nonlinear analysis of the EEG with SampEn could yield essential information and may contribute to increasing the insight into brain dysfunction in AD in ways which are not possible with more classical and conventional statistical methods.
The Good News About Dynamic Object-Oriented Parallel Processing

Mentat [1] is an object-oriented parallel processing system that addresses the need for easy-to-use tools for the construction of portable medium-grain parallel software. Three of the key features of the Mentat approach are that it is object-oriented, that it uses a layered virtual machine, and that it dynamically constructs data dependence program graphs and dynamically manages system resources and communication. It has been argued that the overhead of these three features would be so large that the performance gains over sequential execution would be negligible. We have evidence to the contrary. In this paper we show that these features do not inherently imply poor performance. We introduce Mentat, its object model, and those features that most strongly affect performance. We then examine the performance of four applications under Mentat on two different platforms. The four applications were selected because they span the spectrum of communication and synchronization requirements. The results show that a dynamic, object-oriented parallel programming environment can offer both a hospitable programming environment as well as good performance for a wide range of applications.
ACOUSTIC MODELING OF SENTENCE STRESS AND ITS DETECTION FOR LEARNING ENGLISH RHYTHM

This paper proposes a new technique for acoustic modeling of stressed/unstressed syllables in sentence utterances of American English. Here, relative differences of acoustic features between two consecutive syllables characterizing “stressed” or “unstressed” were introduced into the HMM-based acoustic modeling. This is because syllables can be identiﬁed as stressed or unstressed only after comparing them with their neighboring syllables. For training syllable HMMs, speech samples were recorded by ourselves because we could not ﬁnd any database which can be directly used for this modeling. The fourth author put multi-level stress marks (syllable magnitude) on individual syllables of a given sentence set, which was done according to guidelines for teaching English rhythm to non-native speakers of English, proposed and used in class by the fourth author. After the stress mark assignment, the sentences were uttered by her and recorded to be used for the HMM-based modeling. Experiments showed that stress/unstress identiﬁcation errors were reduced by about 25% in comparison to the modeling technique without the relative differences.
When mirroring is both simple and “smart”: how mimicry can be embodied, adaptive, and non-representational

The concept of mirroring has become rather ubiquitous. One of the most fundamental empirical and theoretical debates within research on mirroring concerns the role of mental representations: while some models argue that higher-order representational mechanisms underpin most cases of mirroring, other models argue that they only moderate a primarily non-representational process. As such, even though research on mirroring—along with its neural substrates, including the putative mirror neuron system—has grown tremendously, so too has confusion about what it actually means to “mirror”. Using recent research on spontaneous imitation, we argue that flexible mirroring effects can be fully embodied and dynamic—even in the absence of higher-order mental representations. We propose that mirroring can simply reflect an adaptive integration and utilization of cues obtained from the brain, body, and environment, which is especially evident within the social context. Such a view offers reconciliation among both representational and non-representational frameworks in cognitive neuroscience, which will facilitate revised interpretations of modern (and seemingly divergent) findings on when and how these embodied mirroring responses are employed.
Finding the Optimal Variable Ordering for Binary Decision Diagrams

The ordered binary decision diagram is a canonical representation for Boolean functions, presented by Bryant as a compact representation for a broad class of interesting functions derived from circuits. However, the size of the diagram is very sensitive to the choice of ordering on the variables; hence for some applications, such as Differential Cascode Voltage Switch (DCVS) trees, it becomes extremely important to find the ordering leading to the most compact representation. We present an algorithm for this problem with time complexity O(n/sup 2/3/sup n/), an improvement over the previous best, which required O(n! 2/sup n/).
Editorial: Resource Allocation in Real-time Systems 1

Large real-time systems are complex. In these systems there are usually many periodic and aperiodic tasks, a high degree of concurrency, and sig-niicant asynchronous behavior. Requirements often demand careful design and analysis so that the system is predictable. Unfortunately, much of the analysis has focussed on a too simplistic model. For example, the basic rate monotonic result requires many simplistic assumptions which are not met in practice. Consequently, for a complex system it does not matter that you have a beautiful theorem with precise analysis because the coverage of the assumptions compared to the real system is low. While the basic approach may still be useful for an approximate analysis, it must be noted that any approximate analysis is more limited for a real-time system than for a general purpose timesharing system because designers require precise analysis with respect to deadlines of speciic tasks. Another example of simplistic analysis is earliest deadline scheduling. Simple formulas can again provide precise results based on assumptions such as all tasks are preemptable at any point, there is no sharing of resources, and no overloads will ever exist. Again, if the manner in which these assumptions match the real system is poor than the precise analysis is not precise at all for the system in question! One key problem with the basic rate monotonic and earliest deadline policies and their analyses is that they fail to recognize that all resources must be addressed by the analysis and not just the CPU. In other words, what is required is an integrated resource allocation model for real-time where all resources are addressed, the assumptions made in the model and the actual system (including the environment) match to an acceptable degree, the run time system supports the model in a precise manner, it is analyzable, and the system is understandable. In this short note, I brieey consider three alternatives for an integrated resource allocation approach. One, is the rate monotonic scheduling with
High Pressure Homogenization of Porcine Pepsin Protease: Effects on Enzyme Activity, Stability, Milk Coagulation Profile and Gel Development

This study investigated the effect of high pressure homogenization (HPH) (up to 190 MPa) on porcine pepsin (proteolytic and milk-clotting activities), and the consequences of using the processed enzyme in milk coagulation and gel formation (rheological profile, proteolysis, syneresis, and microstructure). Although the proteolytic activity (PA) was not altered immediately after the HPH process, it reduced during enzyme storage, with a 5% decrease after 60 days of storage for samples obtained with the enzyme processed at 50, 100 and 150 MPa. HPH increased the milk-clotting activity (MCA) of the enzyme processed at 150 MPa, being 15% higher than the MCA of non-processed samples after 60 days of storage. The enzyme processed at 150 MPa produced faster aggregation and a more consistent milk gel (G’ value 92% higher after 90 minutes) when compared with the non-processed enzyme. In addition, the gels produced with the enzyme processed at 150 MPa showed greater syneresis after 40 minutes of coagulation (forming a more compact protein network) and lower porosity (evidenced by confocal microscopy). These effects on the milk gel can be associated with the increment in MCA and reduction in PA caused by the effects of HPH on pepsin during storage. According to the results, HPH stands out as a process capable of changing the proteolytic characteristics of porcine pepsin, with improvements on the milk coagulation step and gel characteristics. Therefore, the porcine pepsin submitted to HPH process can be a suitable alternative for the production of cheese.
Neuroendocrine cells of nasal mucosa are a cellular source of brain-derived neurotrophic factor

There is growing evidence for extensive interaction between sensory neurons, immune and mucosal epithelial cells during airway inflammation and hyperreactivity. This neuro-immune cross-talk (neurogenic inflammation) involves different groups of mediators, which include the neurotrophin family (nerve growth factor, brain-derived neurotrophic factor (BDNF) and neurotrophin-3 and -4). Neurotrophins modulate airway inflammation by enhancing sensory nerve excitability and production of neuropeptides, and by interaction with different immune cell types. In the present study, it was questioned whether airway epithelial cells express BDNF, and if proinflammatory cytokines (tumour necrosis factor-α, interleukin-1β and interferon-γ) and a glucocorticoid (budesonide) affect this expression. Primary cultures of nasal epithelial cells were used. It was found that BDNF was stored in chromogranin A-containing secretory granules of specialised epithelial cells, i.e. neuroendocrine cells, and was secreted in a polarised manner. Apical secretion appears to be constitutive, whereas basolateral secretion is markedly enhanced upon stimulation with cytokines. This enhanced basolateral secretion was not due to enhanced synthesis and was not affected by inhibitors of the processing enzymes, such as furin and the metalloproteinases involved in the maturation of BDNF, but was considerably diminished by budesonide. Therefore, airway mucosa might contribute to neurogenic inflammation through increased secretion of brain-derived neurotrophic factor by neuroendocrine cells under inflammatory conditions.
A Middleware for the Deployment of AmI Spaces

The latest mobile devices are offering more multimedia features, better communication capabilities (Bluetooth, Wi-Fi, GPRS/UMTS) and are more easily programmable than ever before. So far, those devices have been used mainly for communication, entertainment, and as electronic assistants. A radically different application domain for them may be represented by Ambient Intelligence (AmI), where mobile devices can be used as intermediaries between us and our surroundings. This paper proposes a middleware with a two-fold objective: (1) to simplify the creation and deployment of physical spaces hosting smart objects and (2) to transform mobile devices into universal remote controllers of those objects.
Modeling Chronic Glycemic Exposure Variables as Correlates and Predictors of Microvascular Complications of Diabetes

OBJECTIVE The degree to which chronic glycemic exposure (CGE) (fasting plasma glucose [FPG], HbA1c [A1C], duration of diabetes, age at onset of diabetes, or combinations of these) is associated with or predicts the severity of microvessel complications is unsettled. Specifically, we test whether combinations of components correlate and predict complications better than individual components. RESEARCH DESIGN AND METHODS Correlations and predictions of CGE and complications were assessed in the Rochester Diabetic Neuropathy Study, a population-based, cross-sectional, and longitudinal epidemiologic survey of 504 patients with diabetes followed for up to 20 years. RESULTS In multivariate analysis, A1C and duration of diabetes (and to a lesser degree age at onset of diabetes but not FPG) were the main significant CGE risk covariates for complications. A derived glycemic exposure index (GE(i)) correlated with and predicted complications better than did individual components. Composite or staged measures of polyneuropathy provided higher correlations and better predictions than did dichotomous measures of whether polyneuropathy was present or not. Generally, the mean GE(i) was significantly higher with increasing stages of severity of complications. CONCLUSIONS A combination of A1C, duration of diabetes, and age at onset of diabetes (a mathematical index, GE(i)) correlates significantly with complications and predicts later complications better than single components of CGE. Serial measures of A1C improved the correlations and predictions. For polyneuropathy, continuous or staged measurements performed better than dichotomous judgments. Even with intensive assessment of CGE and complications over long times, only about one-third of the variability of the severity of complications is explained, emphasizing the role of other putative risk covariates.
Design and implementation of two tank conical interacting system using intelligent technique (PSO)

This paper deals with the modeling and control of highly Non linear system using intelligent technique namely Particle Swarm Optimization (PSO). Control of process or process variable in process industries always employ a non linear system i.e., Two Tank Interacting Conical tank System (TTICS) is to be chosen due to its greater advantage. Conical tank system has varying cross sectional area, and its level (process variable) is constantly changing and exhibits a non linear dynamic behavior and so controlling of this system becomes a challenging problem. So in this proposed work, the mathematical modeling for a TTICS is obtained using real time process data. So for controlling the level of the process for proposed system, the process is tuned using the intelligent technique called Particle Swarm Optimization (PSO) in which it is guided by cost function, which considers the minimization of Integral Square Error (ISE), Integral Absolute Error (IAE) and settling time. It is evident, from the simulation results that the control of level for the process is tracked and its effectiveness is compared based on the various performances indices which has also been tuned using other tuning method like Ziegler Nichols method.
Thermal and Flammability Properties of Poly(p-phenylene- benzobisoxazole)

Poly( p-phenylene-benzobisoxazole), PBO, is a member of a family of rigid-rod, lyotropic liquid crystal polymers which can be fabricated into fiber, film and composites. PBO exhibits exceptional ignition resistance, low heat release rate, and very low smoke emission. PBO's fire, smoke, and toxicity (FST) properties are one of the best thermally stable polymers. PBO begins to ther mally decompose at 660 ° C and it has a char yield > 70% at 900 °C. It has LOI of > 56 and UL94 rating of VTM0 for 1 mil thick film. PBO generates almost no smoke, and very little toxic combustion products are generated during fire. PBO is more ignition resistant and has very low heat release (measured by the Cone Calorimeter) compared to other high temperature polymers. Carbon fabric/PBO composites do not ignite even after 15 minutes when exposed to a heat flux of 50 kW/m2. Preliminary results indicate that this carbon fabric/PBO composite meets the Navy's most critical fire, smoke, and toxicity requirements for applications inside submarines. PBO's unique combination of thermal, mechanical, and physical properties could provide enabling technology for the next generation of products for interior components of airplanes, ships, off shore structures, and other places where the fire, smoke, toxicity properties of the material and weight are critical.
Kruvaziyer Turistlerinin Deneyimleri, Memnuniyetleri ve Davranışsal Niyetleri: İstanbul da Örnek Bir Çalışma - Cruise Tourists Experiences, Satisfaction and Behavioral Intentions: A Case Study in Istanbul

In recent years, the most striking and the most demanded tourism type in some countries is cruise tourism. The advantage of cruise tourism is the possibility of seeing more than one city or one country on a trip, and not feeling annoyed because of organization of hotel, transportation for every each of destination. In this form of tourism which usually appeals to the middle and upper income group, the standards and concepts of the cruise ships vary according to the allocated budget. In this type of tourism which is particularly active in Europe and North America, the Mediterranean coast is also increasingly popular. The most visited ports by cruise ships in Turkey are Istanbul and Kuşadası. Being close to the touristical destinations and ancient ruins is often the reason of preference for the interest of ports. Since the participants are mostly included in the middle and upper income groups, expenditures for shopping and foodand-beverage sectors, contributes to the local economy.
Application of Daubechies Wavelet Transform in the Estimation of Standard Deviation of White Noise

Aiming at an additive white noise, a method to estimate the standard deviation of white noise is presented in the paper. The sampled data are first transformed to the wavelet domain by wavelet transform with the different scale levels and the different lengths of the compactly supported wavelets, and then the wavelet coefficients at each level are employed to estimate the standard deviation of the noise directly, which avoids the sequencing operation of the wavelet coefficients carried out in the method to estimate the standard deviation by a median value. Examples prove that the method presented in the paper has the advantage over the method to estimate the standard deviation by a median value. In addition, it can be seen from the results calculated at the different scale levels and different lengths of the compactly supported wavelets that the scale level has a bigger influence on the estimation of the standard deviation of the noise, and that the length of the compactly supported wavelets has only a maller influence on the estimation of the standard deviation of the noise.
Towards an integrated approach for the analysis of gender equity in policies supporting paid work and care responsibilities

This paper aims to develop a conceptual framework for analysing the degree to which public policies support gender equity in paid work and care. Combining the distinction between commodification and decommodification and the distinction between defamilialisation, supported familialism, and familialism by default our study identifies a number of relevant policies, ranging from services, leave entitlements, income support measures, and fiscal instruments to forms of acknowledgement of care work in pension systems. Although our main objective is conceptual, we offer a comparative overview of these policies for all of the EU countries, plus Norway. Thus, we provide a preliminary typology of policy approaches.
MIMO Precoding with ESPRIT-Like Blind Channel Estimation

This paper considers the Tomlinson-Harashima Precoding (THP) when using over multiple antenna system. In spite of its good performance, THP is very sensitive to erroneous Channel State Information (CSI) i.e., its performance largely depend on channel estimation accuracy. Most algorithms that employed in channel estimators are training based. In this paper, a correlation-based algorithm is proposed in order to estimate channel in blind method, where it does not require any training sequence for channel estimation. The CSI can be identified by an Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT)-like method and Singular Value Decomposition (SVD). In particular, we focus on the THP performance with respect to the channel estimation errors by employing spatial power loading which provides significant improvement with respect to conventional methods. We develop this loading for the THP in minimum average Symbol Error Rate (SER) sense. Simulation results are used to show the performance advantage attained by the power loading in blind channel estimation scenario.