Miracle-dz/UniFAR-FTUs huggingface dataset:
Peak exercise capacity prediction from a submaximal exercise test in coronary artery disease patients

The purpose of this study was to determine whether a rating of perceived exertion scale (RPE) obtained during submaximal exercise could be used to predict peak exercise capacity (METpeak) in coronary artery disease (CAD) patients. Angiographically documented CAD patients (n = 124, 87% on β blockade) completed a symptom-limited peak exercise test on a bicycle ergometer, reporting RPE values at every second load on a scale of 6–20. Regression analysis was used to develop equations for predicting METpeak. We found that submaximal METs at a workload of 60/75 W (for women and men, respectively) and the corresponding RPE (METs/RPE ratio) was the most powerful predictor of METpeak (r = 0.67, p < 0.0001). The final model included the submaximal METs/RPE ratio, body mass index (BMI), sex, resting heart rate, smoking history, age, and use of a β blockade (r = 0.86, p < 0.0001, SEE 0.98 METs). These data suggest that RPE at submaximal exercise intensity is related to METpeak in CAD patients. The model based on easily measured variables at rest and during “warm-up” exercise can reasonably predict absolute METpeak in patients with CAD.
Intelligent Hybrid Electric Vehicle ACC With Coordinated Control of Tracking Ability, Fuel Economy, and Ride Comfort

Adaptive cruise control (ACC) of hybrid electric vehicles (HEVs) has been traditionally developed without an efficient integration with active safety and energy management systems of hybrid power-trains, mainly for facilitating its implementation. This, however, leads to a compromise in the fuel economy of HEVs, since the predictive driving information provided by ACC is not exploited by the energy management system. In order to enhance the energy efficiency and control system integration, a novel ACC system for intelligent HEVs (i-HEV ACC) is developed in this study. The controller is proposed within the framework of nonlinear model predictive control, and a position-based nonlinear longitudinal intervehicle dynamics model is developed. A coordinated optimal control problem for both the tracking safety and the fuel consumption is formulated subject to the constraints on stable tracking. A multistep offline dynamic programming optimization and an online lookup table are used to implement the real-time control algorithm. Experiments are further conducted, which demonstrate that the proposed i-HEV ACC achieves enhanced performance and cooperation in traffic safety, fuel efficiency, and ride comfort.
Knowledge Workers' Time Management As Sociomaterial Practice

Motivated by the apparent problems many knowledge workers have with managing their time effectively and the tremendous costs to individuals and organizations arising from these problems, we investigated the time management practices of five knowledge workers and analysed the processes and relationships linking these practices with related time management strategies and artefacts. Building on the conceptual foundations of the sociomaterial practice lens, we were able to identify three general objectives pursued with time management practices: remembering tasks, deciding what to do next, and maintaining a well-organized work place. In total we found 14 different practices for time management and could show the importance of both human and material agency in constituting the practices we observed. Furthermore we found practices to be highly interrelated. Similarly, previous practices also have a strong influence on current ones. Thus, changes in one practice will likely impact other practices as well and the actual effects are influenced by personal history and will be hard to predict in advance due to the emergent nature of the change.
Exchange rate pass-through implications for monetary policy: the Israeli case

The pass-through from the exchange rate to domestic prices is a key factor for monetary policymaking in Israel. In an inflation-targeting regime, the policy instrument is the interest rate, and the exchange rate is flexible without any intervention by the central bank. This has been the case in Israel since 1997. In this regime, movements in the exchange rate pass through to local prices via several channels. In Israel, apart from the effect of the exchange rate on the prices of tradables, there is a significant effect on the prices of non-tradables. This is mainly observed for housing prices that are set in US dollars, due to an indexation mechanism which began during the high inflation era (1978–1985). In this paper we provide recent evidence on the sources and extent of exchange rate pass-through to the CPI. Then we discuss the implications of these observations on monetary policy and the potential intervention policy in housing contracts.
The Origin of the Complex Spike in Cerebellar Purkinje Cells

Activation of the climbing fiber input powerfully excites cerebellar Purkinje cells via hundreds of widespread dendritic synapses, triggering dendritic spikes as well as a characteristic high-frequency burst of somatic spikes known as the complex spike. To investigate the relationship between dendritic spikes and the spikelets within the somatic complex spike, and to evaluate the importance of the dendritic distribution of climbing fiber synapses, we made simultaneous somatic and dendritic patch-clamp recordings from Purkinje cells in cerebellar slices. Injection of large climbing fiber-like synaptic conductances at the soma using dynamic clamp was sufficient to reproduce the complex spike, independently of dendritic spikes, indicating that neither a dendritic synaptic distribution nor dendritic spikes are required. Furthermore, we found that dendritic spikes are not directly linked to spikelets in the complex spike, and that each dendritic spike is associated with only 0.24 ± 0.09 extra somatic spikelets. Rather, we demonstrate that dendritic spikes regulate the pause in firing that follows the complex spike. Finally, using dual somatic and axonal recording, we show that all spikelets in the complex spike are axonally generated. Thus, complex spike generation proceeds relatively independently of dendritic spikes, reflecting the dual functional role of climbing fiber input: triggering plasticity at dendritic synapses and generating a distinct output signal in the axon. The encoding of dendritic spiking by the post-complex spike pause provides a novel computational function for dendritic spikes, which could serve to link these two roles at the level of the target neurons in the deep cerebellar nuclei.
Prediction of Customer Ratings on a New Corpus for Opinion Mining

In this paper a new corpus for opinion mining is introduced. It has been generated from Amazon customer reviews on several products. Details about its generation along with a complete description of the corpus are given. Besides, a linear regression has been applied in order to study how sort comments behave as textual information for the prediction of customer rates. Our experiments show that these texts are quite informative and that the rate is an interesting measurement on the overall opinion of the customer on the product. This technique could help to summarize opinions in other web sites where rate is not explicitly given by the user.
Energy Efficient Sleep Awake Aware (EESAA) intelligent Sensor Network routing protocol

Wireless Sensor Networks (WSNs), with growing applications in the environment which are not within human reach have been addressed tremendously in the recent past. For optimized working of network many routing algorithms have been proposed, mainly focusing energy efficiency, network life-time, clustering processes. Considering homogeneity of network, we proposed Energy Efficient Sleep Awake Aware (EESAA) intelligent routing protocol for WSNs. In our proposed technique we evaluate and enhance certain issues like network stability, network lifetime and cluster head selection process. Utilizing the concept of characteristical pairing among sensor nodes energy utilization is optimized. Simulation results show that our proposed protocolnificantly improved the network parameters and can be a useful approach for WSNs.
Storage and Uptake of d-Serine into Astrocytic Synaptic-Like Vesicles Specify Gliotransmission

Glial cells are increasingly recognized as active players that profoundly influence neuronal synaptic transmission by specialized signaling pathways. In particular, astrocytes have been shown recently to release small molecules, such as the amino acids l-glutamate and d-serine as “gliotransmitters,” which directly control the efficacy of adjacent synapses. However, it is still controversial whether gliotransmitters are released from a cytosolic pool or by Ca2+-dependent exocytosis from secretory vesicles, i.e., by a mechanism similar to the release of synaptic vesicles in synapses. Here we report that rat cortical astrocytes contain storage vesicles that display morphological and biochemical features similar to neuronal synaptic vesicles. These vesicles share some, but not all, membrane proteins with synaptic vesicles, including the SNARE (soluble N-ethylmaleimide-sensitive factor attachment protein receptor) synaptobrevin 2, and contain both l-glutamate and d-serine. Furthermore, they show uptake of l-glutamate and d-serine that is driven by a proton electrochemical gradient. d-Serine uptake is associated with vesicle acidification and is dependent on chloride. Whereas l-serine is not transported, serine racemase, the synthesizing enzyme for d-serine, is anchored to the membrane of the vesicles, allowing local generation of d-serine. Finally, we reveal a previously unexpected mutual vesicular synergy between d-serine and l-glutamate filling in glia vesicles. We conclude that astrocytes contain vesicles capable of storing and releasing d-serine, l-glutamate, and most likely other neuromodulators in an activity-dependent manner.
Wave Excitation in Disks around Rotating Magnetic Stars

The accretion disk around a rotating magnetic star (neutron star, white dwarf, or T Tauri star) is subjected to periodic vertical magnetic forces from the star, with the forcing frequency equal to the stellar spin frequency or twice the spin frequency. This gives rise to bending waves in the disk that may influence the variabilities of the system. We study the excitation, propagation, and dissipation of these waves using a purely hydrodynamical model coupled with a generic model description of the magnetic forces. The m = 1 bending waves are excited at the Lindblad/vertical resonance and propagate either to larger radii or inward toward the corotation resonance where dissipation takes place. While the resonant torque is negligible compared to the accretion torque, the wave nevertheless may reach an appreciable amplitude and can cause or modulate flux variabilities from the system. We discuss the possible relevance of our result to the observed quasi-periodic oscillations from various systems, in particular neutron star low-mass X-ray binaries.
HyMoTrack: A Mobile AR Navigation System for Complex Indoor Environments

Navigating in unknown big indoor environments with static 2D maps is a challenge, especially when time is a critical factor. In order to provide a mobile assistant, capable of supporting people while navigating in indoor locations, an accurate and reliable localization system is required in almost every corner of the building. We present a solution to this problem through a hybrid tracking system specifically designed for complex indoor spaces, which runs on mobile devices like smartphones or tablets. The developed algorithm only uses the available sensors built into standard mobile devices, especially the inertial sensors and the RGB camera. The combination of multiple optical tracking technologies, such as 2D natural features and features of more complex three-dimensional structures guarantees the robustness of the system. All processing is done locally and no network connection is needed. State-of-the-art indoor tracking approaches use mainly radio-frequency signals like Wi-Fi or Bluetooth for localizing a user. In contrast to these approaches, the main advantage of the developed system is the capability of delivering a continuous 3D position and orientation of the mobile device with centimeter accuracy. This makes it usable for localization and 3D augmentation purposes, e.g. navigation tasks or location-based information visualization.
Balanced distributed coding of omnidirectional images

This paper presents a distributed coding scheme for the representation of 3D scenes captured by stereo omni-directional cameras. We consider a scenario where images captured from two different viewpoints are encoded independently, with a balanced rate distribution among the different cameras. The distributed coding is built on multiresolution representation and partitioning of the visual information in each camera. The encoder transmits one partition after entropy coding, as well as the syndrome bits resulting from the channel encoding of the other partition. The decoder exploits the intra-view correlation and attempts to reconstruct the source image by combination of the entropy-coded partition and the syndrome information. At the same time, it exploits the inter-view correlation using motion estimation between images from different cameras. Experiments demonstrate that the distributed coding solution performs better than a scheme where images are handled independently, and that the coding rate stays balanced between encoders.
Modeling of crosstalk induced effects in nanoscale copper interconnects

Due to continued scaling of feature sizes, signal integrity and performance of today's copper based nanoscale interconnects are severely impacted. In this work, an ABCD parameter based model is presented for fast and accurate estimation of crosstalk delay and noise for identically coupled copper based nano-interconnect systems. Using the proposed analytical model, the crosstalk delay and noise are estimated in copper based nano-interconnects for intermediate and global interconnects at the future Integrated circuit technology nodes of 21 nm and 15 nm respectively. The proposed model has been compared with SPICE and it is found that both the crosstalk delay and noise model are almost 100% accurate as SPICE and in an average ~22 times and ~40 times faster than SPICE respectively.
Simulated generation of evoked potentials components using networks with distinct excitatory and inhibitory neurons

Long latency evoked potentials (EPs) are electrical potentials related to brain information processing mechanisms. A three-layered neurophysiologically based artificial neural network model is presented whose neurons obey to Dale's law. The first two layers of the network can memorize and recall sparsely coded patterns, oscillating at biologically plausible frequencies. Excitatory low-pass filtering synapses, from the second to the third layer, create evoked current dipoles, when the network retrieves memories related to stimuli. Based on psychophysiological indications, simulated intracranial dipoles are straightforwardly transformed into long latency EP components such as N/sub 100/ and P/sub 300/ that match laboratory-measured scalp EPs.
Wi-Fi, but not on Steroids: Performance analysis of a Wi-Fi-like Network operating in TVWS under realistic conditions

The recent decisions by regulators in the USA and UK to open up unused portions of UHF spectrum for secondary use have been met with keen interest in using these TV white spaces (TVWS) for providing broadband services through Wi-Fi-like connectivity. Amid the ensuing media hype about “Wi-Fi on steroids”, there is a widespread perception that Wi-Fi operating in TVWS will provide much longer range, superior speeds, and more reliable connections than traditional Wi-Fi at 2.4 GHz. In this paper, we present a quantitative analysis of the performance of a network of Wi-Fi-like access points (APs) operating in TVWS in order to obtain a realistic estimate of the achievable range and downlink rate of such a secondary system. Unlike previous studies, we explicitly consider the effects of inter-AP interference and congestion and use real TVWS channel availability estimates from an example region of Germany. We confirm the favourable properties of the lower TVWS frequency range, of enabling better propagation through walls and a larger coverage range for the same power budget. Our results show that operating Wi-Fi hotspots in TVWS might be technologically attractive for outdoor rural areas where user demand is low. However, the extended coverage range in TVWS leads to increased congestion which rapidly limits the system capacity for an outdoor urban deployment with high user density. Therefore, a combined technological and economical analysis is essential before any final judgement can be reached about the viability of large-scale Wi-Fi deployments in TVWS.
Strong-Weak Coupling Duality in Four-Dimensional String Theory

We present several pieces of evidence for strong–weak coupling duality symmetry in the heterotic string theory, compactified on a six-dimensional torus. They include symmetry of the (1) low energy effective action, (2) allowed spectrum of electric and magnetic charges in the theory, (3) allowed mass spectrum of particles saturating the Bogomol'nyi bound, and (4) Yukawa couplings between massless neutral particles and massive charged particles saturating the Bogomol'nyi bound. This duality transformation exchanges the electrically charged elementary string excitations with the magnetically charged soliton states in the theory. It is shown that the existence of a strong–weak coupling duality symmetry in four-dimensional string theory makes definite predictions about the existence of new stable monopole and dyon states in the theory with specific degeneracies, including certain supersymmetric bound states of monopoles and dyons. The relationship between strong–weak coupling duality transformation in string theory and target space duality transformation in the five-brane theory is also discussed.
ALLEVIATION OF SALINITY STRESS IN SPRING WHEAT BY HORMONAL PRIMING WITH ABA , SALISALIC ACID AND ASCORBIC ACID

Effects of hormonal priming with abscisic acid (ABA), salicylic acid (SA), or ascorbic acid on wheat (Triticum aestivum cv. Auqab 2000) germination and seedling growth under normal (4 dS/ cm) and saline (15 dS/ cm) conditions were studied to determine their usefulness in increasing relative salt-tolerance. During germination test, most of treatments were effective in improving germination and seedling vigor of wheat during salinity stress. Seeds primed with 50 ppm ascorbic acid and 50 ppm SA not only improved final germination count but also reduced the germination time under saline conditions. Seedling raised from primed seeds with 50 ppm SA followed by 50 ppm ascorbic acid had significantly higher lengths and fresh and dry weight of shoot than other treated or non-primed seeds under non-saline and saline conditions. But all hormonal priming treatments decreased the electrolyte leakage of steep water as compared to that of non-primed seeds even after 12 h of soaking. Hormonal priming with 50 ppm SA induced maximum decrease in electrolyte leakage, while an increase in electrolyte leakage was observed by 10 ppm ABA and 100 ppm ascorbic acid. It is concluded that hormonal priming has reduced the severity of the effect of salinity but the amelioration was better due to 50 ppm SA and 50 ppm ascorbic acid treatments as these showed best results on seedling growth, fresh and dry weights under non-saline and saline conditions whereas hormonal priming with ABA as not effective in inducing salt tolerance under present experimental material and conditions.
Fleeting Memories Cognition of Brief Visual Stimuli Understanding Sentences and Scenes: the Role of Conceptuafshort-term Memory Eaidence for Cstm-at Oaeraieut

h this drapter I zummarize a thesis conceming a very brief form of memory that I have termed conceptual short-temr memory (CSTM). I then consider the role of this forn of working memory in attending selectively, understanding language and recognizing and remembering scenes. Finally, I discuss some issues relevant to CSTM, induding the question of whether CSTM is conscious When people view or listen to continuous sequences of scenes or words, as they do when they look around, read, listen, or watch TV, a series of conceptual representations is activated. These rapidly activated and equally rapidly forgotten representations are the raw material for identification and comprehension of words, pictures, and sequences such as a sentence, and indeed for intelligent thought more generally. The normal ease with which we understand what we read and see around us is based on selective processing that takes place much faster than has been supposed in many theories of working and short-term memory, leading to the CSTM hypothesis (Potter 1993). The CSTM hypothesis proposes that when a stimulus is identified, its meaning is rapidly activated and maintained briefly in CSTM. CSTM is a processing and memory system different from early visual (iconic) memory, conventional short-term memory (STM), and longer-term memory (LTh{) in three important respects: (1) the rapidity with which stimuli readr a postcategoricaf meaningful level of representation, (2) the rapid struchrring of these representations, and (3) the lack of awareness (or immediate forgetting) of inforrration that is not structured or otherwise consolidated. Structure-building in CSTM ranges from spontaneous grouping of words in lists on the basis of meaning (one of the simplest forrrs of conceptual structuring) to linguistic parsing and semantic interpretation of sentences and more extended texts (examples of highly skilled structuring). Organization or structuring of new stimuli enhances memory for them. The idea here is that most cognitive processing ocorrs on the fly, without review of material in standard short-tenn memory and with 14 Mary C. Potter little or no conscious reasoning. Yet, these rapid processes are flexible, not fixed: new sentences are processed, new scenes are comprehmded, important items are selected for attention even though they cannot be explicitly anticipated, novel sentences are formulated to express an idea, and appropriate actions are taken. I propose that CSTM plays an essential role in these processes. The working of CSTM is best revealed when two or more stimuli are presented together or in …
Data caching, garbage collection, and the Java memory model

Multiprocessors often feature weaker memory models than sequential consistency. Relaxed memory models can be implemented more efficiently and allow more optimizations. The Java memory model is a relaxed memory model that is a natural choice for a Java processor. In this paper, we show that a data cache that obeys the restrictions of the Java memory model can be implemented efficiently. The proposed implementation requires only local actions to ensure data consistency and is therefore timing analysis friendly. Furthermore, we investigate the impact of the proposed data cache design on the correctness of real-time garbage collection. Relaxed memory models must to be taken into account when initializing and moving objects during heap compaction. Also, write barriers and the start of a garbage collection cycle require careful design under the Java memory model.