Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensorless vector-control system with the correction of stator windings asymmetry in induction motor

Estimation of induction motor stator windings asymmetry influence on power and dynamic characteristics of sensorless vector control systems is performed. A system of vector control in a three-phase coordinate system is developed. This system makes it possible to compensate for induction motor windings asymmetry by correction of flux linkage assignment. Streszczenie. Analizowano wpływ asymetrii uzwojeń twornika silnika indukcyjnego na właściwości dynamiczne przy sterowaniu bezczujnikowym. Badano układ silnika trójfazowego. Przedstawiono metody korekcji wpływu asymetrii uzwojeń. (Bezczujnikowe wektorowe sterowanie silnikiem indukcyjnym z korekcją asymetrii uzwojeń)
Semi-Supervised Event Extraction with Paraphrase Clusters

Supervised event extraction systems are limited in their accuracy due to the lack of available training data. We present a method for self-training event extraction systems by bootstrapping additional training data. This is done by taking advantage of the occurrence of multiple mentions of the same event instances across newswire articles from multiple sources. If our system can make a high-confidence extraction of some mentions in such a cluster, it can then acquire diverse training examples by adding the other mentions as well. Our experiments show significant performance improvements on multiple event extractors over ACE 2005 and TAC-KBP 2015 datasets.
Valuation of Quality of Life in Pediatric Disability in a Developing Country

This article assessed how Indian providers and mothers value quality of life in pediatric disabilities, hypothesizing lower values with increasing disability, lower values among providers than mothers, and lower values among mothers with versus mothers without a disabled child. We asked 175 participants: “If born tomorrow, how many years of a disabled life (y) would you trade to avoid life-long disability” for 4 hypothetical disabilities, calculating “utility” scores as: (life span – y) / life span, where death = 0 and full life without disability = 1. Providers’ utilities were 0.67 (mild), 0.18 (moderate), –0.70 (severe), and –0.60 (profound); 0.67, 0, –0.77, and –0.88 for mothers without and 0.38, –0.49, –0.86, and –0.87 for mothers with a disabled child. Mothers without reported lower utilities than providers (severe and profound disability [P ≤ .03]), and higher utilities than mothers (for mild and moderate disability [P < .001]). Major disability is valued as a fate worse than death in India.
AML: high serum ferritin at initial diagnosis has a negative impact on long-term survival

Abstract Increased serum ferritin (SF) is common in hematologic malignancies; however, its prognostic role in acute myeloid leukemia (AML) is not clearly established. We examined the impact of baseline SF on long-term survival in 137 intensively treated AML patients. Patients and baseline characteristics were retrieved from an AML database at Charité University Medical Center Berlin, Campus Virchow Clinic. After c-reactive protein (CRP)-based adjustment for inflammation, patients were grouped according to their baseline SF level. Survival analysis was performed accordingly. A significant decline in overall survival and relapse-free survival was observed in patients with high SF as compared to those with low SF. Furthermore, elevated baseline SF remained an independent poor prognostic factor within the multivariate analysis and was associated with a significant higher risk of relapse and non-relapse mortality (NRM). In conclusion, our data show that elevated baseline SF has a negative impact on long-term survival in intensively treated AML patients.
Dynamics of the solar active region finestructure

We investigate the dynamical behavior of the finestructure in a sunspot's surroundings and its penumbra from a speckle-reconstructed 60 min time series taken at the 45 cm Dutch Open Telescope (DOT) on La Palma. In the 1 nm spectral window containing the G-band, we determine the area of each feature and its time evolution by means of pattern recognition, particularly adapted to separate bright granular edges from inter-granular G-band bright points (BP). The evolution of each individual BP shows a stronger variation of the area than of the intensity. We analyze the horizontal motions of BP as a function of their distance from the sunspot center. Within a 6 Mm ring around the outer sunspot border, most BP (4/5) move radially outwards; they are faster than the minority (1/5) of inward moving BP. The difference of both velocities indicates a radial outward drift which decreases from about 0.3 km s −1 at the outer penumbral border to zero at about 20 Mm distance (28 �� ) from the sunspot center; a spatial range that we interpret as the extension of the sunpot "moat". This finding supports the idea of giant rolls in deep layers measured by helio-seismic tomography and predicted by theory. Inside the penumbra, we find a 4/5 majority of penumbral bright structures (PBS) to move inwards with a mean velocity of 0.8 km s −1 . T he 1/5 minority of outward moving PBS is almost entirely located in the outer penumbra; their mean velocity of 0.8 km s −1 is equally found for penumbral dark structures (PDS) in the outer penumbra, in agreement with penumbral MHD models.
TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs

Personalized PageRank (PPR) is a classic metric that measures the relevance of graph nodes with respect to a source node. Given a graph G, a source node s, and a parameter k, a top-k PPR query returns a set of k nodes with the highest PPR values with respect to s. This type of queries serves as an important building block for numerous applications in web search and social networks, such as Twitter's Who-To-Follow recommendation service. Existing techniques for top-k PPR, however, suffer from two major deficiencies. First, they either incur prohibitive space and time overheads on large graphs, or fail to provide any guarantee on the precision of top-k results (i.e., the results returned might miss a number of actual top-k answers). Second, most of them require significant pre-computation on the input graph G, which renders them unsuitable for graphs with frequent updates (e.g., Twitter's social graph). To address the deficiencies of existing solutions, we propose PPR, an algorithm for top-k PPR queries that ensure at least ρ precision (i.e., at least ρ fraction of the actual top-k results are returned) with at least 1 - 1/n probability, where ρ ∈;n (0, 1] is a user-specified parameter and n is the number of nodes in G. In addition, PPR offers non-trivial guarantees on query time in terms of ρ, and it can easily handle dynamic graphs as it does not require any preprocessing. We experimentally evaluate PPR using a variety of benchmark datasets, and demonstrate that PPR outperforms the state-of-the-art solutions in terms of both efficiency and precision, even when we set ρ = 1 (i.e., when PPR returns the exact top-k results). Notably, on a billion-edge Twitter graph, PPR only requires 15 seconds to answer a top-500 PPR query with ρ = 1.
Low-pass Recurrent Neural Networks - A memory architecture for longer-term correlation discovery

Reinforcement learning (RL) agents performing complex tasks must be able to remember observations and actions across sizable time intervals. This is especially true during the initial learning stages, when exploratory behaviour can increase the delay between specific actions and their effects. Many new or popular approaches for learning these distant correlations employ backpropagation through time (BPTT), but this technique requires storing observation traces long enough to span the interval between cause and effect. Besides memory demands, learning dynamics like vanishing gradients and slow convergence due to infrequent weight updates can reduce BPTT's practicality; meanwhile, although online recurrent network learning is a developing topic, most approaches are not efficient enough to use as replacements. We propose a simple, effective memory strategy that can extend the window over which BPTT can learn without requiring longer traces. We explore this approach empirically on a few tasks and discuss its implications.
Response of Drip Irrigation and Plastic Mulch on Quality of Sapota (Achras Zapota) Fruits

The field experiment was conducted to study the response of sapota (Achras zapota) crop under drip irrigation and plastic mulch. Different amounts of irrigation water application through drip and ring basin irrigation methods along with plastic mulch treatments were experimented with five replications. The Sapota crop water requirement was estimated using reference evapotranspiration data and crop co-efficient for different crop growth stages. Reference evapotranspiration was estimated using FAO-56 Penman Monteith approach. The irrigation water was applied at 60%, 80%, and 100% of the crop water requirement using drip and ring basin irrigation system. The quality analysis of sapota fruit was performed to investigate the effect of different treatments. Economic analysis was carried out to study the economic feasibility of using drip irrigation and plastic mulch for sapota cultivation. The water requirement of sapota crop varies between 10.71 L per day per plant in winter and 34.43 L in summer for the treatment of 100% water requirement of the sapota plant. The physical properties like fruit weight, volume, dimension, peel-pulp ratio was found to be increased due to increase in amount of irrigation water application from 60% to 100% using drip irrigation. A small decrease in true density of fruit was observed with the increase of size of fruit. The pH of fruit increased with decrease in irrigation water application through drip system. The TSS, total sugar and reducing sugar were estimated to increase with reduced irrigation water application. Sweetness of the fruit increased with reduced irrigation water application. Increase in Sapota fruit yield varied from 7.62% to 41% in mulched treatments. Increase in fruit yield by 21.05% for the drip treated plants was over ring basin. Based on the water use efficiency, benefit-cost analysis and fruit quality analysis 80% irrigation requirement supplied through drip system along with plastic mulch treatment can be recommended for Sapota irrigation.
Identification of RECK as an evolutionarily conserved tumor suppressor gene for zebrafish malignant peripheral nerve sheath tumors

Malignant peripheral nerve sheath tumors (MPNSTs) are a type of sarcoma with poor prognosis due to their complex genetic changes, invasive growth, and insensitivity to chemo- and radiotherapies. One of the most frequently lost chromosome arms in human MPNSTs is chromosome 9p. However, the cancer driver genes located on it remain largely unknown, except the tumor suppressor gene, p16 (INK4)/CDKN2A. Previously, we identified RECK as a tumor suppressor gene candidate on chromosome 9p using zebrafish-human comparative oncogenomics. In this study, we investigated the tumorigenesis of the reck gene using zebrafish genetic models in both tp53 and ribosomal protein gene mutation background. We also examined the biological effects of RECK gene restoration in human MPNST cell lines. These results provide the first genetic evidence that reck is a bona fide tumor suppressor gene for MPNSTs in zebrafish. In addition, restoration of the RECK gene in human MPNST cells leads to growth inhibition suggesting that the reactivation of RECK could serve as a potential therapeutic strategy for MPNSTs.
Triptolide, a HSP90 middle domain inhibitor, induces apoptosis in triple manner

Triptolide (TL) is a potent anti-tumor, anti-inflammatory and immunosuppressive natural compound. Mechanistic studies revealed that TL inhibits tumor growth and triggers programmed cell death. Studies further suggested that TL inhibits heat shock response in cancer cells to induce apoptosis. HSP90β is the major component of heat shock response and is overexpressed in different types of cancers. Given almost all identified HSP90β inhibitors are either N or C-terminal inhibitors, small molecules attacking cysteine(s) in the middle domain might represent a new class of inhibitors. In the current study, we showed that TL inhibits HSP90β in triple manner. Characterization suggests that TL inhibits ATPase activity by preventing ATP binding thus blunts the chaperone activity. TL disrupts HSP90β-CDC37 (co-chaperone) complex through middle domain Cys366 of HSP90β and causes kinase client protein degradation. At the cellular level, the TL-mediated decrease in CDK4 protein levels in HeLa cells causes reduced phosphorylation of Rb resulting in cell cycle arrest at the G1 phase. Furthermore, our results demonstrated that TL triggers programmed cell death in an HSP90β-dependent manner as knockdown of HSP90β further sensitized TL-mediated cell cycle arrest and apoptotic effect. Surprisingly, our data showed that TL is the first drug to be reported to induce site-specific phosphorylation of HSP90β to drive apoptosome formation in the early phase of the treatment. In summary, our study established that TL is a novel middle domain HSP90β inhibitor with bi-phasic multi-mechanistic inhibition. The unique regulatory mechanism of TL on HSP90β makes it an effective inhibitor.
Statistical leakage estimation in 32nm CMOS considering cells correlations

In this paper a method to estimate the leakage power consumption of CMOS digital circuits taking into account input states and process variations is proposed. The statistical leakage estimation is based on a pre characterization of library cells considering correlations (ρ) between cells leakages. A method to create cells leakage correlation matrix is introduced. The maximum relative error achieved in the correlation matrix is 0.4% with respect to the correlations obtained by Monte Carlo simulations. The total circuit leakage is calculated using this correlation matrix along with the mean (μ), and variance (σ2) of each cell leakage. This approach is used for standby leakage estimation in 32nm technology. The accuracy and efficiency of the approach is demonstrated on a C3540 (8 bit ALU) ISCAS85 Benchmark circuit.
Validation of a novel animal model for sciatic nerve repair with an adipose-derived stem cell loaded fibrin conduit

Despite the regenerative capabilities of peripheral nerves, severe injuries or neuronal trauma of critical size impose immense hurdles for proper restoration of neuro-muscular circuitry. Autologous nerve grafts improve re-establishment of connectivity, but also comprise substantial donor site morbidity. We developed a rat model which allows the testing of different cell applications, i.e., mesenchymal stem cells, to improve nerve regeneration in vivo. To mimic inaccurate alignment of autologous nerve grafts with the injured nerve, a 20 mm portion of the sciatic nerve was excised, and sutured back in place in reversed direction. To validate the feasibility of our novel model, a fibrin gel conduit containing autologous undifferentiated adipose-derived stem cells was applied around the coaptation sites and compared to autologous nerve grafts. After evaluating sciatic nerve function for 16 weeks postoperatively, animals were sacrificed, and gastrocnemius muscle weight was determined along with morphological parameters (g-ratio, axon density & diameter) of regenerating axons. Interestingly, the addition of undifferentiated adipose-derived stem cells resulted in a significantly improved re-myelination, axon ingrowth and functional outcome, when compared to animals without a cell seeded conduit. The presented model thus displays several intriguing features: it imitates a certain mismatch in size, distribution and orientation of axons within the nerve coaptation site. The fibrin conduit itself allows for an easy application of cells and, as a true critical-size defect model, any observed improvement relates directly to the performed intervention. Since fibrin and adipose-derived stem cells have been approved for human applications, the technique can theoretically be performed on humans. Thus, we suggest that the model is a powerful tool to investigate cell mediated assistance of peripheral nerve regeneration.
CLASSIFICATION MAP OF THE MAJOR TERRESTRIAL ECOSYSTEMS OF THE CERRADO BIOME : A STUDY IN A PRIORITY AREA FOR CONSERVATION

One of the goals of my dissertation is to identify which ecosystems and habitats are present in the priority areas for conservation of the Cerrado biome, Brazil. Accurately mapping the terrestrial ecosystems and habitats in an adequate scale is the major step towards the achievement of this goal. A map including ecosystem types and converted areas not only allows more effective conservation planning but also pushes studies on environmental conservation and landscape ecology further in this region. Authors such as Sano et al (2005; 2010) have addressed the importance of classifying and monitoring of the Cerrado terrestrial ecosystems for conservation and sustainable use purposes. Moderate spatial resolution imagery has been used for many years in the Cerrado to conduct different studies involving remote sensing (Ferreira et al. 2003; Ferreira et al. 2004; Sano & Almeida 1998; Sano et al. 2010). Sano et al. (2007) identified that monitoring the Cerrado’s vegetation and precisely identifying its natural physiognomies is a challenging task. Obstacles for this task include seasonal dynamics, heterogeneity of the natural landscape as well as the different land uses of agriculture and pasture mixed in the landscape. The most recent land use cover product (TerraClass) from the Brazilian National Institute of Space Research (INPE) that covers the entire Cerrado was based on Landsat 8 from 2013, compatible with a scale of 1: 250,000. TerraClass was able to accurately map the vegetation classes divided in forest vegetation and non-forest vegetation. This binary division of the natural vegetation was due to the physiognomic variability of the vegetation and the complexity of the methodology to accurately identify habitat types (MMA, 2015). However, this same product was able to accurately map land use types.
Potential effects of landscape change on water supplies in the presence of reservoir storage

This work presents a set of methods to evaluate the potential effects of landscape changes on water supplies. Potential impacts are a function of the seasonality of precipitation, losses of water to evapotranspiration and deep recharge, the flow‐regulating ability of watersheds, and the availability of reservoir storage. For a given reservoir capacity, simple reservoir simulations with daily precipitation and streamflow enable the determination of the maximum steady supply of water for both the existing watershed and a hypothetical counter‐factual that has neither flow‐regulating benefits nor any losses. These two supply values, representing land use end‐members, create an envelope that defines the water‐supply service and bounds the effect of landscape change on water supply. These bounds can be used to discriminate between water supplies that may be vulnerable to landscape change and those that are unlikely to be affected. Two indices of the water‐supply service exhibit substantial variability across 593 watersheds in the continental United States. Rcross, the reservoir capacity at which landscape change is unlikely to have any detrimental effect on water supply has an interquartile range of 0.14–4% of mean‐annual‐streamflow. Steep, forested watersheds with seasonal climates tend to have greater service values, and the indices of water‐supply service are positively correlated with runoff ratios during the months with lowest flows.
Workshop : Formal and Distributional Perspectives on Meaning , Amsterdam Colloquium 2017

• A theory of lexical representation is key to compositional theories of the meaning of phrases and sentences. • This talk investigates the relation between two approaches to lexical representation: alternationbased lexical-conceptual semantics and usage-based distributional semantics. • Leading question: How robust are the expectations of lexical-conceptual semantics when compared against distributional semantic models? • We address this question with a case study on the meaning of German verbs prefixed with über (over) • Main insight: distributional semantics, when compared with the more traditional approach of lexical-conceptual semantics, provides a novel and exciting way to investigate the conceptual underpinnings of verb meaning in an empirically grounded and theoretically unbiased way
It's Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-Sharable Resources

Mobile edge computing is an emerging technology to offer resource-intensive yet delay-sensitive applications from the edge of mobile networks, where a major challenge is to allocate limited edge resources to competing demands. While prior works often make a simplifying assumption that resources assigned to different users are non-sharable, this assumption does not hold for storage resources, where users interested in services (e.g., data analytics) based on the same set of data/code can share storage resource. Meanwhile, serving each user request also consumes non-sharable resources (e.g., CPU cycles, bandwidth). We study the optimal provisioning of edge services with non-trivial demands of both sharable (storage) and non-sharable (communication, computation) resources via joint service placement and request scheduling. In the homogeneous case, we show that while the problem is polynomial-time solvable without storage constraints, it is NP-hard even if each edge cloud has unlimited communication or computation resources. We further show that the hardness is caused by the service placement subproblem, while the request scheduling subproblem is polynomial-time solvable via maximum-flow algorithms. In the general case, both subproblems are NP-hard. We develop a constant-factor approximation algorithm for the homogeneous case and efficient heuristics for the general case. Our trace-driven simulations show that the proposed algorithms, especially the approximation algorithm, can achieve near-optimal performance, serving 2–3 times more requests than a baseline solution that optimizes service placement and request scheduling separately.
Enabling cyber-physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber-security

Cyber-physical systems (CPS) help create new services and applications by revolutionising our world in different fields through their tight interactions and automated decisions. This is especially true with the ongoing increase in the number of physical things (sensors, actuators, smartphones, tablets, and so on) along with the explosive increase in the usage of online networking services and applications. Future fifth generation (5G) cellular networks will facilitate the enabling of CPS communications over current network infrastructure through different technologies such as device-to-device (D2D) communications. In this study, the authors discuss about the main challenges that cellular providers will face as the massive number of CPS devices attempt to access the cellular spectrum. A case study is presented on how to ease the spectrum access of these devices through D2D spatial spectrum sensing. Furthermore, the authors discuss about protecting these D2D links from eavesdropping, since security is becoming a critical aspect in the cyber-physical space, especially with the large amount of traffic that is constantly flowing through the network.