Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-term recovery of left ventricular function after primary angioplasty for acute myocardial infarction.

AIMS To investigate changes in left ventricular function in the first 6 months after acute myocardial infarction treated with primary angioplasty. To assess clinical variables, associated with recovery of left ventricular function after acute myocardial infarction. METHODS Changes in left ventricular function were studied in 600 consecutive patients with acute myocardial infarction, all treated with primary angioplasty. Left ventricular ejection fraction was measured by radionuclide ventriculography in survivors at day 4 and after 6 months. Patients with a recurrent myocardial infarction within the 6 months were excluded. RESULTS Successful reperfusion (TIMI 3 flow) by primary angioplasty was achieved in 89% of patients. The mean ejection fraction at discharge was 43.7%+/-11.4, whereas the mean ejection fraction after 6 months was 46.3%+/-11.5 (P<0.01). During the 6 months, the mean relative improvement in left ventricular ejection fraction was 6%. An improvement in left ventricular function was observed in 48% of the patients; 25% of the patients had a decrease, whereas in the remaining patients there was no change. After univariate and multivariate analysis, an anterior infarction location, an ejection fraction at discharge < or =40% and single-vessel disease were significant predictors of left ventricular improvement during the 6 months. CONCLUSIONS After acute myocardial infarction treated with primary angioplasty there was a significant recovery of left ventricular function during the first 6 months after the infarction. An anterior myocardial infarction, single-vessel coronary artery disease, and an initially depressed left ventricular function were independently associated with recovery of left ventricular function. Multivessel disease was associated with absence of functional recovery. Additional studies, investigating complete revascularization are needed, as this approach may potentially improve long-term left ventricular function.
TOWARDS AUTOMATING THE SELECTION OF GROUND CONTROL POINTS IN RADARSAT IMAGES USING A TOPOGRAPHIC DATABASE AND VECTOR-BASED DATA MATCHING

Although many software tools can be used to make geometric corrections and rectify images, none can efficiently select the ground control points (GCPs) needed by Radarsat users to georeference their images, rectify them and fuse these images. This paper introduces a new method to automatically identify GCPs in Radarsat images using a topographic database. First, different strategies are elaborated to fit different contexts, such as topography, cost and availability of data. These strategies are grouped into two approaches: vector-based data matching and raster-based data matching. Both approaches rely on matching feature classes, such as matching "road intersections," from the image with their equivalent on the topographic database. A user of this method can easily follow the various steps of the GCPs selection process with the support of software tools. This method is illustrated using the example of selecting GCPs with the feature class "water body" and the vector-based matching approach.
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning

This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collection is often so large that it is difficult if not unrealistic to utilize those concepts directly, due to the domain-specific limitations of available space or time. This naturally yields the need for concept reduction. In this paper, we introduce the novel problem of concept sampling: to find the optimal subset of a large collection of mixed concepts in advance so that the performance of future decision making can be best preserved by selectively combining the concepts remained in the subset. The problem is formulized as an optimization process based on our derivation of a target function, which ties a clear connection between the composition of the concept subset and the expected error of future decision making upon the subset. Then, based on this target function, a sampling algorithm is developed and its effectiveness is discussed. Extensive empirical studies suggest that, the proposed concept sampling method well preserves the performance of decision making while dramatically reduces the number of concepts maintained and thus justify its usefulness in handling large-scale mixed concepts.
V8 Storming: How Far Should Two Ideas Be?

All innovative ideas are said to be pairings of existing ideas. In collaborative ideation, various methods are used to suggest words for stimulating ideation based on the theory that suggesting strongly related words to the ideation topic will activate and enhance the ideation. However, the relationship between the words suggested by the system and the words that users associate remains unclear. Solving this issue will help selecting words suggestion in computer-supported ideation systems, in which the information flow is fluid and, therefore, users have strictly limited time for interaction. To address this issue, we studied the relationship between pairs of words suggested by computer and the quantity of associated ideas by users. We also conducted a user study on practical applications.
Ordering of water molecules between phospholipid bilayers visualized by coherent anti-Stokes Raman scattering microscopy

We demonstrate ordered orientation of the hydration water at the surface of phospholipid bilayers by use of coherent anti-Stokes Raman scattering (CARS) microscopy, a highly sensitive vibrational imaging method recently developed. We investigated negatively charged POPS (1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-l-serine) and neutral POPC (1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine) multilamellar onions dispersed in deuterated dodecane. The imaging contrast based on the CARS signal from the H2O stretching vibration shows a clear dependence on the excitation field polarization. Our results provide direct experimental evidence that water molecules close to the phospholipid bilayer surface are ordered with the symmetry axis along the direction normal to the bilayer. Moreover, the amount of ordered water molecules depends on the lipid polar group. The spectral profile for the inter-lamellar water shows that the water molecules bound to the bilayer surface are less hydrogen-bonded and exhibit a higher vibrational frequency than bulk water.
Sentiment classification for stock news

Web news articles play an important role in stock market. Sentiment classification of news articles can help the investors make investment decisions more efficiently. In this paper, we implemented an approach of Chinese new words detection by using N-gram model and applied the result for Chinese word segmentation and sentiment classification. Appraisal theory was introduced into sentiment analysis and Naive Bay es, K-nearest Neighbor and Support Vector Machine were used as classification algorithms. Our method was used for a Chinese stock news data set. The best accuracy reaches 82.9% in all experiments. Additionally, we developed a prototype system to demonstrate our work.
SOURCE AND EFFECT OF ACID ROCK DRAINAGE IN THE SNAKE RIVER WATERSHED, SUMMIT COUNTY, COLORADO

The Snake River Watershed in Summit County, Colorado has both anthropogenic (historical mining) and natural (the weathering of disseminated pyrite) sources of acid rock drainage (ARD). Stream waters in this system are typically acidic with elevated metal concentrations, streambeds are coated in hydrous metal oxides and aquatic biota is severely limited. The natural source of ARD was found to be the weathering of pyrite disseminated throughout the eastern side of the upper Snake River basin. The predominant anthropogenic source was the Pennsylvania Mine and its vicinity on Peru Creek (a major tributary of the Snake River). Surface waters and lateral inflows were both significant sources of ARD, with lateral flows providing the majority of mass loading at points along the stream reach. Tributary waters often had very different chemistry from lateral inflows as a result of varying exposure to rock, soils, organic matter and other solutes. Temporal variations in lateral inflows were apparent, with greater lateral flows resulting from a period of increased precipitation. Confluences were critical to the transport of metals and acidity as tributary waters and the majority of lateral inflows entered the stream in iv these regions. Additionally, much of the reactive chemistry of metals occurs in confluence zones where waters of differing chemistry mix. Samples collected in the upper Snake River revealed diel variations in iron (Fe) and copper (Cu) concentrations that were most likely the result of oxide formation, co-precipitation and iron photochemistry. Toxic concentration levels were present at several sites for Fe and Cu during only portions of the day. Metal oxides were present at all sampling sites in the watershed with the most significant deposition occurring in confluence zones. Periphyton communities were shown to be severely stressed throughout the watershed with only minimal biomass present at all sampling sites. Concentration data along the Snake River and Peru Creek revealed that both natural and anthropogenic sources of ARD led to the presence of toxic levels of dissolved metals and metal oxide deposition in the watershed. v ACKNOWLEDGEMENTS This thesis is the result of the support and assistance of many individuals and organizations. I would first like to thank my advisor Diane McKnight for her guidance and for valuing her students' diverse backgrounds. Diane's seemingly innate ability to understand and perceive patterns in natural systems astounded me throughout my studies and helped bring focus to this research. I'm also grateful to my thesis committee members, …
Revenue management: Models and methods

Revenue management is the collection of strategies and tactics firms use to scientifically manage demand for their products and services. The practice has grown from its origins in airlines to its status today as a mainstream business practice in a wide range of industry areas, including hospitality, energy, fashion retail, and manufacturing. This article provides an introduction to this increasingly important subfield of operations research, with an emphasis on use of simulation. Some of the contents are based on excerpts from the book The Theory and Practice of Revenue Management (Talluri and van Ryzin 2004a), written by the first two authors of this article.
Fabrication of Magnetic Force Microscopy Tips via Electrodeposition and Focused Ion Beam Milling

A method is described for the fabrication of magnetic force microscopy tips via localized electrodeposition and focused ion beam milling departing from commercial tapping mode tips. Very high aspect ratios and interacting magnetic moments are possible without altering significantly the tapping resonant frequency of the cantilever. These tips can achieve high magnetic resolution at room temperature and open atmosphere. They can also be fabricated into any shape, with applications for ferromagnetic resonance measurements and nano-imprinting.
RCU Usage In the Linux Kernel : One Decade Later

Read-copy update (RCU) has been used in the Linux kernel for more than a decade, raising the question of exactly what it is used for. To answer this question, we brieﬂy survey use of RCU in the Linux kernel, addressing the why, where, and how of its usage. This document also includes a novel graphical depiction of the relationships among several patterns of RCU usage.
Vision-Based Learning for Real Robot: Towards RoboCup

The authors have applied reinforcement learning method to a mobile robot with vision system. We selected a task for the robot from skills for playing soccer. In the first stage, a robot learned to shoot a ball into a goal. In the second stage , we set up an opponent just before the goal, that is, a goal keeper, and make the robot learn to shoot a ball into a goal avoiding the goal keeper. This paper describes several research issues for RoboCup with real robots along with our research projects.
Timing of the initiation of the Jurassic Yanshan movement on the North China Craton: evidence from sedimentary cycles, heavy minerals, geochemistry, and zircon U–Pb geochronology

A series of significant geological changes indicated by deformation, magmatic–metallogenic systems, and the climate and environment occurred in East Asia during Late Jurassic to Early Cretaceous time, but the timing and development of the ‘Yanshan movement’ on the north margin of the North China Craton has not been well-established. Based on the evidence of tectonic deformation and magmatic activity, previous studies resulted in two views of the beginning of the Yanshan movement: Early Jurassic vs. late Middle Jurassic. In this work, the timing of the initial Yanshan movement was investigated by examining the Jurassic Chenjiabangou section in the Ningwu–Jingle basin overlying the north-central part of the North China Craton. The timing of the initial Yanshan movement was constrained by restoration of stream flow directions, determination of boundaries of sedimentary cycles, identification of heavy mineral assemblages in clastic rocks, quantification of changes in chemical compositions, and zircon U–Pb isotope dating. The results indicate that the basal conglomerates of the Middle Jurassic Yungang Formation (Bathonian) mark the beginning of the Yanshan movements. Evidence supporting this conclusion includes the following. (1) The switch from transgressive lacustrine deposition to regressive lacustrine deposition in the Yungang Formation sedimentary succession indicates a change from extension to compression, possibly reflecting uplift. (2) Early-stage clastic rocks rich in quartz and feldspar are replaced by feldspar detritus in late-stage clastic rocks; the heavy mineral assemblage dominated by zircon at the early stages changed to garnet-dominated assemblage upsection. Moreover, the concentrations of CaO, MgO, CO2, and Fe2O3 + FeO and the Fe2O3/FeO ratio changed abruptly near the basal conglomerates of the Middle Jurassic Yungang Formation, suggesting increased denudation. (3) Conglomerates at the bottom of the Middle Jurassic Yungang Formation were deposited approximately 168 million years ago, as inferred from the age of zircons in tuffaceous micrite (160.6 ± 0.55 Ma) at the bottom of the Upper Jurassic Tianchihe Formation (Oxfordian) and the age of zircons in pyroclastic rocks (179.2 ± 0.79 Ma) in the Lower Jurassic Yongdingzhuang Formation (Toarcian). These lines of evidence indicate that initial Jurassic Yanshan movement began 168 million years ago during Middle Jurassic time.
EasiDSlT: A Two-Layer Data Association Method for Multitarget Tracking in Wireless Sensor Networks

The technology of multitarget tracking (MTT) has been widely and deeply researched in many fields, such as the radar system and wireless sensor networks (WSNs). However, how to develop a lightweight data association algorithm in a decentralized way is still a challenge, particularly considering the fact that WSNs are resource constrained. This paper presents a two-layer data association method for MTT applications, which are based on low-cost WSNs. To improve the association accuracy of the first layer of the data association, this paper proposes a lightweight reasoning method based on the evidence theory. The example analysis indicates that it can also handle the problem of highly conflicting information fusion. The second layer adopts a Bayesian filtering algorithm. By adoption of the two-layer data association, the computation cost of data association in the MTT technology is balanced in intracluster nodes. Simulation experiments show that the data association algorithm has great performance.
Predicting amphipod toxicity from sediment chemistry using logistic regression models

Individual chemical logistic regression models were developed for 37 chemicals of potential concern in contaminated sediments to predict the probability of toxicity, based on the standard 10‐d survival test for the marine amphipods Ampelisca abdita and Rhepoxynius abronius. These models were derived from a large database of matching sediment chemistry and toxicity data, which includes contaminant gradients from a variety of habitats in coastal North America. Chemical concentrations corresponding to a 20, 50, and 80% probability of observing sediment toxicity (T20, T50, and T80 values) were calculated to illustrate the potential for deriving application‐specific sediment effect concentrations and to provide probability ranges for evaluating the reliability of the models. The individual chemical regression models were combined into a single model, using either the maximum (PMax model) or average (PAvg model) probability predicted from the chemicals analyzed in a sample, to estimate the probability of toxicity for a sample. The average predicted probability of toxicity (from the PMax model) within probability quartiles closely matched the incidence of toxicity within the same ranges, demonstrating the overall reliability of the PMax model for the database that was used to derive the model. The magnitude of the toxic effect (decreased survival) in the amphipod test increased as the predicted probability of toxicity increased. Users have a number of options for applying the logistic models, including estimating the probability of observing acute toxicity to estuarine and marine amphipods in 10‐d toxicity tests at any given chemical concentration or estimating the chemical concentrations that correspond to specific probabilities of observing sediment toxicity.
The Horus WLAN location determination system

We present the design and implementation of the Horus WLAN location determination system. The design of the Horus system aims at satisfying two goals: high accuracy and low computational requirements. The Horus system identifies different causes for the wireless channel variations and addresses them to achieve its high accuracy. It uses location-clustering techniques to reduce the computational requirements of the algorithm. The lightweight Horus algorithm helps in supporting a larger number of users by running the algorithm at the clients.We discuss the different components of the Horus system and its implementation under two different operating systems and evaluate the performance of the Horus system on two testbeds. Our results show that the Horus system achieves its goal. It has an error of less than 0.6 meter on the average and its computational requirements are more than an order of magnitude better than other WLAN location determination systems. Moreover, the techniques developed in the context of the Horus system are general and can be applied to other WLAN location determination systems to enhance their accuracy. We also report lessons learned from experimenting with the Horus system and provide directions for future work.
Implementation of the FIFA 11+ football warm up program: How to approach and convince the Football associations to invest in prevention

In the last decade, injury prevention has received a lot of attention in sports medicine, and recently international sports-governing bodies, such as the International Olympic Committee, declared the protection of the athletes’ health as one of their major objectives. In 1994, the Fédération Internationale de Football Association (FIFA) established its Medical Assessment and Research Centre (F-MARC) with the aim ‘to prevent football injuries and to promote football as a health-enhancing leisure activity, improving social behaviour’. Since then, FIFA has developed and evaluated its injury-prevention programmes ‘The 11’ and ‘FIFA 11+’ have demonstrated in several scientific studies how simple exercise-based programmes can decrease the incidence of injuries in amateur football players. This paper summarises 18 years of scientific and on-field work in injury prevention by an international sports federation (FIFA), from formulating the aim to make its sport safer to the worldwide dissemination of its injury-prevention programme in amateur football.
Distinct Expression/Function of Potassium and Chloride Channels Contributes to the Diverse Volume Regulation in Cortical Astrocytes of GFAP/EGFP Mice

Recently, we have identified two astrocytic subpopulations in the cortex of GFAP-EGFP mice, in which the astrocytes are visualized by the enhanced green–fluorescent protein (EGFP) under the control of the human glial fibrillary acidic protein (GFAP) promotor. These astrocytic subpopulations, termed high response- (HR-) and low response- (LR-) astrocytes, differed in the extent of their swelling during oxygen-glucose deprivation (OGD). In the present study we focused on identifying the ion channels or transporters that might underlie the different capabilities of these two astrocytic subpopulations to regulate their volume during OGD. Using three-dimensional confocal morphometry, which enables quantification of the total astrocytic volume, the effects of selected inhibitors of K+ and Cl− channels/transporters or glutamate transporters on astrocyte volume changes were determined during 20 minute-OGD in situ. The inhibition of volume regulated anion channels (VRACs) and two-pore domain potassium channels (K2P) highlighted their distinct contributions to volume regulation in HR-/LR-astrocytes. While the inhibition of VRACs or K2P channels revealed their contribution to the swelling of HR-astrocytes, in LR-astrocytes they were both involved in anion/K+ effluxes. Additionally, the inhibition of Na+-K+-Cl− co-transporters in HR-astrocytes led to a reduction of cell swelling, but it had no effect on LR-astrocyte volume. Moreover, employing real-time single-cell quantitative polymerase chain reaction (PCR), we characterized the expression profiles of EGFP-positive astrocytes with a focus on those ion channels and transporters participating in astrocyte swelling and volume regulation. The PCR data revealed the existence of two astrocytic subpopulations markedly differing in their gene expression levels for inwardly rectifying K+ channels (Kir4.1), K2P channels (TREK-1 and TWIK-1) and Cl− channels (ClC2). Thus, we propose that the diverse volume changes displayed by cortical astrocytes during OGD mainly result from their distinct expression patterns of ClC2 and K2P channels.
Predicting Protein–Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids

Information about the interface sites of Protein–Protein Interactions (PPIs) is useful for many biological research works. However, despite the advancement of experimental techniques, the identification of PPI sites still remains as a challenging task. Using a statistical learning technique, we proposed a computational tool for predicting PPI interaction sites. As an alternative to similar approaches requiring structural information, the proposed method takes all of the input from protein sequences. In addition to typical sequence features, our method takes into consideration that interaction sites are not randomly distributed over the protein sequence. We characterized this positional preference using protein complexes with known structures, proposed a numerical index to estimate the propensity and then incorporated the index into a learning system. The resulting predictor, without using structural information, yields an area under the ROC curve (AUC) of 0.675, recall of 0.597, precision of 0.311 and accuracy of 0.583 on a ten-fold cross-validation experiment. This performance is comparable to the previous approach in which structural information was used. Upon introducing the B-factor data to our predictor, we demonstrated that the AUC can be further improved to 0.750. The tool is accessible at http://bsaltools.ym. edu.tw/predppis.