Miracle-dz/UniFAR-FTUs huggingface dataset:
Engagement in higher education. Who’s not engaging?

Just as undergraduates need to develop critical capacities, so as to scrutinise and justify beliefs, decisions and actions (Barnett, 1997), higher education teachers need to consider critically their own assumptions about and orientations towards teaching (Gow and Kember, 1993). These are often unexamined and unchallenged, so teachers can remain unaware of implications for students’ learning (Mezirow, 1990; Larrivee, 2000). Regarding subject disciplinary literacy development, relevant assumptions concern several important challenges: the complexity and opaqueness of disciplinary reading and writing practices (Lea and Street, 1998; Meyer and Land, 2003; Haggis, 2003; Gourlay, 2009); issues concerning engagement and assumed student deficits (Mann, 2001; Haggis, 2003; 2006); and the potentially alienating environment, norms, values and practices of higher education (Mann, 2001; Haggis, 2006; Bryson and Hand, 2007). This paper discusses these challenges and reports on a small-scale study investigating the context of students’ reading and writing difficulties at a London-based, Russell Group university. Methods included analysis of data from interviews with academics and student discussion groups, and from teaching observations. The findings suggest that the teaching orientations of learning facilitation and knowledge transmission, and their links to different learning approaches and outcomes, continue to shape many undergraduates’ experience, for better or worse.The paper contributes to understanding these links using Self-Determination Theory (Ryan and Deci, 2000). Accordingly, teaching oriented towards learning facilitation, but not knowledge transmission, fosters students’ feelings of competence, autonomy and relatedness, assisting internalisation of externally regulated behaviours, and increasing preparedness for engaged, self-directed learning (Niemiec and Ryan, 2009).
The Role of Shape in Semantic Memory Organization of Objects

Visual information contributes fundamentally to the process of object categorization. The present study investigated whether the degree of activation of visual information in this process is dependent on the contextual relevance of this information. We used the Proactive Interference (PI-release) paradigm. In four experiments, we manipulated the information by which objects could be categorized and subsequently be retrieved from memory. The pattern of PI-release showed that if objects could be stored and retrieved both by (non-perceptual) semantic and (perceptual) shape information, then shape information was overruled by semantic information. If, however, semantic information could not be (satisfactorily) used to store and retrieve objects, then objects were stored in memory in terms of their shape. The latter effect was found to be strongest for objects from identical semantic categories.
Multilevel Aggregation Methods for Small-World Graphs with Application to Random-Walk Ranking

We describe multilevel aggregation in the specific context of using Markov chains to rank the nodes of graphs. More generally, aggregation is a graph coarsening technique that has a wide range of possible uses regarding information retrieval applications. Aggregation successfully generates efficient multilevel methods for solving nonsingular linear systems and various eigenproblems from discretized partial differential equations, which tend to involve mesh-like graphs. Our primary goal is to extend the applicability of aggregation to similar problems on small-world graphs, with a secondary goal of developing these methods for eventual applicability towards many other tasks such as using the information in the hierarchies for node clustering or pattern recognition. The nature of small-world graphs makes it difficult for many coarsening approaches to obtain useful hierarchies that have complexity on the order of the number of edges in the original graph while retaining the relevant properties of the original graph. Here, for a set of synthetic graphs with the small-world property, we show how multilevel hierarchies formed with non-overlapping strength-based aggregation have optimal or near optimal complexity. We also provide an example of how these hierarchies are employed to accelerate convergence of methods that calculate the stationary probability vector of large, sparse, irreducible, slowly-mixing Markov chains on such small-world graphs. The stationary probability vector of a Markov chain allows one to rank the nodes in a graph based on the likelihood that a long random walk visits each node. These ranking approaches have a wide range of applications including information retrieval and web ranking, performance modeling of computer and communication systems, analysis of social networks, dependability and security analysis, and analysis of biological systems.
Concept and prototype of protein-ligand docking simulator with force feedback technology

A novel concept for a protein-ligand docking simulator using Virtual Reality (VR) technologies, in particular the tactile sense technology, was designed and a prototype was developed. Most conventional docking simulators are based on numerical differential calculations of the total energy between a protein and a ligand. However, the basic concept of our method differs from that of conventional simulators. Our design utilizes the force between a ligand and a protein instead of the total energy. The most characteristic function of the system is its ability to enable the user to 'touch' and sense the electrostatic potential field of a protein molecule. The user can scan the surface of a protein using a globular probe, which is given an electrostatic charge, and is controlled by a force feedback device. The electrostatic force between the protein and the probe is calculated in real time and immediately fed back into the force feedback device. The user can easily search interactively for positions where the probe is strongly attracted to the force field. Such positions can be regarded as candidate sites where functional groups of ligands corresponding to the probe can bind to the target protein. Certain limitations remain; for example, only twenty protein atoms can be used to generate the electrostatic field. Furthermore, the system can only use globular probes, preventing drug molecules or small chemical groups from being simulated. These limitations are the result of our insufficient computer resources. However, our prototype system has the potential to become a novel application method as well as being applicable to conventional VR technologies, especially to force feedback technologies.
IN T Adaptive Parameter Optimization for Real-time Tracking

Adaptation of a tracking procedure combined in a common way with a Kalman filter is formulated as an constrained optimization problem, where a trade-off between precision and loss-of-lock probability is explicitly taken into account. While the tracker is learned in order to minimize computational complexity during a learning stage, in a tracking stage the precision is maximized online under a constraint imposed by the loss-of-lock probability resulting in an optimal setting of the tracking procedure. We experimentally show that the proposed method converges to a steady solution in all variables. In contrast to a common Kalman filter based tracking, we achieve a significantly lower state covariance matrix. We also show, that if the covariance matrix is continuously updated, the method is able to adapt to a different situations. If a dynamic model is precise enough the tracker is allowed to spend a longer time with a fine motion estimation, however, if the motion gets saccadic, i.e. unpredictable by the dynamic model, the method automatically gives up the precision in order to avoid loss-of-lock.
Immediate Reward Reinforcement Learning for Projective Kernel Methods

We extend a reinforcement learning algorithm which has previously been shown to cluster data. We have previously applied the method to unsupervised projection methods, principal component analy- sis, exploratory projection pursuit and canonical correlation analysis. We now show how the same methods can be used in feature spaces to per- form kernel principal component analysis and kernel canonical correlation analysis.
Cholesteryl Esters Accumulate in the Heart in a Porcine Model of Ischemia and Reperfusion

Myocardial ischemia is associated with intracellular accumulation of lipids and increased depots of myocardial lipids are linked to decreased heart function. Despite investigations in cell culture and animal models, there is little data available on where in the heart the lipids accumulate after myocardial ischemia and which lipid species that accumulate. The aim of this study was to investigate derangements of lipid metabolism that are associated with myocardial ischemia in a porcine model of ischemia and reperfusion. The large pig heart enables the separation of the infarct area with irreversible injury from the area at risk with reversible injury and the unaffected control area. The surviving myocardium bordering the infarct is exposed to mild ischemia and is stressed, but remains viable. We found that cholesteryl esters accumulated in the infarct area as well as in the bordering myocardium. In addition, we found that expression of the low density lipoprotein receptor (LDLr) and the low density lipoprotein receptor-related protein 1 (LRP1) was up-regulated, suggesting that choleteryl ester uptake is mediated via these receptors. Furthermore, we found increased ceramide accumulation, inflammation and endoplasmatic reticulum (ER) stress in the infarcted area of the pig heart. In addition, we found increased levels of inflammation and ER stress in the myocardium bordering the infarct area. Our results indicate that lipid accumulation in the heart is one of the metabolic derangements remaining after ischemia, even in the myocardium bordering the infarct area. Normalizing lipid levels in the myocardium after ischemia would likely improve myocardial function and should therefore be considered as a target for treatment.
Power efficient and sparse spanner for wireless ad hoc networks

Due to the limited resources available in the wireless ad hoc networking nodes, the scalability is crucial for network operations. One effective approach is to maintain only a sparse spanner of a linear number of links while still preseving the power-efficient route for any pair of nodes. For any spanner G, its power stretch factor is defined as the maximum ratio of the minimum power needed to support any link in this spanner to the least necessary. In this paper, we first consider several well-known proximity graphs including the relative neighborhood graph, Gabriel graph and Yao graph. These graphs are sparse and can be constructed locally in an efficient way. We show that the power stretch factor of the Gabriel graph is always one, and the power stretch factor of the Yao graph is bounded by a constant while the power stretch factor of the relative neighborhood graph could be as large as the network size minus one. Notice that all of these graphs do not have constant degrees. We further propose another sparse spanner that has both constant degree and constant power stretch factor. An efficient local algorithm is presented for the construction of this spanner.
Father as a Caregiver: The Thipology of Father Parenting Style While Mother doesn’t Exist and the Effect to Child Autonomy

This study investigated the characteristics (place and duration) of the vowel contrasts produced by Indonesian students of English and whether they contrasted the lax and tense vowels. Ten female students participated in this study. The data were collected through a listening and speaking task focusing on the vowel contrasts and analyzed using acoustic analysis. The findings showed that the participating students produced the /u/ and /ʊ/ at the relatively expected locations and contrasted them, but not the other vowel contrasts (/ɛ/ and /æ/ and /i/ and /ɪ/). In terms of duration, the vowels produced by the participants were inconsistent, and they were not contrasted. These findings are interpreted as a support to the previous study, and advocate for more pronunciation instruction through listening exercise to expose the difference of the lax and tense vowels.
The Chandra Deep Survey of the Hubble Deep Field North Area. IV. An Ultradeep Image of the HDF-N

We present results from a 479.7 ks Chandra exposure of the Hubble Deep Field North (HDF-N) and its immediate vicinity. In this X-ray image, the deepest ever reported with a 0.5–2.0 keV flux limit of ≈4.9 × 10-17 ergs cm-2 s-1, four new HDF-N X-ray sources are detected, bringing the total number of such sources to 12. The new sources include two optically bright (R = 18.3–18.8) low-redshift (z < 0.15) galaxies, a Fanaroff-Riley I radio galaxy, and an edge-on spiral galaxy hosting either a powerful starburst and/or a low-luminosity active galactic nucleus (AGN). Notably, X-ray emission has now been detected from all luminous galaxies (MV < -18) with z < 0.15 known in the HDF-N. We have also detected the remarkable microjansky radio source VLA J123642.09+621331.4, which is located just outside the HDF-N and has a likely redshift of z = 4.424. The observed X-ray emission supports the presence of an AGN in this object, and its X-ray–to–optical flux ratio (i.e., αox) is consistent with what is seen for low-redshift AGNs. We have detected X-ray variability from two of the previously known HDF-N X-ray sources, and spectral fitting shows clear evidence for X-ray absorption in the brightest X-ray source in the HDF-N, a z = 0.960 broad-line AGN with associated Mg II absorption. Stacking analyses of optically bright HDF-N galaxies not individually detected in X-rays have provided estimates of their average X-ray fluxes, and we find that the X-ray luminosities of "normal" spiral galaxies at z ≈ 0.5 are not more than a factor of ≈2 larger (per unit B-band luminosity) than those of spiral galaxies in the local universe (z < 0.01). This constrains models for the evolution of low-mass X-ray binary populations in galaxies in response to the declining cosmic star formation rate. Monte Carlo simulations support the validity of the stacking analyses and show that the Chandra Advanced CCD Imaging Spectrometer (ACIS) performs source detection well even with effective exposure times of ≈8 Ms.
Estimating Internal Wave Energy Fluxes in the Ocean

Abstract Energy flux is a fundamental quantity for understanding internal wave generation, propagation, and dissipation. In this paper, the estimation of internal wave energy fluxes 〈u′p′〉 from ocean observations that may be sparse in either time or depth are considered. Sampling must be sufficient in depth to allow for the estimation of the internal wave–induced pressure anomaly p′ using the hydrostatic balance, and sufficient in time to allow for phase averaging. Data limitations that are considered include profile time series with coarse temporal or vertical sampling, profiles missing near-surface or near-bottom information, moorings with sparse vertical sampling, and horizontal surveys with no coherent resampling in time. Methodologies, interpretation, and errors are described. For the specific case of the semidiurnal energy flux radiating from the Hawaiian ridge, errors of ∼10% are typical for estimates from six full-depth profiles spanning 15 h.
Walking Gait Generation with Foot Placement Control for the HOAP-3 Humanoid Robot

While biology-inspired approaches for computing walking gaits are often based on joint oscillators, whenever precise control of feet placement is needed a more specific approach based on explicit footstep control is usually employed. This paper presents a simple hybrid approach based on a gait generator procedure that generates a patterned walking gait based on trajectories to be followed by the feet and the center of mass of the robot. While the trajectories can be modulated according to high-level parameters offering realtime control of the produced gait, the trajectories can also be modified in order to achieve precise foot placements. Robust balance is achieved by integrating a reactive realtime module which adjusts the overall posture of the robot according to the readings of the feet pressure sensors. We apply our gait generation method to the HOAP-3 humanoid platform and several results are presented.
Binding faces and names in working memory requires additional attentional resources

In this study we used the dual-task paradigm to investigate the involvement of attention in the binding of verbal and visual information in working memory. A secondary task, backward counting by threes (BCT), was performed during the retention interval of the primary recognition task based on either visual or verbal information or the binding of both. The BCT affected accuracy and response time. Accuracy was affected only in the binding condition; response time was affected only in the isolated information condition. Together these results suggest that storing integrated visual and verbal information requires more attentional resources than storing information received separately. These results are discussed in terms of involvement of the central executive in storing integrated information in working memory.
Single Center Experience With Hyperthermic Intraperitoneal Chemotherapy

Purpose Cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) have been proposed for controlling peritoneal seeding metastasis in some kinds of cancers, including those of colorectal origin, but their safety and oncological benefits are subjects of debate. We present our early experience with those procedures. Methods Data were retrospectively collected from all patients with peritoneal carcinomatosis (PC) and pseudomyxoma peritonei (PMP) treated using CRS and HIPEC at Yonsei Cancer Center between July 2014 and July 2015. Short-term outcomes and risk factors for postoperative complications were analyzed. Results Twenty-three patients with PC (n = 18) and PMP (n = 5) underwent CRS and HIPEC. Median follow-up and age were 2 months and 54 years, respectively. The median peritoneal carcinomatosis index score was 15, and CC0-1 was achieved in 78.3% of all patients. The median operation time and bleeding loss were 590 minutes and 570 mL, respectively. Grade-IIIa/grade-IIIb complications occurred in 4.3% (n = 1)/26.1% (n = 6) of the patients within 30 days postoperatively, and no 30-day mortalities were reported. Factors related to postoperative complications with CRS and HIPEC were number of organ resection (P = 0.013), longer operation time (P < 0.001), and amount of blood loss (P = 0.003). All patients treated with cetuximab for recurred colorectal cancer had grade-III postoperative complication. Conclusion Our initial experience with CRS and HIPEC presented about 30% grade-III postoperative complications. Therefore, expert surgeons need to perform those procedures with great caution in selected patients who might benefit from it.
Mining Context Information from Consumer ’ s Reviews

Consumer reviews, opinions and shared experiences are popular ways to express preferences and interest of tourists in most of the popular tourism sites inside of the typical valuation of product using any valuation scale. The most critical issue on opinion mining is how to extract information that can be understood and utilized by computers from written text by users/consumers in natural language. Several approaches using artificial intelligence have been used to deal with this problem even so; problem that has been less addressed but not less important is the identification of context information embedded in consumer's opinions due the arduous task of processing natural language in which reviews have been expressed. This paper addresses this problem based on classification text mining techniques to identify review's sentences containing contextual information to be then processing and incorporated in a recommender system. This approach was exemplified by a case study using reviews from www.tripadvisor. com.
Building extraction in urban scenes from high-resolution InSAR data and optical imagery

Modern space borne SAR sensors provide geometric resolution of one meter, airborne systems even higher. In data of this kind many features of urban objects become visible, which were beyond the scope of radar remote sensing only a few years ago. However, layover and occlusion issues inevitably arise in undulated terrain and urban areas because of the side-looking SAR sensor principle. In order to support interpretation, SAR data are often analyzed using additional complementary information provided by maps or other remote sensing imagery. The focus of this paper is on building extraction in urban scenes by means of combined InSAR data and optical aerial imagery.
Vision/INS Integrated Navigation System for Poor Vision Navigation Environments

In order to improve the performance of an inertial navigation system, many aiding sensors can be used. Among these aiding sensors, a vision sensor is of particular note due to its benefits in terms of weight, cost, and power consumption. This paper proposes an inertial and vision integrated navigation method for poor vision navigation environments. The proposed method uses focal plane measurements of landmarks in order to provide position, velocity and attitude outputs even when the number of landmarks on the focal plane is not enough for navigation. In order to verify the proposed method, computer simulations and van tests are carried out. The results show that the proposed method gives accurate and reliable position, velocity and attitude outputs when the number of landmarks is insufficient.
Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval

The Transliterated Search track has been organized for the third year in FIRE-2015. The track had three subtasks. Subtask I was on language labeling of words in code-mixed text fragments; it was conducted for 8 Indian languages: Bangla, Gujarati, Hindi, Kannada, Malayalam, Marathi, Tamil, Telugu, mixed with English. Subtask II was on ad-hoc retrieval of Hindi film lyrics, movie reviews and astrology documents, where both the queries and documents were either in Hindi written in Devanagari or in Roman transliterated form. Subtask III was on transliterated question answering where the documents as well as questions were in Bangla script or Roman transliterated Bangla. A total of 24 runs were submitted by 10 teams, of which 14 runs were for subtask I and 10 runs for subtask II. There were no participation for Subtask III. The overview presents a comprehensive report of the subtasks, datasets, runs submitted and performances.
Why Aren't More Families Buying Life Insurance?

This paper explores life insurance holdings from a general equilibrium perspective. Drawing on the data explored in Chambers, Schlagenhauf, and Young (2003), we calibrate an overlapping generation’s life cycle economy with incomplete asset markets to match facts regarding the uncertainty of income and demographics. We then estimate that life insurance holdings for the purpose of smoothing family consumption are so large that they constitute a puzzle from the perspective of standard economic theory. Furthermore, the welfare gains from a life insurance market are concentrated in the minds of households who use the real world market very little.