Miracle-dz/UniFAR-FTUs huggingface dataset:
Mentoring Impact on Leader Efficacy Development: A Field Experiment

While practitioners and scholars tout the importance of mentorship in leader development, few studies have empirically determined whether mentoring actually positively impacts a leader’s development, and if so, in what ways. In a longitudinal field experiment, we examined how a targeted mentorship program that unfolded over 6 months enhanced the development of proteges’ leader efficacy and performance. Results showed that the targeted mentorship intervention increased proteges’ level of leader efficacy more than a comparison intervention that was based on a more eclectic leadership education program delivered in a group setting. Leader efficacy then predicted rated leader performance. Both proteges’ preferences for feedback and trust in the mentor served as important moderators in contributing to the development of leader efficacy. Findings from this longitudinal field experiment could be used by educational institutions and other organizations to enhance their mentorship programs in content, focus, and evaluation of impact.
An improved unconditionally-stable FDTD method based on the split-step scheme with low dispersion

An improved unconditionally-stable finite-difference time-domain (FDTD) method based on the split-step scheme is presented, which provides low numerical dispersion. Firstly, symmetric operator and uniform splitting are adopted to split the matrix derived from the classical Maxwell's equations into four sub-matrices. Simultaneously, two controlling parameters are introduced to decrease the numerical dispersion error. Accordingly, the time step is divided into four sub-steps. Secondly, theoretical proof of the unconditional stability is given. Thirdly, the process of obtaining the controlling parameters is shown. In addition, the error of the numerical dispersion can be decreased significantly. Finally, numerical experiments are presented to substantiate the proposed method.
A digitally reconfigurable auto amplitude calibration method for wide tuning range VCO design

A wide tuning range LC VCO with auto amplitude control is designed in 0.13-µm CMOS. Phase noise optimized design for the wide tuning range VCO is discussed and a PVT insensitive digitally reconfigurable auto amplitude calibration (AAC) circuit is used to stabilize the phase noise in the whole wide band. The proposed AAC circuit with a code estimated FSM provides faster operation to get the optimum state than the conventional one. Transistor-level simulations show that the proposed AAC method improves phase noise performance by more than 10dB‥
Introduction to Corpus Linguistics and ELT

From its origins, Corpus Linguistics has had a strong link with language teaching. John Sinclair's impact on dictionary making and his pioneering name but a few). The common ground for all these approaches is that they are based on empirical evidence, thus leading to the elaboration of better quality learner input and providing teachers and researchers with a wider, fi ner perspective into language in use, that is, into the understanding of how language works in specifi c contexts. Corpus-Based Approaches to ELT presents work by leading linguists exploring different ways of applying corpus-based and corpus-informed research to language teaching environments. More specifi cally, the volume tackles three main areas of special interest today: the use of corpora for teaching English for Specifi c Purposes, pedagogically motivated uses of corpora, and the potential of corpora-mediated multimodal tools for the language learning context. The compilation, description and analysis of domain-specifi c corpora is one of the widest areas of research in corpus linguistics, especially as regards academic and professional settings. This book provides an in-depth analysis of academic and professional texts by means of corpus-based methodologies in order to enhance English for Specifi c Purposes (ESP) teaching. A wide perspective into ESP corpora is offered, as the chapters include written and spoken academic discourse, the use of English language in professional contexts, and the use of both native English speaker corpora and ESP learner corpora, that is, corpora in which learners attempt at producing professional texts. The second issue examined in this volume has to do with how English language teaching may benefi t from corpus data to improve language learner input (the so-called corpus-based and corpus-informed approaches) and the different ways in which corpora may aid in understanding learner and teacher discourse. In this sense, the volume illustrates the way corpora may be used directly in the classroom and how corpus research may be applied to inform syllabi and classroom materials. Finally, the third dimension refl ects on the role of corpus tools and multimodal devices, where corpora-based research plays a central role to inform teaching materials. Multimodal corpora are still in their infancy when compared to corpora where only one discourse mode is used. Challenges in this area lie not only in the design of such corpora, a diffi cult task per se, but also in the refl ection on how information is organized and connected among the different …
Network Self-organization explains the distribution of synaptic efficacies in neocortex

The distribution of synaptic efficacies in neocortex has an approximately lognormal shape. Many weak synaptic connections coexist with few very strong connections such that only 20% of synapses contribute 50% of total synaptic strength. Furthermore, recent evidence shows that weak connections fluctuate strongly while the few strong connections are relatively stable, suggesting them as a physiological basis for long-lasting memories. It remains unclear, however, through what mechanisms these properties of cortical networks arise. Here we show that lognormal-like synaptic weight distributions and the characteristic pattern of synapse stability can be parsimoniously explained as a consequence of network selforganization. We simulated a simple self-organizing recurrent neural network model (SORN) composed of binary threshold units. The network receives no external input or noise but self-organizes its connectivity structure solely through different forms of plasticity. Across a wide range of parameters, the network produces lognormal-like synaptic weight distributions and faithfully reproduces experimental data on synapse stability as a function of synaptic efficacy. Overall, our results suggest that the fundamental structural and dynamic properties of cortical networks arise from the self-organizing forces induced by different forms of plasticity.
Interaction and visualisation across multiple displays in ubiquitous computing environments

This paper describes the Universal Interaction Controller (UIC), a user interface framework and device designed to support interactions in ubiquitous computing environments, and the in-situ visualisation of ambient information in environments equipped with multiple heterogeneous displays. We describe the device and the infrastructure we have created to support it. We present the use of augmented reality to display information that is outside the bounds of traditional display surfaces.
Multibeam 3D Underwater SLAM with Probabilistic Registration

This paper describes a pose-based underwater 3D Simultaneous Localization and Mapping (SLAM) using a multibeam echosounder to produce high consistency underwater maps. The proposed algorithm compounds swath profiles of the seafloor with dead reckoning localization to build surface patches (i.e., point clouds). An Iterative Closest Point (ICP) with a probabilistic implementation is then used to register the point clouds, taking into account their uncertainties. The registration process is divided in two steps: (1) point-to-point association for coarse registration and (2) point-to-plane association for fine registration. The point clouds of the surfaces to be registered are sub-sampled in order to decrease both the computation time and also the potential of falling into local minima during the registration. In addition, a heuristic is used to decrease the complexity of the association step of the ICP from O(n2) to O(n). The performance of the SLAM framework is tested using two real world datasets: First, a 2.5D bathymetric dataset obtained with the usual down-looking multibeam sonar configuration, and second, a full 3D underwater dataset acquired with a multibeam sonar mounted on a pan and tilt unit.
A Geometric Comparison of Algorithms for Fusion Control in Stereoscopic HTDs

This paper concerns stereoscopic virtual reality displays in which the head is tracked and the display is stationary, attached to a desk, tabletop or wall. These are called stereoscopic HTDs (head-tracked displays). Stereoscopic displays render two perspective views of a scene, each of which is seen by one eye of the user. Ideally, the user's natural visual system combines the stereo image pair into a single, 3D perceived image. Unfortunately, users often have difficulty fusing the stereo image pair. Researchers use a number of software techniques to reduce fusion problems. This paper geometrically examines and compares a number of these techniques and reaches the following conclusions: In interactive stereoscopic applications, the combination of view placement, scale, and either false eye separation or /spl alpha/-false eye separation can provide fusion control that is geometrically similar to image shifting and image scaling. However, in stereo HTDs, image shifting and image scaling also generate additional geometric artifacts that are not generated by the other methods. We anecdotally link some of these artifacts to exceeding the perceptual limitations of human vision. While formal perceptual studies are still needed, geometric analysis suggests that image shifting and image scaling may be less appropriate than the other methods for interactive, stereo HTDs.
HER-2, gp100, and MAGE-1 Are Expressed in Human Glioblastoma and Recognized by Cytotoxic T Cells

It has recently been demonstrated that malignant glioma cells express certain known tumor-associated antigens, such as HER-2, gp100, and MAGE-1. To further determine the possible utilization of these antigens for glioma immunotherapy and as surrogate markers for specific tumor antigen cytotoxicity, we characterized the presence of mRNA and protein expression in 43 primary glioblastoma multiforme (GBM) cell lines and 7 established human GBM cell lines. HER-2, gp100, and MAGE-1 mRNA expression was detected in 81.4%, 46.5%, and 39.5% of the GBM primary cell lines, respectively. Using immunoreactive staining analysis by flow cytometry, HER-2, gp100, and MAGE-1 protein expression was detected in 76%, 45%, and 38% of the GBM primary cell lines, respectively. HLA-A1-restricted epitope specific for MAGE-1 peptide (EADPTGHSY) CTL clone B07 and HLA-A2-restricted epitope specific for HER-2 peptide (KIFGSLAFL) CTL clone A05 and gp100 peptide (ITDQVPFSV) CTL clone CK3H6 were used in this study. The specificity of CTL clone was verified by HLA/peptide tetramer staining. Three CTL clones could efficiently recognize GBM tumor cells in an antigen-specific and MHC class I-restricted manner. IFN-γ treatment can dramatically increase MHC class I expression of GBM tumor cells and significantly increase CTL recognition of tumor cells. Treatment with the DNA hypomethylating agent 5-aza-2′-deoxycytidine induced and up-regulated the mRNA expression of MAGE-1 and epitope presentation by autologous MHC. These data indicate that HER-2, gp100, and MAGE-1 could be used as tumor antigen targets for surrogate assays for antigen-specific CTLs or to develop antigen-specific active immunotherapy strategies for glioma patients.
THE PROBABILISTIC METHOD IN COMBINATORICS

1 The Probabilistic Method: Some First Examples 5 1.1 Lower Bounds on the Ramsey Number R(n, n) . 5 1.2 Tournaments and the Sk Property . 6 1.3 Dominating Sets . 8 1.4 The 1-2-3 Theorem . 9 1.5 Sum-Free Sets of Integers . 11
USENIX Association Proceedings of USITS ’ 03 : 4 th USENIX Symposium on Internet Technologies and Systems

Edge-Side Includes (ESI) is an open mark-up language that allows content providers to break their pages into fragments with individual caching characteristics. A page is reassembled from ESI fragments by a content delivery network (CDN) at an edge server, which selectively downloads from the origin content server only those fragments that are necessary (as opposed to the entire page). This is expected to reduce the load and bandwidth requirements of the content server. This paper proposes an ESI-compliant approach in which page reconstruction occurs at the browser rather than the CDN. Unlike page assembly at the network edge, CSI optimizes content delivery over the last mile, which is where the true bottleneck often is. We call the client-based approach Client-Side Includes, or CSI.
Learning a Distance Metric to cluster E-Mails

Application of document clustering techniques to cluster e-mails is an interesting application. Techniques like kmeans, EM etc can be used to achieve this. However, the selection of a good distance metric is the key issue involved. Often people manually tweak the chosen distance metric to achieve desirable/good clusters/results that in all certainty do not provide a generic solution. Hence it would be very useful to automatically learn the distance metric from some training set before clustering. In [1] a technique for learning distance metrics has been proposed for clustering. Our first task is to apply this technique to document (specifically e-mails) clustering. The main issues covered in our work are two-fold: to decide on the learning strategy to be adopted and secondly, to design a feature space for the emails. Classical email related problems as in [2] have sought to classify them based on their text usually resulting in a space either as big as the collection vocabulary or proportional to the document length. Even existing clustering mechanisms like k-Means have utilized the term-document space for emails in order to cluster. We approach the problem in a way as to avoid the dimensionality problem as well.
Manusia Gerobak: a Study on the Tactics Adopted by Jatinegara's Waste Collectors Amid Urban Poverty

This research report focuses on the everyday life of manusia gerobak in jatinegara. this subject matter arose due to the fact that the ways poverty was interpreted, mainly its causes, were dominated by two theoretical approaches, they being the culture of poverty and structural poverty. both approaches greatly influence the government's view, as well as various other elements of society, in their efforts to reduce poverty in Indonesia. both approaches work under the structural paradigm of functionalism which places the poor as objects portraying them as static, lazy, and helpless people. therefore, they are considered to have distinctive cultural boundaries that are different from those of people who are not poor. this poses the question: what is the position of the poor, such as manusia gerobak, as social actors who are both active and creative? through this study, the researcher shows that manusia gerobak, as part of the poor, are active subjects and have developed tactics that are both creative and manipulative in order to survive. the characteristics of these active subjects is shown in their creation of explanations, their sets of knowledge as a basis for their daily practices, their exploitation of social networks, and their appearance (style) as vagrants. based on these findings, the theoretical assumptions of the culture of poverty and the structural poverty approaches, which gives the poor a distinct culture, turns out to be difficult to prove as manusia gerobak have associations with a broad range of actors. keywords: poverty, waste collectors, vagrants, tactics
Fuzzy algorithm control effectiveness on drum boiler simulated dynamics

The optimal control of parameters in a system assumes an important role in industrial processes. Models based on boiler-turbine plant are proposed in various applications. The target of this paper is to apply intelligent techniques on a boiler simulator to improve the speed and precision of control. In order to release such task, genetic-fuzzy controllers able of tuning the time duration of specific boiler drum signals, are designed. The results show good precision and relevant speed of control system improving the control performances of classical control structures.
Inhibitive effects of 15-deoxy-Δ12,14-prostaglandin J2 on hepatoma-cell proliferation through reactive oxygen species-mediated apoptosis

Objective 15-Deoxy-Δ12,14-prostaglandin J2 (15d-PGJ2) induces reactive oxygen species (ROS)-mediated apoptosis in many malignant cells, which has not been studied in hepatoma cells. In this study, we investigated whether 15d-PGJ2 induced apoptosis in hepatocellular carcinoma (HCC) associated with ROS. Materials and methods The LM3, SMMC-7721, and Huh-7 HCC cell lines were treated with 15d-PGJ2 (5–40 μM) for 24, 48, and 72 hours. Cholecystokinin 8 was used to detect the cytotoxicity of 15d-PGJ2. Flow cytometry, Hoechst staining, and Western blotting were used to analyze apoptosis. ROS were combined with the fluorescent probe dihydroethidium and then observed by fluorescence microscopy and flow cytometry. Activation of JNK and expression of Akt were detected by Western blotting. Results 15d-PGJ2 inhibited HCC cell proliferation and induced apoptosis in a dose- and time-dependent manner. Apoptosis was mainly induced via an intrinsic pathway and was ROS-dependent, and was alleviated by ROS scavengers. ROS induced JNK activation and Akt downregulation in HCC cells. Conclusion 15d-PGJ2 induced ROS in HCC cell lines, and inhibition of cell growth and apoptosis were partly ROS-dependent.
Indoor shop recognition via simple but efficient fingerprinting on smartphones

Indoor shop recognition can not only help mobile users to quickly recognize a shop to know about the information of interest without needing to enter the shop, but also assist in achieving more accurate user localization in a shopping mall. However, the existing Wi-Fi fingerprint based approaches or image based approaches cannot accomplish this goal well due to the huge cost of constructing large-scale fingerprint database and poor accuracy. In order to address these issues, we propose a simple but efficient fingerprinting approach to collect various valuable sensory data with smartphones, which can not only reduce the randomness of fingerprints and the negative impact of pedestrians in image matching, but also be used to calculate the user-to-shop distance based on the perspective projection model for assisting in determining an accurate fingerprint searching scope. We also propose an efficient fingerprint searching and matching method to improve the recognition accuracy. We have implemented a prototype system, and collected a fingerprint database of 36 shops in a shopping mall. Extensive experiments demonstrate our approach achieves promising results in realistic scenarios.
University of Birmingham Optimal path and cycle decompositions of dense quasirandom graphs

Motivated by longstanding conjectures regarding decompositions of graphs into paths and cycles, we prove the following optimal decomposition results for random graphs. Let 0 < p < 1 be constant and let G ∼ G n,p . Let odd ( G ) be the number of odd degree vertices in G . Then a.a. s. the following hold: (i) G can be decomposed into (cid:98) ∆( G ) / 2 (cid:99) cycles and a matching of size odd ( G ) / 2. (ii) G can be decomposed into max { odd ( G ) / 2 , (cid:100) ∆( G ) / 2 (cid:101)} paths. (iii) G can be decomposed into (cid:100) ∆( G ) / 2 (cid:101) linear forests. Each of these bounds is best possible. We actually derive (i)–(iii) from ‘quasi-random’ versions of our results. In that context, we also determine the edge chromatic number of a given dense quasirandom graph of even order. For all these results, our main tool is a result on Hamilton decompositions of robust expanders by K¨uhn and Osthus.
Septin cooperation with tubulin polyglutamylation contributes to cancer cell adaptation to taxanes

The mechanisms of cancer cell adaptation to the anti-microtubule agents of the taxane family are multifaceted and still poorly understood. Here, in a model of breast cancer cells which display amplified microtubule dynamics to resist Taxol®, we provide evidence that septin filaments containing high levels of SEPT9_i1 bind to microtubules in a way that requires tubulin long chain polyglutamylation. Reciprocally, septin filaments provide a scaffold for elongating and trimming polyglutamylation enzymes to finely tune the glutamate side-chain length on microtubules to an optimal level. We also demonstrate that tubulin retyrosination and/or a high level of tyrosinated tubulin is crucial to allow the interplay between septins and polyglutamylation on microtubules and that together, these modifications result in an enhanced CLIP-170 and MCAK recruitment to microtubules. Finally, the inhibition of tubulin retyrosination, septins, tubulin long chain polyglutamylation or of both CLIP-170 and MCAK allows the restoration of cell sensitivity to taxanes, providing evidence for a new integrated mechanism of resistance.
Dispersion Flattened Optical Fiber Design for Large Bandwidth and High-Speed Optical Communications Using Optimization Technique

In this paper, design of the RII triple-clad structure as a dispersion flattened optical fiber including small pulse broadening factor as well as small dispersion and its slope applicable in broadband and fast communication is considered. The proposed optimization technique is based on the Genetic Algorithms (GA) consisting suitable fitness function for each application. The putting forward design method introduces the pulse broadening factor (σ/σ0) about 1.0016 after 200 Km propagation at the zero dispersion wavelength that is so excellent compared to the structure (1.2794) reported in [2] recently. Meanwhile, the proposed structure provides high bit rate (more than 197.8 Gb/sec at 100 Km), large dispersion length (larger than 17400 Km), uniform dispersion slope ([0.04, −0.08] ps/Km/nm2) and broad bandwidths as well as small and uniform dispersion (smaller than 2.02 ps/Km/nm) at [1.55–1.7]μm wavelength interval Corresponding author: M. Savadi-Oskouei (morteza savadi79@yahoo.com).
Retraction: A new approach to motion-planning

The two-dimensional Movers' Problem may be stated as follows: Given a set of polygonal obstacles in the plane, and a two-dimensional robot system B, determine whether one can move B from a given placement to another without touching any obstacle, and plan such a motion when one exists. Efficient algorithms are presented for the two special cases in which B is either a disc or a straightline segment, running respectively in time 0(n log n) and 0(n2 log n). To solve the problem for a disc one uses the planar Voronoi diagram determined by the obstacles; in the case of a line-segment one generalizes the notion of Voronoi diagram to the 3-dimensional configuration space of the moving segment.