Miracle-dz/UniFAR-FTUs huggingface dataset:
Alteration of TEAD1 Expression Levels Confers Apoptotic Resistance through the Transcriptional Up-Regulation of Livin

Background TEA domain (TEAD) proteins are highly conserved transcription factors involved in embryonic development and differentiation of various tissues. More recently, emerging evidences for a contribution of these proteins towards apoptosis and cell proliferation regulation have also been proposed. These effects appear to be mediated by the interaction between TEAD and its co-activator Yes-Associated Protein (YAP), the downstream effector of the Hippo tumour suppressor pathway. Methodology/Principal Findings We further investigated the mechanisms underlying TEAD-mediated apoptosis regulation and showed that overexpression or RNAi-mediated silencing of the TEAD1 protein is sufficient to protect mammalian cell lines from induced apoptosis, suggesting a proapoptotic function for TEAD1 and a non physiological cytoprotective effect for overexpressed TEAD1. Moreover we show that the apoptotic resistance conferred by altered TEAD1 expression is mediated by the transcriptional up-regulation of Livin, a member of the Inhibitor of Apoptosis Protein (IAP) family. In addition, we show that overexpression of a repressive form of TEAD1 can induce Livin up-regulation, indicating that the effect of TEAD1 on Livin expression is indirect and favoring a model in which TEAD1 activates a repressor of Livin by interacting with a limiting cofactor that gets titrated upon TEAD1 up-regulation. Interestingly, we show that overexpression of a mutated form of TEAD1 (Y421H) implicated in Sveinsson's chorioretinal atrophy that strongly reduces its interaction with YAP as well as its activation, can induce Livin expression and protect cells from induced apoptosis, suggesting that YAP is not the cofactor involved in this process. Conclusions/Significance Taken together our data reveal a new, Livin-dependent, apoptotic role for TEAD1 in mammals and provide mechanistic insight downstream of TEAD1 deregulation in cancers.
Research Questions : The Objectives of the Downtown Dynamics Research Program

Downtown revitalization has become an important policy issue, especially in advanced countries. In more than 50 years since Jane Jacobs’s discourse, the mechanism of the formation and decline of downtowns has been the subject of much controversy. It has been argued that the agglomeration and attractiveness of downtown are supported by its internal diversity. However, very little research including model analysis with an awareness of quantification has been presented.In order to examine the generation and sustainability of “downtown,” the paper outlines the Downtown Dynamics Model DDy using an artificial society approach. The paper mainly reported the formalization of externalities as the basic concept of the integration and specialization of shops, and oligo-centric market system and additional implementation applied to both the customer and shop agents in order to give a dynamic to the existing simulator ASSA. A prototype DDyn has been created on an experimental basis. _______________________________________________________ T. Kaneda (Corresponding author) Graduation School of Engineering, Nagoya Institute of Technology, Gokiso-cho Showa Nagoya Aichi, Japan Email: kaneda@nitech.ac.jp S. Chang Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama Meguro Tokyo, Japan Email: chang11@dis.titech. ac.jp CUPUM 2015 266-Paper
-Learning and Acting Upon Customer Information: An Empirical Investigation of Service Allocations with Offshore Centers

As service centers become crucial corporate assets for increasing customer relationships and profits, it is imperative to understand customer reactions to service allocations. Using customer call history from a DSL service, the authors empirically investigate how customers’ onshore and offshore experience affects service duration and customer retention. They formulate service channel allocation decisions as solutions to a dynamic programming problem in which the firm learns about heterogeneous customer preferences, balances short-term service costs with long-term customer retention, and optimally matches customers with their preferred centers to maximize long-term profit. They demonstrate that learning enables a firm to make more customized allocations, and acting on long-term customer responses prompts the firm to make proactive decisions that prevent customers from leaving. As a result, the derived allocation decisions (1) reduce service costs, (2) improve customer retention, and (3) enhance profit. The proposed framework also mirrors the recent trend of companies seeking solutions that transform customer information into customized and dynamic marketing decisions to improve long-term profit.
The Influence of Transformational Leadership and Emotional Intelligence on Organizational Commitment

The aim of this study is to analyze the influence of transformational leadership and emotional intelligence on organizational commitment. The data was collected from 120 respondents from different organizations of IT sector of India. The study found that transformational leadership and emotional intelligence were related to organizational commitment. Both transformational leadership and emotional intelligence were found to have the significant influence to organizational commitment. This shows that transformational leadership and emotional intelligence have significantly enhanced the organizational commitment in Indian IT companies. This study also revealed that charisma aspect of transformational leadership and relationship management in emotional intelligence emerged as the most important factors that influence performance of organization. Findings, implications and recommendations for future research from this study are discussed.
An Empirical Comparison of Goodness Measures for Unsupervised Chinese Word Segmentation with a Unified Framework

This paper reports our empirical evaluation and comparison of several popular goodness measures for unsupervised segmentation of Chinese texts using Bakeoff-3 data sets with a unified framework. Assuming no prior knowledge about Chinese, this framework relies on a goodness measure to identify word candidates from unlabeled texts and then applies a generalized decoding algorithm to find the optimal segmentation of a sentence into such candidates with the greatest sum of goodness scores. Experiments show that description length gain outperforms other measures because of its strength for identifying short words. Further performance improvement is also reported, achieved by proper candidate pruning and by assemble segmentation to integrate the strengths of individual measures.
Online artifact recognition and removal in EEG signals through wavelet transform and independent component analysis

Electroencephalographic (EEG) signals are signals generated from electrical activity in the brain; these are recorded via a number of electrodes placed across the scalp of a patient. In a Brain Computer Interface (BCI) this technology is utilized and the output data is processed online. EEG signals are highly susceptible to artifact contamination from signals generated by other muscles in the body. These artifacts can often lie in the same frequency range as the brain signals being monitored and, as such, can make readings worthless, as such, these artifacts should be isolated and removed from the signal. This method uses a combination of the FastICA algorithm and wavelet transforms. First the artifact is observed by identifying a sharp increase in amplitude in the signal (while negating drift). The artifact is then isolated using the FastICA algorithm. Using the relevant independent component (IC), the artifact is recognised by running wavelet transforms using a number of mother wavelets (relating to different potential artifacts). When identified the IC is replaced with a zero vector and the signal is regenerated by performing an inverse FastICA. Artifacts could also be considered features; as such, when a relevant waveform is identified, an output or external function may be triggered prior to removal.
Single- and multi-objective particle swarm optimization of reservoir structure in Echo State Network

Echo State Networks ESNs are specific kind of recurrent networks providing a black box modeling of dynamic non-linear problems. Their architecture is distinguished by a randomly recurrent hidden infra-structure called dynamic reservoir. Coming up with an efficient reservoir structure depends mainly on selecting the right parameters including the number of neurons and connectivity rate within it. Despite expertise and repeatedly tests, the optimal reservoir topology is hard to be determined in advance. Topology evolving can provide a potential way to define a suitable reservoir according to the problem to be modeled. This last can be mono- or multi-constrained. Throughout this paper, a mono-objective as well as a multi-objective particle swarm optimizations are applied to ESN to provide a set of optimal reservoir architectures. Both accuracy and complexity of the network are considered as objectives to be optimized during the evolution process. These approaches are tested on various benchmarks such as NARMA and Lorenz time series.
Spatial Modulation Aided Zero-Padded Single Carrier Transmission for Dispersive Channels

In this paper, we consider spatial modulation (SM) operating in a frequency-selective single-carrier (SC) communication scenario and propose zero-padding instead of the cyclic-prefix considered in the existing literature. We show that the zero-padded single-carrier (ZP-SC) SM system offers full multipath diversity under maximum-likelihood (ML) detection, unlike the cyclic-prefix based SM system. Furthermore, we show that the order of ML detection complexity in our proposed ZP-SC SM system is independent of the frame length and depends only on the number of multipath links between the transmitter and the receiver. Thus, we show that the zero-padding applied in the SC SM system has two advantages over the cyclic prefix: 1) achieves full multipath diversity, and 2) imposes a relatively low ML detection complexity. Furthermore, we extend the partial interference cancellation receiver (PIC-R) proposed by Guo and Xia for the detection of space-time block codes (STBCs) in order to convert the ZP-SC system into a set of narrowband subsystems experiencing flat-fading. We show that full rank STBC transmissions over these subsystems achieves full transmit, receive as well as multipath diversity for the PIC-R. Furthermore, we show that the ZP-SC SM system achieves receive and multipath diversity for the PIC-R at a detection complexity order which is the same as that of the SM system in flat-fading scenario. Our simulation results demonstrate that the symbol error ratio performance of the proposed linear receiver for the ZP-SC SM system is significantly better than that of the SM in cyclic prefix based orthogonal frequency division multiplexing as well as of the SM in the cyclic-prefixed and zero-padded single carrier systems relying on zero-forcing/minimum mean-squared error equalizer based receivers.
XDedup: Efficient Provably-Secure Cross-User Chunk-Level Client-Side Deduplicated Cloud Storage of Encrypted Data

Data deduplication, aiming to eliminate duplicate data, has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. Unfortunately, as an increasing number of sensitive data are stored remotely, the encryption, the simplest way for data privacy, is not compatible with data deduplication. Though many research efforts have been devoted to securing deduplication, they all are subject to performance, security, and applicability limitations. Here, we propose two encrypted deduplication schemes, SDedup and XDedup, both based on Merkle puzzle. To the best of our knowledge, XDedup is the first brute-force resilient encrypted deduplication with only symmetrically cryptographic two-party interactions. The analysis and numerical simulations are conducted to demonstrate the performance and practicality of SDedup and XDedup.
Persistence and origin of the lunar core dynamo

The lifetime of the ancient lunar core dynamo has implications for its power source and the mechanism of field generation. Here, we report analyses of two 3.56-Gy-old mare basalts demonstrating that they were magnetized in a stable and surprisingly intense dynamo magnetic field of at least ∼13 μT. These data extend the known lifetime of the lunar dynamo by ∼160 My and indicate that the field was likely continuously active until well after the final large basin-forming impact. This likely excludes impact-driven changes in rotation rate as the source of the dynamo at this time in lunar history. Rather, our results require a persistent power source like precession of the lunar mantle or a compositional convection dynamo.
CaSiO3 perovskite at lower mantle pressures

We investigate by first‐principles the structural behavior of CaSiO3 perovskite up to lower mantle pressures. We confirm that the cubic perovskite modification is unstable at all pressures. The zero Kelvin structure is stabilized by SiO6 octahedral rotations that lower the symmetry to tetragonal, orthorhombic, rhombohedral, or to a cubic supercell. The resulting structures have comparable energies and equation of state parameters. This suggests that relatively small deviatoric/shear stresses might induce phase transformations between these various structures softening some elastic moduli, primarily the shear modulus. The seismic signature accompanying a local increase in CaSiO3 content should be a positive density anomaly and a negative VS anomaly.
Two-player Nonzero-sum !-regular Games

We study in nite stochastic games played by two-players on a nite graph with goals speci ed by sets of in nite traces. The games are concurrent (each player simultaneously and independently chooses an action at each round), stochastic (the next state is determined by a probability distribution depending on the current state and the chosen actions), in nite (the game continues for an in nite number of rounds), nonzero-sum (the players' goals are not necessarily con icting), and undiscounted. We show that if each player has an ! -regular objective expressed as a parity objective, then there exists an "-Nash equilibrium, for every " > 0. However, exact Nash equilibria need not exist. We study the complexity of nding values (payo pro le) of some "-Nash equilibrium. We show that the values of some "-Nash equilibrium in nonzero-sum concurrent parity games can be computed by solving the following two simpler problems: computing the values of zero-sum (the goals of the players are strictly con icting) concurrent parity games and computing "-Nash equilibrium values of nonzero-sum concurrent games with reachability objectives. As a consequence we establish that values of some "-Nash equilibrium can be approximated in FNP (functional NP), and hence in EXPTIME. The work was supported by the AFOSR MURI grant F49620-00-1-0327, by the ONR grant N00014-02-1-0671, and by the NSF grants CCR-0132780, CCR-0234690, CCR9988172, and CCR-0225610, and by the NSF Career grant CCR-0132780, the NSF grant CCR-0234690, and by the ONR grant N00014-02-1-0671
Sustaining Versus Losing Love: Factors Discriminating the Two

ABSTRACT In this research, using a formulation of romantic love derived from previous research, we state a series of hypotheses regarding specific relational characteristics that are predicted to discriminate between those individuals who remain in love with their partners and those who, though once in love, have ceased to love them. Results obtained strongly support both the overall formulation of romantic love and the more specific predictions derived from it. We conclude by discussing some implications of these results, with an emphasis on clinical ones, as well as some strengths and limitations of the present research.
Reflectance spectra recovery with non-negativity constraints

We propose two methods for recovering the reflectance spectra of given colorimetric data by using the nonnegative constraints in reflectance spectra. We formulate the problem of reflectance spectra recovery as a non-negative least squares problem and solve it with two iterative methods. Experimental results demonstrate that the two methods give similar recovery results, where Macbeth ColorChecker data are used for recovering the reflectance spectra of Neugebauer primary colors. We also transform the recovered reflectance spectra into tristimulus values to visualize them, where an ad hoc scaling operation is introduced for brightening the recovered colors.
Semi-supervised kernel based learning for location recognition

In this report we compare the performance of various supervised and semi-supervised learning techniques on the problem of classifying incoming images according to their indoor or outdoor location, given a small set of training images taken at each location. Recently nonlinear kernel based methods such as Support Vector Machines[6][7][8] have become very popular in visual pattern recognition. There also has been recent work on transductive inference[1][7] which uses test data alongwith the training data to improve upon the performance. The performance of various methods is evaluated against different sizes of the training data, keeping a fixed test data. We compare inductive and transductive SVM’s with different kernels, some simple parametric techniques and a few non-parametric kernel methods. In particular we evaluate the extent to which semi-supervised learning methods can reduce the burden of labelling the training images by taking the test images into account. The results show that SVMs outperform all other inductive techniques. The semi-supervised transductive SVMs perform better than inductive SVMs for large enough data, but the performance falls when the training data is reduced to very low values(ref. fig(6)).
What are the roles of carers in decision-making for amyotrophic lateral sclerosis multidisciplinary care?

PURPOSE Family carers of patients with amyotrophic lateral sclerosis (ALS) are presumed to have frequent involvement in decision-making for symptom management and quality of life. To better understand and improve decision-making, we investigated the range and extent of carer participation in decision-making. By focusing on the perspectives of ALS support carers, the study aimed to explore carer participation in decision-making, to identify carer roles, and determine the facilitators and barriers to carer participation in decision-making for ALS multidisciplinary care. PARTICIPANTS AND METHODS An exploratory, in-depth study was conducted with eight carers of ALS patients from two specialized ALS multidisciplinary clinics. Carers participated in semi-structured interviews that were audio recorded and transcribed then coded and analyzed for emergent themes. RESULTS Carers made a significant contribution to ALS decision-making. Their roles were: promoting the patient voice, promoting patient health literacy, and providing emotional support and logistical assistance. Facilitators of carer participation in decision-making were perceived to be: health professional endorsement of patients' decision-making style; access to credible information sources; evidence-based information from the ALS clinic, ALS support association, and health practitioners; supportive relationships with family and friends; spiritual faith; ease of contact with ALS services; and availability of physical and practical support for carers. Barriers to carer participation included: changes to patient communication and cognition; conflict between respect for patients' independence and patients' best interest; communication breakdown between patient, carer, and service providers; the confronting nature of disease information; credibility of Internet sites; carer coping strategies; lack of support for the carer; and the burden of care. CONCLUSION Carers enhance ALS patient-centered care through their participation in decision-making. They collaborate with patients and health professionals to form a decision-making triad within specialized multidisciplinary ALS clinical care. Nevertheless, health professional engagement with carers as collaborative partners is acknowledged to be a significant challenge.
Medical therapy options for aging men with benign prostatic hyperplasia: focus on alfuzosin 10 mg once daily

Lower urinary tract symptoms suggestive of benign prostatic hyperplasia (LUTS/BPH) are common in aging men and can significantly affect quality of life. Men with bothersome LUTS/BPH often present with various other age-related conditions, including sexual dysfunction, heart disease, hypertension, diabetes, and the metabolic syndrome, which can complicate management decisions. Therefore, healthcare providers should be familiar with first-line treatment options for LUTS/BPH and their differing safety profiles, particularly with respect to cardiovascular and sexual function side effects. This article presents a review of first-line medical therapy options for managing aging men with LUTS/BPH and patient considerations when evaluating and selecting these therapies, with a focus on the clinical efficacy and cardiovascular and sexual function safety profiles of the uroselective α1-adrenergic receptor antagonist alfuzosin 10 mg once daily. Alfuzosin improves LUTS, peak urinary flow rates, and disease-specific quality of life, reduces the long-term risk of overall BPH progression, and is well tolerated in aging men, with minimal vasodilatory and sexual function side effects, even in those with comorbidities. Alfuzosin is well tolerated when used in combination with antihypertensive medications and phosphodiesterase type 5 inhibitors for the treatment of erectile dysfunction. The long-term clinical efficacy and good cardiovascular and sexual function safety profile of alfuzosin can contribute to an improved quality of life for aging men with LUTS/BPH.
A Particle Filter Based Algorithm for State Estimation of Dim Moving Point Target in IR Image Sequence

Under the condition of the target's initial information is already estimated successfully, this paper present a real-time target tracking algorithm that based on particle filter (PF) update algorithm. According to the particles' transmission characteristics and the measurements from a single frame detection, the algorithm estimate the target's following moving state, in this way, tracking the dim moving point target successfully under the background of low signal-noise-ratio (SNR) in IR image sequence. The paper introduced the related theory and the concrete steps for accomplishing the algorithm and also simulated the proposed tracking algorithm on the MATLAB platform. Experimental analysis and results showed that the algorithm achieved real-time, dynamic stability and robustness while tracking the random moving target in high clutter environment.