Miracle-dz/UniFAR-FTUs huggingface dataset:
Growth-stimulative effect of estrogen on androgen-dependent Shionogi carcinoma 115.

The stimulative effect of 17 beta-estradiol on the growth of androgen-dependent Shionogi carcinoma 115 and estrogen receptor in the tumor were studied. The incorporation of 17 beta-[3H]estradiol following a single injection of 17 beta-[3H]estradiol into tumor-bearing animals was 5- to 20-fold higher in the tumor than in the spleen and blood. Scatchard plot analyses showed that the tumor cytosol possessed a 17 beta-estradiol-binding site having a high affinity for 17 beta-estradiol [Kd 1.1 +/- 0.1 nM (S.E.)]. Competition experiments demonstrated that the 17 beta-estradiol binding was specific only for estrogenic compounds. Using sedimentation coefficient obtained by high-salt sucrose gradient (4.0S) and Stokes radius obtained by gel chromatography on Sephadex G-200 (46 A), the molecular weight of 17 beta-estradiol-binding component in the tumor cytosol was estimated to be 76,400. In castrated DS mice, a slight but significant increase in growth of s.c. grafted tumors was found by daily s.c. injections of either 17 beta-estradiol or 10 micrograms per mouse of testosterone propionate. Growth of the tumor maintained by 10 micrograms of testosterone propionate was augmented markedly by the addition of 4 micrograms of 17 beta-estradiol, and the growth approached the level induced by 100 micrograms of testosterone propionate. Simultaneous injections of bromocryptine inhibited an increase in 17 beta-estradiol-induced prolactin secretion but had no effect on the 17 beta-estradiol-enhanced tumor growth. These results demonstrate for the first time the stimulative effect of estrogen on the growth of androgen-dependent Shionogi carcinoma 115. The tumor contains typical estrogen receptor, which might be able to transmit estrogen signal to tumor cell nuclei with regard to tumor growth.
Building THINC: user incentivization and meeting rescheduling for energy savings

This paper presents THINC, an agent developed for saving energy in real-world commercial buildings. While previous work has presented techniques for computing energy-efficient schedules, it fails to address two issues, centered on human users, that are essential in real-world agent deployments: (i) incentivizing users for their energy saving activities and (ii) interacting with users to reschedule key ``energy-consuming'' meetings in a timely fashion, while handling the uncertainty in such interactions. THINC addresses these shortcomings by providing four new major contributions. First, THINC computes fair division of credits from energy savings. For this fair division, THINC provides novel algorithmic advances for efficient computation of Shapley value. Second, THINC includes a novel robust algorithm to optimally reschedule identified key meetings addressing user interaction uncertainty. Third, THINC provides an end-to-end integration within a single agent of energy efficient scheduling, rescheduling and credit allocation. Finally, we deploy THINC in the real-world as a pilot project at one of the main libraries at the University of Southern California and present results illustrating the benefits in saving energy.
Meta-analysis of 41 functional neuroimaging studies of executive function in schizophrenia.

CONTEXT Prefrontal cortical dysfunction is frequently reported in schizophrenia. It remains unclear whether this represents the coincidence of several prefrontal region- and process-specific impairments or a more unitary dysfunction in a superordinate cognitive control network. Whether these impairments are properly considered reflective of hypofrontality vs hyperfrontality remains unresolved. OBJECTIVES To test whether common nodes of the cognitive control network exhibit altered activity across functional neuroimaging studies of executive cognition in schizophrenia and to evaluate the direction of these effects. DATA SOURCES PubMed database. STUDY SELECTION Forty-one English-language, peer-reviewed articles published prior to February 2007 were included. All reports used functional neuroimaging during executive function performance by adult patients with schizophrenia and reported whole-brain analyses in standard stereotactic space. Tasks primarily included the delayed match-to-sample, N-back, AX-CPT, and Stroop tasks. DATA EXTRACTION Activation likelihood estimation modeling reported activation maxima as the center of a 3-dimensional gaussian function in the meta-analysis, with statistical thresholding and correction for multiple comparisons. DATA SYNTHESIS In within-group analyses, healthy controls and patients activated a similarly distributed cortical-subcortical network, prominently including the dorsolateral prefrontal cortex (PFC), ventrolateral PFC, anterior cingulate cortex (ACC), and thalamus. In between-group analyses, patients showed reduced activation in the left dorsolateral PFC, rostral/dorsal ACC, left thalamus (with significant co-occurrence of these areas), and inferior/posterior cortical areas. Increased activation was observed in several midline cortical areas. Activation within groups varied modestly by task. CONCLUSIONS Healthy adults and schizophrenic patients activate a qualitatively similar neural network during executive task performance, consistent with the engagement of a general-purpose cognitive control network, with critical nodes in the dorsolateral PFC and ACC. Nevertheless, patients with schizophrenia show altered activity with deficits in the dorsolateral PFC, ACC, and mediodorsal nucleus of the thalamus. Increases in activity are evident in other PFC areas, which could be compensatory in nature.
A network-adaptive transport scheme for haptic-based collaborative virtual environments

In this paper, we design and implement a transport scheme for haptic interactions in CVEs (collaborative virtual environments). When interacting with haptic interfaces in the CVEs, network delay jitter and packet loss over the Internet may seriously degrade the user experience of haptic interactions. The existing transport schemes tailored for networked haptics claim that their schemes could improve the quality of networked haptic interaction. However, what seems to be lacking is that they do not focus on reducing the transmission rate and end-to-end delay of the haptic events. On the contrary, the proposed transport scheme reduces the transmission rate of haptic events by using network-adaptive aggregated packetization and the priority-based filtering. It also compensates the network delay jitter and loss in order to improve the haptic interaction quality by using haptic event error control and priority-based buffering scheme with low processing delay. According to the experimental results, the proposed transport scheme provides shorter playout delay and less transmission rate than those of the existing networked haptic transports.
The “Short‐Coupled” Variant of Right Ventricular Outflow Ventricular Tachycardia: A Not‐So‐Benign Form of Benign Ventricular Tachycardia?

Idiopathic ventricular tachycardia (VT) originating from the right ventricular outflow tract (RVOT‐VT) and idiopathic RVOT‐extrasystoles are generally considered benign arrhythmias. We described three cases who originally presented with typical “benign looking” RVOT‐extrasystoles or RVOT‐VT but developed malignant polymorphic VT during follow‐up. The unusual aspect of their RVOT‐extrasystoles was their coupling interval, which appears to be intermediate between the ultra‐short coupling interval of idiopathic VF and the long coupling interval seen in the truly benign RVOT‐VT.
Differential Impact of Web and Mobile Interactivity on E-Retailers' Performance

This study investigates the differential impact of machine and person interactivity on both Web and mobile interfaces on e-retailers' operational and financial performance. Based on data from 463 large e-retailers in the United States and Canada, interesting findings are obtained indicating that Web machine interactivity and mobile person interactivity have significantly positive impacts on e-retailers' operational performance, whereas Web person interactivity and mobile machine interactivity do not. Furthermore, machine interactivity on a Web interface (i.e., Web machine interactivity) has a stronger impact than machine interactivity on mobile interfaces (i.e., mobile machine interactivity), and person interactivity is more influential on mobile interfaces (i.e., mobile person interactivity) than on Web interfaces (i.e., Web person interactivity). E-retailers' operational performance is found to have a significantly positive impact on e-retailers' financial performance. Overall, this study provides in-depth insights into the differential roles of machine and person interactivity on Web and mobile interfaces in affecting e-retailers' performance. Implications for research and practice as well as suggestions for future research are discussed.
Multistatic Synthetic Aperture Radar Image Formation

In this paper, we consider a multistatic synthetic aperture radar (SAR) imaging scenario where a swarm of airborne antennas, some of which are transmitting, receiving or both, are traversing arbitrary flight trajectories and transmitting arbitrary waveforms without any form of multiplexing. The received signal at each receiving antenna may be interfered by the scattered signal due to multiple transmitters and additive thermal noise at the receiver. In this scenario, standard bistatic SAR image reconstruction algorithms result in artifacts in reconstructed images due to these interferences. In this paper, we use microlocal analysis in a statistical setting to develop a filtered-backprojection (FBP) type analytic image formation method that suppresses artifacts due to interference while preserving the location and orientation of edges of the scene in the reconstructed image. Our FBP-type algorithm exploits the second-order statistics of the target and noise to suppress the artifacts due to interference in a mean-square sense. We present numerical simulations to demonstrate the performance of our multistatic SAR image formation algorithm with the FBP-type bistatic SAR image reconstruction algorithm. While we mainly focus on radar applications, our image formation method is also applicable to other problems arising in fields such as acoustic, geophysical and medical imaging.
Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression

By combining Haar wavelets with Bayesian Hidden Markov Models, we improve detection of genomic copy number variants (CNV) in array CGH experiments compared to the state-of-the-art, including standard Gibbs sampling. At the same time, we achieve drastically reduced running times, as the method concentrates computational effort on chromosomal segments which are difficult to call, by dynamically and adaptively recomputing consecutive blocks of observations likely to share a copy number. This makes routine diagnostic use and re-analysis of legacy data collections feasible; to this end, we also propose an effective automatic prior. An open source software implementation of our method is available at http://bioinformatics.rutgers. edu/Software/HaMMLET/. The web supplement is at http://bioinformatics.rutgers. edu/Supplements/HaMMLET/. Author Summary Identifying large-scale genome deletions and duplications, or copy number variants (CNV), accurately in populations or individual patients is a crucial step in indicating disease factors or diagnosing an individual patient's disease type. Hidden Markov Models (HMM) are a type of statistical model widely used for CNV detection, as well as other biological applications such as the analysis of gene expression time course data or the analysis of discrete-valued DNA and protein sequences. As with many statistical models, there are two fundamentally different inference approaches. In the frequentist framework, a single estimate of the model parameters would be used as a basis for subsequent inference, making the identification of CNV dependent on the quality of that estimate. This is an acute problem for HMM as methods for finding globally optimal parameters are not known. Alternatively, one can use a Bayesian approach and integrate over all possible parameter choices. While the latter is known to lead to significantly better results, the much—up to hundreds of times—larger computational effort prevents wide adaptation so far. Our proposed method addresses this by combining Haar wavelets and HMM. We greatly accelerate fully Bayesian HMMs, while simultaneously increasing convergence and thus the accuracy of the Gibbs sampler used for Bayesian computations, leading to substantial improvements over the state-of-the-art.
Recent advances in bedside microcirculation assessment in critically ill patients

Parameters related to macrocirculation, such as the mean arterial pressure, central venous pressure, cardiac output, mixed venous saturation and central oxygen saturation, are commonly used in the hemodynamic assessment of critically ill patients. However, several studies have shown that there is a dissociation between these parameters and the state of microcirculation in this group of patients. Techniques that allow direct viewing of the microcirculation are not completely disseminated, nor are they incorporated into the clinical management of patients in shock. The numerous techniques developed for microcirculation assessment include clinical assessment (e.g., peripheral perfusion index and temperature gradient), laser Doppler flowmetry, tissue oxygen assessment electrodes, videomicroscopy (orthogonal polarization spectral imaging, sidestream dark field imaging or incident dark field illumination) and near infrared spectroscopy. In the near future, the monitoring and optimization of tissue perfusion by direct viewing and microcirculation assessment may become a goal to be achieved in the hemodynamic resuscitation of critically ill patients.
User-adaptive control of a magnetorheological prosthetic knee

A magnetorheological knee prosthesis is presented that automatically adapts knee damping to the gait of the amputee using only local sensing of knee force, torque, and position. To assess the clinical effects of the user‐adaptive knee prosthesis, kinematic gait data were collected on four unilateral trans‐femoral amputees. Using the user‐adaptive knee and a conventional, non‐adaptive knee, gait kinematics were evaluated on both affected and unaffected sides. Results were compared to the kinematics of 12 age, weight and height matched normals. We find that the user‐adaptive knee successfully controls early stance damping, enabling amputee to undergo biologically‐realistic, early stance knee flexion. These results indicate that a user‐adaptive control scheme and local mechanical sensing are all that is required for amputees to walk with an increased level of biological realism compared to mechanically passive prosthetic systems.
A simple Approach for Optimal Generation Scheduling to Maximize GENCOs Profit using PPD table and ABC algorithm Under Deregulated environment

In this paper an attempt has been made to solve the profit based unit commitment problem (PBUC) using pre-prepared power demand (PPD) table with an artificial bee colony (ABC) algorithm. The PPD-ABC algorithm appears to be a robust and reliable optimization algorithm for the solution of PBUC problem. The profit based unit commitment problem is considered as a stochastic optimization problem in which the objective is to maximize their own profit and the decisions are needed to satisfy the standard operating constraints. The PBUC problem is solved by the proposed methodology in two stages. In the first step, the unit commitment scheduling is performed by considering the pre-prepared power demand (PPD) table and then the problem of fuel cost and revenue function is solved using ABC Algorithm. The PPD table suggests the operator to decide the units to be put into generation there by reducing the complexity of the problem. The proposed approach is demonstrated on 10 units 24 hour and 50 units 24 hour test systems and numerical results are tabulated. Simulation result shows that this approach effectively maximizes the GENCO’s profit than those obtained by other optimizing methods.
Decentralized cooperative exploration: implementation and experiments

In this paper we present implementation and experiments of a decen- tralized cooperative exploration strategy developed by our research group. The ex- ploration strategy is based on the construction of a roadmap of the explored area, with the associate safe region. No task decomposition/allocation is performed. The roadmap is incrementally built through a simple and efficient decentralized coop- eration mechanism: each robot biases its exploration towards its local frontier, i.e., local areas which appear to be unexplored by the whole robot team on the basis of the exchanged information. A detailed description of the software architecture used to implement the strategy is given. Experiments with a team of Khepera III robots are presented to show the performance of the proposed technique.
Preparation of a Nanoscaled Poly(vinyl alcohol)/Hydroxyapatite/DNA Complex Using High Hydrostatic Pressure Technology for In Vitro and In Vivo Gene Delivery

Our previous research showed that poly(vinyl alcohol) (PVA) nanoparticles incorporating DNA with hydrogen bonds obtained by high hydrostatic pressurization are able to deliver DNA without any significant cytotoxicity. To enhance transfection efficiency of PVA/DNA nanoparticles, we describe a novel method to prepare PVA/DNA nanoparticles encapsulating nanoscaled hydroxyapatites (HAps) prepared by high hydrostatic pressurization (980 MPa), which is designed to facilitate endosomal escape induced by dissolving HAps in an endosome. Scanning electron microscopic observation and dynamic light scattering measurement revealed that HAps were significantly encapsulated in PVA/HAp/DNA nanoparticles. The cytotoxicity, cellular uptake, and transgene expression of PVA/HAp/DNA nanoparticles were investigated using COS-7 cells. It was found that, in contrast to PVA/DNA nanoparticles, their internalization and transgene expression increased without cytotoxicity occurring. Furthermore, a similar level of transgene expression between plasmid DNA and PVA/HAp/DNA nanoparticles was achieved using in vivo hydrodynamic injection. Our results show a novel method of preparing PVA/DNA nanoparticles encapsulating HAp nano-crystals by using high hydrostatic pressure technology and the potential use of HAps as an enhancer of the transfection efficiency of PVA/DNA nanoparticles without significant cytotoxicity.
A Graph-Theoretic Approach to Scheduling in Cognitive Radio Networks

We focus on throughput-maximizing, max-min fair, and proportionally fair scheduling problems for centralized cognitive radio networks. First, we propose a polynomial-time algorithm for the throughput-maximizing scheduling problem. We then elaborate on certain special cases of this problem and explore their combinatorial properties. Second, we prove that the max-min fair scheduling problem is NP-Hard in the strong sense. We also prove that the problem cannot be approximated within any constant factor better than 2 unless P=NP. Additionally, we propose an approximation algorithm for the max-min fair scheduling problem with approximation ratio depending on the ratio of the maximum possible data rate to the minimum possible data rate of a secondary users. We then focus on the combinatorial properties of certain special cases and investigate their relation with various problems such as the multiple-knapsack, matching, terminal assignment, and Santa Claus problems. We then prove that the proportionally fair scheduling problem is NP-Hard in the strong sense and inapproximable within any additive constant less than log(4/3). Finally, we evaluate the performance of our approximation algorithm for the max-min fair scheduling problem via simulations. This approach sheds light on the complexity and combinatorial properties of these scheduling problems, which have high practical importance in centralized cognitive radio networks.
NK3R signalling in the posterodorsal medial amygdala is involved in stress-induced suppression of pulsatile LH secretion in female mice.

Psychosocial stress negatively impacts reproductive function by inhibiting pulsatile luteinizing hormone (LH) secretion. The posterodorsal medial amygdala (MePD) is responsible in part for processing stress and modulating the reproductive axis. Activation of the neurokinin 3 receptor (NK3R) suppresses the gonadotropin-releasing hormone (GnRH) pulse generator, under hypoestrogenic conditions, and NK3R activity in the amygdala has been documented to play a role in stress and anxiety. We investigate whether NK3R activation in the MePD is involved in mediating the inhibitory effect of psychosocial stress on LH pulsatility in ovariectomised female mice. First, we administered senktide, an NK3R agonist, into the MePD and monitored the effect on pulsatile LH secretion. We then delivered SB222200, a selective NK3R antagonist, intra-MePD in the presence of predator odour, 2,4,5-trimethylthiazole (TMT) and examined the effect on LH pulses. Senktide administration into the MePD dose-dependently suppresses pulsatile LH secretion. Moreover, NK3R signalling in the MePD mediates TMT-induced suppression of the GnRH pulse generator, which we verified using a mathematical model. The model verifies our experimental findings: (i) predator odour exposure inhibits LH pulses, (ii) activation of NK3R in the MePD inhibits LH pulses and (iii) NK3R antagonism in the MePD blocks stressor-induced inhibition of LH pulse frequency in the absence of ovarian steroids. These results demonstrate for the first time that NK3R neurons in the MePD mediate psychosocial stress-induced suppression of the GnRH pulse generator.
Building a Statistical Machine Translation System for French Using the Europarl Corpus

This paper describes the development of a statistical machine translation system based on the Moses decoder for the 2007 WMT shared tasks. Several different translation strategies were explored. We also use a statistical language model that is based on a continuous representation of the words in the vocabulary. By these means we expect to take better advantage of the limited amount of training data. Finally, we have investigated the usefulness of a second reference translation of the development data.
Small fibers in Fabry disease: baseline and follow‐up data under enzyme replacement therapy

Fabry disease (FD) is an X‐linked lysosomal storage disorder which may lead to impaired peripheral nerve function, mostly affecting small nerve fibers, and to neuropathic pain. Characteristics of the neuropathy associated with FD and the covariates for its development and temporal course have not been described in a large cohort. We studied small fiber function and morphology in 120 Fabry patients at baseline and in subgroups of these until 4‐year follow‐up. Baseline neurological (89/120) and electrophysiological (106/120) examination was mostly normal. Quantitative sensory testing revealed impaired cold detection thresholds in 84% of men and 39% of women. Lower leg intraepidermal nerve fiber density (IENFD) was reduced to 46% in Fabry patients compared to controls and to 12.5% in men with impaired renal function. Patients with abnormal IENFD more often had pain. Group means for IENFD did not improve under enzyme replacement therapy (ERT), but IENFD in the back increased under ERT in 4/15 patients with good renal function and clinical improvement. Cutaneous cytokine gene expression did not differ from controls. We conclude that ERT may improve proximal skin innervation in patients with good renal function, but does not protect small fiber function in men with impaired renal function.