gebhart/patrepeval huggingface dataset:
An AzTEC 1.1mm Survey of a Highly-biased Extragalactic Field - Tracing Accelerated Galaxy Formation at z~3.8 towards 4C41.17 (2007)

Aztec has recently conducted a sensitive, wide-area (300 sq. arcmin's) continuum survey at 1.1mm using the 15-m James Clerk Maxwell Telescope towards 4C41.17, a powerful high-redshift (z 3.8) radio galaxy. These Aztec data, which cover an area &gt;40 times larger than our previous SCUBA survey, reveal a significant over-density of luminous, massive dust-enshrouded galaxies, compared to the results from lower-redshift blank-field sub-mm surveys. One natural interpretation of these new AzTEC data is that the over-density is tracing a large (5 x 5 Mpc) "proto-cluster" structure at z 3.8 associated with the environment of 4C41.17, within which the formation of ultra-luminous starburst galaxies (with rest-frame FIR luminosities &gt;5 x 10^12 Lsun or SFRs &gt; 500 Msun/yr) is taking place at an accelerated rate. Proving the physical association of these massive optically-faint starbursts with the environment of this high-z AGN, and not with the blank-field sub-mm population, for which 50% of the population lies at 1.9 &lt; z &lt; 2.9, remains an outstanding problem. In this presentation we will describe the AzTEC survey, the empirical evidence for this protocluster structure in the early universe, and the planned multi-wavelength follow-up observations of the brightest AzTEC sources towards 4C41.17 that may demonstrate that we are witnessing accelerated galaxy formation, via an increased rate of merging gas-rich galaxies within a rapidly-developing gravitational potential. AzTEC is one of the suite of instruments destined for the 50-m Large Millimeter Telescope (LMT). We will conclude this presentation with a summary of future LMT observations that will trace the evolution of obscured starformation in the dynamic environments towards a significant sample of intermediate and high-z powerful AGN with greater sensitivity and spatial resolution.
Development of guardrail to bridge rail transition (1988)

Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.
Exact likelihood ratio tests for penalised splines (2005)

Penalised-spline-based additive models allow a simple mixed model representation where the variance components control departures from linear models. The smoothing parameter is the ratio of the random-coefficient and error variances and tests for linear regression reduce to tests for zero random-coefficient variances. We propose exactlikelihood and restricted likelihood ratio tests for testing polynomial regression versus a general alternative modelled by penalised splines. Their spectral decompositions are used as the basis of fast simulation algorithms. We derive the asymptotic local power properties of the tests under weak conditions. In particular we characterise the local alternatives that are detected with asymptotic probability one. Confidence intervals for the smoothing parameter are obtained by inverting the tests for a fixed smoothing parameter versus a general alternative. We discuss F and R tests and show that ignoring the variability in the smoothing parameter estimator can have a dramatic effect on their null distributions. The powers of several known tests are investigated and a small set of tests with good power properties is identified. The restricted likelihood ratio test is among the best in terms of power. Copyright 2005, Oxford University Press.
Isometric contraction force measurement of hiPSC-CMs on a movable plate with a feedback-controlled MEMS cantilever probe (2021)

Abstract We propose a measurement method with a feedback system to evaluate the contraction forces of human iPS cell-derived cardiomyocytes (hiPSC-CMs) in a dynamic mechanical environment. The measurement of the hiPSC-CM contraction forces is important for regenerative medicine; however, conventional methods are not able to evaluate these forces when the cells are subjected to a dynamic load similar to that from the heart. The proposed measurement system is composed of a micromachined piezoresistive cantilever attached to a feedback-controlled piezo stage and a micromachined movable plate where cells are cultured. A high sampling rate (2 kHz) and real-time control of the cell length were realized via the feedback-controlled piezo stage, while the contraction forces were measured by the cantilever. We evaluated the contraction forces of hiPSC-CMs in conditions of isometric and auxotonic contractions. Due to feedback-controlled loading for isometric contraction, the cell shrinkage was controlled to be less than 200 nm. Auxotonic contraction forces of 3.9 μN were measured without feedback control, while the contraction forces of isometric contraction were 6.0 μN with feedback-controlled loading. The results showed that the method leads to a work-loop evaluation of the hiPSC-CM cardiac cycle.
Advances in Computing and ALS: Reflections on Directions for Enhancing the Quality of Life (2008)

Invited Talk Creative application of computing… Human-computer interaction Machine learning & intelligence Connectivity & content Robotics … to enhance the quality of life of people with ALS.
Traffic-Aware Training and Scheduling for MISO Wireless Downlink Systems (2015)

In this paper, the problem of feedback and active user selection in multiple-input single-output (MISO) wireless systems such that the system's stability region is as big as possible is examined. The focus is on a system in a Rayleigh fading environment where zero forcing precoding is used to serve all active users in every slot. Acquisition of the channel states is done via uplink training in time division duplexing mode by the active users. Clearly, only a subset of users can perform uplink training and the selection of this subset is a challenging and interesting problem especially in MISO systems. The stability regions of a baseline centralized scheme and two novel decentralized policies are examined analytically. In the decentralized schemes, the transmitter broadcasts periodically the queue state information and the users contend for the channel in a carrier sense multiple access-based manner with parameters based on the outdated queue state information and real-time channel state information. We show that, using infrequent signaling between the base station and the users, the decentralized policies outperform the centralized policy. In addition, a threshold-based user selection and training scheme for discrete-time contention is proposed. The results of this paper imply that, as far as stability is concerned, the users must be involved in the active user selection and feedback/training decision. This should be leveraged in future communication systems.
Genetic Analysis of Histoplasma capsulatum Strains Isolated from Clinical Specimens in Thailand by a PCR-Based Random Amplified Polymorphic DNA Method (1998)

Thirteen strains of Histoplasma capsulatum were isolated from clinical specimens, including those from AIDS patients, in Thailand. Random amplified polymorphic DNA (RAPD) analysis with three different PCR primers showed that the DNA fingerprint patterns of the Thai isolates were very similar to each other and homogeneous, with only one exceptional strain, although the patterns were clearly different from those of a reference North American strain with all primers tested. Although the difference in the DNA fingerprinting patterns was minor, Thai isolates could be classified into two to four groups. A common PCR band (about 700 bp) in the patterns of all H. capsulatum strains was extracted, and its DNA sequence was determined. A new PCR primer set for the identification of H. capsulatum species was developed based on this sequence information. This primer set was 100% successful in the identification of the reference strain as well as all Thai isolates. The results of specificity tests of the primer set for the identification of the fungus are also discussed.
Factors Associated with Fouling in the Process Industry (2004)

Abstract This study is concerned with the sequence and character of the events that take place after the initial exposure of the surface to the product, that is, the buildup and composition of a conditioning film on the surface. Calculations show that for short transient studies, conditioning film measurements can be made to values as small as 3.0 microns. Utilizing higher heating rates (5 W/cm2) and shorter transients allow measurements to 2.0 microns. This type of monitoring system can function as an alarm device to signal when a critical point of biofilm buildup is reached. Maintenance procedures can be initiated at the proper time rather than at arbitrary intervals, thus minimizing down time and ensuring product safety. Conclusions include methods to monitor and control the conditioning film formation and deposit growth for various process industries.
Qualitative 3-T Proton MR Spectroscopy for the Characterization of Musculoskeletal Neoplasms: Update on Diagnostic Performance and Indications (2017)

Qualitative 3-T <sup>1</sup>H-MRS cannot be used to characterize bone tumors. This technique has good sensitivity but poor specificity for the characterization of soft-tissue lesions.
Reduction of Quantization Noise in PCM Speech Coding. (1979)

A new technique to reduce the effect of quantization noise in PCM speech coding is proposed. The procedure consists of using dither noise to ensure that the quantization errors can be modeled as additive signal-independent noise, and then reducing this noise through the use of a noise reduction system. The procedure is illustrated with examples.
Predicting Users’ Movie Preference and Rating Behavior from Personality and Values (2020)

In this article, we propose novel techniques to predict a user’s movie genre preference and rating behavior from her psycholinguistic attributes obtained from the social media interactions. The motivation of this work comes from various psychological studies that demonstrate that psychological attributes such as personality and values can influence one’s decision or choice in real life. In this work, we integrate user interactions in Twitter and IMDb to derive interesting relations between human psychological attributes and their movie preferences. In particular, we first predict a user’s movie genre preferences from the personality and value scores of the user derived from her tweets. Second, we also develop models to predict user movie rating behavior from her tweets in Twitter and movie genre and storyline preferences from IMDb. We further strengthen the movie rating model by incorporating the user reviews. In the above models, we investigate the role of personality and values independently and combinedly while predicting movie genre preferences and movie rating behaviors. We find that our combined models significantly improve the accuracy than that of a single model that is built by using personality or values independently. We also compare our technique with the traditional movie genre and rating prediction techniques. The experimental results show that our models are effective in recommending movies to users.
Formalizing and achieving multiparty agreements via commitments (2005)

Multiparty agreements often arise in a multiagent system where autonomous agents interact with each other to achieve a global goal. Multiparty agreements are traditionally represented by messaging protocols or event-condition-action rule sets in which agents exchange messages in a predefined sequence to ensure both global and local consistency. However, these models do not readily incorporate agents' autonomy and heterogeneity, which limits their ability to help build a flexible open system. Commitments have been studied for modelling various agent interactions. They have also been used as the key elements for formulating multi-party agreements and centralized approaches for resolving potential conflicts. This paper extends the above results by refining the formalizations and the existing protocols and proposing a decentralized protocol which is more efficient in resolving conflicts. It also introduces the concept of protocol safety, which ensures that agents not only interact efficiently but also correctly. This approach is geared toward constructing business processes where agents are mutually constraints in a manner that preserves their autonomy and heterogeneity.
Nanomaterials in Fracturing Applications (2012)

Abstract Cross-linked fluids have been used in the oil industry for more than 40 years in applications such as hydraulic fracturing and water control. Today, these fluids need to be reformulated in order to respond to new challenges, such as harsher reservoir conditions and they also need to comply with tighter environmental legislation. Nanotechnology may well provide an answer to this end. By utilizing unique features such as high surface/volume ratio and specific surface functionalisation, we are able to change the nature of the cross-linking and hence better achieve the required gel properties. This paper describes the synthesis of a series of boronic acid functionalised nanoparticles and their application to guar crosslinking. In particular, the synthesis of 15 nm boronic acid functionalized polymeric nanomaterials (also called nanolatexes), using microemulsion polymerization were investigated. Such nanodevices showed, for the first time to our knowledge, unique crosslinking properties with guar. It was found that these larger crosslinkers, as compared to standard borate molecules, can crosslink guar at much lower polymer concentrations, effectively lowering the critical overlap concentration of the polymer. We were also able to generate stronger gels over a wide range of guar concentrations. Furthermore, the optimal amount of boron required to achieve these gels was of the order 20 times lower than that with conventional borates. This result suggested that the efficiency of the crosslinking was much higher in the case of the nanoparticles. Several rheological and stability tests were performed under field conditions and these indicate these systems have potential uses as oilfield materials. The influence of the surface chemistry of the nanoparticles was also studied along with other functionalization of other nano-materials, such as nano-silica and graphite. These results will also be presented.
Role of the Binuclear Manganese(II) Site in Xylose Isomerase (2000)

In the last 10 years extensive work by a variety of groups was un­ dertaken to elucidate the structural and mechanistic aspects of the iso­ merization reaction and to understand the role and the spectroscopic properties of the metal binding sites. Mainly on the basis of X-ray crys­ tallographic work, a metal-mediated 1,2-hydride shift mechanism was postulated, which is now the generally accepted scheme for the mecha­ nism (Fig. 1). This is in contrast to the well-studied proton transfer mechanism, which involves the formation of an ene-diol or diolate in­ termediate, and is utilized by the metal ion-independent phosphosugar isomerases such as triose-phosphate isomerase [16,17].
Fast Inverter Control by Learning the OPF Mapping using Sensitivity-Informed Gaussian Processes (2022)

Fast inverter control is a desideratum towards the smoother integration of renewables. Adjusting inverter injection setpoints for distributed energy resources can be an effective grid control mechanism. However, finding such setpoints optimally requires solving an optimal power flow (OPF), which can be computationally taxing in real time. This work proposes learning the mapping from grid conditions to OPF minimizers using Gaussian processes (GPs). This GP-OPF model predicts inverter setpoints when presented with a new instance of grid conditions. Training enjoys closed-form expressions, and GP-OPF predictions come with confidence intervals. To improve upon data efficiency, we uniquely incorporate the sensitivities (partial derivatives) of the OPF mapping into GP-OPF. This expedites the process of generating a training dataset as fewer OPF instances need to be solved to attain the same accuracy. To further reduce computational efficiency, we approximate the kernel function of GP-OPF leveraging the concept of random features, which is neatly extended to sensitivity data. We perform sensitivity analysis for the second-order cone program (SOCP) relaxation of the OPF, whose sensitivities can be computed by merely solving a system of linear equations. Extensive numerical tests using real-world data on the IEEE 13- and 123-bus benchmark feeders corroborate the merits of GP-OPF.
Feature fluctuation absorption for a quick audio retrieval from long recordings (2002)

Kashino et al. proposed (1999) a histogram-based quick signal search method called time-series active search (TAS). TAS has only been effective in the exact matching case, where the segments to be detected are assumed to be exactly same as the reference signal. Here, we extend the method so that it is applicable even if the features fluctuate. In addition to the feature modification, feature dithering is discussed to absorb feature fluctuations. Efficient time-scaled search is also investigated to cope with variations of the reference signal duration. Tests using broadcast recordings show that the extended method improves the accuracy in nonexact-matching tasks such as hand-clap detection and word spotting in a single-speaker's narration. The tests also show the speed-ups by pruning introduced in the time-scaled search.
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems (2017)

The problem of estimating a random vector x from noisy linear measurements y = A x + w with unknown parameters on the distributions of x and w, which must also be learned, arises in a wide range of statistical learning and linear inverse problems. We show that a computationally simple iterative message-passing algorithm can provably obtain asymptotically consistent estimates in a certain high-dimensional large-system limit (LSL) under very general parameterizations. Previous message passing techniques have required i.i.d. sub-Gaussian A matrices and often fail when the matrix is ill-conditioned. The proposed algorithm, called adaptive vector approximate message passing (Adaptive VAMP) with auto-tuning, applies to all right-rotationally random A. Importantly, this class includes matrices with arbitrarily poor conditioning. We show that the parameter estimates and mean squared error (MSE) of x in each iteration converge to deterministic limits that can be precisely predicted by a simple set of state evolution (SE) equations. In addition, a simple testable condition is provided in which the MSE matches the Bayes-optimal value predicted by the replica method. The paper thus provides a computationally simple method with provable guarantees of optimality and consistency over a large class of linear inverse problems.
Changes in the ankle-brachial blood pressure index among hemodialysis patients (2016)

Background: The ankle-brachial blood pressure index (ABI) is an independent predictor of mortality in hemodialysis patients. In the present study, we investigated the factors that predict changes in the ABI in hemodialysis patients. Methods: A total of 61 consecutive patients receiving maintenance hemodialysis who successfully underwent ABI examinations in 2005 and 2011 were enrolled in this study. The change in the ABI (2011 measurement versus 2005 measurement) was estimated. We set the baseline at 2011 and investigated the patient outcomes. Furthermore, we compared the change in the ABI and several clinical factors observed in 2005. Results: The mean follow-up period was 3.1 0.7 years. In the univariate Cox proportional hazard analysis, predictive variables for mortality included ABI (0.43 [0.25-0.64]; [per 0.1 increase]) and the change in the ABI (0.62 [0.49-0.79]; [per 0.1 increase]). Patient age was negatively correlated and the serum creatinine level was positively correlated with the change in the ABI (P = 0.030 and 0.022, respectively). Conclusions: We confirmed that not only the value of the ABI itself but also the change in the ABI was a risk factor for mortality among hemodialysis patients. The change in the ABI was negatively correlated with age and was positively correlated with the serum creatinine level. Careful observation of the ABI is needed for old patients and patients with a low serum creatinine level.
Role of the Hydration Shell in the pH-Dependent Adsorption of Maleic Acid (2021)

Past model studies have investigated adsorption processes on carbonaceous surfaces, focusing on gas-phase adsorption and thus uncharged molecules. In real-world applications, the adsorption from solutions is oftentimes of higher interest though, bringing charged species into the equation. In aqueous solutions, the first water layer with its stabilizing hydrogen bonds is especially important for the overall stability of the system. In this study, we use ab initio density functional theory for modeling the adsorption of (charged) maleic acid on a graphene sheet along with experimental validation of the computational results. We find that including a water layer makes a substantial difference in the conformation of charged adsorbed molecules. The results obtained are also in good agreement with the corresponding experiments.
Skin molecule maps using mass spectrometry (2015)

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Speech Dereverberation (2011)

Speech dereverberation is a signal processing technique of key importance for successful hands-free speech acquisition in applications of telecommunications and automatic speech recognition. Over the last few years, speech dereverberation has become a hot research topic driven by consumer demand, the availability of terminals based on Skype which encourage hands-free operation and the development of promising signal processing algorithms. Speech Dereverberation gathers together an overview, a mathematical formulation of the problem and the state-of-the-art solutions for dereverberation. Speech Dereverberation presents the most important current approaches to the problem of reverberation. It begins by providing a focused and digestible review of the relevant topics in room acoustics and also describes key performance measures for dereverberation. The algorithms are then explained together with relevant mathematical analysis and supporting examples that enable the reader to see the relative strengths and weaknesses of the various techniques, as well as giving a clear understanding of the open questions still to be addressed in this topic. Techniques rooted in speech enhancement are included, in addition to a substantial treatment of multichannel blind acoustic system identification and inversion. The TRINICON framework is shown in the context of dereverberation to be a powerful generalization of the signal processing for a important range of analysis and enhancement techniques. Speech Dereverberation offers the reader an overview of the subject area, as well as an in-depth text on the advanced signal processing involved. The book benefits the reader by providing such a wealth of information in one place, defines the current state of the art and, lastly, encourages further work on this topic by offering open research questions to exercise the curiosity of the reader. It is suitable for students at masters and doctoral level, as well as established researchers.