gebhart/patrepeval huggingface dataset:
Predicting Device-to-Device Channels From Cellular Channel Measurements: A Learning Approach (2020)

Device-to-device (D2D) communication, which enables a direct connection between users while bypassing the cellular channels to base stations (BSs), is a promising way to offload the traffic from conventional cellular networks. In D2D communication, optimizing the resource allocation requires the knowledge of D2D channel gains. However, such knowledge is hard to obtain at reasonable signaling costs. In this paper, we show this problem can be circumvented by tapping into the information provided by the estimated cellular channels between the users and surrounding BSs as these channels are estimated anyway for a normal operation of the network. While the cellular and D2D channel gains exhibit independent fast fading behavior, we show that average gains of the cellular and D2D channels share a non-explicit relation, which is rooted into the network topology, terrain, and buildings setup. We propose a deep learning approach to predict the D2D channel gains from seemingly independent cellular channels. Our results show a high degree of convergence between the true and predicted D2D channel gains. Moreover, we demonstrate the robustness of the proposed scheme against environment changes and inaccuracies during the offline training. The predicted gains allow to reach a near-optimal capacity in many radio resource management algorithms.
SGL (2008)

We propose to demonstrate SGL, a language and system for writing computer games using data management techniques. We will demonstrate a complete game built using the system, and show how complex game behavior can be expressed in a declarative scripting language. The demo will also illustrate the workflow necessary to modify a game and include a visualization of the relational operations that are executed as the game runs.
Exploiting Parallelism with Dependence-Aware Scheduling (2009)

It is well known that a large fraction of applications cannot be parallelized at compile time due to unpredictable data dependences such as indirect memory accesses and/or memory accesses guarded by data-dependent conditional statements. A significant body of prior work attempts to parallelize such applications using runtime data-dependence analysis and scheduling. Performance is highly dependent on the ratio of the dependence analysis overheads with respect to the actual amount of parallelism available in the code. We have found that the overheads are often high and the available parallelism is often low when evaluating applications on a modern multicore processor. We propose a novel software-based approach called dependence-aware scheduling to parallelize loops with unknown data dependences. Unlike prior work, our main goal is to reduce the negative impact of dependence computation, such that when there is not an opportunity of getting speedup, the code can still run without much slowdown. If there is an opportunity, dependence-aware scheduling is able to yield very impressive speedup. Our results indicate that dependence-aware scheduling can greatly improve performance, with up to 4x speedups, for a number of computation intensive applications. Furthermore, the results also show negligible slowdowns in a stress test, where parallelism is continuously detected but not exploited.
SIP1 (Smad interacting protein 1) and deltaEF1 (delta-crystallin enhancer binding factor) are structurally similar transcriptional repressors. (2001)

Mutations in components of the TGFbeta signalling pathways have been associated with disease and congenital malformations. We anticipate that identification of Smad interacting transcription factors including SIP1 and their targets will help us to understand the molecular basis of certain pathologies.
Image resizing in the discrete cosine transform domain (2002)

Image resizing is a task that must often be done when processing digital images. We present a novel approach to resize images by operating entirely in the discrete cosine transform (DCT) domain. We implement the lowpass filter for anti-aliasing or anti-imaging using the convolution-multiplication property of the DCT. We perform the equivalent of pixel-domain downsampling or upsampling by simple manipulation of the DCT coefficients. Our approach can be used as a standalone image resizing tool or it can be integrated into any image compression system based on a block DCT, such as JPEG, to provide an image resizing capability with relatively little additional complexity.
Lane-Attention: Predicting Vehicles’ Moving Trajectories by Learning Their Attention Over Lanes (2020)

Accurately forecasting the future movements of surrounding vehicles is essential for safe and efficient operations of autonomous driving cars. This task is difficult because a vehicle's moving trajectory is greatly determined by its driver's intention, which is often hard to estimate. By leveraging attention mechanisms along with long short-term memory (LSTM) networks, this work learns the relation between a driver's intention and the vehicle's changing positions relative to road infrastructures, and uses it to guide the prediction. Different from other state-of-the-art solutions, our work treats the on-road lanes as non-Euclidean structures, unfolds the vehicle's moving history to form a spatio-temporal graph, and uses methods from Graph Neural Networks to solve the problem. Not only is our approach a pioneering attempt in using non-Euclidean methods to process static environmental features around a predicted object, our model also outperforms other state-of-the-art models in several metrics. The practicability and interpretability analysis of the model shows great potential for large-scale deployment in various autonomous driving systems in addition to our own.
Metal-hydrogen battery. [17. 5 A, 35 Ah] (1978)

A rechargeable metal oxide-hydrogen battery that operates on the back-to-back electrode placement theory as opposed to single metal oxide-hydrogen couple cells is disclosed. Interconnecting of electrodes in series and construction of an electrode stack of series-connected electrodes is utilized in one embodiment in place of bipolar construction to achieve high voltage operation. In a second embodiment, back-to-back construction is used for positive electrodes in a parallel arrangement of electrode connection to complete an operative cell. Individual cells are separated by a nonporous polymer seperator which avoids the formation of electrolyte films which tend to short each cell electrochemically, yet are fashioned of light weight and volume to keep sizes to minimum dimensions. Interconnection of various cells is by means of bus bars coupled to electrode tabs. The entire stack of cells is held under compression by end plates and one or more tie rods, or, in the case of prismatic cell design, the stack can be held under compression by the walls of the battery container. 6 figures.
Skeletal Muscle-derived Myonectin Activates the Mammalian Target of Rapamycin (mTOR) Pathway to Suppress Autophagy in Liver (2013)

Cells turn on autophagy, an intracellular recycling pathway, when deprived of nutrients. How autophagy is regulated by hormonal signals in response to major changes in metabolic state is not well understood. Here, we provide evidence that myonectin (CTRP15), a skeletal muscle-derived myokine, is a novel regulator of cellular autophagy. Starvation activated liver autophagy, whereas nutrient supplementation following food deprivation suppressed it; the former and latter correlated with reduced and increased expression and circulating levels of myonectin, respectively, suggestive of a causal link. Indeed, recombinant myonectin administration suppressed starvation-induced autophagy in mouse liver and cultured hepatocytes, as indicated by the inhibition of LC3-dependent autophagosome formation, p62 degradation, and expression of critical autophagy-related genes. Reduction in protein degradation is mediated by the PI3K/Akt/mTOR signaling pathway; inhibition of this pathway abrogated the ability of myonectin to suppress autophagy in cultured hepatocytes. Together, our results reveal a novel skeletal muscle-liver axis controlling cellular autophagy, underscoring the importance of hormone-mediated tissue cross-talk in maintaining energy homeostasis.
Synchronization of Ion Exchangers by an Oscillating Electric Field: Theory (2008)

Can we physically manipulate functions of membrane proteins, such as ion exchangers, especially the active transporters? This is a fascinating question which has attracted many scientists. Recently, we developed a new technique that we call synchronization modulation with which we realized significant (many-folds) activation of Na/K pumps by a well-designed oscillating electric field. In this technique, we consider activation of the pump molecules as a dynamic entrainment procedure, where individual pumps are first entrained to run at the same pumping rate and phase as the oscillating electric field and then the two transports are electrically facilitated separately and alternately by gradually increasing the field oscillating frequency. The procedure consists of two steps: synchronization and modulation. In this paper, we discuss the underlying mechanism involved in the first step: synchronization of the pump molecules.
Adaptive Model for Filtering of Stimulation Artifacts in Multichannel Records of Neuronal Activity (2007)

The present paper is devoted to suppression of spurious signals (artifacts) in records of neural activity during deep brain stimulation. An approach based on a nonlinear adaptive model with self‐oscillations is proposed.
Application of joint channel and data estimation algorithms for short block detection (2002)

This paper presents studies of the expectation-maximization (EM) algorithm and its modifications for joint channel estimation and short block detection in frequency selective channels. To facilitate the EM convergence in case of short blocks, we introduce a penalized update for channel re-estimates in semi-blind detection. For channels with intersymbol interference, we suggest a simple method to improve accuracy of channel re-estimates (channel model inverse) that may be embedded into EM-based detectors. Application of the EM-based detectors for schemes with transmitting diversity in EDGE (enhanced data rates for GSM evolution) provides more than 1dB gain.
(Invited) Vertical Tunnel FETs Using III-V Nanowire/Si Heterojunctions (2014)

We report on vertical tunnel field-effect transistors (TFETs) using III-V nanowire (NW)/Si heterojunctions. III-V nanowire (NW) was heterogeneously integrated on Si by selective-area growth with precise positioning. The III-V NW/Si heterojunction consisting of a few misfit dislocations shows a large Zener tunnel current under positive bias and band-to-band tunneling current under forward bias. The vertical TFET using InGaAs NW/Si heterojunction, which is vertical surrounding-gate architecture, demonstrated a steep turn-on behavior and very low parasitic leakage current.
A Bistable Electromagnetic Actuated Microvalve With Integrated Switching Mechanism (2003)

This paper presents a new design and fabrication method for a bistable electromagnetic actuated microvalve. The complete magnetically close structure has been designed by ANSYS 5.7 [1] and was fabricated in 7 masks steps. The fabrication processes were entirely done by surface micromachining and electroplating on a single wafer with the maximum fabrication temperature of 300 °C, providing potentially a CMOS compatible process. The microvalve has additional feature called integrated switching mechanism used to detect the position of the membrane under fully open or closed position. The fabrication steps for the microvalve are different from previous work; the hole is etched through the back of wafer after the whole valve structure been built on the top of wafer. This provides the flexibility to fabricate an actuator first before finally producing a microvalve.
Simple Multichannel Optical Equalizer Mitigating Intersymbol Interference for 40-Gb/s Nonreturn-To-Zero Signals (2004)

We present a simple, silica waveguide optical equalizer that significantly mitigates intersymbol interference (ISI) impairments for many wavelength-division multiplexed (WDM) channels simultaneously. We study the mitigation of ISI arising from band-limited transmitters, narrow-band optical filtering, chromatic dispersion, and polarization-mode dispersion (PMD). We demonstrate significant improvements, both single- and multichannel, at 40 Gb/s with a single, potentially set-and-forget device.
ChemInform Abstract: Synthesis and Oxidation Reactions of a User‐ and Eco‐Friendly Hypervalent Iodine Reagent. (2002)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Minimally invasive and targeted therapeutic cell delivery to the skin using microneedle devices (2017)

Hollow microneedles provide an innovative and minimally invasive method for delivering functional cells into the skin. Microneedle cell delivery represents a potential new treatment option for cell therapy approaches including skin repigmentation, wound repair, scar and burn remodelling, immune therapies and cancer vaccines.
Relative pitch estimation of multiple instruments (2009)

We present an algorithm based on probabilistic latent component analysis and employ it for relative pitch estimation of multiple instruments in polyphonic music. A multilayered positive deconvolution is performed concurrently on mixture constant-Q transforms to obtain a relative pitch track and timbral signature for each instrument. Initial experimental results on mixtures of two instruments are quite promising and show high levels of accuracy.
Multi-Channel Delay Sensitive Scheduling for Convergecast Network (2020)

Motivated by an increasing interest in wireless networking in mission-critical applications, and a recent amendment of the time slotted channel hopping to IEEE 802.15.4, the multichannel delay sensitive scheduling is investigated in the many-to-one network, which is also known as the convergecast network. In such a network, each node has data to be transmitted to a gateway through multi-hop communications. As a realistic setting, packet release time at each node is not assumed to be uniform. Under this assumption, the goal of this work is to design a scheduling scheme that minimizes the schedule length and maximum end-to-end delay, in which the former is essential for repetitive data acquisition, whereas the later improves the freshness of the acquired data. To achieve the scheduling goal, the problem is formulated as a multi-objective integer programming. To obtain a feasible solution and gain an insight into the problem, a lower bound on the schedule length is derived. Based on that, a new scheduling scheme is designed to minimize the two objectives simultaneously. Link level simulations verify the performance improvement of the proposed scheme over the existing schemes.
Y-Junction semiconductor laser arrays: Part II--Experiments (1987)

Laser arrays employing <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Y</tex> -junctions to coherently couple the emitters in-phase have been fabricated by metalorganic chemical vapor deposition. The far-field patterns are stable and centered normal to the facet. They are typically multilobed in accordance with the diffraction pattern of multiple emitters. By the use of flared waveguides near the facets the near-field fill factor can be increased to greater than 80 percent. This modification concentrates the radiation in the central diffraction lobe. Power outputs of 200 mW CW have been obtained from a ten element array of 1.5μm wide emitters.
PLUMENet: Efficient 3D Object Detection from Stereo Images (2021)

3D object detection is a key component of many robotic applications such as self-driving vehicles. While many approaches rely on expensive 3D sensors such as LiDAR to produce accurate 3D estimates, methods that exploit stereo cameras have recently shown promising results at a lower cost. Existing approaches tackle this problem in two steps: first depth estimation from stereo images is performed to produce a pseudo LiDAR point cloud, which is then used as input to a 3D object detector. However, this approach is suboptimal due to the representation mismatch, as the two tasks are optimized in two different metric spaces. In this paper we propose a model that unifies these two tasks and performs them in the same metric space. Specifically, we directly construct a pseudo LiDAR feature volume (PLUME) in 3D space, which is then used to solve both depth estimation and object detection tasks. Our approach achieves state-of-the-art performance with much faster inference times when compared to existing methods on the challenging KITTI benchmark [1].
Mechanical Cardiac Support With an Implantable Direct Cardiac Compression Device: Proof of Concept (2022)

Systolic and diastolic cardiac assistance can be achieved with this device that compresses and relaxes in synchrony with the native cardiac cycle.
Analysis of Bloch-surface-wave assisted diffraction-based biosensors (2009)

A systematic study of Bloch surface wave (BSW) properties and applications in diffraction-based biosensors is presented. The design of such devices starts with the calculation of the BSW dispersion relation for a semi-infinite one-dimensional photonic crystal. We propose an approach in which polarization and 1DPC termination effects are simply described. Since in a realistic device the number of periods is limited, we investigate the issues arising from finite size effects and the choice of a structure substrate. Diffraction efficiency is studied as a function index contrast, multilayer termination, grating thickness, and number of periods. Numerical examples for Si/SiO2 and a-Si1−xNx:H periodic dielectric stacks are presented, showing that BSW can be exploited for the realization of efficient diffraction-based biosensors from the infrared to the visible range.
Making Name-Based Content Routing More Efficient than Link-State Routing (2018)

The Diffusive Name-based Routing Protocol (DNRP) is introduced for efficient name-based routing in information-centric networks (ICN). DNRP establishes and maintains multiple loop-free routes to the nearest instances of a name prefix using only distance information. DNRP eliminates the need for periodic updates, maintaining topology information, storing complete paths to content replicas, or knowing about all the sites storing replicas of named content. DNRP is suitable for large ICNs with large numbers of prefixes stored at multiple sites. It is shown that DNRP provides loop-free routes to content independently of the state of the topology and that it converges within a finite time to correct routes to name prefixes after arbitrary changes in the network topology or the placement of prefix instances. The result of simulation experiments illustrates that DNRP is more efficient than link-state routing approaches.
Design and control of a robotic lower extremity exoskeleton for gait rehabilitation (2011)

Design and control of an active knee rehabilitation orthotic system called ANdROS that was designed as a wearable and portable gait rehabilitation tool is presented. A corrective force field that reinforces a desired gait pattern is applied to the patient's impaired leg around the knee joint via an impedance controlled exoskeleton. The impedance controller is synchronized with the patient's walking phase which is estimated from the kinematic measurements of the healthy leg. The performance of the controller is evaluated through bench-testing.
Selective laser-induced photochemical dry etching of semiconductors controlled by ion-bombardment-induced damage (1987)

The etch rate of a solid-excitation-based photochemical etching process for semiconductor materials is determined by the balance between recombination of photogenerated carriers and carrier participation in the surface etching reaction. Ion-implantation-induced damage of the semiconductor can shift the balance between recombination and reaction, permitting selective etching of undamaged regions of a semiconductor surface relative to ion-implanted, damaged regions. Spatially selective photochemical dry etching of n-GaAs has been achieved by this approach. 10 refs.
Ultrasound imaging apparatus for providing simultaneous B-scan and Doppler data (1984)

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MRI of CEST-Based Reporter Gene (2011)

In recent years, several reporter genes have been designed for non-invasive magnetic resonance imaging (MRI). Here, we offer a brief summary of recent advances in MRI reporter gene technology, as well as elaborated protocols for cloning, expression, and imaging of reporter genes based on a chemical exchange saturation transfer (CEST) method. These protocols emphasize new developments in CEST-MRI data acquisition and processing.
Circuit modeling of the electrical impedance: II. Normal subjects and system reproducibility (2013)

Part I of this series showed that the five-element circuit model accurately mimics impedances measured using multi-frequency electrical impedance myography (MFEIM), focusing on changes brought on by disease. This paper addresses two requirements which must be met if the method is to qualify for clinical use. First, the extracted parameters must be reproducible over long time periods such as those involved in the treatment of muscular disease, and second, differences amongst normal subjects should be attributable to known differences in the properties of healthy muscle. It applies the method to five muscle groups in 62 healthy subjects, closely following the procedure used earlier for the diseased subjects. Test-retest comparisons show that parameters are reproducible at levels from 6 to 16% (depending on the parameter) over time spans of up to 267 days, levels far below the changes occurring in serious disease. Also, variations with age, gender and muscle location are found to be consistent with established expectations for healthy muscle tissue. We conclude that the combination of MFEIM measurements and five-element circuit analysis genuinely reflects properties of muscle and is reliable enough to recommend its use in following neuromuscular disease.
Single-frequency output from a broadband-tunable external fiber-cavity laser (1988)

Single-frequency operation is demonstrated by using a semiconductor laser coupled to a tunable fiber-optic reflective filter. This external fiber-cavity laser is stepwise tunable over a 66-nm range centered around 1300 nm. Short-term laser linewidths are measured to be less than 50 kHz.
Retrieval of short ocean wave slope using polarimetric imaging (2008)

We present a passive optical remote sensing technique for recovering shape information about a water surface, in the form of a two-dimensional slope map. The method, known as polarimetric slope sensing (PSS), uses the relationship between surface orientation and the change in polarization of reflected light to infer the instantaneous two-dimensional slope across the field-of-view of an imaging polarimeter. For unpolarized skylight, the polarization orientation and degree of linear polarization of the reflected skylight provide sufficient information to determine the local surface slope vectors. A controlled laboratory experiment was carried out in a wave tank with mechanically generated gravity waves. A second study was performed from a pier on the Hudson River, near Lamont-Doherty Earth Observatory. We demonstrated that the two-dimensional slope field of short gravity waves could be recovered accurately without interfering with the fluid dynamics of the air or water, and water surface features appear remarkably realistic. The combined field and laboratory results demonstrate that the polarimetric camera gives a robust characterization of the fine-scale surface wave features that are intrinsic to wind-driven air–sea interaction processes.