gebhart/patrepeval huggingface dataset:
DCT-based channel estimation techniques for LTE uplink (2009)

We investigate channel estimation for long term evolution (LTE) uplink over frequency-selective fading multiple-input multiple-output (MIMO) channels. As the conventional DFT-based channel estimation algorithm used for obtaining the channel impulse response (CIR) in wide band may not be applicable in narrow band of LTE uplink, which results an irreducible error floor, we propose an novel channel estimation based on discrete cosine transform (DCT), assuming only two users transmit simultaneously in the same frequency band (or SDMA). By exploiting the properties of reference signals of each user, type I DCT can separate channel response of each user in DCT-domain completely. Then, optimal channel estimation in the linear minimal mean square error (MMSE) sense in DCT-domain is derived. Finally, the performance of the proposed channel estimation is verified via simulation.
Kinetic and Equilibrium Binding Characterization of Aptamers to Small Molecules using a Label-Free, Sensitive, and Scalable Platform (2014)

Nucleic acid aptamers function as versatile sensing and targeting agents for analytical, diagnostic, therapeutic, and gene-regulatory applications, but their limited characterization and functional validation have hindered their broader implementation. We report the development of a surface plasmon resonance-based platform for rapid characterization of kinetic and equilibrium binding properties of aptamers to small molecules. Our system is label-free and scalable and enables analysis of different aptamer-target pairs and binding conditions with the same platform. This method demonstrates improved sensitivity, flexibility, and stability compared to other aptamer characterization methods. We validated our assay against previously reported aptamer affinity and kinetic measurements and further characterized a diverse panel of 12 small molecule-binding RNA and DNA aptamers. We report the first kinetic characterization for six of these aptamers and affinity characterization of two others. This work is the first example of direct comparison of in vitro selected and natural aptamers using consistent characterization conditions, thus providing insight into the influence of environmental conditions on aptamer binding kinetics and affinities, indicating different possible regulatory strategies used by natural aptamers, and identifying potential in vitro selection strategies to improve resulting binding affinities.
Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality (2011)

The language-gap, for example between lowliteracy laypersons and highly-technical expert documents, is a fundamental barrier for cross-domain knowledge transfer. This paper seeks to close the gap at the thematic level via topic adaptation, i.e., adjusting the topical structures for cross-domain documents according to a domain factor such as technicality. We present a probabilistic model for this purpose based on joint modeling of topic and technicality. The proposed τLDA model explicitly encodes the interplay between topic and technicality hierarchies, providing an effective topic-level bridge between lay and expert documents. We demonstrate the usefulness of τLDA with an application to consumer medical informatics.
Video Servers: “Shared Storage” for Cost-Effective Realtime Access (1998)

The evolution of disk drives from being simple devices on an independent “storage-only” bus, to being self-sufficient targets on an advanced multipurpose network marks the start of a new paradigm in the design of distributed computing systems. Understanding this new design approach and incorporating it into multichannel VDR systems will pave the way toward the goal of an integrated digital broadcast environment.
Fretting Resistant Coatings for Titanium Alloys (1971)

Abstract : The report describes a program undertaken to establish the effect of airframe design parameters upon the severity of fretting in titanium structures and to determine the ability of selected coatings to prevent fretting induced fatigue failures. A test specimen was designed to simulate a structural joint and a series of fatigue tests was performed to determine the conditions most conducive to fretting initiated failure. It was found that at low stress levels and using tapered interference fit fasteners, the number of fatigue cycles accumulated to the point that fractures originated from fretting damage. A survey was made of titanium coatings technology and testing and three coatings were selected. On the basis of their properties and minimal degradation of Ti- 6Al-6V-2Sn fatigue resistance, a chemical conversion coating and a commercial anodize coating were chosen along with a dry film lubricant. Fatigue tests were made of Ti-6Al-6V-2Sn specimens protected by the coatings from Task II. The coatings essentially eliminated the fretting induced fatigue failures of Task I. Final coating performance verification tests on Ti-6Al-4V and Ti-6Al-2Sn-4Zr-6Mo specimens demonstrated the same improvement using dry film lubricant applied to a shot peened surface.
Light Microscopy of Carbon Steels (1999)

Light Microscopy of Carbon Steels examines the diverse range of microstructures that can be achieved in carbon steels by varying carbon content, heat treatments, and deformation processes. It presents more than 1,200 micrographs, explaining how they were acquired and what they reveal about the constituents, properties, and microstructure of the region in view. Each micrograph is accompanied by data on the composition and condition of the sampled material and the magnification and etching method used to prepare and view the associated test specimen. The images illustrate critical factors in the production of carbon steel parts, including phases and phase transformations, solidification, the effect of alloying elements, annealing and normalizing, graphitization, austenitization, tempering, welding, surface oxidation, decarburization, and scaling. The book also clarifies related nomenclature and includes a glossary of terms. For information on the print version, ISBN 978-0-87170-655-3, follow this link.
Chemical composition of the absolute from gardenia flower. (1978)

The gardenia absolute was separated into basic, phenolic, acidic, lactonic and neutral fractions and analysed by using GC, combined GC-MS, IR and NMR. A total of 130 components was identified. Among them, the characteristic constituents responsible for the sweet-green odor of this flower were jasmin lactone, cis-3-hexenol, esters of cis-3-hexenol, cis-3-hexenoic acid and tiglic acid.
Functional Bimorph Composite Nanotapes (2002)

Single-crystalline nanoribbons were used as substrates for the epitaxial growth of different functional thin films deposited by laser ablation techniques. This simple method yields highly crystalline bilayer nanotapes with sharp structural and compositional interfaces. As an example, Co0.05Ti0.95O2@SnO2 nanotapes are shown to be ferromagnetic at room temperature. These composite nanotapes, with their various possible functionalities, represent an important new class of nanoscale building blocks for optoelectronic applications.
Today's shaky M&A environment: How to avoid legal problems (2002)

Abstract In today's uncertain M&A environment, it is more important than ever to avoid legal problems. The author shows how to do it. © 2003 Wiley Periodicals, Inc.
[Predictive value of myoglobin and D-dimer on severe heat stroke: a clinical analysis of 38 patients with severe heat stroke]. (2019)

The decreased PLT and the increased D-dimer in the early stage of heat stroke indicate that the damage of coagulation mechanism is prominent in patients with heat stroke. EHS patients have the characteristics of acute onset, severe condition, rapid progression and poor prognosis, and the 28-day mortality is significantly higher than that of CHS patients. MYO and D-dimer are sensitive indicators in early stage of heat stroke patients, which can be used as reference for early diagnosis of heat stroke.
The Impact of Osteoarthritis in the United States (2012)

Arthritis, of which osteoarthritis (OA) is the most common type, is the most frequent cause of disability among adults in the United States. The authors reviewed the epidemiologic literature to identify studies that describe the population-based burden of OA-that is, the burden in all adults in the community. They found that 27 million adults-more than 10% of the U.S. adult population-had clinical OA in 2005, and in 2009 OA was the fourth most common cause of hospitalization. OA is the leading indication for joint replacement surgery; 905,000 knee and hip replacements were performed in 2009 at a cost of $42.3 billion. Obesity is a strong risk factor for OA of the knee and hip. Nurses can improve the quality of life of people with OA by raising awareness among their patients and peers of the substantial OA burden and the strategies, such as physical activity, that can reduce it.
In Defense of Classical Image Processing: Fast Depth Completion on the CPU (2018)

With the rise of data driven deep neural networks as a realization of universal function approximators, most research on computer vision problems has moved away from hand crafted classical image processing algorithms. This paper shows that with a well designed algorithm, we are capable of outperforming neural network based methods on the task of depth completion. The proposed algorithm is simple and fast, runs on the CPU, and relies only on basic image processing operations to perform depth completion of sparse LIDAR depth data. We evaluate our algorithm on the challenging KITTI depth completion benchmark, and at the time of submission, our method ranks first on the KITTI test server among all published methods. Furthermore, our algorithm is data independent, requiring no training data to perform the task at hand. The code written in Python will be made publicly available at https://github.com/kujason/ip_basic.
Exploiting iterative-ness for parallel ML computations (2014)

Many large-scale machine learning (ML) applications use iterative algorithms to converge on parameter values that make the chosen model fit the input data. Often, this approach results in the same sequence of accesses to parameters repeating each iteration. This paper shows that these repeating patterns can and should be exploited to improve the efficiency of the parallel and distributed ML applications that will be a mainstay in cloud computing environments. Focusing on the increasingly popular "parameter server" approach to sharing model parameters among worker threads, we describe and demonstrate how the repeating patterns can be exploited. Examples include replacing dynamic cache and server structures with static pre-serialized structures, informing prefetch and partitioning decisions, and determining which data should be cached at each thread to avoid both contention and slow accesses to memory banks attached to other sockets. Experiments show that such exploitation reduces per-iteration time by 33--98%, for three real ML workloads, and that these improvements are robust to variation in the patterns over time.
New Concepts of Guillain-Barré Syndrome (2000)

Guillain-Barré syndrome is an acute autoimmune polyradiculoneuropathy with a clinical presentation of flaccid paralysis with areflexia, variable sensory disturbance, and elevated cerebrospinal fluid protein without pleocytosis. Although Guillain-Barré syndrome previously had been viewed as a unitary disorder with variations, it currently is viewed as a group of syndromes with several distinctive subtypes. These include the principal subtype prevalent in the Western world (acute inflammatory demyelinating polyradiculoneuropathy, and others, each with distinctive electrodiagnostic and pathologic features, including acute motor axonal neuropathy), acute motor-sensory axonal neuropathy, Miller Fisher syndrome, and perhaps others. The clinical and pathologic features of these Guillain-Barré syndrome subtypes are reviewed, and the role of antecedent infections, particularly Campylobacter jejuni gastroenteritis, and the role of antiganglioside antibody responses are reviewed with respect to pathogenesis. Treatment of Guillain-Barré syndrome includes both important supportive measures and immunotherapies, specifically high-dose intravenous immunoglobulin and plasma exchange.
Robust yaw damping of cars with front and rear wheel steering (2005)

For active car steering, a robust decoupling control law by feedback of the yaw rate to front wheel steering was derived earlier. In the present work, this control law is extended by feedback of the yaw rate to rear wheel steering. A controller structure with one free damping parameter, k/sub D/, is derived with the following properties: (i) damping and natural frequency of the yaw mode become independent of speed; (ii) k/sub D/ can be adjusted to the desired damping level; and (iii) a variation of k/sub D/ has no influence on the natural frequency of the yaw mode and no influence on the steering transfer function by which the driver keeps the car-considered as a mass point-on its planned path.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
The pressure disturbance of a nonlinear internal wave train (2006)

Observations from a lander fixed to the seafloor over the continental shelf in 124 m of water provide highly resolved velocity measurements through nonlinear internal waves of elevation. From these measurements we determine, for the first time, the non-hydrostatic pressure disturbance ( $p_{nh}$ ) in nonlinear internal waves. For near-bottom waves of elevation ranging in amplitude, $a$ , from 12 to 33 m, the value of $p_{nh}$ evaluated at the seafloor changes sign from $\,{>}\,0$ to $\,{<}\,0$ and back in accordance with weakly nonlinear theory; peak values of $\vert p_{nh}\vert$ range from 25 to 90 N m $^{-2}$ . The external hydrostatic pressure disturbance due to the surface displacement ( $\eta_H$ ) is inferred from horizontal accelerations. For elevation waves, $\eta_H\,{<}\,0$ ; peak values range from 0.1 to 9 mm (1 to 90 N m $^{-2}$ ). The internal hydrostatic pressure perturbation ( $p_{Wh}$ ), caused by isopycnal displacement, is inferred from measured streamlines and an ambient density profile. Its value at the seafloor is $\,{>}\,0$ for elevation waves; peak values range from 100 to 300 N m $^{-2}$ . $\vert\eta_H\vert$ and seafloor values of $\vert p_{nh}\vert$ , $p_{Wh}$ all increase monotonically with $a$ . Since $\vert p_{nh}\vert$ and $p_{Wh}$ increase at roughly the same rate with $a$ , no clear trend arises in the degree to which waves become more or less non-hydrostatic as $a$ changes. A distinct bottom pressure signature is determined for bottom-trapped nonlinear waves of elevation, a wave train consisting of a sequence of positive pressure perturbations (dominated by $p_{Wh}$ ). By inference, a train of surface-trapped nonlinear internal waves of depression will consist of a sequence of negative pressure perturbations. A result of this analysis is that significant properties of the waves can be discerned from a simple adequately resolved bottom pressure measurement.
Quality Detection in Foods (1976)

Quality detection in foods / , Quality detection in foods / , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی
Design of a Planar EBG Structure to Reduce Mutual Coupling in Multilayer Patch Antennas (2007)

EBG structures have the ability of suppressing surface waves within a given frequency range. The purpose of this work is to use one of the simplest 2D EBG (a planar periodic structure made of metallic patches on a grounded dielectric slab) in patch antenna arrays to reduce mutual coupling. Also, we pretend to keep both the array element separation smaller than lambda <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> for grating lobes avoidance (as the work is focused on broadside arrays) and the patch antenna size large enough to have a good antenna directivity. To accomplish with this two conditions, the use of a multilayer dielectric substrate composed of high permittivity and low permittivity layers is fundamental. This allows the use of an EBG made of small elements printed on the high permittivity material and, at the same time, the low permittivity layer helps the bandwidth and the directivity of the antenna to be increased. A prototype has been manufactured and the mutual coupling has been measured. The reduction is larger than 10 dB with a completely planar structure.
Intelligent Home 3D: Automatic 3D-House Design from Linguistic Descriptions Only (2020)

Home design is a complex task that normally requires architects to finish with their professional skills and tools. It will be fascinating that if one can produce a house plan intuitively without knowing much knowledge about home design and experience of using complex designing tools, for example, via natural language. In this paper, we formulate it as a language conditioned visual content generation problem that is further divided into a floor plan generation and an interior texture (such as floor and wall) synthesis task. The only control signal of the generation process is the linguistic expression given by users that describe the house details. To this end, we propose a House Plan Generative Model (HPGM) that first translates the language input to a structural graph representation and then predicts the layout of rooms with a Graph Conditioned Layout Prediction Network (GC LPN) and generates the interior texture with a Language Conditioned Texture GAN (LCT-GAN). With some post-processing, the final product of this task is a 3D house model. To train and evaluate our model, we build the first Text-to-3D House Model dataset.
Postsynthetic Modification of Zirconium Metal‐Organic Frameworks (2016)

Metal‐organic frameworks (MOFs) have been in the spotlight for a number of years due to their chemical and topological versatility. As MOF research has progressed, highly functionalised materials have become desirable for specific applications, and in many cases the limitations of direct synthesis have been realised. This has resulted in the search for alternative synthetic routes, with postsynthetic modification (PSM), a term used to collectively describe the functionalisation of pre‐synthesised MOFs whilst maintaining their desired characteristics, becoming a topic of interest. Advances in the scope of reactions performed are reported regularly; however reactions requiring harsh conditions can result in degradation of the framework. Zirconium‐based MOFs present high chemical, thermal and mechanical stabilities, offering wider opportunities for the scope of reaction conditions that can be tolerated, which has seen a number of successful examples reported. This microreview discusses pertinent examples of PSM resulting in enhanced properties for specific applications, alongside fundamental transformations, which are categorised broadly into covalent modifications, surface transformations, metalations, linker and metal exchange, and cluster modifications.
Exploiting Metal–Ligand Cooperativity to Sequester, Activate, and Reduce Atmospheric Carbon Dioxide with a Neutral Zinc Complex (2020)

As atmospheric levels of carbon dioxide (CO<sub>2</sub>) continue to increase, there is an immediate need to balance the carbon cycle. Current approaches require multiple processes to fix CO<sub>2</sub> from the atmosphere or flue gas and then reduce it to value-added products. The zinc(II) catalyst Zn(DMTH) (DMTH = diacetyl-2-(4-methyl-3-thiosemicarbazonate)-3-(2-pyridinehydrazonato)) reduces CO<sub>2</sub> from air to formate with a faradaic efficiency of 15.1% based on total charge. The catalyst utilizes metal-ligand cooperativity and redox-active ligands to fix, activate, and reduce CO<sub>2</sub>. This approach provides a new strategy that incorporates sustainable earth-abundant metals that are oxygen and water tolerant.
Development of Implantable Medical Devices: From an Engineering Perspective (2013)

From the first pacemaker implant in 1958, numerous engineering and medical activities for implantable medical device development have faced challenges in materials, battery power, functionality, electrical power consumption, size shrinkage, system delivery, and wireless communication. With explosive advances in scientific and engineering technology, many implantable medical devices such as the pacemaker, cochlear implant, and real-time blood pressure sensors have been developed and improved. This trend of progress in medical devices will continue because of the coming super-aged society, which will result in more consumers for the devices. The inner body is a special space filled with electrical, chemical, mechanical, and marine-salted reactions. Therefore, electrical connectivity and communication, corrosion, robustness, and hermeticity are key factors to be considered during the development stage. The main participants in the development stage are the user, the medical staff, and the engineer or technician. Thus, there are three different viewpoints in the development of implantable devices. In this review paper, considerations in the development of implantable medical devices will be presented from the viewpoint of an engineering mind.
Concepts and Applications of Conformal Prediction in Computational Drug Discovery (2019)

Estimating the reliability of individual predictions is key to increase the adoption of computational models and artificial intelligence in preclinical drug discovery, as well as to foster its application to guide decision making in clinical settings. Among the large number of algorithms developed over the last decades to compute prediction errors, Conformal Prediction (CP) has gained increasing attention in the computational drug discovery community. A major reason for its recent popularity is the ease of interpretation of the computed prediction errors in both classification and regression tasks. For instance, at a confidence level of 90% the true value will be within the predicted confidence intervals in at least 90% of the cases. This so called validity of conformal predictors is guaranteed by the robust mathematical foundation underlying CP. The versatility of CP relies on its minimal computational footprint, as it can be easily coupled to any machine learning algorithm at little computational cost. In this review, we summarize underlying concepts and practical applications of CP with a particular focus on virtual screening and activity modelling, and list open source implementations of relevant software. Finally, we describe the current limitations in the field, and provide a perspective on future opportunities for CP in preclinical and clinical drug discovery.
Atomic Remote Procedure Call (1985)

Remote procedure call (RPC) is a programming primitive that makes building distributed programs easier. Atomicity, whkh implies totality and serializability, has been recognized as an important property to assure consistency in spite of computing node crashes. We have implemented an atomk remote procedure call mechanism which provides users a simple and reliable language primitive. Concurrency is controlled by attaching a call graph path identifier to each message representing a procedure call. Procedures keep their last accepted calling message paths to compare against incoming message paths. Only calls that can be serialized are accepted. Associated states of static variables are saved in backup processors on procedure entry and restored to corresponding variables in case of procedure crash. Detailed concurrency control and recovery algorithms are given, and illustrated with examples.
Human–Robot Interaction (2016)

HRI is now applied in almost all robot tasks, including manufacturing, space, aviation, undersea, surgery, rehabilitation, agriculture, education, package fetch and delivery, policing, and military operations.