gebhart/patrepeval huggingface dataset:
Kinetic parameters of human aspartate/asparagine–β-hydroxylase suggest that it has a possible function in oxygen sensing (2020)

Human aspartate/asparagine-β-hydroxylase (AspH) is a 2-oxoglutarate (2OG)-dependent oxygenase that catalyzes the post-translational hydroxylation of Asp and Asn residues in epidermal growth factor-like domains (EGFDs). Despite its biomedical significance, studies on AspH have long been limited by a lack of assays for its isolated form. Recent structural work has revealed that AspH accepts substrates with a noncanonical EGFD disulfide connectivity (<i>i.e.</i> the Cys 1-2, 3-4, 5-6 disulfide pattern). We developed stable cyclic thioether analogues of the noncanonical EGFD AspH substrates to avoid disulfide shuffling. We monitored their hydroxylation by solid-phase extraction coupled to MS. The extent of recombinant AspH-catalyzed cyclic peptide hydroxylation appears to reflect levels of EGFD hydroxylation observed <i>in vivo</i>, which vary considerably. We applied the assay to determine the kinetic parameters of human AspH with respect to 2OG, Fe(II), l-ascorbic acid, and substrate and found that these parameters are in the typical ranges for 2OG oxygenases. Of note, a relatively high <i>K<sub>m</sub></i> for O<sub>2</sub> suggested that O<sub>2</sub> availability may regulate AspH activity in a biologically relevant manner. We anticipate that the assay will enable the development of selective small-molecule inhibitors for AspH and other human 2OG oxygenases.
A Consortium Blockchain-Based Secure and Trusted Electronic Portfolio Management Scheme (2022)

In recent times, electronic portfolios (e-portfolios) are being increasingly used by students and lifelong learners as digital online multimedia résumés that showcase their skill sets and achievements. E-portfolios require secure, reliable, and privacy-preserving credential issuance and verification mechanisms to prove learning achievements. However, existing systems provide private institution-wide centralized solutions that primarily rely on trusted third parties to issue and verify credentials. Furthermore, they do not enable learners to own, control, and share their e-portfolio information across organizations, which increases the risk of forged and fraudulent credentials. Therefore, we propose a consortium blockchain-based e-portfolio management scheme that is decentralized, secure, and trustworthy. Smart contracts are leveraged to enable learners to completely own, publish, and manage their e-portfolios, and also enable potential employers to verify e-portfolio credentials and artifacts without relying on trusted third parties. Blockchain is used as an immutable distributed ledger that records all transactions and logs for tamper-proof trusted data provenance, accountability, and traceability. This system guarantees the authenticity and integrity of user credentials and e-portfolio data. Decentralized identifiers and verifiable credentials are used for user profile identification, authentication, and authorization, whereas verifiable claims are used for e-portfolio credential proof authentication and verification. We have designed and implemented a prototype of the proposed scheme using a Quorum consortium blockchain network. Based on the evaluations, our solution is feasible, secure, and privacy-preserving. It offers excellent performance.
[Painful skin reflex manifestations in gastric and duodenal ulcer]. (1977)

&lt;p&gt;Chronic disease is a long and very harmful illness to patient. With the improvement of e-health technology, many users can monitor and manage their health condition at home. At the same time, recording health data is a time-consuming and boring work. Without the supervision of health care professionals, many patients feel very difficult to persist on it by themselves. This platform with persvasive tech is designed to test the effectiveness of peer pressure in the health self-management in the e-health.&lt;/p&gt;
Generalized Sphere-Packing Bound for Subblock-Constrained Codes (2019)

We apply the generalized sphere-packing bound to two classes of subblock-constrained codes. À la Fazeli et al. (2015), we make use of automorphisms to significantly reduce the number of variables in the associated linear programming problem. In particular, we study binary constant subblock-composition codes (CSCCs), characterized by the property that the number of ones in each subblock is constant, and binary subblock energy-constrained codes (SECCs), characterized by the property that the number of ones in each subblock exceeds a certain threshold. For CSCCs, we show that the optimization problem is equivalent to finding the minimum of N variables, where N is independent of the number of subblocks. We then provide closed-form solutions for the generalized sphere-packing bounds for t-error correcting CSCCs for t ∈ {1, 2, 3}. For SECCs, we provide closed-form solutions for the generalized sphere-packing bounds for single errors in certain special cases. We also obtain improved bounds on the optimal asymptotic rate for CSCCs and SECCs, and provide numerical examples to highlight the improvement.
FTV for 3-D Spatial Communication (2012)

Free-viewpoint TV (FTV) is cutting the frontier of audiovisual communications. FTV is an innovative media that enables us to view 3-D space by freely changing our viewpoints. It also allows us to listen at any listening point in the 3-D space. Since FTV transmits all audiovisual information of the 3-D space, it can reconstruct an audiovisual replica of the 3-D space anywhere and anytime over distance and time. For video, FTV captures a part of rays in 3-D space by using many cameras, and the other rays that are not captured are obtained by interpolating the captured rays. We constructed real-time FTV systems including the complete chain of operation from image capture to display. We also carried out FTV on a laptop computer and a mobile player. For audio, two kinds of free listening-point systems are demonstrated. MPEG regarded FTV as the most challenging 3-D media and has been conducting its international standardization activities. The first phase of FTV was multiview video coding (MVC) and the second phase of FTV is 3-D video (3DV). MVC enables the efficient coding of multiple camera views and was completed in 2009. MVC has been adopted by Blu-ray 3-D. 3DV is a standard that targets serving a variety of 3-D displays and its call for proposals was issued in March 2011.
Motor neuron-derived microRNAs cause astrocyte dysfunction in amyotrophic lateral sclerosis (2018)

We recently demonstrated that microRNA-218 (miR-218) is greatly enriched in motor neurons and is released extracellularly in amyotrophic lateral sclerosis model rats. To determine if the released, motor neuron-derived miR-218 may have a functional role in amyotrophic lateral sclerosis, we examined the effect of miR-218 on neighbouring astrocytes. Surprisingly, we found that extracellular, motor neuron-derived miR-218 can be taken up by astrocytes and is sufficient to downregulate an important glutamate transporter in astrocytes [excitatory amino acid transporter 2 (EAAT2)]. The effect of miR-218 on astrocytes extends beyond EAAT2 since miR-218 binding sites are enriched in mRNAs translationally downregulated in amyotrophic lateral sclerosis astrocytes. Inhibiting miR-218 with antisense oligonucleotides in amyotrophic lateral sclerosis model mice mitigates the loss of EAAT2 and other miR-218-mediated changes, providing an important in vivo demonstration of the relevance of microRNA-mediated communication between neurons and astrocytes. These data define a novel mechanism in neurodegeneration whereby microRNAs derived from dying neurons can directly modify the glial phenotype and cause astrocyte dysfunction.
Développement d'une chaîne de calcul par éléments finis à partir de données issues de l'imagerie médicale (2011)

National audience
Prudent Use of Pain Relief in Food Animals (2006)

Relief of both acute and chronic pain in animals is an important part of the practice of veterinary medicine. Human pain medications are frequently used in small animal and equine practice. However, food animal practitioners must follow the Animal Medicinal Drug Use Clarification Act (AMDUCA), which puts restraints on the use of analgesics for pain management in food animals. This paper discusses the use of systemic pharmacologic agents for pain. management in cattle, with an emphasis on nonsteroidal anti-inflammatory drugs (NSAIDs). Local anesthetic techniques for pain management are discussed in "Numbirig-Nose to Tail".
A large areal capacitance structural supercapacitor with a 3D rGO@MnO2 foam electrode and polyacrylic acid–Portland cement–KOH electrolyte (2020)

The fabrication process of an asymmetric structural supercapacitor (SSC) with structural electrodes and structural electrolytes.
A CMOS-SOI 2.45GHz Remote-Powered Sensor Tag (2008)

To enable the wide deployment of ambient intelligence, where various environmental parameters can be sensed and reported, the main challenge consists in developing low-cost, low-power and miniaturized sensor tags composed of an integrated circuit, a sensor and an antenna. Sensor tags are also of great interest for healthcare applications, such as blood or air pressure measurement in Renard, S., et al, (2000), and for temperature monitoring applications. In this context, the integration of RFID and sensor read-out techniques on the same die is an important step in the development of the Sensor Tag concept.
Formation and growth of ice particles in stationary ultrasonic fields (1998)

The formation of ice particles in stationary ultrasonic fields (SUSFs) from ice aerosol was observed. Under suitable experimental conditions aerosol particles gather in stable ellipsoidal systems at temperatures down to &amp;lt;50 K below ambient. We call these systems cold gas traps. The aerosol concentrates in the pressure node areas of the SUSF and conglomerates to form larger particles and snowflakes with diameters up to 10 mm. The resulting shapes are shown. Most of them are similar to those occurring in nature. An attempt is made to explain the effect. Three different processes of ice particle formation are visualized and discussed. Here the existence of a quasiliquid layer (QLL) on the particle surfaces seems to be essential because both the formation of ice particles and the QLL occur only at temperatures higher than about −25 °C. The observed trapping and generation process can be used, for example, in atmospheric physics for the study of particle aggregation, precipitation formation, and water and radiation transport phenomena.
Actuator Scheduling for Linear Systems: A Convex Relaxation Approach (2022)

In this letter, we investigate the problem of actuator scheduling for networked control systems. Given a stochastic linear system with a number of actuators, we consider the case that one actuator is activated at each time. This problem is combinatorial in nature and NP-Hard to solve. We propose a convex relaxation to the actuator scheduling problem, and use the relaxed solution as a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">reference</i> to design an algorithm for solving the original scheduling problem. Using dynamic programming arguments, we provide a suboptimality bound of our proposed algorithm. Furthermore, we show that our framework can be extended to incorporate multiple actuator scheduling at each time and actuation costs. A simulation example is provided, which shows that our proposed method outperforms a random selection approach and a greedy selection approach.
The Immune Response Modifier and Toll-Like Receptor 7 Agonist S-27609 Selectively Induces IL-12 and TNF-α Production in CD11c+CD11b+CD8− Dendritic Cells (2003)

IL-12 and TNF-alpha production by dendritic cells (DCs) is a critical step in the initiation of local inflammation and adaptive immune responses. We show in this study that a small molecule immune response modifier that is a Toll-like receptor 7 (TLR7) agonist induces IL-12 and TNF-alpha production from murine CD11c(+)CD11b(+)CD8(-) DCs, a subset not previously known for this activity. Stimulation of these DCs through TLR7 in vivo induces significant cytokine production even 12 h after initial stimulation, as well as migration of the DC into T cell zones of the lymphoid tissue. In contrast, stimulation through TLR4 and TLR9 induced IL-12 production predominantly from CD8(+) DCs, consistent with previously published data. All TLR stimuli induced the increase in surface expression of the activation markers B7-1, B7-2, and class II in both CD8(+) and CD8(-) DCs, demonstrating that CD8(+) DCs do respond to TLR7-mediated stimuli. To date this is the only known stimuli to induce preferential cytokine production from CD8(-) DCs. Given the efficacy of TLR7 agonists as antiviral agents, the data collectively indicate that stimulation of CD8(-) DCs through TLR7 most likely plays a role in the generation of antiviral immune responses.
Self-Supervised Generalisation with Meta Auxiliary Learning (2019)

Learning with auxiliary tasks can improve the ability of a primary task to generalise. However, this comes at the cost of manually labelling auxiliary data. We propose a new method which automatically learns appropriate labels for an auxiliary task, such that any supervised learning task can be improved without requiring access to any further data. The approach is to train two neural networks: a label-generation network to predict the auxiliary labels, and a multi-task network to train the primary task alongside the auxiliary task. The loss for the label-generation network incorporates the loss of the multi-task network, and so this interaction between the two networks can be seen as a form of meta learning with a double gradient. We show that our proposed method, Meta AuXiliary Learning (MAXL), outperforms single-task learning on 7 image datasets, without requiring any additional data. We also show that MAXL outperforms several other baselines for generating auxiliary labels, and is even competitive when compared with human-defined auxiliary labels. The self-supervised nature of our method leads to a promising new direction towards automated generalisation. Source code can be found at https://github.com/lorenmt/maxl.
Objective determination of pelvic movement during hind limb lameness by use of a signal decomposition method and pelvic height differences (2004)

Pelvic height differences and signal decomposition of pelvic movement can be used to objectively evaluate hind limb lameness in horses over a large number of strides in clinical and research settings.
An adaptive wireless communication protocol for neural data transmission in freely behaving subjects (2011)

Long-term continuous intracortical recording of neuronal ensembles in freely behaving subjects requires a reliable wireless communication channel for transmitting important biological information. The need for ultra low-power, fully implanted recording systems, however, make the design of the wireless transmission protocol more demanding. Here, we introduce an adaptive protocol that can cope with the variable characteristics of the errors in the wireless channel associated with different levels of subject mobility, for example, during rest and active states. The wireless channel is modeled as a finite-state Markov channel, in which states are binary symmetric channels with different binary error rates. A convolutional encoder with a specific code rate is incorporated into each state, for which the length of data transmission packets is optimally estimated. The protocol can switch between different states depending on subject mobility to ensure a highly reliable communication channel, while optimizing the power consumption by minimizing the average memory length required for storing packets prior to transmission.
Testing pressurized spacesuit glove torque with an anthropomorphic robotic hand (2012)

While robotic hands have been developed for manipulation and grasping, their potential as tools for performance evaluation of engineered products - particularly compliant garments that are not easily modeled - has not been broadly studied. In this research, the development of a low-cost anthropomorphic robotic hand is introduced that is designed to characterize glove stiffness in a pressurized environment. The anthropomorphic robotic hand was designed to mimic a human hand in a neutral posture corresponding to the naturally relaxed position in zero gravity, and includes the transverse arch, longitudinal arch, and oblique flexion of the rays. The resulting model also allows for realistic donning and doffing of the prototype spacesuit glove, its pressurization, and torque testing of individual joints. Solid models and 3D printing enabled the rapid design iterations necessary to successfully work with the compliant pressure garment. The performance of the robotic hand is experimentally demonstrated with a spacesuit glove for different levels of pressures, and a unique data processing method is used to calculate the required actuator torque at each finger's knuckle joint. The reliable measurement method confirmed that glove finger torque increases as the internal pressure increases. The proposed robotic design and method provide an objective and systematic way of evaluating the performance of compliant gloves.
Structure and Electronic Properties of Complex Solids (1992)

Abstract Dramatic advances in computational chemistry and materials science have generated an excitement, enthusiasm and fervor among its practitioners not seen for many decades. There has now been achieved a high level of reliability concerning predictions of physical and chemical properties and phenomena – thanks in large part to the continued rapid development and availability of computing power (and its easy accessibility) and the new computational methods/algorithms which this permitted to be generated. A prime area continues to be electronic structure theory where new computational/theoretical methods have been developed that permit highly precise solutions of complex many body systems at the level of the local density approximation. This talk illustrates some aspects of the present state of the field by means of several examples, notably aluminum intermetallics and semiconductor heterojunctions.
Compact laser radar and three-dimensional camera (2006)

A novel three-dimensional (3D) camera is capable of providing high-precision 3D images in real time. The camera uses a diode laser to illuminate the scene, a shuttered solid-state charge-coupled device (CCD) sensor, and a simple phase detection technique based on the sensor shutter. The amplitude of the reflected signal carries the luminance information, while the phase of the signal carries range information. The system output is coded as a video signal. This camera offers significant advantages over existing technology. The precision in range is dependent only on phase shift and laser power and theoretically is far superior to existing time-of-flight laser radar systems. Other advantages are reduced size and simplicity and compact and inexpensive construction. We built a prototype that produced high-resolution images in range the (z) and x-y.
Support: The Challenge to Chaplains (1997)

The results of the SUPPORT study are described, and the absence of any chaplain involvement in the study is noted. Brief descriptions of three articles discussing the role of pastoral care in advance directives and DNR orders are provided.
Emerging strategies to promote improved functional outcome after peripheral nerve injury (2005)

Functional outcome after peripheral nerve injury is often poor and sometimes associated with neuropathic pain. Therapeutic intervention can be carried out at different levels and we attempt to place the different strategies and target molecules, in the context of the nerve healing process. The most obvious interventions are perhaps to minimize cell death and enhance regeneration across the lesion gap. Others, which are more difficult, may be to limit neuropathic pain, improve target finding and cortical reorganization, counteract effects of prolonged denervation/axotomy, and reduce electrical conduction block at the scar formation. Although clinical outcome is often poor at present, recent preclinical research provides several promising approaches and new target molecules for therapeutic intervention, such as neurotrophic factor (GDNF and ARTN) treatment of neuropathic pain, manipulation of the small Rho GTPases (Rac, Rho, Cdc42, Tc10), lipid raft manipulation, gene silencing with DNA enzyme and siRNA. In addition, recent research involving high throughput screening of gene expression (microarray) after nerve injury encourages the discoveries of new possible target molecules.
Multi-agent based reconfigurable manufacturing execution system (2007)

Fierce market competition forces enterprises and manufacturing systems to organize the manufacturing resources dynamically to react to perturbations of market quickly. As the bridge between shop floor level and control level, manufacturing execution system (MES) should be flexible, adaptable, reusable and extendable. To meet these requirements, a two-fold hybrid multi-agent control architecture, which takes advantages of distributed and decentralized control architecture, and the functions of each agent are introduced. In this paper reconfigurable MES (RMES) is realized by a synergy of two concepts: reconfigurable manufacturing cell and blackboard architecture. RMC possesses some characteristics and functions of RMC to enable manufacturing resources to be reconfigured dynamically. As the core agent of the RMES, configuration agent utilizes the blackboard architecture which has several attractive features such as explicit control, modularity, and structured interaction. To implement the framework, the reconfiguring process of RMES is established.
Slowing and stoping of optical solitons by intrapulse Raman scattering (2006)

We demonstrate that the soliton self-frequency shift can lead to dramatic reduction of group velocities of the initially fast pulses by shifting them into the near cut-off spectral regions of the structured waveguides.
Reconstruction of Specular Reflective Surfaces using Auto-Calibrating Deflectometry (2012)

This thesis discusses deflectometry as a reconstruction method for highlyreflecting surfaces. It explains the measurement process and principle and provides a crash course into an efficient mathematical representation of the principles involved. Using this, it reformulates existing three-dimensional reconstructing methods, expands upon them and develops new ones. Building on these novel techniques, an auto-calibration is introduced that is able to refine a rough extrinsic calibration.
Microwave Enhanced Glaser Coupling Under Solvent Free Conditions (2001)

A microwave enhanced, solvent free, Glaser coupling reaction has been developed. Self coupling of terminal alkynes on potassium fluoride-alumina in the presence of cupric chloride affords good yields of the corresponding diacetylenes.
Clinical and functional outcome of surgery for posttraumatic cloacal deformity (2021)

Regardless of the technique used, surgical repair significantly improves both clinical and functional outcomes irrespective of the presence of a covering stoma.