gebhart/patrepeval huggingface dataset:
β2‐Adrenergic receptor activation delays wound healing (2006)

Keratinocytes migrate directionally into the wound bed to initiate re-epithelialization, necessary for wound closure and restoration of barrier function. They solely express the beta2-adrenergic receptor (beta2-AR) subtype of beta-ARs and can also synthesize beta-AR agonists generating a hormonal mediator network in the skin. Emerging studies from our laboratory demonstrate that beta-AR agonists decrease keratinocyte migration via a protein phosphatase (PP) 2A-dependent mechanism. Here we have extended our investigations to observe the effects of beta2-AR activation on keratinocyte polarization, migration, and ERK phosphorylation at the wound edge, cytoskeletal organization, phospho-ERK intracellular localization, proliferation, human skin wound re-epithelialization, wound-induced ERK phosphorylation, and murine skin wound healing. We demonstrate that in keratinocytes, beta2-AR activation is anti-motogenic and anti-mitogenic with both mechanisms being PP2A dependent. beta2-AR activation dramatically alters the organization of the actin cytoskeleton and prevents localization of phospho-ERK to the lamellipodial edge and its colocalization with vinculin. Finally, we demonstrate a beta2-AR-mediated delay in re-epithelialization and decrease in wound-induced epidermal ERK phosphorylation in human skin wounds and a delay in re-epithelialization in murine tail-clip wounds. Our work uncovers novel keratinocyte biology and a previously unrecognized role for the adrenergic hormonal mediator network in the wound repair process.
Dynamic Route Choice Prediction Model Based on Connected Vehicle Guidance Characteristics (2017)

A route choice prediction model is proposed considering the connected vehicle guidance characteristics. This model is proposed to prevent the delay in the release of guidance information and route planning due to inaccurate timing predictions of the traditional guidance systems. Based on the analysis of the impact of different connected vehicle (CV) guidance strategies on traffic flow, an indexes system for CV guidance characteristics is presented. Selecting five characteristic indexes, a route choice prediction model is designed using the logistic model. A simulation scenario is established by programming different agents for controlling the flow of vehicles and for information acquisition and transmission. The prediction model is validated using the simulation scenario, and the simulation results indicate that the characteristic indexes have a significant influence on the probability of choosing a particular route. The average root mean square error (RMSE) of the prediction model is 3.19%, which indicates that the calibration model shows a good prediction performance. In the implementation of CV guidance, the penetration rate can be considered an optional index in the adjustment of the guidance effect.
Possible Involvement of a Pertussis Toxin-Sensitive GTP-Binding Protein in Protein Transport into Nuclei Isolated from Rat Liver1 (1994)

Nuclear protein transport was inhibited in permeabilized HeLa cells which had been prepared after culture with pertussis toxin, suggesting that the pertussis toxin-sensitive protein(s) might be involved in the nuclear protein transport. To investigate the mechanism whereby pertussis toxin inhibited the nuclear protein transport, an accumulation of proteins containing a nuclear localization signal sequence (NLS) into isolated rat liver nuclei was investigated. The NLS-containing protein accumulation required ATP and cytosolic proteins, and was temperature- and wheat germ agglutinin-sensitive as had been observed in permeabilized cells. Non-hydrolyzable GTP analogues, such as guanosine 5'-(gamma-thio)triphosphate and guanosine 5'-(beta, gamma-methylene)triphosphate, but not ATP analogues, inhibited the NLS-containing protein accumulation in the isolated nuclei. The NLS-containing protein accumulation was also inhibited by prior treatment of the nuclei with pertussis toxin plus NAD, and the effect of pertussis toxin was blocked when guanosine 5'-(gamma-thio)triphosphate was simultaneously added during the pretreatment with pertussis toxin. The inhibition induced by pertussis toxin and the blockage by guanosine 5'-(gamma-thio)triphosphate were well correlated to ADP-ribosylation of 40-kDa protein in nuclear fraction. These results suggested that the nuclear pertussis toxin-sensitive GTP-binding protein is involved in a pathway of nuclear protein transport.
Ground–Based Weather Radar Compatibility with Digital Radio–Relay Microwave Systems (1990)

This report examines the potential for ground–based weather radar (meteorological radar) interference to digital microwave systems in the common carrier bands of 3700–4200 MHz and 5925–6425 MHz. Reported cases of interference to microwave common carrier systems from ground–based weather radar systems have increased due to the trend towards digital modulations. Because of this interference, NTIA, the FCC and the National Spectrum Managers Association formed an informal working group to investigate and document the potential problems. The existing and planned spectrum uses by ground–based weather radars and digital microwave systems are addressed as well as regulations and policy pertaining to their electromagnetic compatibility. Methods to mitigate the interference in both the radar transmitter and microwave receiver are also provided.
A Network-Assisted User-Centric WiFi-Offloading Model for Maximizing Per-User Throughput in a Heterogeneous Network (2013)

In this paper, we propose a novel network-assisted user-centric WiFi-offloading model for maximizing per-user throughput in a heterogeneous network. In the proposed WiFi-offloading model, the heterogeneous network collects network information, such as the number of users in WiFi networks and their traffic load. Then, the network decides the specific portion of traffic to be transmitted via WiFi networks, i.e., φ*, which maximizes the per-user throughput. After informing the φ* to users, users offload their traffic with the probability of φ* and achieve the maximum per-user throughput while offloading more traffic into WiFi networks. Through the proposed WiFi-offloading model, a user and the heterogeneous network achieve 20% higher throughput than the on-the-spot WiFi-offloading model in a dense traffic environment.
Selective graft-versus-leukemia depends on magnitude and diversity of the alloreactive T cell response (2017)

Patients with leukemia who receive a T cell-depleted allogeneic stem cell graft followed by postponed donor lymphocyte infusion (DLI) can experience graft-versus-leukemia (GVL) reactivity, with a lower risk of graft-versus-host disease (GVHD). Here, we have investigated the magnitude, diversity, and specificity of alloreactive CD8 T cells in patients who developed GVL reactivity after DLI in the absence or presence of GVHD. We observed a lower magnitude and diversity of CD8 T cells for minor histocompatibility antigens (MiHAs) in patients with selective GVL reactivity without GVHD. Furthermore, we demonstrated that MiHA-specific T cell clones from patients with selective GVL reactivity showed lower reactivity against nonhematopoietic cells, even when pretreated with inflammatory cytokines. Expression analysis of MiHA-encoding genes showed that similar types of antigens were recognized in both patient groups, but in patients who developed GVHD, T cell reactivity was skewed to target broadly expressed MiHAs. As an inflammatory environment can render nonhematopoietic cells susceptible to T cell recognition, prevention of such circumstances favors induction of selective GVL reactivity without development of GVHD.
Long‐Term Outcome of Intractable Ulcerating Enterocolitis of Infancy (2005)

Infants with IE have a high risk of developing lymphomatous proliferations that appears to be related to the underlying immunodysregulation. Use of aggressive immunosuppression and acquisition of EBV infection appears to accelerate this process; hence we advocate early colectomy in confirmed cases. In children with IE screening for EBV and vigilance for abnormal lymphoid proliferations is paramount.
New technique for servo-control of arterial oxygen tension in preterm infants. (1979)

Equipment has been developed for the servo-control of arterial oxygen tension in sick, newborn babies. Using an indwelling umbilical arterial oxygen electrode as sensor, the equipment successfully regulated the administration of oxygen to 12 newborn babies with respiratory distress syndrome, significantly improving the stability of arterial oxygen tension and lessening the duration of episodes of hypoxia and hyperoxia.
Palladium(II) Incorporation in the All‐Inorganic Cryptand [As<sub>4</sub>W<sub>40</sub>O<sub>140</sub>]<sup>28–</sup>: Synthesis and Structural Characterization of [Pd<sub>2</sub>Na<sub>2</sub>KAs<sub>4</sub>W<sub>40</sub>O<sub>140</sub>(H<sub>2</sub>O)]<sup>21–</sup> (2018)

The palladium(II)‐containing 40‐tungsto‐4‐arsenate(III) [Pd 2 Na 2 KAs 4 W 40 O 140 (H 2 O)] 21– ( 1a ) was synthesized by reaction of PdSO 4 with the cryptate heteropolyanion [As 4 W 40 O 140 ] 28– in potassium acetate buffer. The title compound was characterized by single‐crystal XRD, IR, TGA, and elemental analysis.
BEATS: Blocks of Eigenvalues Algorithm for Time series Segmentation (2018)

The massive collection of data via emerging technologies like the Internet of Things (IoT) requires finding optimal ways to reduce the observations in the time series analysis domain. The IoT time series require aggregation methods that can preserve and represent the key characteristics of the data. In this paper, we propose a segmentation algorithm that adapts to unannounced mutations of the data (i.e., data drifts). The algorithm splits the data streams into blocks and groups them in square matrices, computes the Discrete Cosine Transform (DCT), and quantizes them. The key information is contained in the upper-left part of the resulting matrix. We extract this sub-matrix, compute the modulus of its eigenvalues, and remove duplicates. The algorithm, called BEATS, is designed to tackle dynamic IoT streams, whose distribution changes over time. We implement experiments with six datasets combining real, synthetic, real-world data, and data with drifts. Compared to other segmentation methods like Symbolic Aggregate approXimation (SAX), BEATS shows significant improvements. Trying it with classification and clustering algorithms it provides efficient results. BEATS is an effective mechanism to work with dynamic and multi-variate data, making it suitable for IoT data sources. The datasets, code of the algorithm and the analysis results can be accessed publicly at: https://github.com/auroragonzalez/BEATS.
Learning Hierarchical Representation Model for NextBasket Recommendation (2015)

Next basket recommendation is a crucial task in market basket analysis. Given a user's purchase history, usually a sequence of transaction data, one attempts to build a recommender that can predict the next few items that the user most probably would like. Ideally, a good recommender should be able to explore the sequential behavior (i.e., buying one item leads to buying another next), as well as account for users' general taste (i.e., what items a user is typically interested in) for recommendation. Moreover, these two factors may interact with each other to influence users' next purchase. To tackle the above problems, in this paper, we introduce a novel recommendation approach, namely hierarchical representation model (HRM). HRM can well capture both sequential behavior and users' general taste by involving transaction and user representations in prediction. Meanwhile, the flexibility of applying different aggregation operations, especially nonlinear operations, on representations allows us to model complicated interactions among different factors. Theoretically, we show that our model subsumes several existing methods when choosing proper aggregation operations. Empirically, we demonstrate that our model can consistently outperform the state-of-the-art baselines under different evaluation metrics on real-world transaction data.
Electrospinning of a Functional Perfluorinated Block Copolymer as a Powerful Route for Imparting Superhydrophobicity and Corrosion Resistance to Aluminum Substrates (2010)

Superhydrophobic aluminum surfaces with excellent corrosion resistance were successfully prepared by electrospinning of a novel fluorinated diblock copolymer solution. Micro- and nanostructuration of the diblock copolymer coating was obtained by electrospinning which proved to be an easy and cheap electrospinning technology to fabricate superhydrophobic coating. The diblock copolymer is made of poly(heptadecafluorodecylacrylate-co-acrylic acid) (PFDA-co-AA) random copolymer as the first block and polyacrylonitrile (PAN) as the second one. The fluorinated block promotes hydrophobicity to the surface by reducing the surface tension, while its carboxylic acid functions anchor the polymer film onto the aluminum surface after annealing at 130 °C. The PAN block of this copolymer insures the stability of the structuration of the surface during annealing, thanks to the infusible character of PAN. It is also demonstrated that the so-formed superhydrophobic coating shows good adhesion to aluminum surfaces, resulting in excellent corrosion resistance.
The future of cancer immunotherapy: microenvironment-targeting combinations (2020)

Immunotherapy holds the potential to induce durable responses, but only a minority of patients currently respond. The etiologies of primary and secondary resistance to immunotherapy are multifaceted, deriving not only from tumor intrinsic factors, but also from the complex interplay between cancer and its microenvironment. In addressing frontiers in clinical immunotherapy, we describe two categories of approaches to the design of novel drugs and combination therapies: the first involves direct modification of the tumor, while the second indirectly enhances immunogenicity through alteration of the microenvironment. By systematically addressing the factors that mediate resistance, we are able to identify mechanistically-driven novel approaches to improve immunotherapy outcomes.
Asynchronous and deterministic objects (2004)

This paper aims at providing confluence and determinism properties in concurrent processes, more specifically within the paradigm of object-oriented systems. Such results should allow one to program parallel and distributed applications that behave in a deterministic manner, even if they are distributed over local or wide area networks. For that purpose, an object calculus is proposed. Its key characteristics are asynchronous communications with futures, and sequential execution within each process.While most of previous works exhibit confluence properties only on specific programs -- or patterns of programs, a general condition for confluence is presented here. It is further put in practice to show the deterministic behavior of a typical example.
PapierCraft (2005)

Knowledge workers use paper extensively for document reviewing and note-taking due to its versatility and simplicity of use. As users annotate printed documents and gather notes, they create a rich web of annotations and cross references. Unfortunately, as paper is a static media, this web often gets trapped in the physical world. While several digital solutions such as XLibris [15] and Digital Desk [18] have been proposed, they suffer from a small display size or onerous hardware requirements.To address these limitations, we propose PapierCraft, a gesture-based interface that allows users to manipulate digital documents directly using their printouts as proxies. Using a digital pen, users can annotate a printout or draw command gestures to indicate operations such as copying a document area, pasting an area previously copied, or creating a link. Upon pen synchronization, our infrastructure executes these commands and presents the result in a customized viewer. In this paper we describe the design and implementation of the PapierCraft command system, and report on early user feedback.
Enhanced timing advance in TDM cellular radio systems (2011)

The rationale for this Letter is to present a method which would enhance the resolution and accuracy of timing advance (TA) in 2G GSM TDMA and 3G UMTS TDD networks. The method would enable a stationary or slow-moving mobile station (MS) to determine its location using trilateration, with enhanced resolution and accuracy. An outstanding feature of the method is that the only changes required are to software. Low resolution TA samples would be processed into enhanced resolution measurements by applying fractional bit perturbations (dither) over an extended sampled measurement period. The existing TA mechanism and word length for ensuring correct MS uplink arrival times would remain unchanged. It is proposed that enhanced timing advance (ETA) could provide a low risk, low cost alternative to location finding technologies such as angle of arrival, time of arrival, enhanced observed time difference, uplink time difference of arrival and GPS, at the same time satisfying the FCC mobile E-911 accuracy requirement.
Thoughts on the quality requirements and education model of medical personnel (2007)

Medical personnel are the basis of the development of public health.Quality education of medical personnel should focus on the practical requirements of the society.Educational conccption should be renewed.Reasonable revisions and reforms of the educational goal,educational system,curriculum structure and system,teaching methods and the clinical clerkship system should be made.The education model should be the combination of fundamental education,professional education and quality education,which made the personnel to be creative medical professionals.

Key words: 
Medical personnel; Quality; Education model:Educational reform
Real -time video transmission and multimedia services over wireless networks (1997)

Next-generation wireless networks will support not only voice and data services but also video applications. This dissertation focuses on real-time video transmission and multimedia services over wireless networks. Specifically, three related and important issues, error control, source rate control and synchronization control, are studied. We begin by investigating the relationship between the quality of H.263 coded video transmission and error control using forward error correction (FEC). It is shown that H.263 coded bitstreams are very vulnerable to transmission errors. After observing that traditional FEC schemes are not efficient in nonstationary wireless communications environments, we first present a modified type-II hybrid automatic repeat request (ARQ) scheme. Then, in order to take advantage of both type-I and type-II hybrid ARQ schemes, we develop a concatenated hybrid ARQ scheme. An analytical framework based on a multi-state Markov chain channel model is also developed to evaluate the performance of the hybrid ARQ schemes. It is demonstrated that the hybrid ARQ schemes can significantly improve video transmission quality. Hybrid ARQ schemes adapt to the varying channel conditions by retransmitting erroneous packets, this results in variable effective data rates for current PCS networks. An adaptive source rate control (ASRC) protocol is proposed and studied. We demonstrate that the ASRC scheme can work together with the hybrid ARQ error control scheme to achieve efficient transmission of real-time video with low delay and high reliability. Finally, we propose and study the approach of employing a large delay bound for the hybrid ARQ error control module of the transmission system to effectively correct transmission errors and an adaptive synchronization scheme at the application layer of the receiver to maintain synchronization and keep end-to-end delays low. We also design an adaptive synchronization protocol. It is shown that the synchronization protocol yields good performance. Low transmission error rates, low end-to-end delays and good synchronization are feasible when error control, source rate control and synchronization control are jointly considered and properly designed.
Immunity to viruses: learning from successful human vaccines (2013)

For more than a century, immunologists and vaccinologists have existed in parallel universes. Immunologists have for long reveled in using 'model antigens', such as chicken egg ovalbumin or nitrophenyl haptens, to study immune responses in model organisms such as mice. Such studies have yielded many seminal insights about the mechanisms of immune regulation, but their relevance to humans has been questioned. In another universe, vaccinologists have relied on human clinical trials to assess vaccine efficacy, but have done little to take advantage of such trials for studying the nature of immune responses to vaccination. The human model provides a nexus between these two universes, and recent studies have begun to use this model to study the molecular profile of innate and adaptive responses to vaccination. Such 'systems vaccinology' studies are beginning to provide mechanistic insights about innate and adaptive immunity in humans. Here, we present an overview of such studies, with particular examples from studies with the yellow fever and the seasonal influenza vaccines. Vaccination with the yellow fever vaccine causes a systemic acute viral infection and thus provides an attractive model to study innate and adaptive responses to a primary viral challenge. Vaccination with the live attenuated influenza vaccine causes a localized acute viral infection in mucosal tissues and induces a recall response, since most vaccinees have had prior exposure to influenza, and thus provides a unique opportunity to study innate and antigen-specific memory responses in mucosal tissues and in the blood. Vaccination with the inactivated influenza vaccine offers a model to study immune responses to an inactivated immunogen. Studies with these and other vaccines are beginning to reunite the estranged fields of immunology and vaccinology, yielding unexpected insights about mechanisms of viral immunity. Vaccines that have been proven to be of immense benefit in saving lives offer us a new fringe benefit: lessons in viral immunology.
Multi-Frame Rate Volume Rendering (2010)

This paper presents multi-frame rate volume rendering, an asynchronous approach to parallel volume rendering. The workload is distributed over multiple GPUs in such a way that the main display device can provide high frame rates and little latency to user input, while one or multiple backend GPUs asynchronously provide new views. The latency artifacts inherent to such a solution are minimized by forward image warping. Volume rendering, especially in medical applications, often involves the visualization of transparent objects. Former multi-frame rate rendering systems addressed this poorly, because an intermediate representation consisting of a single surface lacks the ability to preserve motion parallax. The combination of volume raycasting with feature peeling yields an image-based representation that is simultaneously suitable for high quality reconstruction and for fast rendering of transparent datasets. Moreover, novel methods for trading excess speed for visual quality are introduced, and strategies for balancing quality versus speed during runtime are described. A performance evaluation section provides details on possible application scenarios.