gebhart/patrepeval huggingface dataset:
The Cancer Experiences Collaborative: The need for narrative research (2008)

We all use stories in our everyday lives. They are a familiar way of communicating our experiences and significant events to colleagues, friends and families. Nurses readily encounter storytelling in clinical practice. It is often the communication device that patients use to communicate their symptoms, explain accidents or recount experiences. Indeed, storytelling is regarded as a crucial and integral part of human life, to the extent that humans are considered storytellers by nature (Lieblich et al, 1998). Stories can be told in a variety of forms, e.g. oral, written or photographic, and span the range of human experience. However, illness stories are regarded as one of the most powerful forms for the expression of suffering and its related experience (Hyden, 1997). This raises their significance in the context of end-of-life care.

There has been a long tradition of valuing patients’ stories in supportive and palliative care and recognising the potential of these stories to enhance end-of-life experiences (McDermott et al, 2006). Dame Cicely Saunders, the founder of the modern hospice movement, promoted the importance of listening to and valuing patient stories as a way of enhancing the practice of individualised care (Saunders, 1996). However, she also encouraged narrative research as a way to develop knowledge and understanding regarding increasing effectiveness when supporting people and their families at the end of life (Clark et al, 2005).

Narrative research can be described as a distinct form of qualitative …
HISTOPATHOLOGIC FINDINGS FROM 2-YEAR PROTOCOL BIOPSIES FROM A U.S. MULTICENTER KIDNEY TRANSPLANT TRIAL COMPARING TACROLIMUS VERSUS CYCLOSPORINE (1998)

The occurrence of histologic acute rejection was rare at 2 years, confirming the absence of subclinical acute rejection in these late biopsies. A majority of the biopsies showed features consistent with chronic allograft nephropathy that was associated with acute rejection (particularly in cyclosporine-treated patients), nephrotoxicity, and cytomegalovirus infection in the first year. This suggests that nonimmunologic factors, such as drug-induced toxicity, may play an important role in chronic allograft nephropathy.
Detecting and Locating Man-in-the-Middle Attacks in Fixed Wireless Networks (2015)

We propose a novel method to detect and locate a Man-in-the-Middle attack in a fixed wireless network by analyzing round-trip time and measured received signal strength from fixed access points. The proposed method was implemented as a client-side application that establishes a baseline for measured round trip time (RTTs) and received signal strength (RSS) under no-threat scenarios and applies statistical measures on the measured RTT and RSS to detect and locate Man-in-the-Middle attacks. We show empirically that the presence of a Man-in-the-Middle attack incurs a significantly longer delay and larger standard deviation in measured RTT compared to that measured without a Man-in-the-Middle attack. We evaluated three machine learning algorithms on the measured RSS dataset to estimate the location of a Man-in-the-Middle attacker. Experimental results show that the proposed method can effectively detect and locate a Man-in-the-Middle attack and achieves a mean location estimation error of 0.8 meters in an indoor densely populated metropolitan environment.
Development of intralesional therapy with fluorouracil/adrenaline injectable gel for management of condylomata acuminata: two phase II clinical studies. (1997)

5-FU/adrenaline gel is safe and efficacious for treatment of condylomata acuminata, and when compared with individual or various combinations of components, this formulation provided the greatest therapeutic advantage.
Flexible Carbon Nanotube Films for High Performance Strain Sensors (2014)

Compared with traditional conductive fillers, carbon nanotubes (CNTs) have unique advantages, i.e., excellent mechanical properties, high electrical conductivity and thermal stability. Nanocomposites as piezoresistive films provide an interesting approach for the realization of large area strain sensors with high sensitivity and low manufacturing costs. A polymer-based nanocomposite with carbon nanomaterials as conductive filler can be deposited on a flexible substrate of choice and this leads to mechanically flexible layers. Such sensors allow the strain measurement for both integral measurement on a certain surface and local measurement at a certain position depending on the sensor geometry. Strain sensors based on carbon nanostructures can overcome several limitations of conventional strain sensors, e.g., sensitivity, adjustable measurement range and integral measurement on big surfaces. The novel technology allows realizing strain sensors which can be easily integrated even as buried layers in material systems. In this review paper, we discuss the dependence of strain sensitivity on different experimental parameters such as composition of the carbon nanomaterial/polymer layer, type of polymer, fabrication process and processing parameters. The insights about the relationship between film parameters and electromechanical properties can be used to improve the design and fabrication of CNT strain sensors.
New technique for speaker-independent isolated-word recognition (1988)

In a speech recognition system based on dynamic time warping (DTW) the DTW operation is used to time-align two words while calculating the distance between them. The DTW operation is repeated many times as the number of the reference templates in the system. As a result the processing becomes time-consuming. We propose the generation of a single pattern to be used as a time aligning pattern (TAP) for all the words in the system (references and unknowns). The unknown word is first time-aligned with the TAP only. Then the distance between the time-aligned version of the unknown word and any of the reference templates (which have already been time-aligned with the TAP in the training mode) is directly calculated without any further need for DTW operations. Thus a great reduction in the processing time results. Two methods for generating TAPs are proposed. The approach is extended to using more than one TAP. In both cases, the processing time saving, when compared with conventional DTW systems, is in the range of 95% for comparable recognition accuracy.
Compact all-pass filters in photonic crystals as the building block for high-capacity optical delay lines (2003)

Optical all-pass filters, which generate strong on-resonance optical delay while maintaining a unity transmission coefficient throughout the entire resonant bandwidth, are of great importance for constructing delay lines in optical buffer applications. We provide an analysis of optical delay lines based upon cascading multiple stages of all-pass filter structures. We show that the maximum capacity of such delay lines is determined primarily by the dimensions of each stage. Motivated by this analysis, we describe compact optical all-pass filters in two-dimensional photonic crystals. The accidental degeneracy of the cavity modes introduces a strong group delay and dispersion while maintaining total transmission.
New model of conjunctival scarring in the mouse eye (1998)

A single subconjunctival injection in the mouse eye results in a marked and consistent healing response. This represents a simple, inexpensive, and reliable animal model of conjunctival scarring. The mouse is a biologically well characterised animal model and allows the use of a wide variety of molecular tools. There are potentially significant clinical applications, in particular in investigating the effects of modulating agents such as antimetabolites, growth factors, and their antagonists on conjunctival scarring.
From Eyes to Face Synthesis: a New Approach for Human-Centered Smart Surveillance (2018)

With the popularity of surveillance cameras and the development of deep learning, significant progress has been made in the field of smart surveillance. Face recognition is one of the most important yet challenging tasks in human-centered smart surveillance, especially in public security, criminal investigation and anti-terrorism, and so on. Although, the state-of-the-art algorithms for face recognition have achieved dramatically improved results and have been widely applied in authentication scenario, the occlusion problem on face is still one of the critical issues for personal identification in smart surveillance, especially in the occasion of terrorist searching and identification. To address this issue, this paper proposed a new approach for eyes-to-face synthesis and personal identification for human-centered smart surveillance. An end-to-end network based on conditional generative adversarial networks (GAN) is designed to generate the face information based only on the available data of eyes region. To obtain photorealistic faces and identity-preserving information, a synthesis loss function based on feature loss, GAN loss, and total variation loss is proposed to guide the training process. Both the subject and objective experimental results demonstrated that the proposed method can preserve the identity based on eyes-only data, and provide a potential solution for the identification of person even in the case of face occlusion.
Synthesis, Characterization and Applications of Hydride-Based Surface Materials for HPLC, HPCE and Electrochromatography (1996)

Abstract The chemical modification method based on the silanization of an oxide surface to a hydride intermediate followed by hydrosilation with an organic molecule containing a terminal olefin is reviewed. The resulting bonded organic moiety is attached to the surface via a direct Si-C bond which leads to high stability. The method has been more extensively applied to silica surfaces for the production of stationary phases in HPLC but it can also be used on other oxides such as alumina, zirconia, titania and thoria. More recent applications have been in the modification of the inner wall of fused silica capillaries for HPCE. The bonded moieties possess high stability and useful applications have been developed for the separation of proteins and peptides under a variety of buffer conditions. The same procedure for modifying the inner wall of a fused silica capillary has also been extended to etched surfaces for use in electrochromatography (CEC). This type of CEC has been shown to be applicable to the separation of macromolecules as well as small solutes.
Linear variable inductor in DC current sensors utilized in telecom solar battery chargers (2003)

The author describes an LVI (linear variable inductor) current sensor proposed for high-reliability solar-powered telecommunication battery chargers. Its design principle and implementation are discussed. In the proposed LVI sensor, high sensitivity at low current has been achieved by applying a prepolarization field to the sensor core structure. This sensor is shown to be superior to the other possible candidates with respect to the decisive qualities in the particular application considered, i.e. simplicity, reliability, high efficiency, and low cost.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Facile One-Pot Synthesis of 1-Alkyl-3-polyfluoroalkyl Imidazolium Ionic Liquids (2009)

Imidazolium-based ionic liquids bearing a polyfluorinated alkyl group on the cation were efficiently synthesized in excellent yields and selectivities from the one-pot reaction of a fluoroolefin with [1-alkyl-3H-imidazolium]X, where X = Cl, NO3, CF3CO2, BF4 or (CF3SO2)2N, formed in situ from the interaction of an alkylimidazole with an acid, HX.
1,024×1,024 Optical Circuit Switch Using Wavelength-Tunable and Bandwidth-Variable Silicon Photonic Filter (2018)

We fabricate a fast wavelength-tunable and bandwidth-variable optical filter using silicon-photonics technologies. Part of a 1024x1024 switch is constructed and adaptive support of 10-Gbps, 28-Gbps and 56-Gbps signals is experimentally demonstrated.
Mining sandboxes (2016)

We present sandbox mining, a technique to confine an application to resources accessed during automatic testing. Sandbox mining first explores software behavior by means of automatic test generation, and extracts the set of resources accessed during these tests. This set is then used as a sandbox, blocking access to resources not used during testing. The mined sandbox thus protects against behavior changes such as the activation of latent malware, infections, targeted attacks, or malicious updates.
InP HEMT Technology for High-Speed Logic and Communications (2007)

As a review of the InP HEMT technology and its applications to logic ICs, the two-step-recess gate structure, which is now widely used in high-performance InP HEMTs, and its application to optoelectronic ICs are described. This paper also covers the topic of the gate delay analysis that reveals that the parasitic delay becomes the primary cause of the gate delay in sub-100-nm gate regime. For future challenge for logic applications, ways to reduce the off-state transistor current is also discussed.
Word-Level Tone Modeling for Mandarin Speech Recognition (2007)

Standard HMM-based Mandarin speech recognition systems do not exploit the suprasegmental nature of tones, but explicit tone models can be incorporated with lattice rescoring. This work extends previous approaches to explicit tone modeling from the syllable level to the word level, incorporating a hierarchical backoff. Word-dependent tone models are trained to explicitly model the tone coarticulation within the word. For less frequent words, tonal-syllable-dependent tone models or plain tone models are used as backoff. More generally, context-dependent tone models can be used as backoff. The word-dependent tone modeling framework can be viewed as a generalization of the traditional context-independent and context-dependent tone modeling. Under this framework, different types of tone modeling strategies are compared experimentally on a Mandarin broadcast news speech recognition task, showing significant gains from the word-level tone modeling approach.
Prospective Cohort Study of Enterotoxigenic<i>Escherichia coli</i>Infections in Argentinean Children (1999)

In a follow-up study, enterotoxigenic Escherichia coli (ETEC) infections in 145 children from two communities located in northeastern Argentina were monitored for 2 years. The occurrence of diarrhea was monitored by weekly household visits. Of 730 fecal specimens collected, 137 (19%) corresponded to diarrheal episodes. ETEC was isolated from a significantly higher proportion of symptomatic (18.3%) than asymptomatic (13.3%) children (P = 0.04541). Individuals of up to 24 months of age were found to have a higher risk of developing ETEC diarrhea than older children (odds ratio [OR], 3.872; P = 0.00021). When the toxin profiles were considered, only heat stable enterotoxin (ST)-producing ETEC was directly associated with diarrhea (P = 0.00035). Fifty-five percent of the ETEC isolated from symptomatic children and 19% of the ETEC isolated from asymptomatic children expressed one of the colonization factors (CFs) investigated, i.e., CF antigen I (CFA/I), CFA/II, CFA/III, and CFA/IV; coli surface antigens CS7 and CS17; and putative CFs PCFO159, PCFO166, and PCFO20, indicating a clear association between diarrhea and ETEC strains that carry these factors (P = 0.0000034). The most frequently identified CFs were CFA/IV (16%), CFA/I (10%), and CS17 (9%). CFs were mostly associated with ETEC strains that produce ST and both heat-labile enterotoxin and ST. Logistic regression analysis, applied to remove confounding effects, revealed that the expression of CFs was associated with illness independently of the toxin type (OR, 4.81; P = 0.0003). When each CF was considered separately, CS17 was the only factor independently associated with illness (OR, 16.6; P = 0.0151). Most CFs (the exception was CFA/IV) fell within a limited array of serotypes, while the CF-negative isolates belonged to many different O:H types. These results demonstrate that some CFs are risk factors for the development of ETEC diarrhea.
Differential Regulation of Neutrophil-Activating Chemokines by IL-6 and Its Soluble Receptor Isoforms (2004)

Interleukin-6 signaling via its soluble receptor (sIL-6R) differentially regulates inflammatory chemokine expression and leukocyte apoptosis to coordinate transition from neutrophil to mononuclear cell infiltration. sIL-6R activities may, however, be influenced in vivo by the occurrence of two sIL-6R isoforms that are released as a consequence of differential mRNA splicing (DS) or proteolytic cleavage (PC) of the cognate IL-6R (termed DS- and PC-sIL-6R). Using human peritoneal mesothelial cells and a murine model of peritoneal inflammation, studies described in this work have compared the ability of both isoforms to regulate neutrophil recruitment. In this respect, DS- and PC-sIL-6R were comparable in their activities; however, these studies emphasized that IL-6 trans signaling differentially controls neutrophil-activating CXC chemokine expression. In vitro, stimulation of mesothelial cells with IL-6 in combination with either DS-sIL-6R or PC-sIL-6R showed no induction of CXC chemokine ligand (CXCL)1 (GRO alpha) and CXCL8 (IL-8), whereas both isoforms enhanced CXCL5 (ENA-78) and CXCL6 (granulocyte chemotactic protein-2) expression. Moreover, when complexed with IL-6, both isoforms specifically inhibited the IL-1 beta-induced secretion of CXCL8. These findings were paralleled in vivo, in which induction of peritoneal inflammation in IL-6-deficient (IL-6(-/-)) mice resulted in enhanced keratinocyte-derived chemokine and macrophage-inflammatory protein-2 (the murine equivalent of CXCL1 and CXCL8) levels, but reduced LPS-induced CXC chemokine (the murine equivalent of CXCL5) expression. Reconstitution of IL-6 signaling in IL-6(-/-) mice with IL-6 and its soluble receptor isoforms corrected this chemokine imbalance and suppressed overall neutrophil infiltration. These data confirm that sIL-6R-mediated signaling primarily limits neutrophil influx; however, induction of CXCL5 and CXCL6 may regulate other neutrophil responses.
Scaling and multifractal properties of mixing in chaotic flows (1992)

Mixing (stretching and folding of fluid elements) in chaotic flows is an iterative process generating presumably self-similar distributions of stretching and striation thickness. This hypothesis is investigated using scaling and multifractal techniques for two prototypical time-periodic chaotic flows: one containing no detectable islands (egg-beater flow), the other involving sizable islands as well as no-slip boundaries (flow between eccentric cylinders). The simplest picture arises in the egg-beater flow. Stretching is well described by multifractal scaling if the very high tail of the distribution of stretchings is neglected. Different methods for obtaining the spectrum of fractal dimensions f(α) agree reasonably well, producing a time-independent self-similar distribution. On the other hand, in the flow between eccentric cylinders, the negative moments do not scale, and the spectrum f(α) is time-dependent (and therefore, it is not self-similar). Due to the extremely wide range of values of stretching, a very large number of points needs to be considered in order to characterize mixing in chaotic systems using a multifractal formalism; this suggests that more work is needed in order to understand finite-size effects and how asymptotic states are reached. However, for cases where multifractal scaling applies, it is possible to relate coarse-grained variables (e.g., intermaterial area density) to microscopic features of the flow (e.g., finite-time Lyapunov exponents).
Real-Time RGB-D Visual Tracking With Scale Estimation and Occlusion Handling (2018)

Robust scale estimation and occlusion handling are two challenging problems in visual target tracking. Most existing methods do not perform well with complex image sequences, especially those with scale changes and partial occlusion. In this paper, a real-time RGB-D object tracker is proposed to deal with occlusion and scale changes in various scenes. Our approach is more accurate than most existing algorithms, while the computational complexity does not increase greatly. We build our approach based on the kernelized correlation filter (KCF), which utilizes the property of a circulant matrix and kernel to achieve fast target tracking. Our approach makes use of the spatial continuity of the depth information to achieve accurate scale estimation, and it performs better than an exhaustive search. In addition, we propose a method for model updating that combines the different parts of the target to deal with occlusion. We evaluate our method using the Princeton Data, which is a public RGB-D dataset for object tracking. Experiments show that the proposed approach significantly improves the performance compared with the baseline. Finally, we provide both quantitative and qualitative comparisons between our tracker and current state-of-the-art trackers. The proposed approach is shown to be superior to most trackers, while operating at a high frame rate.
An Introduction to Web Design and Programming (2003)

1. Web Basics and Overview 2. Creating Web Pages: HTML 3. Advanced HTML 4. Design Basics 5. Information Architecture, Page Layout, and Typography 6. Controlling Page Style: CSS 7. Color and Graphics 8. Forms and Form Processing 9. Client-Side Scripting: JavaScript 10. Document Object Model and Dynamic HTML 11. Graphics and Site Production 12. Audio and Video 13. Perl and CGI Programming
Overarching Control of Flexi Grid Optical Networks: Interworking of GMPLS and OpenFlow Domains (2015)

Optical transport networks provide transport, multiplexing, routing, management, supervision, and survivability of optical channels. Within a flexible dense wavelength division multiplexing grid, the optical spectrum can be allocated in multiples of a width granularity, depending on the client signal rate and modulation format. A control plane (CP) can be used for efficient and dynamic provisioning and recovery of flexi-grid connections. Two main CP architectures coexist, with common functions like addressing, automatic topology discovery, network abstraction, path computation, and connection provisioning: a distributed generalized multiprotocol label switching CP (with optional path computation element, PCE path computation and instantiation/modification) and a CP based on software-defined networking, with a logically centralized controller and an open protocol, such as the OpenFlow protocol. Both architectures have their own strengths and weaknesses, and are being extended to address the new requirements associated with the aforementioned emerging optical technologies, such as flexible spectrum allocation, efficient corouted connection setup, and configuration of related optical parameters. However, new use cases such as remote data center interconnection highlight the need for multidomain service provisioning, and heterogeneous CP interworking, potentially requiring an overarching control. Different alternatives, with varying degrees of integration and flexibility, are available: straightforward approaches characterized by the adaptation of one control model to the other or more advanced interworking requiring the definition of common models (e.g., a subset of attributes for network elements) and of coordination and orchestration functions. This paper discusses the main relevant interworking architectures and presents a selected set of use cases and proof-of-concepts.