gebhart/patrepeval huggingface dataset:
Fast formation of statistically reliable FDG parametric images based on clustering and principal components (2002)

Formation of parametric images requires voxel-by-voxel estimation of rate constants, a process sensitive to noise and computationally demanding. A model-based clustering method for a two-parameter model (CAKS) was extended to the FDG three-parameter model. The concept was to average voxels with similar kinetic signatures to reduce noise. Voxel kinetics were categorized by the first two principal components of the tissue time-activity curves for all voxels. k2 and k3 were estimated cluster-by-cluster, and K1 was estimated voxel-by-voxel within clusters. When CAKS was applied to simulated images with noise levels similar to brain FDG scans, estimation bias was well suppressed, and estimation errors were substantially smaller--1.3 times for Ki and 1.5 times for k3-than those of conventional voxel-based estimation. The statistical reliability of voxel-level estimation by CAKS was comparable with ROI analysis including 100 voxels. CAKS was applied to clinical cases with Alzheimer's disease (ALZ) and cortico basal degeneration (CBD). In ALZ, the affected regions had low Ki (K1k3/(k2 +k3)) and k3. In CBD, Ki was low, but k3 was preserved. These results were consistent with ROI-based kinetic analysis. Because CAKS decreased the number of invoked estimations, the calculation time was reduced substantially. In conclusion, CAKS has been extended to allow parametric imaging of a three-compartment model. The method is computationally efficient. with low bias and excellent noise properties.
Fatal Disseminated Cryptococcus gattii Infection in New Mexico (2011)

We report a case of fatal disseminated infection with Cryptococcus gattii in a patient from New Mexico. The patient had no history of recent travel to known C. gattii-endemic areas. Multilocus sequence typing revealed that the isolate belonged to the major molecular type VGIII. Virulence studies in a mouse pulmonary model of infection demonstrated that the strain was less virulent than other C. gattii strains. This represents the first documented case of C. gattii likely acquired in New Mexico.
Spin-Hall Magnetic Random-Access Memory With Dual Read/Write Ports for On-Chip Caches (2015)

This paper proposes two types of dual-ported (1-read/1-write: 1R/1W) spin-Hall magnetic random-access memory (SH-MRAM) suitable for on-chip cache applications. Separate write and read ports allow simultaneous write and read access, which can mitigate the impact of slow write latency on the system performance without any area overhead compared to the single-ported SH-MRAM. The efficient spin-Hall effect based spin-transfer torque (STT) leads to low-power write operation. In addition, separate read and write current paths of the devices can enhance the read operation without much impact on the write operation. The differential sensing scheme in 1R/1W differential SH-MRAM can further improve sensing power and sensing margin. Compared to the 1R/1W STT-MRAM bit cell, the 1R/1W SH-MRAM bit cell can achieve lower power consumption for write operation and higher sensing margin with low read power consumption under an iso-area condition.
Odour character and threshold values of nootkatone and related compounds (1970)

Abstract The odour character and potency of nootkatone obtained from grapefruit oil were compared with those of some closely related compounds. It has been found that these compounds may differ considerably in quality but the potency remains similar. In addition, synthesised racemic nootkatone was found to have the same potency as the naturally occurring material.
Anomaly detection and monitoring in Internet of Things communication (2016)

The Internet of Things (IoT) presents unique challenges in detecting anomaly and monitoring all connected devices in a network. Moreover, one of the objectives of anonymity in communication is to protect the data traffic of devices. The summary status visualization is indispensable to depict all devices/sensors that are most indicative of a pending failure and a predictive power/energy. Thus, this paper proposes a multi-platform monitoring and anomaly detection system that supports heterogeneous devices. The proposed system addresses the problems of: (i) how to monitor the network to prevent device failures and (ii) how to design a comprehensive feature for the early anomaly detection of IoT communication.
Diverse routing of scheduled lightpath demands in an optical transport network (2004)

This article addresses the problem of defining working and protection paths for scheduled lightpath demands (SLDs) in an optical transport network. An SLD is a demand for a set of lightpaths (connections), defined by a tuple (s, d, n, /spl alpha/, /spl omega/), where s and d are the source and destination nodes of the lightpaths, n is the number of requested lightpaths and /spl alpha/, /spl omega/ are the set-up and tear-down dates of the lightpaths. The problem is formulated as a combinatorial optimization problem where the objective is to minimize the number of channels required to instantiate the lightpaths. Two techniques are used to achieve this goal: channel reuse and backup-multiplexing. The former consists of assigning the same channel (either working or spare) to several lightpaths, provided that these lightpaths are not simultaneous in time. The latter consists of sharing a spare channel among multiple lightpaths. A spare channel cannot be shared if two conditions hold: a) the working paths of these lightpaths have at least one span in common and b) these lightpaths are simultaneous in time. In the other cases, the spare channel can be shared. We propose a simulated annealing (SA) based algorithm to find approximate solutions to this optimization problem since finding exact solutions is computationally intractable. The results show that backup-multiplexing improves the utilization of channels but requires significant computing capacity. Under a fixed computing capacity budget, the technique is useful in cases where there is little time disjointness among SLDs.
Pharmacologic Approaches to Improve Mitochondrial Function in AKI and CKD (2017)

AKI is associated with high morbidity and mortality, and it predisposes to the development and progression of CKD. Novel strategies that minimize AKI and halt the progression of CKD are urgently needed. Normal kidney function involves numerous different cell types, such as tubular epithelial cells, endothelial cells, and podocytes, working in concert. This delicate balance involves many energy-intensive processes. Fatty acids are the preferred energy substrates for the kidney, and defects in fatty acid oxidation and mitochondrial dysfunction are universally involved in diverse causes of AKI and CKD. This review provides an overview of ATP production and energy demands in the kidney and summarizes preclinical and clinical evidence of mitochondrial dysfunction in AKI and CKD. New therapeutic strategies targeting mitochondria protection and cellular bioenergetics are presented, with emphasis on those that have been evaluated in animal models of AKI and CKD. Targeting mitochondrial function and cellular bioenergetics upstream of cellular damage may offer advantages compared with targeting downstream inflammatory and fibrosis processes.
Fast Dynamic Programming for Elastic Registration of Curves (2016)

Curve registration problems in data analysis and computer vision can often be reduced to the problem of matching two functions defined on an interval. Dynamic Programming (DP) is an effective approach to solve this problem. In this paper, we propose a DP algorithm that runs in O(N) time to compute optimal diffeomorphisms for elastic registration of curves with N nodes. This algorithm contrasts favorably with other DP algorithms used for this problem: the commonly used algorithm of quadratic time complexity, and the algorithm that guarantees a globally optimal solution with O(N4) time complexity. Key to our computational efficiency is the savings achieved by reducing our search space, focusing on thin strips around graphs of estimates of optimal diffeomorphism. Estimates and strips are obtained with a multigrid approach: an optimal diffeomorphism obtained from a lower resolution grid using DP is progressively projected to ones of higher resolution until full resolution is attained. Additionally, our DP algorithm is designed so that it can handle nonuniformly discretized curves. This enables us to realize further savings in computations, since in the case of complicated curves requiring large numbers of nodes for a high-fidelity representation, we can distribute curve nodes adaptively, focusing nodes in parts of high variation. We demonstrate effectiveness of our DP algorithm on several registration problems in elastic shape analysis, and functional data analysis.
PPAR<i>γ</i>Agonists: Potential as Therapeutics for Neovascular Retinopathies (2008)

The angiogenic, neovascular proliferative retinopathies, proliferative diabetic retinopathy (PDR), and age-dependent macular degeneration (AMD) complicated by choroidal neovascularization (CNV), also termed exudative or "wet" AMD, are common causes of blindness. The antidiabetic thiazolidinediones (TZDs), rosiglitazone, and troglitazone are PPARgamma agonists with demonstrable antiproliferative, and anti-inflammatory effects, in vivo, were shown to ameliorate PDR and CNV in rodent models, implying the potential efficacy of TZDs for treating proliferative retinopathies in humans. Activation of the angiotensin II type 1 receptor (AT1-R) propagates proinflammatory and proliferative pathogenic determinants underlying PDR and CNV. The antihypertensive dual AT1-R blocker (ARB), telmisartan, recently was shown to activate PPARgamma and improve glucose and lipid metabolism and to clinically improve PDR and CNV in rodent models. Therefore, the TZDs and telmisartan, clinically approved antidiabetic and antihypertensive drugs, respectively, may be efficacious for treating and attenuating PDR and CNV humans. Clinical trials are needed to test these possibilities.
PRI: Privacy Preserving Inspection of Encrypted Network Traffic (2016)

Traffic inspection is a fundamental building block of many security solutions today. For example, to prevent the leakage or exfiltration of confidential insider information, as well as to block malicious traffic from entering the network, most enterprises today operate intrusion detection and prevention systems that inspect traffic. However, the state-of-the-art inspection systems do not reflect well the interests of the different involved autonomous roles. For example, employees in an enterprise, or a company outsourcing its network management to a specialized third party, may require that their traffic remains confidential, even from the system administrator. Moreover, the rules used by the intrusion detection system, or more generally the configuration of an online or offline anomaly detection engine, may be provided by a third party, e.g., a security research firm, and can hence constitute a critical business asset which should be kept confidential. Today, it is often believed that accounting for these additional requirements is impossible, as they contradict efficiency and effectiveness. We in this paper explore a novel approach, called Privacy Preserving Inspection (PRI), which provides a solution to this problem, by preserving privacy of traffic inspection and confidentiality of inspection rules and configurations, and e.g., also supports the flexible installation of additional Data Leak Prevention (DLP) rules specific to the company.
Description of Model Data for SNL100-00: The Sandia 100-meter All-glass Baseline Wind Turbine Blade (2011)

This document provides a brief description of model files that are available for the SNL100-00 blade [1]. For each file, codes used to create/read the model files are detailed (e.g. code version and date, description, etc). A summary of the blade model data is also provided from the design report [1]. A Design Scorecard for SNL100-00 [2] is provided at the end of the document, which lists blade design
A New and Facile Method for the Direct Preparation of α-Hydroxycarboxylic Acid Esters from α,β-Unsaturated Carboxylic Acid Esters with Molecular Oxygen and Phenylsilane Catalyzed by Bis(dipivaloylmethanato)manganese(II) Complex (1990)

Abstract In the presence of a catalytic amount of bis(dipivaloylmethanato)manganese(II) complex, the oxygenation of benzyl crotonate with molecular oxygen and phenylsilane proceeds smoothly under a mild condition to give benzyl 2-hydroxybutyrate in high yield. The reaction provides a new and convenient method for the direct preparation of various α-hydroxycarboxylic acid esters starting from α,β-unsaturated carboxylic acid esters. The influence of substituents of olefins on regioselectivity is also studied.
Progress and prospects of gene therapy clinical trials for the muscular dystrophies (2015)

Clinical trials represent a critical avenue for new treatment development, where early phases (I, I/II) are designed to test safety and effectiveness of new therapeutics or diagnostic indicators. A number of recent advances have spurred renewed optimism toward initiating clinical trials and developing refined therapies for the muscular dystrophies (MD's) and other myogenic disorders. MD's encompass a heterogeneous group of degenerative disorders often characterized by progressive muscle weakness and fragility. Many of these diseases result from mutations in genes encoding proteins of the dystrophin-glycoprotein complex (DGC). The most common and severe form among children is Duchenne muscular dystrophy, caused by mutations in the dystrophin gene, with an average life expectancy around 25 years of age. Another group of MD's referred to as the limb-girdle muscular dystrophies (LGMDs) can affect boys or girls, with different types caused by mutations in different genes. Mutation of the α-sarcoglycan gene, also a DGC component, causes LGMD2D and represents the most common form of LGMD. Early preclinical and clinical trial findings support the feasibility of gene therapy via recombinant adeno-associated viral vectors as a viable treatment approach for many MDs. In this mini-review, we present an overview of recent progress in clinical gene therapy trials of the MD's and touch upon promising preclinical advances.
Relating "Pace' to Activity Changes in Mono- and Multi-camera Surveillance Videos (2009)

More and more cameras are being installed everyday for safety, security and intelligence gathering purposes, making the volume of storage videos increase all the time. It is therefore important to manage this resource to be able to cast a structured (hierarchical) view into the activities of long video files to catalogue only interesting or relevant domain events. This paper aims to address this issue by proposing a novel and efficient computational approach to ascertaining semantic segmentation of scene activities exhibited in monocular or multi-view surveillance videos. The key to achieve this is to derive the so-called dasiapacepsila descriptor, reflecting the change in underlying scene activities of a surveillance site, based on detecting key scene frames and modeling its temporal distribution. The former is performed by extracting 2D or 3D appearance-based subspace embedding features, followed by a time-constrained agglomerative data clustering. The latter models the density of such key frames distribution in the time domain, and then applies a visual curve segmentation algorithm to identify scene segments of different activities. The approach is especially suited for crowd scene segmentation, and it has been evaluated with real-world surveillance videos of both underground platforms and a busy industrial park entrance in rush hours with promising results.
Do T2‐weighted pulse sequences help with the differential diagnosis of enhancing lesions in dynamic breast MRI? (1999)

In this study, our purpose was to determine whether T2-weighted images are a useful diagnostic adjunct for lesion characterization in dynamic breast MRI. On a 1.5-T system, 205 enhancing benign and malignant breast tumors were examined. The standardized protocol consisted of a T2-weighted turbo spin echo (TSE) pulse sequence with and without spectral fat suppression (SPIR), followed by a two-dimensional dynamic series with subtraction postprocessing. In 59 cases, T2*-weighted gradient-echo images also were obtained. Two independent radiologists visually rated the lesions (101 malignant, 104 benign) as having either a low or a high signal with respect to the adjacent glandular tissue. To assess age dependency of lesion enhancement velocities and T2-TSE signal intensities, we compared the results for patients at or below the age of 50 (group A), between 40 and 50 (group B), and beyond the age of 50 (group C). In T2-weighted TSE images, breast cancers were iso- or hypointense with respect to breast parenchyma in 87% of cases, whereas fibroadenomas were hyperintense in 71%. Visual assessment of lesion appearance in T2-weighted TSE images allowed to distinguish between fibroadenomas and breast cancers, with a respective sensitivity, specificity, positive predictive value, and negative predictive value of 72%, 75%, 46%, and 90% for young patients; 94%, 66%, 78%, and 89% for the patients between 40 and 50; and 89%, 62%, 85%, and 68% for the patients over 50 years of age. No significant difference was found for the distribution of signal intensities of lesions in T2*-weighted images or in fat-suppressed images. In a contrast-enhancing breast lesion, careful analysis of T2-weighted TSE images can improve differential diagnosis. The accuracy of this criterion varies with age. J. Magn. Reson. Imaging 1999;9:187–196. © 1999 Wiley-Liss, Inc.
The Use of Hepatocytes to Investigate HDV Infection: The HDV/HepaRG Model (2010)

Worldwide, it is estimated that more than 350 million people are chronically infected with hepatitis B virus (HBV), approximately 15 million of whom are coinfected with hepatitis D virus (HDV), a satellite of HBV that uses the envelope proteins of the latter to assemble its infectious particles. For a long time after HBV discovery, research on the viral life cycle, viral entry in particular, has been hampered by the lack of practical tissue culture systems. To date, in vitro isolation and serial propagation of HBV are still problematic, but the examination of the entire HBV life cycle is possible using two separate systems: (i) permissive human hepatoma cell lines to study HBV DNA replication, viral transcription, translation, assembly, and release of viral particles and (ii) primary cultures of human or chimpanzee hepatocytes or the susceptible HepaRG cell line for viral entry examination. The experimental model described here for analyzing the function of HBV envelope proteins at viral entry is based on this dual tissue culture system, in which HDV is substituted to HBV for practical reasons.
Molecular aggregation in water: the interplay of hydrophobic and electrostatic interactions (2001)

Hydrophobic interactions belong to the most important noncovalent interactions and play an important role in many (bio)chemical processes. A number of processes in aqueous solution like protein folding, surfactant aggregation or molecular recognition processes strongly rely on the interactions between apolar moieties. Apart from hydrophobic interactions other noncovalent interactions like hydrogen bonding or electrostatic interactions are also important in these processes. Often, an interplay of different types of interactions is involved. ... Zie: Summary
User-friendly 3D bioassays with cell-containing hydrogel modules: narrowing the gap between microfluidic bioassays and clinical end-users' needs (2015)

Cell-containing hydrogel modules as cell-hydrogel microunits for creating a physiologically relevant 3D in vivo-like microenvironment with multiple cell types and unique extracellular matrix (ECM) compositions facilitate long-term cell maintenance and bioassays. To date, there have been many important advances in microfluidic bioassays, which incorporate hydrogel scaffolds into surface-accessible microchambers, driven by the strong demand for the application of spatiotemporally defined biochemical stimuli to construct in vivo-like conditions and perform real-time imaging of cell-matrix interactions. In keeping with the trend of fostering collaborations among biologists, clinicians, and microfluidic engineers, it is essential to create a simpler approach for coupling cell-containing hydrogel modules and an automated bioassay platform in a user-friendly format. In this article, we review recent progress in hydrogel-incorporated microfluidics for long-term cell maintenance and discuss some of the simpler and user-friendly 3D bioassay techniques combined with cell-containing hydrogel modules that can be applied to mutually beneficial collaborations with non-engineers. We anticipate that this modular and user-friendly format interfaced with existing laboratory infrastructure will help address several clinical questions in ways that extend well beyond the current 2D cell-culture systems.
Separation by Bonding Si Islands (SBSI) for Advanced CMOS LSI Applications (2005)

We have developed separation by bonding Si islands (SBSI) process for advanced CMOS LSI applications. In this process, the Si islands that become the S01 regions are formed by selective etching of the SiGe layer in the Si/SiGe stacked layers, and those are bonded to the Si substrate with the thermal oxide layers by furnace annealing. The etching selectivity for SiGe/Si and surface roughness after the SiGe etching were found to be improved by decreasing the HNO 3 concentration in the etching solution. The thicknesses of the fabricated Si island and the buried oxide layer also became uniform by decreasing the HNO 3 concentration. In addition, it was found that the space formed by SiGe etching in the Si/SiGe stacked layers was able to be filled with the thermal oxide layer without furnace annealing.
An efficient algorithm for the parameter extraction of 3-D interconnect structures in the VLSI circuits: domain-decomposition method (1997)

In this paper, the domain-decomposition method (DDM) has been used to extract the capacitance matrices of multilayered three-dimensional (3-D) interconnects in very-large-scale integration (VLSI) circuits. Different subdomains are analyzed separately, so the most efficient method can be chosen for every subdomain. Therefore, the DDM can greatly reduce the algorithm complexity and provide a good platform for the development of combining methods. Numerical results show that the computing time and memory size used by the DDM are more than ten times less than those used by Ansoft's Maxwell SpiceLink-and more importantly, they are unrelated to the thickness of the pure dielectric layers.