gebhart/patrepeval huggingface dataset:
Periodic Data Eviction Algorithm of SCM/NAND Flash Hybrid SSD with SCM Retention Time Constraint Capabilities at Extremely High Temperature (2018)

Storage class memory (SCM)/NAND flash hybrid SSD has been proposed to improve SSD performance. Evict operation is one of the SSD functions to remove data from SCM to NAND flash when SCM blank capacity becomes small. With conventional LRU order-based eviction, data written to SCM stays over acceptable data-retention time because the conventional algorithm evicts only data exceeding the SCM capacity. To reduce errors by data-retention failure, Periodic eviction algorithm are proposed. With proposed eviction, written data in SCM is evicted periodically to avoid staying data in SCM over data-retention limit. From the evaluation results, Periodic eviction moves all data in SCM to NAND flash before the data exceed data-retention limit. On the other hand, I/O performance decreases due to increasing number of data movement from SCM to NAND flash. The SCM capacity is limited to have no error in SCM because the number of error sector depends on SCM capacity ratio with conventional eviction. However, Periodic eviction removes written data before occurring error completely regardless of SCM capacity ratio. Therefore, more SCM capacity can be added to hybrid SSD. As a result, the additional SCM enhances I/O performance 2.6 times compared with the performance with conventional eviction.
Sildenafil for Selective Serotonin Reuptake Inhibitor-Induced Erectile Dysfunction in Elderly Male Depressed Patients (2003)

Treatment with antidepressants, especially agents with potent serotonergic effects, is frequently associated with sexual side effects. In the present study, we examined the efficacy of sildenafil, a potent phosphodiesterase inhibitor, in the treatment of elderly men (n = 10; 70-81 years) with erectile dysfunction induced by antidepressant treatment for major depressive disorder. Eligible subjects were instructed to add sildenafil (25-50 mg/day) to their current drug treatment. Clinical assessment of erectile function was performed at beginning of treatment with sildenafil and at follow up, 4 weeks later. All patients reported an improvement of their erectile capacity, and in 7 out of 10 subjects, erectile function returned to a normal level. Sildenafil appears to be a safe and well-tolerated agent in elderly subjects. We noted side effects in 2 patients (flashes), but the side-effects were bothersome only to one patient (headache). It appears that sildenafil coadministration improves erectile dysfunction associated with selective serotonin reuptake inhibitor ongoing treatment in elderly patients.
PD40-07 ADDRESSING HEALTH LITERACY IMPROVES SHARED DECISION MAKING IN UNDERSERVED AFRICAN AMERICAN PROSTATE CANCER PATIENTS (2020)

remain in PCa screening. Further study is warranted to understand patient, provider, and system factors that contribute to disparities in PCa care and outcomes.
FDC Cache: Semantics-driven Federated Caching and Querying for Big Data (2020)

To deliver business value, most data-driven enterprises and applications require data to be extracted and merged from otherwise siloed data storage platforms. FDC Cache has been designed and developed to enable the fusion and caching of data drawn from multiple small and/or Big Data stores. This capability executes a sequence of queries, wherein the results from one query may be used to constrain subsequent queries. The results of each query are linked with results from previous queries, incrementally building a cache of semantically linked data that can be used to support multiple independent data requests. FDC Cache uses Semantic Web technologies, and knowledge graphs in particular, to describe the relevant data and relationships in a computable model. This enables applications to reason over the graph, for example to dynamically retrieve targeted subsets of data comprised of previously disparate information. We have successfully applied FDC Cache to two distinct industrial use cases: (i) merging data across multiple sources to assemble information about current parts in a gas turbine, and (ii) dynamically aligning siloed data from electric grid transmission and distribution networks to an industry-standard common model, in which the cache creation time has been shown to scale sub-linearly with the number of data elements. FDC Cache has been open-sourced as part of the GE-developed open source Semantics Toolkit.
The Effect of Functional Pelvic Tilt on the Three-Dimensional Acetabular Cup Orientation in Total Hip Arthroplasty Dislocations (2021)

Diagnostic, Level III.
A Study on Effectiveness to Evaluate Competencies by Student Survey Approach (2019)

The generic skills are important capabilities for engineers. We can measure them in the PROG competency test that is accepted as an objective evaluation method for the generic skills in society, but it costs every time and takes time to feed results back to students. On the other hands, in a student achievement survey method by a questionnaire survey, we can measure the generic skills of students easily and feed results back to them quickly, but it lacks in objectivity. In this paper, we analyze correlations between the generic skills and the total capabilities for working members of society in the student achievement survey method by students themselves and the PROG competency scores. As a result, we could find some relationships between the generic skills and the total capabilities for working members of society and ‘the fundamental competency to deal with the people around him/her’ , ‘the fundamental competency to face oneself ’ , and the PROG competency total score.
Power delay profile filtering techniques for indoor radio channel characterization (2011)

This paper presents a comparison of two power delay profile filtering techniques, the Relevance Vector Machine — RVM — and the Constant False Alarm Rate — CFAR. Both techniques are applied to power delay profiles (PDPs) measured in a indoor environment at 1.95 GHz on a 160 MHz channel bandwidth and the matched filter technique is used for the sounding. The RMS (root mean square) delay spreads are determined from these filtered PDPs and from the original ones. So, for all positions of the receiver, they are compared and the quadratic mean error is evaluated.
Joint estimation of activity and attenuation: Application to non-FDG TOF PET/MR clinical data (2016)

Attenuation correction is critical to accurate PET quantitation. Accurate and robust attenuation correction remains challenging in hybrid PET/MR because it is difficult to segment bones, internal air and lungs accurately in MR images and MR often suffers from artifacts due to metal implants and signal shading. Joint estimation (JE) of activity and attenuation from time-of-flight (TOF) PET data has recently gained substantial interest because the JE approach shows a promise to address the challenges in MR based attenuation correction. We have previously implemented a JE algorithm with MR-based priors and demonstrated its feasibility using FDG PET/MR clinical data. However, JE algorithms have rarely been evaluated on non-FDG tracers which often have spatially more specific uptake patterns with little activity in background tissue, and hence may pose challenges to JE. In this study, we evaluate the JE algorithm using non-FDG PET/MR clinical data. We demonstrate that the JE algorithm improves the accuracy and robustness of MR-based attenuation correction not only for FDG as previously shown but also for non-FDG tracers such as <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">68</sup> Ga-DOTATOC and Fluoride. In addition, we demonstrate the critical role of TOF information in JE algorithms.
CRISPro: An Automated Pipeline for Protein Conformation Stabilization by Proline (2018)

Recent studies have shown that the yield, antigenicity, and immunogenicity of an immunogen can be enhanced by stabilizing it into a specific conformation. Such stabilization often involves the engineering of proline mutations at residue positions where a proline is structurally compatible with the target conformation but not with an alternative conformation. However, there is no publicly available tool that can design proline mutations for this purpose automatically. Here we implemented an automated tool, CRISPro, that inputs structural coordinates of the target conformation and/or an alternative conformation and outputs a list of residue positions where proline mutations are predicted to stabilize the target conformation based on compatibility of phi-psi angles, secondary structure, and steric constraints. Thus, CRISPro can be used to engineer immunogens into specific conformation and to design serologic probes, capable of isolating antibodies that recognize a target shape.
A Novel Fluorescence-Based System for Assaying and Separating Live Cells according to VDJ Recombinase Activity (1990)

We describe two retroviral vector-based recombination substrate systems designed to assay for lymphoid VDJ recombinase activity in cultured cells. Both substrates incorporate a constitutive dominant marker gene (the simian virus promoter-driven neo gene) to allow selection of cells that stably integrate the substrate. Both substrates also include a second marker gene that becomes transcriptionally active only when inverted by a site-specific recombination event between flanking immunoglobulin variable-region gene segments. The first vector, similar in structure to previous retrovirus-based recombination substrates, utilizes the bacterial guanine-xanthine phosphoribosyltransferase gene (gpt) as its activatable marker; detection of inversion (VDJ recombinase activity) involves drug selection and Southern blotting analyses. We have used this vector to make a more extensive and quantitative survey of VDJ recombinase activity in B-lineage cell lines than has previously been performed with stable substrates, and we have compared our results with those of other studies that use transient recombination substrates. In the second vector, the activatable gene is the bacterial beta-galactosidase gene (lacZ). Detection for inversional activation of this gene is achieved by a fluorogenic assay, termed FACS-Gal, that detects beta-galactosidase activity in viable cells. The latter assay has the unique advantage of rapidly detecting cells that undergo recombination and also allows viable sorting of cells on the basis of the presence or absence of VDJ recombinase activity. We have used the lacZ vector to rapidly quantitate VDJ recombinase activity in B-lineage cell lines and compared the results with those obtained with the gpt vector. We have also used the lacZ vector to isolate variant pre-B-cell lines with low and high levels of VDJ recombinase activity.
Quartz superoscillatory lenses with NA > 1 (2019)

We developed design algorithms and manufacturing processes for quartz visible-range superoscillatory lenses. Lenses with focal spot size of 0.4λ, effective numerical aperture of 1.25 in air and working distance of 1 mm are demonstrated.
Low-Latency Modular Exponentiation for FPGAs (2022)

Modular exponentiation, especially for very large integers of hundreds or thousands of bits, is a commonly used function in popular cryptosystems such as RSA. The complexity of this algorithm is partly driven by the very large word sizes, which require many - often millions - of primitive operations in a CPU implementation, or a large amount of logic when accelerated by an ASIC. FPGAs, with their many embedded DSP resources have started to be used as well. In almost all cases, the calculations have required multiple - occasionally many - clock cycles to complete. Recently, blockchain algorithms have required very low-latency implementations of modular multiplications, motivating new implementations and approaches.In this paper we show nine different high performance modular exponentiation for 1024-bit operands, using a 1024-bit modular multiplication as it’s core. Rather than just showing a number of completed designs, our paper shows the evolution of architectures which lead to different resource mix options. This will allow the reader to apply the examples to different FPGA targets which may have differing ratios of logic, memory, and embedded DSP blocks. In one design, we show a 1024b modular multiplier requiring 83K ALMs and 2372 DSPs, with a delay of 21.21ns.
Ion beam generation and focusing on PBFA II (1990)

During the past year we have succeeded in obtaining a 5 TW/cm
 2 
proton focus
 1 
on Sandia National Laboratories' Particle Beam Fusion Accelerator (PBFA) II. This has allowed us to shift our experimental emphasis to the implementation of an improved ion diode geometry for higher voltage operation, full azimuthal beam characterization, and especially lithium ion source experiments. We have made significant progress in each of these areas during the past year, demonstrating 10 MV diode operation, ± 10% azimuthal beam symmetry, and promising initial results from lithium ion source experiments.
Chemical Modification of DNA with Muta-Carcinogens. III. Reductive Alkylation of DNA with Mitomycin C. (1985)

Yuichi Hashimoto, Koichi Shudo, Chemical Modification of DNA with Muta-Carcinogens. III. Reductive Alkylation of DNA with Mitomycin C., Environmental Health Perspectives, Vol. 62 (Oct., 1985), pp. 219-222
Gene family information facilitates variant interpretation and identification of disease-associated genes in neurodevelopmental disorders (2020)

This study represents the first method to incorporate gene family information into a statistical framework to interpret variant data for NDDs and to discover new NDD-associated genes.
High resolution double-sided diffractive optics for hard X-ray microscopy (2015)

The fabrication of high aspect ratio metallic nanostructures is crucial for the production of efficient diffractive X-ray optics in the hard X-ray range. We present a novel method to increase their structure height via the double-sided patterning of the support membrane. In transmission, the two Fresnel zone plates on the two sides of the substrate will act as a single zone plate with added structure height. The presented double-sided zone plates with 30 nm smallest zone width offer up to 9.9% focusing efficiency at 9 keV, that results in a factor of two improvement over their previously demonstrated single-sided counterparts. The increase in efficiency paves the way to speed up X-ray microscopy measurements and allows the more efficient utilization of the flux in full-field X-ray microscopy.
[NEt4][AuCl2][AuCl3]: Solid‐State Evidence of Essentially Y‐Shaped Jahn–Teller‐Distorted AuCl3 (2006)

Nach der Veröffentlichung dieser Zuschrift bemerkten die Autoren, dass die kristallographische Strukturbestimmung von [NEt4][HgCl2][HgCl3] bereits beschrieben wurde (Acta Cryst. E 2002, 58, m534). Zellparameter und Strukturdaten stimmen mit den Werten überein, die die Autoren erhielten und einer Verbindung der Zusammensetzung [NEt4][AuCl2][AuCl3] zuschrieben. Zweifellos wurde hier die Quecksilberverbindung vermessen, die als Verunreinigung im Reaktionsprodukt enthalten war, und daher sind alle Schlussfolgerungen hinfällig, die sich aus diesen Daten ergeben, obgleich einige goldhaltige Reaktionsprodukte in hohen Ausbeuten erhalten wurden. Aus diesem Grund ziehen die Autoren die Zuschrift zurück, und sie entschuldigen sich bei den Lesern der Angewandten Chemie. Sie bedanken sich bei Prof. H. Schmidbaur, der sie auf diesen Sachverhalt aufmerksam gemacht hat.
Higher-order-mode assisted silicon-on-insulator 90 degree polarization rotator (2009)

We propose and analyze a 90 degrees polarization rotator based on wave coupling through an intermediate, multimode, axially uniform waveguide. The coupling efficiency of the x- and y-polarized fundamental modes between the horizontal and vertical rectangular waveguides is remarkably enhanced with the help of the TE(01) mode in the multimode waveguide. The polarization rotator has a very short (21-microm) conversion length with a 17.22 dB extinction ratio. It also exhibits a 68-nm bandwidth for polarization conversion efficiency above 90%.
Electronic and nuclear contributions to time-resolved optical and X-ray absorption spectra of hematite and insights into photoelectrochemical performance (2016)

Spectra show both transient photocarriers and lattice heating.
Whole Exome Sequencing Reveals a Monogenic Cause of Disease in ≈43% of 35 Families With Midaortic Syndrome (2018)

Midaortic syndrome (MAS) is a rare cause of severe childhood hypertension characterized by narrowing of the abdominal aorta in children and is associated with extensive vascular disease. It may occur as part of a genetic syndrome, such as neurofibromatosis, or as consequence of a pathological inflammatory disease. However, most cases are considered idiopathic. We hypothesized that in a high percentage of these patients, a monogenic cause of disease may be detected by evaluating whole exome sequencing data for mutations in 1 of 38 candidate genes previously described to cause vasculopathy. We studied a cohort of 36 individuals from 35 different families with MAS by exome sequencing. In 15 of 35 families (42.9%), we detected likely causal dominant mutations. In 15 of 35 (42.9%) families with MAS, whole exome sequencing revealed a mutation in one of the genes previously associated with vascular disease (<i>NF1</i>, <i>JAG1</i>, <i>ELN</i>, <i>GATA6</i>, and <i>RNF213</i>). Ten of the 15 mutations have not previously been reported. This is the first report of <i>ELN</i>, <i>RNF213</i>, or <i>GATA6</i> mutations in individuals with MAS. Mutations were detected in <i>NF1</i> (6/15 families), <i>JAG1</i> (4/15 families), <i>ELN</i> (3/15 families), and one family each for <i>GATA6</i> and <i>RNF213</i> Eight individuals had syndromic disease and 7 individuals had isolated MAS. Whole exome sequencing can provide conclusive molecular genetic diagnosis in a high fraction of individuals with syndromic or isolated MAS. Establishing an etiologic diagnosis may reveal genotype/phenotype correlations for MAS in the future and should, therefore, be performed routinely in MAS.
AR Gauge Scanner Mobile Application (2021)

Abstract This paper showcases an innovative mobile application powered by IR4.0 technologies including augmented reality (AR) and artificial intelligence (AI). The purpose of this application is to enable digital transformation of analog gauges, digitize their measurements, automate historical data storage, visualize trends, and provide useful information about the gauge to the operator. Utilizing this application will replace the current practice of manual recording of readings in order to reduce human errors as well as promote operational efficiency. With this application, the operator simply points the mobile device's camera towards the gauge and the image is converted to a digital measurement using computer vision algorithms. The digitized readings are sent to a remote database for recordkeeping and data analytics. In order to identify which gauge is being scanned, which is necessary for proper recordkeeping, the application detects a unique QR-code tag attached to the gauge. Additionally, the application utilizes AR technology to overlay gauge specific information (such as gauge type, safe operating range, fluid type, etc.) along with the digitized reading. Visualization of historical readings is another feature in the application that assists the operator in trend monitoring and decision making. Preliminary tests for the prototype application were carried out in a laboratory environment to demonstrate the working principle of this application. Although the technology is in its early stages of development, it shows promising results in terms of accuracy and speed of the computer vision algorithms to detect and digitize the analog gauges. The historical data recorded by the application can also be accessed via the control room using a web interface, where information from various gauges can be retrieved and visualized for analysis and monitoring. Overall, the presented application integrates computer vision and augmented reality to provide an effective solution for digitizing analog gauges while promoting digital transformation efforts within the industry.
Random Access Protocol for Massive MIMO: Strongest-User Collision\n Resolution (SUCR) (2015)

Wireless networks with many antennas at the base stations and multiplexing of\nmany users, known as Massive MIMO systems, are key to handle the rapid growth\nof data traffic. As the number of users increases, the random access in\ncontemporary networks will be flooded by user collisions. In this paper, we\npropose a reengineered random access protocol, coined strongest-user collision\nresolution (SUCR). It exploits the channel hardening feature of Massive MIMO\nchannels to enable each user to detect collisions, determine how strong the\ncontenders' channels are, and only keep transmitting if it has the strongest\nchannel gain. The proposed SUCR protocol can quickly and distributively resolve\nthe vast majority of all pilot collisions.\n
Template Matching for 3D Objects in Large Point Clouds Using DBMS (2021)

LIDAR and depth cameras have gone through a profound technological evolution, making large-scale recording of 3D point cloud data possible which raises new challenges for data processing. Most of the existing 3D point cloud processing methods were developed to work properly when the entire data set fits into the memory of a single server. When point clouds are significantly larger than the main memory and data are only available on slow storage, new approaches are necessary. In this paper, we propose a DBMS-based point cloud processing pipeline that solves the template matching problem, i.e., finding the - potentially multiple - occurrences of a small query point cloud in an extensive scene data set that is preprocessed and stored in a database. The storage layer uses a compact and novel data representation to exploit the benefits of efficient indexing structures whereas the query algorithm consists of a novel combination of existing point cloud processing and matching methods. To the best of our knowledge, this is the first template matching proposal in the literature that exploits the benefits of databases.
Multidisciplinary Management of Mastocytosis: Nordic Expert Group Consensus (2015)

Mastocytosis is a heterogeneous group of diseases defined by an increased number and accumulation of mast cells, and often also by signs and symptoms of mast cell activation. Disease subtypes range from indolent to rare aggressive forms. Mastocytosis affects people of all ages and has been considered rare; however, it is probably underdiagnosed with potential severe implications. Diagnosis can be challenging and symptoms may be complex and involve multiple organ-systems. In general it is advised that patients should be referred to centres with experience in the disease offering an individualized, multidisciplinary approach. We present here consensus recommendations from a Nordic expert group for the diagnosis and general management of patients with mastocytosis.
Magnetic phase diagram of Cs3Cu2C17.2H20 (1970)

Magnetic phase diagram of hydrated cesium-copper carbide at 1.625 Neel temperature in external magnetic fields, giving equation for spin flop field temperature dependence