gebhart/patrepeval huggingface dataset:
On the low-frequency suppression performance of DC-free runlength-limited modulation codes (1996)

Basic trade-offs between the rate of combined DC-free runlength-limited (DCRLL) modulation codes and the amount of suppression of low-frequency components are presented. The main results are obtained by means of a numerical study of dependencies between statistical properties of ideal, "maxentropic" DCRLL sequences. The numerical results are mathematically founded by proving the observed behavior of the Shannon capacity of the DCRLL constraints for asymptotically large values of digital sum variation. Presented characteristics of maxentropic DCRLL sequences comply with the corresponding properties of maxentropic pure DC-free sequences, as previously considered by Justesen (1982) and Immink (1991). Knowledge of the maxentropic bounds enables us to evaluate the performances of implemented DCRLL codes with respect to their low-frequency suppression capability. Among the considered codes are the EFM code as applied in the compact disc system, and the EFMPlus code which has been adopted as the coding format of the DVD system.
In vivo delayed hypersensitivity reactions to partially purified human melanoma antigens (1982)

Sera from patients receiving autologous cell immunization were shown to contain antibody specific for melanoma cells by immunofluorescence, microcomplement fixation, and mixed hemadsorption. These hyperimmune specific sera were used to define antigens shed into tissue culture media from human malignant melanoma cells. When supernatants from cultured melanoma cells were passed over a Sephadex G-200 column, melanoma antigens were found in Peak 2. The active fraction was further purified by carboxymethylcellulose ion exchanger and found in the 0.4 M NaCl gradient. This fraction has been tested in four immunized patients and in one nonimmunized melanoma patient. All five patients developed lymphocytic vasculitis compatible with delayed hypersensitivity reaction. These antigens should be of benefit in studying delayed hypersensitivity in melanoma patients and as potential agents for specific immunotherapy.
LC diketones: synthesis, transformations and mesomorphic properties (2000)

The synthesis and chemical transformations of various diketones into liquid crystalline compounds are discussed. The diketones were prepared by the interaction of cyclohexene with acid chlorides and benzene in the presence of aluminium chloride (Nenitzescu method) or by Friedel Crafts reaction of trans-4-alkanoyl-1-phenylcyclohexanes or trans-2-alkyl-5-phenylcyclohexanones with acid chlorides, or by the condensation of corresponding Mannich salts with 2-substituted acetoacetates or acetylacetone.
Least-squares migration incomplete reflection data (1999)

Abstract A least-squares migration algorithm is presented that reduces the migration artifacts (i.e., recording footprint noise) arising from incomplete data. Instead of migrating data with the adjoint of the forward modeling operator, the normal equations are inverted by using a preconditioned linear conjugate gradient scheme that employs regularization. The modeling operator is constructed from an asymptotic acoustic integral equation, and its adjoint is the Kirchhoff migration operator. We tested the performance of the least-squares migration on synthetic and field data in the cases of limited recording aperture, coarse sampling, and acquisition gaps in the data. Numerical results show that the least-squares migrated sections are typically more focused than are the corresponding Kirchhoff migrated sections and their reflectivity frequency distributions are closer to those of the true model frequency distribution. Regularization helps attenuate migration artifacts and provides a sharper, better frequency distribution of estimated reflectivity. The least-squares migrated sections can be used to predict the missing data traces and interpolate and extrapolate them according to the governing modeling equations. Several field data examples are presented. A ground-penetrating radar data example demonstrates the suppression of the recording footprint noise due to a limited aperture, a large gap, and an undersampled receiver line. In addition, better fault resolution was achieved after applying least-squares migration to a poststack marine data set. And a reverse vertical seismic profiling example shows that the recording footprint noise due to a coarse receiver interval can be suppressed by least-squares migration.
Regulation of serine protease activity by an engineered metal switch (1990)

A recombinant trypsin was designed whose catalytic activity can be regulated by varying the concentration of Cu2+ in solution. Substitution of Arg-96 with a His in rat trypsin (trypsin R96H) places a new imidazole group on the surface of the enzyme near the essential active-site His-57. The unique spatial orientation of these His side chains results in the formation of a stable, metal-binding site that chelates divalent first-row transition-metal ions. Occupancy of this site by a metal ion prevents the imidazole group of His-57 from participating as a general base in catalysis. As a consequence, the primary effect of the transition metal ion is to inhibit the esterase and amidase activities of trypsin R96H. The apparent Ki for this inhibition is in the micromolar range for copper, nickel, and zinc, the tightest binding being to Cu2+ at 21 microM. Trypsin R96H activity can be fully restored by removing the bound Cu2+ ion with EDTA. Multiple cycles of inhibition by Cu2+ ions and reactivation by EDTA demonstrate that reversible regulatory control has been introduced into the enzyme. These results describe a novel mode of inhibition of serine protease activity that may also prove applicable to other proteins.
T cell response pattern to glutamic acid decarboxylase 65 (GAD65) peptides of newly diagnosed type 1 diabetic patients sharing susceptible HLA haplotypes (1999)

Autoantibodies and autoreactive T lymphocytes directed against several pancreatic beta cell proteins such as GAD65 have been identified in the circulation before and at the onset of clinical type 1 (insulin-dependent) diabetes. Using GAD65 synthetic peptides, we studied the proliferative response of peripheral blood mononuclear cells (PBMC) either from recently diagnosed type 1 diabetic patients, of whom the majority share the disease-associated HLA class II haplotype (DR4-DQB1*0201 or DR3-DQB1*0302), or from HLA-matched control subjects. We found that 67% (14/21) of the type 1 diabetic patients and 39% (9/23) of the control subjects exhibited a positive proliferative response. Compared with control subjects, however, PBMC from diabetic patients proliferated more frequently (P < 0.05) in the presence of peptide pools from the C-terminal region of GAD65 (amino acids 379-585). Diabetic patients with the same HLA-DQ or HLA-DR alleles showed partially identical T cell reactivity, but no clear correlation could be made between MHC class II specificity and T cell epitopes because of multiple combinations of class II alleles. In addition, by flow cytometry, we studied the direct binding of GAD65 peptides to MHC class II molecules of Epstein-Barr virus (EBV)-transformed B (EBV-B) cells obtained from a diabetic patient. We found that 11 GAD peptides were able to bind to the highly susceptible haplotype DRB1*0301/0401-DQA1*0301/0501-DQB1*0302/0201 on the surface of EBV-B cells in partial correlation with the results obtained in the proliferation assays.
The oncolytic virus Delta-24-RGD elicits an antitumor effect in pediatric glioma and DIPG mouse models (2019)

Pediatric high-grade glioma (pHGG) and diffuse intrinsic pontine gliomas (DIPGs) are aggressive pediatric brain tumors in desperate need of a curative treatment. Oncolytic virotherapy is emerging as a solid therapeutic approach. Delta-24-RGD is a replication competent adenovirus engineered to replicate in tumor cells with an aberrant RB pathway. This virus has proven to be safe and effective in adult gliomas. Here we report that the administration of Delta-24-RGD is safe in mice and results in a significant increase in survival in immunodeficient and immunocompetent models of pHGG and DIPGs. Our results show that the Delta-24-RGD antiglioma effect is mediated by the oncolytic effect and the immune response elicited against the tumor. Altogether, our data highlight the potential of this virus as treatment for patients with these tumors. Of clinical significance, these data have led to the start of a phase I/II clinical trial at our institution for newly diagnosed DIPG (NCT03178032).
Performance modeling in CUDA streams &#x2014; A means for high-throughput data processing (2014)

Push-based database management system (DBMS) is a new type of data processing software that streams large volume of data to concurrent query operators. The high data rate of such systems requires large computing power provided by the query engine. In our previous work, we built a push-based DBMS named G-SDMS to harness the unrivaled computational capabilities of modern GPUs. A major design goal of G-SDMS is to support concurrent processing of heterogenous query processing operations and enable resource allocation among such operations. Understanding the performance of operations as a result of resource consumption is thus a premise in the design of G-SDMS. With NVIDIA's CUDA framework as the system implementation platform, we present our recent work on performance modeling of CUDA kernels running concurrently under a runtime mechanism named <i>CUDA stream</i>. Specifically, we explore the connection between performance and resource occupancy of compute-bound kernels and develop a model that can predict the performance of such kernels. Furthermore, we provide an in-depth anatomy of the CUDA stream mechanism and summarize the main kernel scheduling disciplines in it. Our models and derived scheduling disciplines are verified by extensive experiments using synthetic and real-world CUDA kernels.
Fundamentals of Lung Auscultation (2014)

Computer-assisted techniques allow detailed analysis of the acoustic and physiological aspects of lung sounds. This short review of classic lung sounds includes both audio clips and interpretations made in the light of modern pulmonary acoustics.
Impact of Topology on the Scalability of Mach–Zehnder-Based Multistage Silicon Photonic Switch Networks (2017)

We analyze the scalability of electro-optic Mach-Zehnder-based silicon photonic switch networks. We describe a simulation framework based on the transfer matrix method that enable to model any type of multistage networks. We simulate three common network topologies - Beneš, path-independent loss, and double-layer - and analyze their scalability by performing optical link numerical simulations for 50 Gbps non-return-to-zero signals. Our study shows that for a radix-16, the double-layer network performs better with a link power penalty smaller than 1 dB thanks to its dilated arrangement. For equivalent radix, the Beneš and path-independent loss networks have link power penalties larger than 4 dB. Our simulations also show stringent requirements for the waveguide crossing crosstalk, whose value should be smaller than -35 dB to close any realistic link budget.
Building Change Detection Based on Satellite Stereo Imagery and Digital Surface Models (2013)

Building change detection is a major issue for urban area monitoring. Due to different imaging conditions and sensor parameters, 2-D information delivered by satellite images from different dates is often not sufficient when dealing with building changes. Moreover, due to the similar spectral characteristics, it is often difficult to distinguish buildings from other man-made constructions, like roads and bridges, during the change detection procedure. Therefore, stereo imagery is of importance to provide the height component which is very helpful in analyzing 3-D building changes. In this paper, we propose a change detection method based on stereo imagery and digital surface models (DSMs) generated with stereo matching methodology and provide a solution by the joint use of height changes and Kullback-Leibler divergence similarity measure between the original images. The Dempster-Shafer fusion theory is adopted to combine these two change indicators to improve the accuracy. In addition, vegetation and shadow classifications are used as no-building change indicators for refining the change detection results. In the end, an object-based building extraction method based on shape features is performed. For evaluation purpose, the proposed method is applied in two test areas, one is in an industrial area in Korea with stereo imagery from the same sensor and the other represents a dense urban area in Germany using stereo imagery from different sensors with different resolutions. Our experimental results confirm the efficiency and high accuracy of the proposed methodology even for different kinds and combinations of stereo images and consequently different DSM qualities.
Scheduling Self-Suspending Tasks: New and Old Results (Artifact) (2019)

In computing systems, a job may suspend itself (before it finishes its execution) when it has to wait for certain results from other (usually external) activities. For real-time systems, such self-suspension behavior has been shown to induce performance degradation. Hence, the researchers in the real-time systems community have devoted themselves to the design and analysis of scheduling algorithms that can alleviate the performance penalty due to self-suspension behavior. As self-suspension and delegation of parts of a job to non-bottleneck resources is pretty natural in many applications, researchers in the operations research (OR) community have also explored scheduling algorithms for systems with such suspension behavior, called the master-slave problem in the OR community. This paper first reviews the results for the master-slave problem in the OR literature and explains their impact on several long-standing problems for scheduling self-suspending real-time tasks. For frame-based periodic real-time tasks, in which the periods of all tasks are identical and all jobs related to one frame are released synchronously, we explore different approximation metrics with respect to resource augmentation factors under different scenarios for both uniprocessor and multiprocessor systems, and demonstrate that different approximation metrics can create different levels of difficulty for the approximation. Our experimental results show that such more carefully designed schedules can significantly outperform the state-of-the-art.
Xu Beihong and Xie Shoukang and Famous Drama &quot;Li Broken Jade&quot; (2022)

三仓出版社主要从事中文国际开源期刊的出版与发行，期刊领域涵盖工程技术、数学与物理、人文社会、信息科学、经济与管理、医药卫生、农业、地球环境等学科，借助互联网思维及现代信息技术，立足国内高校及研究机构的科研需求，力图推动中国学术界知识的交流与传播，可期刊发表、发表论文、快速发表，见刊快。三仓出版社欢迎广大科研学者加入我们，参与审稿，合作办刊，投稿荐稿，与中文期刊一同成长壮大。如果您对期刊有任何的意见或者建议，请联系service@sciscanpub.com.
Data transformation for warehousing Web data (2002)

In order to analyze market trends and make reasonable business plans, a company's local data is not sufficient. Decision-making must also be based on information from suppliers, partners and competitors. This external data can be obtained from the World Wide Web in many cases, but must be integrated with the company's own data, e.g. in a data warehouse. To this end, Web data has to be mapped to the star schema of the warehouse. In this paper, we propose a semi-automatic approach to support this transformation process. Our approach is based on the use of a rooted labeled tree representation of Web data and the existing warehouse schema. Based on this common view, we can compare the source and target schemata to identify correspondences. We show how the correspondences guide the transformation to be accomplished automatically. We also explain the meaning of recursion and restructuring in mapping rules, which are the core of the transformation algorithm.
Nonthermal Plasma-Assisted Photocatalytic Conversion of Simulated Natural Gas for High-Quality Gasoline Production near Ambient Conditions (2020)

We report a novel nonthermal plasma-assisted photocatalytic approach that could efficiently convert the main components of natural gas, methane and propane, into high-quality gasoline chemicals abundant with C<sub>6</sub>-C<sub>9</sub> branched-chain paraffins at low temperature and atmospheric pressure. The conversions of methane and propane can reach up to 15.0% and 48.6%, respectively. A 58.4 C% yield of gasoline products with limited coke deposition (6.3 C%) can be achieved via the combination of plasma with photocatalysis. Isotope labeling experiments show that methane prefers to be incorporated into 1-C or 2-C of the formed alkanes as a terminal group. Our work demonstrates an industrially promising strategy for the cost-efficient utilization of natural gas.
Intensity-based laser distance measurement system using 2D electromagnetic scanning micromirror (2018)

In this research, we present the feasibility testing results of a simple distance measurement system using microfabricated scanning micromirrors. Two different configurations have been tested with different types of micromirrors. In the first configuration, Lissajous scan pattern has been generated with horizontal scan frequency of 715 Hz, and the intensity of the laser beam reflected from the object has been measured with avalanche photodiode to estimate the distance. The position of the beam has been tracked using a separate position sensitive detector. Signals from both sensors are synchronized by eliminating the signal delay, which enables the detection of the distance of a specific point in the 2-dimensional scan pattern. In the simplified configuration, faster scanning micromirror with horizontal scan frequency of 28.8 kHz has been used to increase the resolution and position sensitive detector has been removed from the system by synchronizing the driving current waveform with the avalanche photodiode signals. Distance measurement from 20 to 50 cm has been demonstrated with the developed system.
<title>Design of a hybrid model classifier for data mining applications</title> (2000)

Information and energy are at the core of everything around us. Our entire existence is a process of gathering. analyzing, understanding and acting on the information. For many applications dealing with large amount of data Pattern classification is a key element in arriving at the solution. Engineering applications like SONAR. RADAR. SEISMIC and medical diagnosis require the ability to accurately classify the recorded data for controlling, tracking and decision making respectively. Although modern technologies enable storage of large streams of data, we do not yet have a technology to help as to understand, analyze, on even visualize the hidden information in the data. Data Mining is now the emerging field atrracting all research communities. Pattern classification is one particular category of Data Mining, which enables the Discovery of Knowledge from Very Large Databases (VLDB). In this paper, mining the database through pattern classification has been done by utilizing two important mining tools called Artificial Neural Network (ANN) and Genetic Algorithm (GA). Fuzzy logic concepts are applied to improve decision-making capability of the network. Genetic Algorithm is used for optimizing different parameters controlling the network in the training stage and reducing the total number of rules generated through the rule generation algorithm. The Artificial Neural Network used is a Fuzzy Muitilayer Perceptron (FMLP) with Backpropagation algorithm for training the neural network. The concept of Knowledge eneoding incorporated in the FMLP helps the network converge to the target quickly and thus reducing the search space. Knowledge based Fuzzy Multilayer Perceptron [FMLP]. using fuzzy mean square error function has beer, propased for Data Mining applications. The knowledge encoded network is trained with the backpropagation aigorithm. The network size is optintized to have a minimal number of links through pruning procedure. Rules are generated from the refined network using the input, output membership values and connection weights. Each rule has an antecedent and consequent part Jefining the attributes and the confidence value. The network's performance is tested on the Image segmentation data obtained from machine learning database site.
The Mechanisms of UV Mutagenesis (2011)

Ultraviolet (UV) light induces specific mutations in the cellular and skin genome such as UV-signature and triplet mutations, the mechanism of which has been thought to involve translesion DNA synthesis (TLS) over UV-induced DNA base damage. Two models have been proposed: "error-free" bypass of deaminated cytosine-containing cyclobutane pyrimidine dimers (CPDs) by DNA polymerase η, and error-prone bypass of CPDs and other UV-induced photolesions by combinations of TLS and replicative DNA polymerases--the latter model has also been known as the two-step model, in which the cooperation of two (or more) DNA polymerases as misinserters and (mis)extenders is assumed. Daylight UV induces a characteristic UV-specific mutation, a UV-signature mutation occurring preferentially at methyl-CpG sites, which is also observed frequently after exposure to either UVB or UVA, but not to UVC. The wavelengths relevant to the mutation are so consistent with the composition of daylight UV that the mutation is called solar-UV signature, highlighting the importance of this type of mutation for creatures with the cytosine-methylated genome that are exposed to the sun in the natural environment. UVA has also been suggested to induce oxidative types of mutation, which would be caused by oxidative DNA damage produced through the oxidative stress after the irradiation. Indeed, UVA produces oxidative DNA damage not only in cells but also in skin, which, however, does not seem sufficient to induce mutations in the normal skin genome. In contrast, it has been demonstrated that UVA exclusively induces the solar-UV signature mutations in vivo through CPD formation.
Escherichia coli pleiotropic mutant that reduces amounts of several periplasmic and outer membrane proteins (1979)

We have isolated a mutant of Escherichia coli K-12 that is reduced from 6- to 10-fold in the amount of alkaline phosphatase found in the periplasmic space. The reduced synthesis is not due to effects at the level of transcription regulation of the phoA gene, the structural gene for the enzyme. In addition, the mutation (termed perA) responsible for this phenotype results in reduced amounts of possibly six or more other periplasmic proteins and at least three outer membrane proteins. One of the outer membrane proteins affected is protein IA (D. L. Diedrich, A. O. Summers, and C. A. Schnaitman, J. Bacteriol. 131:598-607, 1977). Although other possibilities exist, one explanation for the phenotype of the perA mutation is that it affects the cell's secretory apparatus.
Poincaré Plot Quantification for Assessing Glucose Variability from Continuous Glucose Monitoring Systems and a New Risk Marker for Hypoglycemia: Application to Type 1 Diabetes Patients Switching to Continuous Subcutaneous Insulin Infusion (2013)

PCP metrics are correlated with known GV indices and may be used for the study of CGM recording series in type 1 diabetes. SFE is a new risk marker for hypoglycemia.