gebhart/patrepeval huggingface dataset:
Routing Attribute Data Mining Based on Rough Set Theory (2006)

QOSPF(Quality of Service Open Shortest Path First)based on QoS routing has been recognized as a missing piece in the evolution of QoS-based services in the Internet. Data mining has emerged as a tool for data analysis, discovery of new information, and autonomous decision-making. This paper focuses on routing algorithms and their applications for computing QoS routes in OSPF protocol. The proposed approach is based on a data mining approach using rough set theory, for which the attribute-value system about links of networks is created from network topology. Rough set theory of-fers a knowledge discovery approach to extracting routing-decisions from attribute set. The extracted rules can then be used to select significant routing-attributes and make routing-selections in routers. A case study is conducted to demonstrate that rough set theory is effective in finding the most significant attribute set. It is shown that the algo-rithm based on data mining and rough set offers a promising approach to the attribute-selection problem in internet routing.
Spatial and Temporal Potato Intensification Drives Insecticide Resistance in the Specialist Herbivore, Leptinotarsa decemlineata (2015)

Landscape-scale intensification of individual crops and pesticide use that is associated with this intensification is an emerging, environmental problem that is expected to have unequal effects on pests with different lifecycles, host ranges, and dispersal abilities. We investigate if intensification of a single crop in an agroecosystem has a direct effect on insecticide resistance in a specialist insect herbivore. Using a major potato pest, Leptinotarsa decemlineata, we measured imidacloprid (neonicotinoid) resistance in populations across a spatiotemporal crop production gradient where potato production has increased in Michigan and Wisconsin, USA. We found that concurrent estimates of area and temporal frequency of potato production better described patterns of imidacloprid resistance among L. decemlineata populations than general measures of agricultural production (% cropland, landscape diversity). This study defines the effects individual crop rotation patterns can have on specialist herbivore insecticide resistance in an agroecosystem context, and how impacts of intensive production can be estimated with general estimates of insecticide use. Our results provide empirical evidence that variation in the intensity of neonicotinoid-treated potato in an agricultural landscape can have unequal impacts on L. decemlineata insecticide insensitivity, a process that can lead to resistance and locally intensive insecticide use. Our study provides a novel approach applicable in other agricultural systems to estimate impacts of crop rotation, increased pesticide dependence, insecticide resistance, and external costs of pest management practices on ecosystem health.
The Use of Mucoadhesive Polymers to Enhance the Hypotensive Effect of a Melatonin Analogue, 5-MCA-NAT, in Rabbit Eyes (2010)

The hypotensive effect of 5-MCA-NAT was increased by using bioadhesive polymers in formulations that are suitable for the ocular surface and also protective of the eye in long-term therapies. The use of 5-MCA-NAT combined with bioadhesive polymers is a good strategy in the treatment of ocular hypertension and glaucoma.
Comparison of specific absorption rate (SAR) induced in child-sized and adult heads using a dual band mobile phone (2004)

This paper gives a study and comparison of specific absorption rate (SAR) induced in a child-sized head and an adult head using a dual band mobile phone. Both the average SAR over a mass of 10g in the head and the power budget are determined in the two cases using the finite difference in time domain (FDTD) method. The differences between the results for adult and child-sized heads are discussed at 900 MHz and 1800 MHz.
LSC - 2021 - COL4A3 expression in asthmatic epithelium depends on intronic methylation and ZNF263 binding (2021)

<b>Background:</b> Several environmental exposures like rhinovirus infections alter DNA methylation in airway cells which presents a mechanism through which risk to airflow inflammation and obstruction is posed. Collagen type 4 alpha 3 (COL4A3) is a basal membrane constituent and has anti-angiogenic and anti-inflammatory properties in asthma. COL4A3 is reduced in asthmatic airways. However, the mechanism underlying COL4A3 reduction has remained elusive to date. <b>Objective:</b> To investigate whether ZNF263 binding and an intronic methylation regulate COL4A3 expression in asthmatic epithelium. <b>Methods:</b> RNA and DNA from bronchial biopsies (BB) of 76 asthmatics, 83 controls and from BEAS-2Bs infected with rhinovirus-16 (RV-16) were isolated (AllPrep DNA/RNA kit, Qiagen) and subjected to RNA-sequencing (HiSeq 2500 system, Illumina) and DNA methylation (450k BeadChip, Illumina) analysis. Zinc finger protein (ZNF) 263 binding was assessed by quantitative chromatin immunoprecipitation. Methylation was quantified by pyrosequencing (PyroMark Q24 system, Qiagen). ZNF263 was silenced (ZNF263 On-Target siRNA, Dharmacon technologies) and COL4A3 expression was measured by qPCR. <b>Results:</b> In asthmatic BBs, COL4A3 expression was significantly decreased (pCOL4A3 expression (-60%, pCOL4A3 expression (-40%, p. <b>Conclusion:</b> Our data suggests an epigenetic modification at cg11797365 interrupts ZNF263 binding which may contribute to the COL4A3 expression deficit in asthmatic airways.
Tile Multiple-Readout and Beyond for FCC (2022)

Dual Readout Calorimetry measures scintillation light and Cherenkov light on the same hadron shower to correct the jet energy in order to compensate hadron and jet energy measurements. Dual Readout with parallel plastic scintillator and quartz fibers shows promise, but limitations exist including but not limited to radiation damage of the plastic scintillators and high costs. We present dual readout calorimetry with scintillator and Cherenkov tile readout and beyond to multiple tile readout, with superior energy resolution, and radiation resistant ionization sensors in the form of tiles (inorganic scintillators, Si, LArgon). Monte Carlo (MC) studies were used to design prototype tile dual calorimeters using Fe or Cu absorbers, Cherenkov and plastic scintillator tiles, including an integral Cherenkov-compensated electromagnetic frontend using Pb tiles. The MC studies are extended to other tile types appropriate for dual readout and extend to multiple readout with 3 or more types of tile radiation sensors – sensors with different responses and/or higher contrast to component signals to electromagnetic or hadron showers, neutrons and ions. Sensors include tiles with low refractive indices (aerogel, others), transition radiation “tiles”, secondary emission tiles sensitive to ions and low energy protons, hydrogenous vs non-hydrogenous ionization-sensing tiles, and neutron sensing tiles. Multiple readout improves dual readout by extending to triple or more readout. Of special interest is application of tile dual or multiple tile readout to high granularity particle/energy flow calorimeters, not possible with parallel fibers.
On the Inseparability of Grammar and the Lexicon: Evidence from Acquisition, Aphasia and Real-time Processing (1997)

Within linguistic theory, many phenomena that were previously handled by a separate grammatical component have been moved into the lexicon; in some theories, the contrast between grammar and the lexicon has disappeared altogether. In a review of findings from language development, language breakdown and real-time processing, we conclude that the case for a modular distinction between grammar and the lexicon has been overstated, and that the evidence to date is compatible with a unified lexicalist account. Studies of normal children show that the emergence of grammar is highly dependent upon vocabulary size, a finding confirmed and extended in atypical populations. Studies of language breakdown in older children and adults provide no evidence for a modular dissociation between grammar and the lexicon; some structures are especially vulnerable to brain damage (e.g. function words, non-canonical word orders), but this vulnerability is also observed in neurologically intact individuals under perceptual degradation or cognitive overload. Finally, on-line studies provide evidence for early and intricate interactions between lexical and grammatical information in normal adults. A possible characterization of this unified lexical processor is offered, based on distributed representations in recurrent neural networks.
NHERF1 acts as a molecular switch to program metastatic behavior and organotropism via its PDZ domains (2012)

Metastatic cells are highly plastic for differential expression of tumor phenotype hallmarks and metastatic organotropism. The signaling proteins orchestrating the shift of one cell phenotype and organ pattern to another are little known. Na(+)/H(+) exchanger regulatory factor (NHERF1) is a molecular pathway organizer, PDZ-domain protein that recruits membrane, cytoplasmic, and cytoskeletal signaling proteins into functional complexes. To gain insight into the role of NHERF1 in metastatic progression, we stably transfected a metastatic breast cell line, MDA-MB-231, with an empty vector, with wild-type NHERF1, or with NHERF1 mutated in either the PDZ1- or PDZ2-binding domains to block their binding activities. We observed that NHERF1 differentially regulates the expression of two phenotypic programs through its PDZ domains, and these programs form the mechanistic basis for metastatic organotropism. The PDZ2 domain promotes visceral metastases via increased invadopodia-dependent invasion and anchorage-independent growth, as well as by inhibition of apoptosis, whereas the PDZ1 domain promotes bone metastases by stimulating podosome nucleation, motility, neoangiogenesis, vasculogenic mimicry, and osteoclastogenesis in the absence of increased growth or invasion. Collectively, these findings identify NHERF1 as an important signaling nexus for coordinating cell structure with metastatic behavior and identifies the "mesenchymal-to-vasculogenic" phenotypic transition as an essential step in metastatic progression.
109 Gbit/in.2 Recording on Near-Field Optical Disc Using Combination of Partial-Response Channel and Low-Density Parity-Check Code (2009)

The signal properties were examined at recording densities higher than 100 Gbit/in.2 in our solid immersion lens recording system of 1.84 numerical aperture (NA). The low-density parity-check coded partial-response (PR) 17-parity preserve/prohibit (PP) system increased the recording density by approximately 35% compared with the previous results. The recording power tolerance was ±8.1% at a recording density of 109 Gbit/in.2. We conclude that the upper limit of recording density is 109 Gbit/in.2, which is equivalent to 151 Gbytes for a 12-cm-diameter disc, assuming the same redundancy as that of the Blu-ray disc format.
Average peptide score: a useful parameter for identification of proteins derived from database searches of liquid chromatography/tandem mass spectrometry data (2004)

The quantity and variable quality of data that can be generated from liquid chromatography (LC)/mass spectrometry (MS)-based proteomics analyses creates many challenges in interpreting the spectra in terms of the actual proteins in a complex sample. In spite of improvements in algorithms that match putative peptide sequences to MS/MS spectra, the assembly of these lists of possible or probable peptides into a 'correct' set of proteins is still problematic. We have observed a trend in a simple relationship, derived from standard database search outputs, which can be useful in assessing the quality of a MS/MS-based protein identification. Specifically, the ratio of the protein score and number of non-redundant peptides, or average peptide score (APS), can facilitate initial filtering of database search results in addition to providing a useful measure of confidence for the proteins identified. This parameter has been applied to results from the analysis of multi-protein complexes derived from pull-down experiments analyzed using a two-dimensional LC/MS/MS workflow. In particular, the complex list of protein identifications derived from a drug affinity pull-down with immobilized ampicillin and an E. coli lysate was greatly simplified by applying the APS as a filter, allowing for facile identification of the penicillin-binding proteins known to interact with ampicillin. Furthermore, an APS threshold can be used for any data sets derived from electrospray ionization (ESI)- or matrix-assisted laser desorption/ionization (MALDI)-MS/MS experiments and is also not specific to any database search program.
Prevalence and incidence of asthma and rhinoconjunctivitis in Swedish teenagers (1998)

In 1987, we studied the prevalence of asthma and rhinoconjunctivitis in 1112 grade-eight students in the town of Umeå, northern Sweden. The present study is based on the same cohort, reinvestigated in 1991. We aimed to estimate the changes in the prevalence of asthma and rhinoconjunctivitis and to examine some presumed risk factors of asthma and rhinoconjunctivitis. A postal questionnaire on present asthma, rhinoconjunctivitis, symptoms from the upper and lower airways, and the need for medication was used. Questions about living conditions, smoking, and present education were also included. The questionnaire was answered by 89% (990) of the subjects. The prevalence of self-reported asthma was 10.8% (boys 7.9%, girls 13.7%). The incidence rate/year was 1.1%, the remission rate/year was 5.7%, and the relapse rate/year was 10%. The risk factors for developing asthma appeared to be atopy, having a family history of asthma or rhinoconjunctivitis, and smoking. The prevalence of self-reported rhinoconjunctivitis was 14.3% (boys 15.6%, girls 13.1%). The incidence rate/year was 1%, the remission rate/year was 22%, and the relapse rate/year was 11%. Stopping smoking and having no family history of rhinoconjunctivitis or asthma appeared to favor remission in rhinoconjunctivitis.
Distributed LCMV Beamforming in a Wireless Sensor Network With Single-Channel Per-Node Signal Transmission (2013)

Linearly constrained minimum variance (LCMV) beamforming is a popular spatial filtering technique for signal estimation or signal enhancement in many different fields. We consider distributed LCMV (D-LCMV) beamforming in wireless sensor networks (WSNs) with either a fully connected or a tree topology. In the D-LCMV beamformer algorithm, each node fuses its multiple sensor signals into a single-channel signal of which observations are then transmitted to other nodes. We envisage an adaptive/time-recursive implementation where each node adapts its local LCMV beamformer coefficients to changes in the local sensor signal statistics, as well as to changes in the statistics of the wirelessly received signals. Although the per-node signal transmission and computational power is greatly reduced compared to a centralized realization, we show that it is possible for each node to generate the centralized LCMV beamformer output as if it had access to all sensor signals in the entire network, without an explicit computation of the network-wide sensor signal covariance matrix. We provide sufficient conditions for convergence and optimality of the D-LCMV beamformer. The theoretical results are validated by means of Monte Carlo simulations, which demonstrate the performance of the D-LCMV beamformer.
Effect of Heparin on the High Affinity KGF and aFGF Binding to the Chimeric KGFR-HFc (1996)

To investigate the role of heparin in keratinocyte growth factor (KGF) and acidic fibroblast growth factor (aFGF) high affinity binding to the KGF receptor (KGFR), a cell free system was established which utilized a secreted chimeric molecule between the KGFR extracellular domain and the immunoglobulin heavy chain Fc domain (KGFR-HFc). KGFR-HFc was purified from NIH 3T3 cells and demonstrated the binding of as well as heparin Sepharose. Scatchard analysis showed that the dissociation constant for heparin binding to KGFR-HFc was 140 nM. High affinity KGF and aFGF binding to KGFR-HFc remained unchanged after treatment with 0.6 M NaCl, which is the concentration sufficient to release any bound heparin to the KGFR-HFc. These results strongly suggest that although the KGFR interacts with heparin, the presence of heparin is not absolutely required for high affinity binding of either KGF or aFGF to the KGFR.
Federated Region-Learning: An Edge Computing Based Framework for Urban Environment Sensing (2018)

Sparse sensory data caused by insufficient monitoring sites and their incomplete records becomes the main challenge of fine-grained environment sensing. In this paper, we develop a novel inference framework, named Federated Region- Learning (FRL), for urban environment sensing. The proposed framework inherits the basic idea of federated learning, and also considers the regional characteristics during the distribution of training samples so as to improve the inference accuracy. Moreover, we exploit an edge computing architecture to implement the FRL for improving the computational efficiency. We also apply FRL to PM2.5 monitoring in Beijing. The evaluation shows that our FRL improves computational efficiency nearly 3 times than centralized training mode and increases accuracy by more than 5% compared with normal distributed training.
The role of topical vitamin K oxide gel in the resolution of postprocedural purpura. (2009)

Vitamin K oxide gel appears to hasten the resolution of pulsed dye laser-induced purpura in subjects being treated for bilateral facial telangiectasia, and may well be useful in accelerating resolution of facial bruising from other cosmetic procedures such as fillers used for soft-tissue augmentation as well as other types of cutaneous surgical procedures.
The oxidative rearrangement of chalcones by thallic acetate: a chemical analogy for isoflavone biosynthesis (1968)

W. D. Ollis, K. L. Ormand and I. O. Sutherland, Chem. Commun. (London), 1968, 1237 DOI: 10.1039/C19680001237
Basal Plane Dislocation Mitigation in SiC Epitaxial Growth by Nondestructive Substrate Treatment (2012)

An optimized molten KOH–NaOH–MgO eutectic mixture is used to pretreat the 8° off-axis 4H-SiC substrate prior to chemical vapor deposition epitaxial growth. Superior to the conventional pure KOH etching method, by way of the eutectic method, the conversion of basal plane dislocation (BPD) to threading edge dislocation in the subsequent epitaxial growth is independent of the etch pit size pregenerated on the substrate. Even with a very mild treatment using the eutectic mixture, which does not generate discriminable etch pits on the substrate, an epilayer with low BPD density <22 cm–2 (<0.1% of BPDs on the substrate) is still achieved, and further, there is no degradation of morphology on the entire sample surface. All of the BPD conversions occur at the initial stage of epitaxial growth.
Developing a novel geophysical tool to investigate the influence of vegetation on slope stability (2023)

Vegetation is important for managing shallow geotechnical assets. However, root water uptake-driven changes in slope hydrology and the near-surface (soil water content, matric suction, and hydraulic conductivity) are highly complex. Improved knowledge of these processes is increasingly important as society faces the threat of a greater prevalence of climate-driven extreme rainfall and drought events. Intrinsic factors affect slope stability, including geometry, soil properties, groundwater, and vegetation-driven matric suction. Field evidence shows that engineered slopes are susceptible to hydrometeorological instability mechanisms and pose a potential failure hazard to asset operation and public safety. This study considers the combination of a novel geophysical monitoring system and geotechnical point sensors for use in controlled laboratory conditions to assess the influence of vegetation on soil-water dynamics in the context of geotechnical infrastructure. The geophysical monitoring system, referred to here as PRIME (Proactive Infrastructure Monitoring and Evaluation system), uses electrical resistivity tomography (ERT) technology to non-invasively image changing subsurface moisture-driven processes. The PRIME system and point sensor arrays are being developed for near real-time data acquisition of transient soil moisture conditions in a suite of soil column experiments. Through addressing the challenges associated with designing integrated geophysical-geotechnical laboratory-scale monitoring experiments, this research aims to provide new tools and approaches to further our understanding of vegetation-driven soil moisture movement to better assess slope instability risk.
WIP: Impact of AI/ML Model Adaptation on RAN Control Loop Response Time (2022)

The advent of Open Radio Access Network (O-RAN) technology enables intelligent edge solutions for base stations in beyond 5G (B5G) networks. O-RAN Working Group 2 (WG2) focuses on the architecture and specifications of AI/ML workflows, allowing AI/ML applications in O-RAN environments to meet different QoS requirements for different use cases over varying time periods. This study shows the technical challenges in mapping AI/ML functionalities at Near-Real Time (RT) RAN Intelligence Controller (RIC) and/or Non-RT RIC for closed loop control-based resource adaptation in O-RAN. We also present a drift-based solution to avoid performance violations if there is decay in prediction accuracy. Results show that drift-based solution outperforms offline models.
Topical Application of Mesenchymal Stem Cell Exosomes Alleviates the Imiquimod Induced Psoriasis-Like Inflammation (2021)

Severe psoriasis, a chronic inflammatory skin disease is increasingly being effectively managed by targeted immunotherapy but long-term immunotherapy poses health risk and loss of response. Therefore, there is a need for alternative therapy strategies. Mesenchymal stem/stromal cell (MSC) exosomes are widely known for their potent immunomodulatory properties. Here we investigated if topically applied MSC exosomes could alleviate psoriasis-associated inflammation. Topically applied fluorescent exosomes on human skin explants were confined primarily to the stratum corneum with <1% input fluorescence exiting the explant over a 24-h period. Nevertheless, topically applied MSC exosomes in a mouse model of imiquimod (IMQ) psoriasis significantly reduced IL-17 and terminal complement activation complex C5b-9 in the mouse skin. MSC exosomes were previously shown to inhibit complement activation, specifically C5b-9 complex formation through CD59. Infiltration of neutrophils into the stratum corneum is characteristic of psoriasis and neutrophils are a major cellular source of IL-17 in psoriasis through the release of neutrophil extracellular traps (NETs). We propose that topically applied MSC exosomes inhibit complement activation in the stratum corneum and this alleviates IL-17 release by NETS from neutrophils that accumulate in and beneath the stratum corneum.
3D Assessment in Posttraumatic Ankle Osteoarthritis (2020)

Level III, comparative study.
PREPARATION OF CENOSPHERE-DERIVED LUTETIUM/YTTRIUM-ALUMINOSILICATE MICROSPHERES AS PRECURSORS OF RADIATION SOURCES FOR BRACHYTHERAPY (2023)

Coal fly ash hollow aluminosilicate microspheres (cenospheres) of stabilized composition (glass phase &gt; 90 wt. %) were used to fabricate lutetium/yttrium-aluminosilicate microspheres as precursors of Lu-177 and Y-90 bearing β-irradiation sources applied for the selective radiation therapy of tumors. The zeolitized microspheres containing the zeolite phase NaP1 (GIS) were synthesized and their sorption properties with respect to Lu3+/Y3+ were studied. The fast heating–cooling cycle at 1200 oC in a moving bed resulted in amorphization of the zeolite component without the formation of the lutecium/yttrium crystal phase preserving the precursor spherical form.