gebhart/patrepeval huggingface dataset:
Heterogeneous behaviour of anti-beta2-glycoprotein I antibodies on different "high binding" microtiter plates (2001)

We discuss the presence of anti-keratin antibodies (AKA) of the IgG class in patients with defined juvenile idiopathic arthritis (JIA). An indirect immunofluorescence test and rat oesophagus substrate was used for the detection and quantification of AKA antibodies in patients sera. Overall 33/60 patients with JIA had sera positive for AKA (55 %, P = 0,0001) ranging from 1:10 to 1:160 dilutions. Following idiopathic arthritis of childhood classification criteria AKA occurred in 2/7 patients with systemic disease (28,6 %), in 13/30 patients with RF negative polyarthritis (43,3 %, P = 0,008) and in 15/18 RF positive polyarthritis (83,3 %, P = 0,000002). AKA were also found in a small cohort of patients with oligoarthritis (1/3) and psoriatic arthritis (2/2). AKA positivity occurred in 3/26 healthy controls at a 1:20 dilution. The presence of AKA was correlated as well as with the severity of the disease. Our study revealed that AKA was present overall in 18/29 patients (62%) with severe JIA and in 12/26 patients (46,2 %) with non-severe disease, however this did not reach statistical significance (P = 0,18). We also observed that AKA remained positive regardless of disease activity. AKA were detectable in 55,6 % patients with active JIA and in 48,6 % patients in the complete or near remission.
Double blind placebo controlled study on the effect of the nitric oxide donor molsidomin and the 5-HT3 antagonist ondansetron on human esophageal motility. (1994)

The aim of the present study was to investigate the effects of acute administration of the NO-donor molsidomin (2 mg) and the 5-HT3 antagonist ondansetron (8 mg) on esophageal motility and lower esophageal sphincter pressure (LESP) in 10 healthy volunteers by stationary side hole manometry in a double-blind placebo controlled study design. LESP, contraction amplitudes (5, 10, 15 cm above the LES) and propagation velocity (10-15 cm above the LES) for dry and wet swallows were analysed and additional blood samples were taken for determination of plasma levels of VIP and gastrin. Molsidomin significantly decreased basal LESP from 16.8 +/- 1.6 mmHg to 11.4 +/- 1.0 mmHg, while ondansetron had no influence. Molsidomin also reduced contraction amplitudes of dry swallows (saline 61.9 +/- 7.2 mmHg, molsidomin 40.1 +/- 8.1 mmHg), while it did not influence contraction amplitudes of wet swallows. Ondansetron had no effect on contraction amplitudes. Both substances did not influence propagation velocity of wet swallows, while they reduced propagation velocity of dry swallows significantly (saline 3.9 +/- 0.4 cmls, ondansetron 3.1 +/- 0.2 cm/s, molsidomin 3.1 +/- 0.2 cmls). There were no effects on plasma levels of gastrin or VIP. These data strongly suggest a possible therapeutic role of molsidomin in the treatment of esophageal motility disorders. Effects of ondansetron have to be further evaluated in patients with disturbed esophageal motility.
Faster SAT and smaller BDDs via common function structure (2002)

The increasing popularity of SAT and BDD techniques in verification and synthesis encourages the search for additional speed-ups. Since typical SAT and BDD algorithms are exponential in the worst-case, the structure of real-world instances is a natural source of improvements. While SAT and BDD techniques are often presented as mutually exclusive alternatives, our work points out that both can be improved via the use of the same structural properties of instances. Our proposed methods are based on efficient problem partitioning and can be easily applied as pre-processing with arbitrary SAT solvers and BDD packages without source code modifications. Our contribution is validated on the ISCAS circuits and the DIMACS benchmarks. Empirically, our technique often outperforms existing techniques by a factor of two or more. Our results motivate search for stronger dynamic ordering heuristics and combined static/dynamic techniques.
How Has Genomics Altered Our View of Caries Microbiology? (2008)

Genome sequencing and other molecular techniques for the identification and characterisation of bacteria have provided us with a vast amount of new information, both on the detailed properties of certain species and on the total plaque microflora. Thus, from genomics, we have gained many valuable insights into the biology of Streptococcus mutans and the diversity within the species, while molecular techniques of identification have prompted a heightened awareness of the importance of species other than S. mutans to the caries process. S. mutans remains deserving of detailed study, both as an exemplar of an acidogenic, aciduric plaque bacterium and because it shows a strong association with caries. Nevertheless, its value as a target for inhibitors and its usefulness as an indicator organism for monitoring the value of caries prediction or prevention need to be evaluated in the light of new discoveries.
Tropism Modification of Adenovirus Vectors by Peptide Ligand Insertion into Various Positions of the Adenovirus Serotype 41 Short-Fiber Knob Domain (2006)

Recombinant adenoviruses have emerged as promising agents in therapeutic gene transfer, genetic vaccination, and viral oncolysis. Therapeutic applications of adenoviruses, however, would benefit substantially from targeted virus cell entry, for example, into cancer or immune cells, as opposed to the broad tropism that adenoviruses naturally possess. Such tropism modification of adenoviruses requires the deletion of their natural cell binding properties and the incorporation of cell binding ligands. The short fibers of subgroup F adenoviruses have recently been suggested as a tool for genetic adenovirus detargeting based on the reduced infectivity of corresponding adenovectors with chimeric fibers in vitro and in vivo. The goal of our study was to determine functional insertion sites for peptide ligands in the adenovirus serotype 41 (Ad41) short fiber knob. With a model peptide, CDCRGDCFC, we could demonstrate that ligand incorporation into three of five analyzed loops of the knob, namely, EG, HI, and IJ, is feasible without a loss of fiber trimerization. The resulting adenovectors showed enhanced infectivity for various cell types, which was superior to that of viruses with the same peptide fused to the fiber C terminus. Strategies to further augment gene transfer efficacy by extension of the fiber shaft, insertion of tandem copies of the ligand peptide, or extension of the ligand-flanking linkers failed, indicating that precise ligand positioning is pivotal. Our study establishes that internal ligand incorporation into a short-shafted adenovirus fiber is feasible and suggests the Ad41 short fiber with ligand insertion into the top (IJ loop) or side (EG and HI loops) of the knob domain as a novel platform for genetic targeting of therapeutic adenoviruses.
Kilis ili aylık sıcaklık ve yağış verileri trend analizi (2018)

Hızla artan dünya nüfusu nedeniyle kişi başına düşen su miktarı azalmakta ve kirlilik oranı artmaktadır. Canlıların yaşam sıvısı olan su; hızlı nüfus artışı, bilinçsiz tüketim ve küresel ısınmanın da etkisiyle daha fazla kullanılmaktadır. Bu nedenle temiz su miktarı her geçen gün azalmaktadır. Meteorolojik parametreler su kaynaklarının sürdürülebilirliği açısından önemli etmenlerdir. Sıcaklık ve yağışlarda meydana gelen değişimler tarımsal faaliyetlerin devamlılığı ve içme-kullanma suyu ihtiyacının karşılanabilmesi açısından büyük önem arz etmektedir. Bu çalışmada Kilis il merkezinde bulunan 17262 numaralı meteoroloji istasyonu verileri kullanılmıştır. Veriler 1975-2016 yılları arası, yaklaşık olarak 41 yıllık bir periyodu kapsamaktadır. Aylık maksimum ve aylık ortalama sıcaklık verileri ile aylık toplam yağış verileri Mann-Kendall eğilim analizi testi kullanılarak incelenmişlerdir. Gidiş analizleri 0.05 ve 0.15 anlamlılık seviyelerine göre değerlendirilmiştir. Aylık maksimum sıcaklık verilerinde 0.05 anlamlılık seviyesinde Haziran ayında bir artış gözlenmiştir. Ortalama aylık sıcaklıklarda ise Nisan ayından Ağustos ayına kadar, Mayıs ayı hariç, artan bir eğilim olduğu görülmüştür. Aylık toplam yağış verileri için 0.05 anlamlılık seviyesine göre gidiş olmadığı tespit edilmiştir.
Multi-Level Weighted Additive Spanners (2021)

Given a graph G = (V,E), a subgraph H is an additive +β spanner if dist_H(u,v) ≤ dist_G(u,v) + β for all u, v ∈ V. A pairwise spanner is a spanner for which the above inequality is only required to hold for specific pairs P ⊆ V × V given on input; when the pairs have the structure P = S × S for some S ⊆ V, it is called a subsetwise spanner. Additive spanners in unweighted graphs have been studied extensively in the literature, but have only recently been generalized to weighted graphs. In this paper, we consider a multi-level version of the subsetwise additive spanner in weighted graphs motivated by multi-level network design and visualization, where the vertices in S possess varying level, priority, or quality of service (QoS) requirements. The goal is to compute a nested sequence of spanners with the minimum total number of edges. We first generalize the +2 subsetwise spanner of [Pettie 2008, Cygan et al., 2013] to the weighted setting. We experimentally measure the performance of this and several existing algorithms by [Ahmed et al., 2020] for weighted additive spanners, both in terms of runtime and sparsity of the output spanner, when applied as a subroutine to multi-level problem. We provide an experimental evaluation on graphs using several different random graph generators and show that these spanner algorithms typically achieve much better guarantees in terms of sparsity and additive error compared with the theoretical maximum. By analyzing our experimental results, we additionally developed a new technique of changing a certain initialization parameter which provides better spanners in practice at the expense of a small increase in running time.
A Vehicle Steering Algorithm Based On Bearing Measurements (2005)

This paper presents an algorithm for camera-based navigation of a conventionally steered vehicle to a visible marker. The algorithm whose primary measurement is the marker bearing, is robust to range errors, to awkward initial conditions, and to small temporal effects.
A tutorial on -channelling (1999)

One of the more ambitious uses of intense microwaves in tokamaks or in other magnetic confinement deuterium-tritium (DT) fusion devices would be to divert power from energetic -particles to waves. This so-called `-channelling' would be a large step towards achieving economical fusion power. The intense waves, amplified by the substantial free energy in the -particles, damp on fuel ions, resulting in a hot ion mode, doubling the fusion power of the reactor at the same confined pressure. If the waves damp preferentially on electrons or ions travelling in one direction, current can be driven. This tutorial explains the key concepts and recent advances that lead us to believe in the plausibility of such an effect, at the same time showing how experiments to date give us a measure of confidence in both the simulations themselves, the underlying physical assumptions and ultimately the reasonableness of the application of these ideas to -channelling in a tokamak reactor.
Mesenchymal Stem Cells: Potential in Treatment of Neurodegenerative Diseases (2014)

Mesenchymal Stem Cells or Marrow Stromal Cells (MSCs) have long been viewed as a potent tool for regenerative cell therapy. MSCs are easily accessible from both healthy donor and patient tissue and expandable in vitro on a therapeutic scale without posing significant ethical or procedural problems. MSC based therapies have proven to be effective in preclinical studies for graft versus host disease, stroke, myocardial infarction, pulmonary fibrosis, autoimmune disorders and many other conditions and are currently undergoing clinical trials at a number of centers all over the world. MSCs are also being extensively researched as a therapeutic tool against neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), Amyotrophic Lateral Sclerosis (ALS), Huntington's disease (HD) and Multiple Sclerosis (MS). MSCs have been discussed with regard to two aspects in the context of neurodegenerative diseases: their ability to transdifferentiate into neural cells under specific conditions and their neuroprotective and immunomodulatory effects. When transplanted into the brain, MSCs produce neurotrophic and growth factors that protect and induce regeneration of damaged tissue. Additionally, MSCs have also been explored as gene delivery vehicles, for example being genetically engineered to over express glial-derived or brain-derived neurotrophic factor in the brain. Clinical trials involving MSCs are currently underway for MS, ALS, traumatic brain injuries, spinal cord injuries and stroke. In the present review, we explore the potential that MSCs hold with regard to the aforementioned neurodegenerative diseases and the current scenario with reference to the same.
Crescita ineguale e cambiamento strutturale indotto dal commercio (1995)

Uneven growth and trade-induced structuralchange
Homeostasis model assessment of insulin resistance for evaluating insulin sensitivity in patients with type 2 diabetes on insulin therapy (2012)

Homeostasis model assessment of insulin resistance (HOMA-IR) is a simple and useful method for evaluating insulin sensitivity. But it is difficult to apply to type2 diabetes patients treated with insulin. We have devised a method for measuring HOMA-IR and investigated the validity of HOMA-IR for evaluating insulin sensitivity in patients with type 2 diabetes on insulin therapy. In the first arm of the study, 19 poorly controlled diabetic subjects were treated with insulin and underwent euglycemic clamp study. Then the relationship between insulin resistance index assessed by the clamp test (clamp-IR) and HOMA-IR was investigated in these subjects. Log transformed HOMA-IR correlated with log transformed M/I values derived from the standard euglycemic clamp (r=-0.753, p=0.002). In the second arm of the study, we investigated the relationship between HOMA-IR and various clinical parameters in 156 patients with poorly controlled diabetes after glycemic control. Log transformed HOMA-IR correlated negatively with age (r=-0.292, p=0.0002), HDL-C (r=-0.342, p<0.0001), log transformed serum adiponectin (r=-0.309, p=0.0006) and log transformed KITT (r=-0.264, p=0.0009), and positively with body mass index (r=0.499, p<0.0001), waist circumstance (r=0.461, p<0.0001), visceral fat area (r=0.401, p<0.0001), diastolic blood pressure (r=0.223, p=0.0054), log transformed triglyceride (r=0.497, p<0.0001), urinary CPR (r=0.216, p=0.0099), ΔCPR of glucagon stimulation test (r=0.496, p<0.0001) and log transformed insulinogenic index (r=0.325, p=0.0002). These results suggest that HOMA-IR is a useful test for the evaluation of insulin sensitivity even in patients with type 2 diabetes treated with insulin.
Large Scale Graph-based SLAM Using Aerial Images as Prior Information (2010)

The problem of learning a map with a mobile robot has been intensively studied in the past and is usually referred to as the simultaneous localization and mapping (SLAM) problem.However, most existing solutions to the SLAM problem learn the maps from scratch and have no means for incorporating prior information.In this paper, we present a novel SLAM approach that achieves global consistency by utilizing publicly accessible aerial photographs as prior information.It inserts correspondences found between stereo and three-dimensional range data and the aerial images as constraints into a graph-based formulation of the SLAM problem.We evaluate our algorithm based on large real-world datasets acquired even in mixed in-and outdoor environments by comparing the global accuracy with stateof-the-art SLAM approaches and GPS.The experimental results demonstrate that the maps acquired with our method show increased global consistency.
Evaluating top-k queries over Web-accessible databases (2003)

A query to a Web search engine usually consists of a list of keywords, to which the search engine responds with the best or "top" k pages for the query. This top-k query model is prevalent over multimedia collections in general, but also over plain relational data for certain applications. For example, consider a relation with information on available restaurants, including their location, price range for one diner, and overall food rating. A user who queries such a relation might simply specify the user's location and target price range, and expect in return the best 10 restaurants in terms of some combination-of proximity to the user, closeness of match to the target price range, and overall food rating. Processing such top-k queries efficiently is challenging for a number of reasons. One critical such reason is that, in many Web applications, the relation attributes might not be available other than through external Web-accessible form interfaces, which we will have to query repeatedly for a potentially large set of candidate objects. In this paper, we study how to process top-k queries efficiently in this setting, where the attributes for which users specify target values might be handled by external, autonomous sources with a variety of access interfaces. We present several algorithms for processing such queries, and evaluate them thoroughly using both synthetic and real Web-accessible data.
Atomic Layer Epitaxy of ZnS on GaAs Substrates by Metalorganic Molecular Beam Epitaxy (1990)

ZnS was grown on GaAs (001) substrates by a metalorganic molecular beam epitaxy (MOMBE) technique, using sequential dimethylzinc (DMZ) and hydrogen sulfide (H 2 S) reactant gas exposures, where these gases were supplied to the substrates after cracking at 950 and 1080°C, respectively. The results show that at a given temperature between 250 and 310°C, the growth rate was observed to be determined by the number of growth cycles, which is typical of atomic layer epitaxy (ALE). In spite of very large lattice mismatch (4.4%) between ZnS and GaAs, ZnS layers grown in an ALE mode showed good surface morphology and exhibited strong near-band-edge photoluminescence.
System-level dynamic power management (1999)

We introduce the design methodology known as dynamic power management (DPM), targeting the maximization of power efficiency under performance constraints for electronic systems. We first describe the basic motivations for implementing DPM, then we survey several power management schemes. Finally, we provide guidelines to assessing the potential impact of a DPM scheme for a given target system.
Investigations of the influence of common approximations in scatterometry for dimensional nanometrology (2014)

Scatterometry is a common tool for the dimensional characterization of periodic nanostructures. It is an indirect measurement method, where the dimensions and geometry of the structures under test are reconstructed from the measured scatterograms applying inverse rigorous calculations. This approach is numerically very elaborate so that usually a number of approximations are used. The influence of each approximation has to be analysed to quantify its contribution to the uncertainty budget. This is a fundamental step to achieve traceability. In this paper, we experimentally investigate two common approximations: the effect of a finite illumination spot size and the application of a more advanced structure model for the reconstruction. We show that the illumination spot size affects the sensitivity to sample inhomogeneities but has no influence on the reconstruction parameters, whereas additional corner rounding of the trapezoidal grating profile significantly improves the reconstruction result.
Thermodynamic properties of water in perfluorinated membranes of Nafion and Aquivion types, prepared by emulsion polymerization (2014)

The thermodynamic state of water in hydrated perfluorinated membanes of Nafion® and Aquivion® types, prepared by aqueous emulsion copolymerization, was studied by DSC in the temperature interval from −80 to 250°C. The amounts of structured and nonstructured water in the membranes with different densities of the distribution of sulfonic acid groups were determined. The correlation of the proton conductivity of the membranes with the content of structured and nonstructured water was revealed.
Aging-Induced Proteostatic Changes in the Rat Hippocampus Identify ARP3, NEB2 and BRAG2 as a Molecular Circuitry for Cognitive Impairment (2013)

Disturbed proteostasis as a particular phenotype of the aging organism has been advanced in C. elegans experiments and is also conceived to underlie neurodegenerative diseases in humans. Here, we investigated whether particular changes in non-disease related proteostasis can be identified in the aged mammalian brain, and whether a particular signature of aberrant proteostasis is related to behavioral performance of learning and memory. Young (adult, n = 30) and aged (2 years, n = 50) Wistar rats were tested in the Morris Water Maze (MWM) to distinguish superior and inferior performers. For both young and old rats, the best and worst performers in the MWM were selected and the insoluble proteome, termed aggregome, was purified from the hippocampus as evidence for aberrant proteostasis. Quantitative proteomics (iTRAQ) was performed. The aged inferior performers were considered as a model for spontaneous, age-associated cognitive impairment. Whereas variability of the insoluble proteome increased with age, absolute changes in the levels of insoluble proteins were small compared to the findings in the whole C. elegans insoluble proteome. However, we identified proteins with aberrant proteostasis in aging. For the cognitively impaired rats, we identified a changed molecular circuitry of proteins selectively involved in F-actin remodeling, synapse building and long-term depression: actin related protein 3 (ARP3), neurabin II (NEB2) and IQ motif and SEC7 domain-containing protein 1 (BRAG2). We demonstrate that aberrant proteostasis is a specific phenotype of brain aging in mammals. We identify a distinct molecular circuitry where changes in proteostasis are characteristic for poor learning and memory performance in the wild type, aged rat. Our findings 1. establish the search for aberrant proteostasis as a successful strategy to identify neuronal dysfunction in deficient cognitive behavior, 2. reveal a previously unknown functional network of proteins (ARP3, NEB2, BRAG2) involved in age-associated cognitive dysfunction.