gebhart/patrepeval huggingface dataset:
Dopamine: Receptors, Functions, Synthesis, Pathways, Locations and Mental Disorders: Review of Literatures (2016)

Dopamine is monoamine neurotransmitter. Dopamine is produced in the dopaminergic neurons in the ventral tegmental area of the substantia nigra, midbrain and the arcuate nucleus of the hypothalamus. In the periphery, dopamine is found in the kidney where it functions to produce renal vasodilation, diuresis, and natriuresis. Dopamine neurons are more widely distributed than those of other monamines and it is found in hypothalamus, olfactory bulb, the midbrain substantia nigra and ventral tegmental area and in the periaqueductal gray and retina. There are five subtypes of dopamine receptors, D1, D2, D3, D4, and D5, which are members of the large G-protein coupled receptor super family. The dopamine receptor subtypes are divided into two major subclasses: types 1 and 5 are similar in structure and drug sensitivity, and these two receptors are referred to as the D1like group or class of receptors. Dopamine receptor types 2, 3, and 4 are called the D2like group. Dopamine plays central role in pleasurable reward behavior, inhibition of prolactin production (involved in lactation), sleep, mood, attention, learning, behavior, control of nausea and vomiting and pain processing. In addition it also involved in controlling movement, emotion and cognition. Due to extensive localization of dopamine receptor to brain areas and its role in wide range of functions, dopaminergic dysfunction has been implicated in the pathophysiology of schizophrenia, mood disorders, obsessive compulsive disorder (OCD), autism spectrum disorders, attention deficit–hyperactivity disorder (ADHD), tourette's syndrome, substance dependency, Parkinson's disease and other disorders.
Consumer Versus Resource Control in Freshwater Pelagic Food Webs (1997)

Models predict that food-web structure is regulated by both consumers and resources, and the strength of this control is dependent on trophic position and food-web length. To test these hypotheses, a meta-analysis was conducted of 11 fish (consumer)-by-nutrient (resource) factorial plankton community experiments. As predicted, zooplankton biomass was under strong consumer control but was weakly stimulated by nutrient additions; phytoplankton biomass was under strong resource control with moderate control by fish. However, the phytoplankton and zooplankton responses to nutrient additions did not follow theoretical predictions based on the number of trophic levels in the food web.
Chemistry of Covalent Organic Frameworks (2015)

Linking organic molecules by covalent bonds into extended solids typically generates amorphous, disordered materials. The ability to develop strategies for obtaining crystals of such solids is of interest because it opens the way for precise control of the geometry and functionality of the extended structure, and the stereochemical orientation of its constituents. Covalent organic frameworks (COFs) are a new class of porous covalent organic structures whose backbone is composed entirely of light elements (B, C, N, O, Si) that represent a successful demonstration of how crystalline materials of covalent solids can be achieved. COFs are made by combination of organic building units covalently linked into extended structures to make crystalline materials. The attainment of crystals is done by several techniques in which a balance is struck between the thermodynamic reversibility of the linking reactions and their kinetics. This success has led to the expansion of COF materials to include organic units linked by these strong covalent bonds: B-O, C-N, B-N, and B-O-Si. Since the organic constituents of COFs, when linked, do not undergo significant change in their overall geometry, it has been possible to predict the structures of the resulting COFs, and this advantage has facilitated their characterization using powder X-ray diffraction (PXRD) techniques. It has also allowed for the synthesis of COF structures by design and for their formation with the desired composition, pore size, and aperture. In practice, the modeled PXRD pattern for a given expected COF is compared with the experimental one, and depending on the quality of the match, this is used as a starting point for solving and then refining the crystal structure of the target COF. These characteristics make COFs an attractive class of new porous materials. Accordingly, they have been used as gas storage materials for energy applications, solid supports for catalysis, and optoelectronic devices. A large and growing library of linkers amenable to the synthesis of COFs is now available, and new COFs and topologies made by reticular synthesis are being reported. Much research is also directed toward the development of new methods of linking organic building units to generate other crystalline COFs. These efforts promise not only new COF chemistry and materials, but also the chance to extend the precision of molecular covalent chemistry to extended solids.
Experimental Study of LY333328 (Oritavancin), Alone and in Combination, in Therapy of Cephalosporin-Resistant Pneumococcal Meningitis (2003)

Using a rabbit model of meningitis, we sought to determine the efficacy of LY333328, a semisynthetic glycopeptide, in the treatment of cephalosporin-resistant pneumococcal meningitis. LY333328 was administered at a dose of 10 mg/kg of body weight/day, alone and in combination with ceftriaxone at 100 mg/kg/day with or without dexamethasone at 0.25 mg/kg/day. The therapeutic groups were treated with LY333328 with or without dexamethasone and LY333328-ceftriaxone with or without dexamethasone. Rabbits were inoculated with a cephalosporin-resistant pneumococcal strain (ceftriaxone MIC, 2 microg/ml; penicillin MIC, 4 microg/ml; LY333328 MIC, 0.008 microg/ml) and were treated over a 26-h period beginning 18 h after inoculation. The bacterial counts in cerebrospinal fluid (CSF), the white blood cell count, the lactic acid concentration, the CSF LY333328 concentration, and bactericidal and bacteriostatic activities were determined at different time points. In vitro, LY333328 was highly bactericidal and its use in combination with ceftriaxone at one-half the MIC was synergistic. In the rabbit model, LY333328 alone was an excellent treatment for cephalosporin-resistant pneumococcal meningitis, with a rapid decrease in colony counts and no therapeutic failures. The use of LY333328 in combination with ceftriaxone improved the activity of LY333328, but no synergistic effect was observed. The combination of LY333328 with dexamethasone was also rapidly bactericidal, but two therapeutic failures were observed. The combination of LY333328 with ceftriaxone and dexamethasone was effective, without therapeutic failures.
Dependent Hierarchical Beta Process for Image Interpolation and Denoising (2011)

A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features, with covariate-dependent feature usage. The dHBP is applicable to general covariates and data models, imposing that signals with similar covariates are likely to be manifested in terms of similar features. Coupling the dHBP with the Bernoulli pro-cess, and upon marginalizing out the dHBP, the model may be interpreted as a covariate-dependent hierarchical Indian buffet process. As applications, we consider interpolation and denoising of an image, with covariates defined by the location of image patches within an image. Two types of noise mod-els are considered: (i) typical white Gaus-sian noise; and (ii) spiky noise of arbitrary amplitude, distributed uniformly at random. In these examples, the features correspond to the atoms of a dictionary, learned based upon the data under test (without a priori training data). State-of-the-art performance is demonstrated, with efficient inference us-ing hybrid Gibbs, Metropolis-Hastings and slice sampling.
Effects of colonial morphology and tween 80 on antimicrobial susceptibility of Mycobacterium paratuberculosis (1990)

Smooth (Sm) and rough (Rg) colonial types of Mycobacterium paratuberculosis ATCC 19698 and two clinical isolates were tested to examine their growth responses in medium containing antimicrobial agents. Susceptibility tests were done in Middlebrook 7H12B medium with and without Tween 80 and one of the following antimicrobial agents: streptomycin, isoniazid, rifampin, ethambutol, ciprofloxacin, and penicillin G. Growth responses in the presence of antimicrobial agents led to the following observations. (i) In the absence of Tween, Rg colony types were more resistant than Sm colony types; (ii) the addition of Tween 80 significantly increased the susceptibility of both Sm and Rg colony types; however, the increase was greater with the Sm colony types. These studies showed that the antimicrobial susceptibility of M. paratuberculosis was significantly affected when Tween 80 was present in either the primary culture medium or the drug susceptibility test medium. In the absence of the perturbing influence of Tween 80, M. paratuberculosis was resistant to the antimicrobial agents tested.
Sigma* (2013)

We present Sigma*, a novel technique for learning symbolic models of software behavior. Sigma* addresses the challenge of synthesizing models of software by using symbolic conjectures and abstraction. By combining dynamic symbolic execution to discover symbolic input-output steps of the programs and counterexample guided abstraction refinement to over-approximate program behavior, Sigma* transforms arbitrary source representation of programs into faithful input-output models. We define a class of stream filters---programs that process streams of data items---for which Sigma* converges to a complete model if abstraction refinement eventually builds up a sufficiently strong abstraction. In other words, Sigma* is complete relative to abstraction. To represent inferred symbolic models, we use a variant of symbolic transducers that can be effectively composed and equivalence checked. Thus, Sigma* enables fully automatic analysis of behavioral properties such as commutativity, reversibility and idempotence, which is useful for web sanitizer verification and stream programs compiler optimizations, as we show experimentally. We also show how models inferred by Sigma* can boost performance of stream programs by parallelized code generation.
Topical Human Growth Hormone Treatment of Chronic Leg Ulcers (1991)

In a double-blind placebo-controlled trial, 37 patients with chronic leg ulceration were randomized to receive either topical human growth hormone, 1 IU cm −2 ulcer area, 5 d per week, or placebo, in addition to a standard treatment (compression, hydrocolloid dressing). The two groups were broadly similar in age, sex, initial ulcer area and underlying aetiological variables. During the study 18 patients were withdrawn (six in the growth hormone group and 12 in the placebo group; NS). Eight of them did not complete the 2 weeks of treatment necessary to establish a healing rate and were consequently not included in the analyses of healing. During a mean treatment period of 8 weeks, the healing rate was 16% per week (95% confidence interval 8.7 to 23% per week) in the growth hormone group and 3% per week (−3.4 to 8.4% per week) in the placebo group, ( P = 0.02). In 11 patients (61%) in the growth hormone group and two patients (18%) in the placebo group, the ulcer area decreased by 50% during the study ( P = 0.03). The treatment was neither accompanied by side-effects nor signs or symptoms indicating a significant absorption of growth hormone. Further studies are needed to address the dose-response relationship and optimal administration frequency of topical growth hormone in the treatment of chronic leg ulcers.
Typing, Copy, and Search (2011)

One of the great things about owning a tablet is that you're not constrained to typing on a tiny thumb keyboard, as is the case when you are on a phone. As it turns out, you're not even constrained to typing at all. In this chapter, you'll explore how to handle text by typing. You'll also look at the copy and paste and auto-correction features, as well as explore some alternate methods of entry, including voice dictation and the Swype app.
Interaction between NO x and the surface of supported heteropoly compounds: In situ IR spectroscopic data (2011)

The mechanism of activation of nitrogen oxides on unsupported heteropoly compounds and the composition, location, stability, and interconversion mechanisms of adsorption complexes on supported heteropoly compounds have been investigated by in situ IR spectroscopy under thermal desorption conditions. Supporting a small amount of a heteropoly compounds (1% or below) increases NO x adsorption relative to the adsorption observed for the pure support. This effect is most pronounced for CeO2 and least pronounced for ZrO2. The increase in NO x adsorption is due to NO oxidation to NO2 on the supported heteropoly compound. The main adsorption species are nitrite and nitrate complexes, which are located on the support. As the temperature is raised, the nitrite complexes turn into the nitrate complexes. The presence of variable-valence ions in the Keggin anion reduces the nitrate complex-surface binding strength. The ions that are not components of the Keggin anion increase the binding strength. The changes in the nitrate complex-support surface binding strength are due to the support modification taking place via the destruction of part of the supported heteropoly compound.
Clinical efficacy of hydroxychloroquine in patients with covid-19 pneumonia who require oxygen: observational comparative study using routine care data (2020)

Hydroxychloroquine has received worldwide attention as a potential treatment for covid-19 because of positive results from small studies. However, the results of this study do not support its use in patients admitted to hospital with covid-19 who require oxygen.
10.1016/s1069-5648(11)60005-1 (2000)

Changes include new codes for pediatric vaccine administration and subsequent hospital observation care.
Pan-cancer patterns of DNA methylation (2014)

The comparison of DNA methylation patterns across cancer types (pan-cancer methylome analyses) has revealed distinct subgroups of tumors that share similar methylation patterns. Integration of these data with the wealth of information derived from cancer genome profiling studies performed by large international consortia has provided novel insights into the cellular aberrations that contribute to cancer development. There is evidence that genetic mutations in epigenetic regulators (such as DNMT3, IDH1/2 or H3.3) mediate or contribute to these patterns, although a unifying molecular mechanism underlying the global alterations of DNA methylation has largely been elusive. Knowledge gained from pan-cancer methylome analyses will aid the development of diagnostic and prognostic biomarkers, improve patient stratification and the discovery of novel druggable targets for therapy, and will generate hypotheses for innovative clinical trial designs based on methylation subgroups rather than on cancer subtypes. In this review, we discuss recent advances in the global profiling of tumor genomes for aberrant DNA methylation and the integration of these data with cancer genome profiling data, highlight potential mechanisms leading to different methylation subgroups, and show how this information can be used in basic research and for translational applications. A remaining challenge is to experimentally prove the functional link between observed pan-cancer methylation patterns, the associated genetic aberrations, and their relevance for the development of cancer.
Accurate Predetermination of the Process Parameters for Glass/Glass Laser Bonding Based on the Temperature Distribution Analysis (2016)

Temperature distribution is the key factor affecting the bonding quality in the glass/glass laser bonding process. In this work, the finite element method was used to establish three-dimensional (3D) numerical analysis model of the temperature field during bonding. Based on the result of the finite element analysis, the crucial parameters and their influences on the temperature distribution were discussed. In order to predetermine the necessary process parameter values for bonding, a nonlinear multiparameter fitting formula was established to predict the maximum temperature. The fitting model was validated experimentally by recording the maximum temperature during laser bonding via an infrared thermal imager.
Differential growth on sutures of tendon cells derived from torn human rotator cuff (2011)

Rotator cuff tendon pathology is proposed to account for 30-70% of all shoulder pain and surgical repair with a nonabsorbable suture is the common option for painful rotator cuff tears that have failed conservative treatment. A number of studies have suggested the beneficial effect of augmenting the repair with implants constructed from polymers used for sutures. Thus, it was of interest to investigate the affinity of tendon-derived fibroblasts, often thought to be the repairing agents of torn tendons, to commonly used sutures. The aim of this comparative study was to evaluate the suitability of these sutures for the construction of a patch by measuring cell survival, proliferation, and migration of human tendon-derived fibroblasts on different sutures. To ensure relevance to the target tissue, cells used in this study were obtained from torn human supraspinatus tendons. An initial comparison of cell proliferation on suture mats showed an overall positive proliferation on polyester (Ethibond) and polydioxanone (PDSII) mats and a reduction of proliferation on vicryl (polyglactin 910) compared to day one. The results also showed that the degradation products of vicryl had a negative effect on cell growth over 10 weeks. Of the commercial sutures selected and tested, Ethibond showed the best performance in terms of cell attachment and increase in biomass. The degradable PDSII also showed good interaction with cells in vitro, but relatively poor cell adhesion. This study provides useful and clinically relevant information, which could help to guide future considerations for candidate materials from which to construct tissue repair patches.
Serum squamous cell carcinoma antigen in gynecologic malignancies with special reference to cervical cancer. (1989)

Squamous cell carcinoma (SCC) antigen was measured by double-antibody radioimmunoassay in the sera of 113 patients with gynecologic malignancies and 30 controls. The mean serum SCC antigen level was 9.24 ng/ml in those with cervical squamous cell carcinoma, 2.15 ng/ml in those with other gynecologic malignancies, and 1.25 ng/ml in controls. With a cutoff value of 2.23 ng/ml (2 SD above the mean of the control group), the rate of SCC antigen elevation was 54% in cervical cancer (78), 14% in vulvar or vaginal cancer (7), 22% in ovarian cancer (18), and 10% in endometrial cancer (10). In cervical squamous cell carcinoma, the rates of elevated SCC antigen level increased with disease advancement in stages 0, I, II, III, and IV, by 13, 50, 53, 78, and 100%, respectively. In early-stage cervical squamous cell carcinoma, SCC antigen was not sensitive enough for screening. However, if elevated, serum SCC antigen levels decreased rapidly after successful surgical treatment. One case with a serum SCC antigen level above 65 multiples of the cutoff value had widespread cancer and postoperative recurrence. In the advanced case, the sensitivity was much higher. In the recurrent case, the positive rate was 73%. Serum SCC antigen level is useful in predicting the prognosis and monitoring the course of cervical squamous cell carcinoma, especially in the detection of a recurrence.
Global Challenge of Multidrug-Resistant<i>Acinetobacter baumannii</i> (2007)

We may soon be facing the end of the “antibiotic era.” The initial and seemingly unstoppable success of antibiotics, the fruit of human ingenuity, has been countered by an escalation of resistance mechanisms in bacteria. This crisis has been described as an “unwinnable war” (www.wellcome.org). The statistics compiled as a result of surveillance efforts illustrate the emergence of many genera of bacteria that are resistant to all antibiotics (57, 60). The genus Acinetobacter epitomizes this trend and deserves close attention. Acinetobacter spp. display mechanisms of resistance to all existing antibiotic classes as well as a prodigious capacity to acquire new determinants of resistance (7). The increasing recovery in the clinic of multidrug-resistant (MDR) Acinetobacter baumannii is a frightening reality (112). This review summarizes the worldwide emergence of antibiotic-resistant A. baumannii as a nosocomial pathogen and focuses on its mechanisms of resistance against selected antibiotics. It concludes with a summary of current strategies in the treatment of MDR A. baumannii and offers perspectives on the control of this global public health threat.
Networks-on-chip and Networks-in-Package for High-Performance SoC Platforms (2005)

A structured packet-switched networks-on-chip (NoC) is designed and implemented for high-performance heterogeneous SoC design platform. The chip integrates multiprocessors, multiple memories, and other heterogeneous intellectual properties and interconnection with 51mW and 1.6GHz on-chip networks. The NoC adopts a partial activated crossbar, low-energy coding, and low-swing signaling for the power consumption optimization. A network-in-package integrating four NoCs is fabricated in a 676-BGA-type package for larger and scalable systems and demonstrates 2D-image-processing and 3D-graphics applications
European drag-reduction research — recent developments and current status (2000)

The recent developments and current status of the drag-reduction research in Europe are described here with an overview of European Research Community on Flow, Turbulence and Combustion (ERCOFTAC) where a large amount of research work has been coordinated in the last 10 yr. This is followed by the discussions of some of the recent results on riblets, compliant coating, drag reduction in nature, polymer additives and wall oscillation with an emphasis on the drag-reduction mechanisms involved.
Deepfake Video Detection Using Recurrent Neural Networks (2018)

In recent months a machine learning based free software tool has made it easy to create believable face swaps in videos that leaves few traces of manipulation, in what are known as "deepfake" videos. Scenarios where these realistic fake videos are used to create political distress, blackmail someone or fake terrorism events are easily envisioned. This paper proposes a temporal-aware pipeline to automatically detect deepfake videos. Our system uses a convolutional neural network (CNN) to extract frame-level features. These features are then used to train a recurrent neural network (RNN) that learns to classify if a video has been subject to manipulation or not. We evaluate our method against a large set of deepfake videos collected from multiple video websites. We show how our system can achieve competitive results in this task while using a simple architecture.