gebhart/patrepeval huggingface dataset:
Role of GSH in Estrone Sulfate Binding and Translocation by the Multidrug Resistance Protein 1 (MRP1/ABCC1) (2006)

Multidrug resistance protein 1 (MRP1/ABCC1) is an ATP-dependent efflux pump that can confer resistance to multiple anticancer drugs and transport conjugated organic anions. Unusually, transport of several MRP1 substrates requires glutathione (GSH). For example, estrone sulfate transport by MRP1 is stimulated by GSH, vincristine is co-transported with GSH, or GSH can be transported alone. In the present study, radioligand binding assays were developed to investigate the mechanistic details of GSH-stimulated transport of estrone sulfate by MRP1. We have established that estrone sulfate binding to MRP1 requires GSH, or its non-reducing analogue S-methyl GSH (S-mGSH), and further that the affinity (Kd) of MRP1 for estrone sulfate is 2.5-fold higher in the presence of S-mGSH than GSH itself. Association kinetics show that GSH binds to MRP1 first, and we propose that GSH binding induces a conformational change, which makes the estrone sulfate binding site accessible. Binding of non-hydrolyzable ATP analogues to MRP1 decreases the affinity for estrone sulfate. However, GSH (or S-mGSH) is still required for estrone sulfate binding, and the affinity for GSH is unchanged. Estrone sulfate affinity remains low following hydrolysis of ATP. The affinity for GSH also appears to decrease in the post-hydrolytic state. Our results indicate ATP binding is sufficient for reconfiguration of the estrone sulfate binding site to lower affinity and argue for the presence of a modulatory GSH binding site not associated with transport of this tripeptide. A model for the mechanism of GSH-stimulated estrone sulfate transport is proposed.
<title>Laser Pattern Generator For Printed Circuit Board Artwork Generation</title> (1980)

Current technology has established laser scanning systems capable of writing high resolution, large-format images. Recent developments have extended this capability to computer-synthesized images. A system known as a Laser Pattern Generator (LPG) has been manufactured using this technology to precisely image printed circuit board (PCB) masters. Exposure time for an image area of eighteen by twenty-four inches is reduced to two minutes from about five hours for the present vectorized plotter method.
Liquid‐Crystal‐Elastomer‐Based Dissipative Structures by Digital Light Processing 3D Printing (2020)

Digital Light Processing (DLP) 3D printing enables the creation of hierarchical complex structures with specific micro- and macroscopic architectures that are impossible to achieve through traditional manufacturing methods. Here, this hierarchy is extended to the mesoscopic length scale for optimized devices that dissipate mechanical energy. A photocurable, thus DLP-printable main-chain liquid crystal elastomer (LCE) resin is reported and used to print a variety of complex, high-resolution energy-dissipative devices. Using compressive mechanical testing, the stress-strain responses of 3D-printed LCE lattice structures are shown to have 12 times greater rate-dependence and up to 27 times greater strain-energy dissipation compared to those printed from a commercially available photocurable elastomer resin. The reported behaviors of these structures provide further insight into the much-overlooked energy-dissipation properties of LCEs and can inspire the development of high-energy-absorbing device applications.
The Effect of Cytokinins on Vitrification in Melon and Carnation (1988)

The influence of exogenous cytokinin on vitrification of melon and carnation buds grown in vitro was assessed. In melon, the anatomical traits of vitrification were found to be similar to those previously described for carnation grown on a high concentration of auxin. In carnation, the plantlets treated with high cytokinin concentrations became bushy but the anatomical structure remained normal. The relation of cytokinin and vitrification is discussed.
The Use of Low Level Laser Therapy (LLLT) For Musculoskeletal Pain (2015)

Pain is the most common reason for physician consultation in the United States. One out of three Americans is affected by chronic pain annually. The number one reason for missed work or school days is musculoskeletal pain. Currently accepted therapies consist of non-steroidal anti-inflammatory drugs, steroid injections, opiate pain medications and surgery, each of which carries their own specific risk profiles. What is needed are effective treatments for pain which have an acceptably low risk-profile. For over forty years, low level laser (light) therapy (LLLT) and LED (light emitting diode) therapy (also known as photobiomodulation) has been shown to reduce inflammation and edema, induce analgesia, and promote healing in a range of musculoskeletal pathologies. The purpose of this paper is to review the use of LLLT for pain, the biochemical mechanisms of action, the dose response curves, and how LLLT may be employed by orthopedic surgeons to improve outcomes and reduce adverse events. With the predicted epidemic of chronic pain in developed countries, it is imperative to validate cost-effective and safe techniques for managing painful conditions which would allow people to live active and productive lives. Moreover the acceptance of LLLT (which is currently being used by many specialties around the world) into the armamentarium of the American health care provider would allow for additional treatment options for patients. A new cost-effective therapy for pain could elevate quality of life while reducing financial strains.
Activities of Aromatic L-Amino Acid Decarboxylase with L-Dopa as Substrate in Brush-Border- and Basolateral Membranes and Cytoplasm Obtained from Rat Renal Cortex (1988)

Activities of aromatic L-amino acid decarboxylase (AADC) with L-dopa as its substrate were determined in the plasma membranes and other cellular components isolated from rat renal cortex. The cytoplasm contained a high level of AADC activity, but much lower levels were found in the brush-border- and basolateral membranes. The main site involved in the formation of dopamine from L-dopa was considered to be the cytoplasm, with participation of neither the brush-border- nor the basolateral membranes.
The Kindness of Strangers: The Usefulness of Electronic Weak Ties for Technical Advice (1996)

People use weak ties—relationships with acquaintances or strangers—to seek help unavailable from friends or colleagues. Yet in the absence of personal relationships or the expectation of direct reciprocity, help from weak ties might not be forthcoming or could be of low quality. We examined the practice of distant employees (strangers) exchanging technical advice through a large organizational computer network. A survey of advice seekers and those who replied was conducted to test hypotheses about the viability and usefulness of such electronic weak tie exchanges. Theories of organizational motivation suggest that positive regard for the larger organization can substitute for direct incentives or personal relationships in motivating people to help others. Theories of weak ties suggest that the usefulness of this help may depend on the number of ties, the diversity of ties, or the resources of help providers. We hypothesized that, in an organizational context, the firm-specific resources and organizational motivation of people who provide advice will predict the usefulness of advice. We investigated these theories in a study of employees of a global computer manufacturer. We collected survey and observational data on the relationships between information seekers and information providers; the number, diversity, resources, and motivations of information providers, and subjective ratings of the usefulness of the advice (from both parties in the exchange) and whether or not the advice solved information seekers' problems. We found that information providers gave useful advice and solved the problems of information seekers, despite their lack of a personal connection with the seekers. The data support the main hypotheses and provide some support for resource and diversity explanations of weak tie influence. We discuss how this organization's culture sustained useful intormation exchange through weak ties.
Introduction: Control and synchronization of chaos (1997)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation William L. Ditto, Kenneth Showalter; Introduction: Control and synchronization of chaos. Chaos 1 December 1997; 7 (4): 509–511. https://doi.org/10.1063/1.166276 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioChaos: An Interdisciplinary Journal of Nonlinear Science Search Advanced Search |Citation Search
Semiconductor Manufacturing Process Monitoring Based on Adaptive Substatistical PCA (2010)

Increasing yield and improving product quality are two important issues in the area of semiconductor manufacturing. The purpose of multivariate statistical process control is to improve process operations by quickly detecting process abnormalities and diagnosing the sources of the detected process abnormalities. The statistical-based multiway principal component analysis (PCA) method has drawn increasing interest in semiconductor manufacturing process monitoring. However, there are several drawbacks of this method, including future value estimation, limited number of batches, and non-Gaussian behavior of the process data. This paper proposes a new adaptive substatistical PCA-based method that can avoid future value estimation. By employing support vector data description, a new monitoring statistic is developed that has no Gaussian limitation of the process data. In addition, correlations among the new method, multimodel, and multiway PCA are detailed. Capabilities of the proposed method are demonstrated by an industrial example.
Identification of an overprinting gene in Merkel cell polyomavirus provides evolutionary insight into the birth of viral genes (2013)

Many viruses use overprinting (alternate reading frame utilization) as a means to increase protein diversity in genomes severely constrained by size. However, the evolutionary steps that facilitate the de novo generation of a novel protein within an ancestral ORF have remained poorly characterized. Here, we describe the identification of an overprinting gene, expressed from an Alternate frame of the Large T Open reading frame (ALTO) in the early region of Merkel cell polyomavirus (MCPyV), the causative agent of most Merkel cell carcinomas. ALTO is expressed during, but not required for, replication of the MCPyV genome. Phylogenetic analysis reveals that ALTO is evolutionarily related to the middle T antigen of murine polyomavirus despite almost no sequence similarity. ALTO/MT arose de novo by overprinting of the second exon of T antigen in the common ancestor of a large clade of mammalian polyomaviruses. Taking advantage of the low evolutionary divergence and diverse sampling of polyomaviruses, we propose evolutionary transitions that likely gave birth to this protein. We suggest that two highly constrained regions of the large T antigen ORF provided a start codon and C-terminal hydrophobic motif necessary for cellular localization of ALTO. These two key features, together with stochastic erasure of intervening stop codons, resulted in a unique protein-coding capacity that has been preserved ever since its birth. Our study not only reveals a previously undefined protein encoded by several polyomaviruses including MCPyV, but also provides insight into de novo protein evolution.
Invasive Aspergillosis in Patients with Hematologic Malignancies (2003)

Invasive aspergillosis is an increasingly common and often fatal opportunistic fungal infection in patients with hematologic malignancies. Prolonged and profound neutropenia remains a key risk factor for the development of invasive aspergillosis. However, qualitative deficiencies in host immune responses resulting from prolonged corticosteroid therapy, graft-versus-host disease, and cytomegalovirus infection are important risk factors for the recurrence and progression of Aspergillus infections after bone marrow recovery. Early diagnosis of invasive aspergillosis remains a challenge, and few tools are available for monitoring its course once the diagnosis is established. Even with the recent introduction of new antifungal therapies, mortality in patients with invasive aspergillosis remains high, and uniformly effective prophylaxis or preemptive therapeutic strategies are lacking. Strategies such as combination antifungal therapy and immunotherapy often are used as first-line treatment approaches in patients with documented invasive aspergillosis despite a paucity of clinical trial data. Recent advances in our understanding of the epidemiology, pathogenesis, and treatment of invasive aspergillosis in patients with hematologic malignancies are reviewed. The problems and controversies associated with defining optimal treatment strategies for invasive aspergillosis in this heavily immunocompromised population are highlighted.
Supervised Nonnegative Tensor Factorization with Maximum-Margin Constraint (2013)

Non-negative tensor factorization (NTF) has attracted great attention in the machine learning community. In this paper, we extend traditional non-negative tensor factorization into a supervised discriminative decomposition, referred as Supervised Non-negative Tensor Factorization with Maximum-Margin Constraint(SNTFM2). SNTFM2 formulates the optimal discriminative factorization of non-negative tensorial data as a coupled least-squares optimization problem via a maximum-margin method. As a result, SNTFM2 not only faithfully approximates the tensorial data by additive combinations of the basis, but also obtains a strong generalization power to discriminative analysis (in particularfor classification in this paper). The experimental results show the superiority of our proposed model over state-of-the-art techniques on both toy and real world data sets.
A Blood-Based Gene Expression Test for Obstructive Coronary Artery Disease Tested in Symptomatic Nondiabetic Patients Referred for Myocardial Perfusion Imaging The COMPASS Study (2013)

BACKGROUND- Obstructive coronary artery disease diagnosis in symptomatic patients often involves noninvasive testing before invasive coronary angiography. A blood-based gene expression score (GES) was previously validated in nondiabetic patients referred for invasive coronary angiography but not in symptomatic patients referred for myocardial perfusion imaging (MPI). METHODS AND RESULTS- This prospective, multicenter study obtained peripheral blood samples for GES before MPI in 537 consecutive patients. Patients with abnormal MPI usually underwent invasive coronary angiography; all others had research coronary computed tomographic angiography, with core laboratories defining coronary anatomy. A total of 431 patients completed GES, coronary imaging (invasive coronary angiography or computed tomographic angiography), and MPI. Mean age was 56±10 years (48% women). The prespecified primary end point was GES receiver-operating characteristics analysis to discriminate ≥50% stenosis (15% prevalence by core laboratory analysis). Area under the receiver-operating characteristics curve for GES was 0.79 (95% confidence interval, 0.73-0.84; P<0.001), with sensitivity, specificity, and negative predictive value of 89%, 52%, and 96%, respectively, at a prespecified threshold of ≤15 with 46% of patients below this score. The GES outperformed clinical factors by receiver-operating characteristics and reclassification analysis and showed significant correlation with maximum percent stenosis. Six-month follow-up on 97% of patients showed that 27 of 28 patients with adverse cardiovascular events or revascularization had GES >15. Site and core-laboratory MPI had areas under the curve of 0.59 and 0.63, respectively, significantly less than GES. CONCLUSIONS- GES has high sensitivity and negative predictive value for obstructive coronary artery disease. In this population clinically referred for MPI, the GES outperformed clinical factors and MPI. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT01117506.
How recombinant swollenin from Kluyveromyces lactisaffects cellulosicsubstrates and accelerates their hydrolysis (2011)

Recombinant swollenin can be easily produced with the robust yeast K. lactis. Moreover, swollenin induces deagglomeration of cellulose agglomerates as well as amorphogenesis (decrystallization). For the first time, this study quantifies and elucidates in detail how swollenin affects different cellulosic substrates and their hydrolysis.
Racial and ethnic distribution of nonalcoholic fatty liver in persons with newly diagnosed chronic liver disease† (2005)

We performed a cross-sectional study of newly diagnosed cases of nonalcoholic fatty liver disease (NAFLD) identified between December 1998 and December 2000 in the Chronic Liver Disease Surveillance Study. We compared the demographic and clinical features of NAFLD in a racially diverse representative U.S. population (Alameda County, CA). Diagnostic criteria for probable NAFLD were persistent unexplained elevation of serum aminotransferase levels, radiology (ultrasound or computed tomography scan) consistent with fatty liver, and/or two or more of the following: (i) body mass index of 28 kg/m(2) or more, (ii) type 2 diabetes, or (iii) hyperlipidemia, in the absence of significant alcohol use. Definite NAFLD cases required histological confirmation. Of the 742 persons with newly diagnosed chronic liver disease, 159 (21.4%) had definite or probable NAFLD. The majority were nonwhite: Hispanics (28%), Asians (18%), African Americans (3%), and other race(s) (6%). African Americans with NAFLD were significantly older than other racial or ethnic groups (P < .001), and in Asians, NAFLD was 3.5 times more common in males than in females (P = .016). Clinical correlates of NAFLD (obesity, hyperlipidemia, diabetes) were similar among racial and ethnic groups, except that body mass index was lower in Asians compared with other groups (P < .001). Compared with the base population (Kaiser Permanente members), Hispanics with NAFLD were overrepresented (28% vs. 10%) and whites were underrepresented (45% vs. 59%). In conclusion, these racial and gender variations may reflect differences in genetic susceptibility to visceral adiposity, including hepatic involvement, and may have implications for the evaluation of persons with the metabolic syndrome. Clinicians need to be aware of the variable presentations of NAFLD in different racial and ethnic groups.
Cell phone-based biometric identification (2010)

Mobile devices are becoming increasingly sophisticated and now incorporate many diverse and powerful sensors. The latest generation of smart phones is especially laden with sensors, including GPS sensors, vision sensors (cameras), audio sensors (microphones), light sensors, temperature sensors, direction sensors (compasses), and acceleration sensors. In this paper we describe and evaluate a system that uses phone-based acceleration sensors, called accelerometers, to identify and authenticate cell phone users. This form of behavioral biométrie identification is possible because a person's movements form a unique signature and this is reflected in the accelerometer data that they generate. To implement our system we collected accelerometer data from thirty-six users as they performed normal daily activities such as walking, jogging, and climbing stairs, aggregated this time series data into examples, and then applied standard classification algorithms to the resulting data to generate predictive models. These models either predict the identity of the individual from the set of thirty-six users, a task we call user identification, or predict whether (or not) the user is a specific user, a task we call user authentication. This work is notable because it enables identification and authentication to occur unobtrusively, without the users taking any extra actions-all they need to do is carry their cell phones. There are many uses for this work. For example, in environments where sharing may take place, our work can be used to automatically customize a mobile device to a user. It can also be used to provide device security by enabling usage for only specific users and can provide an extra level of identity verification.
Graphical Models and Computerized Adaptive Testing (1999)

Computerized adaptive testing (CAT) based on item response theory (IRT) is viewed from the perspective of graphical modeling (GM). GM provides methods for making inferences about multifaceted skills and knowledge, and for extracting data from complex performances. However, simply incorporating variables for all sources of variation is rarely successful. Thus, researchers must closely analyze the substance and structure of the problem to create more effective models. Researchers regularly employ sophisticated strategies to handle many sources of variability outside the IRT model. Relevant variables can play many roles without appearing in the operational IRT model per se, e.g., in validity studies, assembling tests, and constructing and modeling tasks. Some of these techniques are described from a GM perspective, as well as how to extend them to more complex assessment situations. Issues are illustrated in the context of language testing.
Exploiting simple hierarchies for unsupervised human behavior analysis (2010)

We propose a data-driven, hierarchical approach for the analysis of human actions in visual scenes. In particular, we focus on the task of in-house assisted living. In such scenarios the environment and the setting may vary considerably which limits the performance of methods with pre-trained models. Therefore our model of normality is established in a completely unsupervised manner and is updated automatically for scene-specific adaptation. The hierarchical representation on both an appearance and an action level paves the way for semantic interpretation. Furthermore we show that the model is suitable for coupled tracking and abnormality detection on different hierarchical stages. As the experiments show, our approach, simple yet effective, yields stable results, e.g. the detection of a fall, without any human interaction.