gebhart/patrepeval huggingface dataset:
Alternate surfaces of transcriptional coregulator GRIP1 function in different glucocorticoid receptor activation and repression contexts (2002)

Members of the mammalian p160 family, such as GRIP1, are known as glucocorticoid receptor (GR) coactivators; at certain glucocorticoid response elements (GREs), however, GRIP1 acts as a GR corepressor. We characterized functional interactions of GR and GRIP1 in a repression complex where GR tethers to DNA-bound activator protein-1 (AP-1), as at the human collagenase-3 gene, and tested whether the identified interactions were similar or different at other response elements. At the AP-1 tethering GRE, we mapped the GRIP1 corepressor activity to a domain distinct from the two known GRIP1 activation domains; it exhibited intrinsic GR-independent repression potential when recruited to DNA via Gal4 DNA-binding domain. Interestingly, neither the domain nor the activity was detected in the other two p160 family members, SRC1 and RAC3. The same GRIP1 corepression domain was required for GR-mediated repression at the nuclear factor-kappaB (NF-kappaB) tethering GRE of the human IL-8 gene. In contrast, at the osteocalcin gene GRE, where GR represses transcription by binding to a DNA site overlapping the TATA box, both GRIP1 and SRC1 corepressed, and the GRIP1-specific repression domain was dispensable. Thus, in a single cell type, GR and GRIP1 conferred one mode of activation and two modes of repression by selectively engaging distinct surfaces of GRIP1 in a response element-specific manner.
Design and Implementation of File Management System Based on RFID Internet of Things (2011)

The present situation and the existing problems of file management are analyzed,advantages of the RFID internet of things which applies to file management system are elaborated.A file automatic management system based on the RFID internet of things is proposed,and the module structure and the business management process of the proposed system are analyzed in detail.The presented system can achieve automatic and intelligent file management.The experimental results show that the system has the engineering practice instruction value and good application prospect.
Synthesis and radical polymerization of 2‐vinyldibenzothiophene (1997)

A monomer having dibenzothiophene moiety, 2-vinyldibenzothiophene (1), was prepared by the Ni-catalyzed cross-coupling reaction of vinyl bromide with the Grignard reagent of 2-bromodibenzothiophene. The radical homopolymerization of 1 and the copolymerization with styrene were carried out at 60°C in toluene (1.0M) for 20 h using AIBN (5 mol %) as an initiator to obtain the corresponding polymers in high yields. Thermal analyses of the copolymers showed that both 10% weight loss and glass transition temperatures increase when increasing the content of 1 unit. The monomer reactivity ratio was evaluated as r1 = 2.55 (1) and r2 = 0.16 (styrene). © 1997 John Wiley & Sons, Inc. J Polym Sci A: Polym Chem 35: 2813–2819, 1997
High intensity focused ultrasound-a surgical technique for the treatment of discrete liver tumours (1989)

The treatment of discrete liver tumours is often a difficult clinical problem. High intensity, focused ultrasound may provide one form of therapy for such disease. The ability to focus ultrasound precisely on a predetermined volume allows the possibility of selective tissue destruction at this position without damage to intervening tissues. We have investigated this both in vivo and in excised liver samples in vitro. Quantitative and qualitative studies have been carried out on the relationship between the ultrasonic exposure and the lesion shape, position and volume. In addition, the highly echogenic nature of the ultrasonic lesion has been studied, in an attempt to determine whether 'real time' observation of the extent of tissue damage is feasible.
A review of machine learning techniques in photoplethysmography for the non-invasive cuff-less measurement of blood pressure (2020)

Hypertension or high blood pressure is a leading cause of death throughout the world and a critical factor for increasing the risk of serious diseases, including cardiovascular diseases such as stroke and heart failure. Blood pressure is a primary vital sign that must be monitored regularly for the early detection, prevention and treatment of cardiovascular diseases. Traditional blood pressure measurement techniques are either invasive or cuff-based, which are impractical, intermittent, and uncomfortable for patients. Over the past few decades, several indirect approaches using photoplethysmogram (PPG) have been investigated, namely, pulse transit time, pulse wave velocity, pulse arrival time and pulse wave analysis, in an effort to utilise PPG for estimating blood pressure. Recent advancements in signal processing techniques, including machine learning and artificial intelligence, have also opened up exciting new horizons for PPG-based cuff less and continuous monitoring of blood pressure. Such a device will have a significant and transformative impact in monitoring patients’ vital signs, especially those at risk of cardiovascular disease. This paper provides a comprehensive review for non-invasive cuff-less blood pressure estimation using the PPG approach along with their challenges and limitations.
Transvenous Stimulation of the Renal Sympathetic Nerves Increases Systemic Blood Pressure: A Potential New Treatment Option for Neurocardiogenic Syncope (2014)

We report the first ever study of feasibility and safety of high-frequency electrical stimulation of the renal sympathetic innervation to increase BP in animal models. This has potential applications in the treatment of hypotensive states such as NCS.
DELTACON: A Principled Massive-Graph Similarity Function (2013)

How much did a network change since yesterday? How different is the wiring between Bob's brain (a left-handed male) and Alice's brain (a right-handed female)? Graph similarity with known node correspondence, i.e. the detection of changes in the connectivity of graphs, arises in numerous settings. In this work, we formally state the axioms and desired properties of the graph similarity functions, and evaluate when state-of-the-art methods fail to detect crucial connectivity changes in graphs. We propose DeltaCon, a principled, intuitive, and scalable algorithm that assesses the similarity between two graphs on the same nodes (e.g. employees of a company, customers of a mobile carrier). Experiments on various synthetic and real graphs showcase the advantages of our method over existing similarity measures. Finally, we employ DeltaCon to real applications: (a) we classify people to groups of high and low creativity based on their brain connectivity graphs, and (b) do temporal anomaly detection in the who-emails-whom Enron graph.
Airplane data networks and security issues (2005)

The information technology (IT) revolution, combined with people's need to access information quickly, has resulted in the explosive growth of the Internet in the past decade. Ubiquitous access to the Internet has become an essential component of a mobile workforce and multiple mechanisms are being devised to ensure seamless connectivity to corporate resources. An integrated security framework requires a careful consideration of the security features of the network within an airplane. The passenger network (PN) is used by passengers within the airplane to access network resources on the global Internet. The crew network (CrN), on the other hand, is meant for the crew of the airplane to access resources not only on the global Internet, but also to access resources within the airplane's home network. The control network (CoN) is a strictly regulated network wherein the various components of an airplane interact with each other. As such, only authorized personnel are allowed access to the CoN. In order to facilitate an efficient monitoring of network activity within the PN, the CrN and the CoN, the authors present an in-house network monitoring tool tuned towards the case of a networked airplane that provides real-time warning of impending network threats to allow the network administrators to carry out appropriate responses to intrusions. The network monitoring agents would be located within the individual networks (PN, CrN and CoN) to monitor individual networks. In addition, another sensor would be located within the aircraft access network to ascertain if malicious traffic is introduced into the CrN and/or the CoN.
Analysis of Kink Characteristics in Silicon-on-Insulator MOSFET's Using Two-Carrier Modeling (1985)

An exact SOI device simulator applicable to prediction of the transistor characteristics in high-current region is developed. In the simulator, the basic two-dimensional Poisson's and current continuity equations are numerically solved under steady-state condition. To obtain a stable and rapid convergence in the numerical scheme, a newly developed alternative step solving method is implemented. Using this simulator, the drain current kink effect, a typical phenomenon for substrate-floating devices, is exactly simulated for the first time. The physical mechanism of this phenomenon is also clarified. The simulated results indicate that kink effects are suppressed by using Iow-lifetime SOI substrates.
Morphology-Controlled Synthesis of Lignin Nanocarriers for Drug Delivery and Carbon Materials (2017)

Lignin is an abundant biopolymer that is mainly burned for energy production today. However, using it as a polyfunctional macromolecular building block would be desirable. Herein, Kraft lignin was modified through esterification of its hydroxyl groups with methacrylic anhydride. Then lignin nanocarriers with different morphologies (solid nanoparticles, core-shell structures, porous nanoparticles) were produced by a combination of miniemulsion polymerization and a solvent evaporation process. A UV-active cargo is used as a drug model to investigate the release behavior of the lignin nanocarriers depending on their morphology. To prove the enzymatic response of the lignin nanocarriers, we tested the enzyme laccase as a trigger to release the encapsulated cargo. Furthermore, porous lignin nanoparticles with high surface area were produced by carbonization. The carbon material has a high potential as an adsorbent, which was studied by adsorption tests with methylene blue. These biodegradable nanocarriers based on the polyfunctional bioresource lignin may find useful application as novel drug delivery vehicle in agriculture or as carbon materials for water purification.
Vacuum foam drying: An alternative to lyophilization for biomolecule preservation (2012)

Vacuum foam drying is evaluated as an alternative for lyophilization for enhanced process and storage stability of bovine serum albumin. The protein protective efficiency of different stabilizers was compared in vacuum foam drying and lyophilization. Sucrose mixtures produced better foam characters than mannitol. Unlike calcium lactate, incorporation of polyvinyl pyrrolidone to sucrose synergistically enhanced the recovery of bovine serum albumin. The conformational stability and bovine serum albumin content further increased with sodium phosphate as compared to potassium phosphate. All sucrose mixtures, except calcium lactate showed large α-helix amide-I band at approximately 1656 cm(-1). The amorphous powder diffraction in case of sodium phosphate monobasic mixture retained maximum bovine serum albumin content. The crystallization of similar mixtures in lyophilization reduced its bovine serum albumin content. Vacuum foam drying showed better processing and storage stability of bovine serum albumin than lyophilization process. Hence vacuum foam drying is short, simple and industrially economical process for biomolecules preservation.
A wastewater game changer (2014)

A biotechnology may could slash energy use, chemical inputs and greenhouse emissions in wastewater treatment. By Richard Collins.
Monitoring the tilt angle of an ion-beam cross-section (1984)

A nondestructive method is presented to monitor the tilt angle of an elliptical cross-section of an ion beam. The desired information is extracted from random signals induced by the beam on four metal electrodes forming part of a flight tube.
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective (2018)

The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the integration of massively deployed smart computing and network technologies in industrial production and manufacturing settings for the purposes of automation, reliability, and control, implicating the development of an Industrial Internet of Things (I-IoT). Specifically, I-IoT is devoted to adopting the Internet of Things (IoT) to enable the interconnection of anything, anywhere, and at anytime in the manufacturing system context to improve the productivity, efficiency, safety and intelligence. As an emerging technology, I-IoT has distinct properties and requirements that distinguish it from consumer IoT, including the unique types of smart devices incorporated, network technologies and quality of service requirements, and strict needs of command and control. To more clearly understand the complexities of I-IoT and its distinct needs, and to present a unified assessment of the technology from a systems perspective, in this paper we comprehensively survey the body of existing research on I-IoT. Particularly, we first present the I-IoT architecture, I-IoT applications (i.e., factory automation (FA) and process automation (PA)) and their characteristics. We then consider existing research efforts from the three key systems aspects of control, networking and computing. Regarding control, we first categorize industrial control systems and then present recent and relevant research efforts. Next, considering networking, we propose a three-dimensional framework to explore the existing research space, and investigate the adoption of some representative networking technologies, including 5G, machine-to-machine (M2M) communication, and software defined networking (SDN). Similarly, concerning computing, we again propose a second three-dimensional framework that explores the problem space of computing in I-IoT, and investigate the cloud, edge, and hybrid cloud and edge computing platforms. Finally, we outline particular challenges and future research needs in control, networking, and computing systems, as well as for the adoption of machine learning, in an I-IoT context.
Learning State Space Trajectories in Recurrent Neural Networks: A preliminary Report (1988)

Abstract: "We describe a procedure for finding [formula] where E is an arbitrary functional of the temporal trajectory of the states of a continuous recurrent network and w[subscript ij] are the weights of that network. An embellishment of this procedure involving only computations that go forward in time is also described. Computing these quantities allows one to perform gradient descent in the weights to minimize E, so our procedure forms the kernel of a new connectionist learning algorithm."
PMD mitigation using diversity detection (2002)

We present a new diversity receiver that provides significant performance improvement compared to direct detection. By incorporating active electronics into its structure, we show further performance improvements can be achieved and the intersymbol interference (ISI) due to polarisation mode dispersion (PMD) can be further reduced.
Pathogenesis of Valvular Heart Disease (2012)

Abstract The mechanisms causing valvular disease of the aortic, mitral, tricuspid, and pulmonary valves are examined in this chapter. Sclerosis, stenosis, calcification, and regurgitation are addressed.
The impact of product innovation on firm growth using a multi-stage model: evidence in a period of economic crisis (2018)

The period of economic crisis started in late 2008 meant a change in the conditions
of the environment, reducing the number of innovative companies as well as
investment in innovation. An adverse macroeconomic environment can also
determine the outputs of innovation and its effect on firm growth. The objective of the
article is therefore (i) to analyze the determinants of innovation output and (ii) to
examine how these outputs influences firm growth during a period of economic crisis.
For this purpose, we used a panel of Spanish firms during the period 2005-2013,
employing a sequential multi stage approach based on four phases: decision to
innovate, how much innovate, innovation outputs and finally, the effect of these
innovations on firm growth. The results confirm that for the period of economic crisis,
investment in innovation remains decisive for generating innovations outputs, albeit
with a slightly smaller effect. In contractive periods, both previous experience and
continuous activities of intramural R&D are two fundamental factors to generate
outputs from innovations. In any case, the positive effect of innovation outputs on firm
growth is reduced by half in times of crisis. The results imply that companies must
recalculate the opportunity cost of innovation, given that both previous experience in
innovation and a continued effort in R&D can reduce the negative effects of
contractionary macroeconomic periods on innovation.
Twosodium-channel genes inDrosophila: Implications for channel diversity (1989)

We describe twoDrosophila melanogaster transcription units that arehighly homologous toaratNa'- channel cDNA.Theyappear toencode themajor subunits of twodistinct Na'-channel proteins. Oneofthese mapstothe second chromosome andisidentical toaNa+-channel gene whosepartial sequence hasbeenpreviously reported (Salkoff, L.,Butler, A.,Wei,A.,Scavarda, N.,Giffen, K.,Ifune, K., Goodman, R.&Mandel, G.(1987) Science 237, 744-749). The other transcription unit mapstoposition 14C/D, ontheX chromosome, close totheparalyzed (para) gene. Mutations in paraaffect membrane excitability inDrosophila neurons (Gan- etzky, B.& Wu,C.F.(1986) Annu.Rev.Genet. 20,13-44). Sequence comparisons suggest thattwoNa'-channel genes aroseearly inevolution, before thedivergence ofvertebrate andinvertebrate lines. ity(17). Conversely, mutations thataffect Na+currents (paras, nap5, andtip-E) causeanoverall decrease in membrane excitability (16-19). Thesemutations might iden- tify structural genes forionchannels orgenes forproteins involved inthesynthesis, membrane distribution, ormodu- lation ofionchannels. We havesearched Drosophila melanogaster genomic li- braries forsequences similar toanmRNA forthelarge subunit ofavoltage-gated Na+channel fromratbrain, with goals to(i) complement genetic approaches, (ii) analyze the diversity ofNa+-channel genes, and(iii) further understand thestructure andevolution ofionchannels. Inthis paper, we report thepartial characterization oftwotranscription units that appear toencode distinct Na+-channel proteins.* Oneof these genes probably corresponds totheparalocus.
Calcium neuroimaging in behaving zebrafish larvae using a turn-key light field camera (2015)

Reconstructing a three-dimensional scene from multiple simultaneously acquired perspectives (the light field) is an elegant scanless imaging concept that can exceed the temporal resolution of currently available scanning-based imaging methods for capturing fast cellular processes. We tested the performance of commercially available light field cameras on a fluorescent microscopy setup for monitoring calcium activity in the brain of awake and behaving reporter zebrafish larvae. The plenoptic imaging system could volumetrically resolve diverse neuronal response profiles throughout the zebrafish brain upon stimulation with an aversive odorant. Behavioral responses of the reporter fish could be captured simultaneously together with depth-resolved neuronal activity. Overall, our assessment showed that with some optimizations for fluorescence microscopy applications, commercial light field cameras have the potential of becoming an attractive alternative to custom-built systems to accelerate molecular imaging research on cellular dynamics.
A novel PEG coating immobilized onto capillary through polydopamine coating for separation of proteins in CE (2010)

The antifouling PEG-immobilized capillary was introduced for the protein separation in CE through mussel adhesive protein inspired polydopamine coating for the first time. The polydopamine, formed by spontaneous oxidative polymerization of dopamine at alkaline in the inner surface of capillary, was exploited to immobilize amine-functionalized PEG onto the capillary surface. During the process, polydopamine-graft-PEG copolymer was formed via Michael addition or Schiff base reactions. The polymer coating was observed using X-ray photoelectron spectroscopy and SEM. And both of them indicated the formation of the polymer coating. A comparative study of EOF showed that the novel coating could provide effective suppression of EOF and minimized adsorption of proteins. As a consequence, fast and efficient separations of three proteins such as lysozyme, cytochrome c, and ribonuclease A were obtained within a broad pH range. Furthermore, the long-term stability of polydopamine-graft-PEG coating in consecutive protein separation runs and the high separation efficiency proved that this novel coating was capable of minimizing protein adsorption during the capillary separation. The successful capillary performance also was demonstrated in the separation of protein mixture and milk powder samples at acidic pH.
Dysregulated mTORC1-Dependent Translational Control: From Brain Disorders to Psychoactive Drugs (2011)

In the last decade, a plethora of studies utilizing pharmacological, biochemical, and genetic approaches have shown that precise translational control is required for long-lasting synaptic plasticity and the formation of long-term memory. Moreover, more recent studies indicate that alterations in translational control are a common pathophysiological feature of human neurological disorders, including developmental disorders, neuropsychiatric disorders, and neurodegenerative diseases. Finally, translational control mechanisms are susceptible to modification by psychoactive drugs. Taken together, these findings point to a central role for translational control in the regulation of synaptic function and behavior.
Autoantibodies to BCOADC-E2 in patients with primary biliary cirrhosis recognize a conformational epitope (1995)

Primary biliary cirrhosis (PBC) is an autoimmune disease of liver associated with a unique serologic response to mitochondrial autoantigens. Many of the autoantigens recognized by autoantibodies in PBC are members of the 2-oxo-acid dehydrogenase complex. The two major autoantigens are the E2 component of the pyruvate dehydrogenase complex (PDC-E2) and the E2 component of the branched chain 2-oxo-acid dehydrogenase complex (BCOADC-E2). The autoantibody response to PDC-E2 has been mapped to one immunodominant epitope, which consists of both linear and conformational components. The presence of a single immunodominant epitope in PDC-E2 is unusual when contrasted to the immune response to autoantigens in other human autoimmune diseases. We have mapped the epitope recognized by antimitochondrial autoantibodies (AMA) specific to BCOADC-E2 in patients with PBC by taking advantage of the full-length bovine BCOADC-E2 complementary DNA (cDNA) and a series of expression clones spanning the entire molecule. Reactivity to the various expression clones was studied by immunoblotting, enzyme-linked immunosorbent assay (ELISA), as well as selective absorption of patient sera by expressed protein fragments. Autoantibodies to BCOADC-E2 map within peptides spanning amino acid residues 1 to 227 of the mature protein; our data demonstrate that the epitope is dependent on conformation and includes the lipoic acid binding region. However, only the full-length clone (amino acid residue 1 to 421) is sufficient to remove all detectable BCOADC-E2 reactivity. Moreover, the absence of lipoic acid on the recombinant polypeptides used in this study indicates that antibody binding to BCOADC-E2 is not dependent on the presence of lipoic acid. (Hepatology 1995; 22:505-513.)