gebhart/patrepeval huggingface dataset:
Recovery of valuable and toxic metals from crystalline-Si modules (2016)

Valuable and toxic metals including Ag, Pb, Sn and Cu can be recovered from end-of-life Si solar modules. This study presents the recovery of Ag, Pb, Sn and Cu from a simulated leach solution of crystalline-Si modules. 11.4% HNO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> is used as the leach solution. Ag, Pb, Sn and Cu pellets are dissolved in the solution to simulate the metals from front contacts and soldered wires in Si modules. Sn precipitates in the solution as SnO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , which can be separated by filtration or sedimentation. Voltammetry reveals the reduction potentials for Ag and Cu. It is demonstrated that 3-electrode sequential electrowinning can extract Ag and Cu one by one from the solution. The recovery rates of Ag and Cu are 74% and 83%, respectively. Toxic Pb is deposited on the anode as PbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> during Cu recovery. The purity of the extracted metals is above 99%.
EVALUATION OF NATURAL AND IN-SITU REMEDIATION TECHNOLOGIES FOR A COAL-RELATED METALS PLUME (2003)

Metals contamination exceeding drinking water standards (MCLs) is associated with acidic leachate generated from a coal pile runoff basin at the Savannah River Site (SRS) in Aiken, South Carolina. The metals plume extends over 100 acres with its' distal boundary about onehalf mile from the Savannah River. Based on the large plume extent and high dissolved iron and aluminum concentrations, conventional treatment technologies are likely to be ineffective and cost prohibitive. In-situ bioremediation using existing groundwater microbes is being evaluated as a promising alternative technology for effective treatment, along with consideration of natural attenuation of the lower concentration portions of the plume to meet remedial goals. Treatment of the high concentration portion of the groundwater plume by sulfate-reducing bacteria (SRB) is being evaluated through laboratory microcosm testing and a field-scale demonstration. Organic substrates are added to promote SRB growth. These bacteria use dissolved sulfate as an electron acceptor and ultimately precipitate dissolved metals as metal sulfides. Laboratory microcosm testing indicate SRB are present in groundwater despite low pH conditions, and that their growth can be stimulated by soybean oil and sodium lactate. The field demonstration consists of substrate injection into a 30-foot deep by 240-foot long permeable trench. Microbial activity is demonstrated by an increase in pH from 3 to 6 within the trench. Downgradient monitoring will be used to evaluate the effectiveness of SRB in reducing metal concentrations. Natural attenuation (NA) is being evaluated for the low concentration portion of the plume. A decrease in metal mobility can occur through a variety of abiotically and/or biotically mediated mechanisms. Quantification of these mechanisms is necessary to more accurately predict contaminant attenuation using groundwater transport models that have historically relied on simplified conservative assumptions. Result s from matched soil/porewater samples indicate higher soil/water partition coefficients (Kds) with increasing distance from the source. In addition, site-specific metals availability is being assessed using sequential extraction techniques, which more accurately represent environmental conditions as compared to default EPA extraction methods. Due to elevated sulfate levels in the plume, SRB are most likely to be the dominant biotic contributor to NA processes.
Joint arterial input function and tracer kinetic parameter estimation from undersampled dynamic contrast‐enhanced MRI using a model consistency constraint (2017)

The proposed model-based DCE-MRI reconstruction enables the use of different TK solvers with a model consistency constraint and enables joint estimation of patient-specific AIF. TK maps and patient-specific AIF with high fidelity can be reconstructed at up to 100-fold undersampling in k,t-space. Magn Reson Med 79:2804-2815, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
Noninvasive Continuous Glucose Monitoring Using a Multisensor-Based Glucometer and Time Series Analysis (2017)

Daily continuous glucose monitoring is very helpful in the control of glucose levels for people with diabetes and impaired glucose tolerance. In this study, a multisensor-based, noninvasive continuous glucometer was developed, which can continuously estimate glucose levels via monitoring of physiological parameter changes such as impedance spectroscopy at low and high frequency, optical properties, temperature and humidity. Thirty-three experiments were conducted for six healthy volunteers and three volunteers with diabetes. Results showed that the average correlation coefficient between the estimated glucose profiles and reference glucose profiles reached 0.8314, with a normalized root mean squared error (NRMSE) of 14.6064. The peak time of postprandial glucose was extracted from the glucose profile, and its estimated value had a correlation coefficient of 0.9449 with the reference value, wherein the root mean square error (RMSE) was 6.8958 min. Using Clarke error grid (CEG) analysis, 100% of the estimated glucose values fell in the clinically acceptable zones A and B, and 92.86% fell in zone A. The application of a multisensor-based, noninvasive continuous glucometer and time series analysis can endure the time delay between human physiological parameters and glucose level changes, so as to potentially accomplish noninvasive daily continuous glucose monitoring.
Fabricating Optical-quality Glass Surfaces to Study Macrophage Fusion (2018)

Visualizing the formation of multinucleated giant cells (MGCs) from living specimens has been challenging due to the fact that most live imaging techniques require propagation of light through glass, but on glass macrophage fusion is a rare event. This protocol presents the fabrication of several optical-quality glass surfaces where adsorption of compounds containing long-chain hydrocarbons transforms glass into a fusogenic surface. First, preparation of clean glass surfaces as starting material for surface modification is described. Second, a method is provided for the adsorption of compounds containing long-chain hydrocarbons to convert non-fusogenic glass into a fusogenic substrate. Third, this protocol describes fabrication of surface micropatterns that promote a high degree of spatiotemporal control over MGC formation. Finally, fabricating glass bottom dishes is described. Examples of use of this in vitro cell system as a model to study macrophage fusion and MGC formation are shown.
Noninvasive assessment of liver function (2015)

It is our opinion that dual cholate is a relevant test for defining disease severity, monitoring the natural course of disease progression, and quantifying the response to therapy.
Use of Pseudomonas aeruginosa Toxin A in the Construction of Conjugate Vaccines and Immunotoxins (1987)

Pseudomonas aeruginosa toxin A was used to construct conjugate vaccines and potent cytotoxic immunotoxins. Nontoxic, serologically active O polysaccharide derived from P. aeruginosa lipopolysaccharide (LPS) was covalently coupled to toxin A via reductive amination. The conjugate was nontoxic, nonpyrogenic, and had a molecular size of 2 X 10(6). The conjugate vaccine was safe when administered to human volunteers and was capable of evoking an immune response to both LPS and toxin A. Native toxin A was coupled to monoclonal antibodies to the human transferrin receptor and the human interleukin 2 receptor to produce immunotoxins active against receptor-bearing cell lines. Antitumor activity was demonstrated when the immunotoxin directed against the transferrin receptor was administered to nude mice bearing human ovarian tumors.
Efficient Graphlet Counting for Large Networks (2015)

From social science to biology, numerous applications often rely on graphlets for intuitive and meaningful characterization of networks at both the global macro-level as well as the local micro-level. While graphlets have witnessed a tremendous success and impact in a variety of domains, there has yet to be a fast and efficient approach for computing the frequencies of these subgraph patterns. However, existing methods are not scalable to large networks with millions of nodes and edges, which impedes the application of graphlets to new problems that require large-scale network analysis. To address these problems, we propose a fast, efficient, and parallel algorithm for counting graphlets of size k={3,4}-nodes that take only a fraction of the time to compute when compared with the current methods used. The proposed graphlet counting algorithms leverages a number of proven combinatorial arguments for different graphlets. For each edge, we count a few graphlets, and with these counts along with the combinatorial arguments, we obtain the exact counts of others in constant time. On a large collection of 300+ networks from a variety of domains, our graphlet counting strategies are on average 460x faster than current methods. This brings new opportunities to investigate the use of graphlets on much larger networks and newer applications as we show in the experiments. To the best of our knowledge, this paper provides the largest graphlet computations to date as well as the largest systematic investigation on over 300+ networks from a variety of domains.
Abstract 4872: Developing high affinity, soluble T cell receptors for the treatment of cancer (2016)

Abstract Immunotherapeutic strategies that drive activation of cytotoxic T cells possess significant potential to eradicate tumours. Whereas monoclonal antibodies are restricted to targeting secreted or cell surface proteins, T cell receptors (TCRs) are able to recognise a wider range of targets. This is achieved through binding to short peptide fragments derived from proteins that are degraded intracellularly and presented at the cell surface by human leukocyte antigens (HLAs). Natural cancer specific TCRs however, have weak affinities and cancer cells often develop escape mechanisms to avoid destruction by T cells. To overcome this, we have developed Immune mobilising monoclonal TCRs Against Cancer (ImmTACs); a new class of soluble bi-specific molecules comprising affinity-enhanced, monoclonal T cell receptors (mTCRs) fused to an anti-CD3 scFv. ImmTACs target peptides presented by HLA, and through the anti-CD3 effector, re-direct cytotoxic T cells to achieve highly specific and potent tumour cell killing. At Immunocore, we have developed an integrated in-house process for the generation of ImmTACs and here describe the critical engineering steps involved. T-cell clones that specifically recognise validated cancer antigens are isolated from peripheral blood lymphocytes and the TCR-encoding sequences are identified by RACE. To confirm antigen binding, TCR á and â chains are expressed as inclusion bodies in bacteria, co-refolded in vitro, and their binding to the target peptide:HLA tested by Surface Plasmon Resonance (SPR). The affinity of the TCR is then enhanced up to a million-fold through directed evolution, utilising phage display. Individual mutants are screened by SPR and combined to generate ImmTACs with pM affinities (KD) and binding half-lives of many hours. A range of biochemical and cellular assays are then performed to assess the potency and specificity of each ImmTAC generated. This process has been successfully applied to produce ImmTACs for a wide range of targets, demonstrating the robustness of the platform. Our lead candidate, IMCgp100, is undergoing Phase IIa clinical trials in patients with advanced malignant melanoma. This reagent, which specifically targets the gp100 (280-288) peptide presented by HLA-A2 on melanoma cells, is well tolerated and shows very promising therapeutic potential. Citation Format: Andrew Knox, Fiona Chester, Frayne Bianchi, Sarah Bailey, Lucie Bouard, Nathaniel Liddy, Giovanna Bossi, Jane Harper, Joseph Dukes, Samantha Paston, Tara Mahon, Jessie Gavarret, Peter Molloy, Malkit Sami, Emma Baston, Brian Cameron, Alex Powlesland, Penio Todorov, Andrew Johnson, Martin Ebner, Yvonne McGrath, Namir Hassan, Annelise Vuidepot, Bent Jakobsen. Developing high affinity, soluble T cell receptors for the treatment of cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4872.
Test sequence compaction methods for acyclic sequential circuits using a time expansion model (2002)

Abstract Test sequences for acyclic sequential circuits can be generated by using a time expansion model. In this paper, static and dynamic test sequence compaction techniques are proposed in which the test sequence generated by the time expansion model has two characteristics: (1) The test sequence length is constant, and (2) The location of an undefined value ( X ) for all primary inputs can be determined independently of test generation faults. First, a static test sequence compaction method is proposed that uses a template which is independent of the value of the test sequence. Then a dynamic test sequence compaction method is presented using reverse transform fault simulation, performing fault simulation for the time expansion model of the test pattern in which the test sequence after compaction is reverse‐transformed. As a result of application of the proposed method to acyclic sequential circuits made by using partial scan design, the test sequence length was reduced by 19 to 34%. © 2002 Wiley Periodicals, Inc. Syst Comp Jpn, 33(10): 105–115, 2002; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/scj.1162
Reliability-Constrained Resource Allocation for Optically Interconnected Distributed Clouds (2014)

We propose heuristic algorithms to select data centers and allocate virtual machines based on various parameters in optically interconnected clouds for minimizing the maximum delay between selected data centers with reliability and computing resource constraints.
Combination lithography for photonic-crystal circuits (2004)

We propose and demonstrate a process for fabricating large-area photonic-crystal slabs with designed defects. The process takes advantage of a property we have observed in certain photoresists. These resists, which under ultraviolet illumination exhibit positive tone, behave as negative resists under electron-beam exposure. Electron-beam exposure is used first to expose defect structures, which renders them insensitive to further exposure. Subsequently, a large area is exposed with a photonic-crystal structure consisting of a regular pattern of holes defined by the interference between several ultraviolet laser beams. Upon chemical developing, a large photonic-crystal region with local patterned defects is created in the resist. The patterned resist is used as an etch mask for etching a slab of high-refractive-index material. In this article, we describe the fabrication process and present fabricated structures.
RadarNet: Efficient Gesture Recognition Technique Utilizing a Miniature Radar Sensor (2021)

Gestures are a promising candidate as an input modality for ambient computing where conventional input modalities such as touchscreens are not available. Existing works have focused on gesture recognition using image sensors. However, their cost, high battery consumption, and privacy concerns made cameras challenging as an always-on solution. This paper introduces an efficient gesture recognition technique using a miniaturized 60 GHz radar sensor. The technique recognizes four directional swipes and an omni-swipe using a radar chip (6.5 × 5.0 mm) integrated into a mobile phone. We developed a convolutional neural network model efficient enough for battery powered and computationally constrained processors. Its model size and inference time is less than 1/5000 compared to an existing gesture recognition technique using radar. Our evaluations with large scale datasets consisting of 558,000 gesture samples and 3,920,000 negative samples demonstrated our algorithm’s efficiency, robustness, and readiness to be deployed outside of research laboratories.
P1‐185: SECRETED AMYLOID PRECURSOR PROTEIN IS A GABABR1A LIGAND THAT SUPPRESSES SYNAPTIC VESICLE RELEASE (2018)

The Amyloid Precursor Protein (APP) is central to the pathogenesis of Alzheimer's disease, yet its physiological function remains unresolved. Increasing evidence suggests that APP has a synaptic function mediated by an unidentified synaptic receptor for the shed APP ectodomain (sAPP). To identify candidate synaptic interactors for sAPP, we performed a shotgun proteomics screen using purified sAPP-Fc as bait and synaptosome extracts from rat brain as prey. We performed cell surface binding assays and isothermal titration calorimetry to validate binding of sAPP to GABA B receptor. To access if sAPP modulates GABABR function, we analyzed miniature excitatory postsynaptic currents and FM1-43 dye release in mouse hippocampal cultures as well as basal synaptic transmission and short-term synaptic plasticity in hippocampal slices in response to acute application of sAPP and GABABR antagonists. sAPP binds the GABABR subunit 1a (GABABR1a), which predominantly localizes to synaptic boutons. This interaction is direct and mediated by a conserved peptide stretch in the recently characterized extension domain of APP and the sushi1 domain specific to the GABABR1a subunit. sAPP-GABABR1a binding suppresses basal synaptic transmission and augments short-term synaptic facilitation via inhibition of synaptic vesicle release in hippocampal synapses. Our findings identify GABABR1a as a synaptic receptor for sAPP and reveal a physiological role for sAPP in modulating GABABR1a function, which is important for maintaining synaptic homeostasis in neural circuitry.
Restoring ventilatory control using an adaptive bioelectronic system (2018)

Ventilatory pacing via electrical stimulation of the phrenic nerve or of the diaphragm has been shown to enhance quality of life compared to mechanical ventilation. However, commercially-available ventilatory pacing devices require initial manual specification of stimulation parameters and frequent adjustment to achieve and maintain suitable ventilation over long periods of time. Here, we have developed an adaptive, closed-loop, neuromorphic, pattern-shaping controller capable of automatically determining a suitable stimulation pattern and adapting it to maintain a desired breath volume profile on a breath-by-breath basis. In vivo studies in anesthetized intact and C2-hemisected male Sprague-Dawley rats indicated that the controller was capable of automatically adapting stimulation parameters to attain a desired volume profile. Despite diaphragm hemiparesis, the controller was able to achieve a desired volume in the injured animals that did not differ from the tidal volume observed prior to injury (p=0.39). The closed-loop controller was developed and parametrized in a computational testbed prior to in-vivo assessment. This bioelectronic technology could serve as an individualized and autonomous respiratory pacing approach for support or recovery from ventilatory deficiency.
Cellular Pharmacology of P-ethoxy Antisense Oligonucleotides Targeted to Bcl-2 in a Follicular Lymphoma Cell Line (2003)

A P-ethoxy oligonucleotide (oligo), 20 bases long and specific for the translation initiation site of human Bcl-2 mRNA, was incorporated into liposomes to increase its intracellular delivery. This oligo selectively inhibited Bcl-2 protein expression and induced growth inhibition in t(14;18)-positive transformed follicular lymphoma (FL) cell lines. We studied the inhibitory effects of shorter liposomal P-ethoxy oligos (7, 9, 11 or 15 mer) in order to determine the activity of different oligo chain lengths targeted to the same Bcl-2 mRNA. At 12 microM, all the oligos inhibited the growth of a FL cell line. We compared the 7-mer oligo with the 20-mer oligo. The two oligos inhibited Bcl-2 protein expression similarly: 66% and 60% for the 7- and 20-mer, respectively. The uptake and retention of both oligos were also very similar. Our results indicate that the Bcl-2 inhibitory activity is maintained with P-ethoxy antisense oligos ranging from 7 to 20 bases.
Heterogeneity of hepatitis B surface antigen-associated particles isolated from chimpanzee plasma (1977)

Hepatitis B surface antigen (HBsAg) was purified from approximately 8 liters of pooled plasma from a carrier chimpanzee. Precipitation of HBsAg with polyethylene glycol resulted in more than 20-fold purification, with about 80% recovery of antigenic activity. The sample was separated by further purification and fractionation into three populations of HBsAg-associated particles by column chromatography on hydroxylapatite: the first contained short filaments and 22- to 28-nm spheres, the second was composed of larger filaments and variable-sized spheres, and the third contained mostly 16- to 22-nm spherical particles. A large volume of the polyethylene glycol precipitate passed through hydroxyl-apatite twice yielded over 650 mg of partially purified HBsAg. A pooled preparation of purified HBsAg was separated by zone-convection electrofocusing into five peaks of antigenic activity within the pH range of 4.7 to 5.7.
Coordinating Garbage Collectionfor Arrays of Solid-State Drives (2014)

Although solid-state drives (SSDs) offer significant performance improvements over hard disk drives (HDDs) for a number of workloads, they can exhibit substantial variance in request latency and throughput as a result of garbage collection (GC). When GC conflicts with an I/O stream, the stream can make no forward progress until the GC cycle completes. GC cycles are scheduled by logic internal to the SSD based on several factors such as the pattern, frequency, and volume of write requests. When SSDs are used in a RAID with currently available technology, the lack of coordination of the SSD-local GC cycles amplifies this performance variance. We propose a global garbage collection (GGC) mechanism to improve response times and reduce performance variability for a RAID of SSDs. We include a high-level design of SSD-aware RAID controller and GGC-capable SSD devices and algorithms to coordinate the GGC cycles. We develop reactive and proactive GC coordination algorithms and evaluate their I/O performance and block erase counts for various workloads. Our simulations show that GC coordination by a reactive scheme improves average response time and reduces performance variability for a wide variety of enterprise workloads. For bursty, write-dominated workloads, response time was improved by 69 percent and performance variability was reduced by 71 percent. We show that a proactive GC coordination algorithm can further improve the I/O response times by up to 9 percent and the performance variability by up to 15 percent. We also observe that it could increase the lifetimes of SSDs with some workloads (e.g., Financial) by reducing the number of block erase counts by up to 79 percent relative to a reactive algorithm for write-dominant enterprise workloads.