gebhart/patrepeval huggingface dataset:
Ion‐Selective Sensors Based on Laser‐Induced Graphene for Evaluating Human Hydration Levels Using Urine Samples (2020)

Abstract Complex graphene electrode fabrication protocols including conventional chemical vapor deposition and graphene transfer techniques as well as more recent solution‐phase printing and postprint annealing methods have hindered the wide‐scale implementation of electrochemical devices including solid‐state ion‐selective electrodes (ISEs). Herein, a facile graphene ISE fabrication technique that utilizes laser induced graphene (LIG), formed by converting polyimide into graphene by a CO 2 laser and functionalization with ammonium ion (NH 4 + ) and potassium ion (K + ) ion‐selective membranes, is demonstrated. The electrochemical LIG ISEs exhibit a wide sensing range (0.1 × 10 −3 –150 × 10 −3 m for NH 4 + and 0.3 × 10 −3 –150 × 10 −3 m for K + ) with high stability (minimal drop in signal after 3 months of storage) across a wide pH range (3.5–9.0). The LIG ISEs are also able to monitor the concentrations of NH 4 + and K + in urine samples (29–51% and 17–61% increase for the younger and older patient; respectively, after dehydration induction), which correlate well with conventional hydration status measurements. Hence, these results demonstrate a facile method to perform in‐field ion sensing and are the first steps in creating a protocol for quantifying hydration levels through urine testing in human subjects.
Querying and Exploring Polygamous Relationships in Urban Spatio-Temporal Data Sets (2017)

The Data Polygamy framework allows users to uncover interesting patterns and interactions in the data exhaust from different components of an urban environment. But analyzing the plethora of relationships derived by the framework is challenging. In this demo, we show how visualization can help in the discovery of relationships that are potentially interesting by allowing users to query and explore the relationship set in an intuitive way. We will demonstrate the effectiveness of the visual interface through case studies, and demo visitors will also interact with the polygamous relationships.
A “Stealth Effect”: Adenocarcinoma Cells Engineered to Express TRAIL Elude Tumor-Specific and Allogeneic T Cell Reactions (1999)

BALB/c mammary adenocarcinoma cells engineered to express TNF-related apoptosis-inducing ligand (TRAIL)/APO-2 ligand (APO-2L) on their membrane (TSA-TRAIL) grow with kinetics similar to that of parental cells (TSA-pc) in vitro and in nu/nu mice. In contrast, TSA-TRAIL cells grow faster than TSA-pc in normal BALB/c mice. In DBA/2 mice, which differ from BALB/c mice at minor histocompatibility Ags, they also grow faster and display a higher percentage of tumor takes than TSA-pc. In fully histoincompatible C57BL/6 (B6) mice, TSA-TRAIL cells form evident tumors that are slowly rejected by most mice, but outgrow in a few. In contrast, TSA-pc cells are rejected at once by B6 mice. Since TRAIL/APO-2L induces apoptosis by interacting with a variety of specific receptors, this rapid growth in both syngeneic and allogeneic mice may be the result of an immunosuppressive mechanism. The following evidence supports this hypothesis: 1) TSA-TRAIL cells overcome the strong immunity against TSA-pc cells elicited in BALB/c mice by preimmunization with TSA cells engineered to release IL-4; 2) their rejection by B6 mice does not prime a CTL-mediated memory; 3) thymidine uptake by T lymphocytes unstimulated or stimulated by allogeneic cells is inhibited when TSA-TRAIL cells are added as third party cells; 4) CTL kill TSA-pc but not TSA-TRAIL cells in 48-h assays; and 5) activated lymphocytes interacting with TSA-TRAIL cells in vivo and in vitro undergo apoptosis.
Inhibition of nuclear factor‐kappaB suppresses peritoneal dissemination of gastric cancer by blocking cancer cell adhesion (2011)

Currently, patients with peritoneal dissemination of gastric cancer must accept a poor prognosis because there is no standard effective therapy. To inhibit peritoneal dissemination it is important to inhibit interactions between extracellular matrices (ECM) and cell surface integrins, which are important for cancer cell adhesion. Although nuclear factor-kappa B (NF-κB) is involved in various processes in cancer progression, its involvement in the expression of integrins has not been elucidated. We used a novel NF-κB inhibitor, dehydroxymethylepoxyquinomicin (DHMEQ), to study whether NF-κB blocks cancer cell adhesion via integrins in a gastric cancer dissemination model in mice and found that DHMEQ is a potent suppressor of cancer cell dissemination. Dehydroxymethylepoxyquinomicin suppressed the NF-κB activity of human gastric cancer cells NUGC-4 and 44As3Luc and blocked the adhesion of cancer cells to ECM when compared with the control. Dehydroxymethylepoxyquinomicin also inhibited expression of integrin (α2, α3, β1) in in vitro studies. In the in vivo model, we injected 44As3Luc cells pretreated with DHMEQ into the peritoneal cavity of mice and performed peritoneal lavage after the injection of cancer cells. Viable cancer cells in the peritoneal cavities were evaluated sequentially by in vivo imaging. In mice injected with DHMEQ-pretreated cells and lavaged, live cancer cells in the peritoneum were significantly reduced compared with the control, and these mice survived longer. These results indicate that DHMEQ could inhibit cancer cell adhesion to the peritoneum possibly by suppressing integrin expression. Nuclear factor-kappa B inhibition may be a new therapeutic option for suppressing postoperative cancer dissemination.
Lighting Design of Extended Light Source (2013)

A workflow of LED lighting design will be discussed in the paper. And it will analyze the influence of different LED die size distribution. It will present the design method how to design from spot source to line source and then to extended source in the mathematic theory. It means to research from 2D to 3D design about LED light source.
Bone Mineral Status Measured by Direct Photon Absorptiometry in Childhood Renal Disease (1977)

Bone width (BW), bone mineral content (BMC), and their ration (BMC/BW ratio) were measured in renal patients using direct photon absorptiometry. Serial measurements were made on the radius and ulna in 74 children with renal diseases. Values were compared to age-, sex-, height-, and weight-matched controls. The SD from the mean in normal subjects is +/- 10%. Significant demineralization (greater than -2 SD) was found in 42% of all patients and in 75% with tubulointerstitial disease. Twelve patients with nephrotic syndrome and two with systemic lupus erythematosus, all of whom were receiving prednisone therapy and had a serum creatinine level less than 1.0 mg/dl, and three treated with anticonvulsants had significant demineralization. Severe demineralization (greater than -3 SD) was found in four rachitic patients with tubulointerstitial disease. Normal mineralization was present in 32 patients with various primary glomerular diseases, seven of whom had a serum creatinine level greater than 1.5 mg/dl. BMC declined with daily prednisone therapy but increased with alternate-day dosage in seven patients. This study suggests that demineralization is more common in patients with tubulointerstitial disease and in patients with primary glomerular disease who are receiving prednisone (16 patients) or anticonvulsants. Photon absorptiometry appeared more useful than conventional radiographic evaluation in assessing skeletal involvement in childhood renal disease.
Triamidetriamine Bearing Macrobicyclic and Macrotricyclic Ligands: Potential Applications in the Development of Copper-64 Radiopharmaceuticals (2013)

A versatile and straightforward synthetic approach is described for the preparation of triamide bearing analogues of sarcophagine hexaazamacrobicyclic cage ligands without the need for a templating metal ion. Reaction of 1,1,1-tris(aminoethyl)ethane (tame) with 3 equiv of 2-chloroacetyl chloride, yields the tris(α-chloroamide) synthetic intermediate 6, which when treated with either 1,1,1-tris(aminoethyl)ethane or 1,4,7-triazacyclononane furnished two novel triamidetriamine cryptand ligands (7 and 8 respectively). The Co(III) and Cu(II) complexes of cryptand 7 were prepared; however, cryptand 8 could not be metalated. The cryptands and the Co(III) complex 9 have been characterized by elemental analysis, (1)H and (13)C NMR spectroscopy, and X-ray crystallography. These studies confirm that the Co(III) complex 9 adopts an octahedral geometry with three facial deprotonated amido-donors and three facial amine donor groups. The Cu(II) complex 10 was characterized by elemental analysis, single crystal X-ray crystallography, cyclic voltammetry, and UV-visible absorption spectroscopy. In contrast to the Co(III) complex (9), the Cu(II) center adopts a square planar coordination geometry, with two amine and two deprotonated amido donor groups. Compound 10 exhibited a quasi-reversible, one-electron oxidation, which is assigned to the Cu(2+/3+) redox couple. These cryptands represent interesting ligands for radiopharmaceutical applications, and 7 has been labeled with (64)Cu to give (64)Cu-10. This complex showed good stability when subjected to L-cysteine challenge whereas low levels of decomplexation were evident in the presence of L-histidine.
Cellular Mechanisms Involved in Protection Against Influenza Virus Infection in Transgenic Mice Expressing a TCR Receptor Specific for Class II Hemagglutinin Peptide in CD4+ and CD8+ T Cells (1998)

Mice transgenic for a TCR that recognizes peptide110-120 of hemagglutinin of PR8 influenza virus in the context of MHC class II I-Ed molecules express the transgenes in both CD4+ and CD8+ T cells. We have found that these TCR-hemagglutinin (TCR-HA) transgenic mice display a significantly increased resistance to the primary infection with PR8 virus compared with the wild-type mice. The TCR-HA transgenic mice mounted significant MHC type II and enhanced MHC type I-restricted cytotoxicity as well as increased cytokine responses in both spleen and lungs after infection with PR8 virus. In contrast, the primary humoral response against PR8 virus was not significantly different from that of the wild-type mice. In vivo depletion and adoptive cell transfer experiments demonstrated that both CD4+ and CD8+ TCR-HA+ T cell subsets were required for the complete clearance of pulmonary virus following infection with a dose that is 100% lethal in wild-type mice. Whereas CD4+ TCR-HA+ T cells were necessary for effective activation and local recruitment of CD8+ T cells, CD8+ TCR-HA+ T cells showed a Th1-biased pattern and MHC type II-restricted cytotoxicity. However, in the absence of in vivo expression of MHC type I molecules on the infected cells, the protection conferred by the TCR-HA+ T cells was impaired, indicating that the enhanced MHC class I-restricted cytotoxicity due to TCR-HA+ CD4+ Th cells was a critical element for clearance of the pulmonary virus by the transgenic mice.
Detection of defects in as manufactured GFRP–GFRP and CFRP–CFRP composite bonded joints using chirped fibre Bragg grating sensors (2009)

Chirped fibre Bragg grating (CFBG) sensors have been embedded in composite coupons which have been used to form one half of single lap bonded joints. The bonded joints have been made with deliberately included defects, consisting of either a PTFE insert or an air gap, and the sensors have been used to detect the presence and location of the defects. The experimental results, and the modelling, show that defects in both GFRP-GFRP joints and CFRP-CFRP joints can be detected by the embedded CFBG sensors, though it is easier to detect defects in the lower stiffness (GFRP) joints. &lt;br/&gt;
Phenome-wide association studies across large population cohorts support drug target validation (2018)

Phenome-wide association studies (PheWAS) have been proposed as a possible aid in drug development through elucidating mechanisms of action, identifying alternative indications, or predicting adverse drug events (ADEs). Here, we select 25 single nucleotide polymorphisms (SNPs) linked through genome-wide association studies (GWAS) to 19 candidate drug targets for common disease indications. We interrogate these SNPs by PheWAS in four large cohorts with extensive health information (23andMe, UK Biobank, FINRISK, CHOP) for association with 1683 binary endpoints in up to 697,815 individuals and conduct meta-analyses for 145 mapped disease endpoints. Our analyses replicate 75% of known GWAS associations (P &amp;lt; 0.05) and identify nine study-wide significant novel associations (of 71 with FDR &amp;lt; 0.1). We describe associations that may predict ADEs, e.g., acne, high cholesterol, gout, and gallstones with rs738409 (p.I148M) in PNPLA3 and asthma with rs1990760 (p.T946A) in IFIH1. Our results demonstrate PheWAS as a powerful addition to the toolkit for drug discovery.
Controlled Growth from ZnS Nanoparticles to ZnS–CdS Nanoparticle Hybrids with Enhanced Photoactivity (2014)

Chalcogenide nanostructures and nanocomposites have been the focus of semiconductor nanomaterial research due to their remarkable optoelectronic and photocatalytic properties and potential application in photodegrading enviromental pollutions. However, currently available synthesizing methods tend to be costly and inefficient. In this paper, we propose a facile two‐step solution‐phase method to synthesize well‐defined monodisperse ZnS–CdS nanocomposites. The morphology and size of ZnS nanoparticles can be easily controlled by adjusting the amount of the source of sulfur. After surface modification with tiny CdS nanoparticles through natural electrostatic attraction, uniform ZnS–CdS nanocomposites are obtained, which has been further confirmed by transmission electron microscopy (TEM) and energy dispersive spectrometry (EDS). The photocatalytic activities of various ZnS samples and ZnS–CdS nanocomposites have been investigated by degrading Rhodamine B under UV‐light. Compared with pure ZnS nanoparticles and ZnS powders, the as‐obtained ZnS–CdS nanocomposites exhibit excellent photocatalytic performances due to the effective charge separation and increased specific surface area by the attachment of CdS. Moreover, resulting from the effective passivation of surface electronic states, the photoluminescence intensity of the ZnS–CdS nanocomposites is also significantly improved relative to plain ZnS.
Inferring and Learning from Neuronal Correspondences (2015)

We introduce and study methods for inferring and learning from correspondences among neurons. The approach enables alignment of data from distinct multiunit studies of nervous systems. We show that the methods for inferring correspondences combine data effectively from cross-animal studies to make joint inferences about behavioral decision making that are not possible with the data from a single animal. We focus on data collection, machine learning, and prediction in the representative and long-studied invertebrate nervous system of the European medicinal leech. Acknowledging the computational intractability of the general problem of identifying correspondences among neurons, we introduce efficient computational procedures for matching neurons across animals. The methods include techniques that adjust for missing cells or additional cells in the different data sets that may reflect biological or experimental variation. The methods highlight the value harnessing inference and learning in new kinds of computational microscopes for multiunit neurobiological studies.
Hydrogenation properties of KSi and NaSi Zintl phases (2012)

The recently reported KSi-KSiH(3) system can store 4.3 wt% of hydrogen reversibly with slow kinetics of several hours for complete absorption at 373 K and complete desorption at 473 K. From the kinetics measured at different temperatures, the Arrhenius plots give activation energies (E(a)) of 56.0 ± 5.7 kJ mol(-1) and 121 ± 17 kJ mol(-1) for the absorption and desorption processes, respectively. Ball-milling with 10 wt% of carbon strongly improves the kinetics of the system, i.e. specifically the initial rate of absorption becomes about one order of magnitude faster than that of pristine KSi. However, this fast absorption causes a disproportionation into KH and K(8)Si(46), instead of forming the KSiH(3) hydride from a slow absorption. This disproportionation, due to the formation of stable KH, leads to a total loss of reversibility. In a similar situation, when the pristine Zintl NaSi phase absorbs hydrogen, it likewise disproportionates into NaH and Na(8)Si(46), indicating a very poorly reversible reaction.
Injection Locking in Coupled Core Fluxgate Magnetometers: Exploiting Nonlinearity to Enhance Sensitivity to Weak, Low Frequency, Target Magnetic Fields (2013)

The coupled core fluxgate magnetometer (CCFG) is a nonlinear dynamic system that is underpinned by three wound ferromagnetic cores (with primary and secondary windings) electrically coupled in a unidirectional ring configuration. This device exhibits a transition to highly complex behavior when a control parameter is swept through a critical value. The oscillation frequency of CCFG is very sensitive to small changes in the external (i.e., ambient) magnetic field, e.g., those introduced by a target magnetic signal. The CCFG is known to perform quite well in the case of dc target signals. To improve the detection of ac targets, we apply the idea of injection locking (IL) to the CCFG, with a view to lowering the sensor noise-floor at low frequencies where many magnetic target signals of interest are located. An extensive simulation and experimental investigation has been performed; it shows a distinct benefit from the standpoint of reducing the noise-floor in the lower frequency range and therefore enhancing the detectability of a low frequency target magnetic signal which might, otherwise, be buried in the noise. In addition, an interesting variant of conventional IL is presented here; it affords the possibility of even better noise-floor reduction.
Game-Theory Based V2G Coordination Strategy for Providing Ramping Flexibility in Power Systems (2020)

Large-scale integration of renewable generation into power systems invariably affects the system ramping capability. However, the vehicle-to-grid (V2G) concept that allows for using electric vehicles (EVs) as energy storages with the capability of bidirectional energy transfer between the EVs and the grid, can be employed to mitigate the above adverse effect. This paper proposes a game-theory-based V2G coordination strategy that uses EV clusters to improve ramping flexibility in power systems. In the proposed strategy, the V2G concept, representing the interactions between the distribution system operator (DSO) and EV clusters, is formulated as a Stackelberg game. The DSO acts as a leader who decides the charging prices for the buses to which the EV clusters are connected, while the EV clusters simply serve as followers, scheduling their own charging and discharging. This bi-level model is further reduced to a single-level, mixed-integer second-order cone programming (MISOCP) problem based on the Karush-Kuhn-Tucker (KKT) conditions, the strong duality theorem and second-order cone (SOC) relaxation. The performance of the proposed V2G coordination strategy on a modified IEEE 33-bus system connecting EV clusters and PV generations is investigated through simulations, and the results demonstrate that the largest ramp of the system can be reduced by up to 39% when EV clusters are providing flexibility, while the EV clusters can also have greatly reduced charging costs.
An Integrated, Three Wavelength InxGa1−xAs Infrared Detector (1994)

We have fabricated a detector array pixel sensitive to three different selectable infrared wavelengths for focal plane array imaging in applications such as gas spectroscopy and absolute temperature measurements (pyrometry). Since detectors with smaller bandgap which detect longer wavelength also have larger dark current, one can use this pixel to select the detector with the appropriate absorption layer to maximize the quantum efficiency while minimizing the dark current.
Copper—Diamine‐Catalyzed N‐Arylation of Pyrroles, Pyrazoles, Indazoles, Imidazoles, and Triazoles. (2004)

Abstract For Abstract see ChemInform Abstract in Full Text.
Development of a functional model for a master–slave combined manipulator for laparoscopic surgery (2003)

Minimally invasive surgery helps patients by accelerating postoperative recovery. However, its application is impeded because it is necessary for the surgeons performing such surgery to possess surgical skills of a high order. Therefore, a master-slave combined manipulator (MCM) has been proposed as a robotic tool that enhances the surgeon's skill in laparoscopic surgery. The master grip and the slave hand are combined through the manipulator body, and a surgeon can operate the tool near the patient. The slave hand is controlled electrically by the master grip and its position is directly controlled by the surgeon. A prototype model of the MCM has been developed. The functions of the MCM have been verified by basic evaluation tests and the MCM has been used in a preliminary animal experiment. This paper describes the concept, the basic performance and the validation of the MCM.
A novel pilot channel-based estimation method for chip-interleaved MC-CDMA systems (2005)

In wireless mobile communication systems, the channel state information (CSI) is very useful information to optimize the system performance. In this paper, we propose a novel channel estimation method using two consecutive subcarriers (CE-TCS) which is based on pilot channel-based channel estimation (PCCE). The proposed CE-TCS alters the system structure in order to maintain orthogonality between data and pilot channels over two consecutive subcarriers. Contrary to the conventional PCCE, this new CE-TCS can obtain both accurate CSF and diversity gain in a frequency-interleaved multicarrier code division multiple access (MC-CDMA) system. Moreover, contrary to the conventional pilot tone-aided channel estimation (PTCE), CE-TCS need not change pilot pattern. Simulation results verify that the proposed method achieves a gain of about 2dB for a BER of 10/sup -4/ compared to PTCE.
Computational investigation of the binding of a designed peptide to λ light chain amyloid fibril (2021)

Systemic light chain amyloidosis (AL) causes a malignant pathology associated with the formation of amyloid fibrils that deposit in human organs and tissues, leading to dysfunction and severe morbidity. Amyloid fibril-reactive antibodies have been used to remove amyloid from organs and are effective in restoring organ function in patients with AL amyloidosis. Unfortunately, antibodies do not bind amyloid in all AL patients, nor do they efficiently bind many other forms of amyloid. Recently, a synthetic peptide P62 was developed, which binds many forms of systemic amyloidosis and can be further modified and fused to a high-affinity peptide epitope to expand its utility as a novel amyloid immunotherapeutic. However, the molecular-level details of P62-fibril binding mechanisms, critical for future peptide design, are unclear. Here, we combine protein docking, all-atom molecular dynamics simulation and umbrella sampling to study the dynamical interactions between peptide P62 and a structural model of the λ light chain in systemic amyloidosis. We found that P62 only binds to the canonical interface of the fibril where the peptide inserts into the fibril groove and its two termini are more mobile than the helix core. Our results also revealed an important role of the lysine residues of P62 in the binding process by forming initial contacts with aspartic acids on the fibril surface. Collectively, our computational study provided molecular-level insights into the binding mechanism between an amyloid fibril model and peptide P62, which could lay a foundation for rational design of peptides for improved amyloid diagnosis and immunotherapy.