gebhart/patrepeval huggingface dataset:
Industrial integration of interdigitated back-contact Si solar cells by laser ablation (2011)

Interdigitated back-contact solar cells for high efficiency applications are usually manufactured in R&D laboratories by multiple subsequent lithography steps. Here the patterning by litho-free steps is proposed and implemented. The current status of the small area (2×2cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> and 4×4cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) n-type IBC solar cells integration flow is presented with exclusively laser-based patterning scheme: emitter, metal point contacts and electrode separation. Electrode separation is performed in 2 typical configurations: above emitter region or BSF region, where the 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup> location proofs to be beneficial. The best Suns V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">oc</sub> reaches up to 647 mV and p-FF up to 83%.
Reconstruction-Induced $\varphi_0$ Josephson Effect in Quantum Spin Hall Constrictions (2023)

The simultaneous breaking of time-reversal and inversion symmetry, in connection to superconductivity, leads to transport properties with disrupting scientific and technological potential. Indeed, the anomalous Josephson effect and the superconducting diode effect hold promises to enlarge the technological applications of superconductors and nanostructures in general. In this context, the system we theoretically analyze is a Josephson junction (JJ) with coupled reconstructed topological channels as a link; such channels are at the edges of a two-dimensional topological insulator (2DTI). We find a robust $\varphi_0$ Josephson effect without requiring the presence of external magnetic fields. Our results, which rely on a fully analytical analysis, are substantiated by means of symmetry arguments: Our system breaks both time-reversal symmetry and inversion symmetry. Moreover, the anomalous current increases as a function of temperature. We interpret this surprising temperature dependence by means of simple qualitative arguments based on Fermi's golden rule.
3 × 3 MIMO Fiber–Wireless System in W-Band With WDM/PDM RoF Transmission Capability (2021)

We propose and demonstrate a 3 × 3 full multiple-input multiple-output (MIMO) fiber–wireless system in the W-band with wavelength-division multiplexing (WDM) and polarization-division multiplexing (PDM) radio-over-fiber (RoF) transmission capability. The system is realized using two highly stable RoF links based on the optical self-heterodyne method and PDM transmission in one of the RoF links. We experimentally demonstrate and confirm satisfactory performances for a 3 × 3 MIMO offset quadrature amplitude modulation-based filter-bank multicarrier signal. Total capacities of approximately 110 and 132 Gb/s, corresponding to spectral efficiencies of approximately 8.5 and 10.2 bits/s/Hz, respectively, are achieved for the system using antennas placed in the same and alternately different polarizations, respectively. The system is applicable to WDM and combined WDM/PDM RoF transmissions. It provides a scalable solution for facilitating large-scale MIMO signal transportation and can be a promising solution for future mobile transport and radio access networks in high-frequency bands.
Spectrofluorimetric determination of manzamine A in spiked human urine and plasma. (2003)

The native fluorescence of manzamine A (a biologically active beta-carboline marine-derived alkaloid) has been studied under different conditions. The highest fluorescence intensity was obtained in methanol. Two wavelength settings were found to be suitable for excitation, 280 nm and 340 nm; while lambdamax emission was constant in both cases at 387 nm. The fluorescence intensity at 340/387 nm setting was 1.6 greater than that obtained at 280/387 nm settings. The calibration curves were rectilinear over the range 0.1-2.0 and 0.5-2.5 microg/ml for the two settings, respectively. The detection limits were 0.05 microg/ml (9.1 x 10(-9) M) and 0.1 microg/ml (1.82 x 10(-8) M) at 340/387 nm and 280/387 nm, respectively. The proposed method was applied to the determination of manzamine A in spiked human urine and plasma samples adopting the 340/387 nm wavelength setting, the % recoveries (n = 6) were 99.61 +/- 0.90 and 100.25 +/- 1.63, respectively.
On the species status of the root-knot nematode Meloidogyne ulmi Palmisano & Ambrogioni, 2000 (Nematoda, Meloidogynidae) (2013)

The root-knot nematode Meloidogyne ulmi is synonymised with Meloidogyne mali based on morphological and morphometric similarities, common hosts, as well as biochemical similarities at both protein and DNA levels. M. mali was first described in Japan on Malus prunifolia Borkh.; and M. ulmi in Italy on Ulmus chenmoui W.C. Cheng. Morphological and morphometric studies of their holo- and paratypes revealed important similarities in the major characters as well as some general variability in a few others. Host test also showed that besides the two species being able to parasitize the type hosts of the other, they share some other common hosts. Our study of the esterase and malate dehydrogenase isozyme phenotypes of some M. ulmi populations gave a perfectly comparable result to that already known for M. mali. Finally, phylogenetic studies of their SSU and LSU rDNA sequence data revealed that the two are not distinguishable at DNA level. All these put together, leave strong evidences to support the fact that M. ulmi is not a valid species, but a junior synonym of M. mali. Brief discussion on the biology and life cycle of M. mali is given. An overview of all known hosts and the possible distribution of M. mali in Europe are also presented.
Mucosal Immunization with a Urease B DNA Vaccine Induces Innate and Cellular Immune Responses Against Helicobacter pylori (2006)

In this study, a DNA construct encoding the urease B subunit was assessed for its immune profile and its ability to reduce bacterial colonization in the murine stomach. Our studies suggest that local innate immune responses may play a greater role than previously supposed in limiting H. pylori colonization in the gastric mucosa.
Estimation of Student's Engagement Using a Smart Chair (2018)

In a classroom, it is important for teachers to grasp students' engagement in order to lecture effectively. However, to grasp students' engagement is too difficult in the situation where there are so many students. Therefore, the purpose of this study is to grasp the students' engagement by a chair with a pressure mat, not by teachers. We recorded students' upper body pressure distribution while they were taking e-learning lectures. We recorded 145 lectures in total. Then we extracted 56 features for each lecture, selected proper features and trained classifiers to determine whether he or she was engaged in the lecture. As a result, the average accuracy was 75.2% for student-dependent. This result shows it is possible to predict student's engagement automatically, and it will help teachers to give lectures more effective.
Experimental and theoretical charge density distribution in Pigment Yellow 101 (2015)

The charge density distribution in 2,2'-dihydroxy-1,1'-naphthalazine (Pigment Yellow 101; P.Y.101) has been determined using high-resolution X-ray diffraction and multipole refinement, along with density functional theory calculations. Topological analysis of the resulting densities highlights the localisation of single/double bonds in the central C=N-N=C moiety of the molecule in its ground state. The density in the N-N is examined in detail, where we show that very small differences between experiment and theory are amplified by use of the Laplacian of the density. Quantification of hydrogen bonds highlights the importance of the intramolecular N-H···O interaction, known to be vital for retention of fluorescence in the solid state, relative to the many but weak intermolecular contacts located. However, a popular method for deriving H-bond strengths from density data appears to struggle with the intramolecular N-H···O interaction. We also show that theoretical estimation of anisotropic displacements for hydrogen atoms brings little benefit overall, and degrades agreement with experiment for one intra-molecular contact.
deep unfolding for non-negative matrix factorization with application to mutational signature analysis (2021)

Non-negative matrix factorization (NMF) is a fundamental matrix decomposition technique that is used primarily for dimensionality reduction and is increasing in popularity in the biological domain. Although finding a unique NMF is generally not possible, there are various iterative algorithms for NMF optimization that converge to locally optimal solutions. Such techniques can also serve as a starting point for deep learning methods that unroll the algorithmic iterations into layers of a deep network. Here we develop unfolded deep networks for NMF and several regularized variants in both a supervised and an unsupervised setting. We apply our method to various mutation data sets to reconstruct their underlying mutational signatures and their exposures. We demonstrate the increased accuracy of our approach over standard formulations in analyzing simulated and real mutation data.
Broadband astigmatism-corrected  Czerny–Turner spectrometer (2010)

We report an optical design for a low-cost optics, broadband, astigmatism-corrected practical spectrometer. An off-the-shelf cylindrical lens is used to remove astigmatism over the full bandwidth. Results show that better than 0.1 nm spectral resolution and more than 50% throughput were achieved over a bandwidth of 400 nm centered at 800 nm.
Picosecond Pulse Generation Using Low-Driving-Voltage MZM Driven with Step Recovery Diodes (2009)

We demonstrated synthesis of picosecond pulse train from a continuous-wave laser source using low-driving-voltage Mach-Zehnder modulator (MZM) asymmetrically large-amplitude driven with step-recovery diodes, without using high-power driver amplifiers. 2-GHz, 5.2-ps pulse train was successfully generated.
Induction of a regulatory myeloid program in bacterial sepsis and severe COVID-19 (2020)

A recent estimate suggests that one in five deaths globally are associated with sepsis <sup>1</sup> . To date, no targeted treatment is available for this syndrome, likely due to substantial patient heterogeneity <sup>2,3</sup> and our lack of insight into sepsis immunopathology <sup>4</sup> . These issues are highlighted by the current COVID-19 pandemic, wherein many clinical manifestations of severe SARS-CoV-2 infection parallel bacterial sepsis <sup>5-8</sup> . We previously reported an expanded CD14+ monocyte state, MS1, in patients with bacterial sepsis or non-infectious critical illness, and validated its expansion in sepsis across thousands of patients using public transcriptomic data <sup>9</sup> . Despite its marked expansion in the circulation of bacterial sepsis patients, its relevance to viral sepsis and association with disease outcomes have not been examined. In addition, the ontogeny and function of this monocyte state remain poorly characterized. Using public transcriptomic data, we show that the expression of the MS1 program is associated with sepsis mortality and is up-regulated in monocytes from patients with severe COVID-19. We found that blood plasma from bacterial sepsis or COVID-19 patients with severe disease induces emergency myelopoiesis and expression of the MS1 program, which are dependent on the cytokines IL-6 and IL-10. Finally, we demonstrate that MS1 cells are broadly immunosuppressive, similar to monocytic myeloid-derived suppressor cells (MDSCs), and have decreased responsiveness to stimulation. Our findings highlight the utility of regulatory myeloid cells in sepsis prognosis, and the role of systemic cytokines in inducing emergency myelopoiesis during severe bacterial and SARS-CoV-2 infections.
Data from An Anti–CD22-<i>seco</i>-CBI-Dimer Antibody–Drug Conjugate (ADC) for the Treatment of Non-Hodgkin Lymphoma That Provides a Longer Duration of Response than Auristatin-Based ADCs in Preclinical Models (2023)

&lt;div&gt;Abstract&lt;p&gt;We are interested in developing a second generation of antibody–drug conjugates (ADCs) for the treatment of non-Hodgkin lymphoma (NHL) that could provide a longer duration of response and be more effective in indolent NHL than the microtubule-inhibiting ADCs pinatuzumab vedotin [anti–CD22-vc-monomethyl auristatin E (MMAE)] and polatuzumab vedotin (anti–CD79b-vc-MMAE). Pinatuzumab vedotin (anti–CD22-vc-MMAE) and polatuzumab vedotin (anti–CD79b-vc-MMAE) are ADCs that contain the microtubule inhibitor MMAE. Clinical trial data suggest that these ADCs have promising efficacy for the treatment of NHL; however, some patients do not respond or become resistant to the ADCs. We tested an anti-CD22 ADC with a &lt;i&gt;seco&lt;/i&gt;-CBI-dimer payload, thio-Hu anti–CD22-(LC:K149C)-SN36248, and compared it with pinatuzumab vedotin for its efficacy and duration of response in xenograft models and its ability to deplete normal B cells in cynomolgus monkeys. We found that anti–CD22-(LC:K149C)-SN36248 was effective in xenograft models resistant to pinatuzumab vedotin, gave a longer duration of response, had a different mechanism of resistance, and was able to deplete normal B cells better than pinatuzumab vedotin. These studies provide evidence that anti–CD22-(LC:K149C)-SN36248 has the potential for longer duration of response and more efficacy in indolent NHL than MMAE ADCs and may provide the opportunity to improve outcomes for patients with NHL.&lt;/p&gt;&lt;/div&gt;
A general theory of DC electromagnetic launchers (2015)

The non-linear, transient operation of DC electromagnetic launchers (EMLs) complicates their theoretical understanding and prevents scaling studies and performance comparisons without the aid of detailed numerical models. This paper presents a general theory for DC electromagnetic launchers that has simplified these tasks by identifying critical EML parameters and relationships affecting the EML's voltage, current, and power scaling, as well as its performance and energy conversion efficiency. EML parameters and relationships discussed in this paper include the specific force, the operating mode, the launcher constant, the launcher characteristic velocity, the contact characteristic velocity, the energy conversion efficiency, and the kinetic power and voltage-current scaling relationship. The concepts of the ideal EML, same-scale comparisons, and EML impedance are discussed. This paper defines conditions needed for the EML to operate in the steady-state. A comparison of the general theory with experimental results of several different types of DC (i.e., non-induction) electromagnetic launchers ranging from medium velocity (100's m/s) to high velocity (1000's m/s) is performed. There is good agreement between the general theory and the experimental results.
REAR: Reliable Energy Aware Routing Protocol for Wireless Sensor Networks (2007)

In wireless sensor networks, micro sensor nodes dispersed in real environmental field have a constraint energy capacity, so energy-efficient mechanism for wireless communication on each sensor node is so crucial. Specially, the jobs sending and processing sensing data information from on sensor node to the others are more majority parts than merely sensing some events. Thus, energy-efficient routing protocol in wireless sensor networks is necessary for increasing the network lifetime and is also influenced by many challenging factors in terms of energy, processing, and storage capacities. In this paper, we designed and implemented a reliable energy aware routing (REAR) protocol for wireless sensor networks and evaluated the performance of REAR by comparing with existing routing protocols. REAR considers residual energy capacity of each sensor node in establishing routing paths and supports multi-path routing protocol for reliable data transmission. Furthermore, REAR allows each sensor node to confirm success of data transmission to other sensor nodes by supporting the DATA-ACK oriented packet transmission. Finally, the performance evaluation results show that REAR provides energy-efficiency and reliability related to wireless communication in wireless sensor networks.
Bending and coupling losses in terahertz wire waveguides (2010)

We present an experimental study of several common perturbations of wire waveguides for terahertz pulses. Sommerfeld waves retain significant signal strength and bandwidth even with large gaps in the wire, exhibiting more efficient recoupling at higher frequencies. We also describe a detailed study of bending losses. For a given turn angle, we observe an optimum radius of curvature that minimizes the overall propagation loss. These results emphasize the impact of the distortion of the spatial mode on the radiative bend loss.
Finding Optimal Bayesian Networks (2012)

In this paper, we derive optimality results for greedy Bayesian-network search algorithms that perform single-edge modifications at each step and use asymptotically consistent scoring criteria. Our results extend those of Meek (1997) and Chickering (2002), who demonstrate that in the limit of large datasets, if the generative distribution is perfect with respect to a DAG defined over the observable variables, such search algorithms will identify this optimal (i.e. generative) DAG model. We relax their assumption about the generative distribution, and assume only that this distribution satisfies the {em composition property} over the observable variables, which is a more realistic assumption for real domains. Under this assumption, we guarantee that the search algorithms identify an {em inclusion-optimal} model; that is, a model that (1) contains the generative distribution and (2) has no sub-model that contains this distribution. In addition, we show that the composition property is guaranteed to hold whenever the dependence relationships in the generative distribution can be characterized by paths between singleton elements in some generative graphical model (e.g. a DAG, a chain graph, or a Markov network) even when the generative model includes unobserved variables, and even when the observed data is subject to selection bias.
Asthma, Viruses, and Nitric Oxide (1999)

Over the last two decades there has been a worldwide increase in the morbidity and mortality associated with asthma, a chronic inflammatory disease of the airways. There is a growing body of evidence that suggests there is an association between upper respiratory viral infections, particularly rhinovirus infections, and asthma exacerbations. Virally induced airways hyperreactivity has been associated with elevated numbers of inflammatory cells in the bronchial mucosa. Upon virus infection, respiratory epithelial cells produce proinflammatory cytokines, including IL-6, IL-8, RANTES, and GM-CSF, which could contribute to the increased inflammatory cell recruitment noted in the airways. Whether or not a viral infection triggers an asthma attack may depend upon many factors, including the types of inflammatory cells recruited to the airways, the viral load, and variations in the host antiviral response. There is evidence to support the idea that eosinophils from asthmatic and symptomatic atopic subjects may be primed to respond to chemotactic cytokines produced by infected epithelial cells. Rhinovirus infections may therefore enhance airway eosinophilia in asthmatics, leading to airway hyperresponsiveness and impaired pulmonary function. Nitric oxide is a potent inhibitor of both rhinovirus-induced cytokine production and viral replication and may play an important role in the host response to viral infections. Based upon these observations, we speculate that nitric oxide donors may represent a novel therapeutic approach for the treatment of rhinovirus infections and viral exacerbations of asthma.
Abstract 1875: A novel series of metabolic activators of PKM2 alter oncogene-meditated changes in tumor cell metabolism. (2013)

Abstract Rather than relying on oxidative phosphorylation for the generation of ATP, human tumor cells primarily utilize aerobic glycolysis to metabolize glucose (the Warburg effect). Pyruvate kinase is a metabolic enzyme that converts phosphoenolpyruvate (PEP) to pyruvate, catalyzing the rate-limiting step of glycolysis. The M1 isoform of pyruvate kinase (PKM1) that is the principal isoform in most adult differentiated tissues, while the PKM2 splice variant is the main isoform in embryonic tissues and in all cancer cells. Unlike the M1 splice form (PKM1), which is found in its tetrameric active form in cells, PKM2 is found in cells as an inactive dimer under normal physiological conditions. Tetramerization of PKM2 requires binding of the allosteric activator fructose-1,6-bisphosphate (FBP), an upstream glycolytic intermediate, resulting in a fully active enzyme. Regulation of PKM2 activity in cancer cells may allow glycolytic intermediates to be diverted into other biosynthetic pathways necessary for biomass production. PKM2 expression enhances tumorigenicity of cells while PKM1 expression represses it. This suggests that activators of PKM2 may have anti-tumor properties by forcing PKM2 to act more like PKM1. We have a series of small molecule PKM2 activators that exhibit low nM activation activity in biochemical and cell-based assays. These compounds increase pyruvate kinase activity in cancer cells and lead to an increase in pyruvate and ATP production. Our studies show that PKM2 activators inhibit the growth of lung cancer cell lines in vitro and in vivo and can reverse the metabolic changes induced by oncogenes such as k-Ras and c-Myc in lung cancer cells. The current lead compound was tested in established subcutaneously implanted A549 lung adenocarcinoma xenografts, where we observed a statistically significant 54% decrease in tumor growth, with no observable toxicity. These data suggest that this class of PKM2 activators is effective as tumor cell metabolic regulators with anti-tumor activity for lung cancer and potentially other malignancies. Citation Format: Brigham L. Bahr, Jenny Stevens, Spencer Squire, Christopher Moreno, Lee T. Call, Bret J. Stephens, Alexis Mollard, Steven L. Warner, David J. Bearss. A novel series of metabolic activators of PKM2 alter oncogene-meditated changes in tumor cell metabolism. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1875. doi:10.1158/1538-7445.AM2013-1875
The Dynamic Photometric Stereo Method Using a Multi-Tap CMOS Image Sensor (2018)

The photometric stereo method enables estimation of surface normals from images that have been captured using different but known lighting directions. The classical photometric stereo method requires at least three images to determine the normals in a given scene. However, this method cannot be applied to dynamic scenes because it is assumed that the scene remains static while the required images are captured. In this work, we present a dynamic photometric stereo method for estimation of the surface normals in a dynamic scene. We use a multi-tap complementary metal-oxide-semiconductor (CMOS) image sensor to capture the input images required for the proposed photometric stereo method. This image sensor can divide the electrons from the photodiode from a single pixel into the different taps of the exposures and can thus capture multiple images under different lighting conditions with almost identical timing. We implemented a camera lighting system and created a software application to enable estimation of the normal map in real time. We also evaluated the accuracy of the estimated surface normals and demonstrated that our proposed method can estimate the surface normals of dynamic scenes.