gebhart/patrepeval huggingface dataset:
Supplemental table 1 from Nedd4-Binding Protein 1 and TNFAIP3-Interacting Protein 1 Control MHC-1 Display in Neuroblastoma (2023)

&lt;p&gt;Basemean and fold change scores per indivudual gRNA used in the CRISPR screen resulting in a significant TRUE of FALSE hit in the screen.&lt;/p&gt;
Polypropene product innovation by reactor granule technology (2001)

Continuous fine tuning of both chemistry and architecture of heterogeneous, isospecific MgCl2/TiCl4 catalyst systems for propene polymerization has led to a significant improvement in their performances in terms of activity, stereoselectivity, and capability to control both molecular parameters and morphology of the resulting polymers. As a result, a number of improved/innovative propene-based products has recently been developed that clearly outperform the previously available materials. In particular, a family of reactor-grade polymers has been synthesized including homopolymers and heterophasic copolymers offering, respectively, an unprecedented relationship between fluidity and stiffness and between stiffness and impact strenght, and supersoft polypropene alloys that could not have been achieved even via mechanical blending.
Desorption Ionization (2016)

This document contains recommendations for terminology in mass spectrometry. Development of standard terms dates back to 1974 when the IUPAC Commission on Analytical Nomenclature issued recommendations on mass spectrometry terms and definitions. In 1978, the IUPAC Commission on Molecular Structure and Spectroscopy updated and extended the recommendations and made further recommendations regarding symbols, acronyms, and abbreviations. The IUPAC Physical Chemistry Division Commission on Molecular Structure and Spectroscopy’s Subcommittee on Mass Spectroscopy revised the recommended terms in 1991 and appended terms relating to vacuum technology. Some additional terms related to tandem mass spectrometry were added in 1993 and accelerator mass spectrometry in 1994. Owing to the rapid expansion of the field in the intervening years, particularly in mass spectrometry of biomolecules, a further revision of the recommendations has become necessary. This document contains a comprehensive revision of mass spectrometry terminology that represents the current consensus of the mass spectrometry community.
2D Materials for Skin‐Mountable Electronic Devices (2021)

Skin-mountable devices that can directly measure various biosignals and external stimuli and communicate the information to the users have been actively studied owing to increasing demand for wearable electronics and newer healthcare systems. Research on skin-mountable devices is mainly focused on those materials and mechanical design aspects that satisfy the device fabrication requirements on unusual substrates like skin and also for achieving good sensing capabilities and stable device operation in high-strain conditions. 2D materials that are atomically thin and possess unique electrical and optical properties offer several important features that can address the challenging needs in wearable, skin-mountable electronic devices. Herein, recent research progress on skin-mountable devices based on 2D materials that exhibit a variety of device functions including information input and output and in vitro and in vivo healthcare and diagnosis is reviewed. The challenges, potential solutions, and perspectives on trends for future work are also discussed.
Positioning Energy-Neutral Devices: Technological Status and Hybrid RF-Acoustic Experiments (2022)

The digital transformation is exciting the uptake of Internet-of-Things technologies, and raises the questions surrounding our knowledge of the positions of many of these things. A review of indoor localization technologies summarized in this paper shows that with conventional RF-based techniques, a significant challenge exists in terms of achieving good accuracy with a low power consumption at the device side. We present hybrid RF-acoustic approaches as an interesting alternative: the slow propagation speed of sound allows for accurate distance measurements, while RF can easily provide synchronization, data, and power to the devices. We explain how the combination of adequate signaling realizing a late wake-up of the devices with backscattering could position energy-neutral devices. Experiments in a real-life testbed confirmed the potential 10 cm-accuracy based on RF-harvested energy. Nonetheless, these also expose open challenges to be resolved in order to achieve accurate 3D positioning.
Degradation of maternal cdc25c during the maternal to zygotic transition is dependent upon embryonic transcription* (2001)

To gain a better understanding of the molecular differences that may contribute to cleavage arrest and the poorer development associated with laboratory produced embryos, a series of experiments were conducted to quantitate the message levels of the cell cycle controller cdc25c, over the maternal to zygotic transition (MZT) in 4-cell in vivo- and in vitro-derived porcine embryos. The experiments were designed to measure both maternal and embryonic derived cdc25c transcripts by quantitative reverse transcription-competitive polymerase chain reaction (RT-cPCR), determine the point of the transition to zygotic genome activation, and study the interaction between initial embryonic transcription and maternal cdc25c degradation. Analysis of in vivo- and in vitro-derived embryos revealed no difference in cdc25c message level for any of the times P4CC (P > 0.05). Comparison of control embryos from 5- to 33-hr P4CC revealed a reduction in transcript quantities in the 10-hr P4CC group that was maintained at later time points (P < 0.05). Embryos cultured in the RNA polymerase inhibitor, alpha-amanitin, from cleavage to 5-, 10-, 18-, 25-, or 33-hr P4CC displayed no difference in cdc25c levels when compared to controls at similar time points (P > 0.05). However, if embryos were first exposed to alpha-amanitin after 18-hr P4CC with this treatment continuing to 33 hr, the levels of cdc25c transcript were reduced (P < 0.04) when compared to those embryos that were first exposed to the inhibitor at either 5- or 10-hr P4CC. This finding and the comparison of these same embryos to the 0-33-hr alpha-amanitin and control groups allowed us to conclude that cdc25c transcription began between 10- and 18-hr P4CC, with the degradation of maternal cdc25c message dependent on transcriptional initiation.
Non–Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications (2017)

Purpose To create a radiogenomic map linking computed tomographic (CT) image features and gene expression profiles generated by RNA sequencing for patients with non-small cell lung cancer (NSCLC). Materials and Methods A cohort of 113 patients with NSCLC diagnosed between April 2008 and September 2014 who had preoperative CT data and tumor tissue available was studied. For each tumor, a thoracic radiologist recorded 87 semantic image features, selected to reflect radiologic characteristics of nodule shape, margin, texture, tumor environment, and overall lung characteristics. Next, total RNA was extracted from the tissue and analyzed with RNA sequencing technology. Ten highly coexpressed gene clusters, termed metagenes, were identified, validated in publicly available gene-expression cohorts, and correlated with prognosis. Next, a radiogenomics map was built that linked semantic image features to metagenes by using the t statistic and the Spearman correlation metric with multiple testing correction. Results RNA sequencing analysis resulted in 10 metagenes that capture a variety of molecular pathways, including the epidermal growth factor (EGF) pathway. A radiogenomic map was created with 32 statistically significant correlations between semantic image features and metagenes. For example, nodule attenuation and margins are associated with the late cell-cycle genes, and a metagene that represents the EGF pathway was significantly correlated with the presence of ground-glass opacity and irregular nodules or nodules with poorly defined margins. Conclusion Radiogenomic analysis of NSCLC showed multiple associations between semantic image features and metagenes that represented canonical molecular pathways, and it can result in noninvasive identification of molecular properties of NSCLC. Online supplemental material is available for this article.
Realization of complex conjugate media using pseudo-Hermiticity (2019)

Pseudo-Hermitian systems possessing an antilinear symmetry can exhibit a real spectrum in the symmetry-exact phase. Here we show that to achieve pseudo-Hermiticity in photonic crystals, the average non-Hermiticity strength within the unit cell for the eigenstates in a particular frequency range must be zero. We show that this condition is satisfied in non-parity-time (PT)-symmetric photonic crystals carrying Dirac-like cone dispersions and that such systems possess a ring of exceptional points on the real frequency axis. We demonstrate that in the long wavelength limit, such non-Hermitian photonic crystals actually behave like the so-called complex conjugate media whose refractive index is real but whose permittivity and permeability are complex numbers.
IPFA 2011 ABSTRACT SUBMISSION (2011)

Dynamic Laser Stimulation is now widely used for soft defect issues and is generally based on the study of device under test functionality (pass or fail). Automatic Test Equipments (ATE) are able to collect a lot of electrical parameters about device under test status but actually only the pass/fail is exploited and mapped has function of the laser beam position. Multi variation mapping (MVM) for Dynamic Laser Stimulation analysis gives the possibility to get all the data in same time than pass/fail and is able in one acquisition to give one mapping per data. Therefore MVM for Dynamic Laser Stimulation analysis offers the unique opportunity of collecting in one scan all the data necessary for a deep integrated circuit analysis.
To Develop Human-like Automated Driving Strategy Based on Cognitive Construction: Appraisal and Perspective (2020)

Automated driving (AD) aims at human-level intelligence and good cooperation with humans. Therefore, it is necessary to consider the characteristics of human behavior and intelligence. Indeed, researchers have attempted to develop human-like AD strategies. However, there is no quantitative definition of human-like strategies. Meanwhile, the existing strategies cannot yet be applied in extensive scenarios well. In this paper, we look for inspiration from human intelligence and propose a general human-like AD solution. Specifically, we first summarize and classify driver behavior models, which are quantitative descriptions of the driver's natural characteristics. Among the existing methods, models based on cognitive process are considered to be advantageous in inspiring us to develop human-like AD strategies. Secondly, we summarize specific cognitive characteristics during driving and come up with three critical rules. The extensive evidence of these rules is collected from various disciplines, covering behavioral, cognitive, and neural layers. Finally, after a brief review of cognitive architecture, we propose a cognitive architecture dedicated to driving. We illustrate the functions of modules and the interaction among modules. This architecture can already provide insightful ideas for end-to-end AD designs. After further realization, it can help define the human-like characteristics and even work as human-like AD strategies.
The thermal rating of metallized film capacitors under pulse conditions (1974)

Simple expressions are derived for the power dissipation in metallized film capacitors under some common pulse current conditions. Using these, the sinusoidal current ratings may be used to estimate the suitability of the capacitors for pulse applications. Tables are given to facilitate the use of the results.
Robust Differentiable SVD (2021)

Eigendecomposition of symmetric matrices is at the heart of many computer vision algorithms. However, the derivatives of the eigenvectors tend to be numerically unstable, whether using the SVD to compute them analytically or using the Power Iteration (PI) method to approximate them. This instability arises in the presence of eigenvalues that are close to each other. This makes integrating eigendecomposition into deep networks difficult and often results in poor convergence, particularly when dealing with large matrices. While this can be mitigated by partitioning the data into small arbitrary groups, doing so has no theoretical basis and makes it impossible to exploit the full power of eigendecomposition. In previous work, we mitigated this using SVD during the forward pass and PI to compute the gradients during the backward pass. However, the iterative deflation procedure required to compute multiple eigenvectors using PI tends to accumulate errors and yield inaccurate gradients. Here, we show that the Taylor expansion of the SVD gradient is theoretically equivalent to the gradient obtained using PI without relying in practice on an iterative process and thus yields more accurate gradients. We demonstrate the benefits of this increased accuracy for image classification and style transfer.
First Synthesis of Dodecasubstituted Porphycenes (2011)

The synthesis of dodecasubstituted porphycenes has not been reported, to date. Herein, the preparation of tetramethyloctaethylporphycene by a McMurry-type coupling of 3,3',4,4'-tetraethyl-5,5'-diformyl-2,2'-bipyrrole was attempted at first, but dodecasubstituted porphycene was not successfully obtained and only pyrrolocyclophene was obtained. The structure of the pyrrolocyclophene was determined by (1)H NMR spectroscopy, FAB MS, and X-ray crystal-structure analysis. The pyrrolocyclophene was not successfully oxidized to porphycene. Then, the McMurry-type coupling of bicyclo[2.2.2]octadiene (BCOD)-fused 5,5'-diacyl-2,2'-bipyrroles was performed and tetra-meso-octa-β-substituted (dodecasubstituted) porphycenes were successfully obtained for the first time. The structures were determined by (1)H NMR spectroscopy and X-ray crystal-structure analysis. The crystal structures and NMR spectra were compared carefully with octasubstituted porphycenes, and there was a good correlation between the position of the substituents, the N1−−N2 and N1−−N4 distances of the porphycene inner nitrogen atoms, and NMR chemical shifts of the inner NH protons, which expressed the strength of N−−H⋅⋅⋅N hydrogen bonding between N1 and N2. These results suggested that the BCOD structure was relatively compact compared with common alkyl groups and that was why the dodecasubstituted porphycenes were available this time. UV/Vis absorption and fluorescence properties are also discussed.
Design considerations for high-voltage high-power full-bridge zero-voltage-switched PWM converter (1990)

A steady-state analysis is presented with complete characterization of the converter operation. A small-signal model of the converter is established. The design procedures based on the analysis are presented and the various losses in the circuit assessed. Critical design considerations for a high-power, high-voltage application are analyzed. The results of the analysis are verified using a high-voltage. 2 kW prototype.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Role of the pro-inflammatory cytokines tumor necrosis factor-alpha, interleukin-1 beta, interleukin-6 and interleukin-8 in the pathogenesis of the otitis media with effusion. (2003)

Inflammation in the middle ear mucosa, caused usually by bacterial and viral pathogens, is the primary event in the middle ear predisposing the development of otitis media with effusion (OME). Numerous inflammatory mediators have been identified in OME. However, cytokines play a central role as initiators, mediators and regulators of middle ear inflammation and subsequent molecular-pathological processes in middle ear tissues, leading to histopathological changes in the middle ear cavity and the pathogenesis of OME. In this article, we aim to present an overview of current research developments in the pro-inflammatory cytokine involvement in the aetiology of otitis media with effusion.
Supplementary Table S4 from Anagrelide for Gastrointestinal Stromal Tumor (2023)

&lt;p&gt;Supplementary Table S4. miRNA expression, mRNA expression, and associated pathways perturbed in the GIST882 cell line after anagrelide treatment.&lt;/p&gt;
Porphyrins and Metalloporphyrins as Receptor Models in Molecular Recognition (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
Pyrolysis-Based Material Recovery from Molding Resin for Electronic Parts (1998)

Pyrolysis-based technology for the epoxy resin compounds (molding resin) used for molding electronic components has been studied for the purpose of recovering useful materials and reusing them. The molding resin contains silica filler (70–85% by weight) and flame retardant consisting of bromine compounds and antimony oxides. This study has clarified those pyrolysis conditions best suited to reduction of the impurities (carbon, antimony, and ionic substances) in the recovered silica filler. This has contributed to the development of a practical pyrolysis technology in which a roller kiln-type furnace is used to recover high-purity silica filler. The recovered silica was sufficiently pure to be employed as an inorganic filler in epoxy resin compounds to be used as cast-insulating materials and original molding resins. The combustion exhaust gas generated in the pyrolysis of the molding resin has been successfully treated by a secondary combustion method that decomposed organic bromine compounds in the gas to a safe level, and it converted antimony bromides to antimony oxides, which could then be collected by a dry recovery process at a useful purity.
ChemInform Abstract: Application of Enzymic Baeyer‐Villiger Oxidations of 2‐Substituted Cycloalkanones to the Total Synthesis of (R)‐(+)‐Lipoic Acid. (1995)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Lateral Solid-Phase Epitaxy of Si Induced by Focused Ion Beams (1987)

Thin 200-nm-thick Si crystals were grown in Si layers amorphized with 800-keV As 2+ ions by inducing lateral solid-phase epitaxy at 500°C with a 140-keV Si 2+ psuedo-linear ion beam formed by scanning a point-focused beam at 5 kHz. It is shown that reduction of dose rate of the ion beam is crucially important to induce the epitaxy because the amount of damage produced by the ions significantly increases with the dose rate and even amorphization occurs at a higher dose rate.
CORIN KneeTec DeepDishTM: Functional outcomes after a follow-up of 12 months and comparison with the STRYKER Triathlon®PS (2022)

Several competing concepts of anteroposterior stabilization have been developed for total knee arthroplasty (TKA), with an overall great success despite some differences in terms of clinical or radiological outcomes. The CORIN KneeTec DeepDish TM is a novel mobile-bearing implant, stabilized with an ultra-congruent deep-dish poly- ethylene insert. The aim of the present study was to report clinical and radiological outcomes of a series of patients who received the KneeTec DeepDish TM after a follow-up of 12 months, and to compare them to those of a comparable series of patients who received the STRYKER Triathlon ® posterior- stabilized. This was a retrospective comparative cohort study (level of evidence III). Demographic data, radiographic data and range of motion (ROM), as well the International Knee Society score and Oxford Knee Score were collected pre-operatively, and after a follow-up of 12 months. 106 KneeTec DeepDish TM and 80 Triathlon ® PS were evaluated at follow-up. Patients who received the KneeTec DeepDish TM had significant improvement in ROM, radiographic and clinical outcomes. There were no significant differences between the cohorts in terms of ROM, radiographic and clinical outcomes, as well as antero-posterior stability. This study is the first to report the 12-month outcomes of the CORIN KneeTec DeepDish TM. The novel KneeTec DeepDish TM achieved comparable ROM, radiographic and clinical outcomes to the Triathlon ® PS after 12 months. Further studies will be necessary to evaluate the mid- to long-term outcomes of the KneeTec DeepDish TM .
Advances toward reliable high density Cu-Cu interconnects by Cu-SiO2 direct hybrid bonding (2014)

Cu-SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> direct hybrid bonding is considered as one of the most promising approaches for matching the needs of three dimensional integrated circuits (3D-IC). In this paper we present the results of a complete morphological, electrical and reliability study conducted on four-layer copper structures realized by Cu-SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> direct hybrid bonding. Ultra-fine 7 μm pitch, 3 μm × 3 μm pads daisy chains with up to 30 160 connections are bonded with submicron accuracy, matching the interconnection needs in upcoming 3D circuits. A focus is paid on the influence of the temperature of annealing on the bonding quality and electrical performances. Thanks to SEM, FIB/SEM tomography, AFM, TEM and TEM-EDX analysis, the morphology of the bonded structures is described. Electrical parametric tests exhibit very low resistance structures, with high functional yields and low variability. State-of-the-art contact resistivity is obtained for 200 and 400 °C treatments. Unbiased HAST, temperature cycling and temperature storage tests demonstrate excellent reliability performances. Finally, an electromigration resistance comparative study is conducted on bonded copper lines with TaN/Ta and TiN diffusion barriers.
Automatic acceleration of Numpy applications on GPUs and multicore CPUs (2019)

Frameworks like Numpy are a popular choice for application developers from varied fields such as image processing to bio-informatics to machine learning. Numpy is often used to develop prototypes or for deployment since it provides efficient implementation for operations involving arrays. Such an approach requires every operation to be executed eagerly. The result of each operation needs to be stored in memory which increases the memory footprint of the application. It also increases the bandwidth requirements since all uses must read from this memory. We propose an approach that records the sequence of Numpy operations for defered execution. When the values of an array are needed, for example when the values are stored to disk or displayed on screen, the sequence of operations required to compute these value are compiled into a function and executed. This removes the need to store/load intermediates in slow memory, resulting in better performance. In cases where the library implementation is more efficient (like matrix-matrix multiply), those are used instead. The approach also allows us to seamlessly target both multicore CPUs and NVIDIA GPUs, thereby porting the Numpy application to these architectures without changing the user program. The benefit of the approach is evaluated by targeting computation samples from various domains and on average on order of magnitude performance improvement over Numpy is observed.