gebhart/patrepeval huggingface dataset:
Analysis of Human‐robot Interaction at the DARPA Robotics Challenge Trials (2015)

In December 2013, the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge (DRC) Trials were held in Homestead, Florida. The DRC Trials were designed to test the capabilities of humanoid robots in disaster response scenarios with degraded communications. Each team created their own interaction method to control their robot, either the Boston Dynamics Atlas robot or a robot built by the team itself. Of the 15 competing teams, eight participated in our study of human‐robot interaction. We observed the participating teams from the field (with the robot) and in the control room (with the operators), noting many performance metrics, such as critical incidents and utterances, and categorizing their interaction methods according to the number of operators, control methods, and amount of interaction. We decomposed each task into a series of subtasks, different from the DRC Trials official subtasks for points, to gain a better understanding of each team's performance in varying complexities of mobility and manipulation. Each team's interaction methods have been compared to their performance, and correlations have been analyzed to understand why some teams ranked higher than others. We discuss lessons learned from this study, and we have found in general that the guidelines for human‐robot interaction for unmanned ground vehicles still hold true: more sensor fusion, fewer operators, and more automation lead to better performance.
Context‐aware environments: from specification to implementation (2007)

Abstract: This paper deals with the problem of implementing a context model for a smart environment. The problem has already been addressed several times using many different data‐ or problem‐driven methods. In order to separate the modelling phase from implementation, we first represent the context model by a network of situations. Then, different implementations can be automatically generated from this context model depending on user needs and underlying perceptual components. Two different implementations are proposed in this paper: a deterministic one based on Petri nets and a probabilistic one based on hidden Markov models. Both implementations are illustrated and applied to real‐world problems.
ChemInform Abstract: Novel Tricyclic Inhibitors of IKK2: Discovery and SAR Leading to the Identification of 2‐Methoxy‐N‐((6‐(1‐methyl‐4‐(methylamino)‐1,6‐dihydroimidazo [4,5‐d]pyrrolo[2,3‐b]pyridin‐7‐yl)pyridin‐2‐yl)methyl)acetamide (BMS‐066). (2012)

Abstract The title compound (I) demonstrates high in vitro potency, acceptable pharmacokinetic and physicochemical properties.
Phase 1 study of lenzilumab, a recombinant anti–human GM-CSF antibody, for chronic myelomonocytic leukemia (2020)

In this phase 1 trial, inhibition of granulocyte-macrophage colony-stimulating factor (GM-CSF) was associated with clinically meaningful responses in 5 of 15 patients with relapsed or refractory chronic myelomonocytic leukemia (CMML). Preliminary data suggest that this approach may be tractable in CMML bearing activating NRAS mutations.
Recognizing Faces of Moving People by Hierarchical Image-Set Matching (2007)

This paper proposes a novel method for recognizing faces in a cluster of moving people. In this task, there are two problems caused by motion, which are occlusions, and changes in facial pose and illumination. Multiple cameras are used to acquire near-frontal faces to avoid occlusions and profile faces. The hierarchical image-set matching (HISM) creates a distribution for each individual by integrating a set of face images of the same individual acquired from the multiple cameras. By adopting a method for comparing between test and training distributions in identification, variation in pose and illumination is alleviated, and good recognition accuracy can be obtained. Experimental results using video sequences containing 349 people show that the proposed method achieves high recognition performance compared with conventional methods, which use frame-by-frame identification and a distribution obtained from a single camera.
Figure S2 from Phase I Dose-Escalation and -Expansion Study of Telisotuzumab (ABT-700), an Anti–c-Met Antibody, in Patients with Advanced Solid Tumors (2023)

&lt;p&gt;CEA response over time in a 47-year-old patient with GEC responding to telisotuzumab&lt;/p&gt;
Strategies for Patterning Silicon Nanostructures with Diblock Copolymers, in View of Application to Microelectronics and Optoelectronics (2011)

International audience
Impact of shrinking measurement error budgets on qualification metrology sampling and cost (2014)

When designing an experiment to assess the accuracy of a tool as compared to a reference tool, semiconductor metrologists are often confronted with the situation that they must decide on the sampling strategy before the measurements begin. This decision is usually based largely on the previous experience of the metrologist and the available resources, and not on the statistics that are needed to achieve acceptable confidence limits on the final result. This paper shows a solution to this problem, called inverse TMU analysis, by presenting statistically-based equations that allow the user to estimate the needed sampling after providing appropriate inputs, allowing him to make important “risk vs. reward” sampling, cost, and equipment decisions. Application examples using experimental data from scatterometry and critical dimension scanning electron microscope (CD-SEM) tools are used first to demonstrate how the inverse TMU analysis methodology can be used to make intelligent sampling decisions before the start of the experiment, and then to reveal why low sampling can lead to unstable and misleading results. A model is developed that can help an experimenter minimize the costs associated both with increased sampling and with making wrong decisions caused by insufficient sampling. A second cost model is described that reveals the inadequacy of current TEM (Transmission Electron Microscopy) sampling practices and the enormous costs associated with TEM sampling that is needed to provide reasonable levels of certainty in the result. These high costs reach into the tens of millions of dollars for TEM reference metrology as the measurement error budgets reach angstrom levels. The paper concludes with strategies on how to manage and mitigate these costs.
Aeration‐dependent changes in composition of the quinone pool in Escherichia coli (1997)

The aeration-dependent changes in content of various quinones in Escherichia coli were found to be unaffected by a prokaryotic translation inhibitor chloramphenicol. In addition, this process was shown to be completely intact in cells with mutated fnr, arc and appY loci. It is assumed that E. coli possesses a special system of oxygen-dependent post-transcriptional regulation of the quinone biosynthetic pathways.
An Analytical Model for the Transient Rolling Resistance Behavior of Tires (1999)

Abstract The rolling resistance of tires has received increased attention as automakers and consumers seek to improve fuel economy. Standard rolling resistance tests are currently performed to characterize steady state rolling resistance. The transient rolling resistance behavior is also of interest, but requires more elaborate and more expensive testing. This paper presents a theory to predict the transient response of rolling resistance to changes in velocity, from empirical data generated at steady state. The current model neglects the effect of changes in inflation pressure. A general relationship is derived for an arbitrary velocity history. The special case for instantaneous velocity histories is investigated. The model is then compared with experimental results. Finally, we use the model to predict transient rolling resistance results for coast down testing, and a simulated urban driving cycle. The model provides a simple and effective way to determine transient tire rolling resistance from steady state test results. This may reduce the need for transient testing in the future.
Control of mammalian brain ageing by the unfolded protein response transcription factor XBP1 (2020)

Abstract Brain ageing is the main risk factor to develop dementia and neurodegenerative diseases, associated with a decay in the buffering capacity of the proteostasis network. We investigated the significance of the unfolded protein response (UPR), a major signaling pathway to cope with ER stress, to the functional deterioration of the brain during aging. Genetic disruption of the ER stress sensor IRE1α accelerated cognitive and motor decline during ageing. Exogenous bolstering of the UPR by overexpressing an active form of the UPR transcription factor XBP1 restored synaptic and cognitive function, in addition to reducing cell senescence. Proteomic profiling of hippocampal tissue indicated that XBP1s expression attenuated age-related alterations to synaptic function and pathways linked to neurodegenerative diseases. Overall, our results demonstrate that strategies to manipulate the UPR in mammals may sustain healthy brain ageing.
High-Resolution 17O NMR Spectroscopy of Structural Water (2019)

The importance of studying site-specific interactions of structurally similar water molecules in complex systems is well known. We demonstrate the ability to resolve four distinct bound water environments within the crystal structure of lanthanum magnesium nitrate hydrate via <sup>17</sup>O solid state nuclear magnetic resonance (NMR) spectroscopy. Using high-resolution multidimensional experiments at high magnetic fields (18.8-35.2 T), each individual water environment was resolved. The quadrupole coupling constants and asymmetry parameters of the <sup>17</sup>O of each water were determined to be between 6.6 and 7.1 MHz, 0.83 and 0.90, respectively. The resolution of the four unique, yet similar, structural waters within a hydrated crystal via <sup>17</sup>O NMR spectroscopy demonstrates the ability to decipher the unique electronic environment of structural water within a single hydrated crystal structure.
Endothelial cell microparticles act as centers of matrix metalloproteinsase‐2 (MMP‐2) activation and vascular matrix remodeling (2011)

Endothelial cell (EC)-derived microparticles (MPs) are small membrane vesicles associated with various vascular pathologies. Here, we investigated the role of MPs in matrix remodeling by analyzing their interactions with the extracellular matrix. MPs were shown to bind preferentially to surfaces coated with matrix molecules, and MPs bound fibronectin via integrin α(V) . MPs isolated from EC-conditioned medium (Sup) were significantly enriched for matrix-altering proteases, including matrix metalloproteinases (MMPs). MPs lacked the MMP inhibitors TIMP-1 and TIMP-2 found in the Sup and, while Sup strongly inhibited MMP activities but MPs did not. In fact, MPs were shown to bind and activate both endogenous and exogenous proMMP-2. Taken together, these results indicate that MPs interact with extracellular matrices, where they localize and activate MMP-2 to modify the surrounding matrix molecules. These findings provide insights into the cellular mechanisms of vascular matrix remodeling and identify new targets of vascular pathologies.
Near Wall Resolution Requirements for High-Order FR/CPR Method for Wall-Resolved Large Eddy Simulations (2020)

Abstract This study aims to establish near wall resolution requirements for wall-resolved Large Eddy Simulations (LES) using the Flux Reconstruction / Correction Procedure via Reconstruction (FR/CPR) method. The FR/CPR method is relatively new and its numerical capabilities for LES are not well established. A high-order unstructured LES solver (GENESIS) based on the FR/CPR approach is used to study two canonical near wall turbulent flow problems. The first problem concerns spatial development of a turbulent flat plate boundary layer. The grid resolution requirement for various polynomial orders is established and the skin-friction and near wall turbulence is compared to theory and Direct Numerical Simulation (DNS) results. The second problem studied is the two-dimensional wall film case of Kacker and Whitelaw (1968, 1969). This is a thermal mixing problem consisting of a two-dimensional jet for various mass flow ratios and plate thicknesses. This study focuses on one of the cases from this data set, corresponding to a thick plate. Well resolved LES simulations show an excellent agreement with measured adiabatic film effectiveness. The effect of polynomial order and grid resolution is investigated and near wall resolution requirements are established.
ChemInform Abstract: Pyrrolidone‐Modified SBA‐15 Supported Au Nanoparticles with Superior Catalytic Properties in Aerobic Oxidation of Alcohols. (2010)

Abstract A novel heterogeneous Au catalyst is prepared and successfully used for the aerobic oxidation of primary and secondary alcohols.
Approximation schemes for scheduling (1997)

We consider the classic scheduling/load balancing problems where there are m identical machines and n jobs, and each job should be assigned to some machine. Traditionally, the assignment of jobs to machines is measured by the makespan (maximum load) i.e., the L{sub {infinity}} norm of the assignment. An {epsilon}-approximation scheme was given by Hochbaum and Shmoys for minimizing the L{sub {infinity}} norm. In several applications, such as in storage allocation, a more appropriate measure is the sum of the squares of the loads (which is equivalent to the L{sub 2} norm). This problem was considered in who showed how to approximate the optimum value by a factor of about 1.04. In fact, a more general measure, which is the L, norm (for any p {ge} 1) t can also be approximated to some constant which may be as large as 3/2. We improve e these results by providing an c-approximation scheme for the general L{sub p} norm (and in particular for the L{sub 2} norm). We also consider the case of restricted assignment of unit jobs where we show how to find in polynomial time, a solution a which is optimal for all norms.
Supplementary fig 2 from A Modified Nucleoside 6-Thio-2′-Deoxyguanosine Exhibits Antitumor Activity in Gliomas (2023)

&lt;p&gt;Supplementary Figure 1. (A-B) Successful labeling of CellTrace Violet for M059K and H4 cells. M059K and H4 cells were labeled with a cell membrane dye CellTrace Violet and verified the success of labeling by FACS. (C-D) Cell viability of M059K and H4 following THIO treatment. M059K and H4 cells were treated with control medium or THIO at 5µM and then determined the cell viability percentage via detecting PSVue643 and PI by FACS. (E-F) Western blot results of time-course and dose-titration experiments in M059K and H4. For the time-course experiment, cells were treated with THIO at 5µM and proteins were tested at 0, 24, 48 and 72 hours. For dose-titration experiments, cells were treated with serious doses of THIO for 72 hours. TMZ functions as control. Actin serves as a loading control. Supplementary Figure 2. (A) Crystal violet staining images for acquired TMZ-resistant (TR) cell lines after treatment. (B) The heatmap of quantification results of the crystal violet images of TR cells. % relative to control. (C) Senescence assay for DBTRG-05MG, M059K and H4 cells following THIO treatment at 1 µM for 7 days, and then fixed and stained using Senescence β-Galactosidase Staining Kit and taken images by microscope. (D-F) Quantification results of senescence assay for DBTRG-05MG, M059K and H4 cells. 7 fields were counted for each group. (G-J) Neurosphere growth curves for T98G, U87MG, 13.0302 and TS-603 treated with or without THIO at 5 µM.&lt;/p&gt;
Biomedical Engineering for Africa (2019)

Health technology innovation in low- and middle-income countries (LMICs), including countries in Africa, falls far short of meeting the healthcare needs of these settings. The result is a heavy reliance on products and technologies imported from industrialised countries that are often not suited to, or sustainable for, LMICs. Appropriate healthcare products for LMICs are best developed in these countries, where local knowledge and understanding of needs, context and available resources may be incorporated into designs and implementation plans. The objectives for enabling health technology development in LMICs include: 1) expanding the base of expertise through research training programmes with a problem-solving focus; 2) stimulating new knowledge, approaches and solutions by enabling innovation; and 3) integrating research communities within and across institutions to build critical mass. The field of biomedical engineering is central to health technology innovation. This book is a response to the need for biomedical engineering capacity in Africa. It is grounded in the African context. It serves as a resource for academics and students in biomedical engineering, for those interested in entering the field in any capacity and for practitioners at every stage of product development. University leaders intent on establishing new biomedical engineering programmes or departments, may draw on the content for guidance on structuring their offerings. The book reaches beyond Africa, as it is relevant to other LMIC settings, and provides insights to guide global health initiatives focused on technology innovation.
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores (2021)

Photonic tensor cores (PTCs) are essential building blocks for optical artificial intelligence (AI) accelerators based on programmable photonic integrated circuits. PTCs can achieve ultra-fast and efficient tensor operations for neural network (NN) acceleration. Current PTC designs are either manually constructed or based on matrix decomposition theory, which lacks the adaptability to meet various hardware constraints and device specifications. To our best knowledge, automatic PTC design methodology is still unexplored. It will be promising to move beyond the manual design paradigm and "nurture" photonic neurocomputing with AI and design automation. Therefore, in this work, for the first time, we propose a fully differentiable framework, dubbed ADEPT, that can efficiently search PTC designs adaptive to various circuit footprint constraints and foundry PDKs. Extensive experiments show superior flexibility and effectiveness of the proposed ADEPT framework to explore a large PTC design space. On various NN models and benchmarks, our searched PTC topology outperforms prior manually-designed structures with competitive matrix representability, 2-30x higher footprint compactness, and better noise robustness, demonstrating a new paradigm in photonic neural chip design. The code of ADEPT is available at https://github.com/JeremieMelo/ADEPT using the https://github.com/JeremieMelo/pytorch-onn (TorchONN) library.
ChemInform Abstract: SURFACE HALIDES OF SILICA. 1. CHLORIDE (1981)

Abstract Die Reaktivitä ten von Oberflächensilanol und ‐siloxangruppen auf SiOz mit chlorierenden Reagenzien werden in einem einfachen Strömungssystem untersucht.
Objektive Bewertung der Spontanmotorik bei gesunden Neugeborenen (2008)

Considering the enormous compound of developmental tests, which on the one hand aim to detect the present stage of a child´s development on the other hand compare it to the same age group and mostly important should enable the observer to make a sincere prediction concerning the prospective developmental status, the observation of spontaneous movements of newborns still represents a small though very important part, since central brain lesions are mostly shown in abnormal spontaneous movements. Up until now, the diagnosis is still based on a visual and thus subjective observation. Trying to find a more objective way to analyse the spontaneous motor activity of newborns the Helmholtz - Intitute developed a tool (ICP Diagnost), which allows the 3- dimensional acquisition of spontaneous movements in newborns, which has been validated and evaluated in this study. Therefore measurements with 11 healthy and 7 affected (infantile cerebral palsy) newborns, regarding the family history, pregnancy, birth and newborn history have been carried out using a standardized setting within the 1./3. and 5. month postpartum. Using a video based 3D motion analysis system (Vicon 370) consisting of 7 infrared cameras with infrared strobes the spontaneous motor activity was recorded. 20 markers placed on predefined body-segments of the infant reflected the infrared light , which was assimilated and converted into 3D movement data. The generated biomechanical model was a full body model. In collaboration with experienced neuropediatrics 35 parameters (velocity, acceleration, range of movement) used during the visual assessment of motor activity and describing the differences between healthy and affected newborns could be extracted from the patient´s 3D movement data. Using the obtained data and a matlab programme (patient classificator) we created 5 evaluation databases and a reliable combination of 8 parameters to match. These databases were used to evaluate the 3 classification systems in ICP Diagnost, regarding sensivity, specificity, predictive value and over all detection rate. In addition detected differences in the spontaneous movements of newborns were evaluated statistically.
Nanofluids Containing Hybrid Sphere/Carbon Nanotube Particles (2007)

Previous studies on nanofluids have focused on spherical or long-fiber particles. In this work, a new type of complex nanoparticles—hybrid sphere/carbon nanotube (CNT) particle, consisting of numerous CNTs attached to an alumina/iron oxide sphere—is proposed for applications in nanofluids. In such hybrid nanoparticles, heat is expected to transport rapidly from one CNT to another through the center sphere and thus leading to less thermal-contact-resistance between CNTs when compared to simple CNTs dispersed in fluids. CNTs have an extremely high thermal conductivity, but thermal resistance between the CNTs and the fluid has limited their performance in the nanofluids. The proposed hybrid sphere/CNT particles are synthesized by a spray pyrolysis followed by catalytic growth of CNTs. The spheres are about 70 nm in diameter in average, and the attached CNTs have a length up to 2μm. These hybrid nanoparticles are dispersed to poly-alpha-olefin with sonication and a small amount of surfactants to form stable nanofluids. The thermal conductivity of the fluids has been measured by a 3ω-wire method over a temperature range 10–90°C. The results indicate that the effective thermal conductivity of the fluids is increased by about 21% at room temperature for particle volume fractions of 0.2%.
Early Diagnosis of Ovarian Carcinoma: Is a Solution in Sight? (2011)

http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11090563/-/DC1.