gebhart/patrepeval huggingface dataset:
Application of random threshold neural networks for diagnostics of micro machine tool condition (2002)

Micro equipment based manufacturing requires a higher automation level than traditional manufacturing, because a human operator should be able to supervise the parallel operation of many micro equipment units. We briefly describe the prototypes of micro machine tools and the random threshold neural network classifiers created by us for the experimental investigation of problems on the way to fully automated micro manufacturing. The problems of diagnostics of micro machine tools and machining modes are discussed as well as the results of experiments with the acoustic diagnostics of cutting modes using the random threshold classifier.
To personalize or not to personalize (2008)

In most previous work on personalized search algorithms, the results for all queries are personalized in the same manner. However, as we show in this paper, there is a lot of variation across queries in the benefits that can be achieved through personalization. For some queries, everyone who issues the query is looking for the same thing. For other queries, different people want very different results even though they express their need in the same way. We examine variability in user intent using both explicit relevance judgments and large-scale log analysis of user behavior patterns. While variation in user behavior is correlated with variation in explicit relevance judgments the same query, there are many other factors, such as result entropy, result quality, and task that can also affect the variation in behavior. We characterize queries using a variety of features of the query, the results returned for the query, and people's interaction history with the query. Using these features we build predictive models to identify queries that can benefit from personalization.
Artificial Neural Networks to Solve Forward Kinematics of a Wearable Parallel Robot with Semi-rigid Links (2021)

Wearable robots are designed to provide physical assistance and rehabilitation training. Light-weight designs are desirable for human usage and parallel robots are quite suitable due to low moving inertia. One of the challenges of using wearable parallel robots is to compute the end-effector position/orientation from joint angle measurements, as the forward kinematics problem is computationally difficult. It becomes even more challenging if the kinematic model changes from the nominal model due to deflection of the mechanical members, manufacturing tolerances, or misalignments of the joints between the machine and the user.Artificial neural networks have been used to provide solution of the forward kinematics problem for parallel robots. However, their efficacy has not yet been studied in wearable applications where the linkages of the robots are not fully rigid. In this paper, we conducted a case study to investigate the performance of using neural network models to compute forward kinematics of a wearable robot. Our results show that the performance of neural networks is superior to numerical approaches and produces reasonable solutions even at the boundary of the robot workspace.
Controlling the bandwidth of Bulk Acoustic Wave filter using a decoder designed on 65nm process (2011)

This work presents the feasibility of a new method to reconfigure Bulk Acoustic Wave-Solidly Mounted Resonator (BAW-SMR) filters by adding capacitors in series with transistors to the shunt resonators and by controlling these transistors with a 2to4 decoder. This method is applied to filters operating in the W-CDMA (2.11–2.17 GHz) communication standard. Experimental results show a tuning range of 14MHz, whereas 12MHz of tuning range was achieved in the simulation.
Supplemental Table S1 from An Endothelial Gene Signature Score Predicts Poor Outcome in Patients with Endocrine-Treated, Low Genomic Grade Breast Tumors (2023)

&lt;p&gt;The 57 genes of the MV score and their correlation to the microvessel density score (MVD) in the Uppsala dataset (N=180)&lt;/p&gt;
Mechanosynthesis of polymer-stabilized lead bromide perovskites: insight into the formation and phase conversion of nanoparticles (2020)

Abstract The application of polymers to replace oleylamine (OLA) and oleic acid (OA) as ligands for perovskite nanocrystals is an effective strategy to improve their stability and durability especially for the solution-based processing. Herein, we report a mechanosynthesis of lead bromide perovskite nanoparticles (NPs) stabilized by partially hydrolyzed poly(methyl methacrylate) (h-PMMA) and high-molecular-weight highly-branched poly(ethylenimine) (PEI-25K). The as-synthesized NP solutions exhibited green emission centered at 516 nm, possessing a narrow full-width at half-maximum of 17 nm and as high photoluminescence quantum yield (PL QY) as 85%, while showing excellent durability and resistance to polar solvents, e.g., methanol. The colloids of polymer-stabilized NPs were directly processable to form stable and strongly-emitting thin films and solids, making them attractive as gain media. Furthermore, the roles of h-PMMA and PEI-25K in the grinding process were studied in depth. The h-PMMA can form micelles in the grinding solvent of dichloromethane to act as size-regulating templates for the growth of NPs. The PEI-25K with large amounts of amino groups induced significant enrichment of PbBr 2 in the reaction mixture, which in turn caused the formation of CsPb 2 Br 5 - m PbBr 2 and CsPbBr 3 -Cs 4 PbBr 6 - n CsBr NPs. The presence of CsPbBr 3 -Cs 4 PbBr 6 - n CsBr NPs was responsible for the high PL QY, as the Cs 4 PbBr 6 phase with a wide energy bandgap can passivate the surface defects of the CsPbBr 3 phase. This work describes a direct and facile mechanosynthesis of polymer-coordinated perovskite NPs and promotes in-depth understanding of the formation and phase conversion for perovskite NPs in the grinding process.
SARS-CoV-2 serological analysis of COVID-19 hospitalized patients, pauci-symptomatic individuals and blood donors (2020)

Abstract It is of paramount importance to evaluate the prevalence of both asymptomatic and symptomatic cases of SARS-CoV-2 infection and their antibody response profile. Here, we performed a pilot study to assess the levels of anti-SARS-CoV-2 antibodies in samples taken from 491 pre-epidemic individuals, 51 patients from Hôpital Bichat (Paris), 209 pauci-symptomatic individuals in the French Oise region and 200 contemporary Oise blood donors. Two in-house ELISA assays, that recognize the full-length nucleoprotein (N) or trimeric Spike (S) ectodomain were implemented. We also developed two novel assays: the S-Flow assay, which is based on the recognition of S at the cell surface by flow-cytometry, and the LIPS assay that recognizes diverse antigens (including S1 or N C-terminal domain) by immunoprecipitation. Overall, the results obtained with the four assays were similar, with differences in sensitivity that can be attributed to the technique and the antigen in use. High antibody titers were associated with neutralisation activity, assessed using infectious SARS-CoV-2 or lentiviral-S pseudotypes. In hospitalized patients, seroconversion and neutralisation occurred on 5-14 days post symptom onset, confirming previous studies. Seropositivity was detected in 29% of pauci-symptomatic individuals within 15 days post-symptoms and 3 % of blood of healthy donors collected in the area of a cluster of COVID cases. Altogether, our assays allow for a broad evaluation of SARS-CoV2 seroprevalence and antibody profiling in different population subsets.
A BJT BiCMOS Temperature Sensor with a Two-Point Calibrated Inaccuracy of 0.1°C (3σ) from -40 to 125°C (2018)

This paper presents a temperature sensor core implemented in standard 0.6μm BiCMOS technology. Due to its intrinsic linearity, the sensor is capable of achieving an inaccuracy of -0.065°C/+0.035°C (3σ) over-40°C to 125°C temperature range after calibration in oil bath at two temperatures. The low output resistance of the core, 5Ω typical value, makes its voltage output signal suitable to be processed by a wide range of analogue-to-digital converters. It also allows multiple instances of the core to be stacked providing a trade-off between noise, supply voltage and silicon area.
Reference distance as a metric for data locality (2002)

We propose the reference distance as a metric for data locality. Reference distance is the number of referenced memory blocks between two successive references to the same memory block. The effectiveness of program transformations for data locality can be evaluated by using reference distance. Our claim is demonstrated by showing the change in data locality and speedup of matrix multiplication due to loop interchange, loop tiling, and loop unrolling. We also present a result of an experiment using loop distribution and unrolling with respect to two subroutines of Perfect benchmark programs. Reference distance would serve as a useful tool for developing a program transformation scheme for data locality optimization.
Magnetic Properties and Control of Interatomic Distance at Interface of Artificial Superlattice. (1992)

,fcc-Fe(1),hcp
Feasibility studies of time-like proton electromagnetic form factors at PANDA at FAIR (2016)

Simulation results for future measurements of electromagnetic proton form factors at \PANDA (FAIR) within the PandaRoot software framework are reported. The statistical precision with which the proton form factors can be determined is estimated. The signal channel $\bar p p \to e^+ e^-$ is studied on the basis of two different but consistent procedures. The suppression of the main background channel, $\textit{i.e.}$ $\bar p p \to π^+ π^-$, is studied. Furthermore, the background versus signal efficiency, statistical and systematical uncertainties on the extracted proton form factors are evaluated using two different procedures. The results are consistent with those of a previous simulation study using an older, simplified framework. However, a slightly better precision is achieved in the PandaRoot study in a large range of momentum transfer, assuming the nominal beam conditions and detector performance.
Extracorporeal treatments in sepsis: are there new perspectives? (2003)

Sepsis continues to provide a major challenge to clinicians. Despite vast advancements achieved in the understanding of its pathways and mechanisms, the incidence of sepsis is increasing and the mortality and morbidity rates remain high, generating a considerable burden to health budgets worldwide. Unfortunately, no definitive therapy yet exists that can successfully treat sepsis and its complications. At variance with targeting single mediators, therapeutic intervention aimed at the non-selective removal of pro- and anti-inflammatory mediators seems a rational concept and a possible key to successful extra-corporeal therapies. A further advantage may lie in the continuous nature of such therapy. With such continuous therapy, sequentially appearing peaks of systemic mediator overflow may be attenuated and persistently high plasma levels reduced. This theoretical framework is proposed as the underlying biological rationale for a series of innovative modalities in sepsis. In this editorial, we will review recent animal and human trials which lend support to this concept. We will also review the importance of treatment dose during continuous renal replacement therapy as a major factor affecting survival in critically ill patients with acute renal failure. We will also review novel information related to other blood purification techniques using largo pore membranes or plasma filtration with adsorbent perfusion. Although these approaches are still in the early stages of clinical testing, they are conceptually promising and might represent an important advance.
Antigen selection from an HIV-1 immune antibody library displayed on yeast yields many novel antibodies compared to selection from the same library displayed on phage (2007)

Phage display of antibody libraries has been widely used for over a decade to generate monoclonal antibodies. Yeast display has been developed more recently. Here the two approaches were directly compared using the same HIV-1 immune scFv cDNA library expressed in phage and yeast display vectors and using the same selecting antigen (HIV-1 gp120). Yeast display was shown to sample the immune antibody repertoire considerably more fully than phage display, selecting all the scFv identified by phage display and twice as many novel antibodies. Positive phage display selection appeared to largely reflect those antibodies that as phage-scFv gave the highest signal in phage ELISAs assessing antigen binding. This signal is thought to reflect the efficiency of expression of folded scFv at the phage surface. Increased access to immune repertoires may increase the rescue of novel antibodies of therapeutic or analytical value that often form a minor part of a typical antibody response.
Model-driven Continuous Experimentation on Component-based Software Architectures (2022)

To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework.
Novel enhancers of guanylyl cyclase‐A activity acting via allosteric modulation (2023)

We describe a novel allosteric binding site on GC-A, which can be targeted by small molecules to enhance ANP and BNP effects. These compounds will be valuable tools in further development and proof-of-concept of GC-A enhancement for the potential use in cardiovascular therapy.
Antenna Loading by Passive Impedance for Linear-to-Circular Polarization Conversion (2022)

Many passive and wireless devices, such as RFID tags or batteryless wireless sensors, are designed to control electromagnetic field backscattered by the devices, in order to maximize the interrogation range (or the device-to-reader separation distance) and/or to mitigate the electromagnetic clutter. In this letter, we show that a linearly polarized (LP) electromagnetic field can be converted into a circularly polarized field by using a passive and chipless device. The device, also called tag, consists of a one-port antenna loaded by a passive impedance, whose value is derived from a rigorous electromagnetic model including structural and antenna scattering modes. The experimental validation of predicted linear-to-circular polarization conversion is reported in the case of a patch antenna illuminated by a LP field. At the operating frequency of 2.6 GHz, the measured axial ratio of the electric field backscattered by the tag is lower than 1 dB.
Efficient and Stable Graph Scattering Transforms via Pruning (2020)

Graph convolutional networks (GCNs) have well-documented performance in various graph learning tasks, but their analysis is still at its infancy. Graph scattering transforms (GSTs) offer training-free deep GCN models that extract features from graph data, and are amenable to generalization and stability analyses. The price paid by GSTs is exponential complexity in space and time that increases with the number of layers. This discourages deployment of GSTs when a deep architecture is needed. The present work addresses the complexity limitation of GSTs by introducing an efficient so-termed pruned (p)GST approach. The resultant pruning algorithm is guided by a graph-spectrum-inspired criterion, and retains informative scattering features on-the-fly while bypassing the exponential complexity associated with GSTs. Stability of the novel pGSTs is also established when the input graph data or the network structure are perturbed. Furthermore, the sensitivity of pGST to random and localized signal perturbations is investigated analytically and experimentally. Numerical tests showcase that pGST performs comparably to the baseline GST at considerable computational savings. Furthermore, pGST achieves comparable performance to state-of-the-art GCNs in graph and 3D point cloud classification tasks. Upon analyzing the pGST pruning patterns, it is shown that graph data in different domains call for different network architectures, and that the pruning algorithm may be employed to guide the design choices for contemporary GCNs.
Aging in nonlinear optical polymer waveguides (1997)

Abstract The role that polymers will play as optical waveguides in the photonic communications revolution is described, including examples of polymer photonic devices, physical and optical requirements, aging mechanisms, competing materials, electric‐field poled polymer films, room‐temperature processed polymer films, and analytical methods for studying physical aging. Several important recent aging studies on nonlinear optical polymers, both thermoplastic and thermoset, are reviewed.
Supplementary Figure 1 from Preclinical Activity of the Type II CD20 Antibody GA101 (Obinutuzumab) Compared with Rituximab and Ofatumumab <i>In Vitro</i> and in Xenograft Models (2023)

&lt;p&gt;PDF file - 62K, Internalization of GA101 (black squares), rituximab (open diamonds), and ofatumumab (open triangles) upon binding to (A) SU-DHL4 cells and (B, C) whole blood derived from two CLL patients. Samples were incubated for 0.5, 2, 4, or 7 h in (A) and for 0.5, 1, 2, 3 and 5 h in (B, C) with Alexa Fluor (trademark) 488-labeled GA101, rituximab, or ofatumumab at 37{degree sign}C, washed and incubated in the presence or absence of anti-Alexa Fluor 488 for 30 min at 4{degree sign}C. The remaining fluorescence indicates the amount of labeled antibody that is not accessible to the quenching anti-Alexa Fluor 488 antibody and thus corresponds to internalized antibody. The average fluorescence intensity and standard deviations were calculated from duplicates of the experiment with SU-DHL4 cells. Due to low number of primary CLL samples the average fluorescence intensity in B and C correspond to single values.&lt;/p&gt;
Thermal fatigue analysis of the flip-chip assembly on the Polymer Stud Grid Array (PSGA/sup TM/) package (2003)

In this paper, the attention is focused on the thermomechanical modelling of a new type of area array package: the Flip Chip on Polymer Stud Grid Array (PSGA/sup TM/). The objective of this study is to optimise the material and geometrical design of this PSGA package and the flip chip assembly in order to achieve the highest thermal fatigue reliability for the solder joints in this structure. A parameterised non linear finite element model is used to calculate the inelastic strains induced in the solder joints due to thermal cycling. The techniques of Design Of Experiments (DOE) and Response Surface Modelling (RSM) enhance the parameter sensitivity analysis and optimisation of the PSGA design. After the optimisation of the structure, a very high solder joint fatigue reliability of this flip chip to PSGA package has been achieved.
Small Molecules as Inhibitors of Cyclin‐Dependent Kinases (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
A Healthy development from the Multimodal approach to coaching (2010)

This article considers a suggested development from the Multimodal approach that amends the acronym BASIC ID (Behaviours, Affects, Sensations, Imagery, Cognitive, Interpersonal and Drugs/Biology) used in that approach to identify dimensions of human personality and functioning. The suggested alternative mnemonic ‘HEALTHY’ (Habits, Emotions, Awareness, Lucid Imagery, Thinking, Hearing/Communicating, and Your Body) is explained and the nuances outlined. A comparison with the Cognitive Behavioural four factor model is made. Advantages of the ‘HEALTHY’ model with its particular application to health coaching is discussed.
Magnetic and electronic structures of FePtCu ternary ordered alloy (2003)

We investigated the microscopic structure of FePtCu ternary ordered alloys from both theoretical and experimental points of view. From the theoretical viewpoint, first principles calculation was carried out based on the full-potential linear augmented plane wave method in order to obtain the electronic structure and magnetic anisotropy energy of the FePtCu ternary ordered alloy. From the experimental viewpoint, the ultraviolet photoelectron spectroscopy measurement was used to identify the Cu position in FePtCu ternary ordered alloy. From a comparison with the calculated density of states curve, it was found that the Fe site of FePt ordered alloy replaced the Cu. The theoretical and experimental results in this article support the mechanism proposed in terms of the thermodynamic considerations in our previous article.
Chain Conformation in Ultrathin Polymer Films (2002)

Abstract Polymer thin films are used in a variety of technological applications—for example, as paints, lubricants and adhesives. Theories that predict the properties of molten polymers in confined geometries (as in a thin film) generally start from the premise that the chains maintain their unperturbed gaussian conformation in the direction parallel to the surface1, 2, 3, 4, 5. This assumption has been questioned, however, by recent experiments6, 7, 8. Here we use small-angle neutron scattering to characterize the chain structure and conformation in ultrathin (less than 100 nm) polymer films. The conformation can be deduced directly from the scattering from mixtures of protonated and perdeuterated polystyrenes. We find that the gaussian conformation is retained parallel to the surfaces in all cases. Chain sizes equal the bulk value, within experimental uncertainty, although there is a systematic trend towards chain swelling in the thinnest films.
Surgical necrotizing enterocolitis but not spontaneous intestinal perforation is associated with adverse neurological outcome at school age (2020)

Gastrointestinal complications during the neonatal period, i.e. necrotizing enterocolitis (NEC) and spontaneous intestinal perforation (SIP), are associated with adverse short-term outcome in very-low-birthweight infants (VLBWI, <1500 g birth weight). However, little is known about the neurological outcome of survivors at school age. We analysed data of 2241 infants followed-up at the age of 6 years. To determine the effect of NEC and SIP on cognitive outcome in consideration of other important confounding factors, we used multivariable logistic regression models. In addition, infants with surgical diagnosis of NEC (n = 43) or SIP (n = 41) were compared to NEC (n = 43) or SIP (n = 41) negative controls using Mahalanobis distance matching. Infants with a history for NEC had a three times increased risk (RR 3.0 [1.8-4.2], p < 0.001) to develop IQ scores <85 while history of surgical SIP did not increase the relative risk for lower IQs at school age (RR 1.0 [0.4-2.1], p = 1.000). In a matched-cohort analysis, we confirmed that infants with surgical NEC had lower mean IQ results than unaffected controls (±SD) (85±17 vs. 94±14, p = 0.023) while no differences were found for history of SIP. Our results reflect that the different aetiology and inflammatory extent of NEC and SIP may lead to disparate neurodevelopment trajectories. Hence, our data suggest a potential role of early gut-brain axis distortion in infants with NEC which needs to be further explored.