gebhart/patrepeval huggingface dataset:
A machine learning approach to quantify individual gait responses to ankle exoskeletons (2023)

We currently lack a theoretical framework capable of characterizing heterogeneous responses to exoskeleton interventions. Predicting an individual's response to an exoskeleton and understanding what data are needed to characterize responses has been a persistent challenge. In this study, we leverage a neural network-based discrepancy modeling framework to quantify complex changes in gait in response to passive ankle exoskeletons in nondisabled adults. Discrepancy modeling aims to resolve dynamical inconsistencies between model predictions and real-world measurements. Neural networks identified models of (i) <i>Nominal</i> gait, (ii) <i>Exoskeleton</i> ( <i>Exo</i> ) gait, and (iii) the <i>Discrepancy</i> ( <i>i.e.</i> , response) between them. If an <i>Augmented</i> (Nominal+Discrepancy) model captured exoskeleton responses, its predictions should account for comparable amounts of variance in <i>Exo</i> gait data as the <i>Exo</i> model. Discrepancy modeling successfully quantified individuals' exoskeleton responses without requiring knowledge about physiological structure or motor control: a model of <i>Nominal</i> gait augmented with a <i>Discrepancy</i> model of response accounted for significantly more variance in <i>Exo</i> gait (median <i>R</i> <sup>2</sup> for kinematics (0.928 - 0.963) and electromyography (0.665 - 0.788), ( <i>p</i> < 0.042)) than the <i>Nominal</i> model (median <i>R</i> <sup>2</sup> for kinematics (0.863 - 0.939) and electromyography (0.516 - 0.664)). However, additional measurement modalities and/or improved resolution are needed to characterize <i>Exo</i> gait, as the discrepancy may not comprehensively capture response due to unexplained variance in <i>Exo</i> gait (median <i>R</i> <sup>2</sup> for kinematics (0.954 - 0.977) and electromyography (0.724 - 0.815)). These techniques can be used to accelerate the discovery of individual-specific mechanisms driving exoskeleton responses, thus enabling personalized rehabilitation.
Visualizing Graphs as Maps with Contiguous Regions (2014)

Relational datasets, which include clustering information, can be visualized with tools such as BubbleSets, Line-Sets, SOM, and GMap. The countries in SOM-based and GMap-based visualizations are fragmented, i.e., theyare represented by several disconnected regions. While BubbleSets and LineSets have contiguous regions, theseregions may overlap, even when the input clustering is non-overlapping. We describe two methods for creatingnon-fragmented and non-overlapping maps within the GMap framework. The first approach achieves contiguityby preserving the given embedding and creating a clustering based on geometric proximity. The second approachachieves contiguity by preserving the clustering information. The methods are quantitatively evaluated using embeddingand clustering metrics, and their usefulness is demonstrated with several real-world datasets and a fullyfunctionalonline system at gmap.cs.arizona.edu.
Absolute configuration of (+)- and (-)-trans-2-phenylcyclopropylamine hydrochloride (1972)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAbsolute configuration of (+)- and (-)-trans-2-phenylcyclopropylamine hydrochlorideThomas N. Riley and C. G. BrierCite this: J. Med. Chem. 1972, 15, 11, 1187–1188Publication Date (Print):November 1, 1972Publication History Published online1 May 2002Published inissue 1 November 1972https://doi.org/10.1021/jm00281a028Request reuse permissionsArticle Views152Altmetric-Citations26LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (288 KB) Get e-Alertsclose Get e-Alerts
Extreme Ultraviolet (EUV) induced surface chemistry on Ru(0001) (2013)

EUV photon induced surface chemistry can damage multilayer mirrors causing reflectivity loss and faster degradation. EUV photo chemistry involves complex processes including direct photon induced surface chemistry and secondary electron radiation chemistry. Current cleaning techniques include dry and wet cleaning of the contaminated mirror surface, which must be performed outside the vacuum chamber. Thus, current cleaning techniques are not desirable for the sake of the productivity. Controlling these processes at multilayer mirror surfaces under EUV conditions can be very beneficial for ASML and its partners. Our goal is to understand these processes and apply newly obtained knowledge in maintaining mirror performance and extending its lifetime. Irradiations of EUV optics with 13.5 nm EUV photons, as well as the generated secondary electrons, drive chemical reactions in the presence of molecular and atomic species, in which the properties of the surface also play an important role. Our investigation employs temperature programmed desorption, and reflection-absorption infrared spectroscopy techniques in a UHV chamber to characterize the binding and chemical composition of molecular adlayers on a Ru(0001) surface. The photochemical reactions of water and deuterium water (D2O) were studied. We found that the dissociation of water on Ru is enhanced by EUV radiation, which leads to oxidation of the Ru surface. The oxidation of the Ru single crystal surface can be considered as the first step of oxidizing a Ru metal thin film, of which the next step is accumulation of oxygen and diffusion into the sub surface layers. The kinetics of oxidation is influenced by a number of factors. By comparing the reactions using water and D2O any isotope effects can be revealed. To understand the dependency on the morphology of the metal substrate, we carefully modify the surface structure by roughening the surface with the aid of ion bombardment. To mimic the polycrystalline nature of the Ru capped multilayer surface, we optimize the ion sputtering and annealing parameters to reproduce the spatial features we observe on Ru capped multilayers using AFM and STM. Furthermore, the dependence of the EUV induced reactions of water on the presence of co-adsorbed species as oxygen, hydrogen or carbon is investigated. This approach will lead to a set of reaction cross sections for EUV induced oxidation as a function of surface morphology, oxygen coverage, hydrogen coverage and carbon coverage.
Lock-in Techniques for the Swept Stimulus Evoked Potential (1984)

Summary: We discuss the use of synchronous-demodulation (lock-in) techniques for evoked potential retrieval. Application to electronically swept visual displays is emphasized. These techniques permit a visual threshold to be specified in 20 s, but their application to visual assessment requires careful consideration of several problems, notably alleged delay in the instrumentation, specification of the baseline response level, and the nature of EEG interference. In addition, since stimulus waveform information is lost in all lock-in methods, questions concerning what activity is contributing to the measured response must be answered. A technique addressing these issues and combining phase-sensitive detection and vector computation is presented.
Gender Differentials in Newspaper Readership Pattern among Residents of Enugu State, Nigeria (2018)

This study investigates newspaper readership pattern among residents of Enugu State within the lenses of gender. Specifically, attention was paid to the most preferred version (between online and print), the duration and purpose of reading newspaper. The survey research design was used for the study while the sample was made up of 192 male and 192 female (totaling 384). The questionnaire was the instrument for data collection. Simple percentages were used for the research objectives while the chi-square test of independence was used to test the three hypotheses raised. The result showed that gender significantly influences the most preferred version of newspaper read, the duration of reading newspaper and the purpose of reading newspaper. The implications of these results on the uses and gratification theory have been explored. Based on the outcome of this study, the researcher recommends, among others, that policymakers should consider the newspaper readership patterns of readers in a bid to communicate essential policies to them.
Enhancing the Performance of Asphalt Mixtures Containing High RAP Content with the Use of Different WMA Technologies (2020)

The production of Warm-mix asphalt mixtures in conjunction with reclaimed asphalt pavement (RAP) has received considerable interest in recent years for economic and environmental reasons. The primary objective of this project is to enhance the performance of asphalt mixtures containing RAP in Region 6 using different WMA technologies. In this project, the effect of utilizing 0%, 25%, and 35% RAP contents on the performance of different WMA mixtures against rutting, moisture damage, and fatigue cracking are evaluated. The effects of the WMA technologies on the rutting performance of the asphalt mixtures and recovered binders were investigated using loaded wheel tracker (LWT) and multiple stress creep recovery (MSCR), respectively. Further, the influences of these technologies on the cracking performance of the asphalt mixtures and recovered binders were evaluated using Semi-Circular Bending (SCB) and linear amplitude sweep (LAS) test, respectively. Based on the results, WMA mixtures containing no RAP have a lower value of the J<sub>nr</sub> compared to the HMA control mixture. This is an indication of the better performance of the WMA mixtures against the permanent deformation. Moreover, findings from the LWT test completely agree with the results from the MSCR test. On the other hand, the fracture resistance is found to be enhanced with the incorporation of a higher percentage of RAP and WMA technologies. Overall fracture resistance performance of WMA-RAP mixtures is observed to be better compared to HMA-RAP mixtures. Moreover, the results of the LAS test show that the incorporation of RAP materials and WMA technologies is associated with improved fatigue life of the WMA-RAP mixtures.
Millimeter-wave radio-over-fiber system for high-speed railway communication (2016)

We propose an architecture of the radio-over-fiber systems for train communication networks. Prediction-based dynamic optical routing can track the train cars by train location information. High spectral-efficient millimeter-wave signal modulation and demodulation are also discussed with the modulation format and its configuration of the frequency conversions in the paper.
The Primary-Secondary Care Partnership to Improve Outcomes in Chronic Kidney Disease (PSP-CKD) Study: A Cluster Randomized Trial in Primary Care (2019)

CKD management programs in primary care may not slow progression of CKD, but they may significantly improve processes of care and potentially decrease the cardiovascular disease burden in CKD and related costs.
Machining FGM: Residual Stresses Redistribution (2005)

This DOI is not currently attached to any metadata records. DOIs can’t actually ever be deleted (they’re persistent), but sometimes our members create DOIs in error. We do have a process to approximate deletion which we follow only in rare cases where the DOI has been genuinely created in error, and most crucially, if the DOI has never been published anywhere online or in print and never otherwise distributed to or communicated with anyone (authors, readers, reviewers, etc.
How surveys, tutors, and software help to assess Scrum adoption in a classroom software engineering project (2016)

Agile methods are best taught in a hands-on fashion in realistic projects. The main challenge in doing so is to assess whether students apply the methods correctly without requiring complete supervision throughout the entire project.
Leisure Activity, Brain β‐amyloid, and Episodic Memory in Adults with Down Syndrome (2019)

The present study provided an investigation of associations between leisure activity and early Alzheimer's disease neuropathology (i.e., brain β-amyloid) and episodic memory in a sample of 65 adults with Down syndrome (aged 30-53 years), at baseline and follow-up, approximately three years apart. Findings indicated that leisure activity at baseline was not associated with brain β-amyloid at baseline or change in brain β-amyloid from baseline to follow-up. Greater cognitively stimulating leisure activity at baseline was associated with better episodic memory at baseline, and greater social leisure activity at baseline was associated with less decline in episodic memory from baseline to follow-up. High (as opposed to low) levels of social and overall leisure activity at baseline moderated the association between increase in brain β-amyloid and decline in episodic memory, from baseline to follow-up. Findings suggest that cognitively stimulating and social leisure activity could protect against the effect of Alzheimer's disease neuropathology on episodic memory in adults with Down syndrome.
Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT (2022)

The coronavirus pandemic has overburdened medical institutions, forcing physicians to diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more conscious about their health, resulting in the extensive purchase of IoT-enabled medical devices. The rapid boom in the market worth of the internet of medical things (IoMT) captured cyber attackers' attention. Like health, medical data is also sensitive and worth a lot on the dark web. Despite the fact that the patient's health details have not been protected appropriately, letting the trespassers exploit them. The system administrator is unable to fortify security measures due to the limited storage capacity and computation power of the resource-constrained network devices'. Although various supervised and unsupervised machine learning algorithms have been developed to identify anomalies, the primary undertaking is to explore the swift progressing malicious attacks before they deteriorate the wellness system's integrity. In this paper, a Dew-Cloud based model is designed to enable hierarchical federated learning (HFL). The proposed Dew-Cloud model provides a higher level of data privacy with greater availability of IoMT critical application(s). The hierarchical long-term memory (HLSTM) model is deployed at distributed Dew servers with a backend supported by cloud computing. Data pre-processing feature helps the proposed model achieve high training accuracy (99.31%) with minimum training loss (0.034). The experiment results demonstrate that the proposed HFL-HLSTM model is superior to existing schemes in terms of performance metrics such as accuracy, precision, recall, and f-score.
Hot or Not (2019)

This paper introduces a novel technique to measure indoor ambient air temperature using the battery temperature sensor found on typical smartphones. We develop physics-based models to predict ambient air temperature that consider the many warming and cooling scenarios faced by phones and account for the excess heat generated by smartphone components such as the CPU, screen, network, and charging hardware. To accommodate never-before-seen devices, we also develop a domain adaptation technique that leverages previously derived models, substantially reducing the overhead of learning accurate models for a new phone. We evaluate our models for a range of devices, operating scenarios, ambient temperatures, and phone cases, with mean errors generally less than 1.5% of ambient temperature. We also present a case study to demonstrate the utility of our approach for spatial and temporal monitoring of ambient temperature variations in an office building; while indoor conditions vary by as much as 13°F, mean error in measurement by our models is 1.4%.
Scientific Strategy to Explain Observed Spectral Anomalies over Hydrocarbon Reservoirs Generated by Microtremors (2006)

Worldwide one has observed narrow-band, low-frequency (1.5-4 Hz) tremor signals on the surface over hydrocarbon reservoirs (oil, gas and water multiphase fluid systems in porous media). These ‘hydrocarbon tremors’ possess remarkably similar spectral and signal structure characteristics, pointing to a common source mechanism, even though the depth (some hundreds to several thousands of meters), specific fluid content (oil, gas, gas condensate of different compositions and combinations) and reservoir rock type (such as sandstone, carbonates, etc.) for each of those sites are quite different. However, the physical mechanisms underlying these observations are presently not fully understood. Therefore we propose a scientific strategy for a better understanding of those phenomena. Using well-known rock physical relationships we have identified on macro-, meso- and microscale different mechanism which can induce anomalies in the low-frequency band. Using different numerical approaches we are able to compare these mechanisms with observations in the field.
Sustaining the Clinical in Clinical Translational Research (2006)

Clinical research requires clinicians. Yet, clinicians attempting to conduct translational research are faced with intense pressures and distractions. The complexities of 21st century clinical care and those of research make success impossible for someone who dabbles in either.

Historically,
The IgH 3′ regulatory region influences lymphomagenesis in Igλ-Myc mice (2015)

The IgH 3'regulatory region (3'RR), encompassing the four transcriptional enhancers hs3a-hs1,2-hs3b-hs4, has a key role on class switch recombination, somatic hypermutation, IgH transcription and B-cell fate. In plasma cells, transcribed IgH and IgL loci often colocalized in transcription factories and an IgL transcription defect might translate into lowered IgH transcription. We explored whether the 3'RR would affect lymphomagenesis in Igλ-Myc transgenic mice prone to lymphoproliferations. Breeding Igλ-Myc transgenics in a background deficient for the 3'RR influences lymphomagenesis toward less mature lymphomas (16% vs 54%, p = 0.01, Z test for two population proportions). In a 3'RR-deficient background mature tumors less often expressed the CD43 antigen (54% vs 0%, p = 0.02), a membrane glycoprotein expressed on activated mature B-cells. In contrast, in a 3'RR-deficient background tumors more often expressed the CD5 antigen (32% vs 12%, p = 0.05) that may serve to control autoimmunity and that is suspected to play a role in leukemic transformation. Lymphoma myc transcript levels, the Ki67 index of proliferation, the clonality, the usage of V(D)J segments, and their somatic hypermutation status were not affected in the 3'RR-deficient background. In conclusion, most probably through its action during the maturation process, the 3'RR can influence lymphomagenesis even when not linked with an oncogene.
Long-Term Therapy With Bevacizumab in a Patient With Glanzmann’s Thrombasthenia and Recurrent Digestive Bleeding due to Gastrointestinal Angiodysplastic Lesions (2015)

Marlu, Raphael MD, PhD; Barthelon, J; Durand, A MD; Mathieu, N MD; Barro, C MD, PhD; Granger, V MD; Tatu, A MD; Pernod, G MD, PhD; Polack, B MD, PhD; Bonaz, B MD, PhD Author Information
Towards deep learning with segregated dendrites (2017)

Deep learning has led to significant advances in artificial intelligence, in part, by adopting strategies motivated by neurophysiology. However, it is unclear whether deep learning could occur in the real brain. Here, we show that a deep learning algorithm that utilizes multi-compartment neurons might help us to understand how the neocortex optimizes cost functions. Like neocortical pyramidal neurons, neurons in our model receive sensory information and higher-order feedback in electrotonically segregated compartments. Thanks to this segregation, neurons in different layers of the network can coordinate synaptic weight updates. As a result, the network learns to categorize images better than a single layer network. Furthermore, we show that our algorithm takes advantage of multilayer architectures to identify useful higher-order representations-the hallmark of deep learning. This work demonstrates that deep learning can be achieved using segregated dendritic compartments, which may help to explain the morphology of neocortical pyramidal neurons.
The Microstructure and Mechanical Properties of Inconel 718 Fine Grain Ring Forging (2010)

This chapter contains sections titled: Introduction Material and Experimental Procedures Results and Discussion Conclusions
Estudio epidemiológico de la salmonelosis porcina en explotaciones intensivas de Andalucía: modelos predictivos asociados a la infección (2008)

Se ha realizado una encuesta seroepidemiologica de la infeccion por Salmonella en el ganado porcino de Andalucia mediante la tecnica ELISA indirecto. Este estudio se llevo a cabo sobre 5782 muestras de suero de animales procedentes de 115 explotaciones, seleccionados del Sistema de Informacion y Gestion Ganadera (SIGGAN) mediante un muestreo estadistico, con la finalidad de proporcionar a los resultados un nivel de confianza del 95 por ciento. Ademas, se han determinado los factores de riesgo de dicha infeccion mediante analisis bivariante y regresion logistica para establecer modelos predictivos. Los datos globales indican que la seroprevalencia en la cabana porcina de Andalucia es del 80 por ciento para las explotaciones y del 27 por ciento para los individuos. De forma simultanea se realizo un estudio microbiologico a partir de muestras fecales de animales de 30 explotaciones incluidas en las 115 utilizadas en el muestreo serologico, resultando positivas 5 de ellas (16,7 por ciento). Los serotipos detectados en las granjas positivas fueron: Gaminara, Goldcoast, London y Typhimurium. El grado de asociacion estadistica entre ambas tecnicas, serologia y bacteriologia mediante el calculo del valor Kappa, mostro muy mala concordancia (?=0,033). El modelo explicativo general proporcionado por el analisis multivariante ha incorporado las variables ventilacion (OR=1,23; 1,13-1,30), origen del agua (OR=1,25; 1,07-1,46), ropa de trabajo (OR=1,40; 1,21-1,62), densidad corral de cebo (OR=1,44; 1,26-1,64), origen del pienso (OR=1,17; 1,06-1,29), sistema de limpieza (OR=1,40; 1,12-1,76), programa sanitario documentado (OR=1,76; 1,45-,15) y clinica reproductiva (OR=3,86; 2,77-5,63). Este modelo nos permite pronosticar la situacion frente a la infeccion del 73,7 por ciento de los casos.
The strategic analysis of the distribution channel under the B2C e-business mode (2011)

The network technology provides manufacturers with a new platform to contact with the consumers. Nowadays, in order to fulfill the rapid development, many manufacturers open B2C e-channel, while maintaining the traditional distribution channel. In this context, based on the theory of Cournot Game, this paper takes the duopoly manufacturers as an example, discusses the game process for their choice to open e-channel or not, and solves the Nash Equilibrium. The results indicates, when the cost of opening e-channel is lower than a critical value, the final equilibrium is both sides don't open e-channel; when the cost is higher than another critical value, the final equilibrium is both sides open e-channel; when the cost is between the two critical values, a coordination system should be built.