gebhart/patrepeval huggingface dataset:
Preliminary Tests for Optically Measuring Drying Strains and Check Formation in Wood (2011)

This study deals with the visualization of deformation during wood drying by Digital Image Correlation method using an Optical Measurement System. By this measurement, localized deformation by drying stress can be observed in naked eye. Estimation of displacement maps of willow tree disks and Oregon oak planks provided the strain distribution during drying of wood. And the stress concentration in the Oregon oak plank was successfully visualized.
Privacy-Preserving Energy Scheduling for ESCOs Based on Energy Blockchain Network (2019)

Capable of aggregating multiple energy resources, the energy service company (ESCO) has been regarded as a promising alternative for improving power system flexibility and facilitate the consumption of renewable resources in the energy market. However, the issues have become significantly more serious related to the privacy and security of the data in consumption and trading. In this paper, we address the problem by proposing a privacy-preserving energy scheduling (PPES) model based on energy blockchain network. A Lagrangian relaxation method is applied to decompose the model into several individual optimal scheduling problems, and the individual scheduling problems are solved by consensus algorithm and smart contracts in energy blockchain network. The performance of the proposed model and method is evaluated with several case studies based on multiple energy nodes. Simulation results show the rationality and validity of the proposed method, and the model is conducive to the protection of environment and transparent scheduling of energy service companies (ESCOs). In addition, it can reflect the information of energy demand and supply to improve the privacy and security of data.
Optimal System Design of In-Situ Bioremediation Using Parallel Recombinative Simulated Annealing (1997)

We present a simulation/optimization model combining optimization with BIOPLUME II simulation for optimizing in-situ bioremediation system design. In-situ bioremediation of contaminated groundwater has become widely accepted because of its cost-effective ability to achieve satisfactory cleanup. We use parallel recombinative simulated annealing to search for an optimal design and apply the BIOPLUME II model to simulate aquifer hydraulics and bioremediation. Parallel recombinative simulated annealing is a general-purpose optimization approach that has the good convergence of simulated annealing and the efficient parallelization of a genetic algorithm. This is the first time that parallel recombinative simulated annealing has been applied to groundwater management. The design goal of the in-situ bioremediation system is to minimize system installation and operation cost. System design decision variables are pumping well locations and pumping rates. The problem formulation is mixed-integer and nonlinear. The system design must satisfy constraints on pumping rates, hydraulic heads, contaminant concentration at the plume source and at downstream monitoring wells. For the posed problem, the parallel recombinative simulated annealing obtains an optimal solution that minimizes system cost, reduces contaminant concentration and prevents plume migration.
An integrated simulation model and evolutionary algorithm for train timetabling problem with considering train stops for praying (2012)

This paper presents a simulation-based optimization approach for railway timetabling, which is made interesting by the need for trains to stop periodically to allow passengers to pray. The developed framework is based on integration of a simulation model and an evolutionary path re-linking algorithm with the capability of scheduling trains, subject to the capacity constraints in order to minimize the total waiting times. A customized deadlock avoidance method has been developed which is based on a conditional capacity allocation. The proposed look-ahead deadlock avoidance approach is effective and easy to implement in the simulation model. A case study of the Iranian Railway (RAI) is selected for examining the efficiency of the meta-heuristic algorithm. The result shows that proposed algorithm has the capability of generating good quality solution in real-world problems.
Establishment and evaluation of a nomogram for predicting the survival outcomes of patients with diffuse large B-cell lymphoma based on International Prognostic Index scores and clinical indicators (2023)

Our study identified prognostic factors in patients who were newly diagnosed with DLBCL to construct an individualized risk prediction model, combined IPI with common clinical indicators. Our model might be a valuable tool that could be used to predict the prognosis of DLBCL patients who receive standard first-line treatment regimens. It enables clinicians to quickly identify some patients with possible poor prognosis and choose more active treatment for patients, such as chimeric antigen receptor T-cell (CART) Immunotherapy and other new drugs therapy, so as to prolong the PFS and OS of patients.
Scalability analysis of WSS-based ROADMs (2012)

Reconfigurable Optical Add/Drop Multiplexers (ROADMs) are becoming the industry standard for optical transparent switching in long-haul networks. ROADMs introduce new flexibility features towards full dynamic networks. In this paper, we investigate the scalability limits of the ROADM. We introduce a method to compute the number of ROADM internal subsystems (namely the wavelength selective switches) for a given traffic request. We evaluate the working and the blocking states of the ROADM with relation to its features of colorless, directionless and contentionless. We propose a method to compute the node requirements for a given set of network parameters.
Harnessing digital technology to predict, diagnose, monitor, and develop treatments for brain disorders (2019)

Digital technologies-including smartphones, wearables, and social media data-show great potential for helping to alleviate suffering from brain disorders such as Parkinson's disease, Alzheimer's disease, depression, and schizophrenia. However, as researchers, technology developers, disease-focused groups, and others forge forward to take advantage of the tremendous opportunities in this domain, it is important to avoid hype and overpromising, and to ensure that this work is done rigorously and collaboratively. In June 2018, the National Academies of Sciences, Engineering, and Medicine's Forum on Neuroscience and Nervous System Disorders hosted a workshop that brought together a wide range of experts and stakeholders. The workshop provided an opportunity to take stock of the rapidly-evolving landscape and discuss how to work together to address both scientific and practical challenges, so that the potential of digital technologies can be translated into meaningful contributions toward the health of individuals and society. Workshop presentations and discussions focused on four key challenges: transforming data into insight, navigating regulatory pathways, designing user-centered tools, and building partnerships across a complex ecosystem. This article highlights the many issues, challenges, and opportunities discussed by individual participants at the workshop.
Multifunctional MEN-Doped Adhesives: Strengthening, Bond Quality Evaluation, and Variations in Magnetic Signal with Environmental Exposure (2022)

Adhesive bonding of polymer matrix composites offers various advantages over traditional fasteners, such as a uniform stress state, reduced weight, and delay of composite delamination. However, adhesive bonding has limited implementation due to challenges in the prediction of durability. This work introduces a new method to monitor an adhesively bonded composite joint by dispersing magneto-electric nanoparticles (MENs) into the polymer precursor and monitoring changes in their surface charge density by evaluating the output magnetic signal under an applied magnetic field. Real-time monitoring of the curing process of a polymer adhesive was performed and corroborated via thermal analysis and mechanical testing. Lap shear and end notch flexure testing showed that adding 1 vol% MENs led to a ~23% increase in shear strength and a ~12% increase in mode II critical energy release rates compared to the undoped adhesive. Adding 5 vol% MENs also increased the adhesive’s peak tensile stress by ~8%. Strengthening mechanisms of the doped adhesive were monitored using in situ electron microscopy. A correlation between water ingression and a change in the magnetic moment was observed. Results show the MENs’ potential as a structural health-monitoring tool for a wide range of materials and applications.
Nonlinear Robust Controller for Miniature Helicopters Without Singularity (2017)

A singularity-free nonlinear robust controller is proposed for miniature helicopters to accomplish trajectory tracking missions. The helicopter model is decomposed into a cascaded structure with some unmodeled dynamics. The controller development applies the hierarchical strategy. First, a position loop controller is designed based on a saturation control scheme using differential hyperbolic tangent functions, and criteria for choosing controller parameters are established to ensure the finite-time position tracking and to obviate singularity in the command attitude extraction. Singularity may also occur during the attitude tracking when the pitch of the helicopter reaches ± π/2. Based on a barrier Lyapunov function, an attitude loop controller is put forward with a backstepping technique, and an initial condition constraint for the nonsingular attitude tracking is deduced. Simulations illustrate the applicability of the proposed controller.
VICTORIA SUPERHEAVY LOAD MOVE: REPORT ON ROUTE ASSESSMENT AND PAVEMENT MODELING. INTERIM REPORT (1994)

The Texas Department of Transportation (TxDOT) has been issuing an increasing number of permits for movement of superheavy loads. The effect of superheavy loads on pavements is not well established at the present time. To address this problem, TxDOT has funded a research project with the Texas Transportation Institute (TTI) with the objective of developing a procedure to evaluate the potential for pavement damage on a proposed superheavy load route, as well as to determine whether temporary strengthening measures are needed. During the study a number of superheavy loads will be monitored. This report describes the data collection and analysis results for a superheavy load move which took place in Victoria during December, 1992. The move involved the transport of two superheavy loads. A Multi-Depth Deflectometer measured pavement deflection under the superheavy loads. This study used the deflection data to evaluate the applicability of linear elastic layered theory to predict pavement response under the loading. Predicted displacement from the theory compared favorably with corresponding measurements. To evaluate the effects of multiple wheel loads, an analysis was done to establish how predicted pavement response varies with distance from a given load and with different load configurations. The results indicate that stresses based on a single-axle model yield conservative estimates of the potential for pavement damage. This analysis showed that the road had adequate structural capacity to sustain the superheavy loads without developing visible distress.
STUDY OF ARSENIC CONTAMINATION IN DISTRICT GHAZIPUR (U.P.), INDIA (2021)

In recent decades, arsenic contamination in ground water and its impact to human life have been one of the serious problems of every country. The contamination of drinking water supplies with natural occurring arsenic is major health problem. In the present paper, authors have studied the arsenic contamination in district Ghazipur (U.P.), India. The complete study is divided in three categories of arsenic namely Category-I (satisfactory), Category-II (risky) and Category-III (critical). For this, authors selected twelve study sites of district Ghazipur with two types of samples from shallow water and deep (India mark II) water. Results are presented in the tabular form and show that all twelve study sites (Ghazipur City, Rajapur, Bara, Dandimorh, Gauspur, Saidpur, Mohammadabad, Karanda, Reotipur, Zamania, Karkatpur and Dharmarpur) of district Ghazipur (U.P.), India lie under Category-III and the ground water of Ghazipur City, Rajapur, Bara, Dandimorh, Gauspur, Saidpur, Mohammadabad, Karanda, Reotipur, Zamania, Karkatpur and Dharmarpur is not fit for drinking without processing.
Discitis after Lumbar Epidural Corticosteroid Injection: A Case Report and Analysis of the Case Report Literature (2006)

The identified clinical features and trends could prove useful to the practitioner when an infectious complication is suspected or has occurred.
Evaluation of Strength Distribution in Boron Fiber Reinforced Aluminum Matrix Composites by Recursion Analysis Technique (1989)

The present work tries to apply the recursion analysis technique to boron fiber reinforced aluminum matrix composites. Several sizes of comopsites ( Vf : 0.10 0.15) prepared by hot-press were used as the test materials. The tensile strengths of filament and composite specimen were measured several times. On the other hand, Weibull parameters of the strength of fibers were estimated from the measured data, from which recursive distribution curves were predicted. The results showed that the strength of composites gradually decreased with increasing the size of composites. The recursive curves indicated appropriately such a tendency, i.e. agreed well with the Weibull plots of experimental data. This means the recursion analysis technique can be applied to the evaluation of strength distribution of boron fiber reinforced aluminum matrix composites in a laboratory scale. In addition, the effect of 2-parameter and bi-modal Weibull distribution on the recursive solusion was discussed.
Studies on the Light Controlling Flower Initiation of Pharbitis Nil (1960)

1) A red interruption was effective for flower inhibition only 8 to 12 hours after the beginning of the dark period irrespective of the duration of the dark period. A 5-minute exposure to far-red (15kiloerg/cm. 2/sec.) given immediately following a 2-minute red irradiation (1500erg/cm.2/sec.) did not remove the inhibitory effect of red at any time during the dark period.2) A brief far-red irradiation given during the first 12 hours of the dark period inhibited flower initiation. Maximum inhibition was obtained at the 8th hour. Two minutes of red following 5 minutes of far-red reversed the inhibitory effect of far-red completely during the first 4 hours of the dark period, but had little effect at any other time.3) The inhibitory effect of 1-minute red irradiation given in the middle of a 16-hour dark period was reversed to some extent by the following far-red irradiation, if the duration of the latter was shortened to some 10 seconds. The inhibitory effect of 2-minute far-red irradiation given in the middle of a 16-hour dark period was reversed to some extent by a following 20-second exposure to red.4) The flower-inhibitory effect of red and far-red given at the 8th hour of a long dark period is stronger when given to the plant with low intensities for long durations than when given with high intensities for short durations.
Single Circulating Tumor Cell Detection and Overall Survival in Non Metastatic Breast Cancer. (2009)

Abstract Background: Circulation of cancer cells in the blood is a necessary step of hematogeneous metastasis while circulating tumor cells (CTC) have been reported to have a low metastatic efficiency in preclinical animal models. After a median follow-up of 18 months, we previously reported that CTC detection influences the distant metastasis-free survival (DMFS) in non-metastatic breast cancer (BC) patients (pts) treated by neoadjuvant chemotherapy (NACT) in a multicenter prospective trial. Updated results are presented here, focusing on overall survival (OS) and predictors of metastatic relapse.Methods: In 115 localized BC pts, CTC were prospectively screened (CellSearch) before and after NACT (REMAGUS02). We analyzed their outcome after a median follow-up of 36 months.Results: At baseline, 23% of pts were CTC-positive, but only 10% had more than 1 CTC per 7.5ml of blood. At an individual level, CTC detection before chemotherapy, used as a test to predict metastatic relapse, exhibited a global accuracy of 77%, higher than that of tumor grade (54%), tumor size (57%), lymph node invasion (40%), triple negative phenotype (76%) and pathological complete response (27%). Multivariate analyses for OS and DMFS showed that CTC detection before chemotherapy was a strong independent prognostic factor for both DMFS (p=0.01, RR=5.0, 95%CI[1.4-17]) and OS (p=0.007, RR=9, 95%CI[1.8-45]), along with tumor size and triple-negative phenotype, while post-chemotherapy CTC detection had a lower significance for both endpoints (p=0.07 and p=0.09 respectively).Conclusion: Biologically, the metastatic efficiency of CTC could be higher than previously thought. Clinically, besides confirming our previously reported results, this study shows that CTC detection may become the main prognostic factor in BC pts treated with NACT. Implementing this technique in everyday management might help to identify high-risk pts in whom innovative strategies should be investigated.Supported by PHRC AOM/2OO2/02117, Pfizer inc., Roche, sanofi-aventis.ISRCTN10059974 Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 3017.
Satellites and psychology for improved forest monitoring (2014)

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Thyroglobulin and Thyroid Hormone Synthesis (1984)

AbstractThyroid hormone biosynthesis takes place in the thyroid gland by the trapping of iodide, synthesis of the proteins to be iodinated and iodination of these proteins with oxidative coupling of iodotyrosyls to iodothyronines (1–8). Thyroglobulin (Tg), a 660,000 dalton glycoprotein, is the iodoprotein precursor that forms the matrix within which the thyroid hormones are synthesized. Newly synthesized Tg is also the substrate for thyroid peroxidase (TPO) that catalyses the iodination and coupling of these iodinated tyrosines.
Inhibition of Human Immunodeficiency Virus Type 1 by Packageable, Multigenic Antisense RNA (2000)

Viral-based vectors can provide an efficient delivery mechanism for stable expression of antisense RNA. To enhance and propagate the antiviral effect of antisense RNA, two novel human immunodeficiency virus type 1 (HIV-1)-based vector DNAs, designated as pMAG7 and pMAG19, were constructed which contained HIV-1 cis-acting packaging elements and produced multigenic HIV-1 antisense RNA that could target the entire pol, env, vif, vpu, vpr, rev, and tat and portions of gag and nef. The two DNAs were identical except that pMAG19 had additional gag coding sequences. Cotransfection of pMAG DNA and infectious, cloned HIV-1 DNA in 293 cells inhibited virus production (81%-98% reduction in reverse transcriptase activity) of various T cell-tropic and macrophage-tropic clade B isolates, such as NL4-3, YU-2, and JR-CSF. In addition, virion-associated pMAG antisense RNA was detected in residual virus particles produced by pNL4-3 in the presence of pMAG7 DNA, and the antisense sequences were stably transferred by infection of 174 x CEM cells. The results suggest that pMAG DNA may confer broad protection against HIV-1 by reducing initial virus burden due to antisense RNA and subsequent virus spread by propagation of antisense sequences along with wild-type virus.
The impact of current experience, level of training, and post-call status on student and resident examination results during a surgical ICU rotation (2001)

There are currently few data regarding the rate of learning for medical students and residents during a single clinical rotation. In this study, learner knowledge acquisition for medical students, and junior and senior residents, was evaluated during a single rotation in a surgical intensive care unit. Multiple-choice and short-answer question examinations (n = 261) were administered to students, and junior and senior residents (n = 103) at variable times during their rotation, over a period of 3 years. Results demonstrated that examination scores improved as ICU experience increased, in both students and junior residents, but not in senior residents. The learning curve in juniors reached a plateau after 7 weeks' experience. Post-call status had no impact on examination results. The plateau in examination scores in juniors and the lack of increase in senior residents have implications regarding planning the length of rotations during residency education.
Semantically-based recommendation by using semantic clusters of users' viewing history (2014)

Collaborative filtering-based recommender systems assume that if two users have shown similar interest on the same set of contents, they may show a similar interest-pattern in choosing future contents. However, users who have certain tastes on one specific category of contents may behave differently in choosing contents from other categories. Moreover, the collaborative filtering approaches may not work efficiently with sparse data sets, where there are a small number of contents or a limited number of users in the content categories. In this paper, to deal with these problems, we propose a novel approach of recommending contents across different categories by considering both the semantic information of contents and user interests. The proposed approach uses Linked Data as the source to find the appropriate semantics of the contents extracted from users' viewing history. The semantic concepts retrieved for the contents are then grouped together into semantic clusters based on their similarity and relevance. Our approach recommends potentially interesting contents to general users based on the content-consumption trends monitored from leading user groups who most proactively and frequently consume contents. We demonstrate the effectiveness of our approach by conducting an experiment with the real-world mobile IPTV service data obtained from one of the popular IPTV service providers in South Korea.
Electrochemical Measurement of Li2O in Molten LiCl Salt (2016)

Methods to prepare and condition a reference electrode for precise potential measurements in molten LiCl-Li 2 O are discussed in this paper. The Ni/NiO redox couple is commonly encased in MgO tubes containing porous, low-density MgO plugs that support ionic transport. Open circuit potential measurement between a source of fixed lithium activity and these reference electrodes is a promising approach to achieving real time Li 2 O concentration measurement in the salt. But the reference potentials must be extremely stable and reproducible in order for concentration correlations to be accurate for any given reference electrode. It was found in our study that pre-soaking of the reference electrodes is needed to eliminate transient effects. And equalizing the length of the porous MgO plugs is also critical to minimizing variability between different reference electrodes.