gebhart/patrepeval huggingface dataset:
Ralstonia pickettii enhance the DDT biodegradation by Pleurotus eryngii (2019)

DDT is a hydrophobic organic pollutant, which can be bio-accumulated in nature and have adverse consequences on the physical condition of humans and animals. This study investigated the relationship between the white-rot fungus <i>Pleurotus eryngii</i> and biosurfactantproducing bacterium <i>Ralstonia pickettii</i> associated with the degradation of DDT. The effects of <i>R. pickettii</i> on fungal development were examined using in vitro confrontation assay on a potato dextrose agar (PDA) medium. <i>R. pickettii</i> culture was added to the <i>P. eryngii</i> culture at 1, 3, 5, 7, and 10 ml (1 ml ≈ 1.44 × 10<sup>13</sup> CFU). After 7 d incubation, about 43% of the initial DDT (12.5 μM) was degraded by the <i>P. eryngii</i> culture only. The augmentation of 7 ml of <i>R. pickettii</i> culture revealed a more highly optimized synergism with DDT degradation being approximately 78% and the ratio of optimization 1.06. According to the confrontational assay, <i>R. pickettii</i> promoted the growth of <i>P. eryngii</i> towards the bacterial colony, with no direct contact between the bacterial cells and mycelium (0.71 cm/day). DDD (1,1-dichloro-2,2-bis(4- chlorophenyl) ethane), DDE (1,1-dichloro-2,2-bis(4-chlorophenyl) ethylene), and DDMU (1- chloro-2,2-bis(4-chlorophenyl) ethylene) were identified as metabolic products, indicating that the <i>R. pickettii</i> could enhance the DDT biodegradation by <i>P. eryngii</i>.
Multiple Sessions of One-Legged Recumbent Cycle Ergometer Exercise Improved Pedaling Rate and Knee Range of Motion in a Middle-Aged Man after Hip Disarticulation: A Clinical Case (2022)

Background: This case evaluates the short-term training effects with alterations in pedaling rate (PR) and its relationship to knee range of motion (KROM) after multiple sessions of one-legged recumbent cycle ergometer exercise (1LREx) in a patient after hip disarticulation (HD). Case: A 44-year-old male patient had left HD due to osteosarcoma. He performed unilateral right 1LREx at 10 W with a self-controlled freely chosen PR until exhaustion. Multiple 1LREx sessions (maximum 4-5 sessions/day) were performed over 6 consecutive days from day 15 post-HD. PR and right KROM in the downstroke (pushing) and upstroke (pulling) pedal phases were determined continuously using a goniometer placed between the thigh and lower leg. The PR time-course during 1LREx indicated differences among multiple daily sessions but tended to be higher and more stable at steady-state over the study period (average ± SD PR and its coefficients of variability, 33.2 ± 5.3 revolution per minute (rpm) and 28.0% on Day 1 versus 43.0 ± 3.0 rpm and 12.5% on Day 6). The time-course of KROM was similar among multiple sessions during each day; however, the average KROM over all sessions in a day tended to increase over the study period (51.0 ± 1.2° on Day 1 vs. 78.0 ± 2.3° on Day 6). Mean KROM in the downstroke or upstroke pedal phases during each session showed a significant positive linear correlation (total of 27 sessions, p &lt; 0.05) with mean PR. Conclusion: After HD, short-term one-legged trainability with multiple 1LREx resulted in increased KROM and PR with uniformly faster PR with whole leg exercising in the sagittal plane
Driving simulator scenarios and measures to faithfully evaluate risky driving behavior: A comparative study of different driver age groups (2017)

To investigate the links between mental workload, age and risky driving, a cross-sectional study was conducted on a driving simulator using several established and some novel measures of driving ability and scenarios of varying complexity. A sample of 115 drivers was divided into three age and experience groups: young inexperienced (18-21 years old), adult experienced (25-55 years old) and older adult (70-86 years old). Participants were tested on three different scenarios varying in mental workload from low to high. Additionally, to gain a better understanding of individuals' ability to capture and integrate relevant information in a highly complex visual environment, the participants' perceptual-cognitive capacity was evaluated using 3-dimensional multiple object tracking (3D-MOT). Results indicate moderate scenario complexity as the best suited to highlight well-documented differences in driving ability between age groups and to elicit naturalistic driving behavior. Furthermore, several of the novel driving measures were shown to provide useful, non-redundant information about driving behavior, complementing more established measures. Finally, 3D-MOT was demonstrated to be an effective predictor of elevated crash risk as well as decreased naturally-adopted mean driving speed, particularly among older adults. In sum, the present experiment demonstrates that in cases of either extreme high or low task demands, drivers can become overloaded or under aroused and thus task measures may lose sensitivity. Moreover, insights from the present study should inform methodological considerations for future driving simulator research. Importantly, future research should continue to investigate the predictive utility of perceptual-cognitive tests in the domain of driving risk assessment.
P‐22: Qualification of LCD Grade NF 3 for PECVD Chamber Cleaning (2000)

Abstract LCD grade NF 3 gas, which has lower purity, was evaluated for chamber cleaning in a PECVD system for TFT‐LCD manufacturing. This paper presents a comparison of performance criteria: deposited film properties, cleaning rate, in‐film contamination analysis (SIMS and TXRF) and deposition and clean repeatability for LCD‐grade and ULSI‐grade of NF 3 .
Non-Planar Pad-Printed Thick-Film Focused High-Frequency Ultrasonic Transducers for Imaging and Therapeutic Applications (2012)

Pad-printed thick-film transducers have been shown to be an interesting alternative to lapped bulk piezoceramics, because the film is deposited with the required thickness, size, and geometry, thus avoiding any subsequent machining to achieve geometrical focusing. Their electromechanical properties are close to those of bulk ceramics with similar composition despite having a higher porosity. In this paper, padprinted high-frequency transducers based on a low-loss piezoceramic composition are designed and fabricated. High-porosity ceramic cylinders with a spherical top surface are used as the backing substrate. The transducers are characterized in view of imaging applications and their imaging capabilities are evaluated with phantoms containing spherical inclusions and in different biological tissues. In addition, the transducers are evaluated for their capability to produce high-acoustic intensities at frequencies around 20 MHz. High-intensity measurements, obtained with a calibrated hydrophone, show that transducer performance is promising for applications that would require the same device to be used for imaging and for therapy. Nevertheless, the transducer design can be improved, and simulation studies are performed to find a better compromise between low-power and high-power performance. The size, geometry, and constitutive materials of optimized configurations are proposed and their feasibility is discussed.
ATPS-67MORPHOLOGIC HETEROGENEITY AT A PIXEL-LEVEL CAPTURED VIA ENTROPY OF GRADIENT ORIENTATIONS ON T1-POST CONTRAST MRI ENABLES DISCRIMINATION OF TUMOR RECURRENCE FROM CEREBRAL RADIATION NECROSIS (2015)

OBJECTIVE: Radiation necrosis (RN) is a radiation injury due to high dose radiation, and is extremely challenging to differentiate from brain tumor recurrence (RT) on conventional MRI. Early identification of RN from RT has prognostic implications. While visually these two pathologies appear similar on MRI, morphologic differences at a per-pixel level between RT and RN may require more advanced computerized image analysis methods. In this work, we evaluate a new radiomic feature, CoLlAGe, to compare different grades of RT from RN on Gd-enhanced T1w-MRI. Mathematically, CoLlAGe captures the degree of disorder and in turn morphologic heterogeneity in gradient orientations on a per-voxel basis. The hypothesis is that, while there are known differences at cellular level between RN and RT, they are perhaps also reflected on MRI, and can be captured by computing localized gradient orientations on a per-pixel basis. METHOD AND MATERIALS: We computed CoLlAGe on every lesion on a unique cohort of 45 pathologically confirmed patients: (1) 14 ‘pure’ (100%) RN cases from nasopharyngeal carcinoma, (2) 10 ‘predominant’ RN (>80% RN, remainder RT), and 11 ‘predominant’ recurrence cases with >80% tumor (remainder RN) in radiated primary brain tumors, and (3) 10 cases on treatment-naive MRI (0% RN). RESULTS: CoLlAGe feature values were lowest for ‘pure’ RN with a mean and standard deviation of 0.74 +/- 0.11, 0.84 +/- 0.10 for ‘predominant’ RN, 0.91 +/- 0.06 for ‘predominant’ recurrence and 0.88 + /- .03 for treatment-naive GBMs respectively. At a normalized threshold of 0.8, 100% (21 of 21) tumor recurrence patients and 67% (16 of 24) RN patients were correctly identified using CoLlAGe values. CONCLUSION: The CoLlAGe values were found to be significantly different across RT and RN cohort with an overall accuracy of 82%. Timely identification of RN from RT could allow for personalized therapy options in brain tumor patients.
Nitric oxide chemical ionization mass spectrometry of alcohols (1982)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTNitric oxide chemical ionization mass spectrometry of alcoholsDonald F. Hunt, T. Michael. Harvey, William C. Brumley, James F. Ryan, and John W. RussellCite this: Anal. Chem. 1982, 54, 3, 492–496Publication Date (Print):March 1, 1982Publication History Published online1 May 2002Published inissue 1 March 1982https://doi.org/10.1021/ac00240a032RIGHTS & PERMISSIONSArticle Views159Altmetric-Citations24LEARN 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 (630 KB) Get e-Alertsclose Get e-Alerts
Alginate‐encapsulated HepG2 Cells in a Fluidized Bed Bioreactor Maintain Function in Human Liver Failure Plasma (2009)

Alginate-encapsulated HepG2 cells cultured in microgravity have the potential to serve as the cellular component of a bioartificial liver. This study investigates their performance in normal and liver failure (LF) human plasma over 6-8 h in a fluidized bed bioreactor. After 8 days of microgravity culture, beads containing 1.5 x 10(9) cells were perfused for up to 8 h at 48 mL/min with 300 mL of plasma. After exposure to 90% LF plasma, vital dye staining showed maintained cell viability, while a 7% increase in lactate dehydrogenase activity indicated minimal cell damage. Glucose consumption, lactate production, and a 4.3-fold linear increase in alpha-fetoprotein levels were observed. Detoxificatory function was demonstrated by quantification of bilirubin conjugation, urea synthesis, and Cyp450 1A activity. These data show that in LF plasma, alginate-encapsulated HepG2 cells can maintain viability, and metabolic, synthetic, and detoxificatory activities, indicating that the system can be scaled-up to form the biological component of a bioartificial liver.
Antenne PIFA reconfigurable avec patch de géométrie variable et commandable (2011)

International audience
Multi -Agent Deep Reinforcement Learning based Power Control for Large Energy Harvesting Networks (2019)

The goal in this work is to design online power control policies for large energy harvesting (EH) networks where, due to large energy overhead involved in the exchange of state information among the nodes, it is infeasible to use a centralized policy. Furthermore, typical applications of EH networks concern the scenario where the statistical information, about both the EH process and the wireless channel, is not available. In order to address these challenges, we propose a mean-field multiagent deep reinforcement learning framework. The proposed approach enables the nodes to learn online power control policies in a fully distributed fashion, i.e., it does not require the nodes to exchange the information about their states. Using the underlying structure of the problem, we analytically establish the convergence of the proposed scheme. In particular, we show that the policies obtained using the proposed approach converge to the `stationary' Nash equilibrium. Our simulation results illustrate the efficacy of the power control policies, learned through the proposed approach. In particular, the mean-field multi-agent reinforcement learning scheme achieves a performance close to the state-of-the-art centralized policies which operate using the information about the state of whole network.
Substance or Style: What Does Your Image Embedding Know? (2023)

Probes are small networks that predict properties of underlying data from embeddings, and they provide a targeted, effective way to illuminate the information contained in embeddings. While analysis through the use of probes has become standard in NLP, there has been much less exploration in vision. Image foundation models have primarily been evaluated for semantic content. Better understanding the non-semantic information in popular embeddings (e.g., MAE, SimCLR, or CLIP) will shed new light both on the training algorithms and on the uses for these foundation models. We design a systematic transformation prediction task and measure the visual content of embeddings along many axes, including image style, quality, and a range of natural and artificial transformations. Surprisingly, six embeddings (including SimCLR) encode enough non-semantic information to identify dozens of transformations. We also consider a generalization task, where we group similar transformations and hold out several for testing. We find that image-text models (CLIP and ALIGN) are better at recognizing new examples of style transfer than masking-based models (CAN and MAE). Overall, our results suggest that the choice of pre-training algorithm impacts the types of information in the embedding, and certain models are better than others for non-semantic downstream tasks.
Lubricant Dynamics in the Sub-Nanometer Clearance Regime (2006)

This paper reviews the present state of understanding of lubricant-slider interactions in a rigid disk drive. As slider flying heights are rapidly approaching the intrinsic limit of a disk topography (1-3 nm), it has become apparent that disk-slider clearance of less than a nanometer can be achieved, at least on a laboratory set-up. We will discuss the implication of such low spacing on the lubricant film behavior, and provide general physical arguments that attempt to highlight lubricant attributes that are relevant under those clearance conditions
SU‐GG‐T‐544: Delivery Time Minimization for Robotic Radiosurgery and IMRT Treatments (2010)

Purpose : Robotic radiation delivery systems can accurately deliver conformal dose distributions for clinical applications throughout the body. Here we describe methods to reduce treatment times for step‐and‐shoot robotic radiation delivery while maintaining the dosimetric quality of the treatment plan. Method and Materials : Treatment delivery time, excluding patient setup, depends primarily on three parameters: beam‐on time, number of positions (called nodes) of the linear accelerator, and the number of beams delivered per node. New optimization techniques reduce treatment time by direct reduction of the number of nodes and beams. These techniques iteratively remove low‐utility nodes and beams from the solution space and optimize the beam weights of the remaining beams. Annealing schedules are developed based on a user‐specified treatment time and the number of nodes in the solution set. The algorithms were evaluated on plans for standard fractionated prostate robotic IMRT, hypo‐fractionated prostate radiosurgery, spine radiosurgery, and lung SBRT. Results : The algorithms reduced treatment delivery times (excluding patient setup time) per fraction by as much as 60% for prostate robotic IMRT, 35% for prostate radiosurgery, 25% for spine radiosurgery, and 50% for lung SBRT. The implementation of the new optimization features allows the user to explore trade‐offs in treatment plan quality and delivery time by generating a family of plans that correspond to varying treatment times. Substantial time reductions were obtained for most cases while maintaining plan quality and meeting established clinical criteria (e.g., RTOG‐0238 for prostate radiotherapy and RTOG‐0618 for lung radiosurgery). Although the number of nodes was reduced, the remaining nodes still encompassed a large non‐coplanar workspace. Conclusion : New optimization techniques are described that significantly reduce delivery times for robotic radiosurgery, SBRT, and IMRT treatments. Reduced treatment times increase patient throughput and improve patient comfort. Conflict of Interest : The authors are employed by Accuray Incorporated, Sunnyvale, CA.
Reconstruction of knee anatomy from single-plane fluoroscopic x-ray based on a nonlinear statistical shape model (2021)

<b>Purpose:</b> Reconstruction of patient anatomy is critical to patient-specific instrument (PSI) design in total joint replacement (TJR). Conventionally, computed tomography (CT) and magnetic resonance imaging (MRI) are used to obtain the patient anatomy as they are accurate imaging modalities. However, computing anatomical landmarks from the patient anatomy for PSIs requires either high-resolution CT, increasing time of scan and radiation exposure to the patient, or longer and more expensive MRI scans. As an alternative, reconstruction from single-plane fluoroscopic x-ray provides a cost-efficient tool to obtain patient anatomical structures while allowing capture of the patient's joint dynamics, important clinical information for TJR. <b>Approach:</b> We present a three-dimensional (3D) reconstruction scheme that automatically and accurately reconstructs the 3D knee anatomy from single-plane fluoroscopic x-ray based on a nonlinear statistical shape model called kernel principal component analysis. To increase robustness, we designed a hybrid energy function that integrated feature and intensity information as a similarity measure for the 3D reconstruction. <b>Results:</b> We evaluated the proposed method on five subjects during deep knee bending: the root-mean-square accuracy is <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>1.19</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.36</mml:mn> <mml:mtext> </mml:mtext> <mml:mi>mm</mml:mi></mml:mrow> </mml:math> for reconstructed femur and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>1.15</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.17</mml:mn> <mml:mtext> </mml:mtext> <mml:mi>mm</mml:mi></mml:mrow> </mml:math> for reconstructed tibia. <b>Conclusions:</b> The proposed method demonstrates reliable 3D bone model reconstruction accuracy with successful elimination of prior 3D imaging and reduction of manual labor and radiation dose on patient as well as characterizing joints in motion. This method is promising for applications in medical interventions such as patient-specific arthroplasty design, surgical planning, surgical navigation, and understanding anatomical and dynamic characteristics of joints.
File System in Data-Centric Computing (2019)

The moving computation on the edge or near to data is the new trend that can break the bandwidth wall and to unleash the power of next generation NVM or SCM memory. File system is the important OS subsystem that plays the role of mediator between the user-space application and storage device. The key goal of the file system is to represent the file abstraction and to build the files' namespace. In the current paradigm the file system needs to copy the metadata and user data in the DRAM of the host with the goal to access and to modify the user data on the host side. The DAX approach doesn't change the concept but to build the way to bypass the page cache via the direct access to file's content in persistent memory. Generally speaking, for the case of data-centric computing, the file system needs to solve the opposite task not to copy data into page cache but to deliver the processing activity near data on the storage device side.
Embracing Disciplinary Diversity in Visualization (2022)

Visualization is inherently diverse and is employed in countless domains to enable meaningful interactions with data. There is tremendous opportunity in embracing disciplinary diversity to widen the pool of contributions to visualization design, research, and practice. We describe a few examples of diverse approaches: scientific method, design studies, tool building, participatory research, and co-design with communities, data storytelling, and autographic design. We discuss opening the aperture, pushing back on what we, as a community, deem acceptable and rigorous, and what can be gained through greater inclusivity of approaches.
Identification of aminopyrimidine‐sulfonamides as potent modulators of Wag31‐mediated cell elongation in mycobacteria (2016)

There is an urgent need to discover new anti-tubercular agents with novel mechanisms of action in order to tackle the scourge of drug-resistant tuberculosis. Here, we report the identification of such a molecule - an AminoPYrimidine-Sulfonamide (APYS1) that has potent, bactericidal activity against M. tuberculosis. Mutations in APYS1-resistant M. tuberculosis mapped exclusively to wag31, a gene that encodes a scaffolding protein thought to orchestrate cell elongation. Recombineering confirmed that a Gln201Arg mutation in Wag31 was sufficient to cause resistance to APYS1, however, neither overexpression nor conditional depletion of wag31 impacted M. tuberculosis susceptibility to this compound. In contrast, expression of the wildtype allele of wag31 in APYS1-resistant M. tuberculosis was dominant and restored susceptibility to APYS1 to wildtype levels. Time-lapse imaging and scanning electron microscopy revealed that APYS1 caused gross malformation of the old pole of M. tuberculosis, with eventual lysis. These effects resembled the morphological changes observed following transcriptional silencing of wag31 in M. tuberculosis. These data show that Wag31 is likely not the direct target of APYS1, but the striking phenotypic similarity between APYS1 exposure and genetic depletion of Wag31 in M. tuberculosis suggests that APYS1 might indirectly affect Wag31 through an as yet unknown mechanism.
Research and Development of Rehabilitation System for Upper Limbs (2018)

There are lots of patients with movement impairment who are paralyzed by brain stroke. Sufficient rehabilitative training is necessary for these patients. Rehabilitation support systems using force display devices are expected to enhance the motivation of patients and rehabilitation effects. Also, application of robotics and virtual reality technology make possible the quantitative evaluations of upper limb functions and enhance the qualitative effect of training. In this paper, the research and development of rehabilitation system for upper Limbs PLEMO-Y (Advanced) using nano-particle MR-fluid brakes are presented.