Miracle-dz/UniFAR-FTUs huggingface dataset:
Dose consumption for quality assurance and maintenance with a dedicated IORT accelerator

Dedicated accelerators for intra‐operative radiation therapy (IORT) are operated at high dose rates in order to achieve short treatment times within which the anaesthetisized patient must be remotely monitored (e.g. via video cameras and telemetric anesthesia instruments). Due to these high dose rates, large doses accumulate from the irradiations necessary for quality assurance (QA) and maintenance. In practice, the dose load for QA, maintenance and repairs will probably far exceed the patient dose. The total dose consumption for all of these actions must be considered in facility licensing, in radiation protection assessments, and in the shielding calculations. Dose consumption for QA and maintenance was assessed for the dedicated IORT facility at Heidelberg University for the operation period between June 1991 and December 2007 (15.5 years). Average doses per year of 5847 Gy for maintenance and repairs and 3686 Gy for QA were needed during this period. The causes and composition of these high doses are analyzed and discussed separately for irradiations that need to be performed in the operation room and which, with a mobile accelerator, may be performed in a separate QA vault. PACS number: 87.56. bd
Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems

Diagnosis and correction of performance issues in modern, large-scale distributed systems can be a daunting task, since a single developer is unlikely to be familiar with the entire system and it is hard to characterize the behavior of a software system without completely understanding its internal components. This paper describes DISTALYZER, an automated tool to support developer investigation of performance issues in distributed systems. We aim to leverage the vast log data available from large scale systems, while reducing the level of knowledge required for a developer to use our tool. Specifically, given two sets of logs, one with good and one with bad performance, DISTALYZER uses machine learning techniques to compare system behaviors extracted from the logs and automatically infer the strongest associations between system components and performance. The tool outputs a set of inter-related event occurrences and variable values that exhibit the largest divergence across the logs sets and most directly affect the overall performance of the system. These patterns are presented to the developer for inspection, to help them understand which system component(s) likely contain the root cause of the observed performance issue, thus alleviating the need for many human hours of manual inspection. We demonstrate the generality and effectiveness of DISTALYZER on three real distributed systems by showing how it discovers and highlights the root cause of six performance issues across the systems. DISTALYZER has broad applicability to other systems since it is dependent only on the logs for input, and not on the source code.
Online recalibration of the state estimators for a system with moving boundaries using sparse discrete-in-time temperature measurements

In this paper, the problem of estimation is considered for a class of processes involving solidifying materials. These processes have natural nonlinear infinite-dimensional representations, and measurements are only available at particular points in the caster, each corresponding to a single discrete-in-time boundary measurement in the Stefan problem partial differential equation (PDE) mathematical model. The results for two previous estimators are summarized. The first estimator is based on the Stefan problem, using continuous instead of discrete-in-time boundary measurements. The second estimator employs a process model that is more detailed than the Stefan Problem, but with no output injection to reduce estimation error, other than model calibration. Both of these estimation frameworks are extended in the current paper to a more realistic sensing setting. First, an estimator is considered that uses the Stefan Problem under some simplifying but practically justified assumptions on the unknowns in the process. The maximum principle for parabolic PDEs is employed to prove that online calibration using a single discrete-in-time temperature measurement can provide removal of the estimation error arising due to mismatch of a single unknown parameter in the model. Although unproven, this result is then shown in simulation to apply to the more detailed process model.
Characterization of poly(3-hexylthiophene) based Schottky diodes

ii TABLE OF CONTENTS . iii LIST OF TABLES . v LIST OF FIGURES . vi LIST OF ABBREVIATIONS . vii ACKNOWLEDGEMENTS . viii DEDICATION . ix 1 INTRODUCTION . 1 1.1 THESIS ORGANIZATION . 2 1.2 CONJUGATED POLYMERS . 3 1.3 POLYTHIOPHENE . 5 1.4 THE SCHOTTKY JUNCTION . 7 1.5 CONCLUSIONS . 8 2 EXPERIMENTAL METHODS . 10 2.1 DESIGN . 10 2.2 FABRICATION . 12 2.3 MEASUREMENT . 16 2.4 CONCLUSIONS . 17 3 DC MEASUREMENTS . 18 3.1 MEASUREMENT DESCRIPTION . 18 3.2 MODEL DESCRIPTION . 19 3.3 MODEL FITTING . 23 3.4 FIT RESULTS . 24 3.5 CONCLUSIONS . 29 4 SMALL SIGNAL AC MEASUREMENTS . 30 4.1 DESCRIPTION OF THE C-V TECHNIQUE . 30 4.2 GENERAL CONSIDERATIONS OF THE CV TECHNIQUE . 31 4.3 SPECIFIC CONSIDERATIONS WITH P3HT . 32 4.4 MEASUREMENT DESCRIPTION . 33 4.5 DATA PREPROCESSING . 33 iv 4.6 DATA PROCESSING . 34 4.7 FIT RESULTS . 37 4.8 CONCLUSIONS . 41 5 PRACTICAL DIODE USES . 42 5.1 PEAK RECTIFIER . 42 5.2 SMALL SIGNAL USE . 45 5.3 CONCLUSIONS . 46 6 CONCLUSION . 47 6.1 GENERAL CONCLUSIONS . 47 6.2 FUTURE WORK . 48 BIBLIOGRAPHY . 50
A Sub-10 mV Power Converter With Fully Integrated Self-Start, MPPT, and ZCS Control for Thermoelectric Energy Harvesting

An inductive power converter for thermoelectric generator (TEG) is presented in this paper. A novel redundant inverter ring oscillator is proposed to self-oscillate in a very low supply voltage down to 45 mV. An additional self-start assist circuit with a differential clock booster and an exponential charge pump is implemented in the power converter to achieve lower self-start voltage. Boundary continuous-conduction mode, zero current switch (ZCS), and maximum power point tracking (MPPT) features have been incorporated into the power converter. Selective turn-ON dynamical-comparators have been used in ZCS and MPPT circuits to save power and achieve minimum operating supply voltage. Fabricated in 65-nm CMOS process, the chip can self-start at 210 mV. After self-start, only 7-mV input voltage is needed to sustain the power converter operation. With a TEG open circuit voltage of 80 mV and internal resistance of <inline-formula> <tex-math notation="LaTeX">$5~\Omega $ </tex-math></inline-formula>, the chip can provide a maximum output power of <inline-formula> <tex-math notation="LaTeX">$229~\mu \text{W}$ </tex-math></inline-formula> with end-to-end efficiency of 71.5%.
A feasibility study of multislice X‐ray CT imaging of gel dosimeters using the “zero scan” method

This study extends the ‘zero scan’ method for CT imaging of polymer gel dosimeters to include multislice acquisitions. Multislice CT images consisting of 24 slices of 1.2 mm thickness were acquired of an irradiated polymer gel dosimeter and processed with the zero scan technique. The results demonstrate that zero scan‐based gel readout can be successfully applied to generate a three‐dimensional image of the irradiated gel field. Compared to the raw CT images, the processed figures and cross‐gel profiles demonstrated reduced noise and clear visibility of the penumbral region. Moreover, these improved results further highlight the suitability of this method in volumetric reconstruction with reduced CT data acquisition per slice. This work shows that 3D volumes of irradiated polymer gel dosimeters can be acquired and processed with X‐ray CT. PACS number: 87.57. Q‐, 87.57. nf, 87.55. ‐x
Bio-inspired active amplification in a MEMS microphone using feedback computation

Auditory signal processing relies on feedback mechanisms between mechanical and electrical systems that work together to enhance acoustic conditioning. In this paper a nonlinear amplification mechanism in the mosquito's auditory system is exploited as a model of inspiration. An acoustic system that provides active amplification of sound was developed using feedback computation integrated with a MEMS microphone to implement the concept. Experimental results generated by a purpose-built embedded system show signal amplification and hysteresis which replicate the response shown by the biological mosquito's hearing system as a function of input sound intensity.
An Enhanced Soft Vibrotactile Actuator Based on ePVC Gel with Silicon Dioxide Nanoparticles

In this paper, we propose a soft vibrotactile actuator made by mixing silicon dioxide <inline-formula> <tex-math notation="LaTeX">${\mathrm{(SiO}}_{2})$</tex-math><alternatives> <inline-graphic xlink:href="kim-ieq1-2808176.gif"/></alternatives></inline-formula> nanoparticles and plasticized PVC gel. The effect of the silicon dioxide nanoparticles in the plasticized PVC gel for the haptic performance is investigated in terms of electric, dielectric, and mechanical properties. Furthermore, eight soft vibrotactile actuators are prepared as a function of the <inline-formula><tex-math notation="LaTeX">${\mathrm{SiO}}_{2}$</tex-math> <alternatives><inline-graphic xlink:href="kim-ieq2-2808176.gif"/></alternatives></inline-formula> content. Experiments are conducted to examine the haptic performance of the prepared eight soft vibrotactile actuators and to find the best weight ratio of the plasticized PVC gel to the <inline-formula><tex-math notation="LaTeX">${\mathrm{SiO}}_{2}$ </tex-math><alternatives><inline-graphic xlink:href="kim-ieq3-2808176.gif"/></alternatives></inline-formula> nanoparticles. The experiments should show that the plasticized PVC gel with silicon dioxide nanoparticles improves the haptic performance of the plasticized PVC gel-based vibrotactile actuator, and the proposed vibrotactile actuator can create a variety of haptic sensations in a wide frequency range.
Antimicrobial Potential of Epiphytic Bacteria Associated With Seaweeds of Little Andaman, India

Seaweeds of the intertidal regions are a rich source of surface associated bacteria and are potential source of antimicrobial molecules. In the present study, 77 epiphytic isolates from eight different algae collected from Little Andaman were enumerated. On testing for their antimicrobial activities against certain pathogens twelve isolates showed positive and six of them showed significant antimicrobial inhibition zone against Shigella boydii type 1, Shigella flexneri type 2a, Shigella dysenteriae type 5, Enterotoxigenic Escherichia coli O115, Enteropathogenic E. coli serotype O114, Vibrio cholera; O1 Ogawa, Aeromonas hydrophila, Klebsiella pneumoniae, Staphylococcus aureus. Based on the activity these six isolates (G1C, G2C, G3C, UK, UVAD, and Tor1) were identified by 16S rRNA gene sequence and were found to belong to the phyla Firmicutes and Proteobacteria. Purified antimicrobial compounds obtained from these isolates were identified by GC-MS. Furan derivatives were identified from G2C Pseudomonas stutzeri KJ849834, UVAD Alcanivorax dieselolei KJ849833, UK Vibrio sp. KJ849837, Tor1 Exiguobacterium profundum KJ849838. While 2-Pyrrolidinone, Phenol, 2, 4-bis (1, 1-dimethylethyl) were from G3C Vibrio owensii KJ849836 and (1-Allylcyclopropyl) methanol from the extracts of G1C Bacillus sp. KJ849835. The results of the present study shows that these six potent isolates isolated from the seaweeds are found to be a source of antimicrobial compounds.
The Relationship between the Expression of Ethylene-Related Genes and Papaya Fruit Ripening Disorder Caused by Chilling Injury

Papaya (Carica papaya L.) is sensitive to low temperature and easy to be subjected to chilling injury, which causes fruit ripening disorder. This study aimed to investigate the relationship between the expression of genes related to ethylene and fruit ripening disorder caused by chilling injury. Papaya fruits were firstly stored at 7°C and 12°C for 25 and 30 days, respectively, then treated with exogenous ethylene and followed by ripening at 25°C for 5 days. Chilling injury symptoms such as pulp water soaking were observed in fruit stored at 7°C on 20 days, whereas the coloration and softening were completely blocked after 25 days, Large differences in the changes in the expression levels of twenty two genes involved in ethylene were seen during 7°C-storage with chilling injury. Those genes with altered expression could be divided into three groups: the group of genes that were up-regulated, including ACS1/2/3, EIN2, EIN3s/EIL1, CTR1/2/3, and ERF1/3/4; the group of genes that were down-regulated, including ACO3, ETR1, CTR4, EBF2, and ERF2; and the group of genes that were un-regulated, including ACO1/2, ERS, and EBF1. The results also showed that pulp firmness had a significantly positive correlation with the expression of ACS2, ACO1, CTR1/4, EIN3a/b, and EBF1/2 in fruit without chilling injury. This positive correlation was changed to negative one in fruit after storage at 7°C for 25 days with chilling injury. The coloring index displayed significantly negative correlations with the expression levels of ACS2, ACO1/2, CTR4, EIN3a/b, ERF3 in fruit without chilling injury, but these correlations were changed into the positive ones in fruit after storage at 7°C for 25 days with chilling injury. All together, these results indicate that these genes may play important roles in the abnormal softening and coloration with chilling injury in papaya.
Effects of fiber size on short‐term creep behavior of wood fiber/HDPE composites

When natural fiber-thermoplastic composites are used in long-term loading applications, investigating creep behavior is essential. The creep behavior of high-density polyethylene (HDPE)-based composites reinforced with four sizes of wood fibers (WFs) (120–80, 80–40, 40–20, and 20–10 mesh) was investigated. The instantaneous deformation and creep strain of all WF/HDPE composites increased at a fixed loading level when the temperature was increased incrementally from 25 to 85°C. At a constant loading level, composites containing the larger-sized WFs had better creep resistance than those containing smaller-sized fibers at all measured temperatures. The creep properties of composites with smaller-sized WFs were more temperature-dependent than those with larger-sized WFs. Two creep models (Burger's model and Findley's power law model) were used to fit the measured creep data. A time–temperature superposition principle calculation was attempted for long-term creep prediction. The Findley model fitted the composite creep curves better than the four-element Burger's model. From the predicted creep response of the WF/HDPE composites, two groups of small fibers (120–80 and 80–40 mesh) had the lowest creep resistance over long periods of time at the reference temperature of 25°C. The largest WFs (10–20 mesh) provided the best composite creep resistance. POLYM. ENG. SCI., 55:693–700, 2015. © 2014 Society of Plastics Engineers
A Computational Model for Improving the Accuracy of Multi-criteria Recommender Systems

Artificial neural networks are complex biologically inspired algorithms made up of highly distributed, adaptive and self-organizing structures that make them suitable for optimization problems. They are made up of a group of interconnected nodes, similar to the great networks of neurons in the human brain. So far, artificial neural networks have not been applied to user modeling in multi-criteria recommender systems. This paper presents neural networks-based user modeling technique that exploits some of the characteristics of biological neurons for improving the accuracy of multi-criteria recommendations. The study was based upon the aggregation function approach that computes the overall rating as a function of the criteria ratings. The proposed technique was evaluated using different evaluation metrics, and the empirical results of the experiments were compared with that of the single rating-based collaborative filtering and two other similarity-based modeling approaches. The two similarity-based techniques used are: the worst-case and the average similarity techniques. The results of the comparative analysis have shown that the proposed technique is more efficient than the two similarity-based techniques and the single rating collaborative filtering technique.
A NEW POPULATION OF HIGH-z, DUSTY Lyα EMITTERS AND BLOBS DISCOVERED BY WISE: FEEDBACK CAUGHT IN THE ACT?

By combining data from the NASA Wide-field Infrared Survey Explorer (WISE) mission with optical spectroscopy from the W. M. Keck telescope, we discover a mid-IR color criterion that yields a 78% success rate in identifying rare, typically radio-quiet, 1.6 ≲ z ≲ 4.6 dusty Lyα emitters (LAEs). Of these, at least 37% have emission extended on scales of 30–100 kpc and are considered Lyα “blobs” (LABs). The objects have a surface density of only ∼0.1 deg−2, making them rare enough that they have been largely missed in deep, small area surveys. We measured spectroscopic redshifts for 92 of these galaxies, and find that the LAEs (LABs) have a median redshift of 2.3 (2.5). The WISE photometry coupled with data from Herschel (Herschel is an ESA space observatory with science instruments provided by European-led Principal Investigator consortia and with important participation from NASA) reveals that these galaxies are in the Hyper Luminous IR galaxy regime (LIR ≳ 1013–1014 L☉) and have warm colors. They are typically more luminous and warmer than other dusty, z ∼ 2 populations such as submillimeter-selected galaxies and dust-obscured galaxies. These traits are commonly associated with the dust being illuminated by intense active galactic nucleus activity. We hypothesize that the combination of spatially extended Lyα, large amounts of warm IR-luminous dust, and rarity (implying a short-lived phase) can be explained if the galaxies are undergoing brief, intense “feedback” transforming them from an extreme dusty starburst/QSO into a mature galaxy.
A Comparative Analysis Of Modified Binders: Original Asphalts And Materials Extracted From Existing Pavements

16. Abstract This research demonstrated the application of gel permeation chromatography (GPC) as an analytical tool to ascertain the amounts of polymer modifiers in polymer modified asphalt cements, which are soluble in eluting GPC solvents. The technique was applied to 29 samples from five refineries supplying asphalt mixes to Louisiana. Addition of recycled asphalt pavement (RAP) during the mixing process increases the asphaltene content with a corresponding decrease in the maltenes content. An assessment of the extent of oxidative aging of modified asphalt binders during the paving process confirmed minimal changes during the paving process. Field aging of mixes containing RAP is slower than that predicted by rolling thin film oven (RTFO) laboratory aging, suggesting that addition of 20 wt% RAP is beneficial. Although suppliers are using different types of poly(styrene-b-butadiene-b-styrene) (SBS) at different percentages to meet the requirements for a PG 70-22, the authors observed that 1 wt% up to 1.98 wt% polymer is added. To achieve PG 76-22, the authors observed that a minimum of 2 wt% polymer is added. The GPC test method can identify the type of polymer used as well as the percentages of polymer and asphaltenes present. The content of crystallizable species of selected asphalt binders determined by differential scanning calorimetry (DSC) is presented together with the binder glass transition temperature more accurately determined by dynamic mechanical analysis (DMA). A method for quantification of GPC solvent insoluble crumb rubber modifier present in crumb rubber modified binders was developed. The application of the GPC technique to forensic studies of pavement problem issues is demonstrated.
Immune Status, Strain Background, and Anatomic Site of Inoculation Affect Mouse Papillomavirus (MmuPV1) Induction of Exophytic Papillomas or Endophytic Trichoblastomas

Papillomaviruses (PVs) induce papillomas, premalignant lesions, and carcinomas in a wide variety of species. PVs are classified first based on their host and tissue tropism and then their genomic diversities. A laboratory mouse papillomavirus, MmuPV1 (formerly MusPV), was horizontally transmitted within an inbred colony of NMRI-Foxn1nu/Foxn1nu (nude; T cell deficient) mice of an unknown period of time. A ground-up, filtered papilloma inoculum was not capable of infecting C57BL/6J wild-type mice; however, immunocompetent, alopecic, S/RV/Cri-ba/ba (bare) mice developed small papillomas at injection sites that regressed. NMRI-Foxn1nu and B6.Cg-Foxn1nu, but not NU/J-Foxn1nu, mice were susceptible to MmuPV1 infection. B6 congenic strains, but not other congenic strains carrying the same allelic mutations, lacking B- and T-cells, but not B-cells alone, were susceptible to infection, indicating that mouse strain and T-cell deficiency are critical to tumor formation. Lesions initially observed were exophytic papillomas around the muzzle, exophytic papillomas on the tail, and condylomas of the vaginal lining which could be induced by separate scarification or simultaneous scarification of MmuPV1 at all four sites. On the dorsal skin, locally invasive, poorly differentiated tumors developed with features similar to human trichoblastomas. Transcriptome analysis revealed significant differences between the normal skin in these anatomic sites and in papillomas versus trichoblastomas. The primarily dysregulated genes involved molecular pathways associated with cancer, cellular development, cellular growth and proliferation, cell morphology, and connective tissue development and function. Although trichoepitheliomas are benign, aggressive tumors, few of the genes commonly associated with basal cell carcinoma or squamous cells carcinoma were highly dysregulated.
Estimation of Effective and Specific Permeability in the Mushy Zone of Steel Ingot by the Method of Seepage into Cylindrical Hole

Synopsis : The fluidity of the liquid in the solid-liquid coexisting zone of carbon steel was measured by the seepage of interdendritic liquid into a cylindrical hole formed in that zone. The effective permeability K has been determined in relation to the fraction of solid fs and cooling rate R, and the speciffc permeability k which depends on the dendrite morphology has been deduced from the effective permeability to give, ( 2 ) (11) The fraction of solid at which dendrites begin to form networks is 0.29•`0.30 depending on the cooling rate. The effective permeability is 6.3•~ 10-4 cm/s and the specific permeability is 6.0•~ l0cm2. On the other hand, the fraction of solid above which the liquid cannot flow through the dendrites decreases from 0.73 to 0.60 as the cooling rate increases from 0.033 to 0.15•Ž/s. The values of effective and specific permeability become constant, 1.6 •~ 10-6 cm/s and 2.1 •~ 10-11 cm2, respectively, although the fraction of solid is changed by the cooling rate. It has been shown that the effective permeability is mainly controlled by the specific permeability. The fluidity of silicen-free steel which contains 1% molybdenum is smaller than that of carbon steel.