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At least 1,693 records · Page 94

Efficient spectral and pseudospectral algorithms for 3D simulations of whistler-mode waves in a plasma

Efficient spectral and pseudospectral algorithms for simulation of linear and nonlinear 3D whistler waves in a cold electron plasma are developed. These algorithms are applied to the simulation of whistler waves generated by loop antennas and spheromak-like stationary waves of considerable amplitude. The algorithms are linearly stable and show good stability properties for computations of nonlinear waves over tens of thousands of time steps. Additional speedups by factors of 10-20 (comparing single core CPU and one GPU) are achieved by using graphics processors (GPUs), which enable efficient numerical simulation of the wave propagation on relatively high resolution meshes (tens of millions nodes) in personal computing environment. Comparisons of the numerical results with analytical solutions and experiments show good agreement. The limitations of the codes and the performance of the GPU computing are discussed.

97 MATHEMATICS AND COMPUTING↗

UV/chlorine advanced oxidation processes for degradation of contaminants in water and wastewater: A comprehensive review

Advanced oxidation processes (AOPs) have recently gained increasing attention as promising alternatives to conventional water and wastewater treatment technologies. As an AOP, there has been a growing interest in UV/chlorine due to its multiple disinfection modes and ability to maintain chlorine residuals in drinking water distribution systems. Compared to the popular UV/H 2 O 2 AOP treatment process, UV/chlorine AOP possesses several advantages including a higher radical production efficiency and a lower power demand. The process has recently been applied for the degradation of a wide range of natural and synthetic organic as well as inorganic compounds including pharmaceutical and personal care products, natural organic matter, herbicides and insecticides, taste and odor, and different types of water and wastewaters. The focus of the present work is to review and evaluate the efficiency of the UV/chlorine process on the oxidation of these pollutants. Here a critical overview is provided of the fundamentals of UV/chlorine, controlling factors of the process performance, and a comparison with other UV-based AOPs. The formation of disinfection by-products (DBPs), one of the concerns associated with UV/chlorine treatment, is discussed and strategies to tackle this obstacle are provided for future studies and applications.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗

Dirty bomb source term characterization and downwind dispersion: Review of experimental evidence

Dirty bombs are considered one of the easiest forms of radiological terrorism, a form of terrorism based on the deliberate use of radiological material to cause adverse effects in a target population. One U.S. Government official has even described a dirty bomb attack as “all but inevitable”. While people in the vicinity of the blast may experience acute radiation effects, people downwind may unknowingly be contaminated by the radioactive airborne particulate and face increased long-term cancer risk. The likelihood of increased cancer risk depends on the radionuclide used and its specific activity, its aerosolization potential, the particle sizes generated in the blast, and where a person is with respect to the detonation. Different studies have reported that plausible radionuclides for dirty bomb include 60 Co, 90 Sr, 137 Cs, 192 Ir, 241 Am based on their availability in commercial sources as well as safeguards, the amount needed for adverse health effects, previous mishandling of radionuclides and malicious uses. In order to have increased long-term cancer risk, the radionuclide would have to deposit inside the body by entering the respiratory tract and then possibly migrate to other organs or bones (ground shine is not considered in this paper because areas affected by the event will likely become inaccessible). This implies that the particles will have to be smaller than 10 μm to be inhaled. Experiments involving the detonation of dirty bombs have shown that particles or droplets smaller than 10 μm are generated, independently from the initial radionuclide or its state (e.g., powder, solution). Atmospheric tests have shown that in unobstructed terrain, the radionuclide laden cloud can travel kilometers downwind even for relatively small amounts of explosives. Furthermore, buildings in the path of the cloud can change the dose rate. For instance, in one experiment with a single building, the dose rate was 1–2 orders of magnitude lower behind the obstacle compared to its front face. For people walking around, the amount of particulate deposited on them and inhaled will depend on their path relative to the cloud, resulting in the counterintuitive result that the closer people may actually not be the ones more at risk because they could simply miss the bulk of the cloud in their wandering. In summary, the long-term cancer risk for people caught in a dirty bomb cloud away from the detonation requires considering where and when the people are, which radionuclide was used, and the layout of the obstacles (e.g., buildings, vegetation) in the path of the cloud.

63 RADIATION, THERMAL, AND OTHER ENVIRON. POLLUTAN↗

HCV kinetic and modeling analyses indicate similar time to cure among sofosbuvir combination regimens with daclatasvir, simeprevir or ledipasvir

Recent clinical trials of direct-acting-antiviral agents (DAAs) against hepatitis C virus (HCV) achieved >90% sustained virological response (SVR) rates, suggesting that cure often took place before the end of treatment (EOT). We sought to evaluate retrospectively whether early response kinetics can provide the basis to individualize therapy to achieve optimal results while reducing duration and cost. 58 chronic HCV patients were treated with 12-week sofosbuvir + simeprevir (n = 19), sofosbuvir + daclatasvir (n = 19), or sofosbuvir + ledipasvir in three French referral centers. HCV was measured at baseline, day 2, every other week, EOT and 12 weeks post EOT. Furthermore, mathematical modeling was used to predict the time to cure, i.e., <1 virus copy in the entire extracellular body fluid. All but one patient who relapsed achieved SVR. Mean age was 60 ± 11 years, 53% were male, 86% HCV genotype-1, 9% HIV coinfected, 43% advanced fibrosis (F3), and 57% had cirrhosis. At weeks 2, 4 and 6, 48%, 88% and 100% of patients had HCV <15 IU/ml, with 27%, 74% and 91% of observations having target not detected, respectively. Modeling results predicted that 23 (43%), 16 (30%), 7 (13%), 5 (9%) and 3 (5%) subjects were predicted to reach cure within 6, 8, 10, 12 and 13 weeks of therapy, respectively. The modeling suggested that the patient who relapsed would have benefitted from an additional week of sofosbuvir + ledipasvir. Adjusting duration of treatment according to the modeling predicts reduced medication costs of 43–45% and 17–30% in subjects who had HCV <15 IU/ml at weeks 2 and 4, respectively. Finally, the use of early viral kinetic analysis has the potential to individualize duration of DAA therapy with a projected average cost saving of 16–20% per 100-treated persons.

59 BASIC BIOLOGICAL SCIENCES↗

Asymmetric Assembly of Merkel Cell Polyomavirus Large T-Antigen Origin Binding Domains at the Viral Origin

The double-stranded DNA polyomavirus Merkel cell polyomavirus (MCV) causes Merkel cell carcinoma, an aggressive but rare human skin cancer that most often affects immunosuppressed and elderly persons. As in other polyomaviruses, the large T-antigen of MCV recognizes the viral origin of replication by binding repeating G(A/G)GGC pentamers. The spacing, number, orientation, and necessity of repeats for viral replication differ, however, from other family members such as SV40 and murine polyomavirus. We report here the 2.9 {angstrom} crystal structure of the MCV large T-antigen origin binding domain (OBD) in complex with a DNA fragment from the MCV origin of replication. Consistent with replication data showing that three of the G(A/G)GGC-like binding sites near the center of the origin are required for replication, the crystal structure contains three copies of the OBD. This stoichiometry was verified using isothermal titration calorimetry. The affinity for G(A/G)GGC-containing double-stranded DNA was found to be {approx} 740 nM, approximately 8-fold weaker than the equivalent domain in SV40 for the analogous region of the SV40 origin. The difference in affinity is partially attributable to DNA-binding residue Lys331 (Arg154 in SV40). In contrast to SV40, a small protein-protein interface is observed between MCV OBDs when bound to the central region of the origin. This protein-protein interface is reminiscent of that seen in bovine papilloma virus E1 protein. Mutational analysis indicates, however, that this interface contributes little to DNA binding energy.

59 BASIC BIOLOGICAL SCIENCES↗

Treating Too Lightly? Radiation Therapists' Experiences of Workplace Violence When Providing Care to Cancer Patients and Their Families

Workplace violence (WPV) is defined as any act in which a person is abused, threatened, intimidated, or assaulted during their employment. Despite an absence of published evidence, radiation therapists (RTs) are considered a “low-risk” profession for WPV. The aim of this research was to determine the incidence, severity, and impact of WPV on RTs perpetrated by patients and/or their caregivers.

62 RADIOLOGY AND NUCLEAR MEDICINE↗

“I'm Just Guessing These Answers!” An Evaluation of the (In)Accuracy of Patient-Reported Medical History Collected as Part of a Breast Imaging Program

Hundreds of thousands of Ontario women receive breast screening imaging each year. The patient's medical history is a vital tool used to personalize breast screening approaches. This study evaluated the accuracy of self-reported medical and imaging history in patients about to receive breast imaging procedures in a large urban Canadian hospital. The patient experience with using a blank screening form vs. a novel prefilled screening form was also evaluated.

62 RADIOLOGY AND NUCLEAR MEDICINE↗

Numerically approximating centrality for graph ranking guarantees

Many real-world datasets can be represented as graphs. Using iterative solvers to approximate graph centrality measures allows us to obtain a ranking vector on the nodes of the graph, consisting of a number for each vertex in the graph identifying its relative importance. In this study the centrality measures we use are Katz Centrality and PageRank. Given an approximate solution, we use the residual to accurately estimate how much of the ranking matches the ranking given by the exact solution. Using probabilistic matrix norms, we obtain bounds on the accuracy of the approximation compared to the exact solution with respect to the highly ranked nodes and apply numerical analysis to the computation of centrality with iterative methods. This relates the numerical accuracy of the linear solver to the data analysis accuracy of finding the correct ranking. In particular, we answer the question of which pairwise rankings are reliable given an approximate solution to the linear system. Experiments on many real-world undirected and directed networks up to several million vertices and several hundred million edges validate our theory and show that we are able to accurately estimate large portions of the approximation. We also analyze the difference between global centrality scores and personalized scores (w.r.t. specific seed vertices). By analyzing convergence error, we develop confidence in the ranking schemes of data mining. We show we are able to accurately guarantee ranking of vertices with an approximation to centrality metrics faster than current methods.

97 MATHEMATICS AND COMPUTING↗

Improved low-cost, non-hazardous, all-iron cell for the developing world

A low-cost, non-hazardous personal-power system based on an aqueous all-iron electrochemical cell is demonstrated in this paper. The system is intended to be assembled and operated by developing-world households that lack sufficient access to electricity, thereby enabling LED lighting or mobile phone charging on demand. Lab-scale hardware is used to assess the performance of individual cell components. It is found that coffee filter paper is an effective low-cost separator. Carbon felt is a low-cost electrode material, and its performance and wetting by the electrolyte solution is greatly improved by pre-treatment with sulfuric acid. The carbon felt does not degrade after a week of daily use. By using these components, performance of the system is significantly improved over the previous baseline, with power density more than doubling to 40 mW cm -2 , and iron utilization improving from 78% to 88%. The operating cost is estimated to be less than US$0.03 per mobile phone charge. Based on the lab-scale results, a stand-alone prototype consumer product is designed, fabricated, and tested. It successfully provides 2.5 h of LED illumination while consuming 200 mL of electrolyte solution via gravity feed. Finally, we anticipate these results will enable deployment of this innovative system to energy-impoverished individuals in the developing world.

24 POWER TRANSMISSION AND DISTRIBUTION↗

Laboratory biological safety cabinet (BSC) explosion

Scientists at universities across Iraq are actively working to report actual incidents and accidents occurring in their laboratories in order to raise awareness and encourage openness, leading to widespread adoption of robust Chemical Safety and Security (CSS) practices. This manuscript is the first in a series of five case studies describing laboratory incidents and accidents in Iraqi university laboratories in order to share lessons learned and minimize the possibility of similar incidents in the future. In this study, we describe a serious event that resulted in a postgraduate student sustaining serious injuries when the biological safety cabinet (BSC) she was using exploded. Of particular note, the paper highlights how a combination of failures and deficiencies at many levels within an organization and its technical community (rather than a single piece of faulty equipment or the careless behavior of one person) can lead to a dangerous, potentially life-threatening incident. By openly sharing what happened along with the lessons learned from the accident, we hope to minimize the possibility of another researcher being injured in a similar incident in the future.

biological safety cabinet↗

Mining the human urine proteome for monitoring renal transplant injury

The human urinary proteome reflects systemic and inherent renal injury perturbations and can be analyzed to harness specific biomarkers for different kidney transplant injury states. 396 unique urine samples were collected contemporaneously with an allograft biopsy from 396 unique kidney transplant recipients. Centralized, blinded histology on the graft was used to classify matched urine samples into categories of acute rejection (AR), chronic allograft nephropathy (CAN), BK virus nephritis (BKVN), and stable graft (STA). Liquid chromatography–mass spectrometry (LC-MS) based proteomics using iTRAQ based discovery (n=108) and global label-free LC-MS analyses of individual samples (n=137) for quantitative proteome assessment were used in the discovery step. Selected reaction monitoring (SRM) was applied to identify and validate minimal urine protein/peptide biomarkers to accurately segregate organ injury causation and pathology on unique urine samples (n=151). A total of 958 proteins were initially quantified by iTRAQ, 87% of which were also identified among 1574 urine proteins detected in LC-MS validation. 103 urine proteins were significantly (p<0.05) perturbed in injury and enriched for humoral immunity, complement activation, and lymphocyte trafficking. A set of 131 peptides corresponding to 78 proteins were assessed by SRM for their significance in an independent sample cohort. A minimal set of 35 peptides mapping to 33 proteins, were modeled to segregate different injury groups (AUC =93% for AR, 99% for CAN, 83% for BKVN). Urinary proteome discovery and targeted validation identified urine protein fingerprints for non-invasive differentiation of kidney transplant injuries, thus opening the door for personalized immune risk assessment and therapy.

Environmental Molecular Sciences Laboratory↗

Genetic variation and radiation quality impact cancer promoting cellular phenotypes in response to HZE exposure

There exists a wide degree of genetic variation within the normal human population which includes disease free individuals with heterozygote defects in major DNA repair genes. A lack of understanding of how this genetic variation impacts cellular phenotypes that inform cancer risk post heavy ion exposure poses a major limitation in developing personalized cancer risk assessment astronauts. We initiated a pilot study with Human Mammary Epithelial Cell strains (HMEC) derived from wild type, a p16 silenced derivative of wild type, and various genetic variants that were heterozygote for DNA repair genes; BRCA1, BRCA2 and ATM. Cells strains were exposed to different high and low LET radiation qualities to generate both simple and complex lesions and centrosome aberrations were examined as a surrogate marker of genomic instability and cancer susceptibility post different exposures. Our results indicate that centrosome aberration frequency is higher in the genetic variants under study. The aberration frequency increases with dose, complexity of the lesion generated by different radiation qualities and age of the individual. This increase in genomic instability correlates with elevated check-point activation post radiation exposure. These studies suggest that the influence of individual genetics on cell cycle regulation could modify the degree of early genomic instability in response to complex lesions and potentially define cancer predisposition in response to HZE exposure. These results will have significant implications in estimating cancer susceptibility in genetically variant individuals exposed to HZE particles.

59 BASIC BIOLOGICAL SCIENCES↗

Intrinsically stretchable neuromorphic devices for on-body processing of health data with artificial intelligence

For leveraging wearable technologies to advance precision medicine, personalized and learning-based analysis of continuously acquired health data is indispensable, for which neuromorphic computing could provide the most efficient implementation of artificial intelligence (AI) data processing. For realizing on-body neuromorphic computing, skin-like stretchability is required, but yet to be combined with the suite of desired neuromorphic metrics, including linear, symmetric weight update, and sufficient state retention, for achieving high computing efficiency. Here, we report an intrinsically stretchable neuromorphic device based on an electrochemical transistor, which provides a large number (>800) of states, linear/symmetric weight update, excellent switching endurance (>100 million), good state retention (>10 4 s), together with high stretchability of 100% strain. Further integration into a prototype array successfully realized the implementation of vector-matrix multiplication even at 100% strain. Finally, we demonstrate the feasibility of implementing AI-based classification of health signals (as exemplified by electrocardiograms) with a high accuracy that is minimally influenced by the stretched state of the neuromorphic hardware. Finally, this work breaks the ground for combining AI data analysis into skin-like wearable electronics for achieving human-integrated/mimetic intelligent systems.

60 APPLIED LIFE SCIENCES↗

Porous Janus materials with unique asymmetries and functionality

Porous Janus materials have attracted widespread attention due to their asymmetry in wettability, charge, pore size or structure, thermal/electrical conductivity, and chemical activity, among other properties. Multifunction integration and unique directional manipulation of liquid, ions, or gas within porous Janus materials enable rapid progress in diverse applications such as water-oil separation, fog collection, personal moisture and healthcare management, energy conversion, desalination, sensor devices, and biomedical applications. Additionally, compared with conventional homogeneous materials, porous Janus materials not only showcase superior performance and energetic potential but also open up new applications by virtue of the synergistic or independent effects of asymmetry. This in-depth review systematically analyzes the research progress of porous Janus materials, highlighting fabrication strategies, synergistic/independent work mechanisms, and emerging advanced applications. Finally, ongoing challenges and outlook for the future research of porous Janus materials are presented.

36 MATERIALS SCIENCE↗

The incidence of burnout or compassion fatigue in medical dosimetrists as a function of various stress and psychologic factors

ABSTRACT: Burnout and compassion fatigue (CF) adversely affect medical professionals, including those employed in radiation oncology. Previously conducted research acknowledged the presence of burnout in populations of radiation therapists, radiation oncologists, and oncology nursing staff. The aim of the following research was to measure the incidence of burnout or CF in the specific population of medical dosimetrists surveyed. As professional members of the radiation oncology team, this group had not been included in published research data to date. The hypothesis of the subsequent study stated that a comparable incidence of burnout would be observed among medical dosimetrists as had been reported by earlier researchers for a population of radiation therapists. A survey tool based on the Maslach Burnout Inventory (MBI) and distributed to full members of the American Association of Medical Dosimetrists (AAMD) was utilized as the research measurement method. Results obtained indicated an incidence rates of burnout or CF for medical dosimetrists were less than the rates previously measured for radiation therapists (53% vs 11% for emotional exhaustion [EE] and 45% vs 27% for depersonalization [DP]). The incidence of burnout was based on the Burnout Inventory (BI) developed for the research project. Each of the subscales, EE, DP, and decreased personal accomplishment (PA), was considered and analyzed independently. Although not as prevalent among medical dosimetrists as a variety of additional radiation oncology professionals, a significant portion of the population demonstrated signs of burnout or CF. Future concerns abound for the population of medical dosimetrists as a large number of members scored positive for intermediate risk of burnout and CF. Additionally, a large portion of the population was found to be rapidly approaching retirement.

61 RADIATION PROTECTION AND DOSIMETRY↗

Heart-sparing radiotherapy in patients with breast cancer: What are the techniques used in the clinical routine?

The aim of this study was to understand the practice of care in German-speaking countries with regard to heart-sparing radiotherapy techniques. Between August 2015 and September 2015, an e-mail/fax-based survey was sent to radiation oncology departments in Germany, Austria, and the German-speaking Switzerland. The questionnaire was divided into 3 chapters: a general chapter on the department, a chapter specific for heart-sparing techniques in patients with breast cancer, and a third chapter on personal beliefs on the topic of heart sparing in patients with breast cancer. A total of 82 radiation oncology departments answered the questionnaire: 16 university clinics and 66 other departments. In general, heart-sparing techniques are being offered by 90.2% of departments for radiation oncology in the German-speaking countries. However, in the clinical routine, 87.7% of institutions use heart-sparing techniques in less than 50% of patients with breast cancer. Heart-sparing techniques are especially provided for patients with left-sided breast cancer (80%), patients after mastectomy (52.5%), and when the mammaria interna lymph drainage vessels are irradiated (41.3%). In 46.3% of departments, there are written internal guidelines for heart sparing in patients with breast cancer. Breathing-adapted radiotherapy is used as the most frequent heart-sparing technique in 64.7% of the institutions, followed by intensity-modulated radiation therapy, which is most frequently used by 22.1%. The only significant difference between university hospitals and other departments was seen for the offering of partial breast irradiation. The most commonly used heart-sparing technique is breathing-adapted radiotherapy, but there is no coherent approach for heart sparing in patients with breast cancer in the German-speaking countries. Overall, all options for cardiac protection/cardiac avoidance have their advantages and disadvantages, with deep inspiration breath-hold radiotherapyhaving the most clear data, which should be the preferred choice when using heart-sparing techniques.

61 RADIATION PROTECTION AND DOSIMETRY↗

Inactivation of multiple human pathogens by Fathhome's dry sanitizer device: Rapid and eco-friendly ozone-based disinfection

SARS-CoV-2 spread rapidly, causing millions of deaths across the globe. As a result, demand for medical supplies and personal protective equipment (PPE) surged and supplies dwindled. Separate entirely, hospital-acquired infections have become commonplace and challenging to treat. To explore the potential of novel sterilization techniques, this study evaluated the disinfection efficacy of Fathhome's ozone-based, dry-sanitizing device by dose and time response. Inactivation of human pathogens was tested on non-porous (plastic) surfaces. 95.42-100% inactivation was observed across all types of vegetative microorganisms and 27.36% inactivation of bacterial endospores tested, with no residual ozone detectable after completion. These results strongly support the hypothesis that Fathhome's commercial implementation of gas-based disinfection is suitable for rapid decontamination of a wide variety of pathogens on PPE and other industrially relevant materials.

59 BASIC BIOLOGICAL SCIENCES↗

A comparison of machine learning surrogate models of street-scale flooding in Norfolk, Virginia

Low-lying coastal cities, exemplified by Norfolk, Virginia, face the challenge of street flooding caused by rainfall and tides, which strain transportation and sewer systems and can lead to personal and property damage. While high-fidelity, physics-based simulations provide accurate predictions of urban pluvial flooding, their computational complexity renders them unsuitable for real-time applications. Using data from Norfolk rainfall events between 2016 and 2018, this study compares the performance of a previous surrogate model based on a random forest algorithm with two deep learning models: Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU). The comparison of deep learning to the random forest algorithm is motivated by the desire to utilize a machine learning architecture that allows for the future inclusion of common uncertainty quantification techniques and the effective integration of relevant, multi-modal features.

54 ENVIRONMENTAL SCIENCES↗