Resistor Network Research Articles

Loss of the yeast transporter Agp2 upregulates the pleiotropic drug-resistant pump Pdr5 and confers resistance to the protein synthesis inhibitor cycloheximide.

The transmembrane protein Agp2, initially shown as a transporter of L-carnitine, mediates the high-affinity transport of polyamines and the anticancer drug bleomycin-A5. Cells lacking Agp2 are hyper-resistant to polyamine and bleomycin-A5. In these earlier studies, we showed that the protein synthesis inhibitor cycloheximide blocked the uptake of bleomycin-A5 into the cells suggesting that the drug uptake system may require de novo synthesis. However, our recent findings demonstrated that cycloheximide, instead, induced rapid degradation of Agp2, and in the absence of Agp2 cells are resistant to cycloheximide. These observations raised the possibility that the degradation of Agp2 may allow the cell to alter its drug resistance network to combat the toxic effects of cycloheximide. In this study, we show that membrane extracts from agp2Δ mutants accentuated several proteins that were differentially expressed in comparison to the parent. Mass spectrometry analysis of the membrane extracts uncovered the pleiotropic drug efflux pump, Pdr5, involved in the efflux of cycloheximide, as a key protein upregulated in the agp2Δ mutant. Moreover, a global gene expression analysis revealed that 322 genes were differentially affected in the agp2Δ mutant versus the parent, including the prominent PDR5 gene and genes required for mitochondrial function. We further show that Agp2 is associated with the upstream region of the PDR5 gene, leading to the hypothesis that cycloheximide resistance displayed by the agp2Δ mutant is due to the derepression of the PDR5 gene.

EVALUATION OF HEAT LOSSES IN A NONCONCENTRATED SOLAR THERMOELECTRIC GENERATOR WITH SPECTRALLY SELECTIVE ABSORBERS

Solar thermoelectric generator (STEG) has been widely studied in optical and thermal concentrating fields, and the spectral properties are mainly focused on the solar spectrum. However, limited attention has been paid to STEG without any concentrators and in the full spectral range. Therefore, in this work, a thermal-electrical coupled mathematical model for STEG systems is developed according to thermal resistance networks to investigate heat losses above the absorber and power generation performance. For the ideal selective absorber and emitter (ISAE) system, the main heat losses from the absorber occur due to radiative cooling to the sky as well as for the ideal broadband absorber (IBA) system, as opposed to convection and ambient radiative losses. These sky radiative cooling losses account for approximately 83.8% and 73.7% of the total heat losses, respectively. The total water vapor has the greatest impact on radiative cooling power compared to other heat losses, and the radiative cooling power for the IBA and ISAE modules decreases significantly, with a decline of nearly 62.93 W/m<sup>2</sup> and 62.97 W/m<sup>2</sup> from 129.6 W/m<sup>2</sup> and 129.7 W/m<sup>2</sup>, respectively. Wind speed has the largest effect on convective heat loss, and for every 1 m/s increase in speed, the increment of convective loss is approximately constant with the average increment of 8.76 W/m<sup>2</sup>. Elevated ambient temperatures result in decreased heat loss across all forms. In light of its environmentally friendly characteristics, this paper offers recommendations on enhancing the system design of STEG aiming to minimize heat loss and enhance system performance.

A standard calibration method based on a symmetric resistance network matrix for galvanic logging instruments.

An increasing number of measurement electrodes have been designed to satisfy the demand for high-resolution detection using galvanic logging technology in complex formations. The forward modeling response analysis of logging tools has important guiding significance in the design of galvanic logging tools. Based on a three-dimensional finite element numerical simulation method, we established a forward model of galvanic multi-electrodes in a complex formation. We also designed a symmetrical resistance network model of the formation with equivalent resistance between two electrodes. A symmetrical resistance network was derived using the balanced bridge method. The asymmetrical admittance matrix was extended to a symmetrical extended admittance matrix to realize a convenient calculation of the equivalent symmetrical resistance network in complex formations. Verification of the microcolumn-focused logging tool, with nine electrodes in a simulated standard well, and an evaluation of the degree of invasion in an actual oil well indicate that this calibration method can improve the measurement accuracy of galvanic logging instruments.

Pseudomonasaeruginosa antimicrobial susceptibility profiles, resistance mechanisms and international clonal lineages: update from ESGARS-ESCMID/ISARPAE Group

ScopePseudomonas aeruginosa, a ubiquitous opportunistic pathogen considered one of the paradigms of antimicrobial resistance, is among the main causes of hospital-acquired and chronic infections associated with significant morbidity and mortality. This growing threat results from the extraordinary capacity of P. aeruginosa to develop antimicrobial resistance through chromosomal mutations, the increasing prevalence of transferable resistance determinants (such as the carbapenemases and the extended-spectrum β-lactamases), and the global expansion of epidemic lineages. The general objective of this initiative is to provide a comprehensive update of P. aeruginosa resistance mechanisms, especially for the extensively drug-resistant (XDR)/difficult-to-treat resistance (DTR) international high-risk epidemic lineages, and how the recently approved β-lactams and β-lactam/β-lactamase inhibitor combinations may affect resistance mechanisms and the definition of susceptibility profiles. MethodsTo address this challenge, the European Study Group for Antimicrobial Resistance Surveillance (ESGARS) from the European Society of Clinical Microbiology and Infectious Diseases launched the ‘Improving Surveillance of Antibiotic-Resistant Pseudomonas aeruginosa in Europe (ISARPAE)’ initiative in 2022, supported by the Joint programming initiative on antimicrobial resistance network call and included a panel of over 40 researchers from 18 European Countries. Thus, a ESGARS-ISARPAE position paper was designed and the final version agreed after four rounds of revision and discussion by all panel members. Questions addressed in the position paperTo provide an update on (a) the emerging resistance mechanisms to classical and novel anti-pseudomonal agents, with a particular focus on β-lactams, (b) the susceptibility profiles associated with the most relevant β-lactam resistance mechanisms, (c) the impact of the novel agents and resistance mechanisms on the definitions of resistance profiles, and (d) the globally expanding XDR/DTR high-risk lineages and their association with transferable resistance mechanisms. ImplicationThe evidence presented herein can be used for coordinated epidemiological surveillance and decision making at the European and global level.

Effect of the Interplay between Polymer-Filler and Filler-Filler Interactions on the Conductivity of a Filled Diblock Copolymer System.

We investigate the relative roles of the involved interactions and micro-phase morphology in the formation of the conductive filler network in an insulating diblock copolymer (DBC) system. By incorporating the filler immersion energy obtained by means of the phase-field model of the DBC into the Monte Carlo simulation of the filler system, we determined the equilibrium distribution of fillers in the DBC that assumes the lamellar or cylindrical (hexagonal) morphology. Furthermore, we used the resistor network model to calculate the conductivity of the simulated filler system. The obtained results essentially depend on the complicated interplay of the following three factors: (i) Geometry of the DBC micro-phase, in which fillers are preferentially localized; (ii) difference between the affinities of fillers for dissimilar copolymer blocks; (iii) interaction between fillers. The localization of fillers in the cylindrical DBC micro-phase has been found to most effectively promote the conductivity of the composite. The effect of the repulsive and attractive interactions between fillers on the conductivity of the filled DBC has been studied in detail. It is quantitatively demonstrated that this effect has different significance in the cases when the fillers are preferentially localized in the majority and minority micro-phases of the cylindrical DBC morphology.

Thermal resistance capacity model for the cold release characteristics of cemented paste backfill with phase change materials

A new method based on thermal resistance and capacity (RC) network model for fast predicting cold release characteristics of the cemented paste backfill with phase change materials is developed. The simplified heat transfer calculation model was established, and temperature variation was calculated by MATLAB. The RC model and program were validated by experimental results and numerical heat transfer simulations. Based on the verified RC model, the influence law of the initial ice-water ratio and slurry concentration were analyzed. With the increase of initial ice-water ratio and the decrease of slurry concentration, the cooling ability was enhanced and the cold release process was extended. Furthermore, the cemented paste backfill with ice and paraffin were compared. The cooling release effect of slurry containing ice grains was better than that of slurry containing paraffin throughout the melting process. Compared with the numerical heat transfer simulation method, RC model can effectively improve the calculation efficiency under the premise of satisfying the accuracy. This study is of great significance in providing a timely forecast of the cold release characteristics of the cemented paste backfill with phase change materials in engineering design and practice.

Effective electrical conductivity of random resistor networks generated using a Poisson–Voronoi tessellation

We studied the effective electrical conductivity of dense random resistor networks (RRNs) produced using a Voronoi tessellation when its seeds are generated by means of a homogeneous Poisson point process in the two-dimensional Euclidean space. Such RRNs are isotropic and in average homogeneous; however, local fluctuations of the number of edges per unit area are inevitable. These RRNs may mimic, e.g., crack-template-based transparent conductive films. The RRNs were treated within a mean-field approach. We found an analytical dependency of the effective electrical conductivity on the number of conductive edges (resistors) per unit area, nE. The effective electrical conductivity is proportional to nE when nE≫1.

Multiscale Electrical Response Assessment of Metal Nanowire Transparent Electrodes: A Computational Strategy

Transparent electrodes made of random distributions of metal nanowires (NWs) are appealing for optoelectronic devices, solar cells, light emitting diodes, and transparent heaters. While these electrodes are comparable to thin films in terms of electrical conductivity and transparency, their network structure allows limiting the amount of conductive material and makes them suitable for low-cost solution-based deposition methods, contributing to an overall costs reduction. Despite these advantages, an even material utilization at different length scales is difficult to achieve. The homogeneous distribution of electric current (electrical homogeneity) is indeed not guaranteed in nanowire electrodes but is crucial for the stability of the electrode and actually desirable in most applications. Despite the relevance of this feature, it is common practice to perform qualitative assessments at the electrode scale, overlooking local effects. To address this issue, we have developed a computational strategy to aid in the design of nanowire electrodes with improved electrical homogeneity.We present a computational approach that allows an objective, quantitative, and systematic assessment of the electrical homogeneity. The approach enables a multiscale comparison of electrodes with different NW content and material properties. Nanowire electrodes are modeled as two-dimensional networks of stick and junction resistors (with resistance Rw and Rj, respectively) to simulate the electric conduction process. Electrodes are discretized into regular grids of squares and the electrical power of the network contained in each square is computed. The mismatch between the areal power density of the entire electrode and that of the squares provides a quantitative electrical homogeneity evaluation. Repeating the analysis with squares of different size yields an evaluation that spans across length scales. A scalar indicator, coined the homogeneity index, summarizes the results of the multiscale evaluation.Parametric studies are performed by varying nanowire content and nanowire-to-junction resistance ratio Rw/Rj. We show that electrical homogeneity improves as i) NW density increases, and ii) junction resistance reduces. The ideal condition of negligible junction resistance (Rw >> Rj) leads to the best-case scenario and guarantees the highest rate of improvement of electrical homogeneity with NW content. Nevertheless, we observe that under condition Rw ≈ Rj the response of the system approaches the response of a system meeting the ideal condition Rw >> Rj (15% difference at most in terms of homogeneity index). We therefore conclude that reducing the junction resistance excessively (with the aim of achieving Rw/Rj > 1) may not always be a worthwhile strategy, as it results in only a marginal improvement in terms of electrical homogeneity.The proposed strategy is employed to assess the electrical homogeneity of silver nanowire electrodes through the analysis of scanning electron microscopy images. Our results agree with the outcomes of the experimental assessment performed on the same electrodes.

Molecular mechanism of Hfq-dependent sRNA1039 and sRNA1600 regulating antibiotic resistance and virulence in Shigella sonnei

Bacillary dysentery caused by Shigella spp. is a significant concern for human health. Small non-coding RNA (sRNA) plays a crucial role in regulating antibiotic resistance and virulence in Shigella spp. However, the specific mechanisms behind this phenomenon are still not fully understood. This study discovered two sRNAs (sRNA1039 and sRNA1600) that may be involved in bacterial resistance and virulence. By constructing deletion mutants (WT/ΔSR1039 and WT/ΔSR1600), this study found that the WT/ΔSR1039 mutants caused a two-fold increase in sensitivity to ampicillin, gentamicin and cefuroxime, and the WT/ΔSR1600 mutants caused a two-fold increase in sensitivity to cefuroxime. Furthermore, the WT/ΔSR1600 mutants caused a decrease in the adhesion and invasion of bacteria to HeLa cells (P<0.01), and changed the oxidative stress level of bacteria to reduce their survival rate (P<0.001). Subsequently, this study explored the molecular mechanisms by which sRNA1039 and sRNA1600 regulate antibiotic resistance and virulence. The deletion of sRNA1039 accelerated the degradation of target gene cfa mRNA and reduced its expression, thereby regulating the expression of pore protein gene ompD indirectly and negatively to increase bacterial sensitivity to ampicillin, gentamicin and cefuroxime. The inactivation of sRNA1600 reduced the formation of persister cells to reduce resistance to cefuroxime, and reduced the expression of type-III-secretion-system-related genes to reduce bacterial virulence by reducing the expression of target gene tomB. These results provide new insights into Hfq-sRNA-mRNA regulation of the resistance and virulence network of Shigella sonnei, which could potentially promote the development of more effective treatment strategies.

Synergistic ecological network approach for sustainable development of highly urbanized area in the Bay Bottom region: A study in Chengyang District, Qingdao

Rapid urbanization has put the marine environment under great threat, and cities in the Bay Bottom area are more likely to cause a large number of ecological problems in urban development and construction due to their special land-sea interaction environment. Ecological network is an effective solution to coordinate regional ecological protection and sustainable urban development. This study focused on Chengyang District, one of the highly urbanized areas at the bottom of Jiaozhou Bay in Qingdao, China, was using Morphological Spatial Pattern Analysis (MSPA) to initially identify ecological source areas and extracting important ecological source areas in conjunction with the landscape connectivity assessment, and was determining ecological resistance values based on the importance of ecosystem services, and was optimizing ecological network by the minimum cumulative resistance model (MCR) and network structure analysis. The results indicated that: (1) the habitat in Chengyang District is severely fragmented, and the ecological network structure has significant features in terms of source area, type and corridor distribution, with a low percentage of source area, identification of characteristic source types such as reservoirs, wetlands, and aquaculture ponds, while the corridors are concentrated in the area of rivers and bays, and there is fragmentation in the inland areas of the city. (2) Preliminarily, 15 ecological source sites were identified, mainly distributed in the vicinity of Jiaozhou Bay Wetland, Jihongtan Reservoir and Laoshan Mountain, among which, Jiaozhou Bay Wetland is the most important ecological source in Chengyang District. Thirty-two ecological nodes and 24 ecological corridors were constructed. (3) By increasing the inland ecological sources in Chengyang District, the optimized ecological network forms a spatial pattern of “four cores, three belts, and four districts”, and proposes and formulates targeted ecological protection and management strategies to promote the sustainable development of the urban areas in the bottom of the bay. In addition, this study provides a new reference for the global ecological protection of cities in the bay area by improving the ecological network of cities in the Bay Bottom area.

A Novel Resistive Sensor Network Utilizing an SAP-Enhanced Ionic Layer and CNT Doping for Multipoint Pressure Measurement.

Amidst the rapid advancements in flexible electronics, flexible pressure sensors have achieved widespread applications in fields such as wearable devices and motion monitoring. Nevertheless, it is still a challenge to design a sensor with high sensitivity, cost-effectiveness, and a simplified manufacturing process. This paper introduces a piezoresistive sensor built upon a composite conductive filler. The sensor incorporates a super absorbent polymer (SAP) to absorb a phosphoric acid solution and doped carbon nanotubes as the composite conductive filler. In contrast to conventional rigid conductive fillers, the elastic polymer SAP enhances the sensor's stability significantly by exhibiting superior compatibility with the polydimethylsiloxane matrix, all the while reducing its Young's modulus. This work aims to theoretically elucidate the underlying principles that enable the sensor to achieve high sensitivity. It focuses on the induction of charge carriers due to pressure, which leads to the formation of a conductive pathway and subsequent changes in resistance, thus facilitating precise pressure detection. The paper also discusses the effects of piezoresistive layers with varying thicknesses and conductive fillers on the sensor's output performance. The results highlight the sensor's high sensitivity (0.094 kPa-1), rapid response time (105 ms), and exceptional cyclic load/unload stability (>5000 cycles). Furthermore, this paper establishes a versatile sensing network by integrating a portable inductance, capacitance, and resistance instrument with a programmable logic controller module. Compared to individual sensors, this system enables multipoint measurements, offering high spatial resolution and real-time monitoring capabilities, significantly expanding its overall practicality.

Rheological and sensorial evaluation of fruit nectar with chia mucilage

Chia mucilage is exuded from chia seed (Salvia hispanica) when dispersed in water. It can be used as an ingredient rich in fiber to improve the nutritional and kinetic stability of food and beverages. The effect of chia mucilage concentration on the physicochemical, rheological, and sensory properties of passion fruit nectar was evaluated. Chia mucilage was extracted and added to passion fruit nectar in different concentrations (0, 0.1, 0.2, 0.4, 0.6, and 0.8% w/w). The color, phase separation, rheology on steady state at 10 °C and 25 °C, and sensorial acceptance and descriptive tests were performed on passion fruit nectars with chia mucilage. Lower phase separation of nectar was observed with mucilage concentration increase, which was associated with rheological behavior. The mucilage use leads to nectars with increased viscosity and yield stress, reflecting the formation of a more resistant network structure with chia mucilage. However, the increase in viscosity reduced the texture acceptance scores by consumers when 0.4% or more of chia mucilage was used. The use of 0.1% and 0.2% mucilage preserved the acceptance scores and sensory properties of fruit nectar, such as fruit flavor and aroma, sweet taste, homogeneity, and shine. On the other hand, the use of 0.8% mucilage caused greater intensity of negative attributes on nectar, such as strange taste, strange flavor, viscous, cloudy, and particulate. In this way, chia mucilage can be used in different concentrations to improve stability and achieve desirable rheological, and sensory characteristics and healthy benefits according to the priority demand of consumers.

Generalized Theory and Realization of Continuously Loss-Programmable Bandpass Filtering Attenuators

In this article, a generalized theory of bandpass filtering attenuators (filtenuators) is proposed. A filtenuator is a device that combines the frequency-selective characteristics of a filter and the loss-programmable characteristics of an attenuator into a single component. The loss-programmable aspect of the filtenuator is based on the tuning of a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\pi$</tex-math> </inline-formula> -network of resistances, which are implemented using p-i-n diodes to control the individual resistance values electronically. A loss-programmable, third-order Chebyshev bandpass filtenuator is designed, fabricated, and measured to verify the generalized theory. The filtenuator is designed to operate at 1 GHz and has a tunable attenuation range of 2–10 dB. This proposed filtenuator demonstrates the feasibility of a tunable, low-cost, size, weight, and power (C-SWaP) solution to increase radio frequency (RF) system dynamic range and a design process that allows for future development of filtenuators.

Non-linear virtual impedance shaping strategy for predominantly resistive islanded power networks

Non-linear virtual impedance shaping strategy for predominantly resistive islanded power networks

Optimal Intervention in Transportation Networks

We study a network design problem (NDP) where the planner aims at selecting the optimal single-link intervention on a transportation network to minimize the travel time under Wardrop equilibrium flows. Our first result is that, if the delay functions are affine and the support of the equilibrium is not modified with interventions, the NDP may be formulated in terms of electrical quantities computed on a related resistor network. In particular, we show that the travel time variation corresponding to an intervention on a given link depends on the effective resistance between the endpoints of the link. We suggest an approach to approximate such an effective resistance by performing only local computation, and exploit it to design an efficient algorithm to solve the NDP. We discuss the optimality of this procedure in the limit of infinitely large networks, and provide a sufficient condition for its optimality. We then provide numerical simulations, showing that our algorithm achieves good performance even if the equilibrium support varies and the delay functions are non-linear.

A 1.8 V, 10 mA low dropout voltage regulator for IoT application in 90 nm CMOS technology

A complementary metal-oxide-semiconductor CMOS low dropout voltage regulator (LDO) design flow using 90 nm CMOS technology is described and simulated in this paper. The circuit consists of an analogue LDO with using PMOS pass device, an error amplifier, a bandgap voltage, a biasing circuit, a feedback resistive network sized to have the desired closed loop gain. This LDO was designed to maintain stable voltage at 1.8 V and 10 mA of current output in low resistive load. The LDO regulator achieves 105 uA quiescent current, -47 PSRR@13 KHz noise frequency. The final design occupies approximately 0.05 mm&lt;sup&gt;2&lt;/sup&gt;. The results were satisfying and make the designed circuit suitable for IoT application.

Integrating APS TBCs with a built-in Al2O3 protection network for superior CMAS resistance

Calcium–magnesium–alumina–silicate (CMAS) attack poses a great threat to the durability of thermal barrier coatings (TBCs). We introduce a novel Al2O3-modified TBC architecture to counter this threat. The architecture integrates an Al2O3 protection network into the microstructure of an atmospheric plasma sprayed (APS) TBC by drip coating method, which modifies the vulnerable infiltration pathway of CMAS melt and promotes the self-crystallization of CMAS at the infiltration front. Moreover, during sintering, the built-in Al2O3 can inhibit inter-splat crack healing. This innovative TBC design achieves robust CMAS resistance and strain tolerance, while also offering advantages during sintering.

A novel compact thermal management model for performance evaluation of tesla-like lithium-ion battery packs

This study presents a compact thermal management model for Li-ion battery packs, with a specific focus on Tesla Model S vehicles. The model, which utilizes a detailed thermal resistance network, provides faster results than traditional Computational Fluid Dynamics (CFD) tools, making it approximately 10.5 times faster without compromising on comprehensive assessment. Key factors such as the C-rate and initial fluid temperature were found to significantly impact battery temperature and the maximum temperature difference. For instance, as the C-rate increases from 0.5 to 5, the average battery temperature rises by 84.5 °C, a condition that would lead to thermal runaway in practical scenarios. Meanwhile, an increase in the initial fluid temperature from 15 °C to 30 °C results in an approximate increase of 13.2 °C in the average battery temperature. The coolant velocity also plays a crucial role in managing heat dissipation from the batteries. The model, offering easy customization and reduced computational complexity, is ideal for modeling and simulations of Li-ion battery modules and packs. This research significantly contributes to improving the efficiency and safety of Li-ion batteries, particularly in electric vehicles, providing valuable insights for the design and analysis of battery thermal management systems (BTMS).

Microstructural modeling on electrical conductivities of 3-D carbon/epoxy woven composites along different directions

Carbon fiber composites have widely been used in aircrafts and high speed vehicles. Electrical conductivity of the carbon fiber composites is critical to electrical safety for the aircrafts and vehicles under high voltage applications. Here we report microstructural modeling on electrical conductivities of three-dimensional (3-D) carbon/epoxy angle-interlock woven composites along on-axis and off-axis directions. A 3-D resistor network model and finite element analysis (FEA) model based on fabric microstructure have been developed to reveal the electric conductivities along different directions. We have found that the conductivity of the woven structure exhibits full anisotropy. The difference of electrical conductivity between in-plane and through-thickness direction decreased due to the existence of through-the-thickness carbon fibers. The electrical conductivity through-thickness direction increases with warp directional length. With increasing off-axis directional length, the conductivity perpendicular to the off-axis direction increases, while the conductivity parallel to the off-axis direction remains basically unchanged. Electric potential distribution and electrical current density are highly related with fabric structure and current directions. Owing to the dependence of mechanical properties are also related with fabric structure and directions, it is expected that both the electrical and mechanical properties of the 3-D woven carbon/epoxy composites could be optimized simultaneously from the composite microstructure designs.

371. Clinical Characteristics and Prognoses for Carbapenem-Resistant Bacterial Infections in Patients with Cancer in Japan: A Multicenter Study from the Multi-Drug Resistant Organisms Clinical Research Network (MDRnet)

Abstract Background Carbapenem-resistant bacteria in patients with cancer are concerning due to the high risk of infection and mortality rates; however, the characteristics and prognoses of carbapenem-resistant infections in this population are currently unknown in Japan. We hence investigated the features and outcomes of carbapenem-resistant bacterial infections (CRBI) in patients with cancer in Japan. Methods From April 1, 2019, to March 31, 2022, patients with CRBI who either had cancer or no cancer were prospectively enrolled at eight centers as part of the Multi-Drug Resistant Organisms Clinical Research Network (MDRnet). The primary outcome was the 30-day all-cause mortality rates in patients with and without cancer. Two secondary outcomes were evaluated: 1) composite outcomes including mortality, worsening of clinical course after culture collection, intensive care unit stay, intubation, new dialysis from the date of culture collection to the end of antimicrobial therapy, and readmission within 90 days after discharge; and 2) the length of hospital stay after CRBI excluding death. Results We included a total of 167 patients, with 66 (39.5%) in the cancer group and 101 (60.5%) in the non-cancer group. The 30-day mortality rates in the cancer and non-cancer groups were 18.2% (12/66) and 14.0% (14/101), respectively (p = 0.45), while the composite outcomes in the cancer and non-cancer groups were 56.1% (37/66) and 43.6% (44/101), respectively (p = 0.12). Average duration of hospitalization was not significantly different between the two groups (cancer group, 44.6 days; non-cancer group, 51.0 days; p = 0.55). Propensity score analysis using inverse probability weighting also showed no significant difference in 30-day mortality and average duration of hospitalization (p = 0.22 and 0.98, respectively); however, the composite outcome was significantly higher in the cancer group than in non-cancer controls (odds ratio, 2.41; 95% confidence interval, 1.11–5.21; p = 0.03). Conclusion There was no difference in 30-day mortality rates between the cancer and non-cancer patient groups; however, we found a significant difference in the composite outcome. Patients with cancer who had CRBI experienced a worse clinical course that non-cancer patients. Disclosures Masahiro Suzuki, PhD, KANTO Chemical co., inc.: Grant/Research Support Yasufumi Matsumara, MD, PhD, Beckman Coulter: Grant/Research Support|Presicion System Science: Grant/Research Support|Toyobo: Grant/Research Support David van Duin, MD, PhD, Entasis: Advisor/Consultant|Merck: Advisor/Consultant|Merck: Grant/Research Support|Pfizer: Advisor/Consultant|Pfizer: Honoraria|Qpex: Advisor/Consultant|Roche: Advisor/Consultant|Shionogi: Advisor/Consultant|Shionogi: Grant/Research Support|Union: Advisor/Consultant|Utility: Advisor/Consultant Yohei Doi, MD, PhD, bioMerieux: Advisor/Consultant|FujiFilm: Advisor/Consultant|Gilead: Advisor/Consultant|Gilead: Honoraria|GSK: Advisor/Consultant|Meiji Seika Pharma: Advisor/Consultant|Moderna: Advisor/Consultant|Moderna: Honoraria|MSD: Advisor/Consultant|MSD: Honoraria|Shionogi: Advisor/Consultant|Shionogi: Grant/Research Support|Shionogi: Honoraria Sho Saito, MD, PhD, Shionogi &amp; Company, Limited: Grant/Research Support