Methods and systems for optimizing generation of natively executable code from non-native binary code are disclosed. One method includes receiving a source file including binary code configured for execution according to a non-native instruction set architecture. The method also includes translating one or more code blocks included in the executable binary code to source code, and applying an optimizing algorithm to instructions in the one or more code blocks. The optimizing algorithm is selected to reduce a number of memory address translations performed when translating the source code to native executable binary code, thereby resulting in one or more optimized code blocks. The method further includes compiling the source code to generate an output file comprising natively executable binary code including the one or more optimized code blocks.

The present invention relates to a method for compiling code for a multi-core processor, comprising: detecting and optimizing a loop, partitioning the loop into partitions executable and mappable on physical hardware with optimal instruction level parallelism, optimizing the loop iterations and/or loop counter for ideal mapping on hardware, chaining the loop partitions generating a list representing the execution sequence of the partitions.

In one embodiment, an optimization hint may be included in a business process flow. An executable process may be generated from the business process flow where the optimization hint is included in the executable process. While executing the executable process, the runtime engine encounters an optimization hint and determines an optimization to perform. The optimization hint may be related to an aspect of a business process being orchestrated by the business process flow. The optimization is then performed while executing the executable process. For example, the runtime engine may start pre-processing the branch while the condition is being evaluated. If the condition evaluates such that the pre-processed branch should be executed, then the runtime engine has already started processing of that branch. The processing is thus optimized in that the runtime engine is not sitting idle while waiting for the condition to be evaluated.

A method of patterning a plurality of layers of a work piece in a series of writing cycles in one or a plurality of write machines, the workpiece being deviced to have a number of N layers and layers of the workpiece having one or a plurality of boundary condition(s) for pattern position, the method comprising the steps of: determining the boundary conditions of layers 1 to N, calculating deviations due to the boundary conditions and calculating a compensation for the deviation of the first transformation added with the assigned part of the deviation due to the boundary conditions.

A method for designing a transformer in an integrated circuit includes receiving one or more desired characteristics of the transformer from user input and iteratively determining a design solution for the transformer through one or more simulations and modifications using a rule-set. The method combines the one or more desired characteristics with other preset characteristics of the transformer or the integrated circuit. A first model of the transformer is defined with typical load impedances and simulated having the combined characteristics to determine performance. Results of the simulation are processed to calculate performance with the load impedances specified by the user. The results are further processed to obtain a mathematical model that includes tuning capacitors. The first and subsequent models are modified by drawing on a rule-set of expert knowledge relating to general dependency of at least one design criterion, such as a physical, geometrical or performance characteristic, with another design criterion.

Some example embodiments include a computer-implemented method for designing an integrated circuit. The computer-implemented method includes receiving a hierarchical network design for the integrated circuit, wherein the hierarchical design comprises a number of components that are coupled together. The computer-implemented method includes detecting that a component of the number of components has at least one of failed timing and incomplete timing based on a problem that comprises at least one of a missing assertion, one or more missing latches, a source driver having an input source slew that is greater than a source slew limit threshold, and a sink having an input sink slew that is greater than a sink slew limit threshold. The computer-implemented method includes replacing the component with a different component that is independent of the problem and testing others components of the number of components based on the different component.

A method, an apparatus, and a computer program product for wireless communication are provided. The apparatus generates a plurality of interconnect patterns for a set of longitudinal channels that are occupied by horizontal interconnects. Each interconnect pattern may be different from the other interconnect patterns. Each interconnect pattern may define relative locations for the set of horizontal interconnects and gap channels. Highest crosstalk is determined for each of the interconnect patterns and the interconnect pattern with the minimum highest crosstalk is selected as a preferred pattern. The highest crosstalk may comprise far-end crosstalk or near-end crosstalk and may be calculated for a range of frequencies or for a plurality of frequencies. The crosstalk may be calculated by modeling the interconnects as transmission lines.

Techniques for implementing identification and management of unsafe optimizations are disclosed. A method of the disclosure includes receiving, by a managed runtime environment (MRE) executed by a processing device, a notice of misprediction of optimized code, the misprediction occurring during a runtime of the optimized code, determining, by the MRE, whether a local misprediction counter (LMC) associated with a code region of the optimized code causing the misprediction exceeds a local misprediction threshold (LMT) value, and when the LMC exceeds the LMT value, compiling, by the MRE, native code of the optimized code to generate a new version of the optimized code, wherein the code region in the new version of the optimized code is not optimized.

Disclosed herein is a method for determining a trajectory for a transfer of a spacecraft from a starting space body to a target space body with respect to a given central space body, wherein the determined trajectory is optimal with respect to a given space mission requirement to be met by the transfer of the spacecraft. The method comprises providing, according to the Pontryagin maximum principle, a physical-mathematical model relating model quantities and physical quantities representing the transfer of the spacecraft with respect to the given central space body.

Systems and methods for subsurface secondary and/or tertiary oil recovery optimization based on either a short term, medium term or long term optimization analysis of selected zones, wells, patterns/clusters and/or fields.

An electronic musical instrument having a number of keys, having tone generators capable of simultaneous tone production, the tone generators being smaller in number than the number of keys. The instrument forms an operation for synthesizing a desired waveform, the operation for synthesizing a desired waveform being performed in a repeating cyclic order with an operation cycle and in which the waveform is transferred to the tone generators and read out therefrom at a rate in accordance with the note of a key being depressed to obtain a desired musical waveform. The device includes a number-of-depressed keys detecting device which counts the number of keys which are actuating the tone generator upon depression. A cycle altering device is provided for changing the operation cycle, as a whole, on the basis of the number of depressed keys, counted by the number-of-depressed keys detecting device. The construction allows for a waveform of a smooth temporal variation to be produced.

A micro device includes a substrate and a structure configured to bind to an object or a material, or not to bind to an object or material. The structure has a roughness based on a roughness of the object or material. For example, a microarray includes a substrate and a well positioned in the substrate and configured to bind to a type of bead. The well has a roughness based on a roughness of the type of bead to which the well is configured to bind. The roughness of the well is controlled by controlling a position and number of striations in the side of the well. In another example, a moveable component of a micro device may have a roughness different from a roughness of an adjacent component, to reduce the likelihood of the moveable component sticking to the adjacent component.

An agricultural combine has a threshing assembly for threshing a crop to produce chaff and grain, a cleaning assembly for removing the chaff from the grain, and a control system. The threshing assembly and the cleaning assembly operate at threshing and cleaning settings, respectively, for tending to produce a balance between a threshing load applied across the threshing assembly and a cleaning load applied across the cleaning assembly that tends to have a favorable influence on grain loss. The control system is for sensing an imbalance between the threshing load and the cleaning load tending to have an unfavorable influence on grain loss, and for concurrently adjusting the threshing and cleaning settings of the threshing and cleaning assemblies, respectively, for tending to convert the imbalance between the threshing and cleaning loads to a balance between the threshing and cleaning loads tending to have a favorable influence on grain loss.

Disclosed are various embodiments for automated service interface optimization. In one embodiment, a service client and/or a service provider is reconfigured to use an optimized version of a data transfer interface, where the optimized version transfers fewer data items from the service provider to the service client. In another embodiment, service calls from a service client for multiple different data objects are aggregated into an aggregated service call for a data object. In yet another embodiment, an optimized data object is provided to a service client in response to a request for an unoptimized data object. If the service client attempts to use a data item excluded from the optimized data object, the excluded data item is then provided to the service client.

A method of determining an optimized face cone element for spiral bevel and hypoid gears. The form of the root fillet of one member of a gear pair is determined and that from is transferred to the tip of the other member of the gear pair. With the inventive method, tooth root-tip clearance is optimized and the contact ratio is maximized while avoiding root-tip interference between mating gear members.

A controller determines and adjusts system parameters, including cleanliness levels or sootblower operating settings, that are useful for maintaining the cleanliness of a fossil fuel boiler at an efficient level. Some embodiments use a direct controller to determine cleanliness levels and/or sootblower operating settings. Some embodiments use an indirect controller, with a system model, to determine cleanliness levels and/or sootblower settings. The controller may use a model that is, for example, a neural network, or a mass energy balance, or a genetically programmed model. The controller uses input about the actual performance or state of the boiler for adaptation. The controller may operate in conjunction with a sootblower optimization system that controls the actual settings of the sootblowers. The controller may coordinate cleanliness settings for multiple sootblowers and/or across a plurality of heat zones in the boiler.

A control method for boiler outlet temperatures includes predictive control of SH and RH desuperheater systems. The control method also includes control and optimization of steam generation conditions, for a boiler system, such as burner tilt and intensity, flue-gas recirculation, boiler fouling, and other conditions for the boiler. The control method assures a proportional-valve control action in the desuperheater system, that affects the boiler system.

A system and method of preparing a flexoplate so it is suitable for the printing of high resolution patterns. The method includes controlling the curing conditions of the flexoplate, thereby controlling the properties of said flexoplate such as floor thickness, pattern cross-sectional geometry, repeatability of printed features during the printing process, and durability of the flexoplate during the printing process.

Systems and methods for separating fluids from drill cuttings. Specifically, the invention relates to shakers that incorporate a vacuum system and methods of operating such systems to effect a high degree of fluid separation. The system and methods are effective across a variety of screen sizes, vacuum flows and vacuum designs.

An electronic device modifies a schedule of communication frequencies (such as an orthogonal frequency division multiplexing access schedule) by changing the times when subcarriers are used for communication with a set of electronic devices in order to cluster subsets of the set of electronic devices. This clustering may leave the throughput associated with the communication at least approximately unchanged. Then, the electronic device selects, for the subsets, transmit antenna radiation patterns and receive antenna radiation patterns in order to increase the throughputs during transmission and/or receiving.

One example discloses an apparatus for power management, including: a circuit having a first power-domain and a second power-domain; wherein the first and second power-domains include a set of operating parameter values; a circuit controller configured to incrementally sweep at least one of the operating parameter values of the first power-domain; a circuit profiler configured to derive a total power consumption profile of the circuit based on the circuit's response to the swept operating parameter value; wherein the circuit controller sets the operating parameter values for the first and second power-domains based on the total power consumption profile of the circuit.

This disclosure describes systems and methods for controlling pressure and/or flow during exhalation. The disclosure describes novel exhalation modes for ventilating a patient.

A renal failure blood therapy system includes a renal failure blood therapy machine, concentration levels for each of a plurality of solutes removed from a patient's blood at each of the multiple times, a display device configured to display for selection at least one removed blood solute from the plurality of removed blood solutes, and a device programmed to (i) estimate at least one renal failure blood therapy patient parameter using the determined concentration levels for the at least one selected removed blood solute, (ii) determine a plurality of acceptable renal failure blood therapy treatments that meet a predetermined removed blood solute clearance for the at least one selected removed blood solute using the at least one renal failure blood therapy patient parameter, and (iii) enable selection of at least one of the plurality of acceptable renal failure blood therapy treatments for operation at the renal failure blood therapy machine.

The present invention provides novel techniques for controlling the output of a distillation sub-process by controlling, using model predictive control, the temperature of steam used in the distillation sub-process, wherein the steam is generated in a milling and cooking sub-process. In particular, the present techniques are presented in the context of biofuel production, wherein the temperature of a cook tube generated in a milling and cooking sub-process may be controlled to optimize the energy utilization in the ethanol/water separation of a side stripper column, which uses the cook flash steam as an energy source. However, the present techniques may also be applied to other suitable applications, such as liquor processing, where steam generated in a different process may be used in a distillation process to help separate water from the liquor.

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You’re not normal.
What I mean is, when it comes to seeing your blog, you don’t view it like a normal, everyday reader. Sorry to be the one to break it to you.
You know how looking at your significant other day in and day out makes you immune to some of his or her more distinctive traits? You no longer notice the scar or the flamboyant hand gesture. It’s human nature to take things for granted.
Let’s go against ...

The post How To Test Blog Elements For Conversion Optimization appeared first on RSS Feed Converter.

This paper considers online convex optimization over a complicated constraint set, which typically consists of multiple functional constraints and a set constraint. The conventional online projection algorithm (Zinkevich, 2003) can be difficult to implement due to the potentially high computation complexity of the projection operation. In this paper, we relax the functional constraints by allowing them to be violated at each round but still requiring them to be satisfied in the long term. This type of relaxed online convex optimization (with long term constraints) was first considered in Mahdavi et al. (2012). That prior work proposes an algorithm to achieve $O(sqrt{T})$ regret and $O(T^{3/4})$ constraint violations for general problems and another algorithm to achieve an $O(T^{2/3})$ bound for both regret and constraint violations when the constraint set can be described by a finite number of linear constraints. A recent extension in Jenatton et al. (2016) can achieve $O(T^{max{ heta,1- heta}})$ regret and $O(T^{1- heta/2})$ constraint violations where $ hetain (0,1)$. The current paper proposes a new simple algorithm that yields improved performance in comparison to prior works. The new algorithm achieves an $O(sqrt{T})$ regret bound with $O(1)$ constraint violations.

We study the question of whether parallelization in the exploration of the feasible set can be used to speed up convex optimization, in the local oracle model of computation and in the high-dimensional regime. We show that the answer is negative for both deterministic and randomized algorithms applied to essentially any of the interesting geometries and nonsmooth, weakly-smooth, or smooth objective functions. In particular, we show that it is not possible to obtain a polylogarithmic (in the sequential complexity of the problem) number of parallel rounds with a polynomial (in the dimension) number of queries per round. In the majority of these settings and when the dimension of the space is polynomial in the inverse target accuracy, our lower bounds match the oracle complexity of sequential convex optimization, up to at most a logarithmic factor in the dimension, which makes them (nearly) tight. Another conceptual contribution of our work is in providing a general and streamlined framework for proving lower bounds in the setting of parallel convex optimization. Prior to our work, lower bounds for parallel convex optimization algorithms were only known in a small fraction of the settings considered in this paper, mainly applying to Euclidean ($ell_2$) and $ell_infty$ spaces.

We study derivative-free methods for policy optimization over the class of linear policies. We focus on characterizing the convergence rate of these methods when applied to linear-quadratic systems, and study various settings of driving noise and reward feedback. Our main theoretical result provides an explicit bound on the sample or evaluation complexity: we show that these methods are guaranteed to converge to within any pre-specified tolerance of the optimal policy with a number of zero-order evaluations that is an explicit polynomial of the error tolerance, dimension, and curvature properties of the problem. Our analysis reveals some interesting differences between the settings of additive driving noise and random initialization, as well as the settings of one-point and two-point reward feedback. Our theory is corroborated by simulations of derivative-free methods in application to these systems. Along the way, we derive convergence rates for stochastic zero-order optimization algorithms when applied to a certain class of non-convex problems.

Manifold optimization appears in a wide variety of computational problems in the applied sciences. In recent statistical methodologies such as sufficient dimension reduction and regression envelopes, estimation relies on the optimization of likelihood functions over spaces of matrices such as the Stiefel or Grassmann manifolds. Recently, Huang, Absil, Gallivan, and Hand (2016) have introduced the library ROPTLIB, which provides a framework and state of the art algorithms to optimize real-valued objective functions over commonly used matrix-valued Riemannian manifolds. This article presents ManifoldOptim, an R package that wraps the C++ library ROPTLIB. ManifoldOptim enables users to access functionality in ROPTLIB through R so that optimization problems can easily be constructed, solved, and integrated into larger R codes. Computationally intensive problems can be programmed with Rcpp and RcppArmadillo, and otherwise accessed through R. We illustrate the practical use of ManifoldOptim through several motivating examples involving dimension reduction and envelope methods in regression.

Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy.

Source: Bayesian Analysis, Volume 14, Number 2, 495--519.

Abstract:
Randomized experiments are the gold standard for evaluating the effects of changes to real-world systems. Data in these tests may be difficult to collect and outcomes may have high variance, resulting in potentially large measurement error. Bayesian optimization is a promising technique for efficiently optimizing multiple continuous parameters, but existing approaches degrade in performance when the noise level is high, limiting its applicability to many randomized experiments. We derive an expression for expected improvement under greedy batch optimization with noisy observations and noisy constraints, and develop a quasi-Monte Carlo approximation that allows it to be efficiently optimized. Simulations with synthetic functions show that optimization performance on noisy, constrained problems outperforms existing methods. We further demonstrate the effectiveness of the method with two real-world experiments conducted at Facebook: optimizing a ranking system, and optimizing server compiler flags.

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular

Jasper Akerboom
Oct 3, 2012; 32:13819-13840
Cellular

In this uncertain and increasingly homebound era, customers are turning online for everything from groceries to cat food. It's more important than ever to make sure that websites are optimized for the highest-possible customer engagement and conversion. E-commerce optimization is one game that companies struggling for market share in the midst of a pandemic must play.

The post Lighten your Components by over 50 Percent with Topology Optimization in SOLIDWORKS Simulation appeared first on The SOLIDWORKS Blog.

Linezolid is the first synthetic oxazolidone agent to treat infections caused by Gram-positive pathogens. Infected patients with liver dysfunction (LD) are more likely to suffer from adverse reactions such as thrombocytopenia when standard-dose linezolid is used than patients with LD who didn't use linezolid. Currently, pharmacokinetics data of linezolid in patients with LD are limited. The study aimed to characterize pharmacokinetics parameters of linezolid in patients with LD, identify the factors influencing the pharmacokinetics, and propose an optimal dosage regimen. We conducted a prospective study and established population pharmacokinetics model with the Phoenix NLME. The final model was evaluated by goodness-of-fit plots, bootstrap analysis, and prediction corrected-visual predictive check. A total of 163 concentration samples from 45 patients with LD were adequately described by a one-compartment model with first-order elimination along with prothrombin activity (PTA) and creatinine clearance as significant covariates. Linezolid clearance (CL) was 2.68 L/h (95% confidence interval [CI]: 2.34-3.03 L/h); the volume of distribution (Vd) was 58.34 L (95% CI: 48.00-68.68 L). Model-based simulation indicated that the conventional dose was at risk for overexposure in patients with LD or severe renal dysfunction; reduced dosage (300 mg/12 h) would be appropriate to achieve safe (C_min, ss at 2-8 ug/mL) and effective targets (the ratio of AUC_0-24 at steady state to MIC, 80-100). In addition, for patients with severe LD (PTA <= 20%), the dosage (400 mg/24 h) was sufficient at an MIC <= 2 ug/mL. This study recommended therapeutic drug monitoring for patients with LD.

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Many of us are currently working from home and getting adjusted to this new way of working. If you’re an employee working on the shop floor of a manufacturing facility, however, working from home is not an option. Among the many hard decisions manufacturing leaders have had to make during [...]

Increase employee safety with production planning optimization  was published on SAS Voices by Chris Hartmann

When it comes to flagship chipsets for Android phones, Qualcomm is typically regarded as being the top contender with its 800-series processors. That being said, MediaTek has been playing an incredible catchup game as of late with the Dimensity 1000 in late 2019 which put it within a striking range of the new Snapdragon 865 ...

Hello, I looking for reaching minimal NOISE FIRUGE by peaking a combination of the RLC on the output load as shown bellow.
I tried to do it with PNOISE  but it gives me an error on the |f(in)| i am not sure regarding the sidebands in my case(its not a mixer)

How can i show Noise Figure and optimize it using my output RLC?

Thanks

The city utility for Lethbridge, Alberta is starting a voltage optimization trial that is expected to deliver energy savings for customers while reducing overall energy usage in the city’s electricity distribution system.

ABSTRACT

Urinary tract infections (UTI) affect half of all women at least once during their lifetime. The rise in the numbers of extended-spectrum beta-lactamase-producing strains and the potential for carbapenem resistance within uropathogenic Escherichia coli (UPEC), the most common causative agent of UTI, create an urgent need for vaccine development. Intranasal immunization of mice with UPEC outer membrane iron receptors FyuA, Hma, IreA, and IutA, conjugated to cholera toxin, provides protection in the bladder or kidneys under conditions of challenge with UPEC strain CFT073 or strain 536. On the basis of these data, we sought to optimize the vaccination route (intramuscular, intranasal, or subcutaneous) in combination with adjuvants suitable for human use, including aluminum hydroxide gel (alum), monophosphoryl lipid A (MPLA), unmethylated CpG synthetic oligodeoxynucleotides (CpG), polyinosinic:polycytidylic acid (polyIC), and mutated heat-labile E. coli enterotoxin (dmLT). Mice intranasally vaccinated with dmLT-IutA and dmLT-Hma displayed significant reductions in bladder colonization (86-fold and 32-fold, respectively), with 40% to 42% of mice having no detectable CFU. Intranasal vaccination of mice with CpG-IutA and polyIC-IutA significantly reduced kidney colonization (131-fold) and urine CFU (22-fold), respectively. dmLT generated the most consistently robust antibody response in intranasally immunized mice, while MPLA and alum produced greater concentrations of antigen-specific serum IgG with intramuscular immunization. On the basis of these results, we conclude that intranasal administration of Hma or IutA formulated with dmLT adjuvant provides the greatest protection from UPEC UTI. This report advances our progress toward a vaccine against uncomplicated UTI, which will significantly improve the quality of life for women burdened by recurrent UTI and enable better antibiotic stewardship.

IMPORTANCE Urinary tract infections (UTI) are among the most common bacterial infection in humans, affecting half of all women at least once during their lifetimes. The rise in antibiotic resistance and health care costs emphasizes the need to develop a vaccine against the most common UTI pathogen, Escherichia coli. Vaccinating mice intranasally with a detoxified heat-labile enterotoxin and two surface-exposed receptors, Hma or IutA, significantly reduced bacterial burden in the bladder. This work highlights progress in the development of a UTI vaccine formulated with adjuvants suitable for human use and antigens that encode outer membrane iron receptors required for infection in the iron-limited urinary tract.

Simian-human immunodeficiency virus (SHIV) infection of rhesus monkeys is an important preclinical model for human immunodeficiency virus type 1 (HIV-1) vaccines, therapeutics, and cure strategies. SHIVs have been optimized by incorporating HIV-1 Env residue 375 mutations that mimic the bulky or hydrophobic residues typically found in simian immunodeficiency virus (SIV) Env to improve rhesus CD4 binding. We applied this strategy to three SHIV challenge stocks (SHIV-SF162p3, SHIV-AE16, and SHIV-325c) and observed three distinct outcomes. We constructed six Env375 variants (M, H, W, Y, F, and S) for each SHIV, and we performed a pool competition study in rhesus monkeys to define the optimal variant for each SHIV prior to generating large-scale challenge stocks. We identified SHIV-SF162p3S/wild type, SHIV-AE16W, and SHIV-325cH as the optimal variants. SHIV-SF162p3S could not be improved, as it already contained the optimal Env375 residue. SHIV-AE16W exhibited a similar replicative capacity to the parental SHIV-AE16 stock. In contrast, SHIV-325cH demonstrated a 2.6-log higher peak and 1.6-log higher setpoint viral loads than the parental SHIV-325c stock. These data demonstrate the diversity of potential outcomes following Env375 modification in SHIVs. Moreover, the clade C SHIV-325cH challenge stock may prove useful for evaluating prophylactic or therapeutic interventions against clade C HIV-1.

IMPORTANCE We sought to enhance the infectivity of three SHIV stocks by optimization of a key residue in human immunodeficiency virus type 1 (HIV-1) Env (Env375). We developed the following three new simian-human immunodeficiency virus (SHIV) stocks: SHIV-SF162p3S/wild type, SHIV-AE16W, and SHIV-325cH. SHIV-SF162p3S could not be optimized, SHIV-AE16W proved comparable to the parental virus, and SHIV-325cH demonstrated markedly enhanced replicative capacity compared with the parental virus.

Dual amylin and calcitonin receptor agonists (DACRAs) are novel candidates for treatment of type 2 diabetes and obesity because of their beneficial effects on body weight, blood glucose, insulin sensitivity, and food preference, at least short-term. DACRAs activate the receptors for a prolonged time period, resulting in metabolic effects superior to those of amylin. Because of the prolonged receptor activation, different dosing intervals and, hence, less frequent receptor activation might change the efficacy of DACRA treatment in terms of weight loss and food preference. In this study, we compared daily dosing to dosing every other day with the aim of understanding the optimal balance between efficacy and tolerability. Obese and lean male Sprague-Dawley rats were treated with the DACRA KBP-088, applying two different dosing intervals (1.5 nmol/kg once daily and 3 nmol/kg every other day) to assess the effect on body weight, food intake, glucose tolerance, and food preference when given the choice between chow (13% fat) and a high-fat diet (60% fat). Treatment with KBP-088 induced significant weight loss, reduction in adiposity, improvement in glucose control, and altered food preference toward food that is less calorie-dense. KBP-088 dosed every other day (3 nmol/kg) was superior to KBP-088 once daily (1.5 nmol/kg) in terms of weight loss and improvement of food preference. The beneficial effects were evident in both lean and obese rats. Hence, dosing KBP-088 every other day positively affects overall efficacy on metabolic parameters regardless of the lean/obese state, suggesting that less-frequent dosing with KBP-088 could be feasible.

The first Biograph Vision PET/CT system (Siemens Healthineers) was installed at the University Medical Center Groningen. Improved performance of this system could allow for a reduction in activity administration or scan duration. This study evaluated the effects of reduced scan duration in oncologic ¹⁸F-FDG PET imaging on quantitative and subjective imaging parameters and its influence on clinical image interpretation. Methods: Patients referred for a clinical PET/CT scan were enrolled in this study, received a weight-based ¹⁸F-FDG injected activity, and underwent list-mode PET acquisition at 180 s per bed position (s/bp). Acquired PET data were reconstructed using the vendor-recommended clinical reconstruction protocol (hereafter referred to as "clinical"), using the clinical protocol with additional 2-mm gaussian filtering (hereafter referred to as "clinical+G2"), and—in conformance with European Association of Nuclear Medicine Research Ltd. (EARL) specifications—using different scan durations per bed position (180, 120, 60, 30, and 10 s). Reconstructed images were quantitatively assessed for comparison of SUVs and noise. In addition, clinically reconstructed images were qualitatively evaluated by 3 nuclear medicine physicians. Results: In total, 30 oncologic patients (22 men, 8 women; age: 48–88 y [range], 67 ± 9.6 y [mean ± SD]) received a single weight-based (3 MBq/kg) ¹⁸F-FDG injected activity (weight: 45–123 kg [range], 81 ± 15 kg [mean ± SD]; activity: 135–380 MBq [range], 241 ± 47.3 MBq [mean ± SD]). Significant differences in lesion SUV_max were found between the 180-s/bp images and the 30- and 10-s/bp images reconstructed using the clinical protocols, whereas no differences were found in lesion SUV_peak. EARL-compliant images did not show differences in lesion SUV_max or SUV_peak between scan durations. Quantitative parameters showed minimal deviation (~5%) in the 60-s/bp images. Therefore, further subjective image quality assessment was conducted using the 60-s/bp images. Qualitative assessment revealed the influence of personal preference on physicians’ willingness to adopt the 60-s/bp images in clinical practice. Although quantitative PET parameters differed minimally, an increase in noise was observed. Conclusion: With the Biograph Vision PET/CT system for oncologic ¹⁸F-FDG imaging, scan duration or activity administration could be reduced by a factor of 3 or more with the use of the clinical+G2 or the EARL-compliant reconstruction protocol.

OBJECTIVE

We evaluated the effect of optimizing metformin dosing on glycemia and body weight in type 2 diabetes.

To obtain the optimal dosage regimen in patients receiving extracorporeal membrane oxygenation (ECMO), we developed a population pharmacokinetics model for cefpirome and performed pharmacodynamic analyses. This prospective study included 15 patients treated with cefpirome during ECMO. Blood samples were collected during ECMO (ECMO-ON) and after ECMO (ECMO-OFF) at predose and 0.5 to 1, 2 to 3, 4 to 6, 8 to 10, and 12 h after cefpirome administration. The population pharmacokinetic model was developed using nonlinear mixed effects modeling and stepwise covariate modeling. Monte Carlo simulation was used to assess the probability of target attainment (PTA) and cumulative fraction of response (CFR) according to the MIC distribution. Cefpirome pharmacokinetics were best described by a two-compartment model. Covariate analysis indicated that serum creatinine concentration (SCr) was negatively correlated with clearance, and the presence of ECMO increased clearance and the central volume of distribution. The simulations showed that patients with low SCr during ECMO-ON had lower PTA than patients with high SCr during ECMO-OFF; so, a higher dosage of cefpirome was required. Cefpirome of 2 g every 8 h for intravenous bolus injection or 2 g every 12 h for extended infusion over 4 h was recommended with normal kidney function receiving ECMO. We established a population pharmacokinetic model for cefpirome in patients with ECMO, and appropriate cefpirome dosage regimens were recommended. The impact of ECMO could be due to the change in patient status on consideration of the small population and uncertainty in covariate relationships. Dose optimization of cefpirome may improve treatment success and survival in patients receiving ECMO. (This study has been registered at ClinicalTrials.gov under identifier NCT02581280.)

Lucas Joppa, founder of Microsoft's AI for Earth program, is taking an engineering approach to environmental issues

Yokogawa Electric Corporation (TOKYO: 6841) announces the release of Exaquantum R3.20, an enhanced version of its plant information management system (PIMS) software package in the OpreX Asset Operations and Optimization family.