To control the lateral motion of autonomous vehicles, their precise lateral dynamics models are required. However, vehicles inherently exhibit nonlinear characteristics, and the model of a vehicle changes according to...
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Background: repeat department-wide surveys are commonly employed for infection control. There remains debate concerning their cost-effectivess. The aim of the study was to measure the impact of repeat department-wide ...
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Background: repeat department-wide surveys are commonly employed for infection control. There remains debate concerning their cost-effectivess. The aim of the study was to measure the impact of repeat department-wide surveys in major in-patient departments (IPds) and ambulatory facilities (AFs) in a tertiary care hospital. This was a retrospective study of 138 surveys condcuted in 96 departments over a 5-year period. Methods: Two itemized questionnaires were designed to assess the most frequently inadequately adhered to infection control measures: one for IPd (with 21 items) and the other for AF (with 17 items). results: A total of 72 surveys were conducted in 49 IPds, of which 39 (54%) were repeat surveys, and 66 surveys in 47 AFs, of which 33 (50%) were repeat surveys. The baseline rate of adherence/department was 71% +/- 14 for the IPd, with an increase from the first to the last survey to 82% +/- 13 (P = .037). In 15/21 measured infection control items, adherence improved. Adherence to infection control items was lower at baseline in the AFs than in the IPds (63 +/- 27), with an increase to 76 +/- 20 (non significant). Although adherence improved for 9 items, it deteriorated in another 8, producing an overall statistically unchanged outcome. Conclusion: repeat whole-department surveys contribute moderately to increased adherence to infection control guidelines. AFs demonstrate lowerrates of adherence to infection control guidelines and are less receptive to educational measures. (c) 2024 Association for Professionals in Infection control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
Present study describes entanglement of a sea horse Hippocampus kelloggi in discarded nylon fishing nets or "Ghost nets". This was observedduring the routine sampling and monitoring program on 25th August 2...
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Present study describes entanglement of a sea horse Hippocampus kelloggi in discarded nylon fishing nets or "Ghost nets". This was observedduring the routine sampling and monitoring program on 25th August 2021 in dhamara estuary, Bay of Bengal, Odisha. This specimen is different from other similar species having well developed coronate with five short spines, backward pointing rounded cheek spine;rounded eye spine;thick body rings;thick snout and narrow body. Ghost net entanglement imposes pressure to Hippocampus kelloggi which is under vulnerable (VU) category in the IUCN red List of Threatened Species. Therefore, it is decisive to initiate appropriate management steps to regulate the abandoned fishing nylon net in the coastal and marine ecosystem to protect the marine biodiversity.
In this paper, to solve the constraints and upgrade the control systems of industrial copper solvent extraction processes, an improved two-layer (optimization and stabilization) control strategy was proposed. The prop...
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In this paper, to solve the constraints and upgrade the control systems of industrial copper solvent extraction processes, an improved two-layer (optimization and stabilization) control strategy was proposed. The proposedcontrol strategy is equipped with an advanced-step multistage nonlinear model predictive controller. It was successfully tested against simulateddisturbances, noise and set point changes. Moreover, the proposed strategy was applied for an industrial process and the obtainedresults were compared to the plant control strategy and the latest proposedcontrol strategy for industrial copper solvent extraction in the literature. With the proposedcontrol strategy and the latest proposedcontrol strategy in the literature, the production of the copper solvent extraction process was increased by almost 6% and 3%, respectively, compared to the plant control strategy, and the process variation was decreased by 90-92% and 80-85%, respectively.
The crystal growth kinetics of a proprietary active pharmaceutical ingredient (API) was investigated by isothermal seeded batch de-supersaturation experiments in solvent mixtures using the "true" thermodynam...
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The crystal growth kinetics of a proprietary active pharmaceutical ingredient (API) was investigated by isothermal seeded batch de-supersaturation experiments in solvent mixtures using the "true" thermodynamic representation of the super-saturation driving force, which considers the activities of the saturated and supersaturated states. Three approaches to approximate the experimentally inaccessible activity coefficients of the supersaturated state were assessed, as well as the most common approximation, which omits the activity coefficients altogether. Subsequently, the supersaturation data from the different expressions were fed into a population balance model to estimate kinetic parameters for the empirical, Burton-Cabrera-Frank, and birth-and-spread growth models. The results demonstrate that the approach used to compute the supersaturation alters the estimated kinetic parameters significantly, having potentially serious implications for their physical interpretation and for extracting the physical properties they represent in lumped form. Moreover, including the chemical activities in the supersaturation leads to kinetic parameters with a tighter joint confidence interval and weaker parameter correlation that can better explain the experimental observation of the API growing appreciably only under higher antisolvent amounts. Finally, the simultaneous occurrence of multiple crystal growth mechanisms is investigated, concluding that the additive contribution of B+S and BCF best explains the supersaturation decay observed in the experiments for this API.
In view of the complexity of tire structure and working conditions, tire models are often based on complete and accurate test data. In combined with the theory of tire dynamics, the empirical and semi-empirical tire m...
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In view of the complexity of tire structure and working conditions, tire models are often based on complete and accurate test data. In combined with the theory of tire dynamics, the empirical and semi-empirical tire models are built. In order to accurately measure the tire mechanical properties, it is necessary to strictly control the wear state of the tire treadduring the tire test. But there is still a certain amount of wear, which does not guarantee the consistency of the data. In order to study the influence of wear on the mechanical properties of the tire, based on the tire footprint pressure distribution model and brush model theory, combined with the brush model theory and the rubber block shear stiffness deformation theory, the tire cornering stiffness model underdifferent wear conditions is established. The footprint pressure distribution model is built based on the results of footprint test underdifferent wear conditions. And combined the test result with different tread wear conditions and the theory of brush model, the tire brush model considering tread wear conditions is built. Based on the above theoretical model, the unitire tire cornering slip model considering the tread wear state is established. To verify the accuracy of the model, the unitire cornering slip model is obtained by using the cornering slip data in three tread wear states, and the tire mechanical properties of the other tread wear conditions are predicted. The error between the simulation results of the model and the experimental results is small, which effectively prove the predictive ability of unitire cornering slip model considering tread wear. This study will help to improve the unitire tire model and provide theoretical and technical support for the unitire indoor and outdoor expansion applications.
Transarterial chemoembolization (TACE) is considered the main treatment for intermediate and advanced liver cancer. Nevertheless, TACE may aggravate liver fibrosis in these patients, which could affect the therapeutic...
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Transarterial chemoembolization (TACE) is considered the main treatment for intermediate and advanced liver cancer. Nevertheless, TACE may aggravate liver fibrosis in these patients, which could affect the therapeutic effect after TACE. Pirfenidone (PFd) exhibits significant antifibrotic effects in the liver, primarily via inhibition of hepatic stellate cells (HSCs) activation. However, owing to the high dose required for effective treatment, oral administration of PFd is associated with several side effects. This study introduces an oral folic acid (FA)-modified protein-polysaccharide PFd nanoemulsion designed to treat post-TACE liver fibrosis via liver targeting. This novel PFd oral nanoemulsion withstands gastrointestinal digestion and ensures the gastrointestinal stability of PFd. Furthermore, this nanoemulsion improves the intestinal permeability and antifibrotic efficacy of PFd at a lowerdose via folate receptors expressed on both intestinal epithelial cells and activated HSCs. In conclusion, this FA-modified protein-polysaccharide nanoemulsion presents a promising approach for oral PFddelivery to effectively ameliorate fibrosis after TACE for liver cancer.
As the country's only regional electricity spot market pilot, the southern regional electricity spot market needs to comprehensively consider the natural resource endowment of the East and west of the southern reg...
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ISBN:
(数字)9798350303896
ISBN:
(纸本)9798350303896
As the country's only regional electricity spot market pilot, the southern regional electricity spot market needs to comprehensively consider the natural resource endowment of the East and west of the southern region, the supply anddemand of provinces, and the complexity andrealizability of the clearing model. From the perspective of combining scientific research with engineering practice, this paper first establishes the overall framework of regional power spot trading;Then the South Grid and provincial grid two-level scheduling joint transaction mechanism is designed;Finally, a regional spot clearing model considering the priority of new energy consumption is constructed to provide technical support forregional spot development.
Objective: To upgrade cleaning anddisinfection of patient rooms in a crowded emergency department (Ed). Setting: Tertiary referral hospital. design: Prospective, 3-component, before-and-after intervention study. Meth...
Objective: To upgrade cleaning anddisinfection of patient rooms in a crowded emergency department (Ed). Setting: Tertiary referral hospital. design: Prospective, 3-component, before-and-after intervention study. Methods: Phase 1 consisted of a 4-week baseline determination of Ed patient-room cleanliness, using two means: (1) the fluorescence spray, applied before cleaning and assessed subsequently with an ultraviolet lamp. results are expressed as % of removed spots/all spots (>= 7/10 cleaned spots/room was considered clean;(2) ATP swabs obtained after cleaning, which test for presence of residual organic material;readings < 45 were considered clean. Phase 2 consisted of revision andreorganization of established cleaning practices. Phase 3 consisted of adding one cleaning person in afternoon/evening shifts, for 4-weeks, during which room cleanliness was assessed as previously described. results: Cleanliness of the 79 patient rooms, for which fluorescence tests were available from before and after cleaning for all three phases of the study, increased from a baseline of 50% +/- 35 removed spots/all spots, to 61% +/- 36 after the first intervention (CI95-0.6 - 21, P = 0.54) and to 68% +/- 35 after the second intervention (CI95 5- 31, P = 0.004, as compared to the baseline). Subanalysis showed that evening shifts improved most remarkably, from 47% +/- 32 (n = 45), to 60% +/- 33 (n = 49) to 76%+/- 29 (n = 29), respectively, from baseline through the second and third phase (P = 0.001). ATP testing appeared less sensitive for assessment of cleanliness but confirmed the assessment by fluorescence for overall cleanliness (CI95 1- 14, P = 0.018). Conclusions: Ourdata demonstrate that a two-step intervention significantly improves cleaning in a busy Ed.
ABSTrACT: Artificial intelligence and specifically machine learning applications are nowadays used in a variety of scientific applications and cutting-edge technologies, where they have a transformative impact. Such a...
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ABSTrACT: Artificial intelligence and specifically machine learning applications are nowadays used in a variety of scientific applications and cutting-edge technologies, where they have a transformative impact. Such an assembly of statistical and linear algebra methods making use of large data sets is becoming more and more integrated into chemistry and crystallization research workflows. This review aims to present, for the first time, a holistic overview of machine learning and cheminformatics applications as a novel, powerful means to accelerate the discovery of new crystal structures, predict key properties of organic crystalline materials, simulate, understand, andcontrol the dynamics of complex crystallization process systems, as well as contribute to high throughput automation of chemical process development involving crystalline materials. We critically review the advances in these new, rapidly emerging research areas, raising awareness in issues such as the bridging of machine learning models with first-principles mechanistic models, data set size, structure, and quality, as well as the selection of appropriate descriptors. At the same time, we propose future research at the interface of applied mathematics, chemistry, and crystallography. Overall, this review aims to increase the adoption of such methods and tools by chemists and scientists across industry and academia.
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