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Impact of disintegrants on rheological properties and printability in SSE 3D printing of immediate-release formulations
No full textInternational audienceThis study investigates the effects of disintegrants sodium starch glycolate (SSG) and crospovidone (CP) on the printability, rheological properties, and disintegration time of agar and hydroxypropyl methylcellulose (HPMC)-based formulations designed for semi-solid extrusion. Printability was assessed by measuring the dimensional accuracy of manually extruded filaments. Rheological analysis was performed using oscillatory measurements. Principal component analysis (PCA) and Spearman correlation analysis identified three key components (phase angle, critical strain, and elastic modulus) that explained the total variance in the rheological dataset. A 2 × 3 factorial design was employed to evaluate the impact of CP, SSG, and HPMC on these rheological parameters, as well as on printability and disintegration time. Results indicated that formulations containing HPMC and SSG generally exhibited better printability. Formulations containing CP achieved satisfactory printability only when SSG or HPMC was included. The optimal printability and rheological properties were achieved with formulations containing 5 % CP and 10 % SSG. Linear regression models correlated geometric volumes of the model and pycnometric volumes of printed objects, with validation showing that predicted masses were within a 95 % confidence interval of measured values for various shapes. All formulations demonstrated immediate-release properties, confirming the successful fabrication of personalised immediate-release dosage forms using semi-solid extrusion technology
Predicting container intermodal transport arrival times: An approach based on IoT data
No full textInternational audienceThe maritime container transport industry faces substantial complexity due to the involvement of numerous stakeholders and the handling of massive volumes of both container and related data. Ensuring the traceability and security of transported goods is a challenge that shipping companies and freight forwarders face every day on behalf of their end customers, the owners of the goods being transported. The use of IoT devices generates a huge amount of data about the goods, the container and its environment that needs to be processed and analysed. Therefore, to address this challenge, we conducted research on leveraging the insights offered by the IoT to gain a better understanding of the dynamics within the supply chain at the container level and all along its path through different stakeholders. We proposed an original service based on machine learning algorithms to focus on providing accurate estimates of the Expected Time of Arrival from door to door
Nickel and Iron Biocarbon Catalysts for Water-Gas Shift Reaction
No full textInternational audienceBiocarbon catalysts for water-gas shift (WGS) reaction were prepared from pyrolyzed fern (F) impregnated with iron (Fe) and nickel (Ni) salts. They were tested in a fixed-bed reactor from 180 °C to 400 °C with variable steam to carbon monoxide (S/CO) ratio (1.4 to 20.7) and compared to rust. CO conversion was mostly below 10% and favored by increasing temperature and steam partial pressure relative to WGS kinetics. Ni-biocarbon catalysts were more active for WGS due to their lower temperature activity, according to their reducibility and inherent metals which improved electronic properties. WGS selectivity was generally above 95%, reflecting WGS predominance over methanation. FNiFe-B (impregnated before pyrolysis) was the most performant catalyst (10.3% conversion, 99.7% selectivity, 280 °C). Maximal rust conversion was 6.9% at 280 °C, compared to 20% at 300 °C in the literature. Catalyst activation energy and pre-exponential factor of 92.1 kJ/mol and 2.2 × 108 respectively were determined, and comparable to literature (up to 130 kJ/mol; 5.8 × 1010). Low temperature activity provided by Ni combined with Fe and fern-inherent metals’ co-catalytic effect was reflected in the high WGS performance by FNiFe-B with its associated kinetic parameters (59.5 kJ/mol; 5.6 × 105)
Tailoring a Red Deer Algorithm for Solving an Integrated Surgery Planning and Scheduling Problem
No full textInternational audienceThis paper tackles a challenging Integrated Surgery Planning and Scheduling Problem that simultaneously considers operating rooms and recovery beds. The objective is to minimize the maximum daily closing time of the operating theatre, a key metric for optimizing hospital resource utilization and improving the quality of patient care. To address this NP-hard problem, we propose using the Red Deer Algorithm (RDA), a recently developed evolutionary metaheuristic inspired by the mating behavior of Scottish Red Deer during their breeding season. To evaluate the effectiveness of the proposed approach, computational experiments were carried out on a series of benchmark instances. The results highlight the effectiveness of the RDA in generating high-quality surgical schedules, contributing to improved operational efficiency and enhanced patient outcomes
A Digital Twin Based Decision Support System for the Management of an Operating Room
No full textInternational audienceWith healthcare demand rising worldwide, hospital services are increasingly needed. Hospitals' performance is tightly linked to their surgical suite performance, which makes it necessary for surgical suites to be efficient. In this paper, we focus on the operating room schedule execution and related decision-making. We thus propose a digital twin-based decision support system for the prospective and retrospective simulation and analysis of the operating room schedule execution. We describe the developed prototype (inputs/output/parameters/modeling) and its functionalities and show its application to an operating room inspired by a real case
Analysing the modifications of carbon black and other fillers after pyrolysis of model tyres
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Graphene-like materials produced from lignin using combination of thermal treatments
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Kinetics study of tropical agro-residues : effect of biomass characteristics on activation energies
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