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A fusion reactor based on the spherical tokamak is very likely to be completely non-inductive for the majority of the plasma ramp-up and steady-state phases, due to the limitations imposed on the central coil assemblies by the compact design. Efficiency gains from solenoid-driven current cannot be relied upon. It is also critical that an electricity-producing plant maximises the wall-plug efficiency of its heating and current drive (HCD) system, this being one of the largest consumers of recirculating power. It is therefore essential that the HCD system is well-optimised for current drive efficiency in order to meet the goal of net electricity production. The UK’s Spherical Tokamak for Energy Production (STEP) reactor design program has recently taken the decision to use exclusively microwave-based heating and current drive actuators for its reactor concepts. We present the optimisation of an electron cyclotron current drive scheme for a spherical tokamak reactor, based around the STEP concept, arriving at a solution which overcomes the limitations imposed by the spherical tokamak geometry in terms of microwave access and high trapped particle fraction. The solution uses high-field side absorption and a mix of fundamental and 2nd harmonic O mode, with overall power requirements reducing with increasing number of frequencies used. An additional fundamental frequency is also added to further boost the efficiency during non-inductive plasma ramp.

In a Heavy Ion Beam Diagnostic (HIBD), the plasma potential is obtained by measuring the energy of the secondary ions resulting from beam-plasma collisions by an electrostatic energy analyzer with split-plate detector (SPD), which relates the secondary ion beam energy variation to its position determined by the difference in currents between the split plates. Conventionally, the data from SPD are analyzed with the assumption that the secondary beam current is uniform. However, the secondary beam presents an effective projection of the primary beam, the current of which, as a rule, has a bell-like non-uniform profile. This paper presents: (i) the general features of the secondary beam profile formation, considered in the simplistic approximation of the circular primary beam and the secondary ions that emerge orthogonal to the primary beam axis, (ii) details of spit-plate detection and the influence of the secondary beam non-uniformity on plasma potential measurements, (iii) supported experimental data from the tokamak ISTTOK HIBD for primary and secondary beam profiles and the SPD transfer characteristic, obtained for the 90° cylindrical energy analyzer (90° CEA) and (iv) the implementation of a multiple cell array detector (MCAD) with dedicated resolution for the measurements of secondary beam profile and MCAD operation in multi-split-plate detection mode for direct measurements of the SPD transfer characteristic.

ABSTRACT Recent development in science has led to a significant improvement in safety for the anaesthetic management of children. Enhanced recovery after surgery is one of the novel approaches aiming to enhance paediatric surgical outcomes and their quick recovery. Preoperative counselling, minimal fasting, and no routine pharmacological premedication are critical components of enhanced recovery after surgery. As anaesthetists, management of airway is our priority and introduction of paraoxygenation in addition to preoxygenation has resulted in reduction in desaturation episodes during periods of apnoea. Safe care has been made possible by improvements in monitoring, equipment, medications, techniques, and resuscitation protocols. We are motivated to collect more evidence regarding ongoing disputes and issues, such as the effect of anaesthesia on neurodevelopment.

ABSTRACT Transfusion of blood and blood products has many adverse effects and should be done only if patient benefits outweigh the associated risks. Current understanding of blood transfusion has improved dramatically, revolutionising the care of surgical, trauma, obstetric and critically ill patients. Most guidelines advise a restrictive approach for stable patients with non-haemorrhagic anaemia for red blood cell transfusion. The rationale for red blood cell transfusion has historically been to improve oxygen transport capacity and consumption-related parameters in anaemic patients. Current understanding casts serious doubts about the true potential of red blood cell transfusions to improve these factors. There may not be any benefit from blood transfusion beyond a haemoglobin threshold of 7 g/dL. In fact, liberal transfusion may be associated with higher complications. Guideline-based transfusion policy should be adopted for the administration of all blood products including fresh frozen plasma, platelet concentrates and cryoprecipitate etc. This should be integrated with clinical judgement.

JET experiments using the fuel mixture envisaged for fusion power plants, deuterium and tritium (D–T), provide a unique opportunity to validate existing D–T fusion power prediction capabilities in support of future device design and operation preparation. The 2021 JET D–T experimental campaign has achieved D–T fusion powers sustained over 5 s in ITER-relevant conditions i.e. operation with the baseline or hybrid scenario in the full metallic wall. In preparation of the 2021 JET D–T experimental campaign, extensive D–T predictive modelling was carried out with several assumptions based on D discharges. To improve the validity of ITER D–T predictive modelling in the future, it is important to use the input data measured from 2021 JET D–T discharges in the present core predictive modelling, and to specify the accuracy of the D–T fusion power prediction in comparison with the experiments. This paper reports on the validation of the core integrated modelling with TRANSP, JINTRAC, and ETS coupled with a quasilinear turbulent transport model (Trapped Gyro Landau Fluid or QualLiKiz) against the measured data in 2021 JET D–T discharges. Detailed simulation settings and the heating and transport models used are described. The D–T fusion power calculated with the interpretive TRANSP runs for 38 D–T discharges (12 baseline and 26 hybrid discharges) reproduced the measured values within 20 % . This indicates the additional uncertainties, that could result from the measurement error bars in kinetic profiles, impurity contents and neutron rates, and also from the beam-thermal fusion reaction modelling, are less than 20 % in total. The good statistical agreement confirms that we have the capability to accurately calculate the D–T fusion power if correct kinetic profiles are predicted, and indicates that any larger deviation of the D–T fusion power prediction from the measured fusion power could be attributed to the deviation of the predicted kinetic profiles from the measured kinetic profiles in these plasma scenarios. Without any posterior adjustment of the simulation settings, the ratio of predicted D–T fusion power to the measured fusion power was found as 65%–96% for the D–T baseline and 81%–97% for D–T hybrid discharge. Possible reasons for the lower D–T prediction are discussed and future works to improve the fusion power prediction capability are suggested. The D–T predictive modelling results have also been compared to the predictive modelling of the counterpart D discharges, where the key engineering parameters are similar. Features in the predicted kinetic profiles of D–T discharges such as underprediction of n e are also found in the prediction results of the counterpart D discharges, and it leads to similar levels of the normalized neutron rate prediction between the modelling results of D–T and the counterpart D discharges. This implies that the credibility of D–T fusion power prediction could be a priori estimated by the prediction quality of the preparatory D discharges, which will be attempted before actual D–T experiments.

The rapid growth of online shopping activities on e-commerce platforms signifies the relevance of reviews in shaping consumers’ purchasing behavior, prompting e-retailers to explore ways to leverage high-quality reviews on their platforms. Despite its importance, existing research has predominantly examined the impact of reviews on consumers’ decision-making processes, with a dearth of inputs on the factors that influence consumers’ intentions to generate reviews. The limited research that has explored the driving factors of review generation in the hospitality and tourism sectors, insufficient to apply for e-commerce sector. The study aims to address this need gap by introducing the “MOTECH Framework,” which integrates motivational factors from self-determination theory with the technological attributes of the Technology Acceptance Model to identify the primary influencers of consumers’ review-sharing intentions. This study applied an online survey approach to collect primary data for the research. Structural equation modeling technique via SMART-PLS (4.1.1.1) software was applied to 240 valid responses. This study observes a positive impact of intrinsic motivators on consumers’ intention to share online reviews. Among extrinsic motivators, economic rewards encourage consumers to provide feedback. In contrast, self-enhancement negatively influences consumers’ intentions. Furthermore, the technological attributes of e-commerce platforms’ review systems significantly impact consumers’ review-sharing behavior. The uniqueness of the research lies in integrating two theoretical frameworks to develop the “MOTECH Framework,” which identifies key motivational and technological factors that shape consumers’ review-sharing behavior, specifically in the context of e-commerce platforms. The MOTECH framework further endorses Goals 12 (Responsible Consumption and Production) and 9 (Industry, Innovation, and Infrastructure), promoting ethical engagement and transparent customer feedback. Businesses and consumers may benefit from the framework’s endorsement of reliable, transparent review processes, which promote sustainable digital marketplaces, ultimately leading to sustainable consumer intention towards sharing reviews.

Background and Aims: Endotracheal intubation (ET) in infants is considered a challenging task over the decades. Infants have short safe apnoea time, and this difficulty has been vanquished to some extent by using the videolaryngoscopes (VLs), but there exists a dearth of research particularly in this vulnerable subset. Therefore, this trial was conducted to evaluate intubation times obtained with C-MAC VL and conventional Miller laryngoscopes in infants. Methods: A total of 80 infants aged between 1 month and 1 year with American Society of Anesthesiologists physical status I-II requiring ET were randomised in two groups; the C-MAC VL or Miller laryngoscope ML. Anaesthesia was induced with sevoflurane 1-8% and atracurium 0.5 mg/kg IV. The primary outcome was evaluated as the total time taken to intubate. Secondary outcomes were time to achieve best glottic view (TBGV), tube insertion time (TIT), percentage of glottic opening (POGO) score, number of attempts and intubation difficulty score (IDS). Results: The median (interquartile range) of time taken for ET was less in VL; 22.5 (20.75-26) compared to ML; 26 (21.75-31). TBGV was achieved early in VL group than the ML group (6.03 ± 1.33s/7.88 ± 2.44) respectively (P-value < 0.001). POGO was better in VL (99.12 ± 4.795s) compared to ML (85.50 ± 31.13s). IDS was less in the VL group (0.07 ± 0.27) than in ML (0.70 ± 1.14). Other parameters, such as the number of attempts, bougie usage, adverse effects and TIT, were comparable across the two groups. Conclusion: When compared to the ML group, the C-MAC VL group exhibited a decreased intubation time, early TBGV, better POGO score, reduced IDS and subjective intubation difficulty. As a result, we consider VL to be a more efficacious device for intubating the trachea in infants.

The research elaborates on and empirically verifies an integrative model that describes how the combination of various workplace resources results in the improvement of employee and organizational outcomes. It is based on the Job Demands–Resources model and the Resource-Based View to conceptualize Employee Experience Capital (EEC) as a higher-order construct, consisting of seven interrelation drivers, including digital autonomy, inclusive cognition, sustainability alignment, AI synergy, mindful design, learning agility, and wellness technology. This study examines the effect of these resources in developing two psychological processes, work resonance and employee vitality, which subsequently improves organizational performance. It also examines how the well-being of employees can be a contextual moderator that determines such relationships. The study, based on a cross-sectional design and the diversified sample of the employees who work in various digitally transformed industries, proves that EEC is a great way to improve resonance and vitality, which are mutually complementary mediators between resource bundles and performance outcomes. Employee well-being turns out to be a factor of performance, as opposed to a circumscribed condition. The results put EEC as one of the strategic types of human capital that values digital, sustainable, and wellness-oriented practices to employee well-being and sustainable organizational performance and provides new theoretical contributions and practical guidance to leaders striving to create resource-rich, high-performing workplaces.