Artículos de revistas sobre el tema "Optimisation efficace"
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1
Chouba, I., T. Arbaoui, L. Amodeo, F. Yalaoui, P. Blua, S. Sanchez y D. Laplanche. "Optimisation du service d’urgences à l’aide d’un modèle de simulation efficace". Revue d'Épidémiologie et de Santé Publique 67 (marzo de 2019): S86. http://dx.doi.org/10.1016/j.respe.2019.01.044.
2
Touil, Salah. "Optimisation du traitement physico-chimique des eaux d’encres". Journal of Renewable Energies 20, n.º 3 (30 de septiembre de 2017): 415–22. http://dx.doi.org/10.54966/jreen.v20i3.637.
Resumen
Les effluents d’encres doivent être traités avant rejet dans le milieu récepteur, le traitement physico-chimique est une technique de traitement efficace pour ces effluents. L’eau traitée respecte les normes marocaines de rejets, mais la forte consommation des réactifs lors du traitement est un point faible de cette technique. Dans cette étude, nous nous intéressons à l’optimisation du traitement physico-chimique par la combinaison des niveaux des facteurs susceptibles d’agir sur le traitement. Les réponses étudiées sont évidement la demande chimique en oxygène (DCO) et la turbidité. La méthode de conception expérimentale basée sur un modèle composite de 2ème ordre est employée. Les résultats obtenus ont permis de réaliser une réduction de la consommation du coagulant de 16.44 % et du floculant de 68.92 %.
3
Duclos-Prévet, Claire, François Guéna y Mariano Efron. "Algorithme génétique ou automate cellulaire : le cas d’une optimisation multicritère sous contraintes pour la conception d’une enveloppe". SHS Web of Conferences 147 (2022): 09001. http://dx.doi.org/10.1051/shsconf/202214709001.
Resumen
Il existe différentes méthodes génératives qui permettent une conception performancielle. Les algorithmes génétiques apparaissent comme la solution la plus populaire dans la littérature scientifique. Néanmoins, en pratique, les problèmes rencontrés nécessitent souvent une intégration de contraintes strictes que d’autres techniques génératives fonctionnant avec des règles, comme les automates cellulaires, sont plus aptes à intégrer. Dans cette étude, nous comparons l’efficacité de ces deux techniques appliquées à un même cas d’étude issu de la pratique professionnelle. Il s’agit de la conception d’une enveloppe pour une tour de bureaux à Madagascar qui intègre à la fois le confort thermique et la qualité de vue. Il ressort de cette expérience que l’approche la plus efficace est une méthode hybride qui utilise à la fois un automate cellulaire pour intégrer les contraintes, et un algorithme génétique conduisant l’optimisation multicritère.
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Raissouni, Rajaa, M’hamed Hamiche, Salmane Bourekkadi y Kenza Raissouni. "Optimisation des performances opérationnelles de l’industrie automobile électrique marocaine grâce à une intégration efficace de la chaîne logistique". SHS Web of Conferences 175 (2023): 01027. http://dx.doi.org/10.1051/shsconf/202317501027.
Resumen
L’importance des décisions relatives à l’intégration de la chaîne logistique dans la stratégie de l’industrie automobile électrique au Maroc est mise en évidence par cette étude. Des recherches révèlent que les entreprises les plus admirées et craintes aujourd’hui sont celles qui parviennent à établir des liens étroits entre leurs clients, leurs fournisseurs et leurs processus internes en utilisant des réseaux d’intégration. En se basant sur ces affirmations, notre étude se propose d’explorer la corrélation entre les différentes variables liées à la performance opérationnelle, telles que (les coûts, la qualité, la flexibilité), ainsi que les variables indépendantes d’intégration de la chaine logistique (intégration client, intégration fournisseur, intégration interne). Notre étude se concentre sur la causalité en analysant comment les trois dimensions de l’intégration affectent la performance opérationnelle des entreprises du secteur automobile électrique marocaine. Dans le cadre de cette étude, un échantillon composé de 2 entreprises a été sélectionné afin de recueillir des données empiriques. Ces données ont été collectées au moyen d’un questionnaire spécifiquement élaboré et amélioré grâce à des entretiens menés avec des experts et un comité de juges. Différentes techniques statistiques, telles que l’analyse descriptive, la corrélation et les régressions multiples, ont été employées pour cette étude. Notre étude a démontré que l’intégration client ont exercé l’impact le plus significatif sur la performance opérationnelle de la chaîne logistique du secteur automobile marocain. Les résultats empiriques ont révélé des corrélations et des interactions notables entre les trois dimensions de la chaine logistique intégrée, ainsi qu’entre ces dimensions et les différents aspects de la performance opérationnelle. Ainsi, les résultats ont confirmé l’opinion des acteurs de l’industrie automobile selon laquelle il existe un lien étroit entre la chaine logistique intégrée et sa performance opérationnelle.
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Carrié, Cédric, Noémie Sauvage y Matthieu Biais. "Optimisation du traitement par β-Lactamines chez le patient de réanimation en hyperclairance rénale". Médecine Intensive Réanimation 30, n.º 2 (18 de mayo de 2021): 157–64. http://dx.doi.org/10.37051/mir-00059.
Resumen
L'optimisation du traitement par β-Lactamines représente toujours un défi complexe chez le patient de soins critiques, compte tenu de la large variabilité des concentrations d'antibiotiques en relation avec d’importantes interactions pharmacocinétiques et pharmacodynamiques (PK/PD). D’une part, il est communément admis que les patients présentant une insuffisance rénale justifient une diminution des posologies afin de limiter le risque de toxicité. D’autre part, certains patients peuvent également présenter une hyperclairance rénale (HCR), désormais reconnue comme un des principaux facteurs de risque de sous-dosage et d’échec thérapeutique des agents anti-infectieux à élimination urinaire. L’hyperclairance est une entité fréquente en réanimation chirurgicale, probablement sous-diagnostiquée en l’absence de mesure de clairance urinaire de la créatinine (CLCR). Pour certaines β-lactamines prescrites en probabiliste, plusieurs études de pharmacocinétique suggèrent une augmentation des posologies recommandées afin d’atteindre les objectifs PK/PD chez les patients atteints d'HCR. En cas d’impossibilité de monitorer les concentrations plasmatiques dans des délais brefs, l'optimisation des posologies de β-lactamines selon le monitorage quotidien de la CLCR est une stratégie sûre et efficace pour améliorer les taux de succès thérapeutique. L’HCR étant un phénomène fluctuant, cette stratégie impose un monitorage quotidien de la CLCR afin d’adapter les posologies et limiter le risque de surdosage.
6
CHEVALET, C. y D. BOICHARD. "Sélection assistée par marqueurs". INRAE Productions Animales 5, HS (2 de diciembre de 1992): 291–94. http://dx.doi.org/10.20870/productions-animales.1992.5.hs.4307.
Resumen
L’utilisation de marqueurs génétiques polymorphes en amélioration génétique des animaux est discutée dans deux situations : dans une population issue du croisement entre deux races bien différenciées, ou dans le cadre d’une sélection intra-familiale. En général, il y aurait peu de gain à espérer par rapport à la sélection sur performances pour des caractères d’héritabilité assez élevée et faciles à mesurer. En revanche cette forme de sélection semble indiquée dans les cas suivants : sélection précoce des candidats à la reproduction, optimisation de l’introgression d’un gène marqueur, contrôle de caractères faiblement héritables ou difficiles à mesurer. Dans le cas d’une sélection intra-familiale il semble que la combinaison d’une sélection sur performances avec une sélection sur marqueurs ne soit efficace que si un très petit nombre de marqueurs (un à trois) sont simultanément pris en compte. Dans tous les cas, les effectifs d’animaux à mesurer ou à typer demeurent du même ordre de grandeur que ceux nécessités par les contrôles sur performances habituels.
7
Bolte, Michele y Michel Troquet. "Optimisation de la caracterisation de polymeres hydrosolubles par chromatographie a permeation de gel: Utilisation de plans d'experiences, une methode rapide et efficace". European Polymer Journal 26, n.º 2 (enero de 1990): 177–79. http://dx.doi.org/10.1016/0014-3057(90)90184-6.
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GUEGUEN, N., L. LEFAUCHEUR y P. HERPIN. "Relations entre fonctionnement mitochondrial et types contractiles des fibres musculaires". INRAE Productions Animales 19, n.º 4 (13 de septiembre de 2006): 265–78. http://dx.doi.org/10.20870/productions-animales.2006.19.4.3494.
Resumen
Le muscle, tissu d’importance économique majeure chez les animaux producteurs de viande, est un tissu composite comprenant en majeure partie des fibres musculaires qui constituent une population très hétérogène aux caractéristiques contractiles et métaboliques variées. Les relations entre type contractile des fibres et fonctionnement mitochondrial, un composant essentiel du métabolisme énergétique musculaire, restent mal connues. Leur compréhension est pourtant essentielle pour espérer mieux maîtriser l’impact du type de fibres sur les diverses composantes de la qualité de la viande. Une analyse fine de la composante mitochondriale du fonctionnement énergétique des fi-bres a donc été entreprise en relation avec leurs caractéristiques contractiles. Les résultats indiquent que, contrairement aux fibres rapides de types IIX et IIB, la régulation mitochondriale dans les fibres lentes de type I et, dans une moindre mesure, de type rapide IIA est hautement spécialisée avec une optimisation de l’efficacité des mitochondries (couplage entre oxydation et phosphorylation, capacité oxydative maximale), une restriction de leur perméabilité à l’ADP et un couplage fonctionnel entre les kinases mitochondriales et la production d’ATP, permettant un transfert efficace de l’énergie vers les myosines. De plus, la régulation mitochondriale et les transferts énergétiques sont modulés par l’activation calcium-dépendante des ATPases portées par les myosines.
9
Ie, Kenya, Masanori Hirose, Tsubasa Sakai, Iori Motohashi, Mari Aihara, Takuya Otsuki, Ayako Tsuboya et al. "Protocol of a randomised controlled trial on the efficacy of medication optimisation in elderly inpatients: medication optimisation protocol efficacy for geriatric inpatients (MPEG) trial". BMJ Open 10, n.º 10 (octubre de 2020): e041125. http://dx.doi.org/10.1136/bmjopen-2020-041125.
Resumen
IntroductionWhether medication optimisation improves clinical outcomes in elderly individuals remains unclear. The current study aims to evaluate the effect of multidisciplinary team-based medication optimisation on survival, rehospitalisation and unscheduled hospital visits in elderly patients.Methods and analysisWe report the protocol of a single-centre, open-label, randomised controlled trial. The enrolled subjects will be medical inpatients, aged 65 years or older, admitted to a community hospital and receiving five or more regular medications. The participants will be randomly assigned to receive either an intervention for medication optimisation or the usual care. The intervention will consist of a multidisciplinary team-based medication review, followed by a medication optimisation proposal based on the Screening Tool of Older Persons’ potentially inappropriate Prescriptions/Screening Tool to Alert doctors to the Right Treatment criteria and an implicit medication optimisation protocol. Medication optimisation summaries will be sent to primary care physicians and community pharmacists on discharge. The primary outcome will be a composite of death, unscheduled hospital visits and rehospitalisation until 48 weeks after randomisation. Secondary outcomes will include each of the primary endpoints, the number of prescribed medications, quality of life score, level of long-term care required, drug-related adverse events, death during hospitalisation and falls. Participants will be followed up for 48 weeks with bimonthly telephone interviews to assess the primary and secondary outcomes. A log-rank test stratified by randomisation factors will be used to compare the incidence of the composite endpoint. The study was initiated in 2019 and a minimum of 500 patients will be enrolled.Ethics and disseminationThe study protocol has been approved by the Institutional Ethical Committee of St. Marianna University School of Medicine (No. 4129). The results of the current study will be submitted to a peer-reviewed journal.Trial registration numberUMIN000035265
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Frederick Uzoma Etumnu, Ipeghan Jonathan Otaraku, Matthew Idemudia Ehikhamenle y Bourdillon Odianonsen Omijeh. "Optimisation of liquefied natural gas production: genetic algorithm and custom-developed method". Global Journal of Engineering and Technology Advances 17, n.º 2 (30 de noviembre de 2023): 031–39. http://dx.doi.org/10.30574/gjeta.2023.17.2.0223.
Resumen
This study comprehensively analyses various optimisation techniques applied to Liquefied Natural Gas (LNG) production. Two datasets were used to assess the performance of these techniques, with a focus on improving LNG output. The results revealed that the genetic algorithm exhibited the highest average percentage improvement in the first dataset, achieving a 12% optimisation, followed closely by a custom-developed optimisation method at 11%. Bayesian optimisation showed an average of 4%, while gradient descent demonstrated the lowest optimisation with -2%. Notably, the second dataset displayed even more significant improvements, with the custom optimisation algorithm leading at an average of 32%, surpassing the genetic optimization method's 30%. This study underscores the efficacy of the custom algorithm and its potential for enhancing LNG production, positioning it as a promising alternative to traditional optimisation approaches.
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Bakkali Yakhlef, Salaheddine, Imane Guenoun, Benaîssa Kerdouh, Noureddine Hamamouch y Mohamed Abourouh. "Efficient DNA isolation from moroccan arar tree [Tetraclinis articulata (Vahl) Masters] leaves and optimization of the rapd-pcr molecular technique. Extraction efficace de l’ADN des feuilles du thuya de berberie (Tetraclinis articulata (Vahl) masters) et optimisation de la technique moléculaire rapd-pcr". Acta Botanica Malacitana 35 (1 de diciembre de 2010): 97–106. http://dx.doi.org/10.24310/abm.v35i0.2863.
Resumen
English. Molecular genetic analysis of Arar tree [Tetraclinis articulata (Vahl) Masters] is often limited by the availability of fresh tissue and an efficient and reliable protocol for high quality genomic DNA extraction. In this study, two DNA extraction protocols were specifically developed for extracting high quality genomic DNA from Arar tree leaves: modified QIAgen DNA Kit and protocol developed by Ouenzar et al. (1998). DNA yield and purity were monitored by gel electrophoresis and by determining absorbance at UV (A260/A280 and A260/A230). Both ratios were between 1.7 and 2.0, indicating that the presence of contaminating metabolites was minimal. The DNA yield obtained ranged between 20 to 40 µg/g of plant materiel. The Ouenzar and collaborators protocol gave higher yield but was more time consuming compared to QIAgen Kit. However, both techniques gave DNA of good quality that is amenable to RAPD-PCR reactions.Additionally, restriction digestion and PCR analyses of the obtained DNA showed its compatibility with downstream applications. Randomly Amplified Polymorphic DNA profiling from the isolated DNA was optimized to produce scorable and clear amplicons. The presented protocols allow easy and high quality DNA isolation for genetic diversity studies within Arar tree.Français. Les analyses en génétique moléculaire chez le thuya de Berberie [Tetraclinis articulata (Vahl) Masters] sont souvent limitées par la disponibilité du matériel végétal frais et le temps nécessaire pour l’extraction l’ADN ainsi que par sa qualité. Dans cette étude, deux protocoles d’extraction, à partir des feuilles du thuya, de l’ADN génomique de haute qualité, ont été développés : le Kit Qiagen et le protocole mis au point par Ouenzar et al. (1998) modifiés. La qualité et la quantité de l’ADN sont évaluées par électrophorèse sur gel d’agarose et par la mesure de l’absorbance en UV à (A260/A280) et (A260/A230). Ces deux rapports varient entre 1,7 et 2,0 indiquant la faible fréquence des métabolites contaminants. Le rendement d’ADN varie entre 20 et 40 µg/g du matériel végétal. Le protocole de Ouenzar et collaborateurs donne le meilleur rendement d’ADN mais nécessite plus de temps. Néanmoins, les deux protocoles donnent un ADN de bonne qualité utilisable dans les réactions RAPD-PCR. En outre, la restriction enzymatique et l’analyse PCR de l’ADN obtenu ont montré sa compatibilité avec les applications moléculaires ultérieures. Les paramètres intervenant dans les réactions RAPD ont été optimisés. Les protocoles présentés permettent l’extraction facile de l’ADN de haute qualité nécessaire pour des études de la diversité génétique au sein du thuya.
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Benest, John, Sophie Rhodes, Thomas G. Evans y Richard G. White. "The Correlated Beta Dose Optimisation Approach: Optimal Vaccine Dosing Using Mathematical Modelling and Adaptive Trial Design". Vaccines 10, n.º 11 (30 de octubre de 2022): 1838. http://dx.doi.org/10.3390/vaccines10111838.
Resumen
Mathematical modelling methods and adaptive trial design are likely to be effective for optimising vaccine dose but are not yet commonly used. This may be due to uncertainty with regard to the correct choice of parametric model for dose-efficacy or dose-toxicity. Non-parametric models have previously been suggested to be potentially useful in this situation. We propose a novel approach for locating optimal vaccine dose based on the non-parametric Continuous Correlated Beta Process model and adaptive trial design. We call this the ‘Correlated Beta’ or ‘CoBe’ dose optimisation approach. We evaluated the CoBe dose optimisation approach compared to other vaccine dose optimisation approaches using a simulation study. Despite using simpler assumptions than other modelling-based methods, we found that the CoBe dose optimisation approach was able to effectively locate the maximum efficacy dose for both single and prime/boost administration vaccines. The CoBe dose optimisation approach was also effective in finding a dose that maximises vaccine efficacy and minimises vaccine-related toxicity. Further, we found that these modelling methods can benefit from the inclusion of expert knowledge, which has been difficult for previous parametric modelling methods. This work further shows that using mathematical modelling and adaptive trial design is likely to be beneficial to locating optimal vaccine dose, ensuring maximum vaccine benefit and disease burden reduction, ultimately saving lives
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Усиченко, В. И. y Д. В. Заврайский. "ДВУХУРОВНЕВАЯ ОПТИМИЗАЦИЯ ПРОГРАММНОГО КОДА ДЛЯ ПОЛИНОМОВ ЛЕЖАНДРА ВЫСОКИХ ПОРЯДКОВ". Journal of Rocket-Space Technology 26, n.º 4 (5 de septiembre de 2018): 127–36. http://dx.doi.org/10.15421/451823.
Resumen
The expediency of two-level optimisation of a program code for calculation Legendre polinomials of high orders is shown. The conclusion about efficacy of optimisation is made on the basis of timekeeping by operating system means. This paper is a second part of article [8].
14
Gao, Na y Qiuling Lu. "Big Data Analysis and Deep Learning Optimization in Artificial Intelligence Production of Information Enterprises". Scalable Computing: Practice and Experience 25, n.º 3 (12 de abril de 2024): 1533–40. http://dx.doi.org/10.12694/scpe.v25i3.2703.
Resumen
Intelligent manufacturing technology is required to upgrade existing enterprises' management and production operations. To construct a ground breaking fusion structure, this project unites the theoretical underpinnings, technical breakthroughs, and applications of data analytics, optimisation, and intelligent production engineering. It is driven by China's desire of cutting-edge commodities and efficient growth methods. This research establishes the broad framework for merging optimisation and data analytics. There is a list of data analytics and system optimisation technologies that can address important challenges with intelligent manufacturing. By integrating data analytics and optimisation, businesses may better forecasting and management of new terrain, as well as reveal hidden information to increase decision-making efficacy.
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Kong, Xianghui, Yinpeng Ma, Yu Pan, Wei Jiang, Dingjin Li, Xijun Chen, Guoli Yang, Zhenhua Duan y Jiechi Zhang. "Extraction optimisation and lipid-lowering activity of Auricularia heimuer polysaccharides". Czech Journal of Food Sciences 39, No. 6 (16 de diciembre de 2021): 452–59. http://dx.doi.org/10.17221/146/2020-cjfs.
Resumen
Assessments of molecular weight distribution and activity/efficacy of Auricularia heimuer polysaccharides (AAP) are of substantial significance for its extraction process optimisation. In the present study, single-factor orthogonal test and response surface methodology were employed to optimise extraction conditions of AAP. Furthermore, a rat hyperlipidaemia model was established to compare the lipid-lowering activity of polysaccharides obtained by three extraction methods. Conditions for enzymatic hydrolysis were optimised as pH 5.0, 1% cellulase, 2.5% substrate concentration and enzymolysis time of 1.5 h, leading to an up to 31.8% polysaccharide yield and 89.13% of polysaccharides within the molecular weight range of 5 000 Da to 10 000 Da. The results of animal experiments showed that the lipid-lowering activity of enzymolysis-extracted polysaccharides was significantly higher than that of water- and ultrasonic-extracted ones (P < 0.01). So the present study revealed that enzymatic hydrolysis-extracted polysaccharides showed the strongest hypolipidaemia activity, providing a basis for the development of A. heimuer-based functional foods and drugs.
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Huotari, Janne, Teemu Manderbacka, Antti Ritari y Kari Tammi. "Convex Optimisation Model for Ship Speed Profile: Optimisation under Fixed Schedule". Journal of Marine Science and Engineering 9, n.º 7 (1 de julio de 2021): 730. http://dx.doi.org/10.3390/jmse9070730.
Resumen
We present a novel convex optimisation model for ship speed profile optimisation under varying environmental conditions, with a fixed schedule for the journey. To demonstrate the efficacy of the proposed method, a combined speed profile optimisation model was developed that employed an existing dynamic programming approach, along the novel convex optimisation model. The proposed model was tested with 5 different ships for 20 journeys from Houston, Texas to London Gateway, with differing environmental conditions, which were retrieved from actual weather forecasts. As a result, it was shown that the combined model with both dynamic programming and convex optimisation was approximately 22% more effective in developing a fuel saving speed profile compared to dynamic programming alone. Overall, average fuel savings for the studied voyages with speed profile optimisation was approximately 1.1% compared to operation with a fixed speed and 3.5% for voyages where significant variance in environmental conditions was present. Speed profile optimisation was found to be especially beneficial in cases where detrimental environmental conditions could be avoided with minor speed adjustments. Relaxation of the fixed schedule constraint likely leads to larger savings but makes comparison virtually impossible as a lower speed leads to lower propulsion energy needed.
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Cowen-Rivers, Alexander I., Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan Rhys Griffiths, Alexandre Max Maraval et al. "HEBO: An Empirical Study of Assumptions in Bayesian Optimisation". Journal of Artificial Intelligence Research 74 (11 de julio de 2022): 1269–349. http://dx.doi.org/10.1613/jair.1.13643.
Resumen
In this work we rigorously analyse assumptions inherent to black-box optimisation hyper-parameter tuning tasks. Our results on the Bayesmark benchmark indicate that heteroscedasticity and non-stationarity pose significant challenges for black-box optimisers. Based on these findings, we propose a Heteroscedastic and Evolutionary Bayesian Optimisation solver (HEBO). HEBO performs non-linear input and output warping, admits exact marginal log-likelihood optimisation and is robust to the values of learned parameters. We demonstrate HEBO’s empirical efficacy on the NeurIPS 2020 Black-Box Optimisation challenge, where HEBO placed first. Upon further analysis, we observe that HEBO significantly outperforms existing black-box optimisers on 108 machine learning hyperparameter tuning tasks comprising the Bayesmark benchmark. Our findings indicate that the majority of hyper-parameter tuning tasks exhibit heteroscedasticity and non-stationarity, multiobjective acquisition ensembles with Pareto front solutions improve queried configurations, and robust acquisition maximisers afford empirical advantages relative to their non-robust counterparts. We hope these findings may serve as guiding principles for practitioners of Bayesian optimisation.
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Chai, Boon Xian, Boris Eisenbart, Mostafa Nikzad, Bronwyn Fox, Yuqi Wang, Kyaw Hlaing Bwar y Kaiyu Zhang. "Review of Approaches to Minimise the Cost of Simulation-Based Optimisation for Liquid Composite Moulding Processes". Materials 16, n.º 24 (9 de diciembre de 2023): 7580. http://dx.doi.org/10.3390/ma16247580.
Resumen
The utilisation of numerical process simulation has greatly facilitated the challenging task of liquid composite moulding (LCM) process optimisation, providing ease of solution evaluation at a significantly reduced cost compared to complete reliance on physical prototyping. However, due to the process complexity, such process simulation is still considerably expensive at present. In this paper, cost-saving approaches to minimising the computational cost of simulation-based optimisation for LCM processes are compiled and discussed. Their specific applicability, efficacy, and suitability for various optimisation/moulding scenarios are extensively explored in detail. The comprehensive analysation and assimilation of their operation alongside applicability for the problem domain of interest are accomplished in this paper to further complement and contribute to future simulation-based optimisation capabilities for composite moulding processes. The importance of balancing the cost-accuracy trade-off is also repeatedly emphasised, allowing for substantial cost reductions while ensuring a desirable level of optimization reliability.
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Purnomo, Muhammad Ridwan Andi, Imam Djati Widodo y Zainudin Zukhri. "Intelligent optimisation for multi-objectives flexible manufacturing cells formation". Jurnal Sistem dan Manajemen Industri 8, n.º 1 (4 de junio de 2024): 11–21. http://dx.doi.org/10.30656/jsmi.v8i1.7974.
Resumen
The primary objective of conventional manufacturing cell formation typically uses grouping efficiency and efficacy measurement to reduce voids and exceptional parts. This objective frequently leads to extreme solutions, such as the persistently significant workload disparity among the manufacturing cells. It will have a detrimental psychological impact on operators who work in each formed manufacturing cell. The complexity of the problem increases when there is a requirement to finish all parts before the midday break, at which point the formed manufacturing cells can proceed with the following production batch after the break. This research examines the formation of manufacturing cells using two widely recognized intelligent optimization techniques: genetic algorithm (G.A.) and particle swarm optimisation (PSO). The discussed manufacturing system has flexible machines, allowing each part to have multiple production routing options. The optimisation process involved addressing four simultaneous objectives: enhancing the efficiency and efficacy of the manufacturing cells, minimizing the deviation of manufacturing cells working time with the allocated working hours, which is prior to the midday break, and ensuring a balanced workload for the formed manufacturing cells. The optimisation results demonstrate that the G.A. outperforms the PSO method and is capable of providing manufacturing cell formation solutions with an efficiency level of 0.86, efficacy level as high as 0.64, achieving a minimum lateness of only 24 minutes from the completion target before midday break and a maximum difference in workload as low as 49 minutes.
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Appasani, Bhargav, Amitkumar V. Jha, Deepak Kumar Gupta, Nicu Bizon y Phatiphat Thounthong. "PSOα: A Fragmented Swarm Optimisation for Improved Load Frequency Control of a Hybrid Power System Using FOPID". Energies 16, n.º 5 (25 de febrero de 2023): 2226. http://dx.doi.org/10.3390/en16052226.
Resumen
Particle swarm optimisation (PSO) is one of the widely adopted meta-heuristic methods for solving real-life problems. Its practical utility can be further enhanced by improving its performance. In order to acheive this, academics have presented several variants of the original PSO over the past few years, including the quantum PSO (QPSO), bare-bones PSO (BB-PSO), hybrid PSO, fuzzy PSO, etc. In this paper, the performance of PSO is improved by proposing a fragmented swarm optimisation approach known as the PSOα. The PSOα is tested and compared with PSOs over 14 different benchmarking cost functions to validate its efficacy. The analysis is also carried out to see the impact of α on its performance. It is observed that the average value of the cost function over 50 simulations obtained using the fragmented swarm approach is lower than that obtained using the standard PSO in 12 out of 14 benchmark functions. Similarly, the fragmented approach outperforms the standard PSO in 13 out of 14 benchmark functions when compared with the best fitness value achieved out of 50 simulations. Finally, the proposed approach is applied to solve the well-known real-life optimisation problem of load frequency control (LFC) in power systems. A test system comprising both renewable and traditional power sources is considered to evaluate the efficacy of the proposed technique. A fractional order proportional-integral-differential (FOPID) controller is used, whose parameters are optimised using the proposed PSO for achieving the LFC. The proposed fragmentation approach can be applied with other optimisation techniques to improve their performance.
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Niranchana Radhakrishnan. "Optimizing Data Centre Energy Efficiency with Dynamic Resource Allocation and Intelligent Cooling Management through Machine Learning". Journal of Electrical Systems 20, n.º 3s (4 de abril de 2024): 286–93. http://dx.doi.org/10.52783/jes.1287.
Resumen
Our research aims to improve energy efficiency in data centres by combining cloud computing infrastructure with machine learning techniques. We propose that dynamic resource assignment, combined with intelligent optimisation of cooling systems, can reduce power waste and operational costs. Real-time sensor data from various data centre components such as servers, cooling systems, and power distribution units is collected and fed into machine learning models for analysis. In this way, we can create power arrangements that are tailored to the resources and needs of various applications. The experimental results show that energy consumption has been reduced by an average of 30% compared to traditional methods. Furthermore, our machine learning models are quite accurate in predicting cooling system performance. For example, an Artificial Neural Network (ANN) has an accuracy rate of 98.78%. This result demonstrates the efficacy of our approach in promoting energy efficiency and operational performance in data centres: it not only provides a scalable, cost-effective solution to industry energy efficiency challenges, but it also improves day-to-day data centre operations by reducing electrical consumption. Our approach, which is based on dynamic allocation of computational resources and real-time data analysis for optimising cooling systems, not only saves energy but also improves operational efficiency. With energy in mind, we must all work towards a more sustainable and green approach to data centre management. Future research can look into other potential optimisations, as well as issues with scalability and application in real-world data centre environments.
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Rosenman, Stephen J. "Electroconvulsive therapy stimulus titration: Not all it seems". Australian & New Zealand Journal of Psychiatry 52, n.º 5 (5 de diciembre de 2017): 410–14. http://dx.doi.org/10.1177/0004867417743793.
Resumen
Objective: To examine the provenance and implications of seizure threshold titration in electroconvulsive therapy. Background: Titration of seizure threshold has become a virtual standard for electroconvulsive therapy. It is justified as individualisation and optimisation of the balance between efficacy and unwanted effects. Result: Present day threshold estimation is significantly different from the 1960 studies of Cronholm and Ottosson that are its usual justification. The present form of threshold estimation is unstable and too uncertain for valid optimisation or individualisation of dose. Threshold stimulation (lowest dose that produces a seizure) has proven therapeutically ineffective, and the multiples applied to threshold to attain efficacy have never been properly investigated or standardised. The therapeutic outcomes of threshold estimation (or its multiples) have not been separated from simple dose effects. Threshold estimation does not optimise dose due to its own uncertainties and the different short-term and long-term cognitive and memory effects. Potential harms of titration have not been examined. Conclusion: Seizure threshold titration in electroconvulsive therapy is not a proven technique of dose optimisation. It is widely held and practiced; its benefit and harmlessness assumed but unproven. It is a prematurely settled answer to an unsettled question that discourages further enquiry. It is an example of how practices, assumed scientific, enter medicine by obscure paths.
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Cole, Andrew G., Steven G. Kultgen, Nagraj Mani, Andrzej Ardzinski, Kristi Yi Fan, Emily P. Thi, Bruce D. Dorsey et al. "The identification of highly efficacious functionalised tetrahydrocyclopenta[c]pyrroles as inhibitors of HBV viral replication through modulation of HBV capsid assembly". RSC Medicinal Chemistry 13, n.º 3 (2022): 343–49. http://dx.doi.org/10.1039/d1md00318f.
Resumen
Pharmacokinetic optimisation of the clinical candidate HBV capsid inhibitor AB-506 resulted in dramatic improvements in oral exposure and half-life providing compound 17 which demonstrated low dose QD efficacy in a mouse model of HBV replication.
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Pecci, Filippo, Edo Abraham y Ivan Stoianov. "Quadratic head loss approximations for optimisation problems in water supply networks". Journal of Hydroinformatics 19, n.º 4 (17 de abril de 2017): 493–506. http://dx.doi.org/10.2166/hydro.2017.080.
Resumen
This paper presents a novel analysis of the accuracy of quadratic approximations for the Hazen–Williams (HW) head loss formula, which enables the control of constraint violations in optimisation problems for water supply networks. The two smooth polynomial approximations considered here minimise the absolute and relative errors, respectively, from the original non-smooth HW head loss function over a range of flows. Since quadratic approximations are used to formulate head loss constraints for different optimisation problems, we are interested in quantifying and controlling their absolute errors, which affect the degree of constraint violations of feasible candidate solutions. We derive new exact analytical formulae for the absolute errors as a function of the approximation domain, pipe roughness and relative error tolerance. We investigate the efficacy of the proposed quadratic approximations in mathematical optimisation problems for advanced pressure control in an operational water supply network. We propose a strategy on how to choose the approximation domain for each pipe such that the optimisation results are sufficiently close to the exact hydraulically feasible solution space. By using simulations with multiple parameters, the approximation errors are shown to be consistent with our analytical predictions.
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van der Wal, Junus M., Isidoor O. Bergfeld, Anja Lok, Mariska Mantione, Martijn Figee, Peter Notten, Guus Beute et al. "Long-term deep brain stimulation of the ventral anterior limb of the internal capsule for treatment-resistant depression". Journal of Neurology, Neurosurgery & Psychiatry 91, n.º 2 (4 de diciembre de 2019): 189–95. http://dx.doi.org/10.1136/jnnp-2019-321758.
Resumen
ObjectiveDeep brain stimulation (DBS) reduces depressive symptoms in approximately 40%–60% of patients with treatment-resistant depression (TRD), but data on long-term efficacy and safety are scarce. Our objective was to assess the efficacy and safety of DBS targeted at the ventral anterior limb of the internal capsule (vALIC) in 25 patients with TRD during a 1-year, open-label, maintenance period, which followed a 1-year optimisation period.MethodsDepression severity was measured using the 17-item Hamilton Depression Rating Scale (HAM-D-17), Montgomery-Asberg Depression Rating Scale (MADRS) and self-reported Inventory of Depressive Symptomatology (IDS-SR). Primary outcomes were response rate (≥50% HAM-D-17 score reduction) after the maintenance phase, approximately 2 years after DBS surgery, and changes in depression scores and occurrence of adverse events during the maintenance phase.ResultsOf 25 operated patients, 21 entered and 18 completed the maintenance phase. After the maintenance phase, eight patients were classified as responder (observed response rate: 44.4%; intention-to-treat: 32.0%). During the maintenance phase, HAM-D-17 and MADRS scores did not change, but the mean IDS-SR score decreased from 38.8 (95% CI 31.2 to 46.5) to 35.0 (95% CI 26.1 to 43.8) (p=0.008). Non-responders after optimisation did not improve during the maintenance phase. Four non-DBS-related serious adverse events occurred, including one suicide attempt.ConclusionsvALIC DBS for TRD showed continued efficacy 2 years after surgery, with symptoms remaining stable after optimisation as rated by clinicians and with patient ratings improving. This supports DBS as a viable treatment option for patients with TRD.Trial registration numberNTR2118.
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Yacim, Joseph Awoamim y Douw Gert Brand Boshoff. "Combining BP with PSO algorithms in weights optimisation and ANNs training for mass appraisal of properties". International Journal of Housing Markets and Analysis 11, n.º 2 (3 de abril de 2018): 290–314. http://dx.doi.org/10.1108/ijhma-02-2017-0021.
Resumen
Purpose The paper aims to investigate the application of particle swarm optimisation and back propagation in weights optimisation and training of artificial neural networks within the mass appraisal industry and to compare the performance with standalone back propagation, genetic algorithm with back propagation and regression models. Design/methodology/approach The study utilised linear regression modelling before the semi-log and log-log models with a sample of 3,242 single-family dwellings. This was followed by the hybrid systems in the selection of optimal attribute weights and training of the artificial neural networks. Also, the standalone back propagation algorithm was used for the network training, and finally, the performance of each model was evaluated using accuracy test statistics. Findings The study found that combining particle swarm optimisation with back propagation in global and local search for attribute weights enhances the predictive accuracy of artificial neural networks. This also enhances transparency of the process, because it shows relative importance of attributes. Research limitations/implications A robust assessment of the models’ predictive accuracy was inhibited by fewer accuracy test statistics found in the software. The research demonstrates the efficacy of combining two models in the assessment of property values. Originality/value This work demonstrated the practicability of combining particle swarm optimisation with back propagation algorithms in finding optimal weights and training of the artificial neural networks within the mass appraisal environment.
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Chong, Emily Hau Yan, Viknesh Andiappan, Lik Yin Ng, Parimala Shivaprasad y Denny K. S. Ng. "Synthesis of Integrated Flower Waste Biorefinery: Multi-Objective Optimisation with Economic and Environmental Consideration". Processes 10, n.º 11 (1 de noviembre de 2022): 2240. http://dx.doi.org/10.3390/pr10112240.
Resumen
The improper disposal of flower waste from cultural activities is one of the main challenges in certain countries such as India. If the flower waste is not managed properly, it causes a number of environmental issues. Therefore, various technologies have been developed to transform flower waste into value-added products. To integrate multiple technologies holistically to maximise the energy and material recovery, an integrated flower-waste biorefinery is required. Since there are a wide range of technologies available that can convert the waste into multiple products, there is a need to develop a systematic approach to evaluate all the technologies. This research proposes a systematic approach to synthesise an integrated flower-waste biorefinery based on different optimisation objectives, e.g., maximum economic performance and minimum environmental impact. Due to the conflicting nature between the two objectives, a fuzzy optimisation approach has been adapted to synthesise a sustainable integrated flower-waste biorefinery that satisfies both objectives at once. The efficacy of the proposed approach is demonstrated through a case study in India based on the optimised results with fuzzy optimisation—a synthesised flower-waste integrated biorefinery with economy performance of $400,932 and carbon emission of 46,209 kg CO2/h.
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Dai, Q., W. Cai, L. Hao, W. Shi y Z. Wang. "Spectral optimisation and a novel lighting-design space based on circadian stimulus". Lighting Research & Technology 50, n.º 8 (20 de octubre de 2017): 1198–211. http://dx.doi.org/10.1177/1477153517733504.
Resumen
With the recent advances in photobiology research and light-emitting diode technology, lighting considering circadian effects and the potential health benefits attract much attention. In this study, we demonstrate that the common practice of spectral optimisation of light for high visual efficacy can potentially lead to very inefficient delivery of circadian stimulus, which contributes to the lack of circadian entrainment that is likely to happen in indoor environments with only electric lighting. To optimise spectra of white light-emitting diodes for circadian efficacy, a four-component colour-mixing method with explicit analytical solutions is introduced. Energy-saving up to 29% is achieved at a target circadian stimulus of 0.35, by switching from the traditional maximum-visual-efficacy strategy to a maximum-circadian-efficacy strategy. Moreover, we propose a framework of a novel lighting-design space which allows practitioners to explore the possible combinations of circadian stimulus, visual illuminance and colour temperature. Solutions are provided for scenarios where activation of the circadian system should be avoided while a reasonable visual brightness appearance is maintained.
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Chen, Xin. "Time Window Oriented IoT Vehicle Pathway Study for the Dynamically Changing Needs of E-Commerce Customers". Scalable Computing: Practice and Experience 24, n.º 3 (10 de septiembre de 2023): 241–55. http://dx.doi.org/10.12694/scpe.v24i3.2372.
Resumen
The main dynamic truck routing problem also presents a significant difficulty in the logistics sector, which is an unavoidable development trend of the contemporary technological changing society. A dynamic vehicle routing problem with time window model is suggested by the study in order to establish an effective and low-energy dynamic response method. The fundamental concept is to disrupt the conventional strategy of static dynamic consumers responding in time slots by dividing the dynamic time window into a static time window with several time slice intervals. The study makes use of cutting-edge ideas including dynamic attitude, before-and-after time slicing, and continuous optimisation while proposing a new method for model solution to optimise dynamic vehicle route issues effectively and affordably. The study employs the Solomon optimisation dataset and runs simulation studies on the Java platform to confirm its efficacy. The experimental findings demonstrated that the optimisation technique employed in the study reduced the cost of travelling by 83.8 miles while also considerably increasing the average vehicle utilisation by 3.6%. Because driving distance cost and vehicle number cost are typically positively connected with dynamic attitude, the study employs solutions that can increase dynamic response efficiency and save money. As a result, their robustness is higher.
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Srinivasan, K., V. Balamurugan y S. Jayanti. "Shape Optimisation of Curved Interconnecting Ducts". Defence Science Journal 65, n.º 4 (20 de julio de 2015): 300. http://dx.doi.org/10.14429/dsj.65.8353.
Resumen
<p class="AbstractText">Practical ducting layout in process plants needs to satisfy a number of on-site constraints. The search for an optimal flow path around the obstructions is a multi-parameter problem and is computationally prohibitively expensive. In this study, authors proposed a rapid and efficient methodology for the optimal linkage of arbitrarily oriented fluid flow ducts using a single-parameter quadratic/cubic Bézier curves in two/three dimensions to describe the centreline of the curved duct. A smooth interconnecting duct can then be generated by extruding the duct face along the curve. By varying the parameter either along the angular bisector or along the axes of the ducts, a family of Bézier curves is generated. Computational fluid dynamics simulations show that the relationship between pressure drop and the adjustable parameter is a unimodal curve and the optimal connecting duct is the one which has the least pressure drop while satisfying on-site constraints can be used for linking the ducts. The efficacy of the method is demonstrated by applying it to some cases of practical interest.</p><p class="AbstractText"><strong>Defence Science Journal, Vol. 65, No. 4, July 2015, pp. 300-306, DOI: http://dx.doi.org/10.14429/dsj.65.8353</strong></p><p class="AbstractText"> </p>
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Desai, Jigar, Bhaumin Patel, Archana Gite, Nandini Panchal, Sanjay Gite, Anil Argade, Jeevan Kumar et al. "Optimisation of momelotinib with improved potency and efficacy as pan-JAK inhibitor". Bioorganic & Medicinal Chemistry Letters 66 (junio de 2022): 128728. http://dx.doi.org/10.1016/j.bmcl.2022.128728.
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Granda, T. G., R.-M. D'Attino, E. Filipski, P. Vrignaud, C. Garufi, E. Terzoli, M.-C. Bissery y F. Lévi. "Circadian optimisation of irinotecan and oxaliplatin efficacy in mice with Glasgow osteosarcoma". British Journal of Cancer 86, n.º 6 (marzo de 2002): 999–1005. http://dx.doi.org/10.1038/sj.bjc.6600168.
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Ivaković, Čedomir, Ratko Stanković y Mario Šafran. "Optimisation of Distribution Network Applying Logistic Outsourcing". PROMET - Traffic&Transportation 22, n.º 2 (27 de enero de 2012): 87–94. http://dx.doi.org/10.7307/ptt.v22i2.167.
Resumen
The problem of forming the distribution network results from the need to harmonize the characteristics of efficiency and efficacy of the supply chain with the corporate competition strategy. In this sense the possibility of optimising the distribution network has been presented (on a mathematical model) by applying the logistic outsourcing. The optimisation has been carried out using MS Excel software tools Solver. The results of the analysis have shown that possibilities for the reduction of distribution costs need to be searched for primarily in the domain of transport, in the target segment of the distribution network. The improvement elements have been achieved by outsourcing part of the supply chain, i.e. by introducing the cross-docking system which is managed by the external supplier of the logistic services. Quantitative changes, apart from the redistribution of the traffic of logistic and distribution centres and the reduction of logistic costs, have been reflected also in the geographical arrangement of distribution. The logistic outsourcing had dominant impact on the formation of the distribution network. KEY WORDS: distribution network, optimisation, logistic outsourcing
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Yao, J., T. Liu y Z. Min. "P684 Extra intravenous reinduction of ustekinumab on an already shortening interval is an effective optimisation strategy for patients with refractory Crohn’s disease". Journal of Crohn's and Colitis 17, Supplement_1 (30 de enero de 2023): i815. http://dx.doi.org/10.1093/ecco-jcc/jjac190.0814.
Resumen
Abstract Background Designing treatment optimisation strategy for ustekinumab (UST) is challenging. We aimed to evaluate the efficacy and safety of extra weight-based intravenous reinduction of UST on an already shortening interval in patients with refractory Crohn’s disease (CD). To the best of our knowledge, this is the first study to report optimised UST treatment in a Chinese population. Methods This was a single-center retrospective observational study. Dosing optimisation strategies were designed for CD patients showing partial or loss of response to standardised UST with a shortened interval of every-8-week (q8w) dosing, or an extra weight-based intravenous reinduction followed by q8w subcutaneous administration. Clinical, biochemical, and endoscopic findings and trough concentrations of UST were analyzed. Results Dose optimisation strategies were developed for 27 out of 64 patients; 13 patients required a shortened q8w interval and 14 patients required intravenous reinduction. Crohn’s disease activity index [96.5 (39.8,156.3) vs. 158.0 (101.5,175.3), P=0.009] and C-reactive protein [3.3 (1.1,7.0) vs. 4.8 (0.5,15.1), P=0.023] levels decreased significantly after intravenous reinduction, while the trough concentration of UST increased [1.8 (1.2,8.6) vs. 1.1 (0.2, 6.4), P=0.009]. Clinical and endoscopic remission was achieved in 57.1% (8/14) and 33.3% (2/3) of patients, respectively, while 53.8% (7/13) and 25.0% (2/8) of patients achieved clinical and endoscopic remission at around week 8 in the q8w cohort, respectively. The incidence of patient-reported adverse effects was 3.7%. (Figure 1) Conclusion Intravenous reinduction improved clinical and endoscopic remission safely and effectively in patients showing poor response to standardised UST treatment, which should be an optimal rescue optimisation strategy before switching to biologics targeting other pathways.
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AMAN, Serge Stephane, Behou Gerard N'GUESSAN, Djama Djoman Alfred AGBO y Tiemoman KONE. "Search engine optimization: methods and techniques". F1000Research 12 (12 de octubre de 2023): 1317. http://dx.doi.org/10.12688/f1000research.140393.1.
Resumen
Background: With the rapid advancement of information technology, search engine optimisation (SEO) has become crucial for enhancing the visibility and relevance of online content. In this context, the use of cloud platforms like Microsoft Azure is being explored to bolster SEO capabilities. Methods: This scientific article offers an in-depth study of search engine optimisation. It explores the different methods and techniques used to improve the performance and efficiency of a search engine, focusing on key aspects such as result relevance, search speed and user experience. The article also presents case studies and concrete examples to illustrate the practical application of optimisation techniques. Results: The results demonstrate the importance of optimisation in delivering high quality search results and meeting the increasing demands of users. Conclusions: The article addresses the enhancement of search engines through the Microsoft Azure infrastructure and its associated components. It highlights methods such as indexing, semantic analysis, parallel searches, and caching to strengthen the relevance of results, speed up searches, and optimise the user experience. Following the application of these methods, a marked improvement was observed in these areas, thereby showcasing the capability of Microsoft Azure in enhancing search engines. The study sheds light on the implementation and analysis of these Azure-focused techniques, introduces a methodology for assessing their efficacy, and details the specific benefits of each method. Looking forward, the article suggests integrating artificial intelligence to elevate the relevance of results, venturing into other cloud infrastructures to boost performance, and evaluating these methods in specific scenarios, such as multimedia information search. In summary, with Microsoft Azure, the enhancement of search engines appears promising, with increased relevance and a heightened user experience in a rapidly evolving sector.
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AMAN, Serge Stephane, Behou Gerard N'GUESSAN, Djama Djoman Alfred AGBO y Tiemoman KONE. "Search engine Performance optimization: methods and techniques". F1000Research 12 (16 de enero de 2024): 1317. http://dx.doi.org/10.12688/f1000research.140393.2.
Resumen
Background With the rapid advancement of information technology, search engine optimisation (SEO) has become crucial for enhancing the visibility and relevance of online content. In this context, the use of cloud platforms like Microsoft Azure is being explored to bolster SEO capabilities. Methods This scientific article offers an in-depth study of search engine optimisation. It explores the different methods and techniques used to improve the performance and efficiency of a search engine, focusing on key aspects such as result relevance, search speed and user experience. The article also presents case studies and concrete examples to illustrate the practical application of optimisation techniques. Results The results demonstrate the importance of optimisation in delivering high quality search results and meeting the increasing demands of users. Conclusions The article addresses the enhancement of search engines through the Microsoft Azure infrastructure and its associated components. It highlights methods such as indexing, semantic analysis, parallel searches, and caching to strengthen the relevance of results, speed up searches, and optimise the user experience. Following the application of these methods, a marked improvement was observed in these areas, thereby showcasing the capability of Microsoft Azure in enhancing search engines. The study sheds light on the implementation and analysis of these Azure-focused techniques, introduces a methodology for assessing their efficacy, and details the specific benefits of each method. Looking forward, the article suggests integrating artificial intelligence to elevate the relevance of results, venturing into other cloud infrastructures to boost performance, and evaluating these methods in specific scenarios, such as multimedia information search. In summary, with Microsoft Azure, the enhancement of search engines appears promising, with increased relevance and a heightened user experience in a rapidly evolving sector.
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AMAN, Serge Stephane, Behou Gerard N'GUESSAN, Djama Djoman Alfred AGBO y Tiemoman KONE. "Search engine Performance optimization: methods and techniques". F1000Research 12 (21 de mayo de 2024): 1317. http://dx.doi.org/10.12688/f1000research.140393.3.
Resumen
Background With the rapid advancement of information technology, search engine optimisation (SEO) has become crucial for enhancing the visibility and relevance of online content. In this context, the use of cloud platforms like Microsoft Azure is being explored to bolster SEO capabilities. Methods This scientific article offers an in-depth study of search engine optimisation. It explores the different methods and techniques used to improve the performance and efficiency of a search engine, focusing on key aspects such as result relevance, search speed and user experience. The article also presents case studies and concrete examples to illustrate the practical application of optimisation techniques. Results The results demonstrate the importance of optimisation in delivering high quality search results and meeting the increasing demands of users. Conclusions The article addresses the enhancement of search engines through the Microsoft Azure infrastructure and its associated components. It highlights methods such as indexing, semantic analysis, parallel searches, and caching to strengthen the relevance of results, speed up searches, and optimise the user experience. Following the application of these methods, a marked improvement was observed in these areas, thereby showcasing the capability of Microsoft Azure in enhancing search engines. The study sheds light on the implementation and analysis of these Azure-focused techniques, introduces a methodology for assessing their efficacy, and details the specific benefits of each method. Looking forward, the article suggests integrating artificial intelligence to elevate the relevance of results, venturing into other cloud infrastructures to boost performance, and evaluating these methods in specific scenarios, such as multimedia information search. In summary, with Microsoft Azure, the enhancement of search engines appears promising, with increased relevance and a heightened user experience in a rapidly evolving sector.
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Liu, Wen Jun, Kong-Nan Zhao, Feng Guang Gao, Graham R. Leggatt, Germain J. P. Fernando y Ian H. Frazer. "Polynucleotide viral vaccines: codon optimisation and ubiquitin conjugation enhances prophylactic and therapeutic efficacy". Vaccine 20, n.º 5-6 (diciembre de 2001): 862–69. http://dx.doi.org/10.1016/s0264-410x(01)00406-6.
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Alpsan, Dogan, Michael Towsey, Ozcan Ozdamar, Ah Chung Tsoi y Dhanjoo N. Ghista. "Efficacy of modified backpropagation and optimisation methods on a real-world medical problem". Neural Networks 8, n.º 6 (enero de 1995): 945–62. http://dx.doi.org/10.1016/0893-6080(95)00034-w.
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Asad, Syed Muhammad, Jawad Ahmad, Sajjad Hussain, Ahmed Zoha, Qammer Hussain Abbasi y Muhammad Ali Imran. "Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning". Sensors 20, n.º 9 (5 de mayo de 2020): 2629. http://dx.doi.org/10.3390/s20092629.
Resumen
Information and Communication Technology (ICT) enabled optimisation of train’s passenger traffic flows is a key consideration of transportation under Smart City planning (SCP). Traditional mobility prediction based optimisation and encryption approaches are reactive in nature; however, Artificial Intelligence (AI) driven proactive solutions are required for near real-time optimisation. Leveraging the historical passenger data recorded via Radio Frequency Identification (RFID) sensors installed at the train stations, mobility prediction models can be developed to support and improve the railway operational performance vis-a-vis 5G and beyond. In this paper we have analysed the passenger traffic flows based on an Access, Egress and Interchange (AEI) framework to support train infrastructure against congestion, accidents, overloading carriages and maintenance. This paper predominantly focuses on developing passenger flow predictions using Machine Learning (ML) along with a novel encryption model that is capable of handling the heavy passenger traffic flow in real-time. We have compared and reported the performance of various ML driven flow prediction models using real-world passenger flow data obtained from London Underground and Overground (LUO). Extensive spatio-temporal simulations leveraging realistic mobility prediction models show that an AEI framework can achieve 91.17% prediction accuracy along with secure and light-weight encryption capabilities. Security parameters such as correlation coefficient (<0.01), entropy (>7.70), number of pixel change rate (>99%), unified average change intensity (>33), contrast (>10), homogeneity (<0.3) and energy (<0.01) prove the efficacy of the proposed encryption scheme.
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Mohan, Vidhu y Daisy Chauhan. "Organizational Role Stress as Related to Efficacy Amongst Managers of Government, Public and Private Sectors". Vision: The Journal of Business Perspective 1, n.º 2 (julio de 1997): 71–77. http://dx.doi.org/10.1177/09722629x97001002008.
Resumen
Optimisation of stress in accordance with one’s personality and environment can lead to best performance. But if stress becomes distress it can cause major handicap in one’s level of performance and productivity. The present study was conducted on middle level managers from Government, Public and Private sectors. They were administered Udai Pareek’s Organizational Role Stress (ORS) and Role Efficacy Scale. The results show that there was no significant difference in these three sectors on Role Efficacy - all the ten dimensions. But as far as stress was concerned, the public sector managers experienced significantly higher stress on Role Erosion and Self-Role Conflict followed by Government and least in the private sector. As far as the correlations were concerned, all the ten sub-scales of ORS were significantly negatively related to the overall index of Role Efficacy and most of its sub-scales.
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Cassinotti, A., N. Mezzina, D. Di Paolo, M. V. Lenti, C. Bezzio, D. Stradella, M. Mauri et al. "P486 Assessing the efficacy of biologics in ucerative colitis: a real-life, observational retrospective multicentre study with propensity score analysis (AURORA): Focus on patients naive to biologics". Journal of Crohn's and Colitis 14, Supplement_1 (enero de 2020): S427—S428. http://dx.doi.org/10.1093/ecco-jcc/jjz203.615.
Resumen
Abstract Background Recently, comparative trials among biologics in ulcerative colitis (UC) provided conflicting results on their reciprocal superiority or equivalence. Therefore, in patients naive to biologics, the first-choice biological drug is uncertain. Methods In a retrospective, real-life, multicentre inception cohort study involving 11 Italian IBD tertiary centres, all consecutive patients, naive to biologics, treated with adalimumab (ADA), infliximab biosimilar (CTP-13), golimumab (GOL) or vedolizumab (VDZ) after their postmarketing approval (2014–2018) for moderate–severe active UC, were followed up for 1 year or until relapse. All drugs were compared with each other and to naive patients treated with IFX-originator (IFX-O, Remicade) in 2013–2014 as a reference group. A propensity score analysis was performed. The primary endpoint was the 1 year relapse-free, optimisation-free, steroid-free remission, defined as Mayo score ≤2, with bleeding subscore = 0, no relapse after first clinical remission and no optimisation with dose intensification or steroids courses. Multiple further secondary endpoints were analysed (Table 1). Results Two hundred ninety-six naive patients (ADA = 56, CTP-13 = 73, GOL = 60, VDZ = 34, IFX-O = 73) were included. The primary end-point was achieved in similar percentages in all groups, irrespective of optimisation. IFX-O and ADA had similar rates of clinical remission achieved once during the follow-up but higher rates than GOL and VDZ. The 1-year relapse rate, however, was lower with VDZ than ADA, GOL and IFX-O. Treatment failure for primary/secondary no response was higher with GOL than IFX-O and ADA. Treatment failures for intolerance were similar among all drugs. CTP-13 performed differently than the originator for some secondary end-points. Conclusion Based on a strict definition of clinical remission, all biologics appear equally effective at 1 year in patients naive to these drugs. IFX originator and ADA appear more effective in the induction phase, while patients responders to VDZ had more prolonged clinical remission. Some differences on secondary questionable outcomes between IFX biosimilar and originator have been observed.
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Belkeziz, K. y A. Metrane. "Optimisation d’une fonction linéaire sur l’ensemble des solutions efficaces d’un problème multicritère quadratique convexe". Annales mathématiques Blaise Pascal 11, n.º 1 (2004): 19–33. http://dx.doi.org/10.5802/ambp.182.
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Sánchez-Herrera, Susana, Eloísa Guerrero-Barona, Diana Sosa-Baltasar, Juan Manuel Moreno-Manso y Miguel Ángel Durán-Vinagre. "Efficacy of a Psycho-Educational and Socio-Emotional Intervention Programme for Adolescents". International Journal of Environmental Research and Public Health 19, n.º 13 (2 de julio de 2022): 8153. http://dx.doi.org/10.3390/ijerph19138153.
Resumen
The aim of this article is to evaluate the effectiveness of the implementation of a psycho-educational intervention programme. The objective of this programme was to achieve optimisation of self-concept and basic socio-emotional skills for comprehensive development in the adolescent stage. The sample consisted of 402 students from 19 groups from public secondary schools in the province of Badajoz. A quasi-experimental pretest-posttest design was applied with a control group using the Trait Meta-Mood Scale, Self-Concept Form 5, and the State-Trait Anxiety Inventory. The analysis showed that the programme was effective in the family and social dimensions of self-concept, while in the other dimensions, the changes were not statistically significant. The results for emotion perception, understanding and regulation show that there were no statistically significant differences in the experimental group, although there were significant differences in the control group.
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Huang, Chao-Hui, Chun-Ho Wang y Guan-Liang Chen. "Multiobjective Multistate System Preventive Maintenance Model with Human Reliability". International Journal of Aerospace Engineering 2021 (14 de julio de 2021): 1–16. http://dx.doi.org/10.1155/2021/6623810.
Resumen
Modern equipment is designed to operate under deteriorating performance conditions resulting from internal ageing and/or external environmental impacts influencing downstream maintenance. This study focuses on the development of a multistate system (MSS) that considers a human reliability factor associated with maintenance personnel—a condition-based multiobjective MSS preventive maintenance model (MSSPMM). The study assumes that no more than one maintenance activity is performed to achieve the most appropriate preventive maintenance (PM) strategy and easy implementation and to reduce maintenance error due to human reliability. The MSS performance based on mean system unavailability and total maintenance cost is evaluated using a stochastic model approach, and then, the MSSPMM is used for optimisation. A customised version of the nondominated sorting genetic algorithm III is employed to ensure efficient solution of the PM model with human reliability—which is considered a constrained multiobjective combinatorial optimisation problem. The optimised solutions are determined from the nondominated Pareto frontier comprising the diversified PM alternatives. A helicopter power transmission system is used as an example to illustrate the efficacy and applicability of the proposed approach through sensitivity analyses with relevant parameters.
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Podgórska, Katarzyna y Tomasz Stadejek. "Optimisation of reverse transcription can improve the sensitivity of RT-PCR for detection of classical swine fever virus". Acta Veterinaria Hungarica 58, n.º 2 (1 de junio de 2010): 257–64. http://dx.doi.org/10.1556/avet.58.2010.2.11.
Resumen
Classical swine fever is a highly contagious, notifiable disease of pigs and wild boars listed by the World Organisation for Animal Health (OIE). Therefore, methods employed in the diagnosis of CSF should be fast, sensitive and specific. The aim of this study was optimisation of the reverse transcription reaction to increase the sensitivity of real-time RT-PCR for the detection of classical swine fever virus, the aetiological agent of the disease. The efficiency of reverse transcription reaction was compared including a range of reverse transcriptases, thermal conditions and priming methods based on results obtained in the following realtime PCR. Depending on catalysis and the priming method used in the study a significant diversity of results was observed. The best efficacy of reverse transcription was obtained using SuperScript II reverse transcriptase and priming with random nonamers and reverse, gene-specific primer. This combination improved the sensitivity of RT-PCR nearly 1000 times as compared to the method with AMV reverse transcriptase coupled with random hexamers. In summary, this study has demonstrated that the optimisation of reverse transcription can contribute to a higher sensitivity of RT-PCR diagnostic methods.
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Hijaz Paul, Ward Ul, Anwar Shahzad Siddiqui y Sheeraz Kirmani. "Intelligent Load Management System Development with Renewable Energy for Demand Side Management". International Journal of Advanced Engineering and Management Research 08, n.º 02 (2023): 140–53. http://dx.doi.org/10.51505/ijaemr.2023.8213.
Resumen
Electric smart grid reliability and stability could be increased by the application of demand response initiatives and renewable energy resources. This study provides a brand new demand side management paradigm for smart grids with renewable energy integration that is based on intelligent optimisation. The suggested system combines real-time demand response programmes from electric utility companies and makes use of fuzzy logic to forecast consumer energy consumption patterns. Using demand response programmes, a smart energy management controller adjusts consumer energy usage forecasts to produce an operation schedule. Using simulations employing real-world data, we assess the efficacy of the suggested intelligent demand side management framework. According to the findings, compared to the load management-free method, total electricity costs and carbon emissions have significantly decreased. A potential strategy for demand side management with the integration of renewable energy, the proposed intelligent hybrid optimisation method of load management achieves superior performance in regulating energy consumption, peak loads, and carbon emissions. By presenting a useful and effective paradigm for demand-side management with renewable energy integration, this research makes a contribution to the field of energy management.
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Huang, Yu, Boram Gu, Cong Liu, Justin Stebbing, Wladyslaw Gedroyc, Maya Thanou y Xiao Yun Xu. "Thermosensitive Liposome-Mediated Drug Delivery in Chemotherapy: Mathematical Modelling for Spatio–temporal Drug Distribution and Model-Based Optimisation". Pharmaceutics 11, n.º 12 (29 de noviembre de 2019): 637. http://dx.doi.org/10.3390/pharmaceutics11120637.
Resumen
Thermosensitive liposome-mediated drug delivery has shown promising results in terms of improved therapeutic efficacy and reduced side effects compared to conventional chemotherapeutics. In order to facilitate our understanding of the transport mechanisms and their complex interplays in the drug delivery process, computational models have been developed to simulate the multiple steps involved in liposomal drug delivery to solid tumours. In this study we employ a multicompartmental model for drug-loaded thermosensitive liposomes, with an aim to identify the key transport parameters in determining therapeutic dosing and outcomes. The computational model allows us to not only examine the temporal and spatial variations of drug concentrations in the different compartments by utilising the tumour cord concept, but also assess the therapeutic efficacy and toxicity. In addition, the influences of key factors on systemic plasma concentration and intracellular concentration of the active drug are investigated; these include different chemotherapy drugs, release rate constants and heating duration. Our results show complex relationships between these factors and the predicted therapeutic outcome, making it difficult to identify the “best” parameter set. To overcome this challenge, a model-based optimisation method is proposed in an attempt to find a set of release rate constants and heating duration that can maximise intracellular drug concentration while minimising systemic drug concentration. Optimisation results reveal that under the operating conditions and ranges examined, the best outcome would be achieved with a low drug release rate at physiological temperature, combined with a moderate to high release rate at mild hyperthermia and 1 h heating after injection.
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Fairclough, Helen, Matthew Gilbert, Clement Thirion, Andy Tyas y Pete Winslow. "Optimisation-driven conceptual design: case study of a large transfer truss". Structural Engineer 97, n.º 10 (2 de octubre de 2019): 20–26. http://dx.doi.org/10.56330/fisv7260.
Resumen
This article describes the use of structural optimisation at the conceptual design stage to identify materially efficient solutions that incorporate buildability considerations. In the proposed approach, a minimum-weight solution is first identified, providing a benchmark against which other designs can be judged. However, as this solution will often be complex in form (and effectively impossible to construct in practice), additional constraints are then gradually introduced to rationalise it, and to explore the regions of the solution space which separate it from simpler, more familiar solutions. This enables the designer to balance material efficiency and complexity in a more informed manner. The efficacy of the approach is demonstrated via application to a case study of a transfer truss design.
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Putranto, Petrus Apri, Adian Khoironi y Rifqi Ahmad Baihaqi. "Optimisation of Chitosan as A Natural Flocculant for Microplastic Remediation". Journal of Emerging Science and Engineering 1, n.º 2 (25 de diciembre de 2023): 44–50. http://dx.doi.org/10.61435/jese.2023.7.
Resumen
The objective of this study is to determine the optimal concentration of chitosan for microplastic remediation using the coagulation-flocculation method. The chitosan concentrations employed in this study include 10, 20, 30, and 40 ppm. The process of coagulation was conducted for one minute, with a rotational speed of 120 rpm. The process of flocculation was performed for 30 minutes with a rotational speed of 60 rpm. The findings of the study indicate that chitosan demonstrates a high efficacy in microplastic removal, resulting in a removal rate of 68.3%. Furthermore, the research findings indicate that the optimal concentration of chitosan for microplastic remediation was determined to be 30 ppm. The concentration of chitosan has a direct impact on the pH, TDS, COD, and BOD values. In general, an increase in chitosan concentration leads to a drop in pH and TDS values; conversely, an increase in chitosan concentration results in a rise in COD and BOD values.