LA PLANIFICATION QUOTIDIENNE DANS UNE STRUCTURE D’HOSPITALISATION A DOMICILE AVEC PRISE EN CONSIDERATION DU FACTEUR HUMAIN

Colloque avec actes et comité de lecture. internationale.International audienceCompte tenu de la diversité des acteurs, de la multitude des critères à optimiser et de l’aspect humain dans l’hospitalisation à domicile, la planification des tournées du personnel soignant chez les patients est considérée comme étant une tâche très complexe. Notre objectif est d'élaborer une planification quotidienne des tournées du personnel de santé en assurant la satisfaction des patients et celle des ressources humaines tout en maitrisant les coûts. Tenir compte des préférences liées aux patients est essentiel pour une meilleure prise de décision. Dans cet article, nous proposons un programme linéaire mixte avec une analyse multicritère. Pour la résolution de ce modèle, nous utilisons le solveur ILOG CPLEX optimization Studio. Le programme est testé sur des instances aléatoires

Low fruitfulness in local almond orchards could be due to the inbreeding depression effect

Fruitfulness of 26 promising local almond genotypes in four Moroccan localities under two different agro-ecological systems, mountains and oasis ecosystem, was assessed by physiological means including pollen tube growth and fruit set after self- and cross-pollination and open-pollination. All studied genotypes are self-incompatible. The analysis of variance showed significant effects of the genotype, the year and the origin on fruit set in open-pollinated branches. Over two years, fruit set ranged from 5.3 % to 25.7 %,which is lower than the 30% threshold for a commercial crop in almond. The reciprocal cross-pollination test carried out in 6 genotypes from Agdez oasis locality showed that the genotypes Km-3 and Km-4 are cross-incompatible. Fruit set after cross-pollination among genotypes was low, with low to medium number of pollen tube at the style base after the reciprocal crosses, probably due to the inbreeding effect. In some crosses, the number of pollen tubes at the style base was high, whereas the fruit set was low. These results indicate that in traditional almond orchards, based on local cultivars propagated locally by seed, potential yield of the tree is limited by the effect of inbreeding depression. Keywords: Almond, Cross pollination, Fruit set, Self-incompatibility, Inbreeding depressio

Catastrophic Collision Between Obesity and COVID-19 Have Evoked the Computational Chemistry for Research in Silico Design of New CaMKKII Inhibitors Against Obesity by Using 3D-QSAR, Molecular Docking, and ADMET

The purpose of the paper is to discuss the various methods and computational approaches, which are used in computer-aided drug design. For this reason, pyrimidine and azaindole derivatives have been used to study the inhibitory activity of CaMKKII. It is an enzyme that enters the brain to greatly reduce food from regulating the production of Ghrelin that is synthesized by the stomach and acts on the hypothalamus. The obtained results from different techniques such as the 3D-QSAR, molecular docking, and ADMET were applied to study series of new CaMKKII inhibitors of 23 molecules based on pyrimidine and azaindole derivatives. The CoMFA and CoMSIA models were used in 19 molecules in the training set that give high values of determination coefficient R2 0.970 and 0.902 respectively, and significant values of Leave-One-Out cross-validation coefficient Q2 0.614 and 0.583 respectively. The predictive capacity of this model was examined by external validation though using a test set of four compounds with a predicted determination coefficient test R2ext of 0.778 and 0.972 successively. The method of alignment adapted with the appropriate parameters gave credible models. The CoMFA and CoMSIA models produce the contour maps which were used to define a 3D-QSAR mode. DOI: http://dx.doi.org/10.17807/orbital.v13i4.160

Home health care logistics planning: a review and framework

Home Health Care (HHC) is a growing industry in the medical services business, mainly in Europe and North America. These care services are provided at patients’ home by a multidisciplinary team using a distribution network. In this paper, an overview of the HHC services in Portugal and Brazil is presented. Additionally, a review is also presented to identify the main logistics problems associated with HHC services such as districting, routing and inventory management and the lack of integrated approaches to address them, as well as the best practices of management in the area. A framework is proposed to represent the main elements and characteristics of HHC services and their relationships. The framework suggests the use of a Decision Support System (DSS) based on optimization models and simulation approaches to overcome some of the main challenges associated to integrated approaches to address main problems, filling the gaps in the current literature. With the development of this DSS it will be possible to assist in the logistic planning of HHC teams, especially in countries like Brazil and Portugal.This work has been supported by CNPq (National Counsel of Technological and Scientific Development, Brazil) and COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.info:eu-repo/semantics/publishedVersio

Catastrophic Collision Between Obesity and COVID-19 Have Evoked the Computational Chemistry for Research in Silico Design of New CaMKKII Inhibitors Against Obesity by Using 3D-QSAR, Molecular Docking, and ADMET

The purpose of the paper is to discuss the various methods and computational approaches, which are used in computer-aided drug design. For this reason, pyrimidine and azaindole derivatives have been used to study the inhibitory activity of CaMKKII. It is an enzyme that enters the brain to greatly reduce food from regulating the production of Ghrelin that is synthesized by the stomach and acts on the hypothalamus. The obtained results from different techniques such as the 3D-QSAR, molecular docking, and ADMET were applied to study series of new CaMKKII inhibitors of 23 molecules based on pyrimidine and azaindole derivatives. The CoMFA and CoMSIA models were used in 19 molecules in the training set that give high values of determination coefficient R2 0.970 and 0.902 respectively, and significant values of Leave-One-Out cross-validation coefficient Q2 0.614 and 0.583 respectively. The predictive capacity of this model was examined by external validation though using a test set of four compounds with a predicted determination coefficient test R2ext of 0.778 and 0.972 successively. The method of alignment adapted with the appropriate parameters gave credible models. The CoMFA and CoMSIA models produce the contour maps which were used to define a 3D-QSAR mode. DOI: http://dx.doi.org/10.17807/orbital.v13i4.160

Exploring the Genetic Variability and Potential Correlations Between Nutritional Quality and Agro-Physiological Traits in Kabuli Chickpea Germplasm Collection (Cicer arietinum L.)

Chickpea is an important source of plant-based protein and mineral elements such as iron (Fe) and zinc (Zn). The development of superior high-yielding germplasm with high nutritional value becomes central for any breeding program. Chickpea biofortified and nutrient-dense seeds can contribute to mitigate many human health problems associated with protein and micronutrients deficiency. In this study, 282 advanced chickpea lines were grown under field conditions to evaluate their agronomic performances and nutritional quality value. The trial was conducted under winter planting conditions during the cropping season 2017/2018 at ICARDA-Marchouch research station, Morocco. Results revealed high genetic variation and significant differences between the tested genotypes for all studied parameters. Under field conditions, the grain yield (GY) varied from 0.57 to 1.81 (t.ha–1), and 100-seed weight (HSW) ranged from 23.1 to 50.9 g. Out of the 282 genotypes, only 4 genotypes (i.e., S130109, S130058, S130066, and S130157) combined both good agronomic performances (GY, HSW) and high nutritional quality (protein, macronutrients, and micronutrients). Protein content ranged from 18.9 to 32.4%. For the whole collection, Fe content varied from 31.2 to 81 ppm, while Zn content ranged from 32.1 to 86.1 ppm. Correlation analysis indicated that the studied traits were significantly intercorrelated, with negative correlation between protein content and Zn concentration. Positive correlations were observed between grain filling time (F2M) and the micronutrients Zn, Cu, and Mn and macroelements K and Mg. Low positive correlation was also recorded between Pr and Fe concentrations. No significant correlation was observed between Fe and Zn. Positive correlations observed between main agronomic and nutritional quality traits makes easy any simultaneous enhancement when combining these traits

Optimization of the home health care services

Le déséquilibre financier du système d’assurance maladie et la volonté de la rationalisation de l’offre des soins amènent les pouvoirs publics à vouloir réserver les séjours dans les hôpitaux, aux problèmes médicaux les plus graves et aux actes techniquement les plus complexes. Cela exige le développement structuré et sécurisé d’autres modes de prise en charge hors des murs de l’hôpital tel que les services d’Hospitalisation À Domicile (HAD). C’est dans ce cadre qu’intervient notre thèse. Nous nous intéressons tout particulièrement à l’optimisation de la planification des tournées du personnel soignant aux domiciles des patients. C’est l’une des problématiques majeures relatives à l’HAD, elle est de nature complexeet nécessite des outils performants d’aide à la décision. Nous proposons dans le cadre de cette thèse des solutions basées sur la programmation linéaire mixte et des (méta)heuristiques afin d’établir une planification quotidienne des soins à domicile. Etant donné la nature multi-objectif du problème étudié (minimisation du temps de déplacemententre les domiciles des patients, maximisation de la préférence des patients enversles soignants, l’équilibrage des tournées, etc.), nous abordons l’optimisation bi-objectif et choisissons d’optimiser simultanément les deux premiers objectifs. Nous développons une approche de résolution basée sur une méthode exacte "-constraint et une heuristique basée sur la méta-heuristique ILS (Iterated Local Search).The Home Healthcare Services (HHCS) are defined as medical and paramedical services delivered to patients at home. HHCS are growing in many industrialized countries, particularly in France. The aim of these services is to improve life conditions of patients and reduce the congestion of hospitals and the increased costs of healthcare systems. HHCS are subject to the same obligations as in conventional hospitals, they have to provide full and coordinated care to patients. There are many issues relative to HHCS considered in the literature, such as the resources dimensioning, the geographical partitioning of a territory into districts, etc. We focus particularly on the scheduling and routing problem, which is one of the major issues related to HHCS. The purpose is to find an effective working plan for each caregiver on adaily basis, in order to serve a set of geographically dispersed patients, considering economic and human issues.In Home healthcare scheduling and routing problem, it is generally desirable to optimize more than one objective at the same time. With more than one objective function, there is no single optimal solution that simultaneously optimizes all the objective functions, especially if the objectives are conflictive. Therefore, there is a need to use multi-objective optimizationmethods to provide the decision maker with alternative solutions called Pareto-optimal or efficient solutions which ensure the compromise among the objectives. To solve our problem, we implemented an exact method based on "-constraint. As the problem studied is NP-hard, the "-constraint method is time and memory consuming. Consequently, we designed a biobjective RVND-ILS algorithm based on Iterated Local Search metaheuristic (ILS) which uses a Random Variable Neighborhood Descent method as the local search phase (RVND)

Year and genotype effects on the fruit physico-chemical traits of sweet cherry cultivated under Southern Mediterranean climate in Morocco

The aim of the present work was the evaluation of genotype and year effects on some physico-chemical parameters of five sweet cherries grown in Middle Atlas of Morocco. The analysis of variance showed significant effects of the genotype, year and their interaction on all fruit physico-chemical traits focused. ‘Coeur de pigeon’ and ‘Burlat’ produced the heaviest fruit, whereas ‘Van’ and ‘Coeur de pigeon’ fruits were sweeter than others varieties Differences among the three years were highly significant (at p<0.001) for all parameters highlighting the annual influence on the fruit quality parameters. Year effect was significant on the physicochemical fruit traits confirming the climatic conditions effect on fruit quality. Fruits harvested in 2016 and 2017 showed the highest values in terms of physico-chemical traits studied

A multi-objective modelling to sustainable vehicle routing problem in home health care services: goal programming approach

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