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Decentralized from decision-making processes, women have been placed at the periphery. Their silencing has been fundamental and intentional on the part of patriarchal institutions, for the sake of keeping them behind the discursive scene. To this effect, this paper examines the rebirth of women from prior states whereby they used to be denied the right to sprout the wings towards language within a 'logocentric' society. A deep dive into Helen Cixous's "The Laugh of the Medusa" provides grassroots for allowing a woman to transform silence into articulation. The poetry of Anne Sexton is a case study to witness the drastic change from a crippling fear of speaking into an audacity of a number of speakers in "Lullaby", "Music Swims Back to Me" and "The Exorcists" to acquire language with which every female orator will be equipped to conquer the masculinist world without anxiety.

Introduction The high incidence of morbidity and mortality associated with the post-cardiac arrest (CA) period highlights the need for novel therapeutic interventions to improve the outcome of out-of-hospital cardiac arrest (OHCA) patients admitted to the intensive care unit (ICU). The aim of this study is to assess the ability of high-dose intravenous vitamin C (Vit-C) to improve post-CA shock.Methods and analysis This is a single-blind, open-label, multicentre, randomised controlled trial, involving 234 OHCA patients with post-CA shock planned to be enrolled in 10 French ICUs. Patients will be randomised to receive standard-of-care (SOC) or SOC with early high-dose intravenous Vit-C administration (200 mg/kg per day, within 6 hours after return of spontaneous circulation, for 3 days). The primary endpoint is the cumulative incidence of vasopressor withdrawal at 72 hours after enrolment, with death considered as a competing event. The main secondary endpoints are neurological outcome, mortality due to refractory shock, vasopressor-free days and organ failure monitored by the sequential organ failure assessment score.Ethics and dissemination The study protocol was approved by a French Ethics Committee (EC) on 21 February 2023 (Comité de Protection des Personnes Ile de France 1, Paris, France). Due to the short enrolment period to avoid any delay in treatment, the EC approved the study inclusion before informed consent was obtained. As soon as possible, patient and their relative will be asked for their deferred informed consent. The data from the study will be disseminated through conference presentations and peer-reviewed publications.Trial registration number NCT05817851.

During snowfall, the utility of the road infrastructure is critical. Roads must be effectively cleared to ensure access to important locations and services. In this paper, we present an end-to-end framework for snow removal vehicle routing based on road priority. We offer an artificial intelligence-based image-based approach for estimating snow depth and traffic volume on roads. For segments monitored by CCTV cameras, we exploit images and supervised learning models to perform this task. For unmonitored roads, we use the Graph Convolutional Network architecture to predict parameters in a semi-supervised manner. Following that, we assign priority weights to all graph edges as a function of image-based attributes and road categories. We test the method using a real-world example, simulating snow removal within a study area in Montreal, Quebec, Canada. As input for the framework, we collect CCTV image data and combine it with a 2D map. As a result, more efficient snow removal operation can be achieved by optimizing the trajectories of trucks based on the computer vision module outputs.

Purpose – Globalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – FDI, remittances and official development assistance – can be a key factor in the development of the economy. The subject of this article is to analyses the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been employed. As part of this work, an attempt was made to use a panel data approach. The results indicate ambiguous effects and confirm the results of previous work. Design/methodology/approach – The authors seek to study the effect of foreign direct investment, remittances and official development assistance (ODA) and some control variables i.e. domestic credit, life expectancy, gross fixed capital formation (GFCF), inflation and three institutional factors on economic growth in developing countries by adopting the panel data methodology. Then, the authors will discuss empirical tests to assess the econometric relevance of the model specification before presenting the analysis of the results and their interpretations that lead to economic policy implications. As part of this work, the authors have rolled panel data for developing countries at an annual frequency during the period from 1990 to 2016. In a first stage of empirical analysis, the authors will carry out a technical study of the heterogeneity test of the individual fixed effects of the countries. This kind of analysis makes it possible to identify the problems retained in the specific choice of econometric modeling to be undertaken in the specificities of the panel data. Findings – The empirical results validate the hypotheses put forward and indicate the evidence of an ambiguous effect of financial flows on economic growth. The empirical findings from this analysis suggest the use of economic-type solutions to resolve some of the shortcomings encountered in terms of unexpected effects. Governments in these countries should improve the business environment by establishing a framework that further encourages domestic and foreign investment. Originality/value – In this article, the authors adopt the panel data to study the links between financial flows and economic growth. The authors considered four groups of countries by income.

ABSTRACTIntroduction: New procedures and diagnostic tests in hematopoietic stem cell transplantation (HSCT) are associated with a significant increase in costs. The last cost estimate of allogeneic HSCT done in Tunisia was in 1996 and concerned only direct medical costs. Therefore, an updated cost analysis is needed.Objective: Analysis of direct costs during the first-year post-allogeneic HSCT in two groups of patients: Bone Marrow Transplant (Allo-BMT) and Peripheral Blood Stem Cell Transplant (Allo-PBSCT) and identification of factors leading to interindividual variations in costs in order to compare these costs with the budget allocated by the payer (CNAM).Methods: Pharmacoeconomic retrospective study, concerning patients who underwent allogeneic HSCT in 2013. Clinical and unit cost data were obtained from medical and administration records.Results:This study showed that the average direct cost of allogeneic HSCT in the population during the first year reached 56 638€. The average cost of Allo-BMT was 63 612€, and Allo-PBSCT was 45 966€ (p > 0.05). The initial hospitalization counted for 88% of total direct cost with an average cost of 41 441€ in Allo-BMT and 24 672€ in Allo-PBSCT (p

L’objectif de ce travail est de transformer le lait de chamelle élevée dans un système extensif en Kéfir. La pasteurisation (63°C pendant 30 min) du lait, l’incubation avec trois doses des grains de kéfir (2, 5 et 10%) et à différents temps d’incubations (18; 20 et 24 h) ont été évalués lors de la transformation. Les caractéristiques physico-chimiques des laits, grains du kéfir, kéfirs camelins et la composition chimique de l’alimentation des chamelles rencontrée sur parcours ont été mesurées. Les résultats ont montré que le lait camelin se caractérise par une valeur neutre du pH (6,9 ± 0,11) et une teneur en matière sèche importante (114 ± 0,11 g/l). Les grains des kéfirs ont un pH acide (3,9) et leur teneur en matières grasses est négligeable (0,02 g/kg). La composition chimique des espèces pastorales a montré que la teneur en NDF a été de 33,9 à 81,1% et la teneur en ADF a été de 22,5% à 61,7%. La dose des grains du kéfir (2,5 et 10 %) a eu un effet significatif sur le pH, l’acidité et la viscosité du kéfir obtenu pour les différents temps d’incubation (18, 20 et 24 h). Par conséquent, le lait camelin a une aptitude à la transformation au kéfir conforme aux normes législatives. Mots clés: Lait camelin, grains de kéfir, plantes pastorales et les caractéristiques chimiques

This study addresses the processing limitations of camel milk for production of textured camel milk cheese by utilising the green carob extract (GCE) as a novel coagulant. The response surface methodology was employed to assess the impact of GCE on the cheese quality parameters. Maximal soft camel cheese yield (24.1%) was achieved using 12% (v/v) of GCE, coagulation at 53.6°C, and incubation time of 9 h 52 min. Compositional analysis revealed the richness of soft camel cheese in dry matter (33.8 ± 81.61%), carbohydrates (3.66 ± 0.45%), and calcium (632.83 ± 68.43 mg/100 g). The addition of GCE enhanced the cheese's flavour and texture. [ABSTRACT FROM AUTHOR]

Volunteered Geographic Information (VGI) phenomena offer an alternative or supplement to the authoritative mechanism of geospatial data acquisition. It allows people without professional geospatial skills or knowledge to participate in the geospatial data collection. VGI has been boosted by recent advances in geospatial technology and applications. VGI applications have shown great potential in various areas such as disaster management and public health. However, VGI suffers from a lack of quality assurance, because VGI contributors may lack knowledge of the geospatial domain and credibility. Moreover, VGI data may have different levels of detail and precision, and may have been collected for different purposes. Appropriate VGI data for a specific application may be less appropriate for another application. End-users may use VGI data without being aware of its appropriateness to their requirements. This may cause a risk that arises when end-users inappropriately use, or be uncertain about using VGI data in their applications. This risk may undermine the VGI project in which end-users are involved. This paper proposes an approach that aims to enhance VGI quality assurance by measuring the spatio-semantic similarity between user requirements and provided VGI, and to evaluate the fitness-for-use of VGI. The proposed approach is based on an algorithm to help VGI end-users to deal with the risks related to the quality of VGI data. The approach helps end-user make appropriate decisions about VGI data (e.g., considering or not considering VGI data and being careful when using VGI data).

Destabilization of ultra-high temperature (UHT) milk (140 °C, 4s) in the form of gel or sediment may occur during storage. This phenomenon is a real industrial and scientific problem that could be caused by milk proteolysis and lipolysis. This study aimed to study the influence of storage conditions (time, temperature) on the quality of UHT milk produced under industrial conditions. The physicochemical characteristics of these different kinds of milk, including composition and stability as assessed by phosphate test, were determined. UHT heat treatment of milk resulted in a change in pH, acidity, and stability derived from phosphate test, as well as in a drop in psychrophilic bacteria counts. Proteolytic and lipolysis activities also decreased with UHT treatment. However, during UHT milk storage for 6 months, the milk proteolytic activity increased, and in consequence, an increase in acidity and non-casein nitrogen values was observed. Moreover, lipolytic activity was higher in milk stored at 30 °C, as compared to the milk kept at 4 °C. In addition, the stability values increased during UHT milk storage at 30 °C. Stability was inversely correlated with milk fat and acidity (p

Liver hydatid cyst fistulized in the abdominal wall is rare. The clinical symptoms were often misleading. It often poses a problem of seat diagnosis rather than a problem of its hydatid nature despite the great contribution of modern imagery. We reported this uncommon case to highlight the difficulties of preoperative diagnosis and a better operative approach. 46-year-old men consulted for right flank pain. The clinical exam revealed a right flank subcutaneous mass. An abdominal CT scan showed multicystic lesions on the right flank. The MRI showed multiple cystic lesions on the right flank with several endophytic and exophytic daughter cysts. The patient was operated on. A wide excision was adopted to remove all the cystic lesions. The postoperative follow-up was uneventful. Abdominal subcutaneous hydatid cysts cause a diagnostic problem and the treatment is controversial. Surgery remains the only curative treatment. It avoids the risk of complications such the fistula, infection, and rupture.

The latest advances in spatial information technology have led to the emergence of Volunteered Geographic Information (VGI) as enrichment to existing spatial data sources. Additionally, Decision Support Systems (DSS) are among the fields that have seen major advances. Volunteered Geographic Information (VGI) has great potential as a valuable data source to decision support systems. Several studies have been proposed to integrate VGI data into DSS. However, as VGI data may have different levels of quality, integrating VGI data with poor quality may affect the decision-making process. In fact, VGI data with poor quality. that are obsolete or incomplete, could, if integrated into a spatial DSS, lead to inappropriate analysis results. This paper presents an approach that aims to enhance spatial DSS analysis and exploitation by integrating high quality VGI data that are appropriate to the user requirements, and that have a good indicator completeness and time relevance. The approach introduces a conceptual framework that evaluates VGI data quality and integrates only high quality VGI data into spatial DSS. The proposed approach is experimented on a road maintenance project in Grand-Tunis. We develop the Map-Report prototype, and we evaluate the efficiency of our approach in enhancing data analysis and exploitation in spatial DSS by reducing the error rate and providing accurate and precise analysis results.