Ultimate Test Research Articles

Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques

Brain cancer poses a significant global health challenge, with mortality rates showing a concerning surge over recent decades. The incidence of brain cancer-related mortality has risen from 140,000 to 250,000, accompanied by a doubling in new diagnoses from 175,000 to 350,000. In response, magnetic resonance imaging (MRI) has emerged as a pivotal diagnostic tool, facilitating early detection and treatment planning. However, the translation of deep learning approaches to brain cancer diagnosis faces a critical obstacle: the scarcity of public clinical datasets reflecting real-world complexities. This study aims to bridge this gap through a comprehensive exploration and augmentation of training data. Initially, a battery of pre-trained deep models undergoes evaluation on a main brain cancer MRI “BT-MRI” dataset, yielding remarkable performance metrics, including 100% accuracy, precision, recall, and F1-Score, substantiated by the Score-CAM methodology. This initial success underscores the potential of deep learning in brain cancer diagnosis. Subsequently, the model’s efficacy undergoes further scrutiny using a supplementary brain cancer MRI “BCD-MRI” dataset, affirming its robustness and applicability across diverse datasets. However, the ultimate litmus test lies in confronting the model with synthetic testing datasets crafted to emulate real-world scenarios. The synthetic testing datasets, a BCD-MRI testing sub-dataset enriched with noise, blur, and simulated patient motion, reveal a sobering reality: the model’s performance plummets, exposing inherent limitations in generalization. To address this issue, a diverse set of optimization strategies and augmentation techniques, ranging from diverse optimizers to sophisticated data augmentation methods, are exhaustively explored. Despite these efforts, the problem of generalization persists. The breakthrough emerges with the integration of noise and blur as augmentation techniques during the training process. Leveraging Gaussian noise and Gaussian blur kernels, the model undergoes a transformative evolution, exhibiting newfound robustness and resilience. Retesting the refined model against the challenging synthetic datasets reveals a remarkable transformation, with performance metrics witnessing a notable ascent. This achievement underscores the important role of correct selection of data augmentation in fortifying the generalization of deep learning models for brain cancer diagnosis. This study not only advances the frontiers of diagnostic precision in brain cancer but also underscores the paramount importance of methodological rigor and innovation in confronting the complexities of real-world clinical scenarios.

Applications of cell free protein synthesis in protein design.

In protein design, the ultimate test of success is that the designs function as desired. Here, we discuss the utility of cell free protein synthesis (CFPS) as a rapid, convenient and versatile method to screen for activity. We champion the use of CFPS in screening potential designs. Compared to in vivo protein screening, a wider range of different activities can be evaluated using CFPS, and the scale on which it can easily be used-screening tens to hundreds of designed proteins-is ideally suited to current needs. Protein design using physics-based strategies tended to have a relatively low success rate, compared with current machine-learning based methods. Screening steps (such as yeast display) were often used to identify proteins that displayed the desired activity from many designs that were highly ranked computationally. We also describe how CFPS is well-suited to identify the reasons designs fail, which may include problems with transcription, translation, and solubility, in addition to not achieving the desired structure and function.

Synthesis of plantain peel powder-based biofilm

The present study investigated the use of ripe plantain peel powder, crude glycerol, vinegar, egg shell powder and cassava starch as source raw materials for producing plantain peel-based biodegradable biofilm (P-BF). The synthesized biofilm was characterized by chemical test (FTIR, GC-MS, morphology test, water absorption property, biodegradation test, solubility test and swelling test) and mechanical test (ultimate tensile test, flexural, hardness test, % elongation and thermogravimetric analysis). Results showed successful production of P-BF. A non-plantain bioplastic (NP-BF) served as control. The FTIR analysis showed eight functional groups; ether, ethene, amine, carboxylic acid, nitriles, methylene, cyclic ester, primary, secondary and tertiary alcohols common to hydrocarbons. The biodegradation test showed the P-BF degraded at the same pace as NP-BF which degraded on the 6th day of the test. The mechanical test showed P-BF had higher thermal stability and water absorption property compared to the NP-BF. However, P-BF showed lower ultimate tensile test, flexural, hardness test, percentage elongation compared to the NP-BF. Morphology test showed that there was uneven distribution of constituents materials in P-BF compared to the NP-BF which affected its mechanical properties. In conclusion, the study successfully produced plantain peel-based biodegradable biofilm with good mechanical properties, biodegradability, thermal stability, fair water absorption property.

Vertical diaphragms for moment connection of thin-walled CFT column to steel beam

A vertical diaphragm scheme is proposed to connect the concrete-filled thin-walled steel tube (thin-walled CFT) column and steel beam, as an alternative to horizontal diaphragm connections: dual vertical diaphragms are installed inside the steel tube, considering poor out-of-plane resistance of the thin tube wall. For verification of the moment connection, two experimental programs were carried out. In the first experiment, an ultimate tension test was conducted for flange-to-column connections, to identify the fundamental behavior of the proposed connection (i.e., strength, failure mode, and out-of-plane deformation). The design parameters, such as the thickness, number, and continuity of the vertical diaphragms, were considered. All the test specimens exceeded the design strengths based on a yield line model (i.e., the tensile capacity-to-demand ratios ranged Tu/TYL = 1.11–1.31), without early fracture of welded joints. In particular, at the design strengths, the tube out-of-plane deformations were more limited with the heavier diaphragms. In the second experiment, beam-to-column connections using prototype I-section steel were tested under cyclic flexure, to verify the joint flexural strength and rigidity as well as the seismic performance. The beam-to-column connections failed by the beam flexural mechanism, whereas damage was marginal at the joint wall (i.e., the flexural capacity-to-demand ratios ranged Mu/Mj = 0.87–1.09). Overall, the dual diaphragms were effective in achieving rigid (full-strength) connections with satisfactory plastic rotation of the beam. On the basis of the test results, design considerations were recommended for the vertical diaphragm connections.

Failed primary repair of blunt duodenal injury managed by tube duodenostomy, gastrojejunostomy and a feeding jejunostomy: a case report

BackgroundThe worldwide increase in road traffic crashes and use of firearms has increased the incidence of duodenal injuries. Upper gastrointestinal radiological studies and computed tomography (CT) in resource settings may lead to the diagnosis of blunt duodenal injury. Exploratory laparotomy remains the ultimate diagnostic test if a high suspicion of duodenal injury continues in the face of absent or equivocal radiographic signs. Although the majority of duodenal injuries may be managed by simple repair, high-risk duodenal injuries are followed by a high incidence of suture line dehiscence and should be treated by duodenal diversion.Case presentationWe report a case of a failed primary repair of a blunt injury to the second part of the duodenum (D2) in a 24-year-old African man. This was successfully managed by a tube duodenostomy, a bypass gastrojejunostomy and a feeding jejunostomy in a low resource setting.ConclusionsDetailed knowledge of the available operative choices in duodenal injury and their correct application is important. When duodenal repair is needed, conservative repair techniques over complex reconstructions should be utilised. The technique of tube duodenostomy can be successfully applied to cases of large defects in the second part of the duodenum (D2), failed previous repair attempts and with defects caused by different aetiology. It may remain especially useful as a damage-control procedure in patients with multiple injuries, significant comorbidities and/or haemodynamic instability.

Chemical speciation of methylmercury and mercury(II) cations in fish by new fluorogenic naphthalimide alkynyl gold complexes: The ultimate test for detecting fish contamination

The proof of concept of a new portable protocol for the detection and speciation of methylmercury and mercury(II) cations in fish samples is described. In this way, traces of methylmercury and/or mercury(II) cations in fish were quantitatively detected using an elaborated protocol and including a fluorescent sensor. In-the-field accurate results were obtained due to the selective behavior of the chemical sensor in the presence of both cations, working at very low concentrations of mercury species in fish under standard laboratory conditions, that are suitable for daily use in ordinary sampling by border companies importing fish or remote laboratories where large devices cannot be carried. The reported fish protocol is useful under real-life conditions for analyzing fish for the presence of methylmercury in contrast to total mercury analysis. The combination of the protocol and the fluorescent reporter constitutes the ultimate test for fish contamination by mercury(II) species in the workplace. The reported limits of detection of 0.72 nM for Hg2+ and 1.62 nM for CH3Hg+ and the closely related values of the two mercury(II) species in fish samples, obtained by ICP-MS analysis and fluorescent measurements, make the method suitable for daily control of methylmercury in fish under the EU legislation parameters and the WHO recommendations.

Physical and mechanical response of large-diameter shield tunnel lining structure under non-uniform fire: A full-scale fire test-based study

When a fire occurs in an underground shield tunnel, it can result in substantial property damage and cause permanent harm to the tunnel lining structure. This is especially true for large-diameter shield tunnels that have numerous segments and joints, and are exposed to specific fire conditions in certain areas. This paper constructs a full-scale shield tunnel fire test platform and conducts a non-uniform fire test using the lining system of a three-ring large-diameter shield tunnel with an inner diameter of 10.5 m. Based on the tests, the temperature field distribution, high-temperature bursting, cracking phenomena, and deformation under fire conditions are observed. Furthermore, the post-fire damage forms of tunnel lining structures are obtained through the post-fire ultimate loading test, and the corresponding mechanism is explained. The test results illustrate that the radial and circumferential distribution of internal temperature within the tunnel lining, as well as the radial temperature gradient distribution on the inner surface of the lining, have non-uniform distribution characteristics. As a result, the macroscopic phenomena of lining concrete bursting and crack development during the fire test mainly occur near the fire source, where the temperature rise gradient is the highest. In addition, the lining structure has a deformation characteristic of local outward expansion and cannot recover after the fire load is removed. The ultimate form of damage after the fire is dominated by crush damage from the inside out of the lining joints in the fire-exposed area. The above results serve as a foundation for future tunnel fire safety design and evaluation.

The Perspective of Using Neural Networks and Machine Learning Algorithms for Modelling and Forecasting the Quality Parameters of Coking Coal—A Case Study

The quality of coking coal is vital in steelmaking, impacting final product quality and process efficiency. Conventional forecasting methods often rely on empirical models and expert judgment, which may lack accuracy and scalability. Previous research has explored various methods for forecasting coking coal quality parameters, yet these conventional methods frequently fall short in terms of accuracy and adaptability to different mining conditions. Existing forecasting techniques for coking coal quality are limited in their precision and scalability, necessitating the development of more accurate and efficient methods. This study aims to enhance the accuracy and efficiency of forecasting coking coal quality parameters by employing neural networks and artificial intelligence algorithms, specifically in the context of Knurow and Szczyglowice mines. The research involves gathering historical data on various coking coal quality parameters, including a proximate and ultimate analysis, to train and test neural network models using the Group Method of Data Handling (GMDH). Real-world data from Knurow and Szczyglowice mines’ coal production facilities form the basis of this case study. The integration of neural networks and artificial intelligence techniques significantly improves the accuracy of predicting key quality parameters such as ash content, sulfur content, volatile matter, and calorific value. This study also examines the impact of these quality indicators on operational costs and highlights the importance of final indicators like the Coke Reactivity Index (CRI) and Coke Strength after Reaction (CSR) in expanding industrial reserve concepts. Model performance is evaluated using metrics such as mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2). The findings demonstrate the effectiveness of these advanced techniques in enhancing predictive modeling in the mining industry, optimizing production processes, and improving overall operational efficiency. Additionally, this research offers insights into the practical implementation of advanced analytics tools for predictive maintenance and decision-making support within the mining sector.

Mechanical performance analysis of double-dovetail joint applied to furniture T-shaped components

T-shaped mortise and tenon members are the main structure of traditional Chinese furniture. In this paper, the double-dovetail joint used for face-to-face joint of rubber wood (Hevea brasiliensis Muell. Arg) is transformed into a new type of double-dovetail joint and rounded double-dovetail joint for T-shaped members of point joint structure. The ultimate pull-out test and bending strength test were carried out on the two structures and three structures of oval mortise, round rod mortise and right angle mortise. The results show that the ultimate pull-out force of the round double-dovetail joint is 39% higher than that of the double-dovetail joint, and the bending resistance capacity is 8.9% higher, and the strength and stability are better than those of other split mortises and tenons, which proves that this structure can be used in actual production, and also proves that the mortise and tenon connected by the surface has the possibility of transforming into a point connection structure. The concave structure of the rounded double-dovetail joint makes the mortise and tenon fit well, the tenon squeezed tight, and a good bonding effect was achieved. This structure can also provide greater friction and resistance, delay rubber adhesive failure and improve the stability.

Borehole Condition and Limit Pressure Differential Analysis in Carbonate Reservoirs

In deep carbonate reservoirs, testing and production with open-hole completion can help release the maximum production capacity. However, because the reservoir is subjected to high in situ stress, if the test pressure differential is too large, the wellbore collapse and instability will occur easily, causing downhole accidents. Therefore, it is necessary to determine the state of the borehole during the open-hole test in the carbonate reservoir and analyze the ultimate test pressure differential accordingly to ensure test safety. Considering the characteristics of open-hole completion, based on the mechanical properties of the carbonate reservoir and the stress distribution around the borehole during testing, a calculation method of the elastic zone, plastic zone, and residual failure zone around the open-hole wellbore was proposed. Regarding actual engineering data, a criterion for the overall stability of the open-hole section had been established from three aspects: the volume ratio of the plastic zone; the failure zone around the wellbore; and the failure angle on the borehole wall. According to this criterion, it is possible to determine the ultimate pressure differential during the open-hole test process and provide theoretical support for designing the open-hole completion test and production parameters for deep carbonate reservoirs.

Affirming Entropy

This paper challenges the frequent demonisation of entropy in discourses which attempt to draw a “naturalised” axiology from thermodynamics, information theory, and related sciences. Such discourses include Wiener’s cybernetics, Stiegler’s negathropology, and Floridi’s information ethics, in each of which entropy designates the evil which must be fought in the name of life, information, or some other notion of “the good.” The perspective the paper develops is Nietzschean. Nietzsche himself rejected the consequences of the Second Law, but I wish to argue that it is possible to affirm entropy, for Nietzschean reasons. First, the paper argues that the reason Nietzsche rejected the Second Law is that it provides consolation for the pessimist (an argument made by von Hartmann). Eternal return should be affirmed because it is the more difficult position, and so provides the ultimate existential test. However, metaphysical and existential reasons must give way to the more recent scientific evidence, especially the dating of the universe, which undermines Nietzsche’s argument against heat death. While this is alone sufficient reason to affirm entropy, the position is supported by two further classes of reasons. First, the oppositions which whave supported the traditional ascription of values to negentropy and entropy can be challenged; and 2) entropy can be seen as consonant with the characteristics of existence which Nietzsche sought to affirm, especially becoming.

Application of the BP neural network algorithm to the ultimate bearing capacity test of building structures

The ultimate bearing capacity test effect directly influences the safety performance of the design of building structures. To enhance the safety of building structures, applying the BP neural network algorithm to their ultimate bearing capacity test is studied to improve the test effect. The shear wave velocity of the building structure during stress is collected using the static probing technique. The input samples of the BP neural network are the building structure’s shear wave velocity and construction parameters. They are processed by dimensionality reduction through principal component analysis. The firework algorithm is used to optimize the weight of the BP neural network. An early termination training method is designed, and the optimal weight is combined to train the BP neural network. After training, the samples are input after dimensionality reduction, and the building structure’s ultimate bearing capacity test results are output. Experimental results show that this method can effectively collect the shear wave velocity of building structures and complete the dimensionality reduction of samples. Under different coaxial stresses, this method can effectively measure the ultimate bearing capacity, about 3800 kN. After parameter optimization, the test value of this method is very close to the target value; that is, the ultimate bearing capacity test precision is high.

Is an EU Member State a weaker party in the context of the rules of jurisdiction in direct actions against insurers? Comments on the request for a preliminary ruling in the case Mutua Madrileña Automovilista, C-536/23

The request for a preliminary ruling in the case Mutua Madrileña Automovilista, C-536/23, puts to the ultimate test the concept of “weaker party” that underpins the …U rules of special jurisdiction in direct actions against insurers. The referring court asks whether an …U Member State, acting as a statutory subrogee to the rights of its employee injured in a road traffic accident, can rely on the rule of special jurisdiction established by Articles 11(1)(b) and 13(2) of the Brussels I bis Regulation for the benefit of injured parties. Against this background, first, the preliminary question is based on a premise that the …U Member State may sue the insurer “before the courts for the place where the official […] is domiciled”. This premise seems misguided. In fact, a successor in title of a directly injured party may bring the direct action before the court of their own domicile Second, it is immaterial that an …U Member State is a subject of public international law. Unless the state acts iure imperii [arg. ex Art 1(1) of the Regulation], it can rely on the rules of jurisdiction provided for in the Regulation, including the rules of special jurisdiction in matters of insurance. Third, since the rules of special jurisdiction in direct actions against insurers are established for the benefit of weaker parties, they cannot be relied on by the “professionals in the insurance sector”. To verify whether a claimant qualifies as such a professional in the insurance sector, a two-tier analysis is proposed. In the first step, an abstract and generalising assessment is carried out in order to verify whether the claimant belongs to the insurance sector or has close ties with that sector as the result of dealing (litigating or settling) regularly with the insurance claims as the inherent aspect of the commercial activity model they adopted or public mission they were entrusted with. In the second step, an additional check has to be made in order to ascertain whether the direct action brought against the insurer fits within such a general and abstract profile of the claimant or not. If the direct action does not originate in such a commercial activity or public mission, the claimant cannot be considered as a “professional in the insurance sector” in the context of the specific proceedings. In the light of the above, the contention is that an EU Member State, which, in its capacity of an employer continued to pay the remuneration to its official who became unfit for work as a result of a road traffic accident and which subrogated to the official’s rights vis-à-vis the insurer that provides the civil liability insurance for the vehicle involved in that accident, may rely on the rule of special jurisdiction set forth in Articles 11(1)(b) and 13(2) of the Brussels I bis Regulation.

230 Using phenotypes with uncertain identification leveraging computer vision models

Abstract There has been an increase in high throughput phenotyping using sensors in livestock farming. The major obstacle when analyzing phenotypic data in studies using cameras is identifying the animals using computer vision. To overcome this problem, an analysis method that uses keypoint detection in conjunction with classification algorithms can identify animals in images. However, these algorithms generally output a prediction probability for different classes, reflecting uncertainty. In most practices, the highest probability will be assigned as the putative identification (ID). In some cases, this may introduce incorrect identification and affect downstream decisions. Here, we propose an analytical approach to incorporate all the uncertainty in the putative ID distribution into downstream inferences. We used a publicly available keypoint detection dataset of 17 keypoints detected in 3,226 images from 30 diverse thoroughbred horses. We performed feature engineering with Linear Discriminant Analysis (LDA) using 5-fold cross-validation to build horse classifiers. The best model selected had an accuracy of 88.12% to identify animals in the testing set. Afterward, we performed Monte Carlo simulations to add a phenotype that was assumed independent of the image keypoints. This generated a set of plasmodes to evaluate methods that accounted for ID uncertainty. Each simulation included different means for two groups of 15 horses. In total nine simulation scenarios were considered including varying effect sizes of group mean difference and various repeatability values (horse variance to total variance ratio). We analyzed the simulated data with three different mixed models: 1) Fixed and random effects were based on using ground truth assignment of ID, 2) Fixed and random effects were based on using the putative ID with the highest posterior probability from the best classifier, 3) Finally, prediction probabilities were used to account for putative ID uncertainty. As expected, the model that used ground truth ID had the highest power to detect group differences, and it had the lowest root mean square error (rMSE) to estimate variance components across all scenarios. The linear model that used highest posterior probability putative ID, showed the lowest power and highest rMSE. For instance, as shown in Table 1, the mean rMSE value for group mean differences in the model using ground truth is 0.01 and the model using highest posterior probabilities is 0.13. The model that incorporated ID uncertainty had intermediate properties, showing a rMSE of 0.03 for group differences. Overall, incorporating uncertainty in Animal ID results in improved performance in ultimate test statistics used in animal studies. This is very important in breeding and precision livestock farming contexts where animal identification is challenging. We will further investigate this.

Exploring the Efficacy and Ethical Implications of Penetration Testing in Network Security

In today's landscape, cybersecurity reigns supreme as cybercrimes surge. Businesses are on high alert, striving to shield themselves from online threats like hacking and data breaches. Various safeguards are in place to brace for such scenarios. However, penetration testing emerges as the ultimate litmus test to gauge the efficacy of these security measures. A penetration tester must meticulously select the appropriate tools, considering factors like budget, time, and scope. This study scrutinizes the effectiveness of scanning tools within a Kali Linux environment. The overarching objective of penetration testing is to ensure networks and systems remain impervious to security threats, preventing unauthorized access to resources. This paper delves into the intricacies of planning and executing a penetration test, targeting project managers or directors contemplating such an endeavor. Undoubtedly, conducting a penetration test is a complex undertaking, and organizations must weigh the suitability of this method for their specific needs.

Experimental study on axial compression fatigue of grouted connection in jacket offshore wind turbines

The grouted connection (GC) of the offshore wind turbine (OWT) jacket foundation mainly bears axial loads, the wind and wave load in the working environment make the structure prone to fatigue problems. The construction environment of the OWT foundation is relatively harsh, so there will be vertical and horizontal errors during the construction process. In this paper, the fatigue test of 9 specimens were designed to analyze the influence of vertical and horizontal errors, water ingression and other factors on the axial fatigue performance of the GC section. The static ultimate bearing capacity test was carried out to determine the load ranges of the fatigue test. Results of fatigue tests indicate that the fatigue performance of the GC considerably degenerates with the load eccentricity, especially at the end sections of the inner and outer tubes. Water ingression has a significant negative influence on the fatigue performance of the GC section. The presence of water contributes to the propagation and development of cracks in the grout layer. Load range, vertical and horizontal errors and grout material have negligible effect on the fatigue performance of the structure.

Editorial: Investment Protection in an Integrated Europe – The Non-Enforcement of Intra-EU Investment Arbitration Awards as the Ultimate Test Case for Strasbourg’s Deference Doctrines

Editorial: Investment Protection in an Integrated Europe – The Non-Enforcement of Intra-EU Investment Arbitration Awards as the Ultimate Test Case for Strasbourg’s Deference Doctrines

Kinds, properties and atelicity

Since at least Vendler 1967, one of the most widely discussed data points, often viewed as the ultimate test for (a)telicity, is the behavior of durative modifiers with respect to different VP types as in John killed mosquitos/*a mosquito for an hour. In the present paper, I explore a new blend of the two most widespread approaches to this issue, namely (i) the view of durative modifiers as universal quantifiers (e.g., Dowty 1979, a.o.) and (ii) their view as aspect sensitive measure adverbials (e.g., Krifka 1998, a.o.). The blend explored here is based on an economy constraint specific to the scope of adverbial quantification (‘do not weaken’ cf. Bassa Vanrell 2017) combined with the identification of the special role that kinds and properties may play as direct bearers of thematic relations in an event-based semantics.

Influence Law of Axis Deflection on the Mechanical Properties of Steel Stranded Short Slings in Arch Bridges

Most cable arch bridge damage accidents are caused by bridge collapse due to fracture of the short sling of the arch bridge. The service life of the short sling is much lower than the design life, mainly resulting from the action of vehicles and temperature, and the arch rib and the bridge floor will have relative displacement along the bridge direction, which leads to the emergence of bending stress due to the different axes at both ends of the short sling, forming local stress concentration. The stress concentration is coupled with corrosion to accelerate the damage to the sling. To study the influence of shaft deflection on the mechanical properties of short slings of steel strands in arch bridges, this study analyzes the distribution law of the shaft deflection angle of arch bridge slings under the action of vehicle and temperature loads for a medium-bearing arch bridge with a main span of 560 m. The results show that under different vehicle and temperature loads, the axial deflection angle of the short sling is the largest, and the closer it is to the center of the span, the smaller the axial deflection angle. The static and fatigue properties of 1, 3, 7, 9, 12, 19, and 27 strands of whole bunch extruded strand slings were simulated and analyzed under a 0.45σb force when the axial deflection angle of the strand slings was 0 mrad, 10 mrad, 20 mrad, and 30 mrad. The results show that the ultimate tensile properties, breaking strength, and fatigue life of the strand slings decreased to a certain extent with increasing shaft deflection angle. The accuracy of the finite element models is verified by the ultimate tensile test and the fatigue test. This study explores the bending deflection results of the short slings of arch bridges due to the different axes of the upper and lower anchorages and provides the necessary theoretical support for the design and fatigue life estimation of the short slings of arch bridges.

Evaluation of training in transfusion safety offered to medical students in Morocco

students worldwide receive little training on blood transfusion therapies during their time at medical schools and hospitals, then reformulation of academic programs is mandatory. Indications for blood transfusions are more frequent than recommended, which helps to increase the risks associated with this procedure. To overcome this, structured objective training on nursing care and procedures was organised with the topic of transfusion safety. The purpose of our study was to assess medical students´ appreciation of this training and the degree to which this population had mastered it. we conducted a cross-sectional, descriptive, single-centre study. We conducted a survey among the 3rd-year medical students. A self-administered assessment questionnaire, as well as an evaluation grid for acquired skills, filled in by the training doctors during the session, were used. Data analysis was based on descriptive statistics using Excel software. three hundred and eighty-four (n=384) students were invited to attend this training course, 275 (71.6%) of whom were enrolled in the study. The overall satisfaction rate was 93.8%. The objectives and organisation were 95.6% successful. The quality of the training was 90.3% satisfactory. The choice of topic for the station was satisfactory for 80% of participants, the flow of the session for 86.3%, the quality of the organisation and debriefing for 89%, the interaction between trainers and learners for 90.2%, the motivation of trainers and the reflection stimulated in the learners for 92%. We noted that 93% of students had never participated in training in transfusion safety. Mastery of global skills was total for 67%, partial for 26% and absent for 7%. The students mastered the procedures for checking the identity and grouping of the product to be transfused at 97%, the principle of interpreting the ultimate pre-transfusion test (96%), the purpose of ultimate test at the patient´s bedside 93% with mastery of its technical implementation 83%. training in transfusion safety was well received, with a satisfactory level of proficiency. This experience can easily be extended to other topics.