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Background Banana ( Musa spp.) is the most popular marketable fruit crop grown all over the world, and a dominant staple food in many developing countries. Worldwide, banana production is affected by numerous diseases and pests. Novel and rapid methods for the timely detection of pests and diseases will allow to surveil and develop control measures with greater efficiency. As deep convolutional neural networks (DCNN) and transfer learning has been successfully applied in various fields, it has freshly moved in the domain of just-in-time crop disease detection. The aim of this research is to develop an AI-based banana disease and pest detection system using a DCNN to support banana farmers. Results Large datasets of expert pre-screened banana disease and pest symptom/damage images were collected from various hotspots in Africa and Southern India. To build a detection model, we retrained three different convolutional neural network (CNN) architectures using a transfer learning approach. A total of six different models were developed from 18 different classes (disease by plant parts) using images collected from different parts of the banana plant. Our studies revealed ResNet50 and InceptionV2 based models performed better compared to MobileNetV1. These architectures represent the state-of-the-art results of banana diseases and pest detection with an accuracy of more than 90% in most of the models tested. These experimental results were comparable with other state-of-the-art models found in the literature. With a future view to run these detection capabilities on a mobile device, we evaluated the performance of SSD (single shot detector) MobileNetV1. Performance and validation metrics were also computed to measure the accuracy of different models in automated disease detection methods. Conclusion Our results showed that the DCNN was a robust and easily deployable strategy for digital banana disease and pest detection. Using a pre-trained disease recognition model, we were able to perform deep transfer learning (DTL) to produce a network that can make accurate predictions. This significant high success rate makes the model a useful early disease and pest detection tool, and this research could be further extended to develop a fully automated mobile app to help millions of banana farmers in developing countries.

One hundred years after the publication of History and Class Consciousness, it is imperative to revisit the classic work of Georg Lukács to discuss the relevance of his ideas in a world where the capitalist mode of production does not cease to show its devastating effects. To do so, we divide the article into two sections. In the first part, we place Lukács’ work in dialogue with that of Hegel and Marx in order to clarify the status of violence as an ontological condition of history, allowing us to determine the theoretical-practical framework from which social revolution can be conceptualized. In the second section, we analyze Lukács’ notion of class consciousness not as a historical fatality but as an act of self-determination of the proletariat. We compare this proposal with the current situation of gentrification of the proletariat which, far from invalidating the Hungarian author’s proposal, constitutes its reversal and the platform for its actualization. Ultimately, it is about the proletarian still today taking control and becoming, through class consciousness, the subject-object of history. We conclude by reinterpreting Lukács’ terms in a practice that counters a reactionary position in order to combat both the reactionary movements and the hedonistic immobilism of the proletariat.

Acute pancreatitis is the recurrent reason for gastrointestinal admission in a clinical urgent setting, it happens secondary to a wide array of pathologies out of which biliary disease stands as one of the most frequent causes for its presentation. Approximately 20% of pancreatitis are of moderate or severe severity. Currently, there is not a clear recommendation on timing for cholecystectomy, either early or delayed.CHISPA is a randomized controlled, parallel-group, superior clinical trial. An intention-to-treat analysis will be performed. It seeks to evaluate differences between patients taken to early cholecystectomy during hospital admission (72 hours after randomization) versus delayed cholecystectomy (30±5 days after randomization). The primary endpoint is major complications associated with laparoscopic cholecystectomy defined as a Clavien-Dindo score of over III/V during the first 90 days after the procedure. Secondary endpoints include recurrence of biliary disease, minor complications (Clavien-Dindo score below III/V), days of postoperative hospital stay, and length of stay in an intensive therapy unit postoperatively (if it applies).The CHISPA trial has been designed to demonstrate that delayed laparoscopic cholecystectomy reduces the rate of complications associated to an episode of severe biliary pancreatitis compared to early laparoscopic cholecystectomy.Trial registration number: NCT06113419.

In the light of some recent criticisms, this text seeks to promote a debate that takes place on two fronts: on the one hand, the logic of the origin of logic and, on the other hand, the relationship between psychoanalysis and Marxism. To this end, some texts published by Alain Badiou towards the end of the 1960s, in which he polemicizes with Jacques-Alain Miller around the concepts of \"suture\" and \"subject\" (Zizek), are recovered in order to situate both the different positions and the coherent reconsiderations throughout his intellectual trajectory. Indeed, from \"The Concept of the Model\" to his most recent trilogy (Theory of the Subject, Being and the Event and Logic of Worlds), a perspective is proposed that, far from establishing hierarchies and subordinations, seeks to promote connections based on specificities and differences through that particular path that is philosophy. In this way it is possible to appreciate that, despite his critique of the primacy of the logic of the signifier, the concepts proposed by Jacques Lacan functioned as a notorious source of inspiration for Badiou, especially in relation to the subject of the unconscious.

In this paper, we examine the impact of adopting Industry 4.0 (I4.0) base technologies on the development of seven learning dimensions used as proxies for organization learning capabilities. We conducted a grounded theory approach in which 129 practitioners from different manufacturing companies were surveyed, and their responses analyzed through multivariate techniques. Findings allowed us to raise a theoretical framework for explaining learning development in organizations undergoing I4.0 adoption. We identified three clusters of adopters: (i) beginners, (ii) in-transition, and (iii) advanced. We found an ascending learning trend in clusters (i) and (iii) and a stationary learning pattern in (ii). Our study advances the understanding of how learning capabilities are affected as organizations advance I4.0 adoption. Our findings also gauge expectations regarding the effects of I4.0 base technologies’ adoption on learning capabilities, helping academics and practitioners anticipate potential issues and develop countermeasures accordingly.

ABSTRACT Brief memories of his last tribute in life, in the middle of the year 2021, and a approach to his work in two very specific subjects: theory of law and the study of the great Venezuelan-Chilean humanist, Andres Bello. Conveniencia de la compilación de su obra Alejandro Guzmán dedicó la mayor parte de su vasta obra al derecho romano, su ciencia de base y de mayor desarrollo; además, dedicó su obra científica en no poca medida a temas relativos a la historia y codificación del derecho legal y a diversos temas de la historia del pensamiento jurídico o de las ideas jurídicas. Igualmente, uno podría pensar en la posibilidad de editar unas obras completas de Alejandro Guzmán, pero él nos ha facilitado en algo la tarea, porque siguiendo las huellas de su maestro, realizó en vida varias compilaciones de sus trabajos antes publicados en diversas revistas y sedes. Quedan por compilar muchos otros trabajos, por ejemplo, aquellos dedicados al derecho romano y a diversas disciplinas, esto es, a la m i c r o l o g í a del derecho (en lo que también sigue a su maestro), que bien valdría ser parte de alguna obra compilatoria.

Software Process Improvement provides benefits to organizations, however, efforts to improve aren't guided by the combined use of Critical Success Factors and Good Practices to be applied, dedicating resources without a prior analysis to guide the actions intentionally. The research proposes an intelligent system for decision making support in Software Process Improvement, taking as reference the Critical Success Factors and Good Practices that an organization can apply to improve its state. In order to achieve this, an intelligent system is conceived, which, based on Artificial Intelligence techniques, optimizes improvement scenarios through the implementation of a genetic algorithm and the application of rules of association between good practices and critical success factors, predicts the success of scenarios improvement through an evolutionary artificial neural network and offers recommendations to achieve them. The methods used to validate the results corroborated the contribution and usefulness of the proposal.

ABSTRACT A text on French mining law published in two parts by Andrés Bello in El Araucano in 1842, with the title of \"Administrative Law Course by M. Cotelle: 3 volumes 8, Paris\", is reproduced with aggregates and some critical apparatus. The brief initial notes refer to the content and relevance of this text for the study of the sources of Chilean mining law and the possible motivations of Bello to publish it, given the time it was made. Key Words Andrés Bello (manuscript) - Mining Law (history of) - Administrative Law (French) - History of 19th century law - El Araucano. En Anexo realizo la transcripción de la traducción publicada por Bello; además, ofrezco una comparación con el original publicado en francés, en especial por el hecho de que Bello prescindió de algunos párrafos y notas de ese original, seguramente por una cuestión de espacio; textos estos que ofrezco también, traducidos, en el lugar que corresponde según su original. 2.Decurso editorial de la traducción de Bello Muestro los tres momentos relevantes de esta traducción: la edición en Francia del texto original traducido; la edición de su traducción en Chile, y luego el curso editorial y referencias de la misma. a) texto original publicado en Le Moniteur Universel en 1841 En el N° 323 de Le Moniteur Universel, del viernes 19 de noviembre de 1841, de cuatro páginas, en las dos finales (pp. 2.353 y 2.354), sección \"Jurisprudence\", se publicó una recensión escrita por De Cheppe [\"maître des requétes, chef de la division des mines au ministere des travauxpublics\"] sobre un manual de derecho administrativo, el Cours de droit administratif de M. Cotelle; reseña que fijaba su atención en especial (casi únicamente) sobre una parte de esa obra: la relativa a las minas1.

Background: Automatic adventitious lung sound classification using deep learning is a promising strategy for objective respiratory disease screening. Evaluating model performance is challenging, particularly with imbalanced clinical datasets. This study compares CNN architectures and proposes a dual-stream classification approach. Methods: Using the public ICBHI 2017 dataset, we compared five pre-trained architectures: VGG16, VGG19, InceptionV3, MobileNetV2, and ResNet152V2. To mitigate class imbalance, we implemented pitch shifting, random shifting, and mixup data augmentation. We also developed and evaluated a novel VGGish-dual-stream network. The primary endpoint was the Average Score (AS), the arithmetic mean of Sensitivity and Specificity. Results: Among benchmarked models, ResNet152V2 achieved the highest AS (0.541), approaching the state-of-the-art range (0.56–0.58). This performance was characterised by a high Specificity (0.67) but low Sensitivity (0.41). Our proposed dual-stream network yielded a more balanced, albeit slightly lower, performance with an AS of 0.508. Conclusions: Standard CNN architectures like ResNet152V2 can achieve competitive classification performance but may exhibit a clinically significant bias towards high specificity at the expense of sensitivity. This trade-off poses a risk of missing pathological events (false negatives). To ensure clinical safety and utility, future work must prioritise strategies that explicitly improve model sensitivity.

This report details the case of a preadolescent female patient diagnosed with Kabuki syndrome, a rare genetic disorder characterised by distinctive facial features, growth delay and cognitive impairment. The patient’s medical history includes perinatal complications, alongside challenges in developmental milestones, feeding and psychomotor skills since infancy, prompting further investigation. Genetic testing confirmed the diagnosis, revealing a full deletion of KDM6A .The patient underwent a multidisciplinary approach, addressing various aspects of her condition, which resulted in significant improvements in several areas. However, despite progress, challenges persist in daily tasks and the acquisition of advanced motor skills. This underscores the necessity of integrated management strategies, emphasizing the diagnostic importance of genetic testing that contributes to a deeper understanding of the clinical spectrum and guides targeted therapeutic interventions. Continued research is crucial to further unravel the complexities of this rare genetic disorder and enhance patient care.