Designing and Building a Wireless Network Prototype for the Management and Invoicing System of Real-Time Commands, Implemented to Smart Restaurants

This paper proposes a design and construction of a wireless network prototype for the management and invoicing system of real-time commands, which is implemented to smart bar-restaurants. It is mainly made up of three modules that are interlinked through Wi-fi wireless technology. The administration module provides all the information required for commands management and invoices to the user through the management module that uses touch-based devices, this generated information is sent directly to the preparation module. The communication of each module is performed with SQL searches on the database server developed on phpAdmin. An application was developed for each module in the Android Studio and NetBeans programming environments. The applied methodology is based on surveys that determine the prototype needs and requirements. For prototype validation, a series of tests were conducted on the integral operation and wireless communication range of the latter, establishing the maximum operating distance at 33.75 meters, so that the operation did not present malfuncions due to the Location dimensions are within range. Menu query times were verified obtaining that the system optimizes in 86.00% the time used in the traditional way. Significantly reduces command management time by 62.90%. There was no saturation in the network since the traffic generated only represented 2.76% of the router's capacity. It is recommended to hire a remote service to store the data. Keywords: wireless communication, data transmission, bandwidth, command, invoicing, wifi, system, modules. Resumen El presente artículo propone un diseño y construcción de un prototipo de red inalámbrica para la gestión y facturación de comandas en tiempo real, aplicado a la implementación de bares-restaurantes inteligentes. Está constituido por tres módulos que se comunican mediante tecnología Wi-fi. El módulo de administración proporciona la información necesaria para manejo de base de datos y facturas de usuario, el mismo que mediante el módulo de gestión utiliza dispositivos táctiles para generar pedidos, esta información es enviada directamente al módulo de preparación. La comunicación entre módulos se establece mediante consultas SQL para acceder a la base de datos creada en phpMyAdmin. Para cada módulo se desarrolló una aplicación en los entornos de programación Android Studio y NetBeans. La metodología aplicada en base a encuestas facilitó la determinación de necesidades y requerimientos del prototipo. Para la validación del sistema se realizaron pruebas sobre el funcionamiento íntegro y alcance de comunicación inalámbrica de este, estableciendo la distancia máxima de funcionamiento a los 33,75 metros, cumpliendo con las dimensiones del local en el que se implementó. Se verificaron tiempos de consulta de menú obteniendo que el sistema optimiza hasta un 86,00% los tiempos utilizados en la forma tradicional. Reduce notablemente el tiempo de toma de pedido en un 62,90%. No se presentó saturación de red ya que el tráfico generado representa el 2,76% de la capacidad del enrutador. Palabras clave: comunicación inalámbrica, transmisión de datos, ancho de banda, comanda, facturación, wifi, sistema, módulos.

T2-Weighted Whole-Brain Intracranial Vessel Wall Imaging at 3 Tesla With Cerebrospinal Fluid Suppression

BackgroundT2-weighted (T2w) intracranial vessel wall imaging (IVWI) provides good contrast to differentiate intracranial vasculopathies and discriminate various important plaque components. However, the strong cerebrospinal fluid (CSF) signal in T2w images interferes with depicting the intracranial vessel wall. In this study, we propose a T2-prepared sequence for whole-brain IVWI at 3T with CSF suppression.MethodsA preparation module that combines T2 preparation and inversion recovery (T2IR) was used to suppress the CSF signal and was incorporated into the commercial three-dimensional (3D) turbo spin echo sequence-Sampling Perfection with Application optimized Contrast using different flip angle Evolution (SPACE). This new technique (hereafter called T2IR-SPACE) was evaluated on nine healthy volunteers and compared with two other commonly used 3D T2-weighted sequences: T2w-SPACE and FLAIR-SPACE (FLAIR: fluid-attenuated inversion recovery). The signal-to-noise ratios (SNRs) of the vessel wall (VW) and CSF and contrast-to-noise ratios (CNRs) between them were measured and compared among these three T2-weighted sequences. Subjective wall visualization of the three T2-weighted sequences was scored blindly and independently by two radiologists using a four-point scale followed by inter-rater reproducibility analysis. A pilot study of four stroke patients was performed to preliminarily evaluate the diagnostic value of this new sequence, which was compared with two conventional T2-weighted sequences.ResultsT2IR-SPACE had the highest CNR (11.01 ± 6.75) compared with FLAIR-SPACE (4.49 ± 3.15; p < 0.001) and T2w-SPACE (−56.16 ± 18.58; p < 0.001). The subjective wall visualization score of T2IR-SPACE was higher than those of FLAIR-SPACE and T2w-SPACE (T2IR-SPACE: 2.35 ± 0.59; FLAIR-SPACE: 0.52 ± 0.54; T2w-SPACE: 1.67 ± 0.58); the two radiologists’ scores showed excellent agreement (ICC = 0.883).ConclusionThe T2IR preparation module markedly suppressed the CSF signal without much SNR loss of the other tissues (i.e., vessel wall, white matter, and gray matter) compared with the IR pulse. Our results suggest that T2IR-SPACE is a potential alternative T2-weighted sequence for assessing intracranial vascular diseases.

INTEGRATION OF DIGITAL AND PEDAGOGICAL TECHNOLOGIES IN THE PROCESS OF TEACHING STUDENTS OF SOCIO-ECONOMIC AND PEDAGOGICAL AREAS OF TRAINING

Тhis study examines how to integrate the benefits of role-playing, collaborative and interactive learning, and realistic case studies in a virtual environment. The article describes the experience of implementing an educational model based on the online virtual reality platform Second Life (SL), which provides students with the opportunity to participate in role-playing games, interactive learning, and social interaction in the learning process. The proposed model consists of three modules: the module for the preparation of information, joint modeling, a reflexive module that provides practical skills by participating in a 3D game. Students and teachers who participated in the testing of the model gave a positive assessment. The main goal of developing an educational model that's based on Second Life is to improve the educational process, using the advantages of role-playing games, collaborative and interactive learning, as well as realistic cases in a virtual environment. This can be achieved using three modules: an information preparation module, a joint simulation module for studying the situation, and a reflexive module. Unlike some virtual educational systems, this model is specifically designed to help students understand the causes of problems and how to solve them through data visualization and simple modeling, easy communication, flexible interaction, collaboration, and immersion in the SL environment. By integrating the three modules in the SL environment, the model will provide more opportunities for effective collaborative learning in various fields of knowledge. In the information preparation module, teachers and students use moving avatars to perform all the actions presented in the demo virtual room in SL with the support of the Semantic Wiki Template. This template provides the platform with sections of information on the studied subject. Using it, teachers can easily pass practical tasks to the student, while students can respond and present results without having any deep training in the field of information technology.

Technological troubleshooting based on sentence embedding with deep transformers

In nowadays manufacturing, each technical assistance operation is digitally tracked. This results in a huge amount of textual data that can be exploited as a knowledge base to improve these operations. For instance, an ongoing problem can be addressed by retrieving potential solutions among the ones used to cope with similar problems during past operations. To be effective, most of the approaches for semantic textual similarity need to be supported by a structured semantic context (e.g. industry-specific ontology), resulting in high development and management costs. We overcome this limitation with a textual similarity approach featuring three functional modules. The data preparation module provides punctuation and stop-words removal, and word lemmatization. The pre-processed sentences undergo the sentence embedding module, based on Sentence-BERT (Bidirectional Encoder Representations from Transformers) and aimed at transforming the sentences into fixed-length vectors. Their cosine similarity is processed by the scoring module to match the expected similarity between the two original sentences. Finally, this similarity measure is employed to retrieve the most suitable recorded solutions for the ongoing problem. The effectiveness of the proposed approach is tested (i) against a state-of-the-art competitor and two well-known textual similarity approaches, and (ii) with two case studies, i.e. private company technical assistance reports and a benchmark dataset for semantic textual similarity. With respect to the state-of-the-art, the proposed approach results in comparable retrieval performance and significantly lower management cost: 30-min questionnaires are sufficient to obtain the semantic context knowledge to be injected into our textual search engine.

Intertextual Motive Nests in the Interpretation of the Topic Society and Power from the Curriculum in Literature for 11th grade (Compulsory and Profiled Preparation, Module “Dialogic Readings”)

This article aims to interpret the intertextual motive nests on the topic of Society and Government – part of the curriculum in literature for 11th grade, combining texts from compulsory and specialized training, module Dialogic readings. The artistic interactions between the literary texts included in the curriculum and those that are outside it are considered, in order to highlight the dialogic nature of literature as a special type of cultural significance. Based on the specific interpretive commentary, the leading problem-thematic lines stand out, which would become the basis for effective educational work.

Leveraging advanced preparation of oncology medications: Decreasing turnaround-times in an outpatient infusion center

Introduction Many oncology infusions are provided in hospital-based infusion centers. With hospital-based infusion centers seeing increased volumes, patient wait times continue to be a priority. Extended wait times for oncology infusions have been shown to lead to patient dissatisfaction. Methods Advanced Preparation of oncology infusion medications allows pharmacy to verify and prepare specific medications the day before a patient’s infusion appointment. Our study targeted lower cost, commonly used medications to prepare in advance. Data analyzed included turnaround time (TAT), medication waste, and oncology infusion preparation volumes. Implementation took place in two phases to allow time for the healthcare team to adjust to the new workflow. Phase I medications include a small amount of medications prepared manually by pharmacy technicians. Phase II medications included all phase I medications plus additional medications that were compounded in the intravenous (IV) robotic compounding system. Results Our study demonstrated significant decrease in median TAT for medications prepared in advance. 537 infusions were prepared using the Advanced Preparation module with a median TAT of 24.2 minutes (IQR, 18.0–34.0). The pre-implementation median TAT was 45.0 minutes (IQR, 36.0–56.0), which represents a decrease of 20.8 minutes (46.2%) following implementation of the program, (p<0.001). There were a total of 149 advanced preparation doses that were wasted (21.7% of doses). Conclusion We have seen a statistically significant reduction in TAT for Advanced Preparation medications. Low volume of Advanced Preparation medications compared to total infusion volume limited impact on overall TAT.