bluuebunny/crossref_metadata_2025 huggingface dataset:
Interferência sazonal e do volume de produção de leite nos resultados de CPP e CCS
Authors: Moreira Larissa Cotta , Medeiros Edna Da Cruz , Cappelle Edilson Rezende , Jayme Cristiano Gonzaga , Nogueira Cristina Henriques , Carvalho Wellyngton Tadeu Vilela
Published: January 2023

A atividade leiteira, assim como a busca pela excelência na qualidade do leite e seus derivados, encontra-se em constante evolução no Brasil. A qualidade do produto final está atrelada a cada uma das etapas de produção, desde a nutrição, manejo sanitário do rebanho, manejo de ordenha, tempo e temperatura de refrigeração do leite pós ordenha, limpeza e sanitização de máquinas e utensílios, até ao transporte, armazenamento, e tempo transcorrido entre todas essas etapas até seu processamento. Assim, foram coletadas duas amostras de leite cru por mês para análise de qualidade, durante doze meses (outubro/2018 a setembro/2019), do tanque de refrigeração de propriedades leiterias em sete regiões do estado de Minas Gerais. Foi verificada a interação entre as variáveis: volume de produção e período da seca e das águas; com os parâmetros de qualidade: Contagem Padrão em Placa (CPP) e Contagem de Células Somáticas (CCS). Observou-se que houve interação entre as variáveis volume de produção e época do ano apenas nos resultados de CPP, em que no período das águas e nas propriedades de menores volumes de produção de leite, observou-se as maiores médias. Para a variável CCS não foi observada interação significativa (p0,05) entre as variáveis estudadas e as médias de CCS, no entanto, foram observados maiores resultados no período das águas.
How financial firms can leverage big data analytics for developing strong consumer loyalty
Authors: Sazu Mesbaul Haque , Jahan Sakila Akter , Isenberg Daniul Thomas
Published: January 2023

A powerful technological shift and altered consumer expectations influence the banking industry in USA. Banks have far more data about their customers than other industries. Innovative solutions and methods have been created on the basis of mathematical statistical versions. This knowledge is used to focus on the buyer, and it is termed as "Accounts" and "Big Data" also to have the ability to offer items that fit exactly from the info gained. The primary reason for this particular analysis is to investigate how "Big Data Analytics " could be discussed and utilized as a renewable client loyalty instrument. The examination of the subject is carried out in the following rational order: Background, research question, and introduction, hypotheses and methods, conclusion and discussion, directions and limitations for more research. When working with Big Data Analytics, you will find various perspectives, e.g. from the bank's perspective and from the bank client's point of view. To answer the question of renewable client loyalty from the consumer perspective, the connection between Analytics and "Big Data" and the concepts of client advisory will be investigated. This particular newspaper provides the end result of an empirical evaluation based on a survey from September 2021 in USA.
Impact of data analytics in transforming the decision-making process
Authors: Christenson Jr. Arthur Paul , Goldstein William Shalom
Published: January 2023

Although business analytics is becoming more and more used to provide data-driven insights to support decision making, there is little research on how business analytics may be used at an organizational level to enhance decision making effectiveness. This paper develops a study model linking company analytics to organizational decision-making effectiveness, using the info processing view as well as contingency theory. Based on 740 responses from UK business organizations, the research model is examined using structural situation modelling. Key findings show that business analytics can be done through key findings. Mediating a data driven environment positively affects information processing abilities, which have a good impact on decision-making effectiveness in turn. The findings also show that the pathways from company analytics to decision making are obvious. There are no statistical differences between large and small businesses, but several differences between the manufacturing and professional services industries. Our findings add to the literature on business analytics by offering helpful insights into company analytics applications and the facilitation of data driven decision making. They also improve the knowledge and understanding of managers by showing how business analytics needs to be applied to improve decision making effectiveness.
Information technology & supply chain management: role of big data on efficiency
Authors: Chouakang Ying Ming , Managtuk Kinga Pangu , Tussaly Lebangan Minatark
Published: January 2023

The study bridges the gap in between the 2 intersecting domains, information science and supply chain management. The information could be examined for listing management, forecasting and prediction, that is in the type of accounts, forecasts and queries. Due to the cost, weather patterns, complex nature and economic volatility of business, the forecasts might not be accurate. This has led to the development of Supply chain analytics. It's the application of quantitative and qualitative techniques in order to resolve related issues and to foresee the results by considering quality of information. The problems like improved effort between companies, customers, governmental organizations and retailers, businesses are developing Big Data strategies. Large Data uses will be connected for Supply Chain Management throughout the fields as procurement, warehouse operations, transportation, advertising as well as for sensible logistics. As supply chain networks getting great, much more complicated and driven by needs for more demanding service levels, the kind of information which is handled as well as examined likewise gets to be more complicated. The existing labor aims at providing an introduction of adoption of abilities of Data Analytics included in a "next generation" architecture by creating a linear regression type on a sales-data. The paper additionally covers the survey of how large data techniques may be used for storage, managing, processing, visualization and interpretation of data in the area of Supply chain.
Impact of big data analytics & machine learning on innovation of manufacturing companies
Authors: Anderson Charlotte Katie , Serra Agueda Antonia , Abrahamsen Lucas Casper
Published: January 2023

Developments in Business Analytics in the era of Big Data have furnished unprecedented possibilities for businesses to innovate. With insights gained from Business Analytics, businesses are in a position to cultivate new or even enhanced products/services. Nevertheless, not many scientific studies have examined the mechanism whereby Business Analytics plays a role in a firm 's innovation results. This particular analysis aims to deal with this gap by empirically and theoretically checking out the connection between Business Analytics as well as innovation. In order to do this aim, absorptive capability principle is employed as a theoretical lens to understand the improvement of a research version. Absorptive capacity theory describes a firm 's potential to understand the importance of fresh, external info, assimilate it and put it on to commercial ends. The study model covers the usage of Business Analytics, innovation, data-driven culture, environmental scanning, along with competitive advantage. The study design is examined by way of a questionnaire survey of 228 USA companies. The results suggest that Business Analytics specifically increases green scanning which helps you to improve a company 's development. Business Analytics also specifically enhances data driven culture which in turn impacts on green scanning. Data-driven culture plays another essential function by moderating the impact of green scanning on new product meaningfulness. The findings show the beneficial effect of company analytics on development and the pivotal roles of green scanning as well as data driven culture. Organizations wishing to realize the possibility of Business Analytics thus require changes in both their internal and external focus.
Decision-making in large corporations - role of big data analytics & data mining
Authors: Hendstein Christophar Nicholas , Katsu Hiroshi Akeera
Published: January 2023

Function - The goal of this particular paper is presenting a novel framework for strategic decision making utilizing Big Data Analytics methodology. Design/methodology/approach - In this particular research, 2 distinct machine learning algorithms, Random Forest as well as Artificial Neural Networks are used to forecast export volumes working with a considerable level of open industry information. The forecasted values are in the Boston Consulting Group Matrix to conduct strategic industry analysis. Results - The proposed technique is validated utilizing a hypothetical case study of a Chinese business exporting freezers and refrigerators. The results indicate the proposed methodology makes exact trade forecasts and helps to conduct strategic industry evaluation properly. Furthermore, the RF performs much better compared to the ANN in terminology of forecast accuracy. Investigate limitations/implications - This analysis provides just one case study to evaluate the proposed methodology. In future scientific studies, the validity of the suggested technique is further generalized in various item groups and nations. Functional implications - In present day extremely competitive business environment, a good strategic industry evaluation involves exporters or importers making much better predictions along with strategic choices. To us the proposed BDA based strategy, businesses may efficiently determine business opportunities and alter their strategic choices appropriately. Originality/value - This's the very first study to provide a holistic methodology for strategic industry evaluation using BDA. The proposed methodology effectively forecasts global trade volumes and helps with the strategic decision making practice through succeeding insights into worldwide marketplaces.
Big data analytics and its impact on efficient banking in Europe-Asia
Authors: Zarah Ameliya Eleanor , Rebecca Georgiana Jane , Winifred Isla Elodie
Published: January 2023

Banking as a comprehensive data topic is constantly evolving under the advertising influences of the era of big data. Checking out the innovative significant details analytic resources as Data Mining methods is crucial for the banking industry, which strives to reveal valuable information from the overwhelming amount of information and achieve much better strategic management as well as client satisfaction. To offer good guidance for future development and research, a most comprehensive current evaluation of the present investigation condition of DM in banking will be incredibly advantageous. Since pre-existing reviews only handle the uses until 2013, this particular newspaper seeks to fill up this particular exploration gap, plus provides the substantial progressions and most recent DM implementations in banking article 2013. By gathering and analyzing the fads of study concentration, information online resources, technical aids, and information analytical resources, this particular newspaper contributes to getting important insights regarding the succeeding advancements of equally DM along with the banking industry, in addition to an extensive 1 stop guide table. Additionally, we identify the primary key obstacles and provide a summary for those interested parties facing the difficulties of big data.
Firm level strategic decision-making with data science & analytics
Authors: Goldstein Michael Sienna
Published: January 2023

Even though the usage of big data will add value for business throughout the whole value chain, the integration of big data analytics on the decision-making process is still a struggle. This particular study, according to an organized literature review, thematic analysis as well as qualitative interview findings, proposes a set of six steps to build each relevance and rigor in the approach of analytics driven decision making. Our findings illuminate the primary key stages in this particular choice process such as issue definition, review of previous results, data collection, model development, data analysis in addition to methods on insights in the context of service methods. Even though results are reviewed in a sequence of actions, the study identifies them as iterative and interdependent. The recommended six step analytics driven decision making process, pragmatic proof from service methods, along with future studies agenda, supply entirely the groundwork for future scholarly research and will function as a step wise guidebook for business practitioners.
How banks are leveraging machine learning: perspective from African banks
Authors: Nwachukwu Abebe Sutukai , Boatengu Kwame Efua
Published: January 2023

In the present day world, a lot of information is generated in each field, and every field, as well as the banking industry, is among them. This data contains valuable information. Hence, it's important to shop, procedure, manage and analyze this information to extract information from it. It helps boost company profit. Banking industry plays a vital role in the country's economy. Customers are the primary advantage of the bank. Thus, it's essential to focus on issues experienced by the banks. Below, we focus on customer retention and fraud detection. In this particular work, supervised synthetic neural community algorithm is implemented for category job.
Factors that attract and motivate South African employees to work within non-metro business banking sectors
Authors: Marigadu Alsten , Hoque Muhammad , Singh Nisha
Published: January 2023

Financial institutions throughout South Africa have faced several challenges over the past decade. One bank, in particular has been highly competitive due largely to the effect of increased quasi-financial organisations in the market. This banking division has been a dominant player in the KwaZulu-Natal region and its presence is especially evident in non-metro areas. Therefore, it is imperative that management and the human resources department identify the pertinent motivating factors which could be incorporated in the formulation of their succession plans. These initiatives could result in existing employees either remaining in or accepting key positions in the KwaZulu-Natal non-metro areas. To identify the factors, a cross-sectional quantitative study was conducted among 125 employees using an online survey. It was found that there was a significant association (p<0.05) between the employment status and certain motivational factors i.e. opportunities to gain experience and job development, career growth prospects and potential promotion and work-life balance. The results suggested that the factors investigated are unlikely to motivate employees from metro areas to take up positions in non-metro areas, whereas in the case of employees in non-metro areas, significant associations can be utilised as motivational factors to take up opportunities in non-metro area.
Research on safety evaluation of assembly building construction by integrating entropy power method and network analysis model
Authors: Li Luying
Published: January 2023

Unlike the traditional construction mode of rough operation, assembly building construction implements the concept of green development in terms of energy consumption and environmental adaptability. Although assembly construction can effectively reduce construction energy consumption and improve the environmental resilience of building construction work, there is an urgent need for an effective safety assessment model for construction development due to the imperfect operation system and harsh construction environment in the construction industry. Therefore, the study analyzes the relationship of construction safety factors by using Analytic Network Process (ANP) to filter safety evaluation indexes according to the importance ranking. At the same time, the objective weights of safety indicators were determined by the entropy weight method, and the subjective weights determined by the ANP method were combined to construct the safety evaluation model for the construction of assembled buildings. The experiment shows that the maximum similarity between the comprehensive evaluation results of the model in the simulation of safety evaluation of high-rise residential construction and the actual evaluation criteria is 0.772. The experiment proves the reliability of the evaluation of the model, which reduces the safety loopholes and operation hazards for the construction of assembled buildings.
DAM BREACH ANALYSIS AND PARAMETER SENSITIVITY ANALYSIS ALONG A RIVER REACH USING HECRAS
Authors: Karki Ashok , Bhattarai Santosh , Joshi Pradhumna , Kafle Mukesh , Bhattarai Rajesh
Published: January 2023

A dam break is a low-probability, high risk catastrophe event that is extremely destructive and has a substantial negative socio-economic impact on downstream and nearby areas. Simulating dam breach and analyzing flood propagation downstream from those events is vital for identifying and minimizing the risks associated downstream of dam location. This study is intended to anlayse the effect of overtopping failure of dam for two scenario  (a) base-case scenario (scenario with average value of dam breach parameters from their range) and (b) worst case scenario (the breach with largest geometry, shortest formation time and highest peak outflow magnitude). Further, a hydrodyanmic modelling is perfomed to  investigate  the sensitivity analysis (local and global) of five dam breach parameters (dam breach elevation, dam breach width, breach formation time, weir coefficient, trigger failure elevation) on breach outflow in a proposed hydropower project located in Nepal. Aeronautical Reconnaissance Coverage Geographic Information System (ArcGIS), Hydraulic Engineering Center River Analysis System (HEC-RAS) and OriginPro 2022b are utilized to analyse the effect of  dam breach and parameter sensitivity.

Generation of outflow hydrograph shows that worst case scenario has devasting effect downstream with innudation of 1047 of househols and 50.83 kilometers of roads. The breach velocty was recorded as 15.16 m/s and 20.85 m/s for base and worst case respectively. The minimum depth and maximum depth of flooding downstream from dam location was found to be 24.51 m and 73.6 m for base case and 47.43 m and 106.75 m for worst case. Due to backwater effect at Bheri river, peak flow at 14 km downstream from dam reduces significantly to 124852.57 m3/s and 244204.41 m3/s for base and worst case respectively. From local sensitivty analysis it has been found that, dam breach elevation is more sensitive and triggering failure elevation is less sensitive for peak outflow hydrograph. Whereas, dam breach width seems more sensitive and TFE seems least sensitive for peak outflow using Monte Carlo Simulation for gloal sensitivity.
STOCHASTIC TRAFFIC DEMAND PROFILE
Authors: Mikolasek Igor
Published: January 2023

Traffic surveys routinely estimate the profile of traffic demand in a certain road section, showing the expected evolution of the demand over a workday or weekend. However, the actual demand fluctuates around this value. That can lead to brief excess of the capacity at the moment of high demand and consequent congestion due to the capacity drop. This type of traffic demand variability has not yet been properly studied despite the fact it can play significant role in traffic modelling and engineering applications. This paper presents results of analysis of demand variability in five-minute aggregation intervals. The results do not clearly show a single random distribution that would accurately model the demand variability. Normal, lognormal and gamma distributions all show reasonably well fit to the data for individual intervals. Based on count of best fits, the lognormal distribution seems best, but in most cases, the difference between the distributions is not statistically significant. There appears to be a pattern where certain distributions have better fit in different times of day and week. The regularity and magnitude of demand (e.g. morning peak hour) probably play a role in this, as well as the aggregation interval.
Experience of Cardiac Rehabilitation in Patients with Coronary Artery Disease: a Qualitative Study
Authors: Lee Seok-Hee , Kim Go-Eun , Pyo Jeehee , Ock Minsu
Published: January 2023

Purpose: In order to improve the quality of cardiac rehabilitation, it is important to examine the experiences of the patients and how they feel about each part of the process. We used a qualitative research methodology to conduct an in-depth review of the experiences of patients who participated in cardiac rehabilitation.Methods: According to semi-structured guidelines, in-depth interviews were conducted with a total of five patients undergoing cardiac rehabilitation.Results: A total of 232 codes was derived; these codes were split into 4 categories and 10 subcategories. Although the patients were apprehensive about the diagnosis of heart disease, it also gave them a chance to reflect on their health behaviors of the past. In addition, they began to appreciate their families and support networks more as the disease progressed. The participants did not know about cardiac rehabilitation until the medical staff recommended it, but they participated in the program with the expectation that they could become healthier. The participants felt that they became more physically and mentally healthy while undergoing cardiac rehabilitation. Rehabilitation served as an opportunity to improve other health behaviors as well. However, they emphasized that it is necessary to continuously maintain improved health behavior, find an exercise method that is suitable for one’s physical ability and not monotonous, and prepare a plan to reduce the time and economic burden of cardiac rehabilitation.Conclusion: The participants' positive experiences confirmed in this study will be used as evidence for the expansion of cardiac rehabilitation programs.
Patient Understanding of Patient Safety: Based on Results from Focus Group Discussion
Authors: Im Jeehye , Ock Minsu
Published: January 2023

Purpose: To examine the degree of recognition regarding the concept of patient safety, as perceived by the patient, using a focus group discussion.Methods: A focus group discussion was conducted with a patient group comprising seven patients.Results: When the participants heard the term “patient safety” they seemed to understand it to be related to the hospital environment or satisfaction with the overall hospitalization experience. The participants emphasized communication between the medical staff and the patients in relation to the explanation of treatments, as well as the provision of information regarding prevention, experience, and the treatment of incidents with patient safety. They agreed on the need for indicators reported by patients. However, they emphasized that additional items and a questionnaire method that considers the patients' point of view are needed.Conclusion: It is necessary to establish and implement various strategies that can raise the awareness of patient safety using patient safety indicators and increase participation in patient safety activities.
Uso potencial de Eucalyptus viminalis Labill. para la captura de carbono en un sistema silvopastoril, Perú
Authors: Marcelo Bazán Fatima Elizabeth , Mantilla Chávez Walter , Baselly Villanueva Juan Rodrigo , Vargas Aldave Juan Carlos , Pajares Gallardo Ulises
Published: January 2023

En la actualidad se hace necesario mitigar la concentración de gases con efecto invernadero, y son escasas las investigaciones realizadas en los Andes peruanos sobre captura de carbono en sistemas agroforestales. El objetivo de esta investigación fue determinar el potencial de almacenamiento de carbono de Eucalyptus viminalis instalado en un sistema silvopastoril junto con otros depósitos en Cajamarca, Perú. La biomasa forestal aérea fue determinada mediante ajustes de modelos, y la necrosada y herbácea mediante muestreos sistemáticos. El carbono almacenado en la biomasa se determinó con la fracción 0.5, y el almacenado en el suelo se estimó a partir de análisis en laboratorio. El Eucalyptus viminalis mostró potencial para capturar carbono en un sistema silvopastoril, debido a su alta capacidad de rebrote, derivada de una elevada densidad poblacional, así como a la efimeridad de sus componentes menores. La especie puede ser un importante reservorio de carbono en un sistema que logra hacer compatibles la producción y conservación.
Estimulación de árboles de caucho bajo diferentes frecuencias de sangría en el Noroeste de Colombia
Authors: Hernández Arredondo Juan David , Monsalve García Danilo Augusto , Guerra Hincapié Juan José , Huertas Beltrán Ruddy Lizette , López Zuleta Santiago , Córdoba Gaona Oscar de Jesús
Published: January 2023

Las plantaciones de caucho natural del Bajo Cauca antioqueño requieren una alta intensidad de sangría. Esto genera un mayor costo de la mano de obra y sobreexplotación, razón por la que se evaluaron parámetros fisiológicos y de producción en árboles de caucho del clon FX3864, los cuales fueron sometidos a distintas frecuencias de sangría y estimulación química en el Nordeste de Antioquia, Colombia. Se comparó la producción de látex y el contenido de sacarosa, fósforo inorgánico, tioles y sólidos totales en plantas estimuladas con etefón al 2.5 % y sometidas a tres frecuencias de sangría (cada dos, tres y cuatro días). La mayor producción de látex se alcanzó en árboles estimulados y sangrados cada cuatro días (170.99 mL d-1 por árbol), sin indicios de sobreexplotación para esta frecuencia. La estimulación y la disminución de la intensidad de sangría del árbol de caucho aumentan el rendimiento sin alteraciones metabólicas significativas.
Micropropagation and Germplasm Conservation of Ficus americana Aubl. and F. obtusifolia Kunth from Lambayeque (Peru)
Authors: Esquerre-Ibañez Boris , Delgado-Paredes Guillermo E. , Rojas-Idrogo Consuelo , Vásquez-Díaz Cecilia , Kuethe J. R.
Published: January 2023

Ficus americana and F. obtusifolia are among the most important tree species in Seasonally Dry Tropical Forests (SDTF) due to their evergreen condition and high levels of biomass. However, the SDTF of Lambayeque and northern Peru is greatly diminishing due to the advance of migratory agriculture, illegal mining, and deforestation. The objective of this work was to study the taxonomic aspects of both species, as well as seed germination, micropropagation, and in vitro germplasm conservation. Seed germination was 100% for both species up to three months after collection. As for micropropagation, rooting, and germplasm conservation, the Piper culture medium was effective, as it was constituted by MS mineral salts with 0.02 mg.L-1 IAA and 0.02 mg.L-1 GA3. In vitro germplasm conservation lasted more than 24 months for both species. Acclimatization under greenhouse conditions reached 50% survival for both species.
Aplicación de diferentes tipos de datos en el modelado de la distribución de especies arbóreas en México
Authors: Gutiérrez Erick , Trejo Irma
Published: January 2023

El objetivo de este estudio fue aplicar diferentes tipos de datos biológicos y climáticos en el modelado de la distribución de cinco especies arbóreas en México (Pinus ayacahuite, Pinus montezumae, Pinus oocarpa, Quercus calophylla y Quercus uxoris). Para el modelado se utilizaron dos tipos de capas climáticas (tipos de clima y variables bioclimáticas) y tres tipos de datos biológicos de colecta (datos de solo presencia, datos de abundancia, y datos de presencia/ausencia). Los resultados muestran que no hay un tipo de datos biológicos y climáticos que se ajuste a todas las especies. Este trabajo evidencia que el uso de un solo tipo de datos puede derivar en subestimación o sobrestimación en las áreas potenciales de distribución.
Software Tool for the Extrinsic Calibration of Infrared and RGBD Cameras Applied to Thermographic Inspection
Authors: Aza Taimal Jaimen Junior , Bacca Cortes Bladimir , Restrepo Girón Andrés David
Published: January 2023

Context:  Thermographic inspections are currently used to assess energy efficiency in electrical equipment and civil structures or to detect failures in cooling systems and electrical or electronic devices. However, thermal images lack texture details, which does not allow for a precise identification of the geometry of the scene or the objects in it.
Method: In this work, the development of the software tool called DepTherm is described. This tool allows performing intrinsic and extrinsic calibration between infrared and RGBD cameras in order to fuse thermal, RGB, and RGBD images, as well as to record thermal and depth data. Additional features include user management, a visualization GUI for all three types of images, database storage, and report generation.
Results: In addition to the integration tests performed to validate the functionality of DepTherm, two quantitative tests were conducted in order to evaluate its accuracy. A maximum re-projection error of 1,47±0,64 pixels was found, and the maximum mean error in registering an 11 cm side cube was 4,15 mm.
Conclusions: The features of the DepTherm software tool are focused on facilitating thermographic inspections by capturing 3D scene models with thermal data.
Análisis de perfil de textura, parámetros colorimétricos y microbiológicos en piña mínimamente procesada con recubrimientos comestibles
Authors: Buelvas-Caro Saul David , Polo Corrales Liliana , Hernández-Ramos Elvis Judith
Published: January 2023

Contexto: La conservación de frutas mínimamente procesadas es un tema muy importante en la industria alimentaria debido al incremento en el consumo de este tipo de alimentos. Esta investigación estudia los efectos que provocan los recubrimientos comestibles a base de aloe vera y almidón de yuca en piña mínimamente procesada. Método: Se evaluaron propiedades como textura y color, y se realizó análisis microbiano después de 12 días de almacenamiento a 4 °C. Se probaron cuatro tratamientos (T1, T2, T3 y T4): piña Oro Miel con soluciones de recubrimiento con diferentes concentraciones de aloe vera/almidón (T1:75/25, T2:50/50, T3:25/75) y un tratamiento control (T4) que consistió en la fruta sin recubrimiento. Los recubrimientos se realizaron sumergiendo la fruta previamente procesada durante 1 min. Resultados: Los resultados indicaron que el tratamiento T2 obtuvo la mejor textura y T4 mostró una mayor luminosidad. Los parámetros microbiológicos se mantuvieron dentro de los establecidos por la Norma Técnica Colombiana (NTC 4519) para fruta mínimamente procesada durante los 12 días de conservación. Conclusión: El recubrimiento comestible puede mantener la textura e inhibir el crecimiento de microorganismos en la piña Oro Miel. Sin embargo, la luminosidad de la fruta puede verse afectada por el uso de estos recubrimientos comestibles.
Prototipo de exploración educativa basada en realidad mixta para cirugía con casco Meta 2
Authors: Aguilar Eliana , Solarte Correa Pedro Luis , Dorado Jesus Humberto , Sabater José María , Vivas Albán Oscar Andrés
Published: January 2023

Contexto: Los cirujanos de intervenciones mínimamente invasivas requieren ampliar la información para realizar las rutas de intervención, este artículo describe un prototipo de realidad mixta de carácter educativo o prequirúrgico que hace uso del Casco Metavisión Meta II. Se crearon objetos 3D de estructuras morfológicas para neurocirugía y laparoscopia a partir de imágenes obtenidas de resonancia magnética MRI y TAC de un paciente real, con el fin de simular el acceso al cerebro y hacer reconocimiento del área abdominal.
Método: Este prototipo tiene un enfoque educativo cuyo objetivo es incentivar el reconocimiento de esquemas morfológicos de órganos, para lo cual se diseñaron tres pruebas. Estas pruebas consistieron en la búsqueda de tumores a través de la navegación y la interacción con un objeto exhibido en el casco de realidad mixta Meta 2. Para el área neurológica se dedicaron dos de las tres pruebas, en las dos primeras pruebas se midió el tiempo de búsqueda con cinco tumores, y para el área abdominal se realizó también una prueba para la búsqueda de dos tumores, diseñándose diversas interacciones en el recorrido espacial del objeto 3D generado, usando pantallas con despliegues de los cortes tomados de imágenes de tomografía computarizada. Posterior al desarrollo de las tres pruebas se realizó un proceso de medición de inmersión a partir del uso de un cuestionario.
Resultados: El 100% de los usuarios encontró altamente interesante la aplicación, en tanto que el 90% expreso que intento fijar su foco de atención en el desarrollo exitoso de la prueba, indicador del nivel de absorción de la aplicación. también el 70% de los usuarios describió su experiencia como de alto nivel de inmersión.
Conclusiones: Las pruebas demostraron que el prototipo es usable, absorbente y con un nivel de inmersión aceptable.
Aplicación de Deep Learning para la identificación de defectos superficiales utilizados en control de calidad de manufactura y producción industrial: Una revisión de la literatura
Authors: Aparicio Pico Lilia Edith , Devia Lozano Paola , Amaya Marroquin Oscar Julian
Published: January 2023

Contexto: Este artículo contiene un análisis de las aplicaciones de las distintas técnicas de Deep Learning y Machine Learning utilizadas en un gran rango de industrias para garantizar el control de la calidad en productos terminados mediante la identificación de los defectos superficiales.
Método: Se desarrolló una revisión sistemática de las tendencias y las aplicaciones de Deep Learning en procesos de calidad, tras la investigación en distintas bases de datos, se filtraron y clasificaron los artículos por industria y técnica específica de trabajo aplicada para su posterior análisis de utilidad y funcionamiento.
Resultados: Los resultados muestran por medio de casos de éxito la adaptabilidad y el potencial de aplicabilidad de esta técnica de inteligencia artificial a casi cualquier etapa de proceso de cualquier producto, esto debido al manejo de técnicas complementarias que se ajustan a las diferentes particularidades que presenten los datos, los procesos de producción y los requerimientos de calidad.
Conclusiones: El Deep Learning en complemento con técnicas como Machine Learning o Transfer Learning genera herramientas automatizadas, precisas y confiables para controlar la calidad de producción de todas las industrias.
Attitudes Towards the Regulation of Family Fertility. Reality and Pastoral Guidelines
Authors: Dudziak Urszula
Published: January 2023

Approval of fertility recognition and opposition to interfering with it have been expressed in many documents of the Church (Pius XI 1930, Paul VI 1968, John Paul II 1988, John Paul II 1995). The question remains: to what extent have the moral principles in the field of transmitting human life been interiorized and implemented? The answer to this question is possible thanks to the analysis of the results of surveys of various social groups. The article encourages spouses and parents, priests and educators, politicians and journalists, academic teachers and medical staff to constantly undertake, and even intensify, support activities in the field of expanding knowledge about the methods of ethical birth control and strengthening the attitude of responsible parenthood.
Samotność człowieka jako doświadczenie osobowe. Próba typizacji zjawiska
Authors: Olearczyk Teresa
Published: January 2023

Celem badawczym pracy jest ukazanie samotności jako doświadczenia osobowego człowieka z perspektywy interdyscyplinarnego ujęcia fenomenu samotności. Zjawisko to zostało zestawione z poczuciem osamotnienia i izolacji. Autorka, realizując postawiony cel badawczy, dąży do typizacji i przez to określenia specyfiki doświadczenia samotności, wyciągając wnioski pedagogiczne. Finalnie stwierdza, że samotność rozumiana w sposób pozytywny, jako świadomy wybór (a nie wykluczenie) jest konieczna do prawidłowego rozwoju człowieka, który czas interakcji z ludźmi powinien przeplatać chwilami ciszy i refleksji pojawiającej się podczas spotkań „z samym sobą”.
Ludzkie ciało i powinność moralna. Artykuł recenzyjny monografii wieloautorskiej
Authors: Olczyk Maciej
Published: January 2023

Celem artykułu recenzyjnego jest krytyczne omówienie i skomentowanie treści zawartych w monografii pt. Integralność ludzkiego ciała jako powinność moralna. Przesłanie moralne Kościoła, która pod redakcją K. Smykowskiego ukazała się na rynku wydawniczym w 2022 roku. W recenzowanej publikacji przybliżono i zanalizowano dwa podstawowe znaczenia, w jakich możemy mówić o zależności wspomnianej w tytule monografii. W artykule ukazano, w jaki sposób pryncypium integralności ludzkiego ciała znajduje zastosowanie w antropologii teologicznomoralnej, bioetyce oraz w wielu innych praktycznych dyscyplinach wiedzy, takich jak: prawo kanoniczne, katechetyka pedagogika, homiletyka i nauki społeczne.
Posługa teologów świeckich w Kościele (perspektywa teologiczno-dogmatyczna)
Authors: Parzych-Blakiewicz Katarzyna
Published: January 2023

W artykule podjęto zagadnienie posługi i tożsamości teologa świeckiego. Ukazanesą one w perspektywie dogmatycznej, utworzonej na koncepcji Kościoła według Vaticanum II. Celem opracowania wybranej kwestii jest uzupełnienie stanu badań, utworzonego z opracowań różnych specjalności, o refleksję teologiczno-systematyczną. Omówiono różnice i podobieństwa między teologiem świeckim a duchownym oraz eklezjalny potencjał posługi teologa świeckiego. Wnioski wskazały na sens tej posługi w działalności Kościoła ad extra. Posługa ta obejmuje dbałość o to, aby we wszystkich sferach ludzkiego życia i działania była realizowana idea królestwa Bożego i Boża wola uświęcenia każdego człowieka.
Udział wiernych świeckich w sądownictwie kościelnym
Authors: Brzemia-Bonarek Aleksandra
Published: January 2023

Celem artykułu jest przedstawienie problematyki realizacji misji apostolskiej świeckich prawników w strukturach sądownictwa kościelnego. Na tle analiz i unormowań o charakterze ogólnym zaprezentowano specyfikę tego zagadnienia w Kościele katolickim w Polsce. Tekst podzielono na trzy części. We wprowadzeniu historycznym ukazano rozwój doktryny Kościoła dotyczącej udziału wiernych świeckich w strukturach instytucji kościelnych, w szczególności w sądach kościelnych. Następnie jako wynik kwerendy dokonanej przez autorkę zaprezentowano stan liczbowy zatrudnionych świeckich w sądach biskupich na terenie Episkopatu Polski. Ostatnia część artykułu to wnioski będące próbą wyjaśnienia zastanej sytuacji zarówno pod względem realiów bytowych (instytucji kościelnych w Polsce jako pracodawcy), jak i nadal ostrożnej recepcji przez polskich katolików myśli Soboru Watykańskiego II w odniesieniu do współuczestniczenia wiernych świeckich w kościelnej władzy rządzenia (potestas regiminis). Na podstawie literatury przedmiotu wskazano teologiczne podstawy słuszności włączania laikatu do struktur zarządzania i administrowania sprawiedliwością w Kościele i odpowiadające tej myśli doktrynalnej obowiązujące powszechne prawo Kościoła.
Religious ritual as a means of forming values and moral attitudes on the basis of the sacrament of baptism
Authors: Gwoździewicz Tomasz
Published: January 2023

The article presents the religious ritual that is the rite of the sacrament of baptism as a means of forming moral values and attitudes. The purpose of the presented research is an attempt to show the formative character of the baptismal ritual and its communicative character, which become apparent through the analysis of the individual components of the baptismal rite. The synthesis made allows for a better understanding of the individual signs, which evoke the specific content of the Christian message of conversion and call for a more conscious following of the path of faith.
Modeling of carbon dioxide and hydrogen sulfide pollutants absorption in wetted-wire columns with alkanolamines
Authors: Jasour Amin , Alizadeh Reza , Ahmadian Hesam
Published: January 2023

In this work, the modeling of flow equations and associated transported phenomena in wetted-wire columns (WWC) has been carried out by using the CFD method. The studied processes in this column included the absorption of H2S and CO2 gases from the gas stream by absorbent solution. In this regard, laboratory results were available only for CO2 absorption in a column with a single wire or 109 wires. Moreover, the fact that modeling of a wetted-wire column needs robust hardware. As a result, firstly, the process of CO2 absorption with monoethanolamine (MEA) solution in a column with a wire was modeled by COMSOL Multiphysics version 5.6. Then, the results of various parameters were compared with laboratory results (the error percentage was calculated to be 2.4%). It was observed that by increasing the liquid flow rate, the distance between the beads decreased and beads with larger diameters and higher velocities formed. Meanwhile, for the first time, the temperature profile inside the column was determined along the column, the temperature of the liquid phase increased. The gas stream after a slight increase in temperature, left the column with a temperature close to the incoming liquid. After model validation, other processes were investigated, resulting from changing desired gas for separation or liquid solution. Finally, different absorbents’ abilities were predicted to absorb gaseous pollutants and obtained that in terms of absorption efficiency, second-type alkanolamines perform better than other types in the simultaneous absorption of CO2 and H2S.
Primate origins of discourse-managing gestures: the case of hand fling
Authors: Patel-Grosz Pritty , Henderson Matthew , Grosz Patrick Georg , Graham Kirsty , Hobaiter Catherine
Published: January 2023

The last decades have seen major advances in the study of gestures both in humans and non-human primates. In this paper, we seriously examine the idea that there may be gestural form types that are shared across great ape species, including humans, which may underlie gestural universals, both in form and meaning. We focus on one case study, the hand fling gesture common to chimpanzees and humans, and provide a semantic analysis of this gesture.
A Billingsley type theorem for Bowen topological entropy of nonautonomous dynamical systems
Authors: Zhang Bin , Liu Lei
Published: January 2023

This article is devoted to the study of the Bowen topological entropy for nonautonomous dynamical systems, which is an extension of the classical definition of Bowen topological entropy. We show that the Bowen topological entropy can be determined by the local entropies of measures for nonautonomous dynamical systems, which extends Ma and Wen’s result.
Versatile generation and manipulation of phase-structured light beams using on-chip subwavelength holographic surface gratings
Authors: Zheng Shuang , Zhao Zhenyu , Zhang Weifeng
Published: January 2023

Phase-structured light beams carrying orbital angular momentum (OAM) have a wide range of applications ranging from particle trapping to optical communication. Many techniques exist to generate and manipulate such beams but most suffer from bulky configurations. In contrast, silicon photonics enables the integration of various functional components on a monolithic platform, providing a way to miniaturize optical systems to chip level. Here, we propose a series of on-chip subwavelength holographic waveguide structures that can convert the in-plane guided modes into desired wavefronts and realize complex free-space functions, including the generation of complex phase-structured light beams, arbitrarily directed vortex beam emission and vortex beam focusing. We use a holographic approach to design subwavelength holographic surface gratings, and demonstrate broadband generation of Laguerre–Gaussian (LG) and linearly polarized (LP) modes. Moreover, by assigning appropriate geometric phase profiles to the spiral phase distribution, the off-chip vortex beam manipulation including arbitrarily directed emission and beam focusing scenarios can be realized. In the experiment, directed vortex beam emission is realized by using a fabricated tilt subwavelength holographic fork grating. The proposed waveguide structures enrich the functionalities of dielectric meta-waveguide structures, which can find potential applications in optical communication, optical trapping, nonlinear interaction and imaging.
Wo Arbeit kein Weg war
Authors: Grelka Frank
Published: January 2023

Zwar ist die nationalsozialistische Judenverfolgung wiederholt als Geschichte des Raubs beschrieben worden, jedoch sind die konkreten Praktiken der Zwangsarbeitswirtschaft bislang nur ansatzweise erforscht. Frank Grelka geht davon aus, dass die Arbeits- und Finanzpolitik der Regierung des Generalgouvernements keiner ökonomischen Rationalität folgte, sondern dass sie am Beginn des Holocaust in Polen stand. Dazu analysiert er am Fallbeispiel Częstochowa und im Vergleich zu Warschau und Lublin, wie die dortigen Judenräte mit den schwindenden Ressourcen ihrer Gemeinden versuchten, der Verfolgung durch lebensgefährliche Zwangsarbeit zu widerstehen. Sie rekrutierten in der Regel nur die bedürftigsten Gemeindemitglieder für die deutschen Zwangsarbeitslager, und es ging ihnen gerade nicht darum, für Beschäftigung zu sorgen, um so Leben zu retten.
transformación de la estrategia de medios desde la irrupción del Branded Content.
Authors: SANCHEZ SERRANO DIANA , ARRANZ RODRÍGUEZ INES , BERGAZ PORTOLÉS MARIA
Published: January 2023

El paradigma comunicacional actual ha dado lugar a nuevos formatos publicitarios. El branded content es una de las disciplinas que está experimentando una mayor extensión, debido a los buenos resultados que obtiene. Por todos es conocido que el éxito de las campañas publicitarias radica, en parte, en la coordinación de las diferentes fases que se abordan para la producción de las mismas, desde la creación del concepto publicitario hasta su difusión en los medios. Lo que pretendemos con este estudio es examinar si el formato publicitario del branded content ha llevado a modificar las estrategias y la planificación en los medios, para lograr mantener la eficacia de las campañas. Para ello, se analiza la campaña “Aprendemos juntos”, de la financiera BBVA, como caso de éxito reconocido por la industria publicitaria, de una campaña de branded content. La investigación se divide en tres fases: en primer lugar, se analiza el contenido de las campañas, a partir de una muestra definida; en segundo lugar, se llevan a cabo entrevistas en profundidad con expertos en la materia y protagonistas del diseño de la estrategia y planificación de medios de la campaña; por último, se realiza un análisis comparativo de la evolución de las tendencias en las estrategias de medios y, en concreto, del caso de estudio. Los resultados del análisis nos llevan a demostrar cómo la integración de nuevos formatos publicitarios está cambiando las estrategias de medios, donde el canal digital adquiere una mayor relevancia en los planes.