bluuebunny/crossref_metadata_2025 huggingface dataset:
Aportaciones criminológicas a la comprensión de la corrupción transnacional
Authors: Olasolo Héctor , Villarraga Zschommler Luisa Fernanda , Linares Botero Sofia
Published: November 2023

El presente artículo estudia diferentes perspectivas criminológicas que ayudan a entender el fenómeno de la corrupción transnacional. Con ese fin se estudiarán, en primer lugar, las características de las sociedades contemporáneas desde diferentes perspectivas criminológicas para, después, explicar cómo estas aportan en el estudio y la comprensión de la corrupción transnacional. Asimismo, se analizarán múltiples perspectivas como la criminología de los poderosos y de los medios de comunicación, la victimología, la criminología verde y del maldesarrollo, los crímenes de la globalización y la macrocriminalidad, entre otros.
La presencia del sikuri metropolitano en las protestas de noviembre del 2020 y dos de sus melodías
Authors: Serrano Finetti Francisco Javier
Published: November 2023

El presente artículo elabora una breve descripción en torno a la práctica del siku y su “artivismo” durante las manifestaciones ocurridas en Lima durante el mes de noviembre del 2020. Se llevará a cabo la transcripción y análisis de dos productos de la actividad del colectivo sikuri metropolitano. Las partituras a continuación también permitirán apreciar el movimiento melódico de la voz (que es similar a lo ejecutado por los sikus) y los bombos. Las letras darán luces sobre los valores que transmiten en su discurso y el análisis musical podrá dar una noción sobre cómo logran mantener la atención del público oyente, si consideramos algunas características propias del instrumento.
Una coreopolítica por amasar
Authors: Calisto Echeveste Emilia
Published: November 2023

En el presente trabajo se da cuenta de parte de los resultados de una investigación etnográfica sobre danza contemporánea, circunscripta a lo que se llamó el circuito del extremo sur de Montevideo, Uruguay. Se presentan indagaciones y conclusiones sobre la potencia estético-política que esta danza presenta cuando es empujada hacia sus bordes disciplinares y cuando se dislocan ciertas estructuras coreográficas heredadas. Asimismo, se reflexiona brevemente sobre las posibilidades de abrir líneas de fuga desde las prácticas dancísticas hacia un campo social ampliado. Se trabajó con la metodología etnográfica y desde una perspectiva fenomenológico-antropológica y el embodiment. Se abordan particularmente dos experiencias en las que la investigadora participó de manera enactiva, articulando lo registrado con los conceptos de micropolítica (Deleuze y Guattari, 2004) y coreopolítica (Lepecki, 2016), entre otros. Se concluye que, cuando la danza contemporánea presenta propuestas coreográficas no policiadas, ciertas/os practicantes materializan una potencia de cambio que para otras/as simplemente permanece en una doxa propia del campo general de la danza.
Imágenes, testimonios y heridas
Authors: Perrone Nicolás
Published: November 2023

El presente trabajo indaga acerca de la poética teatral del grupo Kamar de La Rioja, Argentina. El análisis muestra los intereses estético-políticos que se configuran en sus producciones como parte de una política de la mirada. En este contexto, se analiza la obra Nosotras en el espejo para comprender la síntesis de las investigaciones teatrales del grupo en una pieza particular. La clave de análisis de este montaje gira alrededor de la imagen de la herida, materializada en una producción cuyo origen se encuentra en testimonios de violencia de género. El uso del dispositivo teatral testimonial permite la exploración de un juego de espejos que altera la mirada pasiva del espectador y la transmuta en una mirada emancipada y activa, conjugada en el orden de los afectos y de la acción performática.
Creation in Dance
Authors: Fonseca de Almeida Renata Mara
Published: November 2023

This study starts on the discussion about different ways of seeing. To remove the sense of sight out of the daily function to an aesthetic perception of reality, it presents contributions of authors as Merleau-Ponty (1992), Godard (2004), and Blanchot (2001). In a dialectic relation between see and create, it transforms distinct ways of seeing in an impulse to dance creation. The sight, considered through an esthetical and philosophical perspective, independently if it is a blind person or not, puts the creativity on movement. In this way, some experiments based on the relation between see and move, proposed by the author, are described along the text. The conclusion is that the way of seeing, that is to say, someone’s position in relation to the world, is what allows the creation, and not the physiological condition of sight’s sense.
El camino del/la dramaturgista
Authors: Hernández Aparicio Gabriela Guadalupe
Published: November 2023

El/la dramaturgista suele considerarse como primerx espectadorx de una obra; es unx colaboradorx que observa el proceso creativo y aporta una opinión crítica al trabajo de lxs demás creativxs. Desde esta perspectiva, su trabajo durante la construcción de una obra, contribuye a la observación, documentación, mediación e investigación para propiciar el acto creativo. Ante la insuficiente disponibilidad de referentes teóricos y prácticas latinoamericanas, este texto es un aporte pedagógico, ya que tiene la intención de proporcionar herramientas metodológicas a jóvenes dramaturgistas. El presente trabajo parte de las preguntas ¿Qué colaboradorxs proveen los materiales para la investigación de un proceso creativo? ¿De qué forma es posible observar cuando se está dentro del proceso? ¿Quiénes llevan a cabo un registro de lo acontecido? ¿Con qué propósito? ¿Si todos lxs creadorxs investigan, quién unifica los criterios? ¿Cómo se vinculan las labores de unx dramaturgista con las de otrxs colaboradorxs? A partir de estos cuestionamientos, el texto presenta un método de trabajo impulsado por dramaturgistas. De esta forma, se pretende revelar que la mirada de unx dramaturgista puede nutrir el proceso artístico, ya que, a partir del acompañamiento, fomenta el trabajo en colectivo, construye una memoria y promueve la formulación de pensamiento crítico en función de la conceptualización, la consistencia de la obra y la relación con el público.
ARABIC LITERATURE IN THE ISLAMIC PERIOD: SYI’IR AND NATSAR
Authors: Wati Ella Susila , Imawan Yuli , Tiara Hellen
Published: November 2023

Arabic literature during the Islamic period played a crucial role, serving as a central force in shaping the Muslim community. This research aims to analyze the development of Arabic literature during the Islamic period (shadr Al-Islam) in the forms of syi’ir and natsar. It employs a qualitative descriptive research method with a literature review approach. Data were sourced from journals, books, notes, and other documents related to the development of Arabic literature during the Islamic period. Data were collected through documentation techniques and analyzed using qualitative data analysis methods, including data reduction, data presentation, and drawing conclusions. The research findings indicate that the development of Arabic literature during the Islamic period manifested in the forms of poetry and prose, both of which were present in two periods: the era of the Prophet and the era of the Rightly Guided Caliphs. The main characteristics include the use of language styles that constantly remind of Allah, containing verses of qauliyah and kauniyah. These literary works uphold the principles of amar ma’ruf nahi munkar, enjoining good and forbidding evil, marked by deep compassion and wisdom, reflecting Islamic teachings. The themes often revolve around profound love and devotion to Allah, the Prophet, parents, and dedication to struggles in the path of God. This love extends to encompass all of Allah's creations, reflecting a holistic and inclusive worldview
TANAWWU’ AL-LAKSIMAT AL-‘ARABIYYAT SLANK: DIRASAT HALAT ‘AN AL-LAHJAT AL-‘ARABIYYAT AL-SU’UDIYYAT WA AL-LAHJAT AL-‘ARABIYYAT AL-MISHRIYYAT
Authors: Lillah Furna Khubbata , Bugis Muna Muliadi Siming
Published: November 2023

Dialectology is an interdisciplinary study in linguistics that examines various aspects of language variation. The emergence of dialects often presents a barrier to communication among speakers with different language backgrounds. Therefore, this research is important as a reference for foreign speakers to understand Arabic dialects and can serve as an academic resource for researchers specializing in Arabic linguistics. This study aims to describe the diversity in Saudi Arabian Arabic and Egyptian Arabic dialects and describe the forms and examples of usage of Saudi Arabian Arabic and Egyptian Arabic dialects in informal conversations. The research used a qualitative approach with interview techniques. The data source for this research was native speakers of Saudi Arabian and Egyptian Arabic, and data collection and analysis were performed using note-taking methods. The data analysis involved classifying primary data according to Arabic dialect variations. The research results showed that the existence of variation in Saudi Arabian Arabic and Egyptian Arabic dialects in several aspects, including phonological variation in vowel and consonant sounds, morphological variation such as inflection, derivation, and affixation in past and present tense verbs, syntactic variation, and finally, onomasiological and semasiological variation in Saudi Arabian and Egyptian Arabic dialects. There are forms and examples of the usage of Saudi Arabian Arabic and Egyptian Arabic dialects in informal conversations.or what called idiom.
Translation, Cross-Cultural Adaptation, and Psychometric Evaluation of the Third Version of the Atlanta Heart Failure Knowledge Test
Authors: Ashghali Farahani Mansoureh , Shariatpanahi Shabnam , Shamsi Aziz , Khaleghparast Shiva
Published: November 2023

Background and Purpose:This study is aimed at translating the third version of the Atlanta Heart Failure Knowledge Test (AHFKTv3) into the Persian language and evaluating its psychometric properties.Methods:In this methodological study, the AHFKTv3 was translated into Persian and its face, content, construct validity, and reliability were assessed.Results:The content validity of AHFKTv3 items was >0.78 and the validity of the instrument was 0.96. The standardized factor loading value of all items, except for item 16, was >0.3. The scores of the AHFKTv3 and European Heart Failure Self-Care Behavior Scale had a significant correlation with each other (p< .001). The AHFKTv3 score had a significant relationship with the educational level. The Kuder-Richardson Formula 20 coefficient was 0.908.Conclusion:The Persian AHFKTv3 is a valid and reliable instrument for assessing HF-related knowledge; therefore, it can be used in nursing practice to identify and address the deficits aiming for better patient care and in research to evaluate treatment andhealthcare programs.
Una perspectiva crítico-social sobre la concepción de la alfabetización transmedia
Authors: Pérez-Velasco Andrés
Published: November 2023

El presente artículo tiene como objetivo realizar una mirada reflexiva sobre la conceptualización actual de la alfabetización transmedia (AT) que posibilita tensiones y problematizaciones desde el paradigma investigativo crítico-social, con el apoyo del paradigma histórico-hermenéutico desde la metodología de análisis cualitativo crítico, empleando la técnica de revisión documental. Las categorías analizadas fueron: 1) fin del diálogo sobre AT, 2) usos conceptuales al interior de la AT, 3) la concepción del estudiante en la AT, 4) cómo es asumida la AT por los educadores, y 5) prácticas realizadas por estudiantes en la AT. Como resultado del análisis reflexivo se encontraron, en algunos aspectos teóricos problemáticos sobre la conceptualización del estudiante y su hacer, algunos cambios falentes del enfoque en la AT, y el papel deficiente del educador y familiares en la AT. Por otro lado, se descubrieron dificultades en la asunción de la AT de tipo instrumental positivista en la teoría y las experiencias educativas. Por último, se hallaron prácticas de los estudiantes que dificultan la educación por medio de la AT.
Editorial
Authors: Fernández Morales Flavio Humberto
Published: November 2023

Editorial

La inteligencia artificial y la escritura de artículos científicos

 

La Inteligencia Artificial (IA), busca simular los procesos de la inteligencia humana, tales como: la adquisición de información y reglas para su uso (aprendizaje), el uso de reglas para llegar a conclusiones aproximadas o definitivas (razonamiento) y la autocorrección. La IA es una tecnología de gran impacto en la actualidad, gracias a los avances en informática y computación que permiten la captura, procesamiento y almacenamiento a gran velocidad, de cantidades de información que hasta hace poco eran impensables.

Las herramientas basadas en IA permiten la generación de textos, imágenes, audios y videos, a partir de una serie de comandos brindados por el usuario. En este sentido, la IA se utiliza en áreas tan disímiles como la economía, la educación y la salud, por mencionar algunas, ya que sus herramientas permiten agilizar aquellas actividades que involucran el procesamiento de grandes volúmenes de información, con resultados bastante satisfactorios.

La escritura de artículos científicos también está siendo impactada por los sistemas de IA, ya que pueden analizar grandes cantidades de información, identificar patrones de comportamiento y generar ideas para el desarrollo de un texto académico, lo cual facilita la labor de los investigadores.

Aunque no existe consenso total, entre las aplicaciones de IA que son aceptables en la redacción científica, se tienen aquellas que proporcionan sugerencias de vocabulario, estructura de párrafos y citas bibliográficas. Es decir, se aceptan herramientas que, a partir del contenido original del autor, permiten producir textos más claros y coherentes, a través de la detección de errores gramaticales y de estilo, lo cual contribuye a mejorar la calidad de los escritos académicos.

No obstante, los autores deben considerar que la inteligencia artificial no debe reemplazar el pensamiento crítico y la creatividad propios de la redacción de textos académicos, sino que debe utilizarse como una herramienta complementaria para mejorar y enriquecer los procesos escriturales.

En el presente fascículo, Vol. 13 No. 2, se incluyen doce artículos, los cuales invitamos a consultar y utilizar en sus trabajos académicos. Asimismo, se invita a los interesados en publicar los resultados de sus trabajos de investigación, a que envíen sus manuscritos a la revista. Los requisitos de forma se pueden consultar en nuestra página WEB, en el apartado de instrucciones para los autores, los cuales deben ser atendidos escrupulosamente para reducir los tiempos de evaluación.

 

Cordialmente,

 

FLAVIO HUMBERTO FERNÁNDEZ MORALES

Editor

Revista de Investigación, Desarrollo e Innovación

ISSN: 2027-8306 - ISSN-e: 2389-9417

Universidad Pedagógica y Tecnológica de Colombia
La especificación del trabajo desde la perspectiva de sus partes interesadas: el caso del guardia de seguridad
Authors: Contreras-Pacheco Orlando Enrique , Reyes-Rodríguez Juan Felipe , Martínez-Ardila Hugo Ernesto
Published: November 2023

Partiendo de la identificación de requerimientos necesarios para un cargo, el presente estudio tiene por objeto proponer el diseño de especificación del trabajo genérico de un guardia de seguridad. Para ello, se diseña una investigación cualitativa de naturaleza deductiva, basada en la recolección de datos a través de entrevistas semi-estructuradas. El trabajo de campo se lleva a cabo sobre 22 representantes de las partes interesadas del trabajo de guardia de seguridad en el nor-oriente de Colombia. Posteriormente, mediante un análisis de contenido de aproximación directa, se obtiene un planteamiento estructurado del perfil respectivo. El estudio encuentra que los requerimientos del trabajo de guardia de seguridad trascienden los conocimientos y habilidades básicas en normativa, atención y manejo de armas, ya que resulta primordial poseer una tendencia hacia una personalidad escrupulosa, además de requerir una serie de aptitudes emocionales específicas para ejercer adecuadamente el trabajo respectivo.
Usos educativos de TIC en docentes rurales de Colombia
Authors: Uribe-Zapata Alejandro , Zambrano-Acosta Juan Fernando , Cano-Vásquez Lina María
Published: November 2023

El presente artículo analizó los usos educativos de las TIC en docentes rurales de Colombia. Se utilizó un diseño cuantitativo y un instrumento que abordó lo siguiente: caracterización, conectividad privada, uso pedagógico del móvil e internet en la práctica docente, móvil e internet en el aula y nivel de competencias en TIC. La muestra estuvo conformada por un total de 241 docentes rurales del departamento de Antioquia, Colombia. Los resultados muestran que la mayoría de docentes rurales tienen entre 31 y 45 años, que son mujeres, que el nivel en términos de formación posgraduada es bajo, que el uso de los dispositivos móviles es prácticamente universal, que hay un mayor uso educativo de las TIC para la gestión de la enseñanza durante la planeación y menos en la evaluación y que la mayoría de docentes rurales está en el nivel explorador.
Validation of a questionary for measuring corbicular pollen consumer preferences via structural equations models
Authors: Cepeda-Araque Carmen Helena , Cárdenas-Ojeda Sandra Patricia , Alarcón-Guarín Reinaldo , Martínez-Niño Carlos Alberto
Published: November 2023

Boyacá is one of the main bee pollen (or corbicular pollen) producers in Colombia. However, pollen consumer preferences in this region are unknown; therefore, there is no background to develop marketing strategies aiming at profiting beekeepers and consumers. This study presents the design and statistical validation of a questionary to assess the preferences of bee pollen consumers and the model that supports the relationships between the constructs characterizing them. Model development was based on the premise that pollen quality perception affects consumer satisfaction. To test this premise, a reflexive measure model was used to design the Pollen Preferences Determination Questionary (PPDQ). Data from a pilot sample were used to evaluate the measure and structural models via structural equations models fitted through partial least squares (SEM-PLS).  The results showed the validity of the PPDQ since the indicators load its constructs appropriately, particularly for satisfaction and intrinsic quality.
Modelo de interpretación de lengua de señas colombiano usando inteligencia artificial
Authors: Muñoz-Galindez Jader Alejandro , Vargas-Cañas Rubiel
Published: November 2023

En este trabajo se presentan dos modelos de interpretación de Lengua de Señas Colombiana (LSC), usando métodos estáticos y dinámicos que emplean inteligencia artificial. Se utilizó como referente la metodología CRISP-DM, creando una base de datos con videos de setenta participantes no expertos, siendo preprocesados y posteriormente divididos en proporciones de 70% - 30% para entrenamiento y prueba, respectivamente. El repositorio se nombró como LSC-W70 y se empleó sobre un modelo preentrenado de redes neuronales convolucionales y otro en combinación con redes LSTM. Los resultados alcanzaron un 67% y 76% accuracy para los modelos estático y dinámico, respectivamente, donde el modelo dinámico presenta mejoras en señas similares identificando la dirección del movimiento para definir el tipo de seña. En este sentido, se desarrolló una herramienta de interpretación dinámica de lengua de señas colombiano que ayuda a cerrar brechas de comunicación generando igualdad entre las personas.
The surgical management of frontal branch of the facial nerve injuries
Authors: Nordin Mohamad Nazmi , Pescarini Elena , Kannan Ruben Yap
Published: November 2023

Aim: The frontal branch of the facial nerve is particularly vulnerable to traumatic injury or during surgery. While the larger branches of the facial nerve, such as the buccal branch, are more easily identifiable and amenable to repair, the repair of the frontal branch is not common due to its complex branching pattern and smaller size. The description of the surgical approach to repair the frontal branch of the facial nerve is limited in the literature. In this study, we aim to explore the outcomes of patients who underwent frontal branch facial nerve repair in our centre.

Method: In a retrospective case review at a single, tertiary Plastic Surgery centre, we performed frontal branch repair for eight patients (n = 8) who sustained complete or partial division of the frontal branch of the facial nerves. These patients were followed up postoperatively and assessed with the Sunnybrook Facial Grading System.

Results: Using super microsurgical techniques, primary nerve coaptations, fascicular nerve flaps, and direct neurotisations were performed. All eight patients (100%) demonstrated improvements in terms of resting brow symmetry. There was a significant improvement in brow and frontalis function following surgical repair of the frontal branch, with 87.5% (seven patients) demonstrating improvement in forehead movement.

Conclusion: In this case series, we demonstrated that the repair of the frontal branch of the facial nerve is relevant, with reasonably good functional outcomes. Repair of the frontal branch of the facial nerve should ideally be done as early as possible following the injury. Nevertheless, delayed repair may still be beneficial within 18 months after the injury.
Construction of Transformer Fault Diagnosis and Prediction Model Based on Deep Learning
Authors: Li Xiaomeng
Published: November 2023

The current intelligent diagnosis and prediction methods for transformer faults are prone to low diagnostic accuracy and insufficient trend prediction ability when the fault categories are imbalanced. Therefore, a fault diagnosis and prediction model for transformers was constructed using a deep learning framework. The fault diagnosis model was constructed using a focus loss stack sparse noise reduction autoencoder on the deep learning framework. The prediction model was constructed by fusing long and short term memory networks on the basis of tree structure Parzen optimization, and the two models were validated. The results obtained through validation of the diagnostic model indicate that, when the actual hidden layer is set to 3 and the quantity of neurons is 58, the model accuracy during training and testing reaches 97.5% and 92.5% respectively. After adding 0.001 times the Gaussian white noise, the model accuracy was significantly lifted, so this study set the Gaussian noise coefficient to 0.001. In the comparison with baseline models, the actual classification ability of the research model samples is strong, significantly improving the fault diagnosis ability. In the validation of the prediction model, the three error index values of the research model in the single prediction step of CH4 concentration were 0.0699, 0.0540, and 0.8481%, respectively, and proved to be were lower than in the case of the baseline model. The three error values in the two-step prediction are 0.0194, 0.0161, and 0.6535%, which are also lower than in case of the baseline model. Overall, the diagnosis and prediction model proposed in this paper can provide real-time future numerical predictions of dissolved gas analysis and monitoring data in transformer oil. Furthermore, the research outilnes the future development trend of monitoring and measurement through application of tensor flow deep learning framework in transformer fault diagnosis. The attained prediction results are innovative, and could well complete the purpose of actual transformer fault diagnosis and early warning.
Rational Vaccine Design for SARS-CoV-2 Virus—A Systematic Review
Authors: Ghosh Aritra , Pavlovic Mirjana , Larrondo-Petrie Maria M.
Published: November 2023

The COVID-19 pandemic has significantly impacted global health and economies, necessitating the development of effective vaccines against the novel virus. Understanding the structure and function of SARS-CoV-2 is crucial for rational vaccine design. The virus consists of several key proteins, including the spike protein, envelope protein, membrane protein, and nucleocapsid protein. The spike protein plays a crucial role in host cell entry by binding to the angiotensin-converting enzyme 2 (ACE2) receptor on human cells. The replication of the virus within host cells is facilitated by various viral proteins, such as the RNA-dependent RNA polymerase (RdRp) and the main protease (Mpro). Rational vaccine design strategies for SARS-CoV-2 primarily focus on targeting the spike protein due to its role in host cell entry. However, developing vaccines against this protein is challenging due to its highly mutable nature and potential conformational changes. Alternative strategies involve using other viral proteins, such as the nucleocapsid protein, which is conserved and essential for viral replication. Considering T-cell responses in vaccine design is also vital as they play a vital role in controlling viral infections. Vaccines that elicit both antibody and T-cell responses are more likely to provide robust and durable immunity against SARS-CoV-2. Advancements in rational vaccine design for SARS-CoV-2 include mRNA-based vaccines, viral vector-based vaccines, and protein subunit vaccines. However, challenges remain in developing a universally effective vaccine, including the emergence of new SARS-CoV-2 variants and mutations that may affect the efficacy of existing vaccines. In conclusion, rational vaccine design for SARS-CoV-2 requires a comprehensive understanding of the virus's structure and function, targeting key viral proteins, and considering T-cell responses.
The Decomposition of Polyurethane and Fire Retardants: A Review
Authors: Peck Gabrielle
Published: November 2023

Polyurethane is used extensively in the furniture industry, primarily in beds and sofas. There is a significant volume of research pertaining to the flammability of polyurethane materials, but very little regarding smoke toxicity. Given toxic fire effluents are a primary cause of injury and fatalities, more work needs to be done to test the toxicity of polyurethane materials and the fire retardants they are coated/bound with. The aim of the review is to provide a comprehensive analysis of the decomposition of polyurethane and discuss the development and application of modern fire retardants and their effect on smoke toxicity. This work then provides discussion on the challenges faced when attempting to quantify the toxicity of the effluent produced during combustion. Future work should aim to reduce the toxicity and flammability of polyurethane simultaneously by; reducing the pyrolysis of the polymer, preventing the escape of volatile products, reducing radicals within the system and lowering the temperature of the system. Before this can be achieved, a better understanding of smoke toxicity and the ability to test materials is needed.
Graph-based Neural Networks Framework using Microcontrollers for Energy-Efficient Traffic Forecasting
Authors: Zoican Sorin , Zoican Roxana , Galatchi Dan , Vochin Marius-Constantin C
Published: November 2023

The paper illustrates a general framework in which a neural network application can be easily integrated and proposes a traffic forecasting approach that uses neural networks based on graphs. The method minimizes the communication network (between vehicles and the database servers) load and represents a reasonable trade-off between communication network load and forecasting accuracy. Traffic prediction leads to the choice of less congested routes and therefore to the reduction of energy consumption. The traffic is forecasting using a LTSM neural network with a regression layer. The inputs of the neural network are sequences - obtained from graph that represent the road network - at specific moments of time that are read from traffic sensors or the outputs of neural network (forecasting sequences). The input sequences can be filtered to improve the forecasting accuracy. This general framework is based on Contiki IoT operating system that ensure support for wireless communication and efficient implementation of processes in a resource constrained system and it is particularized to implement a graph neural network. Two cases are studied: one case in which the traffic sensors are periodically read and the other case in which the traffic sensors are read when their values changes are detected. A comparison between the cases is made and the influence of filtering is evaluated. The obtained accuracy is very good, very close to the accuracy obtained in infinite precision simulation, and the computation time is low enough and the system can work in real time.
Analysis of Motion Mechanism and Steel Catenary Riser Failure Probability of the Semi-submersible Platform under the Mooring Line Failure
Authors: Cheng Siyuan , Yu Yang , Cui Yupeng , Wu Shibo , Zhao Mingren , Yu Jianxing , Yang Zhenglong
Published: November 2023

With the global warming and the frequent occurrences of harsh environments, mooring line failures are frequent. Response analysis of the platform structure and its residual mooring system under multiple mooring line failures is needed. Therefore, it is necessary to investigate the change law of platform motion response after mooring line failure to find out the reasons for the change. Studies for different failure combinations of mooring lines show that the variation of the steady-state equilibrium position of the platform is closely related to the stiffness, with a clear functional. The duration and amplitude of the transient response are mainly influenced by the Morison drag force. And it was found that the suspended mooring line reduced the motion responses. It is also found that the mooring line failure increased the effective tension and suspension length of the riser. Based on the improved Dezert-Smarandache theory (DSmT), it is calculated that mooring line failure has little effect on the failure probability in different zones of the riser.
In Silico Exploration of Bisphosphonate Scaffolds as Potential Inhibitors of SARS-CoV-2 RdRp for COVID-19 and PASC
Authors: Mohammed Muzaffar-Ur-Rehman , Chougule Kishore Suryakant , Ala Chandu , Kuthe Pranali Vijaykumar , Garg Mohit , Sankaranarayanan Murugesan , Vasan Seshadri S
Published: November 2023

The novel coronavirus disease (COVID-19) pandemic has resulted in over 720 million confirmed cases and 7 million deaths worldwide, with insufficient treatment options. Innumerable efforts are being made around the world for faster identification of therapeutic agents to treat the deadly disease. Post-acute sequelae of SARS-CoV-2 infection or COVID-19 (PASC), also called Long COVID, is still being understood and lacks treatment options as well. A growing list of drugs are being suggested by various in silico, in vitro and ex vivo models, however currently only two treatment options are widely used: the RNA-dependent RNA polymerase (RdRp) inhibitor remdesivir, and the main protease (MPro) inhibitor nirmatrelvir in combination with ritonavir. Computational drug development tools and in silico studies involving molecular docking, molecular dynamics, entropy calculations and pharmacokinetics can be useful to identify new targets to treat COVID-19 and PASC, as shown in this paper. We have investigated bisphosphonates which can bind competitively to nidovirus RdRp-associated nucleotidyl (NiRAN) transferase domain, and systematically downselected three candidates (CHEMBL196676, CHEMBL164344, and CHEMBL4291724) that show sufficient in silico promise to warrant further investigation in in vitro and ex vivo models.
Construction Site Hazard Identification and Worker Adverse Reaction Monitoring Using Electroencephalograms: A Review
Authors: Wei Boan , Yang Bin , Zhang Weiling , Liu Pengju , Fu Hanliang , Lv Zhihan , Wang Faming
Published: November 2023

Construction safety is especially important because the construction industry is so important to a country's development. Significant research and practice have been conducted to mitigate potential risks during construction and improve worker efficiency. With the rapid advancement of cognitive neuroscience and the incorporation of medical technology in recent years, various wearable monitoring devices have been widely used in the construction field for real-time monitoring of workers' physical and mental status. Among these, the use of EEG (Electroencephalogram) in construction environment research allows researchers to gain insight into the physical and mental states of construction workers while performing construction tasks. This review introduces EEG technology and portable EEG devices, followed by an overview of their use in both monitoring workers' adverse reactions and identifying hazards on construction sites, providing an effective guide for EEG research in the construction field and on-site safety management.
MrisNet: Robust Ship Instance Segmentation in Challenging Marine Radar Environments
Authors: Ma Feng , Kang Zhe , Chen Chen , Sun Jie , Deng Jizhu
Published: November 2023

In high-traffic harbor waters, marine radar frequently encounters signal interference stemming from various obstructive elements, thereby presenting formidable obstacles in the precise identification of ships. To achieve precise pixel-level ship identification in the complex environments, a customized neural network-based ship segmentation algorithm named MrisNet is proposed. MrisNet employs a lightweight and efficient FasterYOLO network to extract features from radar images at different levels, capturing fine-grained edge information and deep semantic features of ship pixels. To address the limitation of deep features in the backbone network lacking detailed shape and structured information, an adaptive attention mechanism is introduced after the FasterYOLO network to enhance crucial ship features. To fully utilize the multi-dimensional feature outputs, MrisNet incorporates a Transformer structure to reconstruct the PANet feature fusion network, allowing for the fusion of contextual information and capturing more essential ship information and semantic correlations. In the prediction stage, MrisNet optimizes the target position loss using the EIoU function, enabling the algorithm to adapt to ship position deviations and size variations, thereby improving segmentation accuracy and convergence speed. Experimental results demonstrate that MrisNet achieves high recall and precision rates of 94.8% and 95.2%, respectively, in ship instance segmentation, outperforming various YOLO and other single-stage algorithms. Moreover, MrisNet has a model parameter size of 13.8M and real-time computational cost of 23.5G, demonstrating notable advantages in terms of convolutional efficiency. In conclusion, MrisNet accurately segments ships with different spot features and under diverse environmental conditions in marine radar images. It exhibits outstanding performance, particularly in extreme scenarios and challenging interference conditions, showcasing robustness and applicability.
Crack Propagation Law of Reinforced Concrete beams
Authors: Yang Yuqing , Yang Hongyue , Fan Zhong , Mu Zai gen
Published: November 2023

The insufficient toughness of concrete can lead to the occurrence of crack expansion, ultimately resulting in a decline in the physical and mechanical properties such as bearing capacity and deformation characteristics of structural components. In severe cases, this may lead to brittle failure, where the entire structure and system fail suddenly without significant deformation after being stressed. Additionally, during the process of shear and bending failure of reinforced concrete beams, the cracks generated on the side of the beam are mostly I-II composite cracks. Considering the material nonlinearity and geometric irregularity of reinforced concrete, it is of great significance to study the dynamic evolution law of crack expansion in reinforced concrete members. Based on experimental data, this paper aims to utilize the nonlinear finite element simulation software Abaqus to conduct finite element simulations of crack expansion in simple supported reinforced concrete beams. By accurately controlling the constitutive curves of concrete and reinforcement materials, the design of seismic performance of structural members can be enhanced, thereby making essential contributions to the preliminary analysis of actual crack control engineering. The nonlinear finite element results indicate that the joint cracks of the frame with the floor slab primarily manifest as flexural cracks, with the concrete damage degree of the floor slab being higher than that of the beam. This finding underscores the importance of considering the behavior of concrete and reinforcement materials in designing for seismic performance and crack control in actual engineering applications.
Karakteristik Beras Analog dari Tepung Komposit (Mocaf: Sagu: Kedelai: Daun Kelor) dengan Penambahan Karagenan
Authors: Jariyah Jariyah , Vestra Alodia
Published: November 2023

Analog rice is an alternative food to replace rice using sago, sorghum, or even corn with carbohydrate content near or exceeds the rice and the shape. Analog rice made from mocaf flour has a lower protein content than milled rice, so it is necessary to add soy flour which has 35.00% of protein content, sago flour which has 21.38% of amylose content, and Moringa leaves flour which has an antioxidant activity of 32.96%. Carrageenan is also added to the mixture as a binder. The aim of the study was to determine the effect of the proportions of composite flour (mocaf: sago: soybean: moringa leaves) with the addition of carrageenan on the characteristics of analog rice. Completely randomized factorial design was used in this study with the first factor proportion of mocaf: sago: soybean: moringa leaves flour such as A (70: 10: 20: 3.5gr), B (60: 20: 20: 3.5 gr), and C (50: 30: 20: 3.5gr) with the second factor the addition of carrageenan (2, 3 and 4%). The data were analyzed using Minitab V.17, with 5% DMRT (Duncan Multiple Range Test). The best results for analog rice were obtained from proportion A (70: 10: 20: 3.5 gr) with the addition of 3% carrageenan with characteristics 3.22% of moisture, 2.83% of ash, 145.33% of rehydration power, 106.25% of swelling volume and 12.5% of antioxidant activity, with organoleptic score 3.10 of taste, 3.55 of colour; 3.38 of flavor; and 3.10 of texture.
Evaluation of the Growth and Yield of Organic Corn Fodder under Various Watering Times and Concentrations of Rabbit Urine Fertilizers
Authors: Widayati Okti - , Syaefullah Bangkit Lutfiaji , - Sritiasni - , Zurahmah Nani - , - Aswandi - , - Irma -
Published: November 2023

Organic Fodder System is a planting system without using soil as its main medium. The use of fertilizers can be regulated in quantities and concentrations that correspond to the needs of plants during the plant growth season to obtain optimal results with good quality. The study was conducted to determine corn fodder's growth productivity and nutrient content under the treatment of differences in watering time and rabbit urine fertilizer concentration. The treatment was carried out on the difference in the soaking solution of corn kernels and the difference in the watering time of corn seedlings. Soaking was carried out by 5 solutions namely L0: water, L1: AB mix (commercial fertilizer) 1%, L2: rabbit urine fertilizer 1%, L3: rabbit urine fertilizer 2.5%, L4: rabbit urine fertilizer 5%, as treatment, and 5 (five) replication groups. Watering was carried out at three different time intervals (W1: 6 hours/day, W2: 9 hours/day, W3: 12 hours/day) with five replication groups. The variables observed were germination percentage, normal sprout percentage, corn fodder height, fresh fodder production, fodder dry matter production, fodder protein content, fodder crude fiber content, fodder crude fat content, Non-Nitrogen Free Extract (NNFE), and corn fodder ash content. The experimental design used in this study was a Completely Randomized Design of factorial patterns. Differences in rabbit urine fertilizer concentration and watering time impact germination percentage, normal germination percentage, plant height, fresh matter production, dry matter production, protein content, and crude fiber.
Academic Faculty Demonstrate Weak Agreement in Evaluating Orthopaedic Surgery Residents
Authors: Bradley Taylor R. , Jacobs Cale A. , Muchow Ryan D.
Published: November 2023

Background:

As objective metrics fade, subjective elements of orthopaedic surgery applicants carry increasing importance during recruitment. Academic orthopaedic surgeons believe they can select for high-performing orthopaedic residents. However, can they agree? The purpose of this study was (1) to analyze an academic orthopaedic surgery department to determine whether they agree on which residents performed best during residency and; (2) to correlate preresidency and intraresidency factors with postresidency evaluations of resident performance.

Methods:

With Institutional Review Board [IRB] approval, an orthopaedic surgery department completed surveys to evaluate residency performance for 10 years of graduated residents (2012-2022). Faculty determined (1) Post-Residency Class Rank (PRCR)—ranked from the highest (1) to lowest performing resident (5) relative to their class based on faculty perspective of performance—and (2) Rank List Score (RLS)—ranked based off the 5-point AOA SLOR used during recruitment interviews. RLS assessed how likely the department would have graduates in the program again based on residency performance. Free marginal Cohen's kappa statistics assessed faculty inter-rater agreement. Preresidency metrics (United States Medical Licensing Exam [USMLE] 1 and 2 scores, research publications, etc) were correlated with Orthopaedic In-Training Exam (OITE) scores, research productivity, American Board of Orthopaedic Surgery (ABOS) scores, and faculty-derived rankings. Linear regressions with forward variable entry (p < 0.05) were used to determine factors associated with excellent resident performance.

Results:

Eighteen of 25 faculty members (72%) provided survey responses evaluating 46 residents. Faculty agreed 37% and 38% of the time for PRCR (kappa 0.26) and RLS (kappa 0.23), respectively. Step 2 score was the only preresidency factor significantly associated with PRCR (p = 0.03, r2 = 0.15) and RLS (p = 0.02, r2 = 0.3). The only intraresidency factor significantly correlated with PRCR (p = 0.002, r2 = 0.50) and RLS (p = 0.01, r2 = 0.39) was PGY-4 OITE score.

Conclusions:

An academic orthopaedic surgery department is able to come to a consensus on evaluations of residency performance relative to peers in the same year of training (PRCR) and an objective standard (RLS). Step 2 and Post-Graduate Year (PGY)-4 OITE scores were the only preresidency and intraresidency factors with significant association to higher postresidency, faculty-derived performance scores.

Level of Evidence:

III.
Diet composition and reproductive biology of spineless cuttlefish Sepiella inermis (Orbigny, 1848) from Ratnagiri (Arabian Sea, North-west coast of India)
Authors: Mahadwala P. L. , Nirmale V H , Metar S. Y. , Bhosale B P , R. A. Pawar  , Chogale N D
Published: November 2023

In the present study, we investigated some biological aspects of the spineless cuttlefish,Sepiella inermis (Orbigny, 1848) along the Ratnagiri coast of Maharashtra, India. A study ondiet composition and reproductive biology of the species was carried out. Dorsal mantlelength (DML) ranged from 35.9 to 93.3 mm for males and 29.3 to 98 mm for females.Feeding intensity was noted to be low during most of the study period. S. inermis was foundto have a protracted spawning season. The overall male: female ratio was 1:1.02 during thestudy period. The average fecundity was found to be 358 eggs. Length at sexual maturitywas estimated to be 42 mm and 53 mm for males and females respectively. The informationobtained from the study will help the fishery agencies to formulate management measuresin sustaining the landings of S. inermis in the region.
Keywords:Biological studies, Cephalopods, Maharashtra,Ratnagiri coast, Sepiella inermis, Spinelesscuttlefish
Fishery, systematics and stock dynamics of billfishes landed along the Indian coast
Authors: S. Surya  , R. Prathibha  , E. M. Abdusammad  , T. L. Asha  , B. Santhosh  , B. B. Nayak  , N. S. Jeena  , K. G. Mini  , Shubhadeep Ghosh  , J. H. Kingsly  , P. Abdul Azeez  , C. Anulekshmi  , R. Karankumar  , J. M. Ponni  , G. Angel  , M. K. Anil
Published: November 2023

Sailfishes, marlins, spearfishes and swordfishes commonly referred to as billfishes are highlymigratory species, with a worldwide distribution in tropical and subtropical oceans. Thelandings of billfishes along the Indian coast registered an increasing trend with an estimatedlanding of 14,759 t in 2019. Kerala (41%) contributed the maximum followed by Tamil Nadu(28%), Andhra Pradesh (18%), Gujarat (8%) and Maharashtra (2%) to the total billfish landingsduring the last decade. Mechanised gillnetter cum hook and line was the major gear landingbillfishes. The major species landed during 2012-2019 were Istiophorus platypterus (52.2%),Istiompax indica (21.1%), Makaira nigricans (7.3%), Xiphias gladius (17.2%) and Kajikia audax(2.3%). Four of these species could be easily distinguished by COI barcodes but, the stripedmarlin, K. audax showed high sequence similarity with K. albida and cannot be distinguishedby barcodes alone. Control region (889 bp) provided a better phylogenetic signal, consistentwith that of the whole mitochondrial genome topology. The stock status plots of billfishesdepicted that, all the species were in the developing and exploited phase. Growth, mortalityand exploitation rates estimated for four billfishes indicated that the present fishing ratesand biomass levels are at safe levels and there is considerable scope for enhancing theirfishery.
Keywords:CO1 barcodes, Exploitation rate, Large pelagics,Life history, Stock status plots
Factores que propician el padecimiento de pie diabético: un análisis discriminante
Authors:   Escuela Psicología- Universidad Católica Andrés Bello, Rondón Bernard José Eduardo ,   nstituto de Psicología-Universidad Central de Venezuela, Cardozo Quintana Irama ,   Instituto de Psicología-Universidad Central de Venezuela
Published: November 2023

El pie diabético es una complicación crónica de la diabetes que impacta negativamente la ca-lidad de vida de los pacientes y su desenvolvimiento en general por lo que conocer las variables que lo predicen es relevante para su prevención y abordaje. Objetivo: Determinar si el sexo, el tiempo con diagnóstico, las estrategias de afrontamiento y la adherencia al tratamiento permiten discriminar a los pacientes que presentan pie diabético de aquellos que no lo presentan. Método:Se realizó un estudio no experimental con un diseño transeccional-causal, empleando un muestreo no probabilístico de tipo propositivo para seleccionar 110 personas con edades comprendidas entre 26 y 85 años con diagnóstico de DM2, con mínimo 1 año con diagnóstico (50 con pie diabético y 60 sin esta complicación) que asistían al Hospital Militar de Caracas “Dr. Carlos Arvelo”. Se aplicó el cuestionario de Estrategias de Afrontamiento y el Instrumento para Medir el Estilo de Vida en Diabéticos (IMEVID). Resultados: En el análisis discriminante el grupo con pie diabético presenta menor característica de la función (centroide de -0.76), mientras que el grupo sin pie diabético po-see un centroide de 0.64, lo que implica que este último grupo posee mayor cantidad de mujeres con mayor adherencia al tratamiento y con menor tiempo de diagnóstico. Los resultados de clasifi-cación indican que el 77. 3% de los casos fue clasificado correctamente, superando lo esperado por azar. Conclusión: Ser mujer con mayor adherencia al tratamiento y menor tiempo con diagnóstico constituye un menor riesgo de presentar pie diabético.