bluuebunny/crossref_metadata_2025_split huggingface dataset:
GRADUADOS EN EDUCACIÓN SUPERIOR EN COLOMBIA 2017-2018
Authors: Rincón-Báez William Umar , Becerra Plaza Gisèle Eugenia , Arias-Velandia Nicolas 
Published: February 2024

Este decimoséptimo boletín del Observatorio de Ciencias Administrativas de ASCOLFA analiza los datos de graduados de las instituciones de educación superior en Colombia entre 2015 y 2018 con base en datos del Sistema Nacional de Información de la Educación Superior – SNIES- del Ministerio de Educación Nacional de dicho país. Se revisarán algunos aspectos como la variación de dichos datos por Departamentos, por origen de las instituciones, por nivel de formación, especialmente del nivel universitario, por Área de formación, por metodología del programa y al final se realizará un análisis más específico del Área de Economía, Administración, Contaduría y afines. Todos estos datos se comparan entre las bases de datos de información de graduados de 2015 a 2018
CREATIVIDAD E INNOVACIÓN PARA EL EMPRENDIMIENTO EN INVESTIGACIÓN DE LOS ESTUDIANTES DE LA UNIVERSIDAD DE CUNDINAMARCA- EXTENSIÓN FACATATIVÁ
Authors: Giraldo Duque César Augusto , Manjarrés Zárat Benjamín Andrés , Vanegas Flórez Oswaldo 
Published: February 2024

La creatividad y la innovación se han considerado factores clave de éxito para el emprendimiento asociado con la creación de empresas y el desarrollo de ideas de negocio que permitan satisfacer necesidades particulares. Sin embargo, estos elementos críticos también pueden contribuir al emprendimiento orientado al desarrollo de nuevos proyectos, que no tienen que ver necesariamente con la generación y

estructuración de oportunidades de negocio, sino que también aportan significativamente al desarrollo de proyectos de investigación, los cuales permitan generar conocimiento tanto en la academia como en las organizaciones. El presente artículo denota la caracterización del nivel de creatividad e innovación desarrollado por los estudiantes de la Universidad de Cundinamarca, Extensión Facatativá, en términos de las siguientes dimensiones: nuevas ideas para generación de conocimiento, identificación y solución de problemas, generación de ideas originales, actitud creativa, adaptación al cambio y propensión al riesgo. De este modo, se concluye que, al analizar las dimensiones de la creatividad e innovación para el emprendimiento en investigación, el nivel de percepción es medio, lo que permite establecer que los estudiantes no tienen plena consciencia de sus habilidades creativas e innovadoras, gracias a los temores, inseguridades y demás barreras internas que inciden en sus actitudes y comportamientos frente a la investigación. Es así como, desde la academia, y más específicamente desde los procesos misionales de Formación y Aprendizaje, así como, Ciencia, Tecnología e Innovación, se debe incentivar y alentar en los estudiantes el espíritu creativo, el cual le permita liderar procesos de generación de nuevo conocimiento.
ANÁLISIS DE GRUPOS DE INVESTIGACIÓN CONVOCATORIA 2018 COLCIENCIAS
Authors: Rincón-Báez William Umar , Becerra Plaza Gisèle Eugenia , Arias-Velandia Nicolas 
Published: February 2024

En el boletín decimonoveno del Observatorio de Ciencias Administrativas de ASCOLFA, se realiza el análisis de los resultados de los Grupos de Investigación e Instituciones universitarias que fueron avalados en la “Convocatoria Nacional para el Reconocimiento y Medición de Grupos de Investigación, Desarrollo Tecnológico o de Innovación (GIDToI) y para el reconocimiento de Investigadores del SNCTEI -2018”, a partir de los listados de resultados finales de la convocatoria 833 de 20181 (COLCIENCIAS, 2019) y el cruce de los datos de las mismas, con los datos característicos de las instituciones que se arrojan en el Sistema Nacional de Información de la Educación Superior -SNIES-2 . Las instituciones además se agrupan de forma metodológica como los realizo el Modelos de Indicadores de Desempeño de la Educación -MIDE- que se realizó en 2018 (MEN, 2018). Con estos datos se busca comparar instituciones y revisar las Instituciones que por su grado superior tienen un mejor desempeño y encontrar algunas características que muestren su desempeño.
TASA DE COTIZANTES E INGRESOS DE GRADUADOS POR ÁREA DE CONOCIMIENTO EN COLOMBIA DE 2007-2016
Authors: Rincón Báez William Umar , Becerra Plaza Gisèle Eugenia 
Published: February 2024

Para el quinto boletín del Observatorio en Ciencias Administrativas, se busca interpretar los datos de tasas de cotización e ingresos de los graduados después de un año de vinculación laboral, inicialmente por Áreas de conocimiento, luego por Origen de la institución y Metodología; además se compararán los tres núcleos básicos de Administración, Economía y Contaduría, en estas mismas variables. Para ello se toman los datos del Observatorio Laboral para la Educación (OLE) del Ministerio de Educación Nacional de Colombia (Colombia.Observatorio Laboral para le Educación, 2017)
Visual-and-Language multimodal fusion for sweeping robot navigation based on CNN and GRU
Authors: Chen Peizhen , Lin Kevin , Zhang Abby Yurong , Yu Yibei , Sun Jiaqian , Liu Xinyi 
Published: February 2024

Abstract

In recent years, with the development of mobile robotics technology, robotic vacuum cleaners have become part of people's daily lives. These robots have the ability to autonomously recognize their environment and navigate rooms for cleaning, demonstrating significant practical applications. However, in the absence of highly detailed maps, the challenge of how robots can autonomously identify their current location and accurately reach specified destinations remains an unsolved problem. The emergence of visual language navigation methods has made it possible for robots to receive natural language instructions about navigation paths and autonomously move to their target locations under the guidance of these instructions. However, effectively fusing information between the visual and language modalities remains a significant challenge. To achieve deep integration of natural language and visual information, this research introduces a multimodal fusion neural network model, which combines visual information (RGB images and depth maps) with language information (natural language navigation instructions). Firstly, we used Faster R-CNN and ResNet50 to extract image features and attention mechanism to further extract effective information. Secondly, GRU model is used to extract language features. Finally, another GRU model is used to fuse the visual- language features, and then the history information is retained to give the next action instruction to the robot. Experimental results demonstrate that the proposed method effectively addresses the localization and decision-making challenges for robotic vacuum cleaners.
Statistical analysis plan for a cluster randomised trial in Madhya Pradesh, India: community health promotion and medical provision and impact on neonates (CHAMPION2)
Authors: Magill Nicholas , Shivalli Siddharudha , Fazzio Ila , Elbourne Diana , Keddie Suzanne , Reddy Padmanabh , Nair Rakhi , Gopal Madan , Karnati Sridevi , Reddy Harshavardhan , Boone Peter , Frost Chris 
Published: February 2024

Abstract

Background Neonatal mortality in India has fallen steadily and was estimated to be 24 per 1000 live births in the year 2017. However, neonatal mortality remains high in rural parts of the country. The Community Health Promotion and Medical Provision and Impact On Neonates (CHAMPION2) trial investigates the effect of a complex health intervention on neonatal mortality in the Satna District of Madhya Pradesh.
Methods/design The CHAMPION2 trial forms one part of a cluster-randomised controlled trial with villages (clusters) randomised to receive either a health (CHAMPION2) or education (STRIPES2) intervention. Villages receiving the health intervention are controls for the education intervention and vice versa. The primary outcome is neonatal mortality. Secondary outcomes include maternal mortality; stillbirths; perinatal deaths; causes of death; health care and knowledge; hospital admissions of enrolled women during pregnancy or in the immediate post-natal care period, or of their babies (during the neonatal period); maternal blood transfusions; and the cost effectiveness of the intervention. A total of 196 villages have been randomised and over 34,000 women have been recruited in CHAMPION2.
Discussion This update to the published trial protocol gives a detailed plan for the statistical analysis of the CHAMPION2 trial.
Trial registration Registry of India: CTRI/2019/05/019296. Registered on 23 May 2019. https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MzExOTg=&Enc=&userName=champion2
Effect of Monetary Policy on the Economic Growth of Ethiopia: An Autoregressive Distributed Lag (ARDL) Approach
Authors: Abdulkadr Ahmed Abduletif , Asnakew Yibeltal Walle , Sendkie Fentahun Baylie , Workineh Ermias Berihun , Asfaw Dagmawe Menelek 
Published: February 2024

Abstract
This study analyze the effect of monetary policy. To address this objective this study employed ARDL and error correction model (ECM) based on annual data from 1993 to 2022. Granger causality test was also employed to check the direction of causal effects of one variable on the other variable. All required pre and post estimation test were performed and verified that the model was statistical viable. The study revealed that, In short run, deposit interest rate, reserve required amount and open market operation have positive and statistically significant effects on real GDP growth of Ethiopia, however, money supply have negative and statistically significant effects on real GDP growth of Ethiopia. In long run, money supply have positive and statistically significant effects on real GDP growth of Ethiopia, however, deposit interest rate and reserve required have negative and statistically significant effects on real GDP growth of Ethiopia. To sum up, in short run contractionary monetary policy was promising and in long run expansionary monetary policy was favorable effect on economic growth. The Granger causality test result shows that there is bidirectional causality between monetary policy and economic growth; except there was unidirectional relationship between deposit interest rate and economic growth. Ultimately, this research suggests the following policy recommendation: for short-term economic enhancement, it is advisable for the government to opt for a contractionary monetary policy rather than an expansionary one. On the other hand, for long-term economic improvement, an expansionary monetary policy is more favorable than a contractionary one.
Single-Cell Laser Emitting Cytometry for Label-Free Nucleolus Fingerprinting
Authors: Chen Yu-Cheng , Fang Guocheng , Qiao Zhen , Zhu Hui , Xie Jun , Zhou Tian , Xiong Zhongshu , Jin Dayong 
Published: February 2024

Abstract

Nucleolus, a recognized biomolecular condensate, serves as the hub for ribosome biogenesis within the cell nucleus. Its number and morphology act as discernible indicators of cellular functional states, particularly under stress conditions. However, precise identification and quantification of nucleolus remains challenging without specific labeling, particularly for suspended cells and high-throughput applications. Here we introduce a single-cell laser emitting cytometry (SLEC) for label-free nucleolus differentiation through light-matter interactions within a Fabry-Perot photonic resonator. The laser emission image provides insights into the structural inhomogeneity and the temporal fluid-like dynamics within the nucleolus. Lasing spectral fingerprint depicts the quantity and size of nucleoli within a single cell, showcasing the viability of nucleolus flow cytometry on a biochip. This approach holds promise for nucleolus-guided cell screening and drug evaluation, advancing the study of diseases such as cancer and neurodegenerative disorders.
Overcoming the intrinsic brittleness of high-strength Al2O3-GdAlO3 ceramics through refined eutectic microstructure
Authors: Yoshida Hidehiro , Aoki Yuta , Masuda Hiroshi , Tochigi Eita 
Published: February 2024

Abstract

High-strength ceramic materials are known for their exceptional mechanical properties; however, they are often plagued by brittleness, limiting their applications. Because of the inherent difficulty of dislocation glides in ceramics, efforts to enhance reliability of ceramics by activating plastic deformation have faced challenges. This work demonstrates that Al2O3-GdAlO3(GAP) eutectic micropillars with submicron-scale fibrous microstructures exhibit remarkable plastic deformability. They displayed a plastic strain of up to 5% even at 25°C, while the micropillars of Al2O3 or GAP single crystals exhibited brittle fracture similar to conventional high-strength ceramics. The plasticity in Al2O3-GAP eutectic was attributed to the activation of primary prismatic slip and secondary basal slip in the Al2O3 phase, which is typically considered inactive at room temperature. These findings suggest that plastic deformability can be achieved in high-strength ceramic materials by fabricating refined eutectic microstructures.
Does host migration affect host-parasite interaction? Migrant birds harbor exclusive parasites but have similar roles in parasite-host networks.
Authors: Dutra Daniela de Angeli , Rodrigues Raquel Andrade , Pichorim Mauro , Moreira Patrícia de Abreu , Braga Érika Martins 
Published: February 2024

Abstract
Parasites comprise a substantial portion of global biodiversity and play critical roles in shaping ecosystems by modulating trophic networks and affecting their hosts’ abundance and distribution. The dynamics of host migration introduce new complexity to these relationships. From the host perspective, migratory behavior can either act as a defense mechanism or augment exposition to a broader spectrum of pathogens. Conversely, for parasites, host migration represents a mechanism for their dispersion and an opportunity to infect new host species. This study investigates the complex interplay between migration and host-parasite interactions, focusing on the interaction between hosts and avian malaria and malaria-like parasites in the Brazilian Atlantic Rain Forest. We captured 1,466 birds representing 70 different species, uncovering 322 infections with Plasmodium/Haemoproteus parasites. We observed variations in migration timing and fluctuations in host abundance across months. By comparing the observed patterns of interaction of migratory and non-migratory birds to patterns of interaction expected at random, we show that migration affects the roles hosts take in the host-parasite network. Interestingly, despite the fact migratory species hosted more exclusive and distinct parasites, migrants did not occupy central network positions, which are dominated by resident birds. Overall, we highlight the role of resident birds as key species within host-parasite communities and the high specialization among avian haemosporidians and their hosts.
Evaluation of demand control ventilation impact on indoor air quality and energy efficiency of an office space in a tropical climate
Authors: Mustapha Mohamad Asrul , Chanik Abadi , Ismaili Gaddafi , Pauzan Amira Satirawaty Mohamed 
Published: February 2024

Abstract

Indoor air quality (IAQ) and energy efficiency are critical factors in the design and operation of office spaces. This study explores the transformative potential of Demand Control Ventilation (DCV) systems in optimizing IAQ and energy efficiency within office environments located in tropical climates. Unlike traditional ventilation mechanisms, which operate uniformly regardless of occupancy levels, thereby escalating energy expenditure, DCV systems dynamically adjust fresh air inflow based on real-time occupancy data. Through meticulous simulation analyses employing the Carrier Hourly Analysis Program (HAP), this investigation contrasts the performance of a conventional, constant ventilation setup against that of a DCV-modulated environment. This comparison utilizes actual occupancy, HVAC settings, and electrical loads. The findings reveal that DCV implementation not only upholds stringent IAQ standards but also heralds a significant reduction in average energy consumption by 38.9%. This study substantiates DCV's efficacy in enhancing IAQ and energy savings, positioning DCV as a cornerstone technology for sustainable retrofitting and design in tropical climates, and highlighting its potential applications in optimizing space ventilation systems.
Introducing Edge Intelligence to Smart Meters via Federated Split Learning
Authors: Wang Yi , Li Yehui , Qin Dalin , Poor H. Vincent 
Published: February 2024

Abstract

The ubiquitous smart meters are expected to be a central feature of future smart grids by enabling the collection of massive fine-grained consumption data to support demand-side flexibility. However, the current smart meters are still not smart enough. They can only perform basic data collection and communication functionalities but fail to carry out any on-device intelligent data analytics due to hardware constraints in terms of memory, computation, and communication capacity. Moreover, privacy concerns have hindered the utilization of data from distributed smart meters. Here, we present an end-edge-cloud federated split learning framework to enable collaborative model training on resource-constrained smart meters with the assistance of edge and cloud servers in a resource-efficient and privacy-enhancing manner. The proposed method is validated on a hardware platform to conduct building and household load forecasting on smart meters with only 192KB of static random-access memory (SRAM). We show that the proposed method can reduce the memory footprint by 95.5%, the training time by 94.8%, and the communication burden by 50% under the distributed learning framework, and achieve comparable or even superior forecasting accuracy compared to resource-unlimited methods.
Neural mechanisms underlying different aspects of pseudostuttering versus fluent speech during spontaneous speech production
Authors: Niephaus Alexandra , Konrad Kerstin , Guzik Janina , Pape-Neumann Julia , Reindl Vanessa 
Published: February 2024

Abstract

Although “artificial stuttering”, also known as pseudostuttering, represents a well-controlled technique for exploring disfluencies in spontaneous speech, little is known about the exact neural mechanisms involved in pseudostuttering. More specifically, previous research has not considered different types of pseudostuttering symptoms, such as repetitions or prolongations. To address this research gap, we performed functional near-infrared spectroscopy on N = 31 adult participants to measure their brain activity during spontaneous speech under three conditions: habitual (fluent) speech, voluntary produced repetitions, and prolongations. We found greater activation during pseudostuttering than during habitual speech in the left dorsolateral prefrontal cortex, inferior frontal gyrus, middle temporal gyrus, premotor cortex, supplementary motor area, supramarginal gyrus, and superior temporal gyrus, with no significant differences between repetitions and prolongations. These results support previous activation findings obtained during sentence reading and extend them to include activations in the left dorsolateral prefrontal cortex and middle temporal gyrus when producing simulated prolongations and repetitions in naturalistic speech scenarios. Our findings underscore the potential of employing pseudostuttering paradigms in real-world contexts, such as conversational discourse, as a valuable tool to elucidate the neural underpinnings of speech disfluency and its implications for the speaker.
Association between lipid parameters and severity of depressive symptoms in patients with first-diagnosed drug-free major depressive disorder
Authors: Liu Junjun , Li Zhe , Xiao Libin , Feng Xiaotang , Liu Yang , Jia Fengnan , Zhang Xiaobin , Du Xiangdong , Zhang Xiangyang 
Published: February 2024

Abstract
Objective
The association between lipid biomarkers and the severity of depressive symptoms remains uncertain in patients with major depressive disorder (MDD), as previous findings have been debatable. The objective of this research was to examine the correlation between lipid parameters and the severity of depressive symptoms in patients with first-diagnosed drug-free (FDDF) MDD in Chinese.
Methods
From 2016 to 2018, a total of 1718 individuals diagnosed with FDDF MDD were recruited. Detailed sociodemographic details and anthropometric measurements were gathered from each patient. An assessment of anxiety and depressive symptoms was conducted using the Hamilton Anxiety Scale (HAMA) and the 17-item Hamilton Rating Scale for Depression (HAMD-17), respectively. Furthermore, thyroxine hormones, fasting blood glucose (FBG) levels, and lipid profiles were ascertained using blood samples taken by a trained clinician. Univariate and multivariate linear regression analyses were then employed to ascertain if there was an association between patient lipid profiles and depressive symptom severity. Additionally, a two-segmental linear regression analysis was used to investigate threshold effects.
Results
Subsequent to adjusting for covariates, multivariate linear regression analysis unequivocally demonstrated a positive correlation between total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-c), but not high-density lipoprotein cholesterol (HDL-c), and the manifestation of depressive symptoms in patients with FDDF MDD. Intriguingly, the relationship between TC, TG, LDL-c, and depressive symptoms exhibited a non-linear pattern. By employing a two-segmental linear regression model, distinct inflection points at 6.17 mmol/l for TC, 1.80 mmol/l for TG, and 4.12 mmol/l for LDL-c were unveiled. At values higher than each inflection point, we observed a positive association between TC, TG, LDL-c, and depressive symptoms (all P < 0.05). However, this relationship between lipids and depressive symptoms appears to plateau at values higher than each inflection point (all P > 0.05). Notably, the correlation between HDL-c and depressive symptoms, on the other hand, appeared to exhibit a "U"-shaped pattern, where 1.10 mmol/l was found to be optimal.
Conclusion
Our investigation shed light on the intricacies regarding the association between lipid markers (TC, TG, LDL-c, and HDL-c) and the severity of depressive symptoms in patients with FDDF MDD, thereby offering valuable insights into the underlying mechanisms involved.
Postpartum Amniotic Fluid Embolism with Hamman’s Syndrome: A Rare Case Report and a Review of the Literature
Authors: Hussein Abdirahman Osman , Yusuf Ali Mohamed , Ali Amal Nor , Hussein Ahmed Issak , Dirie Abdikadir Mohamed , Jeele Mohamed Osman Omar 
Published: February 2024

Abstract
Background: In medicine, Pneumomediastinum (PM) refers to the presence of free air in the mediastinal cavity. Typically, trauma and other serious chronic lung disorders are the most prevalent causes of PM. It is estimated that Hamman’s syndrome, spontaneous pneumomediastinum and subcutaneous emphysema, occurs in approximately 1 in 100,000 live births and is highly associated with prolonged labor time. Amniotic fluid embolism (AFE) is a rare obstetric emergency characterized by severe hypotension, hypoxia, and coagulopathy and it is one of the leading causes of maternal mortality during labor or shortly after delivery. There are several case reports which described Hamman’s syndrome during or after delivery and AFE during and after labor separately, but we did not find any case in the literature which AFE and Hamman’s syndrome simultaneously occur in the same patient.
Case report: In the presenting case report, we described a 26-year-old female patient who suddenly developed shortness of breath, chest pain, and cough after normal vaginal delivery. She was diagnosed with AFE with Hamman’s syndrome and was treated with conservative management. After one week of hospitalization, the patient was discharged in good health.
Conclusion: AFE is a potentially high mortality condition, but with early diagnosis and management the outcome of the mother can be improved.