bluuebunny/crossref_metadata_2025 huggingface dataset:
La historia del peso corporal en obesidad infantil
Authors: Téllez Silva Brenda Carolina
Published: April 2024

El tema de salud publica de las enfermedades crónico degenerativas a nivel nacional es la obesidad, donde la infantil trasciende fronteras y ocupa el primer lugar a nivel mundial y como problema de salud crónico degenerativo constituye la mayor amenaza a los sistemas de atención a la salud, a la sociedad en el detrimento de la esperanza de vida y al individuo en particular al alterar su calidad de vida. La historia de peso corporal la emplee como subgénero de la historia de vida, que es el uso de documentos personales con el propósito de la comunicación en referencia personal del estilo de vida en el desarrollo ontológico en aspectos específicos como es la obesidad. Esto permite una aproximación al proceso de interacción y construcción cultural entre la biografía del agente, la institución y estructura social, de quien la realiza, y aproximarse a los elementos subje-tivos o psicológicos con determinada identidad y hábitos. El objetivo de este trabajo fue la identificación de la condición de peso corporal durante el crecimiento y desarrollo del individuo a través de la autodescripción en niños y adolescentes obesos. Se elaboró una entrevista semi-estructurada. El análisis de los datos hacer referencia sobre el plano cualitativo por los análisis de contenido, descriptores y explicación narrativa del origen y mantenimiento de la obesidad de acuerdo con los propios agentes. La interacción de la familia y los menores puede colaborar en la atención y prevención de la obesidad infantil (y en adultos), con afecto y atención en calidad de vida.
Development, Simulation and Visualization of Autonomous Farm Vehicles
Authors: Reddy K. Pragnan , Rao Dr. M. Sreenivasa
Published: April 2024

Abstract: A Research in Autonomous Agricultural Vehicle Technology is presented. With the coming of the Smart Farming Revolution the development of more complicated machines has begun. Agricultural machines are made with the capability of driving themselves, using GPS maps and electronic sensors, an approach that will lead to the development of futuristic Precise Autonomous Farming Systems. The basic issues to be addressed are autonomous path planning, obstacle detection and avoidance for which various sensors will be employed such as GPS, laser-based sensors, ultrasonic sensors, IMU sensors and Camera sensors whose data has to be constantly monitored using Dead Reckoning algorithm and constant Pose Estimation. In these sensors, Camera, Ultrasonic, Laser-Based Sensors are used as Detection sensors while the IMU and GPS sensors are used as Localization sensors. Global Avoidance Subsystem which examines the whole environment of an autonomous vehicle mission-level path planner that pre-plans paths around all known obstacles. While Local Avoidance Subsystem/Reactive planner consists of an obstacle filter and an obstacle avoidance algorithm and re-plans a short way for the vehicle to navigate. With the ROS framework and all sensors data, a vehicle can guide itself through an unknown environment. This will help the farmer to undercut the labour shortage and improve the precision in farming which in turn improves the output to meet the growing demands
Facial Emotion Detection: Applications, Advancements, and Implications in Human-Computer Interaction
Authors: RamaKrishna N.
Published: April 2024

Abstract: The YOLO Version 8 algorithm, considered for its real-time object detection abilities, is implemented to demonstrate the face emotion detection. We integrate deep neural network analysis, accurate landmark detection, and face image preprocessing to achieve enhanced effectiveness and precision in real-time emotion recognition. This is made possible by YOLO V8's sophisticated architecture, which effectively processes visual input. Robust performance in various demographic and cultural contexts is guaranteed by extensive training on a variety of datasets. Comprehensive evaluations indicate that the system surpasses existing methodologies in terms of precision, efficiency, and adaptability. Anticipated advancements in emotion-aware technologies promise far-reaching implications, with potential applications spanning sentiment analysis, interactive computing, and mental well-being monitoring.
IOT Based Remote Patient Monitoring System
Authors: Thakare Prof. Y. A.
Published: April 2024

Abstract: A remote monitoring technique that can accurately track human physiological indicators has applications in virtual reality, sports science, medicine, rehabilitation, and surveillance. The majority of systems now in use for tracking bodily parameters in humans need wiring that limits natural movement. In order to get over this restriction, a wearable wireless sensor network that monitors physiological human body characteristics has been built using an accelerometer, a pulse oximeter, a heart-rate sensor, a temperature sensor, and a galvanic skin response sensor. The individual is being tracked wirelessly using his own location. It would be simple to modify this system to watch athletes and young children. Unlike a tethered monitoring equipment, the wireless feature allows the human body to move freely, making the system genuinely portable, quick, and dependable. The portable and the designed sensor node's small size makes it simple to attach to the body.
Handling Unstructured Image using Generative AI and Dev-Ops
Authors: Ghawate Prof. S. B.
Published: April 2024

Abstract: This study explores the application of generative artificial intelligence (AI) to convert unstructured medical image data into structured formats. Medical imaging is vital for diagnosis and treatment, yet handling the large volume of unstructured data presents challenges. Utilizing generative AI, particularly convolutional neural networks (CNNs), enables the transformation of raw medical images into structured data representations. By integrating AI techniques, this approach enhances the accessibility and interoperability of medical imaging data, providing valuable insights for healthcare professionals. The proposed methodology aims to streamline the process, optimizing scalability and reproducibility without extensive reliance on DevOps practices. This research signifies a significant step towards leveraging AI for efficient utilization of medical imaging data in healthcare applications
Classification of Image using Convolutional Neural Network (CNN)
Authors: Sable Prof. A. V.
Published: April 2024

Abstract: Computer vision is concerned with the automatic extraction, analysis, and understanding of useful information from a single image or a sequence of images. We have used Convolutional Neural Networks (CNN) in automatic image classification systems. In most cases, we utilize the features from the top layer of the CNN for classification; however, those features may not contain enough useful information to predict an image correctly. In some cases, features from the lower layer carry more discriminative power than those from the top. Therefore, applying features from a specific layer only to classification seems to be a process that does not utilize learned CNN’s potential discriminant power to its full extent. Because of this property we are in need of fusion of features from multiple layers. We want to create a model with multiple layers that will be able to recognize and classify the images. We want to complete our model by using the concepts of Convolutional Neural Network and CIFAR-10 dataset. Moreover, we will show how MatConvNet can be used to implement our model with CPU training as well as less training time. The objective of our work is to learn and practically apply the concepts of Convolutional Neural Network.
Green Concrete - Study of a Sustainable Construction Material
Authors: Bhede Yash , Bire Sarang , Girhepuje Hemant , Girhepuje Prajwal , Murmade Aniket
Published: April 2024

Abstract: Green concrete represents a ground breaking advancement within the concrete industry. This article focuses on the research and development of an environmentally friendly and sustainable material known as "Green Concrete," which utilizes locally sourced industrial and agricultural waste such as fly ash, slag, and sawdust. It's widely acknowledged that cement and steel, among civil engineering materials, are highly energy-intensive and contribute significantly to CO2 emissions during manufacturing. By incorporating various readily available industrial and agricultural waste materials, Green Concrete is created through partial cement replacement, offering numerous applications in civil engineering constructions
Implicación de las Fusariotoxinas en la producción avícola. Revisión
Authors: Gómez Verduzco Gabriela Guadalupe , Ávila González Ernesto , Téllez Isaías Guillermo , Del Río García Juan Carlos , Uribe Rivera Jacqueline
Published: April 2024

Las micotoxinas son metabolitos secundarios producidos por hongos de diversos géneros. Dentro de las micotoxinas más importantes se encuentran aquellas producidas por hongos del género Fusarium sp., el cual puede dividirse en varios grupos para su estudio que son el grupo de los tricotecenos (y toxina T-2), de las fumonisinas, principalmente fumonisina B1 (B1, B2, B3, B4, A1 Y A2) y de la zearalenona de efectos estrogénicos. Aunque las fusariotoxinas causan efectos similares debido a que comparten el mismo mecanismo de acción; mediante la alteración de síntesis de proteínas en las aves intoxicadas, es importante mencionar la incidencia, así como las características entre cada una de ellas. Es por esto que en cada apartado se describen las características de cada grupo mencionado.
Efecto de diferentes protocolos de castración en indicadores productivos de cerdos: Meta-análisis
Authors: Silva-Santos Humberto Rafael , Martínez-Castañeda Francisco Ernesto , Álvarez-Fuentes Gregorio , Rubio-Lozano María de la Salud , Trujillo Ortega María Elena
Published: April 2024

El objetivo fue evaluar el efecto de los diferentes protocolos de castración por medio del meta-análisis de los indicadores del consumo diario de alimento, conversión alimenticia, ganancia diaria de peso, peso al rastro, peso de la canal caliente y rendimiento de la canal. Se revisaron 179 publicaciones de tres fuentes electrónicas (Scopus, PubMed, Web of Science) en un periodo de 24 años, de las cuales se seleccionaron los 26 estudios que cumplieron con los criterios de inclusión. El efecto se analizó con seis comparaciones: C1=castración quirúrgica vs enteros; C2=inmunocastración estándar vs enteros; C3= inmunocastración estándar vs castración quirúrgica; C4= inmunocastración alternativa vs enteros; C5= inmunocastración alternativa vs castrados quirúrgicamente; y C6= inmunocastración alternativa vs inmunocastración estándar. Las medias obtenidas fueron de consumo de alimento (kg) (0.23, 0.23, -0.05, 0.32, 0.11, -0.09), de conversión alimenticia (kg:kg) (0.27, 0.05, -0.16, 0.11, 0.11, -0.19), ganancia diaria de peso (g) (-9.54, 39.08, 40.70, 107.63, -53.0, 69.14), peso de la canal (kg) (-9.54, 39.08, 40.70, 107.63, -53.0, 69.14), y peso de la canal en caliente (kg) (1.23, 0.85, 0.46, 1.03,1.02, -0.42) respectivamente. Los indicadores de consumo de alimento, conversión alimenticia, ganancia diaria de peso, peso al rastro y peso de la canal caliente fueron diferentes (P<0.05); solo la variable de rendimiento de la canal no mostró diferencia (P>0.05). Se concluye que, la inmunocastración mejora el desempeño en indicadores productivos y de la canal, la castración quirúrgica mejora el rendimiento de la canal, los cerdos enteros tienen mejor conversión alimenticia, y la inmunocastración estándar y alternativa difieren en su respuesta en indicadores de producción y medición de la canal.
First catalogue of benthic marine macroalgae from glacier-influenced environments of the Beagle Channel, deposited in the new Sub-Antarctic Cryptogamic Herbarium (SCH) of the University of Magallanes
Authors: Rodriguez Provoste Juan Pablo , Gibelli Violeta , Bahamonde Francisco , Marambio Johanna , Calderón Marta , Bustamante Danilo , Rozzi Ricardo , Mansilla Andrés
Published: April 2024

The environmental characteristics and geomorphological landscape in the sub-Antarctic Magellanic ecoregion underpin a biological diversity that evolved adapting to the microhabitats produced by these heterogeneous ecological conditions. The high level of endemism found in these biological communities is nowadays protected thanks to the creation of the Cape Horn Biosphere Reserve (CHBR), a natural laboratory at the southern end of the sub-Antarctic Magellanic ecoregion. Studies produced in this region offer a valuable knowledge of its biological, ecological and cultural facets in a state still scarcely impacted by anthropogenic activities. The retreat of glaciers present along the channels and fjords of the CHBR due to global climate change impacts the marine benthic and macroalgae communities hosted in these water bodies. European expeditions in the 18th and 19th centuries pioneered the works which provided our current knowledge about this subantarctic marine flora. Nevertheless, there is still a gap of taxonomic information of macroalgae diversity in the CHBR. To solve this gap, with support of the Cape Horn Internationional Center (CHIC), we created the Sub-Antarctic Cryptogamic Herbarium (SCH) hosted at the Antarctic and Sub-Antarctic Marine Ecosystems Laboratory (LEMAS), University of Magallanes. In 2020, the New York Botanical Garden indexed the SCH in its Index Herbariorum. This indexation granted by this world-renowned institution places the SCH's biological collection as the world's southernmost cryptogamic repository. As such, the SCH's botanical collection is currently the only gateway to the subantarctic ecosystem's biological legacy. The catalogue below provides information about the ecological and morphological characteristics of macroalgae deposited in the SCH, with particular focus on those species present in the CHBR. We identified 54 species. Among them 23 belong to the Rhodophyta division (43%), 19 species to the Chlorophyta division (35%), and 12 species to the Ochrophyta division (22%). In the context of rapid global change, involving increasingly threatened taxa due to human impact, baseline studies and records deposited at the SCH will provide an essential tool for assessing patterns of change and defining conservation practices to protect the rich biodiversity of these sub-Antarctic ecosystems.
Innovative Approaches: Unveiling Integrated Social Sciences Learning at SMP Negeri 7 Muaro Jambi
Authors: Marta Popida , Khairinal Khairinal , Murbojono Rahmat
Published: April 2024

This research aims to find out: (1) Integrated Social Sciences learning planning; (2) implementation of integrated social studies learning; (3) barriers to integrated social studies learning; (4) assessment of integrated social studies learning at SMP Negeri 7 Muaro Jambi. This research use desciptive qualitative approach. The data collection methods are observation, interviews and documentation. The data analysis technique uses an interactive analysis model. Test data reliability through triangulation techniques. The research results are as follows: (1) Integrated social studies learning planning at SMP Negeri 7 Muaro Jambi using a learning model with a problem approach; (2) In general, the implementation of Integrated Social Sciences learning has been effective. The implementation of learning uses three stages, namely introduction, core activities, and closing; (3) Barriers/obstacles to implementing Integrated Social Sciences learning include: (a) social studies teacher educational background; (b) not all students are interested in social studies subjects; (c) limited learning media/facilities; (d) teaching materials that do not yet reflect integration between IPS branches; (4) Assessment of integrated social studies learning is carried out using test and non-test assessment instruments which are then reported to the students' parents. The study of the implementation of Integrated Social Sciences learning at SMP Negeri 7 Muaro Jambi opens a new window towards innovative approaches in social sciences-based education at the secondary level.
Implementation of Portfolio Assessment in English Lessons at MAN Insan Cendekia Jambi
Authors: Sultanuddin Sultanuddin , Saharudin Saharudin , Yamin Martinis , Waite Vesna , Baral Lekh Nath
Published: April 2024

This research aims to: 1) obtain an overview of portfolio assessment planning for English language learning at MAN Insan Cendekia Jambi, 2) describe the implementation of portfolio assessment for English language learning at MAN Insan Cendekia Jambi. 3) describe the advantages and obstacles of portfolio assessment in English language learning at MAN Human Cendekia Jambi. The approach used in this research is qualitative research. The results of the research show that portfolio assessment planning in English language learning at MAN Insan Cendekia Jambi includes several components, such as: educator preparation, consideration of the values that will be applied, and determining appropriate learning material. Apart from that, the assessment also includes students' affective aspects which aim to form good student attitudes in accordance with the Islamic boarding school concept. The implementation of portfolio assessment in English language learning also experiences obstacles, namely limited time, different student characteristics, and institutional support regarding portfolio assessment that is not yet well systemized. Portfolio assessment in English language learning at MAN Insan Cendekia Jambi includes: evidence of thought processes, quality of activities, and diversity of approaches.The implementation of portfolio assessment in English lessons at MAN Insan Cendekia Jambi shows the school's commitment to improving students' learning experience holistically. This research has the potential to provide new insights regarding the effectiveness of alternative evaluation methods in the context of English language education.
Development of Hadang Ball Teaching Materials for Class X High School Students
Authors: Wajdi Farid , Kamarudin Azzura , Seesangboon Anupharb
Published: April 2024

This study investigates the impact of social media use on adolescents' mental well-being by considering the mediating role of social support and media use behavior. A cross-sectional survey method was used to collect data from 500 adolescents aged 13-18 years. The results of multiple linear regression analysis show that social media use is negatively correlated with adolescents' mental well-being. These findings indicate that adolescents who use social media with high intensity tend to experience decreased mental well-being due to lack of social support and unhealthy usage behavior. The implications of this research highlight the need for interventions that strengthen offline social support and educate adolescents about healthy social media use behaviors. The novelty of this research lies in its interdisciplinary approach which combines the perspectives of psychology, sociology and information technology to investigate complex phenomena developing in the digital era. These findings make an important contribution to our understanding of adolescent well-being in the digital era and encourage greater attention to appropriate interventions to protect the mental health of adolescents using social media.
CORRELATIONS BETWEEN FUNCTIONAL BALANCE AND GAIT PARAMETERS DURING TIMED UP AND GO TEST UNDER DUAL-TASK CONDITIONS AMONG OLDER ADULTS
Authors: Embong Julaida , Justine Maria , Mustapa Amirah , Adli Bukry Saiful , Rosadi Rakhmad , Manaf Haidzir
Published: April 2024

The combination of physical, cognitive, and sensory challenges can make outdoor walking difficult for older adults. This study aimed to determine whether the gait parameters during the Timed Up and Go (TUG) test under dual-task conditions correlate with the functional balance level. A total of 255 older persons participated in this cross-sectional study. Functional balance was assessed using the Berg Balance Scale (BBS) before the TUG test. The TUG test was conducted under single- and two dual-task conditions (dual-motor and dual-cognitive). The time and number of steps were used to quantify gait parameters. Spearman’s rank correlation coefficient was used to assess the relationship among variables. The gait parameters (time and number of steps) of the TUG test were significantly different between task conditions (both, p = 0.001). Post hoc analysis with the Wilcoxon signed-rank test showed that the gait parameters in dual-motor and dual-cognitive tasks were significantly longer than in single-task conditions (p = 0.001). A strong negative rank correlation was found between the time and the number of steps taken to complete the single task condition and functional balance (p = 0.001). There was a low negative correlation between the time taken to complete the dual-motor task and dual-cognitive task conditions and functional balance. These findings suggest that functional balance may be an influential domain of successful dual-task TUG in older adults.
Corporate control in emerging markets: The non-linear dynamics of foreign board involvement
Authors: Anwar Yunita , Mulyadi Martin
Published: April 2024

This study examines the complex dynamics of foreign board membership in corporate governance within 266 family-owned corporations in Indonesia and Malaysia. By employing multiple regression analysis, we have determined a turning point in the level of foreign board representation. Once this threshold is surpassed, the advantages of governance start to diminish, indicating the necessity for a more balanced and diverse board composition. Surprisingly, the presence of women on corporate boards did not have a significant effect on governance practices. The findings indicate that although foreign expertise might be advantageous, relying too much on it can have negative consequences. These observations encourage a reassessment of the makeup of boards in developing economies, suggesting areas for further investigation into governance methods in different types of organizations and cultural contexts.
Splitting of ScS waves due to lowermost mantle anisotropy: Practical challenges and new global measurements
Authors: Wolf Jonathan , Long Maureen
Published: April 2024

Many regions of the Earth’s mantle are seismically anisotropic,
including portions of the lowermost mantle, which may indicate
deformation due to convective flow. The splitting of ScS phases, which
reflect once off the core-mantle boundary (CMB), is commonly measured to
identify lowermost mantle anisotropy, although some challenges exist.
Here, we use global wavefield simulations to evaluate commonly used
approaches to inferring a lowermost mantle contribution to ScS
splitting. We show that due to effects of the CMB reflection, only the
epicentral distance range between 60 and
70 is appropriate for ScS splitting measurements. For
this distance range, splitting is diagnostic of deep mantle anisotropy
if no upper mantle anisotropy is present; however, if ScS is also split
due to upper mantle anisotropy, the reliable diagnosis of deep mantle
anisotropy is challenging. Moreover, even in the case of a homogeneously
anisotropic deep mantle region sampled from a single azimuth by multiple
ScS waves with different source polarizations (in absence of upper
mantle anisotropy), different apparent fast directions are produced. We
suggest that ScS splitting should only be measured at “null” stations
and conduct such an analysis worldwide. Our results indicate that
seismic anisotropy is globally widespread in the deep mantle.
From Spheroids to Bioprinting: A Literature Review on Biomanufacturing strategies of 3D In vitro Osteosarcoma Models
Authors: Domingues Margarida , Silva João C. , Sanjuan-Alberte Paola
Published: April 2024

Osteosarcoma (OS) is a rare primary malignant bone cancer affecting
mainly young individuals. Treatment typically consists of chemotherapy
and surgical tumor resection, which has undergone few improvements since
the 1970s. This therapeutic approach encounters several limitations
attributed to the tumor’s inherent chemoresistance, marked heterogeneity
and metastatic potential. Therefore, the development of in
vitroplatforms that closely mimic the OS pathophysiology is crucial to
understand tumor progression and discover effective anticancer
therapeutics. Contrary to 2D monolayer cultures and animal models,
3Din vitro platforms show promise in replicating the 3D tumor
macrostructure, cell-cell and cell-extracellular matrix interactions.
This review provides an overview of the biomanufacturing strategies
employed in developing 3D in vitro OS models, highlighting their
role in replicating different aspects of OS and improving OS anticancer
research and drug screening. A variety of 3D in vitro models are
explored, including both scaffold-free and scaffold-based models,
encompassing cell spheroids, hydrogels, and innovative approaches like
electrospun nanofibers, microfluidic devices and bioprinted constructs.
By examining the distinctive features of each model type, this review
offers insights into their potential transformative impact on the
landscape of OS research and therapeutic innovation, addressing the
challenges and future directions of 3D in vitro OS modeling.
Chlorophyll production in the Amundsen Sea boosts heat flux to atmosphere and weakens heat flux to ice shelves
Authors: Twelves Andrew G , Goldberg Daniel N , Holland Paul Richard , Henley Sian Frances , Mazloff Matthew R. , Jones Dani C
Published: April 2024

The Amundsen Sea in West Antarctica features rapidly thinning ice
shelves and large, seasonally recurring polynyas. Within these polynyas,
sizable spring phytoplankton blooms occur. Although considerable effort
has gone into characterising heat fluxes between the Amundsen Sea, its
associated ice shelves, and the overlying atmosphere, the effect of the
phytoplankton blooms on the distribution of heat remains poorly
understood. In this modelling study, we implement a feedback from
biogeochemistry onto physics into MITgcm-BLING and use it to show, for
the first time, that high levels of chlorophyll – concentrated in the
Amundsen Sea Polynya and the Pine Island Polynya – accelerate
springtime surface warming in polynyas through enhanced absorption of
solar radiation. The warm midsummer anomaly (on average between +0.2°C
and +0.3C°) at the surface is quickly dissipated to the atmosphere, by
small increases in latent and longwave heat loss as well as a
substantial (17.5%) increase in sensible heat loss from open water
areas. The summertime warm anomaly also reduces the summertime sea ice
volume, and stimulates enhanced seasonal melting near the fronts of ice
shelves. However larger effects derive from the accompanying cold
anomaly, caused by shading of deeper waters, which persists throughout
the year and affects a decrease in the volume of Circumpolar Deep Water
on the continental shelf. This cooling ultimately leads to an increase
in wintertime sea ice volume, and reduces basal melting of Amundsen Sea
ice shelves by approximately 7% relative to the model scenario with no
phytoplankton bloom.
Observed long-term changes in extreme temperature and precipitation indices in Spain (1951-2020)
Authors: Olmo Matias Ezequiel , Campos Diego Alvaro , Cos Pep , Doblas-Reyes Francisco , Soret Albert , Margarida Samso
Published: April 2024

Climate extreme indices —-encompassing absolute values,
percentile-based, and spell indices—- are analyzed over Spain during
1951-2020 using daily precipitation (PR), maximum and minimum
temperatures (TX and TN) from the AEMET high-resolution dataset. The
indices focus on the frequency, intensity, and duration of extremes.

A general warming trend is detected in absolute values and in a longer
persistence of warm spells. While the changes are clearer in TN- than in
TX-based frequency indices, their sign and magnitude depend on the
season and percentile. The upward (downward) trends in warm (cold)
nights are usually larger than in warm (cold) days. A drying signal is
detected on total precipitation and spell-indices in central and
southern Spain during summertime. Isolated extremes increase during
autumn, indicating a possible modification of precipitation regimes.

This work contributes to disentangling the spatio-temporal variability
and recent trends of extremes in Spain, with tailored climate
information for adaptation measures.
Efficient Majority Logic Parallel-Prefix Adder Design
Authors: Efstathiou Constantinos , Kouretas Ioannis , Kitsos Paris
Published: April 2024

Beyond CMOS nanotechnology has been attracted interest by many researchers. The logical fundamental elements of many nanotechnologies are the majority, minority gates and inverters. The design of efficient adder systems and especially the parallel prefix adders is of very importance. In this paper efficient majority logic implementation of parallel prefix is introduced. The proposed methodology can be generalized to any parallel prefix structure design. Moreover, the proposed majority logic parallel prefix adder designs demonstrate decreased circuit complexity when compared to the literature.
Geopolymer composites reinforced with natural Fibers: A review of recent advances in processing and properties
Authors: TANANE OMAR , Moujoud Zineb , Ousaleh Hanane Ait , Ayouch Ikrame , Bouari Abdeslam El , Tanane Omar
Published: April 2024

The construction sector is a significant contributor to global greenhouse gas emissions, resource depletion, and environmental degradation. Therefore, sustainable development in the construction sector is essential to reduce its environmental impact. Geopolymer materials have attracted particular attention offering technical properties similar to those of Portland cementitious materials with a much lower CO 2 emission and lower environmental impact. Their use as clean insulating materials seems promising due to their excellent thermal and mechanical properties. Moreover, natural fibers, such as bamboo, flax, hemp, and jute, can be used as reinforcement within the geopolymer matrix, providing additional benefits such as improved tensile and flexural strength, reduced density, and improved thermal and acoustic insulation properties. Hence, this review paper aims to explore the raw materials and manufacturing conditions involved in the formation of compact and porous geopolymer materials. In addition, the various factors affecting the properties of geopolymer materials are critically discussed and compared with those of Portland cementitious materials. Moreover, the impact of many variables, including fiber size, fiber orientation, and fiber content on the performance of natural fiber-reinforced geopolymer composites are highlighted, providing insights for future research developments.
White matter fibre density in the brain's inhibitory control network is associated with falling in older adults
Authors: Simon Colin , Bolton David , Meaney James , Kenny Rose Anne , Simon Vivienne , Looze Céline De , Knight Silvin , Ruddy Kathy
Published: April 2024

Recent research has indicated that the relationship between age-related
cognitive decline and falling may be mediated by the individual’s
capacity to quickly cancel or inhibit a motor response. This
longitudinal investigation demonstrates that higher white matter fibre
density in the motor inhibition network paired with low physical
activity was associated with falling in elderly participants. We
measured the density of white matter fibre tracts connecting key nodes
in the inhibitory control network in a large sample (n=414) of older
adults. We modelled their self-reported frequency of falling over a four
year period with white matter fibre density in pathways corresponding to
the direct and hyperdirect cortical-subcortical loops implicated in the
inhibitory control network. Only connectivity between right Inferior
Frontal Gyrus and right Subthalamic Nucleus was associated with falling
as measured cross-sectionally. The connectivity was not, however,
predictive of future falling when measured two and four years later.
Higher white matter fibre density was associated with falling, but only
in combination with low levels of physical activity. No such
relationship existed for selected control brain regions that are not
implicated in the inhibitory control network. The direction of this
effect was counterintuitive and warrants further longitudinal
investigation into whether white matter fibre density changes over time
in a manner correlated with falling, and mediated by physical activity.
Experiencia de la administración de hierro endovenoso en hospitalización a domicilio mediante elastómeros
Authors: Serrano Martin Maria Brigida , Velasco Torres Maria Luisa , Sanfiz Cancela Maria Carmen , Moreno Matamoris Cristina , Gracia Vega Laura
Published: April 2024

Objetivo: analizar las características clínicas y demográficas de las personas atendidas por la unidad de hospitalización a domicilio (HAD) que recibieron tratamiento de hierro endovenoso en perfusión por bomba elastomérica. Estudio retrospectivo desde enero del 2022 a noviembre del 2023.
En total se administró hierro endovenoso con bomba elastomérica en el domicilio a un total de 53 personas siendo estas en un 74% pacientes crónicos complejos o pacientes con enfermedad crónica avanzada. Ninguna de las personas a las que se les administró el tratamiento de hierro endovenoso presentaron reacciones adversas.
Por ello, la administración de hierro endovenoso en el domicilio por el HAD supone una práctica eficaz y segura mejora la calidad de vida de las personas usuarias y su entorno familiar.
Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People With Type 2 Diabetes
Authors: Kwak Soo Heon , Hernandez-Cancela Ryan B. , DiCorpo Daniel A. , Condon David E. , Merino Jordi , Wu Peitao , Brody Jennifer A. , Yao Jie , Guo Xiuqing , Ahmadizar Fariba , Meyer Mariah , Sincan Murat , Mercader Josep M. , Lee Sujin , Haessler Jeffrey , Vy Ha My T. , Lin Zhaotong , Armstrong Nicole D. , Gu Shaopeng , Tsao Noah L. , Lange Leslie A. , Wang Ningyuan , Wiggins Kerri L. , Trompet Stella , Liu Simin , Loos Ruth J.F. , Judy Renae , Schroeder Philip H. , Hasbani Natalie R. , Bos Maxime M. , Morrison Alanna C. , Jackson Rebecca D. , Reiner Alexander P. , Manson JoAnn E. , Chaudhary Ninad S. , Carmichael Lynn K. , Chen Yii-Der Ida , Taylor Kent D. , Ghanbari Mohsen , van Meurs Joyce , Pitsillides Achilleas N. , Psaty Bruce M. , Noordam Raymond , Do Ron , Park Kyong Soo , Jukema J. Wouter , Kavousi Maryam , Correa Adolfo , Rich Stephen S. , Damrauer Scott M. , Hajek Catherine , Cho Nam H. , Irvin Marguerite R. , Pankow James S. , Nadkarni Girish N. , Sladek Robert , Goodarzi Mark O. , Florez Jose C. , Chasman Daniel I. , Heckbert Susan R. , Kooperberg Charles , Dupuis Josée , Malhotra Rajeev , de Vries Paul S. , Liu Ching-Ti , Rotter Jerome I. , Meigs James B. ,   Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium
Published: April 2024

OBJECTIVE

To identify genetic risk factors for incident cardiovascular disease (CVD) among people with type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

We conducted a multiancestry time-to-event genome-wide association study for incident CVD among people with T2D. We also tested 204 known coronary artery disease (CAD) variants for association with incident CVD.

RESULTS

Among 49,230 participants with T2D, 8,956 had incident CVD events (event rate 18.2%). We identified three novel genetic loci for incident CVD: rs147138607 (near CACNA1E/ZNF648, hazard ratio [HR] 1.23, P = 3.6 × 10−9), rs77142250 (near HS3ST1, HR 1.89, P = 9.9 × 10−9), and rs335407 (near TFB1M/NOX3, HR 1.25, P = 1.5 × 10−8). Among 204 known CAD loci, 5 were associated with incident CVD in T2D (multiple comparison–adjusted P < 0.00024, 0.05/204). A standardized polygenic score of these 204 variants was associated with incident CVD with HR 1.14 (P = 1.0 × 10−16).

CONCLUSIONS

The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.
Time-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People with Type 2 Diabetes Mellitus
Authors: Heon Kwak Soo , B. Hernandez-Cancela Ryan , A DiCorpo Daniel , E. Condon David , Merino Jordi , Wu Peitao , A Brody Jennifer , Yao Jie , Guo Xiuqing , Ahmadizar Fariba , Meyer Mariah , Sincan Murat , M. Mercader Josep , Lee Sujin , Haessler Jeffrey , My T. Vy Ha , Lin Zhaotong , D. Armstrong Nicole , Gu Shaopeng , L. Tsao Noah , A. Lange Leslie , Wang Ningyuan , L. Wiggins Kerri , Trompet Stella , Liu Simin , J.F. Loos Ruth , Judy Renae , H. Schroeder Philip , Hasbani Natalie R. , M. Bos Maxime , C. Morrison Alanna , D. Jackson Rebecca , P. Reiner Alexander , E. Manson JoAnn , S. Chaudhary Ninad , K. Carmichael Lynn , Ida Chen Yii-Der , D. Taylor Kent , Ghanbari Mohsen , van Meurs Joyce , N Pitsillides Achilleas , M. Psaty Bruce , Noordam Raymond , Do Ron , Soo Park Kyong , Wouter Jukema J , Kavousi Maryam , Correa Adolfo , S. Rich Stephen , M. Damrauer Scott , Hajek Catherine , H. Cho Nam , R. Irvin Marguerite , S. Pankow James , N. Nadkarni Girish , Sladek Robert , O. Goodarzi Mark , C. Florez Jose , I. Chasman Daniel , R. Heckbert Susan , Kooperberg Charles , Dupuis Josée , Malhotra Rajeev , S. de Vries Paul , Liu Ching-Ti , I. Rotter Jerome , B. Meigs James
Published: April 2024

OBJECTIVE To identify genetic risk factors for incident cardiovascular disease (CVD) among people with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS We conducted a multi-ancestry time-to-event genome-wide association study for incident CVD among people with T2D. We also tested 204 known coronary artery disease (CAD) variants for association with incident CVD. RESULTS Among 49,230 participants with T2D, 8,956 had incident CVD events (event rate 18.2%). We identified three novel genetic loci for incident CVD: rs147138607 (near CACNA1E/ZNF648, HR 1.23, P=3.6×10-9), rs11444867 (near HS3ST1, HR 1.89, P=9.9×10-9), and rs335407 (near TFB1M/NOX3, HR 1.25, P=1.5×10-8). Among 204 known CAD loci, 5 were associated with incident CVD in T2D (multiple comparison-adjusted P < 0.00024, 0.05/204). A standardized polygenic score of these 204 variants was associated with incident CVD with HR 1.14 (P=1.0×10-16). CONCLUSIONS The data point to novel and known genomic regions associated with incident CVD among individuals with T2D.
Impact of the COVID-19 pandemic on selected indicators in the Slovak and Czech insurance market
Authors: Benetti Karina , Izáková Katarína
Published: April 2024

Vzájomnému porovnávaniu vývoja poistných trhov sa nevenuje dostatočná pozornosť a autori sa väčšinou zameriavajú na jednu sledovanú krajinu. Cieľom príspevku je zhodnotiť výsledky komparatívnej analýzy vývoja slovenského a českého poistného trhu za posledných päť rokov, v ktorých sledujeme aj dopady pandémie COVID-19. Daný cieľ práce bude naplnený pomocou vedeckých metód: výpočet a následné porovnanie fundamentálnych ukazovateľov poistných trhov vrátane trhovej koncentrácie, porovnanie trhového podielu a ROA, vývoj hrubého poistného v životnom a neživotnom poistení, penetrácia poistenia a poistná hustota. Pri analýze sa vychádza z údajov Slovenskej a Českej asociácie poisťovní, Slovenského a Českého štatistického úradu, národných bánk sledovaných krajín a ministerstiev financií. Na spracovanie dát bude použitý aj štatistický softvér Statgraphics Centurion XVIII.
Analysis of Linear Log Models on Covid-19 Data in Indonesia
Authors: Suciati Indah , Warsono Warsono , Usman Mustofa
Published: April 2024

Covid-19 is still a concern of the world, including Indonesia. The transmission of Covid-19 is very fast and has a wide impact on all people around the world, especially Indonesia. In everyday life, we find a lot of data that looks into a certain category. Categorical analysis of data can be done using the log linear model. The log linear model is used to analyze the relationship between categorical variables that form a contingency table of arbitrary dimensions. The analysis used in this study is to make descriptive statistics and three-way contingency tables, then perform the analysis with the help of SPSS 25.0 software where the goodness of fit test is used to see which models can be used or suitable. The purpose of this study is to analyze a log linear model, so that a log linear model is obtained that is suitable for Covid-19 data based on gender, province, and age group. The conclusion of this study is that of the 9 models used, the model  is the most suitable model to be used, with a  value of 18,885 and the equation of the log linear model is , which means that there is a relationship between the two factors for the variables gender and province, gender and age group  and province and age group  in Covid-19 cases in Covid-19 in Indonesia by gender, province, and age group.
Goodness Of Fit Test In Structural Equation Modeling with Unweighted Least Square (ULS) Estimation Method
Authors: Amanathi Ani , Setiawan Eri , Usman Mustofa
Published: April 2024

Structural equation model (SEM) is a multivariate analysis method that is used to describe a linear relationship simultaneously between indicator variables and latent variables. There are several estimation methods in SEM, one of them is Unweighted Least Square (ULS). The method doesn‟t have specific assumptions about the distribution of variables. This study aims to estimate the model using the ULS method and see the influence of employee competency variables and library facilities on the quality of service at the University of Lampung library. Survey of quality of service in the library of Lampung University is used in the research. Based on the results of the study, it is found that from the three suitability tests, namely the overall model test, the structural model test and the measurement model test using ULS estimation give good results in explaining the compatibility between the model and observation results.
Nursing interventions for improving quality of life among patients with coronary heart disease after percutaneous coronary intervention: A scoping review
Authors: Sugiharto Firman , Nuraeni Aan , Trisyani Yanny , Melati Putri Azalia , Aghnia Armansyah Nuraulia
Published: April 2024

Background: Percutaneous coronary intervention (PCI) aims to improve the quality of life (QoL) for coronary heart disease (CHD) patients, but many patients still have poor QoL. The impact of poor QoL causes long-lasting feelings of frustration, anxiety, fear, and worry that make a person give up or lose enthusiasm for the future.
Objective: This study aimed to describe nursing interventions to improve the QoL of CHD patients after PCI.
Methods: This research used the scoping review method by including all full-text primary studies written in English and published between 2013 to 2023 from three databases, EBSCO-host, PubMed, and Scopus, and one e-resource,  Sage Journals. The keywords used were “coronary artery disease OR myocardial infarction OR cardiovascular disease AND quality of life AND percutaneous coronary intervention OR PCI OR Angioplasty AND Nursing care OR nursing intervention.”
Results: A total of eight articles discussed nursing interventions to improve the QoL among CHD patients after PCI. There are two categories of interventions that nurses can carry out: hospital-based (inpatient or outpatient) rehabilitation and cardiac tele-rehabilitation. 
Conclusions: Hospital-based (inpatient or outpatient) rehabilitation and tele-rehabilitation interventions potentially improve post-PCI patients’ QoL, psychological well-being, cardiovascular capacity, social support, and adherence to CHD rehabilitation program. Standardized intervention guidelines need to be created in the future for each outcome of interest based on evidence-based findings so that specific interventions to improve the quality of life of CHD patients can be applied directly in daily practice.
The sustainability of university education toward national development: The Nigerian perspective
Authors: Ukhurebor Kingsley Eghonghon , Efanodor-Obeten Harriet Omokiniovo , Otsupius Anthonia Ighiebemhe , Jokthan Grace , Opateye Johnson A. , Wada Zira Bitrus , Sinan Idris Ismaila , Bello Abubakar , Ahmed Mahmud , Balogun Vincent Aizebeoje , Jatta Landing
Published: April 2024

In regard to national development (ND), this review article (which is basically a perspective approach) presents retroactive and forward-looking perspectives on university education in Nigeria. In the past, particularly during the 1970s, the Nigerian university (NU) sector was among the most outstanding in Africa as well as globally. The best institutions drew students from around Africa, who flocked to Nigeria to study. The NU structure evidently contained four essential components for an international and effective university system, viz., world-class instructors, world-class students, a conducive learning environment, and global competitiveness. The NU structure, nevertheless, has undergone some neglect over the past thirty years and lost its distinctive identity, which raises questions about its function and applicability at the current stage of ND. Hence, some retrospective and forward-looking observations on university education in Nigeria in connection to ND are conveyed in this perspective article uses basically published articles and other relevant literature, as well as other sources and data from available literature. Hitherto, there is an urgent need for reinforcement of the university system in order to give it the desired and comparable international quality and functionality needed to meet the demands of current issues and the near future. However, this article conveys an intense belief and conviction that the NU system is still important for both the political and socioeconomic development (growth) of the nation. The article concludes by recommending the way forward in this regard.
A framework for integrating intelligent transportation systems with smart city infrastructure
Authors: Alanazi Fayez , Alenezi Mamdouh
Published: April 2024

As cities continue to face the increasing demands of urban transportation and the need for sustainable mobility solutions, the integration of intelligent transportation systems (ITS) with smart city infrastructure emerges as a promising approach. This paper presents a novel framework for integrating ITS with smart city infrastructure, aiming to address the challenges of urban transportation and promote sustainable mobility. The framework is developed through a comprehensive literature review, case studies, and stakeholder interviews, providing significant insights into the integration process. Our research outlines the key components of smart city infrastructure that can be integrated with ITS, highlights the benefits of integration, and identifies the challenges and barriers that need to be addressed. Additionally, we propose and apply evaluation methods to assess the effectiveness of ITS integration with smart city infrastructure. The results demonstrate the novelty and significance of this framework, as it significantly reduces traffic congestion, improves air quality, and enhances citizen satisfaction. This paper contributes to the existing literature by providing a comprehensive approach to integrating ITS with smart city infrastructure, offering a transformative solution for urban transportation challenges.