bluuebunny/crossref_metadata_2025 huggingface dataset:
Coagulation Enhanced with Adsorption and Ozonation Processes in Surface Water Treatment
Authors: Karwowska Beata , Sperczyńska Elżbieta
Published: December 2023

The requirements for water intended for domestic and economic purposes prompt the search for new solutions in surface water treatment technologies. In this study, the enhancement of coagulation processes by connections with adsorption and/or ozonation for surface water treatment was studied. The possibility of a reduction in natural organic matter (NOM) content in modified surface water was analysed regarding changes in colour, turbidity, oxidisability (OXI), total and dissolved organic carbon (TOC, DOC) and absorbance at 254 nm (UV254). Additionally, the changes in copper and zinc ion content during the modified surface water treatments studied were analysed for initial metal concentrations of 0.5 or 1.0 mg/L. Studies of modified surface water were carried out with doses of medium-basicity PAX coagulant (C2) 5 mg/L and PAC 100 mg/L. During the coagulation process, the colour decreased by 86–90%, turbidity by 85–90%, OXI by 65–77%, TOC by 65–76% and UV254 absorbance by 73–84%. The enhancement of coagulation with adsorption and/or ozonation resulted in an increased efficiency of colour and turbidity removal by 2 and 4%, respectively. The highest increase in efficiencies of OXI, TOC, DOC and UV254 removal, by 12, 12, 11 and 11%, was observed for the connection of ozonation with coagulation and adsorption. The efficiency of metal ion removal from modified water observed for the single coagulation process was 58 and 55% for copper and 46 and 43% for zinc, respectively, for initial concentrations of 0.5 and 1.0 mg/L. The intensification of coagulation with ozonation and adsorption resulted in metal removal on the level of 66 and 62% for copper and 62 and 54% for zinc.
Envisioning a BHET Economy: Adding Value to PET Waste
Authors: Westover Clarissa C. , Long Timothy E.
Published: December 2023

Poly(ethylene terephthalate), the fifth most produced polymer, generates significant waste annually. This increased waste production has spurred interest in chemical and mechanical pathways for recycling. The shift from laboratory settings to larger-scale implementation creates opportunities to explore the value and recovery of recycling products. Derived from the glycolysis of PET, bis(2-hydroxyethyl) terephthalate (BHET) exhibits versatility as a depolymerization product and valuable monomer. BHET exhibits versatility and finds application across diverse industries such as resins, coatings, foams, and tissue scaffolds. Incorporating BHET, which is a chemical recycling product, supports higher recycling rates and contributes to a more sustainable approach to generating materials. This review illuminates the opportunities for BHET as a valuable feedstock for a more circular polymer materials economy.
Strategic Sensor Placement in Expansive Highway Networks: A Novel Framework for Maximizing Information Gain
Authors: Yang Yunxiang , Yang Jidong J.
Published: December 2023

Traffic sensors play a pivotal role in monitoring and assessing network-wide traffic conditions. However, the substantial costs associated with deploying an extensive sensor network across real-world highway systems can often prove prohibitive. Thus, the strategic selection of optimal sensor locations within budget and resource constraints becomes imperative, leading to the well-known Traffic Sensor Location Problem (TSLP). In this study, we introduce a novel framework to address the TSLP for large-scale highway networks, focusing on maximizing information gain in a joint vector space that comprehensively captures both network topology and segment-level features. To solve this optimization problem, we devised a genetic algorithm (GA) with penalty handling. Additionally, we developed a physics-guided random walk algorithm, which not only significantly reduces the search space but offers remarkable flexibility in striking a practical balance between computational load and the confidence of achieving global optimality. For illustration purposes, the proposed framework was applied to the Savannah highway network in Georgia. The results from our GA method align well with those from exhaustive research, but with significantly reduced computational time. By leveraging information theory and maximizing information gain in a low-dimensional vector space, the proposed framework permits parallel, scalable computation and offers considerable potential in the strategic planning and deployment of various sensors for expansive, real-world highway networks.
TGF-β Regulates m6A RNA Methylation after PM2.5 Exposure
Authors: Wu Tingting , Liu Bingqian , Wei Yongjie , Li Zhigang
Published: December 2023

PM2.5 exposure leads to a variety of respiratory diseases, including pulmonary fibrosis, metastatic lung cancer, etc. Exposure to PM2.5 results in the alteration of epigenetic modification. M6A RNA methylation is an essential epigenetic modification that regulates gene expression at the post-transcriptional level. Our previous study found that PM2.5 exposure up-regulated m6A RNA methylation and TGF-β expression level in the lung, but the mechanisms and pathways of PM2.5 regulation of m6A RNA methylation are still unclear. Moreover, a previous study reported that the TGF-β signal pathway could regulate m6A RNA methylation. Based on this evidence, we investigate the role of the TGF-β signaling pathway in PM2.5-induced m6A RNA methylation with the A549 cell line. Our results showed that PM2.5 could induce upregulation of m6A RNA methylation, accompanied by increased expression of TGF-β, Smad3, methyltransferase-like 3 (METTL3), methyltransferase-like 14 (METTL14). Furthermore, these alterations induced by PM2.5 exposure could be reversed by treatment with TGF-β inhibitor. Therefore, we speculated that the TGF-β signal pathway plays an indispensable role in regulating m6A RNA methylation after PM2.5 exposure. Our study demonstrates that PM2.5 exposure influences m6A RNA methylation by inducing the alteration of the TGF-β signal pathway, which could be an essential mechanism for lung-related diseases induced by PM2.5 exposure.
A Vehicle Density Estimation Traffic Light Control System Using a Two-Dimensional Convolution Neural Network
Authors: Mathiane Malose John , Tu Chunling , Adewale Pius , Nawej Mukatshung
Published: December 2023

One of the world’s challenges is the amount of traffic on the roads. Waiting for the green light is a major cause of traffic congestion. Low throughput rates and eventual congestion come from many traffic signals that are hard coded, irrespective of the volume of the amount of traffic. Instead of depending on predefined time intervals, it is essential to build a traffic signal control system that can react to changing vehicle densities. Emergency vehicles, like ambulances, must be given priority at the intersection so as not to spend more time at the traffic light. Computer vision techniques can be used to improve road traffic signal control and reduce real-time traffic delays at intersections without the requirement for substantial infrastructure analysis. Long wait times and significant energy consumption are just two of the problems of the current traffic signal control system. To optimal efficiency, the traffic signal’s duration must be dynamically changed to account for current traffic volume. To lessen congestion, the approach taken in this research focuses on modifying traffic signal time determined by the density of vehicles at the crossroads. The main purpose of this article is to demonstrate heavy traffic and emergency vehicle prioritization from all directions at the traffic intersection for a speedy passage. Using the Pygame tool, the proposed method in this study, which includes a mechanism for estimating traffic density and prioritization by counting vehicles at a traffic junction, is demonstrated. The vehicle throughput for the adaptive traffic light built using Pygame is compared with the vehicle pass rate for the adaptive traffic light built using Simulation of Urban Mobility (SUMO). The simulation results show that the adaptive traffic light built using Pygame achieves 90% throughput compared to the adaptive traffic light built using SUMO. A Two-Dimensional Convolutional Neural Network (2D-CNN) is implemented using Tensorflow for vehicle classification. The 2D-CNN model demonstrated 96% accuracy in classifying vehicles using the test dataset. Additionally, emergency vehicles, such as ambulances, are given priority for quick passing.
Physics-Based Watercraft Simulator in Virtual Reality
Authors: Ervin Kelly , Boone Jonathan , Smink Karl , Savant Gaurav , Martin Keith , Bak Spicer , Clark Shyla
Published: December 2023

In this paper, watercraft and ship simulation is summarized, and the way that it can be extended through realistic physics is explored. A hydrodynamic, data-driven, immersive watercraft simulation experience is also introduced, using the Unreal Engine to visualize a Landing Craft Utility (LCU) operation and interaction with near-shore waves in virtual reality (VR). The VR application provides navigation scientists with a better understanding of how coastal waves impact landing operations and channel design. FUNWAVE data generated on the supercomputing resources at the U.S. Army Corps of Engineers (USACE) Engineering Research and Development Center (ERDC) are employed, and using these data, a graphical representation of the domain is created, including the vessel model and a customizable VR bridge to control the vessel within the virtual environment. Several dimension reduction methods are being devised to ensure that the FUNWAVE data can inform the model but keep the application running in real time at an acceptable frame rate for the VR headset. By importing millions of data points output from the FUNWAVE version 3.4 software into Unreal Engine, virtual vessels can be affected by physics-driven data.
Spatial Attention in Visual Working Memory Strengthens Feature-Location Binding
Authors: Joe Juyeon , Kim Min-Shik
Published: December 2023

There is a debate about whether working memory (WM) representations are individual features or bound objects. While spatial attention is reported to play a significant role in feature binding, little is known about the role of spatial attention in WM. To address this gap, the current study required participants to maintain multiple items in their WM and employed a memory-driven attention capture paradigm. Spatial attention in WM was manipulated by presenting an exogenous cue at one of the locations that memory items had occupied. The effects of spatial attention on attention guidance in visual search (Experiment 1) and memory performance (Experiments 1 and 2) were explored. The results show that WM-driven attention guidance did not vary based on whether the search features came from the same object in WM; instead, it depended on the number of features, regardless of their source object. In memory tasks, the cued object outperformed the uncued object. Specifically, the test item was better rejected when the features were mis-bound in the cued location than in the uncued location. These findings suggest that memory-driven attention guidance is feature-based, and spatial attention in WM helps bind features into object structures based on location.
Removal of Nitrate Nitrogen from Municipal Wastewater Using Autotrophic Denitrification Based on Magnetic Pyrite
Authors: Zhang Bowei , Zhao Changsheng , Liu Ting , Wang Xiaokai
Published: December 2023

As the problem of eutrophication of water bodies and nitrate pollution of surface and groundwater is becoming more and more prominent, deep denitrification of wastewater can effectively reduce the amount of nitrate nitrogen (NO3−-N) discharged into natural water bodies. To solve this problem, in this research, the autotrophic denitrifying bacteria were incorporated in an autotrophic denitrification simulator equipped with magnetic pyrite to remove NO3−-N and total nitrogen (TN) from wastewater. The purified strains were inoculated into municipal sewage. When the ratio of magnetic pyrite to quartz sand was 1:1 and the particle size of the filler was 0.5–1 mm, the removal rate of NO3−-N and TN was optimized, at 93.52% and 83.22%, respectively. Sulphate (SO42−) concentrations will level off during stable system operation, and SO42− concentrations show a positive correlation with NO3−-N and TN removal. The 16s rDNA sequencing analysis of the screened sludge showed that the main phyla in the screened and purified sludge were Epsilonbacteraeota and Proteobacteria, with an abundance of 65.83% and 26.88%, and the final enriched products were dominated by Sulfurimonas and Thiobacillus, with an abundance of 64.91% and 9.32%, respectively. The results showed that autotrophic denitrifying bacteria could be screened and purified using thiosulfate as a substrate, and that the use of magneto pyrite as an electron donor reduced most of the NO3−-N to N2, while reducing the TN content.
Environmental Risk Assessment of the Harbin Section of the Songhua River Basin Based on Multi-Source Data Fusion
Authors: Zhao Ying , Sun Huige , Tang Jingrui , Li Ying , Sun Zhihao , Tao Zhe , Guo Liang , Chang Sheng
Published: December 2023

Surface water is a vital resource for human survival. However, economic and social development has resulted in significant pollutants from human activities, causing environmental pollution in watersheds. This pollution has had a profound impact on the surface water environment. However, limited studies have been conducted on the environmental risk evaluation of the watershed. In this study, we accounted for agricultural, industrial, and domestic source discharges in the districts and counties of the Harbin section of the Songhua River Basin for 2021. Data were collected from Statistical Yearbooks and governmental departments, and the characteristics of pollutant discharges in Harbin’s districts and counties were analyzed. Subsequently, we employed the Back Propagation neural network optimization method, combining remote sensing data, accounting data, pollution discharge data from each district and county, and economic and social data from the Statistical Yearbook and literature. This fusion of multiple data sources facilitated the construction of a watershed environmental risk evaluation system. The analysis considered four levels: economic and social, resource load, environmental infrastructure, and pollution discharge. Via this comprehensive evaluation, we identified the reasons for environmental risks in the water environment of the Harbin section of the Songhua River Basin. The evaluation results indicate that Nangang District, Xiangfang District, and Pingfang District face a higher risk to the water environment. Consequently, recommendations for mitigating water environment risks in these areas and across Harbin City are presented. The research methods and findings in this paper contribute valuable insights for developing control strategies to manage water quality in critically polluted areas of the Harbin section of the Songhua River Basin, providing a scientific foundation for regional river water quality management studies.
An Optimal Model and Application of Hydraulic Structure Regulation to Improve Water Quality in Plain River Networks
Authors: Huang Fan , Zhang Haiping , Wu Qiaofeng , Chi Shanqing , Yang Mingqing
Published: December 2023

The proper dispatching of hydraulic structures in water diversion projects is a desirable way to maximize project benefits. This study aims to provide a reliable, optimal scheduling model for hydraulic engineering to improve the regional water environment. We proposed an improved gravitational search algorithm (IPSOGSA) based on multi-strategy hybrid technology to solve this practical problem. The opposition-based learning strategy, elite mutation strategy, local search strategy, and co-evolution strategies were employed to balance the exploration and exploitation of the algorithm through the adaptive evolution of the elite group. Compared with several other algorithms, the preponderance of the proposed algorithm in single-objective optimization problems was demonstrated. We combined the water quality mechanism model, an artificial neural network (ANN), and the proposed algorithm to establish the optimal scheduling model for hydraulic structures. The backpropagation neural network (IGSA-BPNN) trained by the improved algorithm has a high accuracy, with a coefficient of determination (R2) over 0.95. Compared to the two traditional algorithms, the IGSA-BPNN model was, respectively, improved by 1.5% and 0.9% on R2 in the train dataset, and 1.1% and 1.5% in the test dataset. The optimal scheduling model for hydraulic structures led to a reduction of 46~69% in total power consumption while achieving the water quality objectives. With the lowest cost scheme in practice, the proposed intelligent scheduling model is recommended for water diversion projects in plain river networks.
Removing Norfloxacin from Aqueous Solutions Using Biochar Derived from Waste Disposable Bamboo Chopsticks
Authors: Zhang Ming , Shao Shuai , Li Penghui , Zhou Runjuan
Published: December 2023

The presence of antibiotics in water environments increases the resistance of bacterial and can also cause irreversible damage to ecosystems and the human body. In this study, disposable bamboo chopsticks were used as raw material to prepare bamboo biochar (BB) via oxygen-limited pyrolysis to remove norfloxacin (NOR) from aqueous solutions. The properties of the BB were explained through the characterization of its SBET, morphology, structure, and functional groups. The effects of the dosage, pH, ionic strength, and water type on the removal of NOR using BB were investigated. The maximum theoretical adsorption capacities (Qmax) of NOR removed by BB at 25, 35, and 45 °C obtained using the Langmuir model were 76.17, 77.22, and 105.19 mg/g, respectively. To facilitate a comparison with other types of biochar, this study also prepared biochar of rice straw, wheat straw, soybean straw, corn straw, rape straw, peanut shell, Eichhornia crassipes, and other biomass raw materials under the same preparation conditions as the BB. The results demonstrated that the removal rate of NOR using BB was the highest under the same adsorption conditions, reaching 99.71%. Biochar from waste disposable bamboo chopsticks can be used for the treatment of new types of pollutants in water bodies, such as antibiotics and other organic contaminants, which will help to achieve sustainable solid waste management.
Wildlife Roadkill Driven by Hydrological Regime in a Subtropical Wetland
Authors: Tassi Rutineia , Seidel Enio Júnior , Motta-Marques David da , Villanueva Adolfo , Kalin Latif
Published: December 2023

This study explored the role of the hydrological regime as a trigger factor for wildlife roadkill along a 22 km road crossing the Taim Wetland, a Ramsar site of international importance in South Brazil. The north–south crossing of BR-471, a federal highway, causes fatalities to numerous animals due to collisions with vehicles. An 11-year long-term time series study encompassing monthly roadkill incidents, water level, and rainfall was analyzed by considering three different periods related to a Wildlife Protection System (WPS): (i) 3 initial years before the WPS implementation (BWPS); (ii) 4 intermediate years after the WPS implementation (AWPS), which includes fences, fauna tunnels, cattle guard stocks, bumps, and speed control; (iii) 4 final years during partial destruction of the WPS (PDWPS). A pseudo-2D full hydrodynamic cell model was employed to fill missing water level data. The model had a good to very good performance (NSE: 0.73 to 0.87; R2: 0.79 to 0.90). The relationship between roadkill incidents and the WPS periods (BWPS, AWPS, and PDWPS) was modeled using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), considering rainfall and water level as predictor variables. The analysis revealed a higher incidence of wildlife roadkill in BWPS compared to AWPS and PDWPS, suggesting the effectiveness of the implemented measures. Critical season and interplay between water levels, rainfall, and the roadkill were assessed. Mammals was the most common roadkill class identified (~92%), followed by reptiles (13%) and birds (2%), with no change in these percentual in the BWPS, AWPS, and PDWPS. Among mammals, capybara (Hydrochoerus hydrochaeris) and coypu (Myocastor coypu) were the most frequent victims (~93% of mammals). Winter, followed by autumn, recorded the highest number of roadkill incidents (>60%), and this pattern remained consistent during the three periods. While rainfall did not emerge as a determining variable for roadkill, water levels above certain thresholds (>3.3 m) drastically diminished the effectiveness of the WPS, mainly due to fauna tunnel submersion. These findings offer valuable insights for enhancing wildlife conservation strategies in this protected area by incorporating hydrological information providing a baseline for designing WPS in similar environments.
Designing Water Inter-Plant Networks of Single and Multiple Contaminants through Mathematical Programming
Authors: Shoaib Abeer M. , Atawia Amr A. , Hassanean Mohamed H. , Gadallah Abdelrahman G. , Bhran Ahmed A.
Published: December 2023

Water is the meaning of life for humans, agricultural and industrial processes; controlling the distribution of water and wastewater between industrial processes is very vital for rationalizing water and preserving the environment. This paper addresses a mathematical approach to optimizing water inter-plant networks. The water network problem is formulated as a nonlinear program (NLP) that is solved by LINGO Software, version 14.0. A generalized two-step mathematical model is designed to be valid for solving networks containing large numbers of sources and sinks. The introduced model is proposed to be used for both single and multiple contaminant problems with up to six contaminants. Two mathematical models are presented to design water inter-plant networks efficiently. Firstly, the introduced model is solved by LINGO, in which the data given are applied; the obtained results are simultaneously sent to a second model (based on Excel Software 2019, v. 16.0), by which the obtained water networks are automatically drawn. The proposed approach has been applied in three case studies; the first case study contains five plants of single contaminants, the second case study contains three plants of single contaminants, and the third case study contains three plants of multiple contaminants. The results showed a noticeable reduction in the percentages of freshwater consumption in the investigated three case studies, which were 38.6, 4.74 and 8.64%, respectively, and the wastewater discharge of the three case studies were decreased by 38.1, 4.61 and 8.65%, respectively.
Attribution Analysis on Areal Change of Main Wetland and Its Influence on Runoff in the Naolihe River Basin
Authors: Ding Hong , Zeng Qinghui , Yang Qin , Liu Huan , Hu Peng , Zhu Haifeng , Wang Yinan
Published: December 2023

Wetlands have powerful runoff regulation functions, which can effectively store and retain surface runoff. The runoff regulation function of wetlands is affected by wetland areas, which affect the capacity of flood control. To explore the law of the area change of the main wetlands of the Naolihe River Basin (MWNRB), the visual interpretation method was used to extract wetlands. To identify the reasons for area changes in the MWNRB, the maximum likelihood method, minimum distance method, and neural network method were used to classify land use types from remote sensing images; the M-K variation point test and Theil-Sen trend analysis were used to test the variation point and calculate the trend of precipitation and temperature series. To clarify the influence of wetland areas on runoff, the Gini coefficient and SRI of runoff were used to calculate runoff temporal inhomogeneity. The results showed that the area of the MWNRB obviously decreased, with 74.5 × 106 m2/year from 1993 to 2008, and increased slowly from 2008 to 2015, with 27.7 × 106 m2/year. From 1993 to 2008, 50.74% and 38.87% of wetlands were transformed into paddy fields and dry fields, respectively. From 2008 to 2015, 61.69% and 7.76% of wetlands were transformed from paddy fields and dry fields, respectively. The temperature of the MWNRB increased slowly by 0.04 °C/year from 1993 to 2008 and increased obviously by 0.16 °C/year from 2008 to 2015. The precipitation decreased by 5.6–8.1 mm/year and increased by 16.6–41.2 mm/year in 1993–2008 and 2008–2015, respectively. Compared with precipitation and temperature, land use change caused by human activities is the main cause of wetland area change. The area change of the MWNRB has a certain influence on the runoff regulation and storage capacity. The Gini coefficient and SRI index increased from 0.002/year (0.008) to 0.023/year from 1993 to 2008 and decreased from 0.046/year (0.045) to 0.161/year from 2008 to 2015, respectively.
TF-YOLO: A Transformer–Fusion-Based YOLO Detector for Multimodal Pedestrian Detection in Autonomous Driving Scenes
Authors: Chen Yunfan , Ye Jinxing , Wan Xiangkui
Published: December 2023

Recent research demonstrates that the fusion of multimodal images can improve the performance of pedestrian detectors under low-illumination environments. However, existing multimodal pedestrian detectors cannot adapt to the variability of environmental illumination. When the lighting conditions of the application environment do not match the experimental data illumination conditions, the detection performance is likely to be stuck significantly. To resolve this problem, we propose a novel transformer–fusion-based YOLO detector to detect pedestrians under various illumination environments, such as nighttime, smog, and heavy rain. Specifically, we develop a novel transformer–fusion module embedded in a two-stream backbone network to robustly integrate the latent interactions between multimodal images (visible and infrared images). This enables the multimodal pedestrian detector to adapt to changing illumination conditions. Experimental results on two well-known datasets demonstrate that the proposed approach exhibits superior performance. The proposed TF-YOLO drastically improves the average precision of the state-of-the-art approach by 3.3% and reduces the miss rate of the state-of-the-art approach by about 6% on the challenging multi-scenario multi-modality dataset.
‘You Don’t Get Ditched’—Young People’s Mental Health and Youth Work: Challenging Dominant Perspectives
Authors: Elsen Felix , Ord Jon
Published: December 2023

This paper presents the findings of research focused on a youth work project which specializes in working with young people experiencing a variety of mental health issues, in the southwest of England. The qualitative data from the young people, youth workers, and stakeholders demonstrate the significance of a person-centered, asset-based approach to improving young people’s experiences with mental health. It provides a countervailing narrative to the dominant diagnostic and problematized focus of mental health services for young people. The research provides evidence that mental health for young people can be strengthened—even for those experiencing significant problems—through group work activities that develop resilience, confidence, and builds on their inherent strengths. This approach enables young people to develop their own responses to their problems rather than rely on external interventions that are orientated toward treatment. The research suggests that young people’s mental ill health in certain circumstances may well be improved by youth work rather than through a medicalized approach.
A 2023. tavaszi amerikai bankcsődök bankszakmai elemzése II. : Második rész: Valós kockázatok, (téves) diagnózisok, (téves) javaslatok
Authors: Király Júlia , Mikolasek András
Published: December 2023

2023 márciusában bankpánik alakult ki az amerikai piacon, amely Európát is érintette. A pánik rövid életűnek bizonyult, nem lettek tartós reálgazdasági következményei, amelyek indokolnák a jelenlegi bankmodell teljes felülvizsgálatát. Tanulmányunk első részében a három amerikai bank bukáshoz vezető útjának részleteit mutattuk be. A jelenlegi második részben a banki kockázatok mélyére ásva elemezzük a három esetet. Megmutatjuk, hogy a legszofisztikáltabb kockázati mutatók sem képesek megbízhatóan előre jelezni egy ilyen pánikot és annak következményeit. A bukásban leginkább a bankok elhibázott üzleti modellje, vállalati és kockázatkezelési kultúrája játszotta a meghatározó szerepet, ami miatt képtelenek voltak a gyors növekedésből és az összekapcsolt ügyfélhálóból eredő veszélyeket kezelni. A jövőbeli felügyeleti vizsgálatoknak a mechanikus mutatóelemzés helyett erre kell fókuszálniuk.
Servant-Leadership in Nursing Education
Authors: Todt Kendrea , Covington Sarah
Published: December 2023

Recent changes in healthcare policy including the sentinel paper from the Institutes of Medicine, now known as the National Academy of Medicine, 2010 report, The Future of Nursing: Leading Change, Advancing Health and the most recent, The Future of Nursing 2020-2030: Charting a Path to Achieve Health Equity reports have demonstrated the changing role of nurses creating a growing need for nurse leaders. The healthcare industry is seeking to find a leadership style that will facilitate the goals of providing quality care in a collaborative environment. With its natural focus on service, the style of the servant-leader is one option. A literature critique of servant-leadership, nursing and nursing education revealed a lack of research in this area. The authors wrote this article to elucidate existing literature on the topic and discus why further research into the need to incorporate servant-leadership into nursing education is important to facilitate the advancement of the profession.
Desarrollo de un MEC para la comprensión de características temporales de las señales en el área de telecomunicaciones
Authors: Giura Marzano Alfonso José , Ramos Guerrero Marbellys Alejandra
Published: December 2023

En los últimos años el desarrollo de la tecnología computacional ha generado grandes cambios directamente sobre los métodos de enseñanza y aprendizaje tradicionales en la ingeniería, específicamente en las áreas de estudio con fenómenos intangibles a la vista como es el caso de la ingeniería de telecomunicaciones. Como objetivo principal se desarrolló de un MEC para la comprensión de las características temporales de las señales más frecuentes en el área de las telecomunicaciones. Para ello, se realizó una investigación exhaustiva con el fin de determinar y clasificar las señales más frecuentes en las telecomunicaciones. Seguidamente se elaboró un diseño instruccional como recurso metodológico principal para el desarrollo del software, el cual fue programado en lenguaje Python mediante el uso de librerías de análisis como Numpy y graficadoras como Matplotlib. Se diseñó un MOOC en la plataforma edX como complemento educativo, para acceder al MEC, siendo éste multiplataforma. Para evaluar el impacto académico, se utilizó un instrumento de evaluación para la determinación de la eficiencia de MECSYS.
EFEKTIVITAS KONSUMSI BAWANG PUTIH PANGGANG, RELAKSASI NAPAS DALAM, DAN RELAKSASI AUTOGENIK TERHADAP PENURUNAN TEKANAN DARAH PENDERITA HIPERTENSI
Authors: Susmadi Susmadi , Sunita Anna , Sutiarti Eti , Ngadiarti Iskari
Published: December 2023

Hypertension is a worldwide health problem that causes complications of kidney damage, coronary heart disease, stroke, disability, and even death. Roasted garlic, slow deep breathing relaxation, and autogenic relaxation are complementary alternative therapies that have not been fully utilized. These therapies are scientifically meaningful, so they need to be developed. This study aimed to determine the effectiveness of roasted garlic consumption, autogenic relaxation, deep breath relaxation on blood pressure reduction. The research design is Quasi-Experiment with control group Pre-test Post-test. Sampling method using non-probability random sampling - purposive sampling. The sample in 1 group is at least 30 respondents. Anticipating lost to follow-up of 10%, each group was 31-32 respondents. The sample was of productive age in the West Bogor. All groups were given hypertension management leaflets. Intervention group I consumed roasted garlic for 3 days at the rate of 15-17 grams morning and evening. Intervention group II performed breath relaxation morning and evening for 3 days. Intervention group III performed autogenic relaxation, while the control group was only given hypertension management leaflets. The results showed that consumption of roasted garlic compared to the control on systole p=0.001 and diastole p=0.001, autogenic relaxation compared to the control, systole p=0.042 and diastole p=0.009, deep breath relaxation compared to the control, obtained systole p=0.367 and diastole p=0.125. It is concluded that roasted garlic is more effectively used to reduce hypertensive patients' systole and diastole blood pressure. The recommendation is that roasted garlic can reduce blood pressure in hypertensive patients.
Comercio Internacional Post Covid: Análisis del Comercio Exterior de Ecuador
Authors: Gómez Sánchez Célida Sabina
Published: December 2023

La pandemia del COVID-19 vino a profundizar desfavorablemente la situación del comercio internacional a nivel mundial que ya estaba afectado desde la crisis financiera de EEUU en el año 2009 y que a partir del año 2018 la guerra comercial entre China y EEUU habían contribuido a establecer un panorama de bajo crecimiento principalmente del comercio de mercancías respecto al comercio de servicios que debido a sus formas de acceso tenía un crecimiento favorable. La situación de nuestro país a fines del 2019 no era la mejor, una economía afectada por malos gobiernos, corrupción y la afectación en el precio del principal generador de ingresos para nuestro país como el petróleo trajeron como consecuencia desempleo, más recesión, etc. El COVID fue el detonante que agudizó la crisis que sufrió después el comercio internacional y todos los esfuerzos no solo en materia de salud y control que se han efectuado, de los esfuerzos de los organismos internacionales como la OMC, regionales como la CEPAL, ALADI, la CAN aún no se ha logrado llegar a los niveles de intercambio comercial que se tenía antes de que apareciera el virus. Este trabajo tiene como objetivo realizar una mirada retrospectiva al comercio mundial en la pandemia, su afectación, las medidas que se han implementado y a nivel de nuestro país. El panorama para nuestros principales sectores exportadores, posibles contingencias que coadyuven a incrementar el volumen de las exportaciones y poder aprovechar las oportunidades que, aún en esta situación desfavorable podemos crear como país.
Educational Values in Digital Games
Authors: Jukić Dinko
Published: December 2023

The aim of the study is to research, analyse and explain the media values and educational values of digital games. The work is based on the philosophy of education according to Vuk-Pavlović and the semiotics of the media according to Barthes’ theory. The aspect of media pedagogy towards digital media is discussed, especially the context of adventures and interactive drama. It answers the question of what the hidden meanings of digital games are. The author starts from the hypothesis that digital games users receive media messages on a semiotic level, and by deconstructing symbols, educational values and media meanings are revealed. The context of media literacy was observed from the aspect of understanding the symbols of digital games in accordance with media competencies. Since digital games reflect social reality, at least in the context of messages, attitudes and values, media competences represent the ability to understand and compare cultural and media literacy. In this sense, digital games have a specific aesthetic, ideological, pedagogical, and symbolic impact on users, which results from the critical thinking of society. Kellner’s theory of media culture will help us to understand the reasons why certain content, symbols and myths become popular and to raise awareness of the social environment of media culture from which digital games emerge. The research results of this study confirm that the observed digital games have educational values and that media meanings are deconstructed through semiotic analysis. This is especially true of the archetypal roles of parents and guardians.
The Emotional Intelligence and Social Media Addiction in Communication Undergraduate Students in Turkey: The Impact of Emotional Intelligence, Demographic Variables and Social Media Use Habits on Social Media Addiction
Authors: Şahin Emine , Akçay Bekiroğlu Habibe
Published: December 2023

This study’s aim is to investigate the relationship between emotional intelligence (EI) and social media addiction (SMA) in Communication undergraduate students in Turkey. In addition to EI, the impact of demographic variables and social media use habits on SMA were investigated. For the study, quantitative method was chosen, and an online questionnaire was conducted on 317 Communication undergraduate students in Turkey with 301 participants being the final sample from different cities in Turkey. As a result of the study, analyses indicated that EI and SMA were related at medium and low levels. The EI partly predicted SMA. It was determined with Path analysis that intrapersonal skills, dealing with stress and adaptability could be statistically significant predictors of SMA sub-dimensions virtual tolerance and virtual communication at a negative level, and time spent on social media, number of posts on social media could have a significant impact on students’ SMA at a positive level. This research differs from other research conducted in Turkey in terms of SMA being examined with the focus of EI.
Buddhistische Interpretationen Jesu
Authors: Schneider Mathias
Published: December 2023

Wie wird Jesus Christus im Buddhismus wahrgenommen? Dieser in der Forschung bislang vernachlässigten Frage geht Mathias Schneider in einer umfassenden Studie nach. Er analysiert die ganze Bandbreite buddhistischer Interpretationen Jesu, die von der Dämonisierung bis zur Einordnung als Buddha reicht. Seine religionshistorische Untersuchung umfasst die globale buddhistisch-christliche Begegnungsgeschichte – vom 16. Jahrhundert bis in die Gegenwart und von Sri Lanka über Thailand, Japan, China, Vietnam, Tibet und Deutschland bis in die USA. Im Anschluss daran untersucht der Autor die theologischen Rückwirkungen für die christliche Theologie, wenn diese sich auf buddhistische Jesusdeutungen einlässt oder sie ablehnt. Am Ende steht die Frage nach den Möglichkeiten einer interreligiösen, buddhistisch-christlichen Christologie.
Mise en danse de King Lear-Prospero par Maurice Béjart, la théâtralité au service du sens
Authors: Servian Claudie
Published: December 2023

La danse oscille entre l’expression et la forme, danse pure et danse théâtrale privilégiant l’une ou l’autre selon l’époque et les créateurs. Qu’est-ce qui dans le corps permet l’exercice de la pratique théâtrale ? Le corps dansant est traversé par un désir de langage ; il se situe entre sens et sensation. Les œuvres de Shakespeare ont souvent suscité l’intérêt des chorégraphes qui se posent alors la question du « comment signifier ? », comment mettre en danse le récit d’une œuvre théâtrale ? Quels points de repère permettent de comprendre par quelles modalités la danse peut renvoyer aux conventions du théâtre ? Dans cet article, nous nous intéressons à la façon dont Maurice Béjart allie la chorégraphie littérale du récit de King Lear à sa décomposition pour le rendre plus expressif et significatif. Au‑delà du motif du héros, l’artiste s’affranchit du simple propos illustratif en transposant la narration en mouvements dansés pour donner au texte une valeur universelle.
Makna dan Alasan Dibalik Orang Tua Memberikan Fasilitas Gadget Kepada Anak Usia Dini
Authors: Juliansyah Muhamad Andre , Purba Veny
Published: December 2023

Dalam kehidupan sehari-hari manusia pasti tidak terlepas dari kebutuhan berkomunikasi. Salah satu alat yang dibutuhkan untuk berkomunikasi yaitu gadget (handphone). Kecanggihan teknologi yang begitu pesat banyak menawarkan fitur yang beragam dan memberikan dampak positif sehingga semua kalangan memiliki gadget bahkan anak usia dini pun sudah memiliki gadget. Akan tetapi terlepas dari dampak positif yang dihasilkan oleh gadget, adapun dampak negatif dari penggunaan gadget untuk anak-anak seperti resiko terkena radiasi, penyalahgunaan konten sensitif, resiko menjadi pengguna yang aktif (ketergantungan) dan tidak bersosialisasi dengan orang lain, dan lain sebagainya. Adapun tujuan dari penelitian ini yaitu untuk mengetahui apa alasan para orang tua memfasilitasi gadget kepada anak yang masih berusia dini. Teori analisis yang digunakan pada penelitian ini yaitu teori fenomenologi yang dikemukakan oleh Alfred Schutz. Penelitian ini menggunakan pendekatan kualitatif dengan menggunakan metode studi deskriptif. Teknik pengumpulan data yang digunakan yaitu dengan observasi, wawancara, dan dengan studi literatur sedangkan teknik analisis data yang dipakai yaitu triangulasi data. Hasil penelitian ini menunjukkan bahwa alasan memberikan orang tua memberikan fasilitas gadget kepada anaknya yaitu karena sebagai media pembelajaran, untuk alat komunikasi, sebagai alat bermain, dan untuk menyenangkan anak.
Investigation of heat-dissipation structures in resonant tunneling diodes and their characteristics on terahertz oscillators
Authors: Tanaka Hiroki , Fujikata Hidenari , Han Feifan , Suzuki Safumi
Published: December 2023

This study investigates the heat dissipation structures for resonant tunneling diodes (RTDs). The n+-InGaAs conductive layer beneath the RTD double-barrier layer, which possesses low thermal conductivity and disrupting heat dissipation, has been replaced with n+-InP, which has high thermal conductivity. We manufactured simple RTD mesa structures with varying areas to analyze the impact of heat dissipation. Additionally, we conducted a study to explore the relationship between mesa area and power consumption at the RTD mesa under current–voltage measurements. The results clearly indicate that the proposed structure, incorporating an n+-InP layer, can function over an area twice as large without experiencing heat-induced destruction. By integrating this proposed structure, we successfully fabricated terahertz oscillators equipped with rectangular-cavity resonators. These oscillators achieved relatively high output power, approximately 0.2 mW was achieved at a frequency of 0.53 THz, all without any heat-induced damage, even within a large-area RTD device.
Overview of Oxygen Saturation in COVID-19 Patients Before Dispatching From UKRIDA Hospital in 2021
Authors: Perangin-angin Citra Rencana , Oktavia Eva , De Fretes Chelna Feliarossa
Published: December 2023

Coronavirus disease 2019 (COVID-19) is a disease that attacks the respiratory system with risk factors in the form of age, gender, and comorbid diseases. In addition, COVID-19 can affect oxygen saturation levels. Oxygen saturation is an indicator of oxygenation status by looking at the percentage of oxygen content in the arteries that binds to hemoglobin. The normal value for oxygen saturation is 95-100%. Objective to knowing the description of oxygen saturation of research respondents before treatment and before being discharged from UKRIDA Hospital which is influenced by age, gender and comorbid diseases. This study used a consecutive sampling method with a cross sectional design. There were 96 subjects who met the inclusion and exclusion criteria. Data collection was carried out using medical record data for the period January 1, 2021 to July 31, 2021. The results of data analysis using Chi-square with the results obtained that age and comorbid diseases have a relationship with changes in oxygen saturation levels (p-value <0.05). Meanwhile, gender had no relationship to changes oxygen saturation levels . There is a relationship between age and comorbid disease with changes in oxygen saturation levels before being discharged from UKRIDA Hospital with an average oxygen saturation of 97%.
The Relationship Between Maternal Knowledge Level and the Number of Pregnancy Check-Up Visits at the Grogol Petamburan Community Health Center
Authors: Gunawan Kathleen Juanita , Sumandyasa I Wayan , Fransiska Shelly , Wibawani Ninik , Jason Jason
Published: December 2023

Antenatal care is the health service carried out by health workers to the mother during her pregnancy antenatal service standard compliance. When examined more deeply that the process of maternal death has a long journey so that prevention can be done since the antenatal care through education related to maternal health. Therefore, knowledge of pregnant women about antenatal care is very important because it will help reduce maternal and infant mortality .The purpose of this research is to know the relation of knowledge of mother with antenatal care number of visit of the Puskesmas Kecamatan Grogol Petamburan Jakarta Barat. This research conducted by method of cross sectional, the selection of samples with a consecutive sampling with 52 sample respondents. Data collection is carried out by filling a questionnaire made by researchers and is completed by respondents. Collected data is analyzed by chisquare test with significance level (⍺) 0.05. Stastical analysis.showed significant relationship between knowledge of antenatal care and the number of antenatal care visits (p=0,001)
Prevalence of Neonatal Hyperbilirubinemia Based on Mother's and Infant's Blood Group in Cengkareng Hospital
Authors: Hutapea Andhika Tiurmaida , Susanto Suryadi , Anggraeni Novita , Salurante Gracela
Published: December 2023

Hyperbilirubinemia is an increase in bilirubin levels >5 mg/dL which is characterized by the appearance of pathological jaundice. In the 2017 SKDI, the neonatal mortality rate was 19 per 1000 live births. The purpose of this study was to find out the prevalence of neonatal hyperbilirubinemia based on the blood group of the mother and the baby at Cengkareng General Hospital for the period January to March 2023. This research was conducted from January to March 2023 with an observational descriptive nature. This research was conducted at Cengkareng Hospital, West Jakarta. The study concluded that ABO incompatibility is not the only factor that contributes to hyperbilirubinemia in neonates. The results showed that 15 (41.7%) babies with hyperbilirubinemia came from mothers with blood type O, while the majority of babies who experienced hyperbilirubinemia were babies with blood type O, namely 16 (44.4%) babies. The majority of infants who experienced hyperbilirubinemia occurred in infants with blood group O and mothers with blood type O, namely 11 (30.6%), followed by infants with blood group A and mothers with blood type A, namely 4 (11.1%).