bluuebunny/crossref_metadata_2025 huggingface dataset:
Advanced Hyperspectral Image Analysis: Superpixelwise Multiscale Adaptive T-HOSVD for 3D Feature Extraction
Authors: Dai Qiansen , Ma Chencong , Zhang Qizhong
Published: June 2024

Hyperspectral images (HSIs) possess an inherent three-order structure, prompting increased interest in extracting 3D features. Tensor analysis and low-rank representations, notably truncated higher-order SVD (T-HOSVD), have gained prominence for this purpose. However, determining the optimal order and addressing sensitivity to changes in data distribution remain challenging. To tackle these issues, this paper introduces an unsupervised Superpixelwise Multiscale Adaptive T-HOSVD (SmaT-HOSVD) method. Leveraging superpixel segmentation, the algorithm identifies homogeneous regions, facilitating the extraction of local features to enhance spatial contextual information within the image. Subsequently, T-HOSVD is adaptively applied to the obtained superpixel blocks for feature extraction and fusion across different scales. SmaT-HOSVD harnesses superpixel blocks and low-rank representations to extract 3D features, effectively capturing both spectral and spatial information of HSIs. By integrating optimal-rank estimation and multiscale fusion strategies, it acquires more comprehensive low-rank information and mitigates sensitivity to data variations. Notably, when trained on subsets comprising 2%, 1%, and 1% of the Indian Pines, University of Pavia, and Salinas datasets, respectively, SmaT-HOSVD achieves impressive overall accuracies of 93.31%, 97.21%, and 99.25%, while maintaining excellent efficiency. Future research will explore SmaT-HOSVD’s applicability in deep-sea HSI classification and pursue additional avenues for advancing the field.
Investigation of an Active Focusing Planar Piezoelectric Ultrasonic Transducer
Authors: Wu Qiao , You Bin , Zhang Xu , Tu Jun
Published: June 2024

Ultrasonic focusing transducers have broad prospects in advanced ultrasonic non-destructive testing fields. However, conventional focusing methods that use acoustic concave lenses can disrupt the acoustic impedance matching condition, thereby adversely affecting the sensitivity of the transducers. In this paper, an active focusing planar ultrasonic transducer is designed and presented to achieve a focusing effect with a higher sensitivity. An electrode pattern consisting of multiple concentric rings is designed, which is inspired by the structure of Fresnel Zone Plates (FZP). The structural parameters are optimized using finite element simulation methods. A prototype of the transducer is manufactured with electrode patterns made of conductive silver paste using silk screen-printing technology. Conventional focusing transducers using an acoustic lens and an FZP baffle are also manufactured, and their focusing performances are comparatively tested. The experimental results show that our novel transducer has a focal length of 16 mm and a center frequency of 1.16 MHz, and that the sensitivity is improved by 23.3% compared with the conventional focusing transducers. This research provides a new approach for the design of focusing transducers.
High Power Pulsed LED Driver for Vibration Measurements
Authors: Neri Paolo , Ciarpi Gabriele , Neri Bruno
Published: June 2024

Vibration measurements pose specific experimental challenges to be faced. In particular, optical methods can be used to obtain full-field vibration information. In this scenario, stereo-camera systems can be developed to obtain 3D displacement measurements. As vibration frequency increases, the common approach is to reduce camera exposure time to avoid blurred images, which can lead to under-exposed images and data loss, as well as issues with the synchronization of the stereo pair. Both of these problems can be solved by using high-intensity light pulses, which can produce high-quality images and guarantee camera synchronization since data is saved by both cameras only during the short-time light pulse. To this extent, high-power Light-Emitting Diodes (LEDs) can be used, but even if the LED itself can have a fast response time, specific electronic drivers are needed to ensure the desired timing of the light pulse. In this paper, a circuit is specifically designed to achieve high-intensity short-time light pulses in the range of 1 µs. A prototype of the designed board was assembled and tested to check its capability to respect the specification. Three different measurement methods are proposed and validated to achieve short-time light pulse measurements: shunt voltage measurement, direct photodiode measurement with a low-cost sensor, and indirect pulse measurement through a low-frame-rate digital camera.
Mangrove Species Classification from Unmanned Aerial Vehicle Hyperspectral Images Using Object-Oriented Methods Based on Feature Combination and Optimization
Authors: Ye Fankai , Zhou Baoping
Published: June 2024

Accurate and timely acquisition of the spatial distribution of mangrove species is essential for conserving ecological diversity. Hyperspectral imaging sensors are recognized as effective tools for monitoring mangroves. However, the spatial complexity of mangrove forests and the spectral redundancy of hyperspectral images pose challenges to fine classification. Moreover, finely classifying mangrove species using only spectral information is difficult due to spectral similarities among species. To address these issues, this study proposes an object-oriented multi-feature combination method for fine classification. Specifically, hyperspectral images were segmented using multi-scale segmentation techniques to obtain different species of objects. Then, a variety of features were extracted, including spectral, vegetation indices, fractional order differential, texture, and geometric features, and a genetic algorithm was used for feature selection. Additionally, ten feature combination schemes were designed to compare the effects on mangrove species classification. In terms of classification algorithms, the classification capabilities of four machine learning classifiers were evaluated, including K-nearest neighbor (KNN), support vector machines (SVM), random forests (RF), and artificial neural networks (ANN) methods. The results indicate that SVM based on texture features achieved the highest classification accuracy among single-feature variables, with an overall accuracy of 97.04%. Among feature combination variables, ANN based on raw spectra, first-order differential spectra, texture features, vegetation indices, and geometric features achieved the highest classification accuracy, with an overall accuracy of 98.03%. Texture features and fractional order differentiation are identified as important variables, while vegetation index and geometric features can further improve classification accuracy. Object-based classification, compared to pixel-based classification, can avoid the salt-and-pepper phenomenon and significantly enhance the accuracy and efficiency of mangrove species classification. Overall, the multi-feature combination method and object-based classification strategy proposed in this study provide strong technical support for the fine classification of mangrove species and are expected to play an important role in mangrove restoration and management.
Enhancing Year-Round Profitability for Small-Scale Ranchers: An Economic Analysis of Integrated Cattle and Mushroom Production System
Authors: Quaicoe Obed , Asiseh Fafanyo , Aloka Atta
Published: June 2024

Profitability remains elusive for many small-scale cattle farmers, as the high operational costs involved often require a larger herd to achieve a reasonable profit. This study uses key financial metrics and the Monte Carlo probabilistic simulation to evaluate the economic feasibility and viability of integrating cattle and mushroom production to enhance year-round profitability for small-scale ranchers. The study results illustrate a promising outlook for investing in the integration of cattle and mushroom production. This integrated system shows potential for generating significant returns with minimal risk over the long term. The Monte Carlo simulation indicates that combining mushroom farming with cattle farming could substantially decrease feed expenses, fertilizer costs for hay production, and overall operational expenditures, while also increasing revenue from mushroom sales.
Innovative Development of Rural Green Tourism in Ukraine
Authors: Roman Michał , Kudinova Iryna , Samsonova Viktoriia , Kawęcki Norbert
Published: June 2024

The purpose of the article was to investigate the potential of rural green tourism in Ukraine and to determine the main directions of its innovative development, taking into account global, national, and regional trends. SLR (Systematic Literature Review), methods of expert assessment, selective observation, and graphic method were used to achieve the set goal. The article analyzes the current state of rural green tourism in Ukraine; the tourism and recreation potential of rural areas of Ukraine was assessed; promising types of innovations that are currently relevant for implementation in the practice of providing services in the field of rural green tourism in Ukraine are defined and grouped; and the impact of global, national, and regional trends on the current stage of activity and further development of rural green tourism in Ukraine is determined. It is determined that in modern economic conditions, rural tourism serves as a stabilizing factor that will contribute not only to maintaining the normal living standards of rural residents, but also to the development of the region’s economy, service infrastructure, household services, and the social sphere. Thus, rural green tourism is the main tool for stimulating the economic and socio-cultural development of rural areas. The results of the assessment of the tourist and recreational potential of rural green tourism of Ukraine showed that the recreational and tourist attractiveness of rural areas is mainly determined by natural and ecological conditions, cultural and historical conditions, and the tourist infrastructure of the region. Financial economic, socio-demographic, and administrative management conditions negatively affect the recreational and tourist attractiveness of rural areas, resulting in the low ability of the rural population to implement innovations. It has been established that in order for the tourist business to be able to quickly adapt to the normal state, it is necessary to introduce innovative types of tourism that will make it possible to attract a larger number of people to the tourist business and establish additional income due to the introduction of innovative offers, new tours, visits to special places, and the entire range of services of the best quality, which will contribute to the accelerated implementation of online forms and digital tools in the provision of tourist services, etc. It has been proven that the introduction of innovations plays an important role in ensuring the sustainable and balanced development of rural tourism in Ukraine, contributing to the creation of new opportunities and improving the quality of tourist services.
Using MODFLOW to Model Riparian Wetland Shallow Groundwater and Nutrient Dynamics in an Appalachian Watershed
Authors: Abesh Bidisha Faruque , Anderson James T. , Hubbart Jason A.
Published: June 2024

Simulating shallow groundwater (SGW) flow dynamics and stream–SGW interactions using numerical modeling tools is necessary to develop a mechanistic understanding of water flow systems and improve confidence in water resource management practices. A three-dimensional (3D) SGW flow model was developed for a riparian wetland in a mixed forest and agricultural catchment in West Virginia (WV), Appalachia, USA, using a Modular 3D Groundwater Model (MODFLOW). The MODFLOW simulation was calibrated in steady (R2 = 0.98, ME = −0.21, and RMSE = 0.77), transient state (R2 = 0.97, ME = −0.41, and RMSE = 1.28) and validated (R2 = 0.97, ME = −0.28, and RMSE = 1.05) using observed SGW levels from thirteen nested piezometers under steady and transient states. An experimental MT3D transport scenario was developed to show the lateral transport of NO₃-N from the aquifer to stream cells. Relatively stable SGW head distribution was observed. In the downstream reach, SGW discharge varied from 948 m3/day to 907 m3/day in 2020, with creek seepage ranging from 802 m3/day to 790 m3/day. Similarly, SGW input to the stream ranged from 891 m3/day to 978 m3/day, while creek seepage ranged from 796 m3/day to 800 m3/day in 2021. In upstream reaches, losing stream conditions were observed in January, June, and September 2020 and January to April 2021, while gaining stream conditions prevailed during other months. Thus, an approximately monthly alternating gaining–losing stream condition was observed in the upstream area. An experimental MT3D transport scenario resulted in an advection–dispersion scenario, showing a cumulative loss of 947 g of NO3-N from SGW to the stream. Denitrification accounted for the cumulative loss of 1406 g of NO3-N from SGW, surpassing 639 g of nitrate from the SGW to the stream during the study period. Additionally, particle tracking using MODPATH indicated a long residence time for SGW nutrients, affirming the efficiency of nitrogen transformation through denitrification. This study is among the first to simulate hydrologic and nutrient interactions in riparian wetlands of a mixed land use catchment in the Appalachian region of the northeastern United States. The results better inform water resource management decisions and modeling efforts in the Appalachian region and similar physiographic regions globally.
Water Level Prediction and Forecasting Using a Long Short-Term Memory Model for Nam Ngum River Basin in Lao PDR
Authors: Kim Choong-Soo , Kim Cho-Rong , Kok Kah-Hoong , Lee Jeong-Min
Published: June 2024

The process of implementing neural networks in a computer system is known as deep learning. In this study, a deep learning model, namely long short-term memory (LSTM), was established to predict and forecast water levels for stations located at the Nam Ngum River Basin in Lao PDR. Water levels are predicted and forecasted based on the rainfall and water level data observed at previous time steps. It is proposed that the optimal sequence length for modeling should be determined based on the threshold of the correlation coefficient obtained from the water level and rainfall time series. The trained LSTM models in this study can be considered fair and adequate for water level prediction, as NSE values from 0.5 to 0.7 were mostly obtained from the model validations in the testing periods. The results showed that the autocorrelation and cross-correlation analysis did help in determining the optimal sequence length in an LSTM model. The performance levels of the LSTM model in forecasting future water levels in the Nam Ngum River Basin varied; the forecasted water level hydrographs for the Pakkayoung station generally corresponded with the observed ones, while the forecasted water level hydrographs for the other stations deviated significantly from the observed hydrographs.
Enhancing Hydrodynamic Performance of Floating Breakwaters Using Wing Plates
Authors: Al-Sairafi Fares Ali , Zhang Jisheng , Jiang Chaohua , Almansour Abdullah I. , Saleh Bassiouny
Published: June 2024

Understanding the dynamic response of floating breakwaters to wave forces is essential for optimizing their design and improving coastal protection. The response amplitude operator serves as a key parameter in accurately predicting the structural response amplitudes at different frequencies and wave angles. By incorporating this knowledge, adjustments can be made to enhance the effectiveness of floating breakwaters. In this study, a comprehensive 3D model of the mooring system is developed to simulate its behavior under various wave and current conditions. The model takes into account critical design factors such as pontoon shapes, anchor types, placements, and configurations. Through simulations, valuable insights are obtained regarding the performance of the wing-plate floating breakwater mooring system across different operational settings. These findings contribute to the optimization of floating breakwaters and their ability to protect coastlines from wave impacts.
Tecnolivro: uma abordagem inovadora integrando IA ao Microsoft Office para educação remota em análise e desenvolvimento de sistemas
Authors: Fausto Ilma Rodrigues de Souza , Braz Ruth Maria Mariani , Leta Fabiana Rodrigues
Published: June 2024

Este artigo apresenta o projeto TecnoLivro, uma abordagem inovadora que integra inteligência artificial (IA) ao Microsoft Office para aprimorar a experiência educacional no curso de Análise e Desenvolvimento de Sistemas (ADS) durante aulas não presenciais. O TecnoLivro proporciona aos alunos a oportunidade de criar um livro digital colaborativo, utilizando ferramentas como o Microsoft Word, PowerPoint, Paint e a plataforma de IA Copilot. A integração da IA ao Microsoft Office oferece novas possibilidades para promover a inovação pedagógica, personalizar o ensino e desenvolver habilidades técnicas e cognitivas dos alunos. O projeto visa aprimorar a interação entre alunos e conteúdo educacional, proporcionando uma experiência de aprendizado mais adaptativa e eficaz em ambientes remotos
Uso de câmeras corporais na Polícia Militar do Paraná: impactos e desafios
Authors: Sartor Indianara
Published: June 2024

Este estudo analisa os impactos e desafios da implementação de câmeras corporais na Polícia Militar do Paraná (PMPR). Utilizando análises documentais e dados quantitativos, o estudo identifica benefícios, como a redução do uso da força e a diminuição das reclamações contra policiais e melhora na coleta de evidências, o que contribui para um sistema de justiça mais eficiente. No entanto, desafios como questões de privacidade, custos e necessidade de treinamento adequado, devem ser cuidadosamente analisados. Ainda, o presente artigo buscou demostrar que, se feito sem um planejamento adequado, o uso de câmeras corporais (body-worn cameras - BWCs), pode trazer um efeito de “despoliciamento”, conforme estudo realizado pela Universidade de Stanford, que analisou a implementação das BWCs nos policiais do estado do Rio de Janeiro e concluiu que, após a implementação do equipamento, houve um desencorajamento dos agentes de se envolverem em atividades de fiscalização ativa, como abordagens, o que reduziu significativamente a probabilidade dos policiais agirem frente a denúncias e chamados da comunidade, ocasionando danos expressivos na segurança pública. Assim, o presente estudo tem como finalidade auxiliar sobre futuras tomadas de decisões, a qual necessita de políticas claras e gestão cuidadosa, para que a implantação ocorra de forma planejada, trazendo benefícios para a população, promovendo maior transparência e confiança pública, de forma que não impacte negativamente no índices de criminalidade.
Identifying the Effective Components on Nurses' Knowledge Sharing Behavior with Mixed Method Research
Authors: Khosravi Seifollah , Zarei Atefeh , Bayat Behrooz , Zarrinabadi Zarrin
Published: June 2024

Background. Knowledge-sharing is a process in which people mutually exchange tacit and objective knowledge and create new knowledge. This study aimed to identify the main themes and organize the components of nurses' knowledge sharing. Methods. A mixed research method was adopted to conduct the present study. To this end, a qualitative method with a thematic analysis approach was first implemented to investigate the statistical population. The required data were collected by reviewing the published national and international articles using the keyword "knowledge sharing" in search engines. In total, 387 scientific research articles were retrieved from searching the literature. Then, the inclusion criteria were used to filter the information and reduce the number of articles to 48 containing the related codes specific to the themes. The quantitative part was an analytical survey. The statistical population included the nurses of Kermanshah University of Medical Sciences. The structural equation modeling methodology was adopted to determine a sample size of 284 individuals. Results. In the qualitative part, there were 27 main themes, 11 sub-core themes, and nine knowledge-sharing organizing themes, including attitude, mental norms, rewards, costs, perceived behavioral control, mutual benefits, knowledge-sharing tools, and perception of gaining reputation. The components of knowledge-sharing intention were identified in the quantitative part based on the nurses' points of view, and gaining reputation, mutual benefits, and mental norms were found the most important components in order of priority. Conclusion. Based on the findings of this study, the components of attitude, perceived behavioral control, reward, mutual benefits, reputation and subjective norms are effective in the knowledge sharing behavior pattern of nurses and can cause the actual behavior of the individual.
Window function use specifics in the processing of the pseudo random amplitude-phase-shift keyed signals
Authors:   Yaroslav-the-Wise Novgorod State University, Zhukova I. N. , Bystrov N. E. ,   Yaroslav-the-Wise Novgorod State University
Published: June 2024

Window functions are used in the radar signal processing to reduce the undesirable effect of masking a weak signal of a moving target with powerful reflections from stationary or slow-moving objects. The effectiveness of window functions weakens in radars which transmit and receive signals with pseudo random amplitude and phase-shift keying on common aerial. The article shows that pseudorandom pauses between phase-manipulated pulses of pseudo random duration affect the result of window weighted processing. The best parameters of the probing signal for weighing them by window functions during fasttime and slow-time processing are determined. An algorithm for normalization and interpolation of compressed segments of the signal with pseudorandom amplitude and phase-shift keying is proposed. The results obtained are confirmed by modeling the processing of an additive mixture of echo signals with different Doppler frequencies.
Investigation of the dependence of the shift of the ferromagnetic resonance line on the parameters of piezoelectric
Authors:   Yaroslav-the-Wise Novgorod State University, Lobekin V. N. , Bichurin M. I. ,   Yaroslav-the-Wise Novgorod State University, Kafarov R. G. ,   Yaroslav-the-Wise Novgorod State University, Petrov R. V. ,   Yaroslav-the-Wise Novgorod State University
Published: June 2024

In this research, we study the dependence of the shift of the ferromagnetic resonance line in layered structures based on yttrium iron garnet (YIG) on a gadolinium gallium garnet (GGG) substrate, on the magnitude of the external electric field and on the parameters of various piezoelectrics (plumbum zirconate titanate (PZT), Langasite)). The intense development of modern microwave technology leads to the study and creation of new layered structures of materials with different physical properties that can be combined: magnetic and ferroelectric, magnetic and semiconductor, etc. As a result of the study, we obtained the dependences of the shifts of the ferromagnetic resonance line on the parameters of piezoelectrics (mainly, on the magnitude of the dielectric constant) in the layered structures YIG-GGGPZT, YIG-GGG-Langasite. The obtained results show that the ferromagnetic resonance line shift effect can be used to develop new controllable microwave devices, the operating principle of which is based on the electronic tuning of resonance characteristics by means of an electric field and the choice of the type of piezoelectric.
Magnetoelectric current sensors: a review
Authors:   Yaroslav-the-Wise Novgorod State University, Markov I. Yu. , Burbakh A. V. ,   Yaroslav-the-Wise Novgorod State University, Kondrashov A. G. ,   AO Research and Production Association Kvant, Petrov V. M. ,   Yaroslav-the-Wise Novgorod State University, Bichurin M. I. ,   Yaroslav-the-Wise Novgorod State University
Published: June 2024

The article provides a review of various magnetoelectric composites that were studied in the current measurement mode. Recent studies have been conducted with both open- and closed-type structures. A comparison of the currently available ME current sensors is given. The study of closed ME structures will make it possible in the future to use them as current sensors and implement on their basis a contactless system for measuring both high and low currents.
Magnetostrictive phase influence on multicaloric effect in magnetostrictive-ferroelectric composite
Authors:   Yaroslav-the-Wise Novgorod State University, Petrov V. M. , Saplev A. F. ,   Yaroslav-the-Wise Novgorod State University, Gavrushko V. V. ,   Yaroslav-the-Wise Novgorod State University
Published: June 2024

The ferroelectric volume fraction dependence of the multicaloric effect in a bilayer of barium titanate and cobalt ferrite was studied using the Landau-Ginzburg thermodynamic approach. It is shown that the electrocaloric effect can be controlled using the volume fraction of the ferroelectric. Magnetic field application is an effective tool to enhance the multicaloric effect in a magnetostrictive-ferroelectric structure. The choice of an optimal magnetic component which has a magnetocaloric effect in the appropriate temperature range and enables generating the necessary mechanical stress in ferroelectric layer, will increase the multicaloric effect in a bilayer.
The Management, Growth, And Development Of The Suzuki Method Of String Pedagogy At Cork School Of Music From 1969-1999
Authors:   ,   Cork Institute of Technology, McCarthy Patricia
Published: June 2024

"The Suzuki method of string playing was introduced to Ireland, and indeed to Europe, by the Cork School of Music in 1969. This study examines the way the method was ' discovered' in Cork, the reasons why it was introduced, how it was misunderstood in the beginning and how, through careful management and by staff development it changed and developed into the successful programme it is today. Through empirical research I have conducted a detailed investigation into the way in which the programme was managed from its earliest introduction. Chapter 1 explains what the method is and how it operates. Chapter 2 explores the growth of the method in Japan and in the USA before it arrived in Cork. It examines the links between the programme in Cork and Suzuki programmes in other countries. It traces the early development of the method in Cork, the training of the teachers involved, the changes in the structure of the programme with the introduction of assessment procedures for its students, and the continued development of the method up until the introduction of the method at third level. It examines the role of the parent and assesses the original plan. It also looks at the development of the method in other parts of Europe with the establishment of National Suzuki Institutes and the European Suzuki Institute. Chapter 3 looks at assessment strategies used and at ways in which the success of the method can be measured, taking in success at local level within the School of Music itself, at National level with the participation of its students in the National Youth Orchestras of Ireland, at International level with the participation by its teachers and students in events abroad and at a personal level with an investigation into those who were the very first students in the programme. In the conclusion I will discuss the issues of educational management which arose during the development of the programme and which are now central to all areas of education."
Vorsortiert und ausgesiebt – strukturell vorgeformte Lebenswegentscheidungen junger Menschen aus der Arbeiter:innen- und Armutsklasse
Authors: Abou Tanja
Published: June 2024

Die Autorin greift den Gedanken und die Frage nach Sozialer Arbeit und Sozialpädagogik im Kontext von übergangsbegleitenden Maßnahmen auf und thematisiert ihre ambivalente Rolle darin. Dabei stellt die Autorin eine Verbindung zwischen strukturellen und rechtlichen Rahmenbedingungen der Lebensphase Jugend her, die sie aus einer klassismuskritischen Perspektive betrachtet und daraus Implikationen für eine klassismuskritische Soziale Arbeit ableitet. (DIPF/Orig.)
Oral Health Knowledge Attitudes and Practices of Parents of Preschool Children in Amman, Jordan 2019: A Descriptive Cross-Sectional Study
Authors: Alhabahbeh Ruba , Alryalat Saif Aldeen , Al-Jaghbir Madi T.
Published: June 2024

Background and Aims: Oral health is a vital part of early childhood care. Parents and guardians should have appropriate oral health knowledge and be aware of—and change their perception and attitudes to—their children’s oral health to prevent oral disease. Our aim in this study was to investigate the oral knowledge, attitudes and practices of parents of preschool children.Materials and Methods: A cross-sectional study was conducted on a convenient sample of 386 participants from dental and pediatric clinics at Jordan University Hospital. Data were analyzed using SPSS. Descriptive analysis, Mann-Whitney test, and Spearman correlation were used to examine differences in oral health knowledge, attitude and practice of preschool children parents’, and to study the relationship between variables.Results: The mean score for knowledge was 6.1 out of 10 (SD= 2), attitude 14.6 out of 15 (SD= 0.86) and practice 1.6 out of 6 (SD=1.1). In this study, there was a statistically significant difference in the knowledge in relation to parents’ education status (U= 1587.0, p<0.001). Other socio-demographic variables (gender, age, occupational status), did not show any statistical significance. There was a statistically significant positive relationship between knowledge and practice, and between attitude and practice (p˂0.01). Moreover, there was a marginal but statistically significant positive relationship between knowledge and attitude (p=0.05).Conclusions: The level of oral health knowledge and practices of parents of preschool children were low despite having a positive attitude. In addition, there was a gap regarding appropriate practices, which may be attributed to cost, time or commitment. Moreover, there was a statistically significant relation regarding the knowledge and education level of parents. Also, there was a statistically significant relation between knowledge and practice, as well as attitude and practice.
Germanium nanostructures by helium plasma irradiation
Authors: Kajita Shin , Shi Quan , Tabata Kiho , Kuwabara Tatsuya , Tanaka Hirohiko , Ohno Noriyasu
Published: June 2024

The effects of helium plasma irradiation, which has been widely studied on metals, on germanium have been experimentally investigated. The irradiation temperature ranges from 430 to 720 K, and the incident ion energy ranges from 30 to 100 eV. From the scanning electron microscope (SEM) observation, it was found that various morphological changes including pits, nanocones, nanopillars, and roughened surfaces occur. The spatial scale of the morphological change was analyzed by applying fast Fourier transform to SEM micrographs. Thermal desorption spectroscopy analysis suggests that He atoms implanted on Ge play major roles in forming roughened surfaces at a surface temperature higher than 500 K.
Boosting quantum-structured solar cell light absorption through compressively strained superlattices
Authors: Asami Meita , Watanabe Kentaroh , Nakano Yoshiaki , Sugiyama Masakazu
Published: June 2024

The escalating demand for improved energy conversion efficiency in vehicular applications of solar cells underscores the need for innovative solutions. This study focuses on enhancing the current density of GaAs middle cells within conventional Ge-based triple-junction solar cells to realize unprecedented levels of energy conversion efficiency. We introduced a novel superlattice configuration termed a compressively strained superlattice (CSSL) and demonstrated its integration into a p-i-n junction GaAs solar cell, achieving a current density increase of 1.03 mA cm−2 over conventional GaAs solar cells. Prior investigations have explored a strain-balanced superlattice (SBSL) to enhance GaAs middle cell current density. However, our findings establish the superiority of the CSSL over the SBSL in terms of current density improvement, with the CSSL featuring 1.59 times more quantum wells per unit length than the SBSL. This increase in quantum well quantity significantly enhances light absorption efficiency and consequently, the current density.
Development and Analysis of a Highly Compact Microstrip Patch Antenna for WiFi 6E Applications
Authors:   Department of Electrical Engineering, University of Hafr Al Batin, Hafr Al-Batin, Saudi Arabia., Yunusa Zainab
Published: June 2024

In this research article, a microstrip patch antenna optimized for WiFi 6E applications is presented and analyzed. The antenna, constructed with an FR4 substrate measuring 20 × 24 × 1.53 mm³, adopts a rectangular shape and is designed using CST MWS® software. An equivalent circuit model is formulated and simulated with ADS software to ensure accurate representation. Operating at 6 GHz, simulated results from CST MWS® software indicate a bandwidth of 343 MHz (5.861 GHz to 6.204 GHz), while ADS software suggests 339 MHz (5.848 GHz to 6.187 GHz). In contrast, measured results exhibit a bandwidth of 196 MHz (5.827 GHz to 6.023 GHz). Despite slight discrepancies, satisfactory alignment is observed between computational and experimental outcomes, supported by the equivalent circuit model. Radiation patterns, gain, and efficiency are measured in an anechoic chamber and compared with simulations. E-plane shows directionality, while H-plane demonstrates omnidirectionality, aligning well with simulated patterns. The simulated gain is 5.77 dBi, measured gain is 5.61 dBi, resulting in a simulated efficiency of 93% and a measured efficiency of 88%. The antenna is deemed suitable for cost-effective WiFi 6E applications.
Smart IoT based Accident Monitoring and Rescue System
Authors: G. Sujithra , P. Kiruthika , S. Sibi Rathinam , A. Sruthi
Published: June 2024

Today's drivers face a significant danger of vehicle accidents; hence, it is critical to devise innovative strategies to mitigate their impact and expedite emergency responses, especially considering the significant mortality rate. The proposed Internet-based Automatic Accident Detection and Rescue System (IoT-ADRS) optimizes accident detection and rescue operations by leveraging Internet of Things (IoT) technology. The framework combines several sensors, such as accelerometers, gyroscopes, ultrasonic sensors, GPS modules, and MQ3 sensors, to precisely identify accidents in real time. The Arduino microcontroller analyzes data from several sensors to identify accidents. The system employs GSM modules to transmit critical information, including the exact position and time of the event, to emergency services in real time upon detecting an accident. It examines key components and their connections to gather important data, quickly sound alarms, and manage resources efficiently. This comprehensive study shows that IoT-ADRS improves accident response protocols, saves lives, and reduces the severity of road injuries.
The Efficacy of Oncolytic Viruses in Reducing Neoplasms: A Scoping Review
Authors: Maroja Maria Eduarda Duarte , Almeida Maria Eduarda Gomes de , Lavalle Manuela Souto Garcia , Tompson Antônio Carlos de Melo , Schwartz Amanda Cirne , Muniz Kalyel Gomes , Baz Mateus Henrique Dornelles , Soares da Silva Paulo Gabriel , Silva Hugo Rafael de Souza e
Published: June 2024

Pancreatic cancer is one of the cancers with the highest mortality rate, largely due to the aggressiveness of the tumor cells and the lack of obvious symptoms at the beginning of the disease. Based on this, the present review aims to analyze the effectiveness of using oncolytic viruses in the treatment of pancreatic neoplasms. To this end, using the PCC research strategy, an acronym for eligibility criteria that means Population, Concept, and Context, the scientific databases PubMed/MEDLINE, LILACS, EMBASE, and ScienceDirect were used. After applying the processes of inclusion, exclusion, selection, data extraction, and assessment of the Level of Evidence, the results were six articles analyzed and used for the scoping review. At the end of the analysis of these articles, two of them detected the DNA of the viruses in the patients' blood, two presented grade I-II adverse events, and two used the same virus. Thus, five of the six articles analyzed demonstrated positive results, with the sixth being considered inconclusive. Therefore, it can be concluded that the treatment of pancreatic neoplasms with the use of oncolytic viruses, depending on the virus and the doses used, presents positive prospects for regression or interruption of the worsening of the disease, proving to be a source of hope for the future.
Test of Acceptance and Iron Content of Dimsum "Lori" as an Alternative Snack to Prevent Anemia in Adolescent Girls
Authors: Ardana Rena Vionita , Intiyati Ani , Hatijah Nur , Taufiqurrahman  , Hafid Fahmi , Kathiresan Shivania
Published: June 2024

Anemia is a problem today, if it’s not treated it will have a bad effect. Anemia can be prevented by consuming animal protein foods that are high iron content, namely anchovies with a content of 3.9mg/100g and vegetables that have a high in iron content, namely Moringa leaves. The aim is to determine the acceptability and iron levels of Dimsum Lori as an alternative snack to prevent anemia for Adolescents Girls. Methods, experimental research. There are 3 formulations, namely the formulation ratio between chicken meat: anchovy: moringa leaf flour, namely 100g:0g:0g, 0g:97g:3g, 0g:94g:6g. Acceptance test as many as 25 people, somewhat trained category. Test for iron levels, ICP-OES method. Data analysis technique, Kruskal Wallis statistical test and continued with the Man Whitney test. Research results, acceptability test F1; 3.86 (likes), F2; 3.37 (likes), and F3; 3.03 (regular). The results of the iron content test of the control formulation; 1.96mg/100g. Meanwhile, the most preferred formulation; 2.32mg/100g. In conclusion, the dimsum treatment formulation meets the needs of Fe in one snack of 2.3mg (F2); 2.5mg (F3) of the RDA requirement for Adolescents Girls for one snack of 1.27mg.
Individualized Education Programs (IEPs): Best Practices for Tailoring Instruction to Meet Diverse Learning Needs
Authors: Dr. Ranbir
Published: June 2024

Individualized Education Programs (IEPs) are vital tools in the education system for meeting the unique learning needs of students with disabilities. best practices for developing and implementing effective IEPs to ensure that each student receives appropriate instruction, accommodations, and support tailored to their individual strengths and challenges. the purpose and components of IEPs, emphasizing their role in guiding instructional planning, goal setting, and progress monitoring for students with disabilities. It highlights the collaborative nature of the IEP process, involving educators, parents, students, and other stakeholders in decision-making to promote student success.
Promoting Critical Thinking Skills in the Classroom
Authors: Dr. Ranbir
Published: June 2024

Critical thinking is a vital skill for students to develop in order to succeed academically and navigate the complexities of the modern world. This paper explores strategies for promoting critical thinking skills in the classroom across various grade levels and subject areas. It examines the importance of critical thinking, defines key components of critical thinking, and highlights the benefits of cultivating this skill for students' academic and personal growth. Additionally, the paper discusses practical approaches and instructional strategies that educators can use to foster critical thinking, such as inquiry-based learning, Socratic questioning, and problem-solving activities. Furthermore, it explores the role of technology and collaborative learning in enhancing critical thinking skills. By integrating these strategies into teaching practices, educators can empower students to think critically, analyze information, evaluate arguments, and make informed decisions. Ultimately, the paper emphasizes the importance of nurturing critical thinking skills to prepare students for success in school and beyond.
Analysis of the Varieties and Quality of Marmalade
Authors:   Central Russian Institute of Management – Branch of RANEPA, Vlasova M. V. , Baturina N. A. ,   Central Russian Institute of Management – Branch of RANEPA
Published: June 2024

Monitoring of the chewing marmalade market in Russia showed that in the period from 2018 to 2022 production of chewing marmalade increased by 15.4%. Our country ex-ports chewing marmalade to Belarus, Kazakhstan, Moldova, Kyrgyzstan, and Armenia. Thus, in 2022, the export volume amounted to 1.9 thousand tons. Chewing marmalade is especially popular among teenagers and children, which makes the research relevant. The purpose of the study was to analyze the range and quality of marmalade on the consumer market. The work examines the range of marmalade sold by the retail chain and presents quality assessment of 6 product samples.
Models of Customer Relationship Management in Regional Entrepreneurship
Authors:   Synergy University, Timofeev S. M. , Sotnikov V. V. ,   Central Russian Institute of Management – Branch of RANEPA
Published: June 2024

The article is devoted to the research of management features of customer relation-ship from the point of view of managerial strategies aimed at servicing quality improvement. The paper identifies the key phases in the process of attracting customers and their subse-quent retention, which is the foundation for building long-term relationships with consumers. The article discusses the principles of creating effective relationships with customers of busi-ness products. The authors analyzed and compared various methods of managing interac-tion with consumers in the context of modern service quality requirements.
Use of Gaming Applications in Professional Training of Future IT Specialists
Authors:   Central Russian Institute of Management – Branch of RANEPA, Bessonov M. P.
Published: June 2024

The article discusses the use of gaming applications in training specialists in the field of information technology. The advantages of this approach are described. They are in-creased motivation and the opportunity to perfect practical skills. An example of an applica-tion that can be used in the process of training is given.
Physical Education as a Means of Increasing Immunity and Preventing Colds
Authors:   Central Russian Institute of Management – Branch of RANEPA, Drozhzhakov A. I.
Published: June 2024

The article reveals the essence of immunity and its role in human life. Physical cul-ture and sport are considered as a means of increasing immunity and healthy lifestyle at that.
Linguistic Analysis of a Political Text as a Way of Representation National Linguistic Picture of the World
Authors:   Central Russian Institute of Management – Branch of RANEPA, Bessonova Yu. A.
Published: June 2024

Any text as a discourse can reflect a fragment of the surrounding reality. A political text reflects politics peculiarities and demonstrates speech behavior of a politician. On the example of the Appeal of Russian President Vladimir Putin to the citizens of Russia before the elections, a linguistic analysis of the political text as a means of representation of na-tional linguistic picture of the world was carried out.
CRITICAL DISCOURSE ANALYSIS (CDA) USING TEUN A. VAN DIJK'S APPROACH TO ONLINE NEWS ON TVONENEWS.COM REPORTING ON THE GRATIFICATION AND MONEY LAUNDERING CASE OF ADHI PRAMONO WHO HAS NOT BEEN DISMISSED FROM CIVIL SERVICE IN THE MINISTRY OF FINANCE
Authors:   Institut Pendidikan Indonesia, Maolianti Sari Trisna , Hamdani Agus ,   Institut Pendidikan Indonesia
Published: June 2024

This research examines the case of gratification involving Adhi Pramono, which is currently a hot topic of discussion in Indonesia. This phenomenon raises concerns among the public, especially because the act of gratification occurred within the Ministry of Finance, potentially damaging the public's trust in government officials. This qualitative study utilizes data from the TVONENEWS.com portal, employing data collection techniques through documentation, observation, and direct note-taking in online mass media. The analysis of research data encompasses data editing, data presentation, and conclusions drawn using Teun A. van Dijk's discourse analysis model, which includes macrostructure, superstructure, and microstructure. The news analyzed is sourced from the portals Tribunnews.com, Detik.com, and Kompas.com. The results of critical discourse analysis indicate that the information presented in the news has met the critical analysis criteria of Teun A. van Dijk's model, covering text structure, social cognition, and social context. This research has implications for moral values, urging readers to be more selective in choosing news portals. Furthermore, the study encourages the public to be vigilant against any criminal activities, even in seemingly secure places. These conclusions can contribute to strengthening public understanding of the importance of vigilance and caution in consuming information and upholding moral values. Keywords: Critical Discourse Analysis, Teun A. Van Dijk, News
IMPROVEMENT OF PROSPECTIVE TEACHERS CRITICAL THINKING SKILLS THROUGH PROJECT-BASED LEARNING (PJBL)
Authors:   Universitas Islam Majapahit, Anjariyah Deka , Feriyanto Feriyanto ,   Universitas Islam Majapahit, Nurul Imanah Ulil ,   Universitas Islam Majapahit
Published: June 2024

To equip prospective mathematics teacher students in solving problems faced both in class and outside the classroom, one of the abilities that need to be improved is critical thinking skills. Critical thinking skill is a high-order thinking skill (HOTS) that is important for students to master because it can place students in charge of reasonable situations or integrate new ideas with previous knowledge. This study aims to describe whether project-based learning (PjBL) in statistics material can improve the critical thinking skills of prospective mathematics teacher students. This research is a class action research with ten students from the class of 2021 as research subjects. The stages in this research are in the form of spiral cycles which include activities (1)planning, (2)implementing actions, (3)observation, and (4)reflection. The research instrument used was a critical thinking skill test and observation sheets for lecturer and student activities. The results of the study show that (1) the use of the PjBL learning model can improve the critical thinking skills of prospective mathematics teacher students class of 2021, as evidenced by the results of the critical thinking test with an increase in the percentage of students who scored a minimum of 76 (B) in the first cycle by 50% to 90 % in the second cycle and (2) the use of the PjBL learning model can increase student learning activity, indicated by an increase in the percentage of student activity from the first cycle of 78% to 85% in the second cycle.