bluuebunny/crossref_metadata_2025 huggingface dataset:
Curcumin-assisted Preparation of α-Fe2O3@TiO2 Nanocomposites
for Antibacterial and Photocatalytic Activity
Authors: Kala Anuskha , Saini Krati , Kimothi Sanjeev , Verma Rashmi , Kar Kamal K. , Chamoli Pankaj
Published: October 2024

Background:

Harmful microorganisms like pathogens significantly impact
human health. Meanwhile, industrial growth causes pollution and water contamination
by releasing untreated hazardous waste. Effective treatment of these microorganisms and
contaminants is essential, and nanocomposites may be a promising solution. The present
attempt demonstrates the green synthesis of α-Fe2O3@TiO2 nanocomposites (FTNCs) for
the effective treatment of pathogens and organic contaminants.

Methods:

The FTNCs have been synthesized through a green approach utilizing curcumin
extract. Curcumin (Turmeric) extract (TEx) was prepared by washing, drying, and
crushing 5 g of turmeric, then boiling it in 100 mL distilled water at 70°C for 1 hour.
Metal salts (Fe3+/Ti4+, 2:1) were added to 100 mL of TEx under continuous stirring at
70°C for 24 h. The solution was rinsed and dried at 80°C overnight and heated at 300°C
for 3 h to remove impurities.

Results:

Synthesized FTNCs have been tested for the potent antibacterial activity
against both Gram-positive (Staphylococcus aureus, Bacillus subtilis, Enterococcus faecalis)
and Gram-negative bacteria (Escherichia coli, Salmonella Abony, Pseudomonas
sp.). Observations discovered noteworthy inhibition of both Gram-positive and Gramnegative
bacteria by FTNCs. Furthermore, the FTNCs system shows the energy band
gap of ~2.6 eV which may suppress electron recombination, thereby enhancing photocatalysis.
The photo-degradation is examined against Evans blue (EB) and Congo red
(CR) dyes under UV and visible light (125 W) irradiation. The remarkable photocatalytic
degradation efficiency (DE) for CR reached ~67.4% in 60 min.

Conclusion:

A simple green approach has been demonstrated for the synthesis of the
FTNCs using curcumin-mediated reduction. As prepared FTNCs have been evaluated for
potent antibacterial activity against both Gram-positive (Staphylococcus aureus, Bacillus
subtilis, Enterococcus faecalis) and Gram-negative bacteria (Escherichia coli, Salmonella
Abony, Pseudomonas sp.). The results show that the highest zone of inhibition diameter
values have been obtained for 5 mg/mL concertation of FTNCs of ~14, 22,18, 21, and
20 and 29 mm for E. coli, S. abony, S. aureus, B. subtilis, E. faecalis, and Pseudomonas
sp., respectively. Additionally, FTNCs demonstrate remarkable photocatalytic degradation
efficiency against EB and CR dyes under UV (125 W) irradiation, achieving 56,
67% degradation within 60 min, respectively. The findings indicate that FTNCs show
long-term antimicrobial effectiveness and potential for water treatment through photocatalysis.
This examination highlights recent advancements in intellectual property rights
(IPR) and patent strategies, shedding light on how patents influence eco-friendly synthesis
and the development of multifunctional, high-performance nanocomposites.
From Solid to Fluid: Novel Approaches in Neuromorphic Engineering
Authors: Nikitin Daniil , Biederman Hynek , Choukourov Andrei
Published: October 2024

Neuromorphic engineering is rapidly developing as an approach to mimicking processes
in brains using artificial memristors, devices that change conductivity in response to the electrical
field (resistive switching effect). Memristor-based neuromorphic systems can overcome the existing
problems of slow and energy-inefficient computing that conventional processors face. In the Introduction,
the basic principles of memristor operation and its applications are given. The history of
switching in sandwich structures and granular metals is reviewed in the Historical Overview. Particular
attention is paid to the fundamental articles from the pre-memristor era (the 1960s-70s), which
demonstrated the first evidence of resistive switching and predicted the filamentary mechanism of
switching. Multi-dimensionality in neuromorphic systems: Despite the powerful computational
abilities of traditional memristor arrays, they cannot repeat many organizational characteristics of
biological neural networks, i.e., their multi-dimensionality. This part reviews the unconventional
nanowire- and nanoparticle-based neuromorphic systems that demonstrate incredible potential for
use in reservoir computing due to the unique spiking change in conductance similar to firing in neurons.
Liquid-based neuromorphic devices: The transition of neuromorphic systems from solid to liquid
state broadens the possibilities for mimicking biological processes. In this section, ionic current
memristors are reviewed and, the working principles of which bring us closer to the mechanisms of
information transmittance in real synapses. Nanofluids: A novel direction in neuromorphic engineering
linked to the application of nanofluids for the formation of reconfigurable nanoparticle networks
with memristive properties is given in this section. The Conclusion t summarizes the bullet points of
the Review and provides an outlook on the future of liquid-state neuromorphic systems.
Latest Developments in Welding of Common Dissimilar Metals: A Literature Review
Authors: Bhat Sunil , Khedkar Yashpal
Published: October 2024

In the domain of industrial building and production technology, the welding of dissimilar
materials finds a wide range of applications. Unique properties of different materials are utilized
to produce addition and cost effectiveness of the product for intended applications. For determining
the feasibility of welding of dissimilar metals together to create a strong joint, a number of
factors need to be taken into account. This paper discusses critical factors and conditions for welding
of dissimilar metals and touches upon the practical challenges arising from different physical
and chemical properties of the metals. It presents the latest and pertinent literature dealing with
the details about the current fusion and non-fusion processes employed for welding common dissimilar
metal combinations. The results suggest that research and development in the field of dissimilar
metal welding is still needed, especially in light of the growing need for customized materials
in contemporary engineering and industrial applications.
A New Megastigmane Nor-sesquiterpene Isolated from Pourouma Guianensis by High-Performance Countercurrent Chromatography
Authors: Sales Queitilane Sousa , Gonçalves Fernanda Manhães Braga , Ramos Amaro Chaves , Mathias Marcelo da Silva , Ramos Carolina Chaves , Maciel Jéssica da Silva , Matos Carlos Roberto Ribeiro , de Oliveira Rodrigo Rodrigues
Published: October 2024

Introduction:

Pourouma guianensis (Urticaceae) is widespread throughout Brazil and is
commonly known as “mapati”. Terpenes are common in Urticaceae species. However, few studies
have reported the isolation and characterisation of these compounds in Pourouma genus.

Method:

The aim of this study was to separate substances from stem barks of P. guianensis using a
high-performance countercurrent chromatography gradient elution method. The dichloromethane
extract of the P. guianensis stem bark was submitted to silica gel column chromatography, yielding
three fractions. Fraction 3 was submitted to a gradient elution system in high-performance countercurrent
chromatography using two solvent systems, hexane/ethyl acetate/methanol/water (1:2:x:1,
x=1.0 and 1.5). Six compounds were isolated.

Results:

A new megastigmane nor-sesquiterpene named 2-acetyl-4,7-epoxy-3-oxy-5,5,9-
trimethylhexahydrocoumaran (1) was obtained together with five known terpenes: vomifoliol (2),
2α,3β,19α,23-tetrahydroxyurs-12-en-28-oic acid (3), 3-β-D-arabinopyranoside-19-hydroxyurs-12-en-
28-oic acid (4), arjunolic acid (5), and tormentic acid (6). Fractions 1 and 2 were purified by binary
gradient elution from hexane to ethyl acetate.

Conclusion:

This process isolated three known compounds: friedelin (7) and 3β-friedelanol (8) from
fraction 1, and β-sitosterol (9) from fraction 2. Gradient elution in countercurrent chromatography
was a suitable alternative, exploiting variations in the partition coefficient between substances with
small structural differences.
Combinatorial Method for Quality Improvement of the Thrust Plate – A Case Study
Authors: Shilpa M , Shivakumar MR , S Hamritha , Singh Akhil Kumar , Goyat Vikas , Phanden Rakesh Kumar
Published: October 2024

Aim:

This research aims to mitigate defects in the turning operation of thrust plates used
in fighter jet fuel tank assemblies, thereby reducing the rejection rate and improving overall quality.
This aligns with the aerospace industry's reliability goals.

Background:

The thrust plate is a critical component in fighter jet fuel tank assembly, transmitting
engine thrust to the airframe. Quality compromises in this component can impair jet performance. It
was observed that the thrust plate had a rejection rate of about 2.9% due to various defects. This real-
world scenario underscores the importance of our study on the thrust plate and its potential impact
on the aerospace industry. The rejection rate underscores its significance and potential for patent
by quality improvement in turning of the thrust plate.

Objective:

The objective is to mitigate turning operation defects on the thrust plate to reduce rejection
rates, aligning with aerospace industry reliability goals.

Methods:

Experimentation encompassed four pivotal factors: turning speed, feed rate, cutting
depth, and tool inserts, implemented through Taguchi's Orthogonal Array technique. Grey Relational
Analysis was utilized to optimize parameters in thrust plate turning. Specifically, this paper
targeted the enhancement of its diameter, surface roughness, and tool life.

Results:

A single coefficient for the multiple responses, i.e., grey relational grade, has been determined,
and optimum levels for the parameters have been identified. Confirmation experiments with
the optimal factor level combination were carried out on a sample of thrust plates, and no rejections
were observed.

Conclusion:

An experimental design based on Taguchi’s orthogonal array approach was used to
conduct the experiments. The Grey Relational Analysis has been applied to analyze the experimental
results and optimize the turning operation process parameters for the responses thrust plate
diameter, tool life, and surface roughness. With this, the rejection of the thrust plate has been considerably
reduced.
Evaluation of Mental Health Status of Obstetrics and Gynecology Assistants during the COVID-19 Pandemic in Iran - A Cross-sectional Study
Authors: Abbasi Hajar , Modarres Shahrzad Zadeh , Behfrooz Atenea , Neishabouri Seyedeh Morvarid , Khayatan Vedad , Hosseiniara Reza
Published: October 2024

Background:

Some evidence shows that the COVID-19 pandemic has had negative effects
on the mental health status of different sections of society, including the medical staff.

Aims:

The current study was conducted with the aim of investigating the mental health status of
obstetrics and gynecology (OB-GYN) assistants during the COVID-19 pandemic in Iran.

Methods:

The present cross-sectional study was conducted in 23 hospitals across Iran in 2021 (January-
March). Four hundred OB-GYN assistants were randomly and voluntarily enrolled in the study.
The instrument used in this study was the 28-item General Health Questionnaire (GHQ-28), which
had four subscales, including somatic symptoms, anxiety/ insomnia, social dysfunction and severe
depression. To collect data and to reach respondents in distant areas, the questionnaires were provided
to the OB-GYN assistants by the online platform.

Results:

The mean age of the OB-GYN assistants was 32.3±2.6 years, and all were female. Of 400
OB-GYN assistants, 132 (33%) had no distress and 268 (67%) had psychiatric distress. According to
subscales scoring, 72 (18%), 68 (17%), 92 (23%) and 64 (16%) had severe distress in somatic symptoms,
anxiety/ insomnia, social dysfunction and severe depression, respectively.

Conclusion:

Considering that more than half of the Iranian OB-GYN assistants had poor mental
health, it seems that the COVID-19 pandemic has had a negative and destructive effect on the mental
health of OB-GYN assistants. In this situation, they need psychological support and appropriate intervention.
Insights From Art Therapists on Using AI-Generated Art in Art Therapy: Mixed Methods Study
Authors: Shojaei Fereshtehossadat , Shojaei Fatemehalsadat , Osorio Torres John , Shih Patrick C
Published: October 2024

Background

With the increasing integration of artificial intelligence (AI) into various aspects of daily life, there is a growing interest among designers and practitioners in incorporating AI into their fields. In health care domains like art therapy, AI is also becoming a subject of exploration. However, the use of AI in art therapy is still undergoing investigation, with its benefits and challenges being actively explored.

Objective

This study aims to investigate the integration of AI into art therapy practices to comprehend its potential impact on therapeutic processes and outcomes. Specifically, the focus is on understanding the perspectives of art therapists regarding the use of AI-assisted tools in their practice with clients, as demonstrated through the presentation of our prototype consisting of a deck of cards with words covering various categories alongside an AI-generated image.

Methods

Using a co-design approach, 10 art therapists affiliated with the American Art Therapy Association participated in this study. They engaged in individual interviews where they discussed their professional perspectives on integrating AI into their therapeutic approaches and evaluating the prototype. Qualitative analysis was conducted to derive themes and insights from these sessions.

Results

The study began in August 2023, with data collection involving 10 participants taking place in October 2023. Our qualitative findings provide a comprehensive evaluation of the impact of AI on facilitating therapeutic processes. The combination of a deck of cards and the use of an AI-generated tool demonstrated an enhancement in the quality and accessibility of therapy sessions. However, challenges such as credibility and privacy concerns were also identified.

Conclusions

The integration of AI into art therapy presents promising avenues for innovation and progress within the field. By gaining insights into the perspectives and experiences of art therapists, this study contributes knowledge for both practical application and further research.
Evaluating the Accuracy of Artificial Intelligence vs. Nephrologist in Addressing Common Questions about Diabetic Nephropathy from Patients (Preprint)
Authors: Ebrahimi Niloufar , Vakhshoori Mehrbod , Teichman Seigmund , Abdipour Amir
Published: October 2024

UNSTRUCTURED

Diabetic nephropathy (DN) is one of the most frequent and severe complications of diabetes mellitus that requires early reduction for the individuals most at risk. Effective intervention and management of DN requires a patient's deep insight and helpful information. Patients require accurate information to obtain prevention advice about their kidney disease to make appropriate decisions; individuals may seek artificial intelligence (AI) as online sources instead of communicating with clinicians. Therefore, to evaluate ChatGPT and Google Bard's capabilities in providing accurate information regarding DN compared to nephrologists, we assessed their performance in answering questions related to DN. Our study revealed AI would not eliminate the need for open and detailed discussion with healthcare professionals regarding medical concerns and treatment plans, as they indicated inconsistencies in responses. Additionally, it is imperative to provide real-time health information updates to meet the needs of individuals with DN.
Perioperative virtual reality and neuropsychiatric outcomes: a scoping review (Preprint)
Authors: Liu Michelle
Published: October 2024

BACKGROUND

Surgical procedures in older populations carry significant risks, including increased perioperative complications such as anxiety and delirium, which adversely affect outcomes and patient satisfaction.

OBJECTIVE

We sought to evaluate the efficacy and methods of virtual reality (VR) interventions in reducing perioperative anxiety and delirium in a scoping review.

METHODS

Searches were performed in Embase and PubMed from 2020 to 2023 for studies involving VR in adult surgical patients, focusing on anxiety, pain, and delirium outcomes.

RESULTS

Fifteen studies involving 1,313 patients were included, predominantly randomized controlled trials from various countries. No study directly evaluated VR's effect on delirium, but several showed VR's potential in reducing perioperative anxiety and pain, with mixed efficacy results. VR interventions varied in content, technological sophistication, frequency, and duration. Quality assessment indicated limitations due to unblinded designs.

CONCLUSIONS

VR shows promise in reducing perioperative anxiety, with potential implications for delirium prevention. However, the effectiveness varies, and further research is needed to refine VR interventions and explore their role in preventing delirium.
The Hidden Social Variables Influencing Asian Americans Socioemotional Wellbeing and Mental Health (Preprint)
Authors: Zhang Jerry
Published: October 2024

UNSTRUCTURED

Past and current research on the sociocultural variables of mental health has been disproportionately focused on Black/White relations. In an effort to see how subjective social status and microaggressions uniquely impact Asian Americans, this paper accounts for changes and indicators in mental health, physiological stress, and emotional intensity. The first sociocultural variable analysed in the paper for effects on emotional health and mental well-being are the ways others perceive Asian Americans and the ways they perceive themselves in the social hierarchy; this is quantified through the use of subjective social status. It is found that Asian Americans (especially children) perceive themselves with lower social status than their white counterparts, and this has negative consequences on self-esteem. It is also concluded that other races perceive Asian Americans as “less American”, which can have negative effects on Asians well-being due to a phenoma called identity denial. The second half of the paper analyses how the external microaggressions influence the ways Asians perceive themselves and if this leads to negative mental consequences. A correlation was found between the frequency of racial microaggressions and worse mental outcomes. However, the harms of microaggressions also affect the physiology of Asian Americans, with them finding an increase in mean arterial blood pressure after a microaggression was done. The impacts of above listed social variables on Asian Americans’ mental health extend far more than a “sting”.
Slope Stability Analysis Using Electrical Resistivity Tomography and Limit Equilibrium Method: A Case Study from Girimulyo, Kulon Progo
Authors: Santie Putri Anjary Widya , Wilopo Wahyu , Faris Fikri
Published: October 2024

Girimulyo sub-district is one of the areas with high landslide risk in Kulon Progo Regency. On March 12, 2018, a landslide occurred in the area. Seven families were affected, and landslide material blocked the road. This study aims to determine slope conditions through electrical resistivity tomography (ERT) and slope stability analysis using the limit equilibrium method. Based on the interpretation of the ERT profile, it is known that a layer with a resistivity value of <5 Ωm is wet clay; 5-15 Ωm is wet silt; 15-150 Ωm is silt-to-sand; and >150 Ωm is bedrock. The sliding surface is thought to be at the boundary between the wet clay and wet silt layers. The interpretation of the ERT profile is confirmed by data from laboratory tests on soil samples. Slope stability analysis was carried out using ERT profile interpretation and soil sample laboratory test data. The slope stability analysis results show that both the slopes that experienced landslides in 2018 and those that did not experience landslides were stable when the water table was 3 meters deep. However, the landslide slopes are in critical condition as the groundwater level rises, while the non-landslide slopes are remains stable.
Research on the Implementation Path of English Curriculum Policy for Compulsory Education in the New Era
Authors: Liu Min , Su Xiaomei
Published: October 2024

This paper aims to explore the implementation path of English curriculum policy for compulsory education, with primary and secondary English education in northwest China as a case study for an in-depth analysis. The paper first reviews the evolution of educational policies over the past decade. Starting from the definition, nature, and carriers of curriculum policy, this paper introduces the research output of domestic and foreign scholars on the implementation of English curriculum policy. This paper proposes three characteristics and five practical pathways to implement English curriculum policy in compulsory education. Based on the above analysis, the paper proposes future research orientations, including regional decision-making strategies, comprehensive methodological frameworks, the synergy between English curriculum policy and other educational policies, and the localization and practical orientation of curriculum policy.
Feasibility Analysis of Cross-cultural Competence Development in College English Textbooks— A Case Study of New Horizon College English Textbook for Viewing, Listening and Speaking
Authors: Li Penghao , Fan Jiying , Lv Yapeng
Published: October 2024

Against the backdrop of increasingly frequent globalization and international communication, English serves not only as a tool for international exchange but also carries the function of disseminating and communicating diverse cultures. University English textbooks are not just tools for language learning but also crucial mediums for fostering students’ cross-cultural communication skills. This paper examines the cultural content reflected in the textbook and its impact on students’ cross-cultural communication abilities in the third edition of New Horizon College English Textbook for Viewing, Listening and Speaking (Third edition, Book 2) textbooks from a cross-cultural perspective. A framework of cross-cultural competence teaching for textbook analysis was constructed based on the previous research. The study analyzes the cultural content and its presentation in the textbooks according to the different dimensions of the framework, revealing significant differences in the selection and presentation of cultural content. Research findings show that the textbooks primarily focus on introducing English and American cultures while neglecting the diversity of other English-speaking countries and students’ local cultures, resulting in a narrow cultural perspective. Furthermore, the depth and breadth of cultural content are insufficient to comprehensively develop students’ cross-cultural communication skills. It is suggested that when using these textbooks for cultivating cross-cultural skills, attention should be given to diverse cultures, balancing the introduction of different cultures, incorporating students’ local cultures, and helping them develop a global perspective. By enriching cultural content and implementing diverse teaching activities, students’ cross-cultural understanding and communication skills can be enhanced, fostering international exchange and cooperation.
Effect of Different Dates of Pinching on Growth and Yield Attributes of Chilli Pepper (Variety- Marshal) in Chitwan, Nepal
Authors: Khanal Yagya Raj , Poudel Nisan , Kandel Pradeep , Magrati Bibek , Paudel Swastika , Bhusal Shirshika , Timilsina Dinesh
Published: October 2024

Low yield and increased use of chemical fertilizers are major problems for chilli growers in Chitwan, Nepal. An experiment to determine the effect of pinching on the vegetative and reproductive attributes of Chilli was conducted in the farmer's field to study its effect on height, branching system, and yield attributes of the plant. Seven treatments in total that were pinching at 15th, 30th, 45th, 15th & 30th,15th & 45th, 30th & 45th DAT and control with three replications were laid out in randomized complete block design in an area of 5.4 m2. A significant reduction in height by 32.70% was observed in the double-pinched plot than in the un-pinched plot. Similarly, an increase in the number of primary, secondary, and tertiary flowering branches was recorded in pinched plants as compared to controlled conditions. Pinching after the 15th & 45th DAT recorded a greater number of days to 1st flowering and 50% flowering while double pinching takes a maximum of days to flower followed by single pinching. Notably, double pinching at 15th & 30th DAT resulted in a substantial increase in the number of fruits per plant by 77.56%, average fruit weight by 27.57%, fruit length by 18.04%, and overall fruit yield by 118.65% compared to the control. While single pinching at the 15th, 30th, and 45th DAT yielded comparable results, the control treatment displayed inferior outcomes. These findings underscore the efficacy of pinching at 15th & 30th DAT as a beneficial approach to enhance the growth and yield traits of Chilli plants in Chitwan, Nepal.
Frihetsretorik och marknadslogik: En analys av den svenska högskolepolitiken 1970–2014
Authors: Ringarp Johanna
Published: October 2024

In Frihetretorik och markandslogik Johanna Ringarp investigates the impact that market liberal ideas have had on Swedish universities. The focal point is the political reforms in education during the 1990s, which were put into practice by the Swedish right-wing coalition government during 1991-1994. Ringarp examines the arguments put forward in the political debate, how the reforms were implemented and how they have affected the education system in the 21st century. Contrary to what is often claimed, she shows how the shift in education policy in the 1990s can be linked to political ambitions from the 1970s. What took place was an ideologically charged political struggle that came to entail a discursive systemic shift in the view of welfare policy. In this struggle, concepts such as freedom and autonomy were given different meanings to legitimise the changes the political representatives wanted to achieve. In this work, the experiences of the centre-right parties of previous reforms and the Social Democrats' long tenure in government, as well as the failure of the centre-right governments in the 1970s, were important driving forces.
Plant Disease Detection Using Machine Learning
Authors: Rajput Vaishali
Published: October 2024

In this project, we have developed a plant disease detection model using a machine learning approach on a dataset named “Plant Disease Expert” which is available on Kaggle. The dataset contains 199,611 images across 58 subdirectories. The splitting of the dataset in training, validation and testing is done in ratio 90:5:5. The data preprocessing included resizing the images, normalizing pixel values and applying augmentation techniques. We have used different libraries throughout the project such as NumPy, Pandas, Operating system, Time, Matplotlib, OpenCV, Shutil, TensorFlow, Keras, Seaborn, etc. EfficientNetB3 is used as the base model. EfficientNetB3 is a convolutional neural network architecture developed by Google Brain researchers [1]. It is known for its efficiency and effectiveness in image classification tasks. Additional custom layers such as max pooling, batch normalization, dense layers, and activation functions are used to optimize the performance. The adamax optimizer and categorical cross-entropy were used during training. The model was trained for 10 epochs with a batch size of 20 and a learning rate of 0.01. For evaluation, classification report, accuracy, precision, recall, F1-score and support were used. The model achieved an accuracy of 98.76% [1].
Experimental Investigation and Validation of Measured Wind Turbine Noise Characteristics using Standardized Technology
Authors: Arivukkodi Dr. G.
Published: October 2024

This paper aims in affirming the accuracy and consistency of acoustic noise assessment at an experimental and Grid Connected wind turbine. The experimental turbine is a three-bladed, upwind turbine located in the Tuticorin District of Tamil Nadu State in India. The measurement campaign was carried out during the noise measurement equipment by Brüel & Kjær (B&K) PULSE Wind Turbine Sound Power Determination system strictly in accordance with the IEC 61400-11 2012-11 AMDI 2018 Ed.3.1. The Experimental study deals in the measurement of total noise emitted from various wind turbine component and sub-systems, when the turbine is in ON condition. The background noise was obtained while the turbine is in OFF condition. The measurement data was obtained as per the above referred standards for wind speeds ranging from 7m/s to 13.5 m/s at 50m hub height. The measurement was also obtained simultaneously at 10m height above ground level for the wind speed ranging 6m/s to 8m/s during the windy season of September 2022. The measurement data both at turbine hub height and 10m level were obtained at the same atmospheric condition 26o C and 0.996atm and in a down wind direction. The other parameters like Aweighted sound pressure level, 1/3 octave band spectrum, electric power, and wind speed were also measured at both hub heights at 10m level. The measured parameters were compared with the PULSE Software output and in the process; it is concluded that the noise characteristic of the experimental wind turbine is less than 3dB at a distance of 66m in the down wind direction from the test turbine. The measured results were also validated from the PULSE software and the results show a close match.
Real-Time Criminal Detection System Using Deep Learning Technique
Authors: Shendge Dhananjay
Published: October 2024

In this paper, we may developed a system for detecting criminal faces, for this, we have used deep learning algorithms. Since deep learning is now the most famous technology, it is used in different applications. One such application is crime detection and prevention. This system identifies the criminal face, retrieves the information stored in the database for the identified criminal and a notification is sent to the police personnel with all the details and the location at which the criminal was under the surveillance of the camera.
Foodies Full Stack Web Application: Connecting You to Your College Canteens
Authors: Pawar Swaraj
Published: October 2024

The "Foodies Full Stack Web Application" is designed to revolutionize the way college students interact with their campus canteen services by providing real-time access to menus, nutritional information, and personalized food recommendations. This project aims to bridge the gap between canteen owners and students, offering seamless communication and better decision-making for daily meals. By leveraging the power of the Spoonacular API, the platform can not only display available menu items but also offer detailed nutritional data, which is crucial for students with dietary preferences or restrictions. Additionally, the application uses machine learning to suggest dishes based on individual preferences, ensuring a tailored dining experience for each user. This project has been developed using modern web development technologies, integrating both front-end and back-end functionalities to create a responsive, user-friendly platform. The application has the potential to enhance user satisfaction, improve the efficiency of canteen operations, and promote healthier eating habits among students. This paper outlines the design, implementation, and testing of the Foodies Web Application, while also discussing future improvements and scalability.
A Review on Medicinal Plants and its Importance from Glycosides
Authors: Bhattacharya Somenath
Published: October 2024

Glycosides are one of the important constituents in medicinal plants worldwide. According to chemical classification, Glycosides are having different types like Anthraquinones, Saponins, Flavonoids, Flavonols, Coumarins, Furanocoumarins, etc. Various plants like Digitalis, Thevetia, Senna, Senega, Brahmi, Rhuberb, Aloe, Cascara, etc fall into this category. Glycosides are basically used Purgative, Cardiotonic, anti-depressant, coloring agent, diuretic, flavoring agent, antifungal, antidiabetic, antipyretic, stomachic, anthelmintic, antirheumatic agent, etc. Different parts of these plants like rhizomes, seeds, bark, leaves, etc are used as the potent sources of glycosides. These plants are grown in worldwide. In this review article, we focussed that the basic introduction and importance of glycosides, classification, their tests, distribution of different plants and their significance.
The Effect of Parents with Young Children's Product Purchasing Attitudes on the Need for ESG Education and Promotion: The Mediating Effect of ESG Importance
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jo Hyeyoung , Kim Hyun Ji , Kim Jinok Susanna
Published: October 2024

Objectives The purpose of this study is to investigate the impact of parents with young children's product purchasing attitudes on the need for ESG (environmental, social, and governance) education and promotion. Additionally, the study aims to explore the mediating effect of ESG importance in this relationship
Methods The study participants consisted of 254 parents with young children residing in Seoul, Gyeonggi, Chungcheong, and Gyeongsang. The trends and normality of the research variables, as well as their reliability coefficients, were examined using SPSS 25.0 and AMOS 23.0. The relationships among the research variables were analyzed using Pearson's correlation analysis. Additionally, structural equation modeling (SEM) was employed to examine the structural relationships. Furthermore, the mediating effect was investigated using the bootstrapping method.
Results The research findings are as follows. First, the mean of the research variables was above 4.0, indicating high levels. Additionally, the data met the assumption of normality. Second, the findings indicate a positive correlation between the need for ESG education and promotion and product purchasing attitudes, as well as the importance of ESG and its subfactors, which include environmental importance, social importance and governance importance. Third, the results revealed that attitudes towards product purchasing had a statistically significant impact on the importance of ESG and the need for ESG education. However, attitudes towards product purchasing did not have a statistically significant impact on the necessity of promoting ESG. Additionally, the importance of ESG was found to influence both the need for ESG education and the need for ESG promotion. Fourth, in the process where attitudes towards product purchasing influence the need for ESG education, the importance of ESG partially mediates the relationship. However, in the case of the need for promoting ESG(environmental, social, governance) practices, the importance of ESG fully mediates the relationship.
Conclusions The research findings suggest the importance of promoting early awareness of the concept of ESG (Environmental, Social, and Governance) through play.Additionally, the study aims to propose practical approaches to promoteESGpractices, distinguishing between initiatives focused on thehomeenvironment and collaboration in early childhood education.
Exploring Influencing Factors at Student and Teacher/School levels on Self-regulated Behavioral Learning Strategies Using Machine Learning and HLM
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim JiYoon , Lim Yerim , Hong Sehee
Published: October 2024

Objectives This study focuses on behavioral regulation, the most effectively teachable aspect of self-regulated learning strategies, with the aim of exploratively identifying the factors that influence behavioral regulation in first-year middle school students. Specifically, using multilevel analysis, the study examines not only individual characteristics and parental factors but also teacher and school characteristics, in order to explore potential intervention points at different levels within the home and school environments.
Methods Using data from the first year of the Seoul Educational Longitudinal Study of Students 2020, excluding missing values, a total of 4,615 middle school students from 98 schools were analyzed, along with 206 student/parent-level and 188 teacher/school-level explanatory variables selected through data pre-processing. Machine learning techniques, capable of handling multiple variables simultaneously in the model, were employed to identify algorithms with excellent performance in predicting self-regulated learning attitudes at the student/parent level (Level 1) and the teacher/school level (Level 2). The key variables for predicting self-regulated learning attitudes identified at each level were then verified using a two-level hierarchical linear modeling (HLM).
Results First, based on the top three algorithms at each level, 10 key variables were derived at the student/parent level and 5 key variables at the teacher/school level. Second, the application of the two-level HLM revealed that learning methods and efforts, growth mindset, goal orientation, human rights, support from academic and career programs, and cognitive empathy at the student/parent level, and the proportion of multicultural students at the teacher/school level, significantly influenced self-regulated learning strategies.
Conclusions Based on these results, specific strategies to enhance self-regulated learning attitudes among middle school students were discussed.
Factors influencing nursing students’ competency in nursing handover
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Song Yu-Ri , Ha Yun Ju
Published: October 2024

Objectives This study attempted to investigate the factors affecting nursing students' nursing handover competence and to identify the relationship between clinical decision-making ability, clinical reasoning ability, and handover self-efficacy to serve as a basis for future handover education courses for nursing students.
Methods This study is a descriptive survey study. 145 nursing students The data were collected from September 26, 2023 to October 13, 2023 from 145 nursing students at a university. The data were analyzed by frequency and percentage, independent t-test, one-way ANOVA, and Pearson Correlation Coefficient using SPSS/WIN 28.0 program.
Results Nursing handoff competency was positively correlated with clinical decision-making ability (r=.384, p=.000), clinical reasoning ability (r=.541, p=.000), and handoff self-efficacy (r=.656, p=.000). The most significant predictors of nursing handoff competence were handoff self-efficacy (β=0.422, p<.001), clinical reasoning ability (β=0.270, p<.001), Satisfaction with Academic Major (β=0.192, p=.019), grade ((β=-.13, p=.036), and Handover Fear (β=-0.224, p=.007), with an explanatory power of 49.0%.
Conclusions The factors that affect nursing handover competency are cognitive processes, such as problem solving, communication, judgment, and perception, and efforts are needed to maintain the quality and continuity of care. Therefore, it is necessary to develop teaching methods and build systems to improve clinical decision-making, clinical reasoning, handover self-efficacy, and enhance nursing handover competency.
Empathy Characteristics of Middle School Students: Applying Latent Transition Analysis
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, An Eunmin , Heo Moonyung
Published: October 2024

Objectives The purpose of this study is to identify subgroups of youth who differed in their empathy characteristics, and to analyze the factors that influence these classifications: parental supervision, parental rational explanations and self-esteem. Additionally, it investigates differences in the perception of cyber delinquency, violence perpetration, and peer attachment among these groups.
Methods The questionnaire data from the 14th wave of the Korean Children and Youth Panel Survey (PSKC) are analyzed. Latent profile analysis, difference analysis, and multinomial logistic regression analysis are used.
Results Firstly, the latent profile analysis identified four subgroups depending on the level of empathy: high level of empathy group, middle level of empathy group, low level of empathy group, and higher trait cognitive group. Secondly, significant differences were found among these groups in terms of their perceptions of cyber delinquency, violence perpetration, and peer attachment. The higher trait cognitive empathy group showed the highest levels of violence perpetration and the lowest levels of peer attachment. Thirdly, parental supervision, parental rational explanations, and self-esteem had significant effects on categorizing groups as a predictor, but their influences were differed by subgroups.
Conclusions The result of this study suggest that peer relationship of adolescents is different by latent profiles, and the intervention to improve empathy should be considered traits of each groups.
A Case Study for the Improvement of After-School Program Quality in Kindergartens
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Koo Ja Yeun , Jang Yu Jin
Published: October 2024

Objectives This study aimed to enhance the quality of after-school programs in kindergartens by visiting kindergartens with exemplary after-school operations and examining their management practices.
Methods Through the cooperation of officials from regional education offices, kindergartens with notable after-school program operations were recommended, and eight kindergartens across the country were visited. Data related to the operational cases of each kindergarten were collected, and interviews were conducted with principals and teachers. The study examined how after-school programs are conducted through various procedures, processes, and interactions within different kindergarten contexts.
Results The results indicated that high-quality after-school programs in kindergartens were managed through various methods, including the operation of professional learning communities, adherence to play-centered after-school programs true to their essence, the appointment of dedicated after-school teachers, community-linked after-school programs, and the establishment of care systems for children. Care systems for children were often established in rural kindergartens and operated in forms such as all-day care, Saturday care, intensive care during farming seasons, and care linked to local children's centers.
Conclusions This study suggests the need for a change in perception about after-school programs among principals and curriculum teachers, recognition and training support for after-school teachers and connection with local communities.
The coverage of basic and applied research in press releases on EurekAlert!
Authors: Zhang Jingwen , Joubert Marina , Dudek Jonathan , Costas Rodrigo
Published: October 2024

Research organisations routinely reach out to the media via press releases to announce research news and promote advances in science. This paper explores the presence of basic and applied research in press releases issued through EurekAlert!. Using a scientometric approach to classify research papers featured in press releases into basic and applied research, we found that more than half of the press releases in our dataset were related to basic research. This trend was particularly notable in life and earth sciences, physical sciences, and engineering fields. In contrast, press releases in the biomedical and health sciences, as well as in social sciences and humanities, were more frequently associated with applied research. Additionally, we present findings on the similarity and readability of press releases compared to their corresponding research papers, which confirm the role of institutional press officers in making research papers more accessible to the public and media. This adaptation appears to be more pronounced for basic research.
Can media inspire public engagement with astronomy? Assessing information modalities and potential mechanisms for inspiration in a basic science context
Authors: VanDyke Matthew S. , Yeo Sara K.
Published: October 2024

Although many science communicators strive to inspire audiences, scant research has sought to understand how media may evoke inspiration. The present study was a three-condition (modality: text-only, audio-only, and audiovisual) between-subjects experiment examining how media content about the James Webb Space Telescope (JWST) motivated participants’ feeling moved, awe, curiosity, rumination, and their inspiration state. The findings revealed no statistical difference between using text or audio content, but that audiovisual content can hinder rumination if self-transcendent emotions are not induced. Findings revealed that content leading participants to feeling moved and experiencing awe should lead to reflective thought, and ultimately, feelings of inspiration.
Promoting the Higgs boson as `discovery science' news: exploring the boundary spanner functions of CERN communication professionals'
Authors: Dorey Jamie , Holliman Richard , Scanlon Eileen , Gillies James , Godinho Ana
Published: October 2024

The announcement of the discovery of the Higgs boson at CERN marked a groundbreaking achievement in Mode 1 'discovery science'. We combined analyses of CERN strategic documents and organisational structures with ethnographic observations of, and interviews with, communication professionals. Our findings show that promotion of this 'Mode 1' discovery, in combination with the potential for longer-term 'Mode 2' innovation, was a strategic priority for CERN, but highlighted operational challenges for coordination between scientists and journalists. We conclude that CERN communication professionals played an essential boundary spanning role, brokering solutions and maintaining relations across borders and between relevant constituencies.
Communication and engagement for basic science: insights and practical considerations
Authors: Sawyer Keegan , Smith Brooke
Published: October 2024

Basic research underpins the innovations that power the global economy and shape society. It is the focus of scientific investment for both The Kavli Foundation and the U.S. Department of Energy Office of Science. Yet it has been rare to see basic research command much attention, practice, or scholarship in science communication. In December 2020, we launched the Science Public Engagement Partnership, or SciPEP, a limited term public-private partnership, to dive into basic science communication headlong. Our work through SciPEP has led to new insights about audiences’ relationship to basic science, as well as the needs and interests of those who communicate basic research. We see a path forward that involves forging more partnerships between scholars who study science communication and practitioners of basic science communication.