bluuebunny/crossref_metadata_2025 huggingface dataset:
Helping Local Cleaners Reach Out to the World using Online Platforms
Authors: Vaidya Saurabh
Published: June 2023

Abstract: The main purpose of this research paper is to evaluate the effectiveness of online platforms in building or funding small businesses and individuals. This is one of the biggest messes in each and every part of the world, not only in India. Finding every day labourers, maids, and cleaners for everything from household work to industry maintenance is a major dilemma that could be resolved by using websites, applications, and different online portals. Research on such topics will improve the work culture and efforts of such people and increase the number of job opportunities in this industry. Smart phones have now become a necessity for every person, as he or she can access the portal through the mobile device. No such platform is created to reach out to the workers or for the workers to reach out to the people to complete a particular task. In this research paper, I propose methods, means, and techniques to visualise, maintain, and create a better future. Related content, news, information, and traffic on the webpage will be monitored for their respective areas. The advantage of our portal will be that it is easy to use and that each and every person will be able to use the functions properly while keeping their native language option alongside English. Productivity and trust play an important role in making decisions that make lives easier. Not only in theoretical analysis but also in many surveys and experiments are there precise algorithms for the models made. Case studies regarding the same will give us a clear idea for developing and maintaining these online platforms. (Experiments and surveys have yet to be conducted.)
Fusion Biometric Recognition Using CNN and LSTM Algorithms
Authors: Bhuvaneshwari Mrs. V.
Published: June 2023

Abstract: The automatic identification of people using their unique physical characteristics for security purposes is known as biometrics. Biometric authentication has a significant difficulty that calls for the development of more efficient methods in order to confirm the actual presence of a true legitimate trait as opposed to a fake self-manufactured synthetic or reconstructed sample. Recent developments in machine learning, computer vision, and pattern recognition have accelerated the development of the biometric recognition technology. The suggested approach intends to strengthen the security of biometric recognition frameworks by introducing two authentication. Each modality faces a unique set of difficulties. When practical, adults were used to evaluate the performance of technology and software created for infants. The type of biometric recognition technology will determine how accurate it is the effectiveness of the algorithm, the biometric trait used, and the calibre of the data collected. The recommended method beats earlier state-of-the-art approaches, and extra biometric data reveals extremely valuable information that may be used to quite efficiently discriminate actual features from fake ones
Inventory Backorder Prediction
Authors: Deepika O.
Published: June 2023

Abstract: Product going to out of stock is a common problem in supply and chain scenario that comes under unpredictable risk in demand and supply. We aim to use Machine Learning predictive models in area of the business processes in decision making. By predicting products, backorder predictive models provides flexibility to decision authority, better clarity in the process, and helps in maintaining greater accuracy. The machine learning models that are tree based are chosen to predict material backordering. The backorders of products are predicted in this project by considering various models.
Accident Detection Using Raspberry Pi
Authors: Lavhe Prof. R. S.
Published: June 2023

Abstract: It is observed that, the major hindrance on road is due to heavy traffic flow during peak hours especially when people commute to work. The total number of vehicles or objects exceeds its capacity by causing a blockage for emergency vehicles such as fire fighter and rescue vehicles, furthermore wastage of fuels adds more to the environmental pollution which is not adoptable for a country’s economic growth. In order to develop an efficient, reliable, cleaner and safer mode of transportation,it is necessary to make the road transportation system automated as much as pos- sible.To track the vehicle, we need to send the message to GSM device, so that it gets activated. It also gets activated by detecting the accident on the vibration sensor connected to the raspberry pi controller. Once the GSM is activated it receives the last latitude and longitude position value and send message to the emergency serverwhich is predefined in the program. The process of image processing it detect the face of person and by using alarm it give the indication of that person
Traffic Rules Violation Detection System
Authors: Borase Dnyanendra Jagadish
Published: June 2023

Abstract: The paper presents a system that uses surveillance videos to automatically detect bike riders without helmets by us-ing object segmentation and background subtraction techniques. A consolidation approach is introduced to improve accuracy, and three feature representations are compared. The system achieves a detection accuracy of 93.80 percentage and has an average processing time of 11.58 milliseconds, making it a cost-effective and real-time solution for managing traffic violations related to helmet usage
Security Management for Transaction and KYC using Block Chain Technology
Authors: Bavane Prof. A. B. , Alhat Tushar , Umbare Saurabh , Shinde Pratik , Shinde Vishal
Published: June 2023

Abstract: Blockchain technology promises to be hugely trending and empowering in financial domain computing applications. The digital economy is becoming an integral part of modern life. So as the use of the digital world increases there are more chances to decrease the security level. So more the use of digitization more the frauds and less the security. In some cases of personal data, leakage has brought back into the focus the security issues with the different identity sharing mechanisms. A customer is expected to provide his identity for authentication by different agencies. So theKYC process deals with the identification of the user. And in turn, provides the required security. The KYC procedures which are used by the banks are completely dependent on the encryption which is slow and it can lead to the loss of customer details to other theirs party financial institutions. This system can be efficient by using Blockchain technology, which has the potential to automate a lot of manual processes and it is also resistant to hacks of any sort. The immutable blockchain block and its distributed ledger is the perfect complement to the process of KYC. With the addition of smart contacts, fraud detection can be automated. For KYC identity details storage we can make use of any types of KYC. So, the banks can develop a shared private blockchain within the bank premise and the same can be used for verifying the documents. This allows the user to get control of their sensitive documents and also makes it easier for banks to obtain the documents they need for compliance.
Prognosis of Heart Disease using Machine Learning Algorithms
Authors: Chauhan Shivam
Published: June 2023

Abstract: This article presents the prediction of the heart diseases by using the machine learning algorithm. One of the major causes of morbidity in the world's population is the prediction of heart attacks. Cardiovascular disease is a very essential disease that is included in the clinical data analysis as one of the most crucial sections for the prediction. In this study, we describe a technique to heart attack prediction that uses machine learning to analyse several risk factors and make predictions about heart attacks. Heart disease cases are rising quickly every day, thus it's crucial and worrisome to predict any potential illnesses in advance. This diagnosis is a challenging task that requires accuracy and efficiency. The primary focus of the research paper is on which patients, given certain medical characteristics, are more likely to suffer heart disease. Using the patient's medical history, we developed a system to determine if a heart disease diagnosis is likely or not for the patient
The Human Rights of the Under Trial Prisoners in India
Authors: Srivastava Rubi , Srivastava Dr. Prashant
Published: June 2023

Abstract: The main important purpose of Criminal Justice is that victims, prisoners and also those prisoners who are Under Trial, they can not deny their Human Rights. Those days has gone where prisoners do any offence then they were lodged to pass their days in dark cells. Now a day’s prisons just like a reformative centre where they live, earn and changing their behavior and after come out prison they can collaborate with society. Here prison knows that it is a rehabilitation centre, it is a punishment not that place where there human right are violated and where extra punishment will be held. The open prison has come as a modern and effective system of closed imprisonment. This is helping in changing the traditional outlook of the Indian prison system and helps the prison to become more responsible, creative citizen. A basic and main factor that is necessary to understand high imprisonment rates is the way in which the system is liable to breaches of order like parole, probation or other sentences. In many countries parole is the contribution to overcrowding in prison
Text Recognition from Images using CNN and MSER Algorithms
Authors: U Chaitanya , Alisetti Emmanuel , Ballam Harsitha , Dodda Maneesha
Published: June 2023

Abstract: The ability to recognize text from images is a great importance in a range of applications, including document analysis, images captioning and augmented reality. The reliability and accuracy of text extraction from images have been completely transformed by text recognition models using Optical Character Recognition (OCR) and Maximally Stable Extremal Regions (MSER) algorithms. In our study, we propose a text recognition model that leverages the advantages of both OCR and MSER algorithms to enhance the reliability and accuracy of the text extraction process. OCR algorithm serve as the fundamental basis for text recognition by utilizing advanced methods to separate and identify individual characters. None the less these algorithms can encounter difficulties when confronted with intricated backgrounds, images of poor quality, or text arranged in irregular layouts. To address these limitations, we integrate the MSER algorithm, which excels in detecting text regions by identifying maximally stable regions across different scales and intensities. Our proposed model follows a multi-stage approach. First, the input image, the MSER method is used to extract probable text locations. These regions are then refined using pre-processing techniques, such as noise removal and image enhancement, to improve OCR performance. Next, the refined regions are passed through the OCR algorithm, which utilizes machine learning and pattern recognition techniques to recognize the text within each regions. The recognized text is subsequently post-processed to refine the results and improve overall accuracy. The text recognition model is implemented using CNN (OCR which is part of CNN) and the Maximally stable Extremal regions (MSER) algorithms
A Narrative Exploration of the Life of a Secondary School Fixed-Term Teacher
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Koo Minsoo , Choi Joonsup
Published: June 2023

Objectives This study was conducted to investigate the in-depth meaning contained in the lives of research participants who are living as fixed-term secondary school teachers. Methods The narrative inquiry method, which seeks the meaning inherent in the experience through the process of continuously exploring the experiences of the research participants, was applied to this study. For this purpose, semi-structured in-depth interviews were conducted twice each for narrative inquiry with a total of 3 teachers (2 males and 1 female) working as fixed-term teachers at a secondary school located in Metropolitan D city. Results In the field texts constructed through the analysis of in-depth interview data, the common life experiences of secondary school fixed-term teachers are ‘Escape from studying for secondary teacher appointment exam’, ‘economic burden’, ‘Anxiety about employment’, ‘Anxiety felt by parents’, ‘a feeling of alienation from social institutions’, ‘separating work and life’, and ‘continuing to live’ were derived. The life experiences of these secondary school fixed-term teachers were again analyzed as research texts with personal, social, and practical meanings. The meaning of life of secondary school fixed-term teachers revealed through this study is ‘walking the Mobius strip of inseparable anxiety’ in the personal sense, ‘anxiety is transmitted to the family community’ in the social sense, ‘the I was hurt by alienation, conflict, and indifference’, and in a practical sense, it was ‘Nevertheless, I tried to live an independent life by separating myself from the fixed-term teacher’. Conclusions Based on the results of this study, the significance and limitations of secondary school fixed-term teachers' lives, and suggestions for follow-up studies were discussed.
A Study of the Methods for Teaching Music Concepts to Children Aged 5 to 7 Using Picture Books
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Ko Jeongmi
Published: June 2023

Objectives This study is a on teaching methods for early childhood music concepts using picture books. The aim of this study is to enhance the level of utilization of picture books by frontline teachers by examining the correlation between literary and musical elements of picture books and thereby suggesting music teaching methods using picture books, eventually in order for picture books, which have sufficient value as a music education medium, to be used more widely. Methods In this study, the current situation of early childhood music instruction using picture books was examined through the analysis of previous studies. In addition, through the literature survey, the developmental stages of early childhood music ability, and the relationship between picture books, Music education activities and music concepts were investigated. For the selection of picture books, picture books suitable for 5 to 7 years old were initially selected by referring to the list of recommended picture books and award-winning picture books. and than, 37 books eventually selected and analyzed according to the selection criteria established by previous studies and related literature. Based on this, pedagogical ideas for using picture books for teaching music concepts were suggested. Results In order to utilize common picture books as material for music education, this study suggested a way to connect musical concepts and picture books, and analyzed and presented picture books that can be used in each activity area of music education. Based on this, specific methods and examples of how picture books can be used for music instruction were presented to enhance teacher’s understanding and provide practical materials for effective teaching. Conclusions Picture books enable a variety of approaches to music teaching. Depending on the teacher’s approach, picture books allow more attempts for young children than any other media. Thus, teachers should expand their awareness and exploration of picture books as a valuable medium for music education to expand young children’s musical experiences.
The effects of college students' self-efficacy on major satisfaction: Focusing on the mediating effects of self-directed learning and learning engagement
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Jeon Hyun Sun , Kim Mi Hwa
Published: June 2023

Objectives This study attempted to analyze the structural relationship between self-efficacy, self-directed learning, learning engagement, and major satisfaction of college students, and studied learning engagement by dividing it into cognitive engagement, emotional engagement, and behavioral engagement. Methods The fourth year of university nationwide became the study population, and the final 245 data were used for analysis. The structural equation was evaluated for goodness of fit of the research model using Mplus, and the significance of direct and mediating effects was verified. Results First, self-efficacy was found to have a positive (+) effect on self-directed learning and major satisfaction, but the effect on cognitive engagement, emotional engagement, and behavioral engagement was found to be statistically insignificant. Second, self-directed learning was found to have a positive (+) effect on cognitive engagement, emotional engagement and behavioral engagement, but the effect on major satisfaction was not statistically significant. Third, the effect of cognitive engagement on major satisfaction was found to be statistically insignificant, but emotional engagement and behavioral engagement appeared to have a positive (+) effect on major satisfaction. Fourth, in the relationship between self-efficacy, cognitive engagement, emotional engagement, and behavioral engagement, the mediating effect of self-directed learning was found to be statistically significant. Fifth, in the relationship between self-directed learning and major satisfaction, the mediating effect of cognitive engagement was not statistically significant, but the mediating effect of emotional engagement and behavioral engagement was statistically significant. Finally, in the relationship between self-efficacy and major satisfaction, the double mediating effect of self-directed learning and cognitive engagement was not statistically significant, but the double mediating effect of self-directed learning and emotional engagement and self-directed learning and behavioral engagement was statistically significant. Conclusions Through this, it was revealed that college students' self-efficacy, self-directed learning, and learning engagement are important factors in major satisfaction. Therefore, in order to improve college students' major satisfaction, implications for finding ways to improve college students' self-efficacy, self-directed learning, and learning engagement were also provided.
A Study on the Adler Individual Psychology-Based Positive Discipline Parent Education Process
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Park Ye-Jin , Yoo Sang-Hyun
Published: June 2023

Objectives The purpose of this study was to introduce the contents of Adler's Individual psychology-based positive parenting parent education program and to understand how the parenting methods of parents who participated in the program change. Methods To this end Dreikurs and Jane Nelson's program to help develop a sense of community for parents and children was modified and applied to suit the Korean situation and the experience of the participation process was analyzed through qualitative case studies. Results In order to find out the changes after conducting the positive parenting parent education program, three categories were derived ‘understanding lifestyle’, ‘matched parenting’, and ‘practicing change’, and nine themes were formed. Conclusions Participants in the study understood their lifestyle through positive parenting parent education programs, recognized that conflicts with their children were caused by differences in lifestyle between parents and children and realized that the parenting environment and parenting methods they provided affect their children. While participating in the positive discipline parent education program they discovered their individual strengths strengthened their positive resources and prepared their own positive discipline method that suits their children situation and eye level. These results are significant in that the program in this study helps increase positive relationships in daily life between parents and children compared to existing positive training programs focused on educating what positive parenting methods are. Based on this, it is hoped that it will help lay the foundation for program development and education for positive parental discipline.
Characteristics and Effective Counseling Factors of North Korean Defectors Counseling: Focusing on the Experience of a Professional Counselor for North Korean Defectors
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, Kim Sooim , Kwon Bojung , Lee Jinhyun
Published: June 2023

Objectives The purpose of this study is to explore the characteristics of counseling and factors for effective counseling for North Korean defectors, focusing on the experience of professional counselors who counsel North Korean defectors. Methods To this end, we interviewed 11 professional counselors for North Korean defectors and as a result of analyzing the data using the consensual qualitative research method(CQR). CQR is a useful inductive qualitative research method that limits the subjective impact of researchers and understands the experience of research participants through analysis and final agreement. When analyzing data, various researchers can participate and find a common understanding of the data through the process of consensus. Results As a result of the analysis, a total of 101 core concepts, 29 categories, and 4 areas were derived. The four areas are as follows: ‘Structural Factors Influencing Counseling for North Korean Defectors’, ‘Client Factors in Counseling North Korean Defectors’, ‘Competencies Required of Professional Counselors for North Korean Defectors’, ‘Effective Intervention in the Counseling Process for North Korean Defectors’. Conclusions This study was examined in depth the overall counseling experience of professional counselors for North Korean defectors through qualitative research in order to understand characteristics of counseling on North Korean defectors in detail and we tried to provide basic data useful for counseling for North Korean defectors by exploring factors for effective consultation. Through consensual qualitative research methods, we identified the frequency of participants' primary experiences and discussed the main outcomes.
The moderating effect of employment burnout between involution behavior and employment preparation behavior of Chinese university students
Authors:   Korean Association For Learner-Centered Curriculum And Instruction, SHEN ZHIKAI , SUN ZHANFANG
Published: June 2023

Objectives In this study, we tried to find out the moderating effect of employment burnout between involution behavior and employment preparation behavior. Methods To this end, 282 Chinese university students were surveyed for involution behavior, employment preparation behavior, and employment burnout. Based on the collected data, the data of 271 people were analyzed using the SPSS Statistics 26.0 program. Correlation analysis and hierarchical regression analysis were conducted to examine the moderating effect of employment burnout in the relationship between involution behavior and employment preparation behavior. Results As a result of correlation analysis, it was found that involution behavior had a significant positive correlation with both employment burnout and employment preparation behavior. As a result of hierarchical regression analysis, it was found that employment burnout had a moderating effect in the process of involution behavior affecting employment preparation behavior. Among them, the moderating effects of exhaustion and dehumanization, which are sub-factors of employment burnout, were not significant, and the moderating effects of antipathy, inability, and negative beliefs can be confirmed. Conclusions The results of this study will be used as basic data to understand not only the relationship between the three variables, but also the overall employment burnout and the moderating effects of each sub-factor.
A LOCALLY AND GLOBALLY TUNED METAHEURISTIC OPTIMIZATION FOR OVERLAPPING COMMUNITY DETECTION
Authors: Mallick Chandrakant , (Corresponding Author) Parimal Kumar Giri , Mishra Sarojananda
Published: June 2023

Many people use online social networks to share their opinions and information in this digital age. The number of people engaged and their dynamic nature pose a major challenge for social network analysis (SNA). Community detection is one of the most critical and fascinating issues in social network analysis. Researchers frequently employ node features and topological structures to recognize important and meaningful performance in order to locate non-overlapping communities. We introduce a locally and globally tuned multi-objective biogeography-based optimization (LGMBBO) technique in this research for detecting overlapping communities based on the number of connections and node similarity. Four real- world online social network datasets were used in the experiment to assess the quality of both overlapping and non-overlapping partitions. As a result, the model generates a set of solutions that have the best topological structure of a network with node properties. The suggested model will increase their productivity and enhance their abilities to identify significant and pertinent communities.
rol de la Orientación Educativa en el fortalecimiento laboral docente
Authors: Briceño Nuñez Chess Emmanuel , Briceño Delgado Meggy Jacqueline , Montilla Soto Alen David
Published: June 2023

Esta investigación tiene como objetivo, analizar el rol de la orientación escolar en el fortalecimiento del clima laboral docentes. La muestra estuvo conformada por 100 docentes del Municipio Sucre, Estado Trujillo-Venezuela. Se empleó un método positivista descriptivo, bajo la modalidad de proyecto factible, con sus tres fases: diagnostico, factibilidad de la propuesta, diseño de la propuesta. Los resultados demuestran que los docentes se encuentran medianamente competentes para afrontar las labores de orientación en el contexto docente laboral. Se concluye que el docente que cumple la función de orientador escolar debe atender a los actores de la comunidad educativa, por lo que debe ser capaz de crear empatía con cada uno de ellos, afianzando de ese modo un clima laboral adecuado.
temática étnico-racial no currículo de Pedagogia
Authors: Silva Marcos Antonio Batista da
Published: June 2023

Este artigo tem por objetivo geral analisar produções discursivas de membros da comunidade acadêmica da Faculdade de Educação da Universidade Federal do Rio de Janeiro. Deste modo propomos uma discussão sobre os estudos sobre as relações étnico-raciais no currículo do Curso de Licenciatura em Pedagogia, tendo como ponto central as demandas curriculares antirracistas. A investigação está ancorada no debate realizado no campo da educação para as relações étnico-raciais. O método da História Oral incluiu a revisão de literatura sobre a temática e entrevistas que possibilitaram a análise de interpretações concorrentes e relações de poder/conhecimento. A análise revela que embora as políticas públicas educacionais já estejam introduzidas no campo educacional no país, há reivindicações com vistas à uma educação antirracista, onde a discussão acerca dos estudos das relações étnico-raciais ainda ocorrem em disciplinas optativas.
Exponential growth model of weevil populations: a didactic experiment for undergraduate course of Population Ecology
Authors: Bomfim Maria Eduarda , Braz Claudiane , Conceição Vanderléia , Dias Nayara , Dias Francielen , Freitas Elton , Jesus Paloma Regina de , Jesus Verônica de , Junior Roberto , Modesto Vitor , Oliveira Joanna Karine de , Pereira Tainara , Rocha Diana , Sacramento Stefane , Sampaio Roseane , Santos Ana Caroline , Silva Glaucio , Silva Joseane da , Souza Stheffy , Oliveira Guilherme de
Published: June 2023

Exponential model for population growth (exponential model) is a
cornerstone to evaluate population dynamics in Population Ecology field.
Here, we used a didactic experiment to teach exponential model for an
undergraduate course of Population Ecology. We built nine populations of
weevils with three different initial sizes: eight, 16, and 32
individuals with three replicates each. We furnish them equal food
resource availability, and count their sizes weekly across 12 weeks. We
estimated the intrinsic and population growth rates (i.e., r and dN/dt
parameters) by trials and errors with an exponential model build in an
Excel spreadsheet. Replicates with eight and 16 individuals reached the
highest values of r and dN/dt, while replicates with 32 individuals
reached the lowest values. Beyond of exponential model, we observed two
density dependency issues acting in populations. First, in the lowest
initial population sizes we observed the effect of demographic
stochasticity acting in diminishing the number of individuals in one
population. Second, we observed the intraspecific competition reducing r
values in largest initial populations. Therefore, we highlight the
importance of didactic experiment into learning exponential model in
Population Ecology course.
THE INFLUENCE OF MATERNAL COVID-19 ON CARDIAC FUNCTIONS: FROM FETAL LIFE TO INFANCY
Authors: ŞAHAN Yasemin ÖZDEMİR , Sakcak Bedri , Ayhan Sule Goncu , Tanacan Atakan , Kibar Ayse , Sahin Dilek , Çetin İlker
Published: June 2023

Objective: To evaluate both short and mid-term effects of
maternal COVID-19 on cardiac functions of fetuses and children.
Methods: The present case-control study was conducted on 36
pregnant women who had COVID-19 infection in the second trimester of
pregnancy and 30 pregnant women as healthy controls. Fetal, neonatal and
infant cardiac functions were compared between the groups. Assessment of
fetal cardiac functions were performed in the last trimester of the
pregnancy at least 6 weeks after the recovery of infection. The first
postnatal echo was performed within the first two weeks and the
follow-up (second) echo was performed in the 6-8 weeks of life.
Results: The demografic data were similar between groups.
Interventricular septum and left ventricular posterior wall
end-diastolic dimensions were significantly higher in the study group in
both fetal, neonatal and infant periods. Impaired diastolic functions of
right and left ventricles were detected and myocardial performance
indexes with tissue doppler imaging of both lateral walls and septum
were significantly higher than controls at all periods.
Conclusion: Maternal COVID-19 seems to have a global impact on
cardiac functions of babies in the short and mid-term periods after
maternal recovery.
The Size Distribution of the Agitated Saline Microbubbles for c-TCD generated using Standard Manual Methods
Authors: Pan zhengbin , Xiao Yiting , Wang Zhiyue , Kong Bo , Liang Yiyi
Published: June 2023

Agitated saline microbubbles (MBs) is a common contrast agent for
determining right-to-left shunt (RLS) by the contrast Transcranial
Doppler (c-TCD). The size of the generated bubbles is not standardized
in clinical practice. The microbubbles were generated using the
recommended manual method by reciprocating motion through two syringes.
The bubble size distributions (BSD) were measured using the microscopic
shadow imaging technique. The results show that the diameter of MBs is
mainly distributed between 10-100 µm, the mean bubble size is between
21-34 μm, the Sauter mean diameter (D ) is mainly
between 50-300 μm, and the standard deviation (SD) is between 6-17 μm in
60 experiments. It provides a more accurate basis for the recommended
manual method instability. The high variance values of the BSD indicate
that the manual method has low stability and repeatability. The results
of this study can be useful for further improvement of the reliability
of c-TCD in detecting RLS. Research Highlights This study
provided the first detailed descriptions of the size distribution of
microbubbles in a flowing contrast agent by the microscopic shadow
imaging technique. It reveals significant differences in the bubble size
of manual foaming during repeated manipulations for each individual and
between individuals.
MMP-2 regulates Src activation via repression of the CHK/MATK tumor suppressor in Osteosarcoma
Authors: Maybee Deanna , Cromwell Christopher , Hubbard Basil , Ali Mohammad
Published: June 2023

Doxorubicin, a first-line anticancer drug for osteosarcoma treatment,
has been the subject of recent research exploring the mechanisms behind
its chemoresistance and its ability to enhance cell migration at
sublethal concentrations. Matrix metalloproteinase-2 (MMP-2), a type IV
collagenase and zinc-dependent endopeptidase, is well-known for
degrading the extracellular matrix and promoting cancer metastasis. Our
previous work demonstrated that nuclear MMP-2 regulates ribosomal RNA
transcription via histone clipping, thereby controlling gene expression.
Additionally, MMP-2 activity is regulated by the non-receptor tyrosine
kinase and oncogene, Src, which plays a crucial role in cell adhesion,
invasion, and metastasis. Src kinase is primarily regulated by two
endogenous inhibitors: C-terminal Src kinase (Csk) and Csk homologous
kinase (CHK/MATK). In this study, we reveal that the MMP-2 gene acts as
an upstream regulator of Src kinase activity by suppressing its
endogenous inhibitor, CHK/MATK, in osteosarcoma cells. We also show that
enhanced osteosarcoma cell migration which is induced by sublethal
concentrations of doxorubicin can be overcome by inactivating the MMP-2
gene or overexpressing CHK/MATK. Our findings highlight the MMP-2 gene
as a promising additional target for combating cancer cell migration and
metastasis. This is due to its impact on the gene and protein expression
of the tumor suppressor CHK/MATK in osteosarcoma. By targeting the MMP-2
gene, we can potentially enhance the effectiveness of doxorubicin
treatment and reduce chemoresistance in osteosarcoma.
New features and enhancements in Community Land Model (CLM5) snow albedo modeling: description, sensitivity, and evaluation
Authors: He Cenlin , Flanner Mark , Lawrence David M , Gu Yu
Published: June 2023

We enhance the Community Land Model (CLM) snow albedo modeling by
implementing several new features with more realistic and physical
representations of snow-aerosol-radiation interactions. Specifically, we
incorporate the following model enhancements: (1) updating ice and
aerosol optical properties with more realistic and accurate datasets,
(2) adding multiple dust types, (3) adding multiple surface downward
solar spectra to account for different atmospheric conditions, (4)
incorporating a more accurate adding-doubling radiative transfer solver,
(5) adding nonspherical snow grain representation, (6) adding black
carbon-snow and dust-snow internal mixing representations, and (7)
adding a hyperspectral (480-band versus the default 5-band) modeling
capability. These model features/enhancements are included as new CLM
physics/namelist options, which allows for quantification of model
sensitivity to snow albedo processes and for multi-physics model
ensemble analyses for uncertainty assessment. The model updates will be
included in the next CLM version release. Sensitivity analyses reveal
stronger impacts of using the new adding-doubling solver, nonspherical
snow grains, and aerosol-snow internal mixing than the other new
features/enhancements. These enhanced snow albedo representations
improve the CLM simulated global snowpack evolution and land surface
conditions, with reduced biases in simulated snow surface albedo, snow
cover, snow water equivalent, snow depth, and surface temperature,
particularly over northern mid-latitude mountainous regions and polar
regions.
Asia’s Low-Carbon Transition: Opportunities and Challenges for Trade
Authors: Jin Kang Sung
Published: June 2023

This paper finds the green trade pattern of Asian economies is increasing in terms of its export share within the region and in global trade. However, the green imports share showed faster growth than the exports share. In addition, the pattern of green trade differs depending on green industry definitions, pointing to a need for international consensus on defining green trade in order to measure and analyze patterns more accurately.
Ekspresi VEGF di Jaringan Hati Tikus Pasca Induksi 2AAF/CCl4
Authors: Liem Isabella Kurnia , Alvarabie Radietya , Oktorina Fanny , Husna Firda Asma'ul , Wuyung Puspita Eka , Kodariah Ria
Published: June 2023

Vascular Endothelial Growth Factor (VEGF) merupakan sebuah faktor angiogenik poten yang terpicu ekspresinya jika jaringan hati mengalami cedera. Pada cedera hati kronis, VEGF diduga dapat berperan sebagai faktor pro-fibrotik atau anti-fibrotik. Penelitian ini dilakukan untuk mengetahui peningkatan ekspresi VEGF di jaringan hati tikus model dengan cedera hati kronis 2AAF/CCl4 (2-acetylaminofluorene dan carbon tetrachloride). Penelitian menggunakan desain eksperimental dan dilakukan sejak Oktober 2019- April 2021 di laboratorium Patologi Anatomi dan Departemen Anatomi Fakultas Kedokteran Universitas Indonesia.  Dua belas ekor tikus Wistar dibagi menjadi dua kelompok, yaitu kelompok kontrol (normal; n=6) dan kelompok perlakuan (diinduksi dengan 2AAF/CCl4; n=6). Dilakukan pemeriksaan morfologi hati dengan pewarnaan hematoxylin eosin dan Masson’s trichrome dengan skoring NAFLD activity score (NAS) dan pengukuran kadar VEGF menggunakan pewarnaan imunohistokimia. Semua tikus kelompok perlakuan mengalami kerusakan hati dan fibrosis, dengan kerusakan hati terbanyak mencapai derajat 5 (5 dari 6) dan fibrosis hati terbanyak mencapai derajat 2 (4 dari 6). Sedangkan pada kelompok kontrol, semua  tikus menunjukkan morfologi hati dalam kondisi normal (derajat 0). Skor ekspresi VEGF pada kelompok perlakuan (median [min-max] = (115 [97-141]) tidak meningkat bermakna (uji Mann-Whitney U; p=0,688) dibandingkan kelompok kontrol (112 [94-129]).  Disimpulkan bahwa pada jaringan hati tikus model cedera hati yang diinduksi oleh 2AAF/CCl4 terdapat peningkatan VEGF namun tidak bermakna secara statistik.
STEAM: Science, Technology, Engineering, Art, and Mathematics on History Learning in the 21st Century
Authors: Lestari Dea , Ibrahim Nurzengky , Iriani Corry
Published: June 2023

Implementation of STEAM, both teachers and students, are still a little confused with the concept of STEAM. This article discusses how to apply STEAM and what difficulties educators face when implementing STEAM. This study aims to analyze how the implementation of STEAM in history learning in the 21st century. This study uses qualitative research with a case study research design. Observation data collection techniques, and interviews. The validity of the data was tested through triangulation of sources and using descriptive analysis. The results of this study indicate that STEAM has been applied in history learning. In addition, the implementation of STEAM is an effort to integrate STEAM into one with history learning, by linking the elements of STEAM, so students are given a holistic understanding of the interrelationships of the fields of science through 21st century learning experiences. STEAM is one of the important concepts that must be mastered by history teachers to integrate history material with other sciences, then make students have high thinking and analytical power in the learning process.
The Use of Learning Methods in Learning History During the Covid-19 Pandemic
Authors: Hiskiya Frensen S , Sarkadi  , Ibrahim Nurzengky
Published: June 2023

During the Covid-19 pandemic, online learning was carried out so that learning had to be done from home to break the Covid-19 chain. This study aims to analyze the use of the history learning method used during the Covid-19 pandemic. The research method used was descriptive qualitative. By using a case study approaches so that data collection in the research process uses observation, interviews, and documentation techniques. Furthermore, the data and sources of this research data come from the schools studied. The results of the study found that several history learning methods were used during the Covid-19 pandemic, such as the audiovisual method, the indirect learning method, the project method, and the group work method. This learning method is most often used by teachers in conducting history lessons during the Covid-19 pandemic. By using various learning methods in learning history, students are very happy because the method used is not boring during learning hours by using learning methods and materials carried out by the teacher, students are also very quick to understand the material conveyed by the teacher in carrying out learning.
Google Meet and Google Classroom on Learning History: Review from Students Perspective
Authors: Marian Ayuhel Letrik , Umasih  , Sarkadi
Published: June 2023

Changes in the learning process require teachers to be more creative and innovative in delivering learning. The effectiveness of online learning needs to be considered, by utilizing various platforms, including using Google Classroom and Google Meet in history learning. This study aims to analyze the students' perspectives are related to the effectiveness of the platforms used during distance learning. The method used in this research is descriptive with a quantitative approach. Respondents in this study were 39 active students, eleventh grade. Data was collected using an online questionnaire via Google Form. The results of this study indicate that as many as 81.3% of students stated that they were motivated to take part in learning because it did not require a lot of quota, and the features used on the platform were very easy to operate and very attractive. Meanwhile, 18.7% of respondents stated that they were not interested in the platforms used in online learning and needed an alternative platform. From this it appears that in general these two platforms are one of the right choices to use, which is not only appropriate for the suitability of the material, or with the characteristics of students, but also the right platform because it does not require too much of a large quota load but is sufficient in online usage that does not burdensome students.
E-Module Development: Frog Jumping Game for Mentawai Inland Tribe Children Based on Local Wisdom
Authors: Komaini Anton , Inarta Gian Utomo , Kiram Phil Yanuar , Handayani Sri Gusti
Published: June 2023

Motor development is very important in the stages of child development. Children's motor development is in accordance with the characteristics of children, namely playing so that good motor skills are needed to be able to support children's daily activities. This study aims to analyze the results of e-module development and gross motor skills of students in Mentawai district. This research is a type of development research (R&D). This research was developed using the ADDIE development model. The instruments used were media expert validation questionnaires, material expert validation questionnaires, response questionnaires, and student motor skills observation sheets. The population of this study were students at Mentawai district, selected by purposive sampling technique. In this study, the data analyzed by using descriptive statistics (mean, frequency, percentage, median mode) and inferential statistics (assumption tests and hypothesis testing in the form of tests and correlation tests). The results showed that the electronic modules produced were categorized as good and there were differences in the results of the gross motor skills of the students in Mentawai district before and after the use of e-modules. This can be seen from the significance values obtained, namely 0.000 and 0.030. The conclusion that can be drawn is the creation of an electronic module for the frog jump game with a good category based on the results of media expert validation and material expert validation that can be accessed via a smartphone or laptop.
Problem Based Learning Oriented Thematic Worksheets: Increased Discipline of Elementary School Students
Authors: Nugraheni Wahyu Nur , Sutama
Published: June 2023

Learning activities in elementary schools are carried out by paying attention to all aspects that need to be nurtured and developed properly. Learning activities must cover three domains, namely affective, cognitive, and psychomotor. The teacher's patterns and strategies in implementing the concept understanding process are important points in delivering learning. Worksheets is certainly a process for students to seek further understanding of the concepts presented by the teacher. This  study aims to analyze the effect of problem-based learning-oriented thematic worksheets on discipline character of elementary school students. This research method is quasi-experimental on the fourth grade students. The data analysis applied, namely the t-test, is one of the parametric statistical tests with two measurements. In implementing the problem-based learning-oriented thematic worksheets, there are several stages, namely introduction to the teacher, pre-test implementation, introduction to students, post-test implementation, and processing data with validity and reliability tests. By getting the results the average pre test shows 3.125 and the average post test shows 3.575. From these results, there is an increase in discipline in working on worksheets.
Content Validity of Flipped Learning-Based Statistical Learning Evaluation Instruments at Tourism Colleges
Authors: Sugiharni Gusti Ayu Dessy
Published: June 2023

The problem that occurs is that there are still many researchers who have not paid attention to the content validity of the evaluation instruments used in evaluation activities. Seeing the important role of the evaluation instrument as a measuring tool, it is necessary to determine the content validity of the evaluation instrument. This study aims to show in detail the process of calculating the content validity of an evaluation instrument that is specifically used in evaluating the quality of statistical learning based on flipped learning at tourism tertiary institutions after the Covid-19 pandemic. This type of research is the development of instruments using a quantitative approach. The subjects of this study were several experts who were involved in testing the content validity of the evaluation instrument. The number of experts involved was 4 experts, including: 1 expert in mathematics education, 1 expert in tourism, 1 expert in informatics engineering education, and 1 expert in education evaluation. The tool used by experts to assess the evaluation instrument items is a questionnaire consisting of 26 questions. The formula used to analyze the results of the content validity test of the evaluation instrument is Aiken. The data analysis technique for the results of the content validity test was carried out by comparing the results of the average value of V from the calculation of the Aiken formula with the Gregory validity categorization. The results showed that 18 valid instruments and 8 invalid instruments. In addition, from the average V value of 0.668, it can be stated that the evaluation instrument specifically used in evaluating the quality of statistical learning based on flipped learning at tourism tertiary institutions after the Covid-19 pandemic is classified as high validity.
KETAHANAN PANGAN ANGGOTA DAN NONANGGOTA KWT MEKAR JAYA PENERIMA PROGRAM PEKARANGAN PANGAN LESTARI SELAMA PANDEMI COVID-19
Authors: Setiawan Rendi , Indriani Yaktiworo , Riantini Maya
Published: June 2023

Goals of this study is to analyze food security and factors influencing food security of members and nonmembers of KWT Mekar Jaya, the recipient of the sustainable food yard program (P2L). This study was conducted purposively in Giri Tunggal Village of Pagelaran Utara Subdistrict of Pringsewu Regency.  There were 60 household samples consisting of 30 members and 30 nonmembers of KWT Mekar Jaya.  The main and second data of this research was collected in April-July 2021.  The first aim was analyzed by crosstabs between the part of food expenditure and sufficiency of energy and the second goal was analyzed by logistic regression.  The results of this study showed that most respondents (65%) are classified as food resistant, and the rest (35%) are classified as vulnerable to food. The factors that influenced the household food security were the number of family members and household income. Key words: food security, household, KWT Mekar Jaya, P2L