bluuebunny/crossref_metadata_2025 huggingface dataset:
A Case Study of East Asian Invention Censorship in the U.S. Education–Printing Press and Compass
Authors: Yoo Nicholas , Thompson John
Published: May 2023

The lack of appreciation for non-Western world cultures and histories plays a cardinal role in today’s racial and ethnic hate crimes. Traditionally, much of the world history curricula in the United States’ public school systems have a tendency to focus on the Western world, which includes Europe, America, and Oceania, with slight mentions of society beyond that are often from a Western perspective. This omission causes misunderstanding of significant contributions understudied civilizations have made on this world. This case study uses primary and scholarly secondary sources to provide insight into two major inventions from East Asia, often incorrectly overlooked as a product of Europe, by discussing their origins and where they stand today. Furthermore, the paper analyzes the history of world history education in United States classrooms. Inventions are the focus in this review because many people do not realize how lives may change, sometimes for the worse, if simple objects like paper money or navigational systems are stripped away. The misinformation of the origin of such inventions often brings disregard for their impact. When educators fail to identify these issues and orient their classes to the ever-present Eurocentric model, this cycle of misunderstanding continues. Diminishing the accomplishments of non-Western communities feed historical stereotypes of those cultures being uncivilized and unadvanced, ultimately acting as a catalyst for the social injustices prevalent today. Because of such inventions' direct effect on our lives, it is critical we look at them compared to other parts of non-Western world culture that have been censored.
iNaturalist as a Tool to Study the Impact of Time of Day on Shorebird Observations
Authors: Chidambaram Siddharth , Ganesan Sree
Published: May 2023

As citizen science platforms, such as iNaturalist, become more popular and more data becomes available, they can be a useful tool for research purposes. In this paper we study the effects of the time of day on the amount of shorebird observations made by citizen scientists. “Research grade” data from iNaturalist was used, and the data was collected from the Don Edwards National Wildlife Refuge in Palo Alto, California, United States. We focused on the following shorebird species, namely American Avocet, Black-Necked Stilt, Greater and Lesser Yellowlegs, Sandpipers, Killdeer, and American Coot. We analyze the data collected at this refuge from the year 2000, and present our findings. Shorebird observations are made mostly during the day, and fairly uniform across days of the month, with more observations made during winter months and fewer made during the summer. In addition, the majority of observations were made during 2020 and 2021, coinciding with the COVID pandemic. We observed that citizen scientists were more likely to record observations of larger, more conspicuous shorebirds.
The Various Methods to Prevent Lithium Toxicity in Treatment for Patients with Bipolar Disorder
Authors: Sriram Diksha , Liao Clara
Published: May 2023

Bipolar disorder (BD) is a serious mental illness that leads to considerable shifts in mood, energy, and physical activity levels, impairing a person’s ability to complete day-to-day tasks.  About 4.4% of adults in the US report having experienced an episode of BD at least once in their life, and approximately 82.9% of people with BD are left severely impaired.  To combat this, doctors prescribe lithium, which is an effective mood stabilizer that can regulate the extreme highs and lows of BD.  However, lithium is a toxic substance when it exceeds the therapeutic range, requiring frequent trips to the hospital to evaluate blood lithium levels Such monitoring  may not always be effectively feasible, especially for patients experiencing a mental health crisis or patients in rural areas without local medical facilities.   

Research studies have been conducted to provide patients with alternative  methods to avoid lithium toxicity including  ways to check the lithium levels on their own  Additionally, studies investigate the ideal dosing regimen to prevent toxic side effects, while others aim to prevent toxicity before it happens.
The Effectiveness of Group Music Therapy as a Treatment for Youths with Depression
Authors: Choi Kaitlyn , Kirby Walter
Published: May 2023

Adolescents are uniquely susceptible to depression, which is a mood disorder that causes severe symptoms which affect how one thinks, feels, and handles daily activities (Geipel et al.1: National Institute of Health). Pharmacotherapy and psychotherapy are the two leading modes of treatment for youths, but pharmacotherapy has been found to increase risks of relapse and suicide (Erkkila et al. 2). Within psychotherapy, group music therapy has emerged as a strong treatment option to meet the unique needs of adolescents. Music therapy is the clinical and evidence-based use of music intervention to accomplish individualized goals within a therapy program (American Music Therapy Association). Group music therapy allows for connections and interpersonal relationships to be built, provides an alternate form of expression, and has a collaborative aspect; this differentiates group music therapy from other types of therapy. This paper will examine what current treatment options for depression in youths are lacking, different opinions about group music therapy, and challenges against implementation of group music therapy as a widespread treatment method for depression in youths.
Audio Classification of Bird Species Using Convolutional Neural Networks
Authors: Wang Jocelyn , Goldsztein Guillermo
Published: May 2023

As the total number of birds has declined in the billions over the last 50 years, an accurate method for classifying bird species is necessary for conservation efforts and population monitoring. One promising method is using machine learning models to classify birds by their sounds, which has emerged due to benefits such as being less affected by environmental factors (eg. habitat, time of day), and lower disturbances to bird species during the data collection process, contrary to other processes such as image classification. As audio processing may eventually become the main method of classifying birds and may be used as an important conservation tool, it is imperative to understand the challenges that must be overcome before it can be successfully applied. In this work, the programming language Python and the machine learning model Convolutional Neural Networks were used to process and classify audio recordings from over 150 different bird species. This study demonstrates that although audio classification is a promising method of classification, many challenges are still present in the field, such as the amount of variety in the different calls of a single bird, the presence of background noises in many audio recordings, and the difficulty in efficiently representing an audio signal with images, highlighting the importance of overcoming these challenges for conservation efforts.
Prevalence of ADHD in Vietnamese Children
Authors: Tran Pham Nhu Mai
Published: May 2023

Purpose: ADHD is a detrimental disorder found commonly in children. As more research is done on the prevalence of ADHD in children around the world, Vietnam has started to join in the trend. However, there has not been enough data collected on the prevalence of ADHD children in different provinces in Vietnam. This study aims to propose a method to collect data on the prevalence of ADHD and explain the risk factors for ADHD in  6 to 7 years old Ha Tinh children.

Patients and Methods: This research’s method is based on a previous research’s method. There will be a cross-sectional study of 1796 students from 14 randomly selected elementary schools from 14 districts of Ha Tinh. The information will be gathered through a two-part Vanderbilt-Assessment-scale-based questionnaire which will be distributed to the guardians and teachers to fill in, and individual interviews for each guardian and teacher.

Limitations (intended): For a topic with little recognition in Vietnam yet, this research might lack the adequate human resources, fundings and participants’ consent.

Conclusions (tentative): This problem requires more attention from both the public and government in order to be dealt with effectively.
A National Comparative Content Analysis of Gender Stereotypes in Children’s TV Shows
Authors: Handa Shreya , Rossner Kate
Published: May 2023

Gender stereotypes negatively affect people’s views and opinions on gender and, thus, bolster gender inequalities. Recently, the children’s TV industry has been reinforcing gender stereotypes throughout its shows, which can be highly detrimental to a child’s upbringing. In addition, countries of different socioeconomic levels vary in the progress of gender equality. This discrepancy creates a barrier in identifying where exactly change needs to be initiated in the children’s TV industry. Therefore, this study 1) identifies gender stereotypes in children’s TV shows, 2) examines the differences in gender stereotypes in the United States and India, and 3) examines whether or not gender stereotype patterns have changed over the past decade. Based on specified criteria, the 4 following TV shows were selected: 1) Arthur, 2) Thomas & Friends, 3) Chhota Bheem, and 4) Bapu and assessed on 5 gender-stereotyped domains: 1) the prominence of female and male characters, 2) terms used when describing characters, 3) activities & occupation, 4) talkativeness, and 5) appearance. To measure the variability of gender stereotypes in each show, momentary-time sampling, and average mean were also used. Overall, findings show that gender stereotype patterns are present in children’s TV shows, have decreased over the past decade, and have a greater presence in Indian TV shows than in American TV shows. These results show a need for drastic change and equity worldwide in the children’s TV industry.
The Viability of Implementing Blue Zone Practices Within the United States
Authors: Whitcomb Margaux
Published: May 2023

The majority of population health risk factors in the United States are closely related to the social, demographic, environmental, economic, and geographic characteristics of the areas where people live and work (Harold, 2014). Despite an exponential increase in health risks and mortality rates, Blue Zones exist. The term "Blue Zone" refers to an area or community with a high concentration of centenarians and populations of people who have lived to old age free of “disease and/or health conditions such as obesity, cancer, diabetes, and heart issues” (Marston et al., 2021). Factors identified as commonalities between Blue Zones can be applied to communities regardless of their social, demographic, environmental, economic, and geographic characteristics. Thus, the examination and implementation of Blue Zone practices may be applicable to the improvement of public health within the United States.  While a variety of actions may be taken to improve health within the United States, this paper examines the viability of the implementation of Blue Zone practices within communities, the implementation of lifestyle medicine framework within healthcare facilities, and ultimately, suggests the implementation of a synthesis of the respective frameworks.
Reconstructing Static Memories from the Brain with EEG Feature Extraction and Generative Adversarial Networks
Authors: Zhang Matthew
Published: May 2023

Forensic tools and facial recognition techniques have implemented state memory reconstruction in the court of law. Recent research has incorporated machine learning into this field in order to fulfill the rising demand for this service. However, the suggested solutions require expensive cutting-edge equipment such as fMRI and CT scanners. The goal of the present study is to recreate images using user electroencephalography (EEG) input patterns. We combined a discriminator and generator network in order to decrease blur, face distortion, and erroneous features in the ImageNet dataset. An EEG feature matrix was produced using a convolutional neural network (CNN) encoder from spectrogram inputs, which are visual representations of the spectrum of electrical frequencies observed at each electrode. The encoder produced an 85% accuracy when linking spectrograms to the labels of the relevant images. The feature matrix was passed into the GAN during training. The viability of image reconstruction and coherent image representation from the brain were both proved feasible to a dependable degree due to our GAN output images’ resemblance to the original dataset. The present work could find applications in future studies as a non-invasive, more affordable option to recreate memories from brain signals.
Can Multinational Enterprises be Taxed in an Egalitarian way?
Authors: Schneekloth Jacob , Trueblood Leah
Published: May 2023

Failure to properly tax multinational enterprises (MNEs) located in host states where their users are results in a loss of $155 billion annually. The Organization for Economic Co-operation and Development (OECD) introduced two reform pillars in 2021 to address this gap. The first pillar provides a new taxing framework to replace the current one (Digital Services Taxes). It offers new taxing authority to host states where the consumers are located. The second pillar establishes a base rate for corporate taxes worldwide. Although the OECD proposals are a welcome step in the right direction, they fall short because they need to strike the proper balance between autonomy and flexibility. This paper promotes a compromise between incompetent digital services taxes (DSTs) and redistributing taxing authority. The proposal here aims to establish parameters that host states can work within while preserving countries’ independence to determine their rates. To tax MNEs “appropriately” means striking this balance. The proposals in this paper are driven by liberal egalitarianism and impure welfare philosophies of taxation, which emphasize equal opportunity for more equitable MNE taxation and a more equitable world.
Quick Clean Water: IoT and Machine Learning-Based Water Contamination Detection System
Authors: Singh Nehal
Published: May 2023

Quick Clean Water can detect water contamination in private wells, piped water, surface water, and water used for agriculture, recreation, and other purposes in developed and developing countries. Current testing systems are slow, costly, low in availability, and give back minimal results of 10-16 contaminants using expensive strips. Quick Clean Water is reusable, easy-to-use, portable, affordable, and gives advanced results of presently 21 contaminants. First, the Quick Clean Water device calculates the pH, turbidity, temperature, total dissolved solids, conductivity, and salinity using sensors. Inputting the pH, turbidity, conductivity, and TDS, a machine learning model using the Random Ensemble algorithm predicts whether the water is safe at a 55% accuracy rate, which can be improved through data augmentation. Several algorithms were tested and evaluated by the precision, recall, f-score, specificity, negative predictive value, and accuracy rates. The hypothesis was that the K-Means Clustering would result in the best model, but Random Ensemble was the most efficient. If the water is classified as non-potable, users can enter the odor, color, and taste of their water into a 99% accurate ML model using the Random Ensemble algorithm to identify the exact contaminant in their water, which can be advanced by researching more contaminants.
Trends among Flux, Luminosity, and Color Indices in High Redshift QSOs
Authors: Kurapati Datta , Dubagunta Varun , Mitra Shyamal
Published: May 2023

The following study discusses the relationship of high redshift(z) Quasi Stellar Objects’(QSOs) flux, luminosity, and color indices. The paper analyzes observable trends among these 3 variables and uses them to understand the distribution of QSOs across space-time. While many such studies have been conducted in redshift ranges of 1<z<4, the following research or study has been done in the relatively unexplored date range of 2 <z<7. To answer this question, we used the Sloan Digital Sky Survey to obtain samples, curate the data, and analyze it using Python Data Science tools including Pandas and Matplotlib. The results suggest a general trend of increasing data density with the progression of distance and convergence of QSO Magnitude distributions about the median. This research provides insight into the evolution of QSOs over space-time and why they occurred.
Libros en Casa: A Case Study of an Online Spanish Book Club for Latino Youth During COVID-19
Authors: Pandey Meera , Benki Angel , Satterfield Teresa
Published: May 2023

This case study presents data on the impact of “Kindles4COVID”, a novel youth-led book club initiative to promote student reading while staying socially connected in the era of COVID-19. We report on quantitative and qualitative outcomes of US heritage Spanish-speaking students, ages 10 -13, who participated in a Spanish-language version of the online book club. Research on Latino youths’ social activities and literacy is especially important since one out of four students in US public schools is Hispanic; also, serious mental health issues are on the rise for US Spanish-speaking students ages 12 - 19.  We collected weekly survey data of 40 bilingual and biliterate Spanish book club participants during one academic year. Our findings show that students across all age groups, socioeconomic classes and genders reported increased reading and a wider circle of friends due to book club activities. 100% of participants commented positively about having a ‘safe’ space to be with students who shared their Latino identity. This study has important implications for how communities can support Latino youth, both academically and culturally.
Dataset for identification of queerphobia
Authors: Banerjee Shivum , Nguyen Hieu
Published: May 2023

While social media platforms have implemented many algorithmic approaches to moderating hate speech, there is a lack of datasets on queerphobia which has impeded efforts to automatically recognize and moderate queerphobic hate speech online. Queerphobic hate speech is speech that is intended to degrade, insult, or incite violence or prejudicial action against queer people, who are those from a sexuality, gender, or romantic minority. This speech results in worsened mental and emotional outcomes for queer people and can contribute to anti-queer violence. The goal of this study is to create a dataset of queerphobic YouTube comments to further efforts to identify and moderate queerphobic hate speech. To construct this dataset, 10,000 comments were sourced from YouTube videos which represent queerness. Then, volunteers manually annotated each comment in accordance with specific guidelines. Various natural language processing (NLP) models were used to extract features from the text, and several classifiers used these features to categorize comments as queerphobic or non-queerphobic. These NLP models illustrate a baseline for performance on this data. In making this dataset, we hope to further research in the recognition of digital queerphobia and make social media platforms safer for queer people. The dataset can be found at https://github.com/ShivumB/dataset-for-identification-of-queerphobia.
Effects of Machine Learning Algorithms for Predicting and Optimizing the Properties of New Materials in the United States
Authors: Smith John
Published: May 2023

Purpose: The aim of this study is to investigate the effects of machine learning algorithms in predicting and optimizing the properties of new materials in the United States.

Materials and Methods: The study adopted a desktop methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low-cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.

Results: The research found that machine learning algorithms have a significant impact on materials prediction and optimization in the United States, particularly in energy storage, catalysis, electronics, and aerospace. These algorithms offer advantages in efficiency, scalability, and accuracy compared to traditional methods, but challenges such as data quality, scarcity, interpretability, and reliability need to be addressed to ensure robust and reliable predictions.

Recommendations:  This study contributes to the understanding of the effects of machine learning algorithms in predicting and optimizing the properties of new materials in the United States. The research advances the knowledge in the field of materials science, materials prediction, and materials optimization. The findings provide insights into the potential of machine learning algorithms for accelerating materials discovery and innovation, and highlight the challenges and opportunities in their application for materials prediction and optimization. The study has practical implications for researchers, engineers, and policymakers involved in materials science, materials design, and materials innovation. The research underscores the importance of leveraging machine learning algorithms as a powerful tool for materials prediction and optimization, and emphasizes the need for further research, development, and integration of these techniques in materials science and engineering practices.
Dampak Pandemi Covid-19 terhadap Volume Penjualan dan Pendapatan Usahatani Bunga Gerbera (Studi Kasus di P4S Mitra Veteran Mandiri, Bandungan)
Authors: Agus Setiadi  dan  Kustopo Budiraharjo Nabiilah Zayyaan Salsabiilah Widarto,
Published: May 2023

ABSTRAKPenelitian bertujuan untuk membandingkan volume penjualan dan pendapatan usahatani bunga Gerbera sebelum dan saat pandemi Covid-19. Lokasi penelitian yaitu di P4S Mitra Veteran Mandiri, Desa Candi, Dusun Talun, Kecamatan Bandungan, Kabupaten Semarang, Jawa Tengah. Metode penelitian yang digunakan adalah studi kasus dengan pengambilan sampel sensus, dimana jumlah sampel adalah 50 petani.  Metode analisis yang digunakan adalah analisis deskriptif kuantitatif, meliputi biaya produksi, volume produksi, volume penjualan, penerimaan, pendapatan dan analisis beda.  Analisis volume penjualan dan pendapatan di uji menggunakan paired sample t-test untuk mengetahui perbedaan volume penjualan dan pendapatan sebelum dan saat pandemi Covid-19. Penelitian menunjukkan bahwa pandemi Covid-19 sangat berpengaruh terhadap penjualan dan pendapatan usahatani bunga Gerbera di P4S Mitra Veteran Mandiri. Rata-rata penjualan sebelum pandemi Covid-19 (2018 dan 2019) dan saat pandemi Covid-19 (2020 dan 2021) berturut-turut sebesar  18.092 dan 9.125 ikat/tahun. Rata-rata pendapatan sebelum dan saat pandemi Covid-19 berturut-turut sebesar Rp. 198.343.019 dan Rp. 21.129.154/tahun. Hasil uji paired sample t-test menunjukkan signifikansi 0,000, yang berarti terdapat perbedaan nyata volume penjualan dan pendapatan usahatani bunga Gerbera sebelum dan saat pandemi Covid-19 di P4S Mitra Veteran Mandiri.
Analisis Perbedaan Finansial Usahatani Kentang Granola Dan Kentang Atlantik Di Kecamatan Ngablak Kabupaten Magelang
Authors: Ryantoko Setyo Prayitno  dan  Karyadi Syafiq Ali Izzudin,
Published: May 2023

ABSTRAKPenelitian ini bertujuan untuk mengetahui : 1) Kelayakan usahatani kentang granola dan kentang atlantik di Kabupaten Magelang; 2) Perbedaan penerimaan usahatani kentang granola dan usahatani kentang atlantik di Kabupaten Magelang; 3) Pengaruh sarana produksi  dan tenaga kerja terhadap pendapatan usahatani kentang granola dan kentang atlantik di Kabupaten Magelang. Penelitian ini berupa penelitian deskriptif yang dilakukan pada bulan Januari-Juni 2022. Pengambilan sampel dengan stratified random sampling. Pengujian sesuai dengan tujuan penelitian secara statistik yaitu menggunakan uji t, regresi linear berganda dan analisis kelayakan usahatani dilakukan dengan menggunakan RC Ratio, BEP(Q), BEP (Rp) dan ROI. Dari hasil penelitian dapat diketahui 1) Analisis kelayakan usahatani kentang granola dengan nilai RCR sebesar 1,52 ( 1 ), BEP(Q)=7.578 kg (riil =11.545 kg) , BEP(Rp) = Rp. 5.551 (riil = Rp 8.585,42) dan ROI = 151,58%, Sedangkan usahatani kentang atlantik dengan nilai RCR sebesar 1,28 (1), BEP(Q)=7.668 kg (riil = 11.443kg), BEP(Rp) = Rp 6.512 (riil = Rp 8.282,29) dan ROI = 127%. 2) terdapat perbedaan pendapatan yang sangat signifikan antara usahatani kentang granola dan usahatani kentang atlantik dengan t hitung = 3,665 dengan signifikansi 0,001 0,005. 3) analisis Regresi Linear Berganda menunjukkan secara simultan, faktor-faktor produksi benih, pupuk, pestisida dan tenaga kerja berpengaruh nyata terhadap pendapatan usahatani kentang dan atlantik. Secara parsial faktor produksi yang berpengaruh terhadap pendapatan usahatani kentang granola adalah pupuk dan pestisida sedangkan pada kentang atlantik adalah pupuk dan pestisida. Kedua jenis usahatani dalam kategori menguntungkan dan layak untuk diusahakann namun usahatani kentang granola lebih menguntungkan bila dibandingkan dengan usahatani kentang atlantik.
A Review of Policies and Regulations of Green Infrastructure Establishment in Kuala Lumpur, Malaysia
Authors: Seng Yeo Owen Thian , Mohd Yusof Mohd Johari , Maruthaveeran Sreetheran , Saito Kei , Abu Kasim Junainah
Published: May 2023

Kuala Lumpur (KL), a capital city of Malaysia has experienced significant development that has led to the fragmentation of urban green spaces. Even though green infrastructure (GI) may address the problem of green space fragmentation, there is a notable gap in the extent to which the existing policies and regulations support the development of GI in KL. Hence, a set of policies and regulations pertaining to GI patch and corridor establishment in KL is reviewed in this study. In total, 77 documents related to policies and regulations that might contribute to GI establishment spatially were studied using thematic analysis. Next, the identified GI elements were themed together based on policies and regulations. The outcomes revealed that most policies and regulations focused on patches with 15 categories, followed by corridors (three categories) and components (one category). A typology of Malaysia’s GI from the policies and regulations is prescribed in this study. The reported findings may catalyse GI planning and establishment in KL for a more sustainable future.
Programa de Ajustamento Estrutural da Guiné Bissau
Authors: Siga Besna , Lima Jandir Ferrera de
Published: May 2023

Resumo: Esse artigo analisa os efeitos do Programa de Ajuste Estrutural (PAE) na Guiné Bissau, no período de 1987-1994. O texto evidencia, por meio da revisão bibliográfica e a pesquisa documental, os impactos das ações idealizadas e apoiadas pelo Banco Mundial (BM) e o Fundo Monetário Internacional (FMI) e apresentadas como instrumentos de crescimento econômico e soluções para dificuldades enfrentadas na luta contra o subdesenvolvimento econômico. Apesar das ações de estabilização financeira, a Guiné Bissau continua com sérios problemas de desenvolvimento socioeconômico.

Palavras-chave: Desenvolvimento econômico, crescimento econômico, economia Bissau guineense.
GESTÃO E ESTRATÉGIA DIFERENCIANDO A RENTABILIDADE DOS FUNDOS DE INVESTIMENTO IMOBILIÁRIO
Authors: Hercos Junior José Braz , Brandão Ramalho Ingrid
Published: May 2023

O objetivo deste trabalho foi verificar se gestão estratégia são determinantes para o desempenho dos fundos de investimento imobiliário (FII) no Brasil.  Este trabalho é descritivo, quantitativo, aplicado e se ampara em pesquisa bibliográfica e documental. Foi utilizado o modelo estatístico ANCOVA, que é uma mistura de regressores quantitativos e qualitativos. O levantamento dos dados para esta pesquisa contemplou o ano de 2019, período caracterizado por variação positiva na atividade econômica (PIB) do país, em 1,1%; (b) Valorização do Ibovespa, que representa o desempenho médio do mercado de ações, em 31,58%; e (c) Valorização do IFIX, que representa o desempenho médio das cotações dos fundos imobiliários, em 35,98%. O fator “gestão” não diferenciou os fundos mais rentáveis dos menos rentáveis o que contraria os resultados obtidos por Kaushik e Pennathur (2012), sendo que estes utilizaram dados de FII dos EUA.  Já a estratégia de “Renda” apresentou coeficiente diferencial, positivo e estatisticamente significativo, semelhante ao resultado obtido por Barreto (2016). Isto demonstrou que o fator “estratégia” diferencia fundos mais rentáveis dos menos rentáveis. Para estudos futuros, sugeriu-se a ampliação da amostra, com a adição de outros anos e a utilização do modelo estatístico no formato “painel”.
Gestão do Ativo Intangível na área governamental: Uma análise da produção científica em periódicos Nacionais e Internacionais
Authors: Ferrari Emerson Orsini , Filipetto Marta Raquel Zuchelli
Published: May 2023

O objetivo deste trabalho é identificar quais os apontamentos teóricos e práticas mais relevantes da produção científica em periódicos nacionais e internacionais pertinente à gestão do ativo intangível na área governamental. Realizou-se pesquisa quantitativa, descritiva e bibliográfica. A pesquisa bibliométrica foi realizada em periódicos online, sobre o tema gestão do ativo intangível e/ou capital intelectual em Municípios, Estados e Autarquias. Foram pesquisados artigos na base Scopus -Periódicos Capes, com a temática Gestão do Ativo Intangível no Setor Público e Gestão do Capital Intelectual no Setor Público. Obteve-se o retorno de 1.004 artigos utilizando as palavras: Gestão do Ativo Intangível no setor público e 2.840 Gestão do Capital Intelectual no setor público, os quais, após filtros aplicados a amostra, restaram 12 artigos a serem analisados a partir de análise descritiva. A maioria dos estudos concentra-se na gestão de capital realizado em instituições de ensino superior. Conclui-se que o estudo de gestão do ativo intangível na área governamental é incipiente e apresenta lacunas a serem aprofundadas.
Study on the Performance of Bitumen Waste Stone Column in Soil Stabilization
Authors: Mr. B. Balachandran  , R. Charusree  , P. Elamathi  , M. Sriniranjani
Published: May 2023

Stone Column is a technique for improving and stabilising weak soils such as soft clays, silts, and loose sands, allowing highway facilities, storage tanks, embankments, and bridge abutments to be built. We are utilising bituminous waste as an alternative material for coarse aggregate in the construction of stone columns to save expenditure by partially replacing coarse aggregate with bituminous waste. We're mixing bitumen waste and coarse aggregate, which have been passed through a 16 mm IS sieve and are being retained . Different mix proportions of coarse aggregate and bitumen waste for stone column samples represented as (X% aggregate + Y% bitumen waste) were tested such as (100%C), (70%C+30%B), (60%C+40%B), (50%C+50%B) and (100%B). Intermediate Plastic Clayey soil (CI) at OMC was used as the test sample in which stone column was installed. The CBR test was performed on the stone column with a diameter of 50 mm and depth of 100 mm installed in the compacted soil in CBR mould to determine CBR value and bearing capacity of samples. After that the results were compared with 100% coarse aggregate stone column sample (100%C).
Face Recognition Based Student Attendance System
Authors: Chinnadura. S  , Krishnkanth. S  , Rajkumar.V  , Sarathi. R  , Vignesh. S
Published: May 2023

The term 'biometrics' refers to a measurable characteristic that is unique to an individual such as fingerprints, facial structure, the iris or a person's voice. This project presents a face image based biometric system that records the attendance of a person by using a hand held face image biometrics. Attendance is a concept that exists in different places like institutions, organization’s, hospitals, etc. during the start and end of the day to mark a person’s presence. In early days and even now in many places attendance is recorded manually in attendance registers by calling out the names. This results in waste of time and human effort. Also there are many fraudulent issues that happen when we use a register. A student attendance system using face recognition and Grassmann classification is a biometric system that can automate the attendance taking process in a classroom setting. This system involves collecting a dataset of images of each student in the classroom and using face detection and alignment algorithms to detect and align the faces in each image. The Grassmann classification algorithm is then used to extract features from the images and classify them as belonging to a particular student. When a student enters the classroom, their face is captured by a camera and compared to the images in the dataset. If a match is found, the student is marked as present. This system has the potential to save time and increase accuracy in the attendance taking process. However, it also raises concerns about privacy and the security of the collected data. Proper safeguards must be put in place to ensure that the system is used ethically and responsibly
A Secure and Optimal Content Validation and Protection Scheme for Information Centric Networks
Authors: Prof. Aravinda Thejas Chandra  , Bommineni Lakshmi Ramya  , Dhanunjaya Reddy Sai Lavanya  , Bhoomika R  , Chethana S
Published: May 2023

Information-Centric Networking (ICN) is a new Internet infrastructure architecture that is primarily created to accommodate the user demand for content delivery using in-network caching. ICN is vulnerable in that attackers can introduce poisoned content into the network and isolate users from reliable content sources, even if it helps users access content and makes better use of network resources. This attack can be effectively stopped by implementing signature verification in each router, however doing so comes at a significant computational cost. From a single route standpoint, existing ICN techniques reduce verification overhead, but they do not take into account integrating resources for cooperative content authentication and cyber self-defense. From a single route standpoint, existing ICN techniques reduce verification overhead, but they do not take into account integrating resources for cooperative content authentication and cyber self-defense. In this paper, we propose the implementation of a multi-router collaborative security mechanism for ICN using a collaborative, safe, and effective content validation protection architecture called CSEVP. On the one hand, we perform content verification by probabilistically selecting a router that is a part of the transmission path in order to offload the computing burden of content verification from a single router to numerous ones
An Improved Estimation of Population Mean Using Auxiliary Attribute in Stratified
Sampling
Authors: A. A. Akintunde , O. M. Olayiwola , A.I. Adewole , O. T. Ojenike , M. M. Igbalajobi
Published: May 2023

Stratification improves the efficiency when the variance between strata is much larger than the variances within strata. An exponential estimator for stratified random sampling was proposed. Data sets on the amount of Apple production taken at three different occasions in Turkey in 1999 were used to validate the proposed estimator. The data sets were stratified by regions of Turkey and from each region; we randomly selected the samples by using the Neyman allocation method. Expressions for MSE of the proposed estimators were derived, up to first order of approximation. The suggested estimator families' bias and MSE equations were computed, the MSE for the proposed estimators is unbiased and efficient. The results of the theoretical comparison and numerical analysis shows that the suggested estimator outperformed the existing estimator. Moreover, the derived exponential estimator performed better than existing estimators for estimating population mean in stratified random sampling with an auxiliary attribute.
In-Vitro Antibacterial Assay of Annona muricata Hydroethanolic Extracts
Authors: U. C. Kanife  , A. M. Ebabhi  , G.O. Ovioma
Published: May 2023

Annona muricata (Soursop) plant is well known to be therapeutic due to its phytochemical constituents. The antibacterial outcome of the hydro-ethanolic extracts of Annona muricata leaves, root and stem bark were evaluated on standard strains of Staphylococcus aureus (ATCC 29213), Escherichia coli (ATCC 29522), Pseudomonas aeruginosa (ATCC 27853) and Enterococcus faecalis (ATCC 29212) using agar well diffusion method. The extracts inhibited the growth of Staphylococcus aureus, Escherichia coli, Enterococcus faecalis at varied concentrations. The root extract at 25.88±0.22 mm on E. coli was observed to have the highest zone of inhibition while the leaves extract at 11.67±6.01 mm on E. coli revealed the least zone of inhibition. The quantitative and qualitative phytochemical assay of the leaves, stem bark and root affirmed the presence of tannins, saponins, alkaloids, flavonoids, and carbohydrate in varying percentages. The highest quantity of flavonoids and saponin were observed in the stem bark respectively at 15.57 % and 131.49 % while the leaf samples showed highest quantity for alkaloids, tannin, and carbohydrate at 10.00 % 25.43 % and 11.26 % respectively. The presence of the phytochemical compounds in varying quantities may have contributed to the antibacterial activities of Annona muricata. The study further affirms the potency of A. muricata parts in pharmacognosy and therapeutic applications.
Serum Biochemistry and Enzymatic Biomaker of Gercacinid Crabs from Mangrove Swamp of the Lagos Lagoon, Nigeria
Authors: Moruf Rasheed O. , Abubakar Musa I. , Abubakar Fatima B.
Published: May 2023

Environmental factor is known to influence crab immune chemistry. This study presents the haemato-biochemical parameters and enzymatic biomarker of gercacinid crabs (Cardisoma guanhumi and Cardisoma armatum) from mangrove swamp of the Lagos Lagoon using standard procedure. The haemocyte subpopulations were higher in C. guanhumi than the percentage obtained in C. armatum with no significant difference (P > 0.05). Significantly, higher range values of aspartate aminotransferase (12.03±0.35 µi-1), alanine aminotransferase (10.07±0.58 µi-1), alkaline phosphatase (89.94±3.38 µi-1), lactate dehydrogenase (124.86±0.70 µi-1) and urea (33.90±2.00 mg dL-1) were recorded in C. guanhumi. Examined samples of gercacinid crabs showed significant difference only in malondialdehyde (among the enzymatic biomarkers) with mean values of 6.32±0.05 Hmol/mg pro and 9.36±0.27 Hmol/mg pro for C. guhanhumi and C. armatum respectively. The haemato-biochemical parameters of the gercacinid from the studied location varied across species.
Potencialidade infante no cinema nacional: discursos e produções de corpos e espaços na contemporaneidade
Authors: Freisleben Jéssica Maria , Da Silva Rafael Lesses , Schneider Daniela da Cruz
Published: May 2023

Esta escrita visa destacar a potencialidade infante, compreendida aqui como sendo aquilo que pode vir a ser, associada à infância - tempo/momento/terreno de possibilidades múltiplas e livres de preconceitos, em produções de curtas-metragens nacionais que exploram e apresentam diferentes representações de infâncias na contemporaneidade, para pensar a educação. Tem-se como problemática: o que essas infâncias têm ainda a nos dizer? O que esses corpos infantes da contemporaneidade ainda instigam e convidam a pensar a educação? A pesquisa se faz e refaz em meio a retalhos discursivos, imagens, falas, narrativas e intervalos, potências que geram reflexões, movimentam o pensamento diante de relações possibilitadas pela metodologia da bricolagem. Os resultados gerados apontam para uma (re)elaboração que se faz não somente na escrita de um trabalho final de Curso de Especialização, mas também na experiência corpórea tramadas a temática pretendida.
As relações étnico-raciais no contexto da educação infantil: uma análise do congresso da associação brasileira de pesquisadoras/es negras/os – COPENE
Authors: Santos Sarita Faustino dos , Marchiori Alexandre Freitas , Mello André da Silva
Published: May 2023

Este artigo analisa as relações étnico-raciais no contexto da Educação Infantil por meio dos Anais do Congresso de Pesquisadoras/es Negras e Negros (COPENE) no período de 2000 a 2020, abarcando todas as onze edições do evento. Trata-se de uma pesquisa bibliográfica, do tipo Estado do Conhecimento, que encontrou 77 trabalhos que dialogam com a temática das relações étnico-raciais na E I. Com base na análise de conteúdo, os dados foram organizados em seis temáticas: práticas pedagógicas, escuta das crianças, formação continuada, legislação, literatura e representações docentes. Os resultados indicam a importância da construção de uma Educação Infantil pautada no respeito às diferenças culturais e étnico-raciais, a necessidade de se romper com um currículo eurocentrado e a valorização das vozes das crianças.
“Ballem el joc perdut”, la multiculturalidad en la Educación Infantil: Proyecto de intervención para la atención de la diversidad cultural
Authors: González-André Maria del Carmen , Braz Vieira Marcelo
Published: May 2023

El presente estudio presenta reflexiones a partir de la realización de un proyecto de intervención educativa en un contexto de educación infantil en escuelas catalanas (España) desarrollado con la intención de planificar e implementar acciones para mejorar la atención a la diversidad plurilingüe y multicultural. Para ello, se utilizaron como herramienta de intervención acciones basadas en la expresión corporal, la danza y los juegos musicales dentro de las sesiones de psicomotricidad. El proyecto, realizado durante nueve cursos académicos (2010-2011 / 2018-2019), contribuye con propuestas que facilitan experiencias cotidianas en el contexto escolar (relación entre docentes y niños y relaciones entre los propios niños) y en el contexto comunitario (relación familia y escuela).
Concepções e práticas pedagógicas de professoras de educação infantil diante da educação para as relações étnico-raciais
Authors: De Souza Almeida Santana Crisley , Da Silva Cunha Nogueira Ione
Published: May 2023

O racismo e outras formas de preconceito, baseadas em cor da pele e outras características fenotípicas, estão arraigados na história do povo brasileiro, por isso, para almejar a mudança do cenário atual é preciso adotar práticas referenciadas, problematizadas e contextualizadas para que tenham efeito. É possível afirmar que somente as leis e decretos não alteram a realidade, sendo necessário proporcionar meios para que se legitimem no cotidiano. Este artigo traz a descrição de uma pesquisa de campo realizada no ano de 2020 que teve como objetivo de identificar nos discursos de professoras da educação infantil, de que maneira a educação das relações étnico-raciais tem sido desenvolvida em suas práticas. Nesta perspectiva a pesquisa foi realizada no município de Santa Mercedes no interior do Estado de São Paulo, em uma escola de educação básica que atende também a educação infantil, mas apenas com as professoras de crianças entre quatro e cinco anos de idade (Pré I e Pré II). O estudo possibilitou compreender que as concepções presentes na legislação não são plenamente alcançadas na educação infantil. Para se proporcionar uma educação antirracista, é preciso que haja cada vez mais investimento em formação de professores, inicial e continuada, aquisição de materiais e escuta sensível das crianças.
Identidade racial e percepção do valor social dos grupos pelas crianças: uma análise em termos de desenvolvimento
Authors: Moreira-Primo Ueliton Santos , França Dalila Xavier de
Published: May 2023

Este estudo analisa os efeitos da cor da pele e da idade na identidade racial e na percepção do valor social do negro e do branco em crianças brasileiras. A identidade racial foi examinada por meio da avaliação emocional, associada ao pertencimento racial da criança, e a percepção do valor social dos grupos por meio do quanto as crianças avaliam que as outras pessoas gostam dos negros e dos brancos. Participaram no estudo 136 crianças brancas, pardas e pretas, com idades variando dos 6 aos 11 anos e residentes em duas cidades do Nordeste brasileiro. Os principais resultados indicam que as crianças pardas e as crianças pretas de 6 e de 7 anos são as que menos gostam de ser negras e as que mais preferiam pertencer ao grupo dos brancos; enquanto as crianças brancas, em todas as idades, gostam de ser brancas e preferem pertencer ao seu próprio grupo racial. No que se refere à percepção do valor social, os resultados mostram que crianças brancas, pardas e pretas, de forma indiferenciada, entre as idades de 6 a 11 anos, avaliam que o grupo branco é o mais valorizado socialmente. Os resultados são analisados e discutidos à luz da teoria da identidade social e do racismo na infância.
Infâncias, experiências e os sentidos de ser criança negra na educação infantil
Authors: Da Silva Alex Sander , Furlan Marta Regina
Published: May 2023

Um problema a ser enfrentado para se falar em educação infantil consiste na recusa em tratar um conceito único e restrito de infância e o de ser criança. O desafio que se apresenta nesse nível de ensino, se configura em identificar e promover concepções de infâncias, experiências e sentidos de ser crianças de forma plural e diversificada. Este propósito pode ser entendido na medida em que o pensar e o agir pedagógicos na educação infantil forem compreendidos e mediados por tensões étnico-raciais subjacentes do racismo estrutural que permeiam as relações educacionais. Nesse aspecto pretende-se aqui fazer uma reflexão sobre três temas, inicialmente distintos, mas que em algum momento se entrecruzam. A tentativa é apontar um recorte breve sobre cada assunto e tecer uma reflexão sobre a forma como esses podem ser tratados no campo educacional. O propósito diz respeito a compreender os sentidos de ser criança negra na educação infantil e os desafios na construção de uma educação antirracista nesse nível de ensino.
Assessment of the abuse of tapentadol immediate release: The first 24 months
Authors: C. Dart, MD, PhD Richard
Published: May 2023

Objective: Prescription opioid analgesics play an important role in the management of moderate to severe pain. An unintended consequence of prescribing opioid analgesics is the abuse and diversion of these medications. The authors estimated abuse and diversion rates for tapentadol immediate release (IR) compared with oxycodone, hydrocodone, and tramadol during the first 24 months of tapentadol IR availability. Methods: The Researched Abuse, Diversion and Addiction-Related Surveillance (RADARS®) System measures rates of prescription opioid abuse and diversion throughout the United States. Quarterly data from the Poison Center, Drug Diversion, Opioid Treatment, and Survey of Key Informants’ Patients (SKIP) programs were plotted to visually compare the rates of tapentadol IR abuse and diversion with those of other opioid analgesics from July 2009 through June 2011 using both cases per 100,000 population and per 1,000 unique recipients of dispensed drug (URDD) as denominators. Trends in abuse and diversion rates over time were determined using a linear regression model of rate versus time. Results: During the 24 months following its introduction, tapentadol IR had very low population-based rates of abuse and diversion that were similar to rates for tramadol and lower than rates for oxycodone and hydrocodone. Rates of tapentadol IR abuse and diversion based on URDD were variable by program due to changes in market share and had not stabilized as of June 2011. Conclusions: Rates of tapentadol IR abuse and diversion have been low during the first 24 months after its launch. Continued monitoring of trends in these data is warranted.Keywords: tapentadol, opioid, abuse, diversion, RADARSDOI:10.5055/jom.2012.0139