bluuebunny/crossref_metadata_2025 huggingface dataset:
Variation in Student Achievement: Effects of NCLB on Standards-based Accountability in Arizona
Authors: Thakur Avinash , Yates Nicole
Published: April 2023

Over the years, the United States government has assumed a larger role in educational policy. The No Child Left Behind Act (NCLB) is one of the most notable examples of an increase in federal involvement in education. Through the creation of accountability systems, NCLB required states to test in reading and mathematics. Prior research has maintained that states with pre-existing test-based accountability remained relatively unchanged by the passage of the Act. States without test-based accountability measures pre-NCLB may have been more likely to be affected by its implementation (e.g., Arizona). In order to test this claim, I examined student achievement in Arizona pre-, during, and post-NCLB under AZ LEARNS and the A-F Accountability System over certain years (1996, 2000, 2005, 2009, and 2015). Through the use of data from the Nation’s Report Card and the Arizona Department of Education, I sought to answer two key questions: (1) How do Arizona’s achievement scores pre-, during, and post-NCLB compare to other accountability types? and (2) In what way do Arizona school ratings vary during and after NCLB? By conducting a series of independent sample t-tests, I compared Arizona’s state scale scores to states with moderate accountability, and I compared school ratings under the accountability systems. These analyses reject the null hypothesis that there is no significant difference associated with school ratings under the two accountability systems, therefore supporting the prior stated claim. The results offer insight into Arizona’s accountability and are valuable for future evidence-based policymaking.
A Sentiment Analysis on Roe v. Wade Twitter Data
Authors: Park Hyewon , Richardson Monika
Published: April 2023

In May of 2022, the US Supreme Court case Dobbs v. Jackson Women’s Health Organization threatened to and did overturn Roe v. Wade, the historic 1973 Supreme Court case that created prenatal healthcare guidelines, including specifications for regulation of abortion. This work aims to investigate tweets on Roe v. Wade during a period of interest through posts on Twitter to provide an understanding of general public opinion. This was done primarily by running sentiment analysis on a dataset of 35,999 tweets from May 1st, 2022 to July 8th, 2022 from the #RoeVWade, separating them into negative, positive, and neutral sentiments, then finding collocations and often used hashtags in each category. Although the sentiment analysis model used classified sentiment rather than “pro-choice” versus “pro-life,” negative and neutral tweets were more likely to use phrases associated with “pro-choice” beliefs. In contrast, positive tweets often used hashtags aligned with Republican or conservative views.
Building and Interpreting Clausal Possession in Isbukun Bunun
Authors: Chen Hung-Chi , Lin Kuo-Chiao
Published: April 2023

This paper shows that clausal possession in Isbukun Bunun, a Formosan language, involves two distinct structures with one single thematic interpretation. Although thematically identical, the two distinct structures are not derived via agreement/movement from a single underlying structure. To best capture the (morpho)syntactic patterns within and beyond the phenomenon, the too-many-structures problem is best analyzed as involving distinct underlying structures with syntactic heads that are semantically null, and delayed saturation of thematic relations at the (morpho)syntax-semantics interface.
Automatically Labeling Offensive Formations in American Football Film Using Deep Learning
Authors: Zhou Kyle , Galbraith Jason
Published: April 2023

Web services for storing, annotating, and sharing sports videos by high-school athletic teams have become more prevalent in recent years. However, most services lack the ability for coaches to automatically tag film, leading to many hours of manual annotation. For American football videos, coaches need to label formations, plays, and field positions in order to extract insights and create strategic game plans. This paper presents an end-to-end machine learning pipeline for automatically labeling American football offensive formations in videos. The pipeline includes pre-processing of videos, image classification, and a novel inference approach. The study compares a custom CNN model with pre-trained image classifier models using transfer learning. Specifically, CNN-based architectures (MobileNet, Inception, EfficientNet, etc.) and a transformer-based Vision Transformer (ViT) are compared. All models are trained on ~1400 images with the three most popular formation labels extracted from video clips of high-school football team games. The results show that several models, including the custom CNN model, achieved greater than 90% classification accuracy on the test dataset. The inference is performed by sampling multiple frames from a video clip, passing them through a trained image classifier, and taking a majority vote on the classification results to determine the final outcome. Our study found that using a sampling rate of 0.5 seconds, starting at 1 second, and taking five frames yields the highest inference accuracy of 95.4% using a trained customized CNN model. This system can assist all levels of football coaches in the analysis of game footage and formation identification.
Using Satellite Nighttime Light to Measure Socio-Economic Activity in Africa Before and After COVID
Authors: Lin Taohan , Rybnikova Nataliya
Published: April 2023

Using satellite nighttime light (NTL) data as a proxy to measure socio-economic activity in normal times has been well-established in the remote sensing literature. In the recent years, the NTL composites produced by the Visible Infrared Imaging Radiometer Suite (VIIRS) revealed a dimming of light in major cities during the COVID pandemic in large countries like China, India, and U.S. To test whether NTL remained a valid proxy of economic and human activity during upheaval times at the country level, this paper examined the association between NTL and GDP, CO2 emissions, and electricity consumption in all countries in Africa in the period of 2014-2021. The results indicated that NTL is associated with these three socio-economic indicators in a significant manner before and after the COVID pandemic. The model demonstrated high performance of NTL as a proxy for GDP and CO2 emissions in both periods while less so for electricity consumption (with R2=0.53, 0.48, 0.36, respectively, during pre-COVID period of 2014-19; and with R2=0.49, 0.45, 0.26, respectively, for 2014-2021 with COVID dummies). As NTL data are free and available at granular spatial and temporal levels for most areas on Earth with just a short time lag, the methodology offered an alternative to consistently measure economic and human activities and impact on the environment during normal times and after external shocks. This has the potential to fill data gaps, including for countries with weak capacity, and aid policy making to support sustainable green growth and provide information swiftly for post-disaster recovery.
Second Wave Feminism and its Systemic Racism: What the Educational System Does Not Explain
Authors: Reicher Maeve
Published: April 2023

The modern secondary school curriculum teaching 20th century women’s history, the first and second feminist waves, has been designed circularly hegemonic, and for decades following the advancement of academic fields such as radcial feminism, gender studies, and intersectionality, this current cirrculam has neglected the work of multi-racial feminist groups as well as the dangers of the race-sex analogy. This paper focuses on drawing awareness to the systemic exclusion women faced, the contributions of non-white feminist groups, and how such divisions limited all woman from achieving their goals of equality, recognition, and justice as well as possible conclusions to why the educational field has narrowed perspectuves for secondary school teaching. by using a comparative apprach to his essay, the paper was conducted from researching the corrospondence, legal documents, and recordings of these respective non-white organizations housed in the Schlesinger Library archive at the Radcliff Institude for Advanced Study.
Identification of Target Proteins for Promoting Nuclear Envelope Rupture in Cancer Cells
Authors: Won Donghyun , Jin Hyunwoo , Kwon Serom , Kim Joon
Published: April 2023

The nuclear envelope separates and protects DNA from the cytoplasm. In cancer cells, frequent nuclear morphological abnormalities and transient rupture of the nuclear membrane promote DNA damage and cancer malignancy. However, nuclear envelope instability, acting as a tumor-promotion factor, can be viewed as a fatal weakness of cancer cells. Although the exact mechanism is not clear, it is known that the loss of the tumor suppressor gene TP53 is involved in nuclear envelope instability in cancer cells. In this study, we demonstrate that the inhibition of NUP93, which is a subunit of the nuclear pore complex, induces cell death by enhancing nuclear envelope instability. The RNA interference (RNAi) inhibiting NUP93 expression in the human cell line RPE1 caused nuclear envelope rupture, and DNA damage, leading to cell death. Under the condition in which the tumor suppressor gene TP53 was simultaneously suppressed with NUP93, nuclear envelope rupture and DNA damage were significantly increased. Conversely, cell death was slightly decreased. The decrease in cell death may be ascribed to the fact that TP53 is involved in the induction of apoptosis by DNA damage. We speculate that amplification of nuclear envelope instability may induce cancer cell-specific synthetic lethality in the context of TP53-independent nuclear envelope instability. Moreover, our results suggest that nuclear pore proteins can be promising targets for the development of synthetic lethal anticancer drugs.
Singapore’s Grassroots Environmental Movement: Modes of Representation in the Garden City
Authors: Prasetya Chloe , Falzon Danielle
Published: April 2023

Singapore’s model of illiberal democracy has translated into a style of environmental governance that scholars describe as ‘authoritarian environmentalism’ (AE) for its top-down, non-participatory nature. AE in Singapore has given rise to a manicured, cosmeticized landscape in which nature is selectively integrated into urbanity to offer outside observers the impression of a ‘Garden City’.

A gap in the literature exists regarding the response the grassroots environmental movement in Singapore has mounted to AE. This paper contends that the movement seeks to restore individuals’ personal connections to the land, both in its undamaged state and current degradation, in a bid to appreciate nature from whichever baseline one can remember. As a guiding structure, the paper references a framework developed by sociologist Kate O’Neill and identifies local examples of the variables ‘formal representation’ and ‘informal channels’. The former variable refers to movement participation in formal negotiations and policymaking. The latter variable describes solidarity-building with the aim of cultivating an organic, just transition to a green Singapore

This paper argues that Singapore’s illiberal mode of governance limits the environmental movement’s access to channels of formal representation, compelling it to rely heavily on informal representation to achieve environmental change. This paper recommends a hybrid model of formal and informal representation as key to the success of the movement. For its emphasis on the influence of a country’s political context on its present-day environmental governance, this paper has utility as a reference point for other developmental states which exhibit interventionist, utilitarian policymaking.
Cutting-Edge Advancements in EIS Technologies for Rapid Detection of Pathogenic Bacteria in Water
Authors: You Evan , Sarmadi Morteza , Sangree Carl
Published: April 2023

The emerging research surrounding biosensors has seen an unprecedented rise in recent years: from innovative methods of exploiting the bio-recognition event to groundbreaking first-generation designs, work around biosensors is playing a more substantial role in all facets of modern biotechnology. This mini-review explores a type of biosensor that analyzes bio-recognition events through a technique known as electrochemical impedance spectroscopy (EIS). The EIS technique belongs to the electrochemical class of biosensors and is used to examine analyte-electrode interactions through the transfer of electrons. While the technique has proved effective in detecting several virulent bacteria, this review will primarily focus on E. coli O157:H7, L.monocytogenes, and S. Typhimurium. These three pathogens are all highly contagious and capable of causing severe infections and thus must be carefully managed in essential resources such as water. Though existing methods are effective, there are ways EIS biosensing can be further enhanced in terms of accuracy and precision. At the end of the manuscript, we further overview the state-of-the-art challenges and opportunities in EIS.
How can coaches and players tell the outcome of a pitch in a baseball game based on observed data?
Authors: Kulkarni Aarushi
Published: April 2023

Machine learning and the development of artificial intelligence continues to grow at a rapid pace with the age of technology and computer science jobs growing in demand. With this development the use of predictive technology becomes more realistic to make systems more efficient. For example, in the future of the medical field, a software program may diagnose patients given an input of symptoms and previous health issues more effectively than even humans can.

Sports are an area with vast possibilities of outcomes, meaning a lot of predictions to be made in all sorts of sports. Humans don’t have the analytical ability to examine every aspect of each player to predict the next situation in a sports game. For example in baseball and softball, there are thousands of possible scenarios that can occur from a singular pitch. 

How can coaches and players tell the outcome of a pitch based on observed data?

A simple machine learning predictive model using a technique called gradient descent takes features and examples as input in order to predict one of a couple possible outcomes for a specific pitch with its various features. Results show that upon running such programs numerous times with different iterations the model actually grows stronger in accuracy.
The Influence of Thrombocytopenia in Covid-19 Patients on Dengue Hemorrhagic Fever Cases
Authors: Lia Kadek , Setiani Onny , Adi M Sakundarno
Published: April 2023

The increasing cases of Dengue Hemorrhagic Fever in all regions of Indonesia are a disease transmitted through a vector amid the ongoing COVID-19 Pandemic, which can seriously threaten public health. This study aims to analyze the relationship between thrombocytopenia in patients with COVID-19 and cases of dengue hemorrhagic fever. This research was conducted from February to March 2022. The tools used in this study were the Abbot Cell-Dyn Ruby Hematology Autoanalyzer and questionnaires as well as PCR secondary data. Anas used Pearson's Correlation Test statistic and used a cross-sectional study design with 389 respondents who came to check blood at the laboratory. Based on the data obtained, 128 respondents had thrombocytopenia (32.9%) diagnosed with Dengue Hemorrhagic Fever, and as many as 70 out of 128 respondents had been exposed to COVID-19 (54.7%). The analysis results show a relationship between the influence of thrombocytopenia in patients with COVID-19 and cases of Dengue Hemorrhagic Fever. It is necessary to improve anamnesis in patients suspected of Dengue Hemorrhagic Fever, it is hoped that they will carry out investigations related to previous exposure to COVID-19, so that they can provide, fast, precise and accurate treatment and treatment.
Analysis of the Presence of Anopheles Larvae in the City Areas in DKI Jakarta on the Risk of Indigenous Malaria Cases in 2022
Authors: Magdalena Sinthania Karunia , Rahardjo Mursid , Sulistiyani
Published: April 2023

Malaria is one of the diseases that until now is still a special concern for tropical countries such as Indonesia. Prevention of non-indigenous malaria transmission has recently become a priority for the Indonesian government's program to minimize the incidence. This study aims to analyze the presence of anopheles larvae in city areas in DKI Jakarta province which have the potential to be at risk of causing the emergence of indigenous malaria cases in 2022 by observational survey methods and strengthened by literature studies. The results were obtained by discovering anopheles in such “empang” in Marunda Village, Cilincing, North Jakarta, which is adjacent to the Navy Special Forces Command Headquarters dormitory. This is very potential for malaria to spread considering the mobility of troops who often go in and out of endemic areas both at home and abroad. Thus, it is necessary to improve coordination and cooperation between various stakeholders, especially the Province Health Department, the Navy Health Service, or other related agencies.
Space-time analysis of theft from persons in Pereira (2019-2021). An approach to the theory of environmental munificence for crime
Authors:   Universidad de los Andes, Bogotá, D. C., Colombia, Jiménez-García Williams Gilberto , Rentería-Ramos Rafael ,   Universidad Nacional Abierta y a Distancia, Bogotá, D. C., Colombia, Toro-Soto Yeison David ,   Policía Nacional de Colombia, Bogotá, D. C., Colombia
Published: April 2023

The COVID-19 contingency gave rise to multiple social interactions for which neither governments nor citizens were prepared. The restrictive measures on mobility imposed by the National Government produced a series of changes not only in social dynamics and legal transactions, but also in the criminal context. The purpose of this study is to understand the space-time behavior of theft in the metropolitan area of Pereira, Colombia, and to compare this behavior observed under normal conditions and in times of pandemic. Data were obtained by consulting the Siedco application for the city studied in the 2019-2021 time window. The spatial analysis was performed using the technique known as pattern identification for space-time event networks (Ipree). The empirical evidence observed allows us to conclude that there is a space-time configuration that defines the dynamics of thefts in the city of Pereira and these patterns can be explained from the theory of environmental munificence for crime.
Rain detection and removal from slowly varying background videos
Authors: Prusty Pankaj , Mohanty Bibhu Prasad
Published: April 2023

Rain in bad weather becomes very challenging issue for automated driver assistance systems, security applications and many other computer vision algorithms. Number of rain removal algorithms have been proposed in these years but none of them has been able to increase the accuracy to large extent. In this paper a novel algorithm has been proposed where the slowly varying back ground scenes are taken for analysis. One part of the algorithm is based on the detection of rain pixels and the other part is removing them such that the original image must not lose its originality. Initially one background is modelled by taking the intensities of neighbourhoods of pixels. Then rain is detected by comparing each pixel with the modelled back ground followed by updating the background. The detected rain pixels are repaired with the help of some temporal neighbours. The results are promising to prove the work.
Optimized CFPID controller for SCiWOA in allocated grid
Authors: Nayak Smrutiranjan , Kar Sanjeeb Kumar , Dash Subhransu Sekhar
Published: April 2023

In persistently expanding region and construction of current power system having trouble request vulnerabilities, the utilization of proficient and lively recurrence power methodology is fundamental for palatable working of Power-System. In this examination, a CFPID regulator is recommended for regularity management of Power-System. To upgrade the regulator boundaries, a Sine Cosine enhanced Whale-Optimization-Algorithm is used. It’s first benefits of the SCiWOA changed CFPID regulator over hPSO-PS changed Fuzzy-PI regulator, hybrid-BFOA PSO changed PI regulator, GA changed PI regulator, BFOA changed PI regulator, Jaya Algorithm (JA) changed PIDN (PID with filter) regulator & TLBO changed PID regulator are exhibited for 2-region non warm nuclear energy network. The 2nd benefits of the Sine-Cosine-iWOA changed CFPID regulator on top of Artificial Bee Colony changed PID regulator, SOSA (Symbiotic Organism Search Algorithm) changed PID regulator and FA changed PID regulator are shown for two region warm nuclear energy network. Here SCiWOA based Combined-FPID regulator is too powerful in regulating the repeat respective with PID controller.
O LIKOVNOJ MONOGRAFIJI SALIM OBRALIĆ PROF. DR. AIDE ABADŽIĆ-HODŽIĆ I PROF. DR. IBRAHIMA KRZOVIĆA / ABOUT THE ART MONOGRAPH SALIM OBRALIĆ BY PROF. DR. AIDA ABADŽIĆ-HODŽIĆ AND PROF. DR. IBRAHIM KRZOVIĆ
Authors: Neimarlija Lamija
Published: April 2023

The text is a review of the art monograph Salim Obralić authored by Prof. Dr. Aida Abadžić-Hodžić and Prof. Dr. Ibrahim Krzović, published by the Bosniak Institute – Adil Zulfikarpašić Foundation, Sarajevo, 2022.
PSIHOLOGIJA VJEROVANJA U TEORIJE ZAVJERE / PSYCHOLOGY OF CONSPIRACY BELIEFS
Authors: Jusić Mersiha
Published: April 2023

Conspiracy theories have always existed, and (some) people have always believed in them. However, due to the expansion of contemporary media and information technologies, as well as social networks becoming primary platforms of information, the issue of how conspiracy beliefs affect daily lives has become popular again. Current societal, political and health crises have sparked global research interest in the topic. Especially during the COVID-19 pandemic, it has become obvious how significant these beliefs are in determining health behavior and adhering to preventive anti-epidemic measures. Therefore, it is of immense importance, both theoretical and practical, to approach the characteristics of this phenomenon scientifically. This article analyzes psychological and social factors of conspiracy beliefs. Through the prism of epistemic, existential and social needs, the article tries to explain what pushes individuals toward the conspiracy theories. It also discusses individual and personality differences as the underpinning basis for susceptibility to conspiracy beliefs. A special focus is put on universal principles of cognitive functioning that boost conspiracy beliefs (confirmation bias, saving cognitive resources, cognitive closure, effect of illusory truth, etc.) Considering their exceptional societal importance, the author puts a special focus on the effects of conspiracy theories on health relevant behavior during the COVID-19 pandemic. Despite the lack of a clear theoretical framework in this recently emerging research field, the author reflects on existing and potential prevention and intervention tools belonging to social-psychological, health and communication strategies. The importance of the media and information literacy as a means to improve resilience to misinformation is also discussed.
Assessment of Air Quality Around Heavy Traffic Zone in Hyderabad
Authors: G. Thanusree  , M. Vijay kiran  , A. Manideep Reddy  , Dr. R. Premsudha  , Keesagani Aakanksha  , G. Karthik Reddy
Published: April 2023

Recently the intensity and magnitude of air pollutant concentration has grown up rapidly in the troposphere. The air pollution is primarily associated with automobiles and industrial sources Hyderabad, capital of Telangana, is a center of southern part of India for both industrial and commercial activity. It is one of the most populous urban areas with approximately 6.8 million inhabitants and over 73,000 small, medium and major industrial establishments sharing the greater city. Air pollution in India is monitored by the Central Pollution Control Board (CPCB) together with the State Pollution Control Boards (SPCBs) and the National Environmental Engineering Research Institute (NEERI) in Nagpur. The National Air Quality Monitoring Programme (NAMP) was started in 1984 with 7 sensor stations, 248 towns and cities have the air quality network of 591 Air Quality Monitoring Stations upto 2015, it is reported that in India 2022 added 180 manual air quality monitoring stations, increasing their number to 883 to achieve the target of 1,500 by 2024. For our study due to practical difficulties to collect, analysis the air quality, pollutants data has been collected from CPCB .The dataset contains City, Date, PM2.5, PM10, NO, NO2, NOx, NH3, CO, SO2, O3, Benzene, Toulene, Xylene, Air Quality Index (AQI). Hyderabad was divided into 6 zones, air quality monitoring sensors is located at 14 places in and around six zones. For our study we selected 5 stations based heavy traffic area to analyse the maximum concentration of pollutants such as PM2.5, PM10, NO2, NO3, SO2, CO, for the period of three months ( Dec 2022,Jan, Feb 2023).It was observed at site 1 to site 3 PM2.5,range 183.7 – 163.26µg/m3 is very poor as per AQI, PM10 range 151.11 to 137.76 µg/m3 is moderately polluted as per AQI, NO2 range 61.03 to 76.4 µg/m3 is satisfied as per AQI, NO3 range 1.196 to 7.96 is good, SO2 is 6.34 to 55.83 µg/m3 is satisfied ,CO 70.35 to 71.97 is severe as per AQI, continuous air quality monitoring is necessary to protect environment and human health
IoT Based Animal Health Monitoring System using Raspberry Pi
Authors: J Aparna Priya  , J Aparna Priya  , S Amrita  , Kusumasree
Published: April 2023

IoT has bought many changes in the existing technologies, where its applications are numerous in the field of industry automation, bio-medical, agriculture, transport, smart cities etc. The key benefits of IoT enabled livestock management in real time is enabling farmers to quickly treat animals and prevent the spread of illness or disease, track gazing animals to prevent loss and to identify grazing patterns, gather and analyze historical data to identify trends in cattle health or to track the spread of illness, monitor readiness to give birth , preventing the loss of new calves and optimizing breeding practices. In this paper a smart animal health monitoring system is developed for monitoring the parameters such as body temperature, heart rate and rumination pattern has been monitored. Different kind of sensors are mounted on the body of animals and related information is gathered which can be accessed by the authorized person through internet. Raspberry Pi is used in this work, where different information is gathered from the sensors and placed on to the cloud so that the information can be accessed from the mobile using internet.
Stock Price Prediction using Technical Analysis
Authors: Swati Khatri  , Ankita Kasab  , Shivani Dahake  , Namrata Hiwale
Published: April 2023

Investors must have access to timely, accurate information in order to trade stocks effectively. Since many companies are traded on a stock exchange, a variety of factors affect the choice. In addition, it is difficult to foresee how stock prices will behave. The technique of predicting stock prices is crucial and difficult for the reasons mentioned above. Finding the predictive model with the lowest error rate and highest accuracy thus becomes a study topic. This work is our suggestion for solving the issue. In this work, we develop a model based on technical analysis which used Long Short-Term Memory (LSTM) algorithm to forecast the stock price of a company for the next 30 days. We collect historical stock data from the Yahoo Finance API using the yfinance library in Python and preprocess it using MinMaxScaler. In addition to the model development, we have created a web application. This application allows users to input the stock symbol of a company and get the predicted stock price for the next 30 days. The predicted values are displayed using a line chart, which provides users with a visual representation of the predicted stock price. Overall, this work provides an effective and accurate way of predicting the stock value of a company, which can be beneficial for investors in making informed decisions. The web application provides a user-friendly interface, making it easily accessible to anyone interested in predicting the stock price of a company
Automation of HR Interview using Deep Learning and NLP
Authors: Dr. Vijay G R  , Manisha C  , Mounika D M  , Navyashree A G  , Nayana K
Published: April 2023

The face of HR nowadays is frequently a portal rather than a specific individual. Nowadays, almost all businesses make HR services available to everyone online and through technology. Apps, which have significantly altered the way human resource management is done. These changes frequently emerge from the need to reduce expenses while increasing or improving services. Recent study demonstrates that organizations that successfully embrace sophisticated HR technology tools perform better than those that do not. Simple HR process automation no longer ensures a competitive advantage because organizations have already automated basic HR administration. Instead, businesses must figure out how to use technology to update their HR procedures and promote their HR brand
Intelligent Personal Health Record Systems
Authors: Payal Prajapati  , Prachi Sinvhagade  , Prachi Ashtankar  , Vaidehi Muley
Published: April 2023

Personal health record (PHR) systems are a constantly evolving area in the field of health information technology which motivates an ongoing research towards their evaluation in several different aspects. In this direction, we present an evaluation study on PHR systems that provides an insight on their current status with regard to functional and technical capabilities and we present our extensions to a specific PHR system. Essentially, we provide a requirement analysis that formulates our composite evaluation model which we use to perform a systems review on numerous available solutions. Then, we present our development efforts towards an intelligent PHR system
Intelligent Companion APP
Authors: Prof. Manoj Deshpande  , Gourab Chakraborty  , Tejal Bhagat  , Gayatri Padile  , Ritesh Yadav
Published: April 2023

Virtual assistants are a boon for everyone in this new era of the 21st century. It has paved the way for a new technology where we can ask questions to machines and can interact with IVAs as people do with humans. This new technology attracted almost the whole world in many ways like smart phones, laptops, computers etc. Some of the significant VPs are like Siri, Google Assistant, Cortana, and Alexa. Voice recognition, contextual understanding and human interaction are the issues which are not solved yet in these IVAs. According to those results many services were covered by these assistants but still there are some improvements required in voice recognition, contextual understanding and hand free interaction. After addressing these improvements in IVAs will definitely increase its use is the main goal for this research paper.
VLSI Design of Approximate Baugh-Wooley Multiplier for Image Edge Computing
Authors: Gayathri R  , Ajith Kumar A  , Balaji P  , Magesh P  , Sridhar V
Published: April 2023

A sort of digital circuit used to multiply two binary values is called a Baugh-Wooley multiplier. It is renowned for being more effective than other kinds of multipliers in terms of speed and gate count. You would normally start by creating a simple version of the circuit utilizing logic gates like AND gates, XOR gates, and half adders to simulate the Baugh-Wooley multiplier. The design would then be optimized utilizing methods like parallel processing, pipelining, and optimization algorithms to lower the overall gate count and boost the functionality of the circuit. Because of this, estimating a Baugh-Wooley multiplier would require a thorough knowledge of these elements as well as the specifications of the application. Verilog HDL is used to implement this design, and Modelsim 6.4 c is used to simulate it. The synthesis process tool from Xilinx measures performance.
Real Time Indian Sign Language Detection System
Authors: Nikhil Salvi  , Qureshi Zaid  , Nikhil Bhodke  , Prof. Sanjay Jadhav
Published: April 2023

Sign language, as a different form of the communication language, is important to large groups of people in society. There are different signs in each sign language with variability in hand shape, motion profile, and position of the hand, face, and body parts contributing to each sign. A challenging area of computer vision research is the recognition of visual sign languages. In recent years, deep learning techniques have significantly improved the many models that have been suggested by various academics. We examine the deep learning-based vision-based models for sign language recognition. An important advancement in enhancing communication between the deaf and the overall populace is a real-time sign language detector. We are glad to present the development and application of a model for recognizing sign language based on a Convolutional neural network (CNN). We utilized a pre-trained SSD mobile net V2 architecture trained on our own dataset in Order to apply transfer learning to the task
Review of Warehouse Management System
Authors: Shreyas Gawande  , Ruchita Agrawal  , Rutuja Ingole  , Prathamesh Akotkar  , A. K. Shahade
Published: April 2023

In warehouse management, modern companies and distribution center are overflowing with information about the transportation and storage of goods and services. Warehouse Management systems (WMS) are often used and fulfil these goals. Current work examines the program as a useful tool for finding and using a WMS. In addition, a research methodology is provided to guide upcoming research on WMS and logistics information (LIS) in general. Meanwhile, inventory management is, in general, the study of determining the structure and location of items in stock. It goes beyond the normal and deliberate manufacture and packaging of goods at different locations on the ground or at different locations in the community. It contributes to Warehouse as we see the latest technology evolve in the field. These studies may be extended from time to time to determine the correct and best practice of WMS at any given time.
Realtime Object Detection and Disease Prediction of Visually Impaired People
Authors: Dr. Manohar Chaudhary  , Pratik Gade  , Swapnil Waghmare  , Vaibhav Misal  , Abhishek Waghmare
Published: April 2023

In order to detect objects, this research combines real-time object identification with appropriate deep learning techniques. In our study, we describe the creation of a real-time system for item recognition, classification, and position estimation in the open environment. Blind and visually impaired people daily deal with a variety of difficulties. The proposed plan's goal. Computer vision is used to precisely identify indoor items. Those who are blind or visually challenged can use navigational aids, The Technology for navigation of the blind is not sufficiently accessible, without vision it can be challenging for visually impaired persons to navigate through rooms or different road paths .The main aim to develop the project is to help the visually impaired people and to detect the obstacles .The blind persons life become easier and without anyone helps they can walk alone through street they does not need anyone to assist them they can handle their self correctly. The preventing users from dangerous location our aim is to collected from environment (cameras, sensors, scanners, etc.) and transmitted to the users to the audio format. Data in the healthcare industry consists of all the information related to patients. Herea general architecture has been proposed for predicting the disease in the healthcare industry
“Quarentena com produção” - uma ação de extensão do curso de Engenharia de Produção no período de pandemia da Covid-19
Authors: Mello Luciana Torres Correia de , Pontarolo Marianna Cruz Campos , Vasconcelos Natália Veloso Caldas de , Rocha André Luiz Sena da , Figueiredo Ciro José Jardim de , Oliveira Lucas Ambrósio Bezerra de
Published: April 2023

O presente trabalho possui o objetivo de relatar a ação de extensão “Quarentena com Produção” realizada durante a pandemia da COVID-19. A intenção do projeto era levar conteúdo relacionado à Engenharia de Produção, atualizado e coerente com o momento vivido, para a comunidade externa, sobretudo os discentes do curso. O projeto, que teve duas fases (planejamento e execução), durou seis semanas, e foi concluído no retorno do semestre com aulas remotas (junho/2020). Os conteúdos apresentados foram publicados em redes sociais, no perfil do curso e, foram divididos em quatro eixos: Aprimorando o conhecimento durante o isolamento; Casos de sucesso e dicas para o seu negócio; A Engenharia de Produção e sua relação com a COVID-19; e Lazer durante o isolamento. Como resultados foi possível agregar novos seguidores e o incremento positivo no número de visita no perfil (530%), o engajamento da página (13,4%), alcance do perfil (130%), e ações de curtidas e comentários (150%).
Sobre a implementação da curricularização da extensão: caracterizações e preocupações
Authors: Arienti Wagner Leal
Published: April 2023

A  curricularização da extensão nos cursos de graduação das universidades brasileiras, estabelecida pelo Plano Nacional de Educação, 2014-2024,  está em sua fase inicial de implementação. Para manter os objetivos da extensão na formação dos estudantes e atingir o ideal de indissociabilidade do ensino, pesquisa e extensão é preciso ter uma aplicação da definição de extensão estabelecida pela legislação. A aplicação, assim como a trajetória do abstrato ao concreto, não é direta e fácil. Por esta razão, o objetivo do artigo é propor algumas características da extensão para orientar atividades para que se aproximem dos objetivos da curricularização da extensão. Da mesma forma, o artigo indica algumas preocupações com problemas que os cursos de graduação terão que enfrentar na aplicação da curricularização da extensão. Dadas as caracterizações propostas e as preocupações elencadas, de forma não exaustiva, a curricularização da extensão terá que enfrentar desafios, tais como: ampliação da oferta de atividades de extensão, valorização das atividades de extensão, novas formas de relacionamento com a sociedade  e atitude mais propositiva e ativa de professores e estudantes.
Oficina de sabonetes artesanais com ervas medicinais: ecofeminismo, microempreendedorismo e extensão
Authors: Postai Ana Luiza , Coutinho Tatiane Sueli , Crispim Camili , Wilcke Flávia Regina
Published: April 2023

Ervaterapia é um programa de viés extensionista, desenvolvido e financiado pelo Instituto Federal de Educação, Ciência e Tecnologia Catarinense. O presente artigo traz levantamentos e reflexões acerca das oficinas de produção de sabonetes artesanais a partir das ervas medicinais cultivadas no Campus Brusque. Foram realizadas sete oficinas na instituição (Nov.  2021 - Jun. 2022), em horário contraturno, voltadas para o público interno (estudantes) e externo (pessoas em condições de vulnerabilidade social), com os objetivos de: a) reeducar a população acerca das ervas medicinais locais e do uso consciente de medicamentos alopáticos; e b) apresentar fontes alternativas de renda, sobretudo nos eixos do microempreendedorismo/ecofeminismo. Os participantes produziram sabonetes artesanais de lavanda com erva-doce, eucalipto com alecrim, tangerina com limão siciliano, e patchouli com melaleuca. Na oportunidade, conheceram o Instituto, os cursos disponibilizados e os projetos realizados. Como resultado, o projeto possibilitou o estreitamento de laços entre escola, comunidade e meio ambiente.
İslâm’dan Sonra İran’ın İlk Kadın Yöneticisi: Seyyîde Hâtûn
Authors: AYLAR Mustafa
Published: April 2023

Ataerkil toplumlarda kadın yöneticilerinin sayısı oldukça azdır. Bu durum, erkek egemenliğinin hâkim olduğu İslâm sonrası İran’da da geçerli idi. Bununla birlikte, kişisel özellikleri itibariyle ön plana çıkan bazı kadınlar yönetimde söz sahibi olabilmeyi başarmıştır. Bu kadınlardan bir tanesi İslam’dan sonra İran’da ilk kadın yönetici olmaya muvaffak olan Seyyîde Hâtûn’dur. Seyyîde Hâtûn her ne kadar, resmi olarak yönetici olarak görünmese de fiili olarak kocası Fahrüddevle’den sonra 31 yıl boyunca Büveyhîler’in Cibâl kolunun Rey şubesini idare etmeye başarmıştır. 387/997-419/1028 yılları arasında oğlu Mecdüddevle’yi denetim altına alarak Rey şehrinin idaresini üstlenmiş ve kendisine karşı yapılan iç ve dış saldırıları bertaraf etmiştir. Bu çalışmada, İslâm’dan sonra İran’ın ilk kadın idarecisi olan Seyyîde Hâtûn zamanında meydana gelen dâhilî ve hâricî hâdiselerin yanında Seyyîde Hâtûn şahsi yaşamı ve özellikleri hakkında bilgi verilmektedir.
The Relationship Between Personality Traits of Employees and Workplace Social Courage Behavior
Authors: YAŞAR Emre
Published: April 2023

Workplace social courage behavior is studied as a current concept in the academic field. Workplace social courage behavior refers to actions performed for a purpose. One of the factors affecting workplace social courage behavior is employee personality traits. The primary purpose of this research is to examine the relationship between employee personality traits and workplace social courage behavior. Within the scope of the purpose of the investigation, the universe of the study consists of the employees in the hotel enterprises in Antalya. The study sample consists of employees working in 5-star hotel businesses in Antalya. The questionnaire was applied using the judicial sampling technique between 1 August and 20 October 2022. Four hundred four questionnaires were taken into consideration. As a result of the analyses, it was concluded that the personality traits of extraversion, openness to experience, and neuroticism did not significantly affect workplace social courage behavior. Agreeableness and responsibility personality traits were found to affect workplace social courage behavior. In addition, workplace social courage behavior does not significantly differ according to the gender variable.
ABD ve İngiltere Basınında Millî Mücadele Döneminde Kütahya
Authors: ULUDAĞ Mekki
Published: April 2023

Bu çalışmada Millî Mücadele dönemi boyunca Kütahya’da yaşanan gelişmeler, ABD ve İngiltere basınına yansıyan yönleriyle ele alınmıştır. Dolayısıyla ABD ve İngiltere basınından yararlanılmak suretiyle 1918-1922 yılları arasında Kütahya’da yaşananların okuyucunun bilgisine sunulması çalışmanın ana gayesidir. Bu araştırmada karşılaştırmalı içerik analizi yöntemi tercih edilmiştir. Buna göre öncelikle araştırma konusuyla ilgili haber ve yazılar tespit edilmiş, ardından bu haber ve yazılar objektiflik ilkesi göz önünde bulundurulmak suretiyle tasnif edilmiştir. Kütahya’daki gelişmeleri olduğu gibi okuyucuya sunma gayreti içinde olduğu ve çoğunluğunun haber ajanslarına ait olduğu anlaşılan yazılar öncelikli olarak değerlendirilmiş, yanlış bilgiler içerdiği aşikâr olan haberler değerlendirme dışında tutulmuştur. Değerlendirme kapsamına alınması kararlaştırılan haber ve yazılar, yerli kaynaklardaki bilgilerle karşılaştırıldıktan sonra çalışma kapsamına alınmıştır. Çalışmanın önemli olduğu düşünülen bulguları, Kütahya ile ilgili araştırmaların literatürüne katkıda bulunulması ve dönemin iki önemli ülkesi olan ABD ile İngiltere ülkelerine ait basın organlarının Kütahya’daki gelişmeleri okuyucularına sunum şekillerinin ortaya çıkarılmasıdır. ABD ve İngiltere basın organlarının, Millî Mücadele dönemi boyunca Kütahya’da yaşanan gelişmelere önemli oranda yer verdiği tespit edilmiştir.
Merkeziyetsiz Kamusal Alan: Metaverse Bağlamında Kamusal Alanı Yeniden Düşünmek
Authors: GÜL ŞENKARDEŞ İnci Çağla
Published: April 2023

Kamusal alan, vatandaşların siyasi, ekonomik ve toplumsal konuları bir araya gelerek tartışmasına olanak tanıyan bir alan olarak tanımlanmaktadır. Fikir paylaşımı ve bilgi akışına imkân veren kamusal alan ile mümkün olan etkileşime girme imkânı, bireylerin pasif dinleyicilerden potansiyel katılımcılara dönüşmesine olanak tanır. Günümüzde fiziki ortamların yanı sıra dijital ve sanal ortamlar da bireylerin siyasi ve kültürel konuları tartışması için platformlar sağlamaktadır. Bilgi ve iletişim teknolojilerindeki ve yazılım destekli platformlardaki hızlı gelişmeler, kamusal alanın fiziki ortamların yanı sıra dijital ve sanal ortamlara genişlemesine imkân verirken, kamusal alana erişimi de artırmıştır. Web2.0 tabanlı dijital ve sosyal medya platformları kamusal alanı mekânsızlaştırarak erişimi artırırken, büyük teknoloji şirketleri ve kamu kaynaklı kısıtlamaların da etkisi altında bırakmaktadır. Bu kısıtlamalar odağında, dijital iletişim platformlarının merkezi olmayan bir şekilde yönetilmesine imkân veren Web3.0 vizyonu, erişim ve ifade özgürlüğünün olduğu alternatif bir kamusal alanı tartışmaya açmaktadır. Merkeziyetsiz etkileşime imkân veren Web3.0 teknolojisi üzerinde geliştirilen metaverse platformları üzerine yapılan bu araştırmada, bu platformların sağladığı demokratik katılım ve özgür fikir paylaşımı potansiyeli incelenmektedir. Bu makalede, mekânsallığı sanal bir formda geri getirerek sansürsüz katılım ve fikir paylaşımına imkân veren blokzincir tabanlı açık metaverse platformlarının kamusal alan üzerinde tetiklediği yapıcı yıkım üzerine bir tartışma sunulmaktadır.
Aleksandr Dugin’in Afganistan ve Suriye Özelinde Bölgesel ve Küresel Güvenlik Analizleri
Authors: ÖZKAN Ahmet
Published: April 2023

Aleksandr Dugin yakın Rus siyasi tarihi açısından ortaya koyduğu fikirlerle ön plana çıkan önemli bir düşünürdür. Özellikle jeopolitiği Rusya’nın lehine yorumlayarak Avrasyacı bir yaklaşım ortaya koyan Dugin, yaptığı açıklamalarla ve söylemlerle iddialı çıkışlar yapmaktan geri durmamaktadır. 2001 yılında ABD’de gerçekleşen terör saldırıları sonrasında ABD’nin Afganistan’ı işgal etmesi ve bu işgalden yirmi sene sonra 2021 yılında Afganistan’dan tamamen çekilme kararı alması ve bu kararı uygulamaya geçirmesi bölgesel ve küresel olarak pek çok etkinin ortaya çıkmasına neden olmuştur. Nitekim 2001 yılında başlayan ABD’nin Afganistan işgali uluslararası gelişmeler içerisinde ne kadar önemli bir yere sahipse aynı şekilde 2021 yılında ABD’nin Afganistan’dan çekilmesi de aynı önem derecesine sahiptir. Bu sebeple Afganistan’ın nasıl bir yapı arz ettiği, ABD’nin Afganistan’ı işgalinin ve sonrasında çekilmesinin Dugin nezdinde Rusya cephesinde nasıl algılandığı ele alınması gereken bir meseledir. Aynı şekilde ABD’nin Suriye’deki varlığı ve bölgede bulunan terör örgütleriyle kurduğu ilişki Türkiye ve bölge açısından ciddi bir tehdit oluşturmaktadır. Bu tehditler ve dahası Dugin tarafından nasıl analiz edilmektedir? Kısaca bu çalışmada Aleksandr Dugin’in Afganistan ve Suriye özelinde yaşanan gelişmeleri küresel ve bölgesel güvenlik açısından nasıl yorumladığı ele alınmıştır.

Anahtar Kelimeler
Birleşmiş Milletlerde Demokratikleşme Sorunu
Authors: BOZAN Mahmut
Published: April 2023

Sanayi devrimi ile başlayan küreselleşme, bilgisayar ve internetle birlikte pek çok alanda küresel bütünleşmeye yol açmıştır. Artık dünya birbirinden ayrı kendi bütünlüğü içinde yaşayan kıtalardan oluşmamakta, bilakis bütünleşik kocaman bir devlet manzarası arz etmektedir. Güçlü ülkelerin sömürge rekabeti sebebiyle çıkardığı savaşlar sömürülen ülkeler kadar sömüren ülkeler için de yıkıcı olmuş, bu sebeple Cemiyeti Akvam ve Birleşmiş Milletler (BM) gibi uluslararası teşkilatlar kurularak savaşların önlenmesine çalışılmıştır. ABD öncülüğünde 2. Dünya Harbinin galipleri tarafından kurulan BM maalesef barışı korumada başarılı olamamaktadır. BM bugün kendisine üye 193 ülkenin değil, veto ayrıcalığına sahip Güvenlik Konseyi daimî üyesi beş ülkenin menfaatlerine hizmet etmektedir. Bu duruma başta Türkiye olmak üzere dünyada pek çok ülke itiraz etmektedir. BM’nin üye ülkeler tarafından demokratik temsil esasına göre yeniden yapılandırılarak bir Dünya Parlamentosuna dönüştürülmesi, ayrıcalıkların kaldırılması, BM’nin altındaki IMF ve Dünya Bankası gibi diğer uluslararası kuruluşların da benzer şekilde demokratikleştirilmesi gerekmektedir. Bu çalışmada başta BM olmak üzere uluslararası kuruluşların yapıları incelenerek demokratikleştirilmelerine yönelik öneriler ele alınacaktır.