bluuebunny/crossref_metadata_2025 huggingface dataset:
Capabilities of computer algorithm like human brain utilizing artificial neural networks: a task
Authors: Jesus N Abaloa  , Manuel L Sentillas Jra
Published: August 2022

Input and output appear to be how computer algorithms work. We take input and apply each step of the algorithms to it in order to get an output. The input leads to progress and questions that must be addressed in a timely manner. The output is the created result when each stage of the flowchart has been completed.The Central Processing Unit (CPU) is the computer's brain. A CPU accepts data, executes instructions, and interprets information, and we can conceive of it as a decision-maker similar to the human brain. The context of real-world situations is interpreted in a way that computers cannot. Neural Networks are being developed to address the problem. They are a series of algorithms that have been designed to recognize patterns and are modeled after the human brain. They use machine perception, tagging, and raw data creation to interpret sensory neurons.  ANN is the answer to making communications more human-like and allowing ANN to reason like humans. It was inspired by the evolution of the brain. A computer architecture in which many processors connect neurons in a human brain, allowing it to learn by processing one item in another until it succeeds. The brain's interconnected cells act similarly to computer-programmed Artificial Neural Networks.
Android sms and file manager encrypted application using aes-vigenere and aes/ecb/pkcs5/padding a hybrid encryption algorithm
Authors: CELINE DIANNE MONTANO
Published: August 2022

The study, entitled Android SMS and File Manager Encrypted  Application Using AES-Vigenere and AES/ECB/PKCS5/Padding a Hybrid  Encryption Algorithm, was a proposed solution about Social Engineering and  hacking. With the Data Privacy Act of 2012, the study encourages and inspires. The study's goal is to offer users security and safety for their personal information. The purpose of this research is to prevent cyber theft. The theft of financial and/or personal information through the use of a computer/device for fraudulent or other criminal purposes is referred to as cyber theft. For this situation, the study suggested solutions.The research covers the first chapter's Project Context, Purpose and Description, Conceptual Framework, Objectives, Scope, and Limitations. The first chapter offers a general overview of the application. The project background covered the area, challenge, and how the developers came up with the plan, as well as the main point of the research. The objectives were directed at the system's functioning, and the scope and constraints were addressed to determine the study's capability and boundaries. The research also offered the associated literature and study materials synthesized, such as the Changed AES Algorithm Using Multiple S-Boxes, which assists the group in altering and producing a unique and freshly modified algorithm that would improve the security of the application.The research, on the other hand, went into the technical background as well as the hardware and software requirements that the developers employed to improve the program. The research gives information on the system requirements that comprise the versions of software and hardware that the application's proponents utilized to develop it. The design and methodology of our study were also discussed. This includes many schematics depicting the system's flow as well as a constructed prototype. The research demonstrates the concepts and frameworks that the application's proponents utilized to design the application. This chapter contains factual information regarding the actions and techniques taken by the responders in constructing the application. This also includes ways for how the proponents undertake data collection operations.
Horizontal axis wind turbine
Authors: Prasad D  , Bhavani K  , Supraja P  , Vamsi B  , Sai Charan Reddy V
Published: August 2022

This paper describes a systematic approach to building an intelligent solar Tracking system (ISTS), for improving the performance of solar panels. The ISTS is a hybrid hardware / software prototype, which automatically provides best alignment of solar panel with the sun, to get maximum output (electricity). This method is increasing power collection efficiency by developing a device that tracts the sun to keep the panel at a right angle to its rays.The Embedded solar tracking instrumentation system by using microcontroller. The system consists of Light Dependent Resistor (LDR) sensor, DC motor .Arduino UNO microcontroller is the main component for controlling the system. The solar system will track the location of the sun to ensure the solar panel is always perpendicular with the sun therefore optimizing power output. The operation of the system on sunny and bad weather condition has been presented in this paper. The solar tracking prototype has been stated for future works.
Arduino based weather monitoring system
Authors: Kiran Kumar C H  , Prathap Varma P  , Bharath Kumar D  , Dhanya Syamala P  , Aswini S  , Madhan Mohan Reddy Z
Published: August 2022

Weather gives a clear idea about the atmosphere around us. It is mainly defined by the temperature and moisture present in air. The project now proposed was based on the ideology of using both science and technology on same platform to yield our desired output that is to properly monitor weather conditions without any errors. Now- a- weather monitoring stations are widely used to predict day-to-day weather. But this is on large scale. So, we are going to propose a mini weather monitoring system that is used in home or in small business areas.
Crime data anlysis using machine learning
Authors: Kiran P  , Mounika B  , Naveen P  , Tejaswini N  , Karthik B
Published: August 2022

Crime is one of the biggest and dominating problems in our society and its prevention is an important task. Daily there are huge numbers of crimes committed frequently. This requires keeping track of all the crimes and maintaining a database for same which may be used for future reference. The current problem faced are maintaining of proper dataset of crime and analyzing this data to help in predicting and solving crimes in future. The objective of this project is to analyze dataset which consist of numerous crimes and predicting the type of crime which may happen in future depending upon various conditions. In this project, Machine Learning and data science techniques are used for crime prediction of Chicago crime data set. For this supervised classification  Random Forest algorithm is used. This approach involves predicting crimes classifying, pattern detection and visualization with effective tools and technologies. Use of past crime data trends helps us to correlate factors which might help understanding the future scope of crimes. In this work, various visualizing techniques and machine learning algorithms are adopted for predicting the crime distribution over an area. In the first step, the raw datasets are processed and visualized based on the need.
Detecting counterfeit banknotes with machine learning
Authors: Suneetha Rani R  , Gayathri B  , Venkata Surya M  , Jharani Asha Kiran P  , Siva Krishna R
Published: August 2022

The one important asset of our country is Bank currency and to create discrepancies of money miscreants introduce the fake notes which resembles to original note in thefinancial market. During demonetization time it is seen that so much of fake currency is floating in market. In general, by a human being, it is very difficult to identify forged note from the genuine not instead of various parameters designed for identification as many features of forged note are similar to original one. To discriminate between fake bank currency and original note is a challenging task. So, there must be an automated system that will be available in banks or in ATM machines. To design such an automated system there is need to design an efficient algorithm which is able to predict weather the banknote is genuine or forged bank currency as fake notes are designed with high precision. In this project six supervised machine learning algorithms are applied on dataset available on UCI machine learning repository for detection of Bank currency authentication
Detecting chronic kidney disease by using a voting classifier
Authors: Rama M  , Tejaswini G  , Niharika T  , Murari K  , Bhanu Prakash M
Published: August 2022

Chronic Kidney Disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. Since there are no obvious symptoms during the early stage of CKD, patients often fail to notice the disease. Early detection of CKD enables patients to receive timely treatment to ameliorate the progression of this disease. Machine learning models can effectively aid clinicians achieve this goal due to their fast and accurate recognition performance. In this, we proposed a machine learning methodology for diagnosing CKD. The CKD data set was obtained from the University of California Irvine (UCI) machine learning repository, which has a large number of missing values. In general we have six machine learning algorithms like logistic regression, random forest, support vector machine, k-nearest neighbour, naive Bayes, classifier and feed forward neural network to establish models. In existing system random forest achieved the performance with 99.75% diagnosis accuracy. In proposed system, By analysing the misjudgments generated by the above model, we proposed an integrated model that combines logistic regression and random forest by using perceptron which could achieve an efficient accuracy of 99.83% after ten times of simulation. Hence, we speculated that this methodology could be applicable to more complicated clinical data for disease diagnosis.
Effective heart disease prediction using hybrid machine learning technique
Authors: Kiran P  , Swathi A  , Sindhu M  , Manikanta Y  , Mahesh Babu K
Published: August 2022

Heart disease is one of the most significant causes of mortality in the world today. Prediction of cardiovascular.Disease is a critical challenge in the area of clinical dataanalysis In this project, we propose a novel method that aims at finding significant features by applying machine learning techniques (EML) resulting in improving the accuracy in the prediction of Heart disease.HRFLM (Hybrid Random Forest Linear Model) Technique proved to be quite accurate in the prediction of heart disease. by using entropy feature selection technique and removing unnecessary features, different classification techniques such that Gaussian Naïve Bayes, Support Vector Machine, Hybrid Random Forest with Linear Model, and Extension extreme Machine Learning Technique are used on heart disease dataset for better prediction. Different performance measurement factors such as accuracy precision, recall, sensitivity, specificity, and F1-score are considered to determine the performance of the classification techniques. Our project compares the performances of the classification algorithms in the prediction of heart disease. It tries to find out the best classifier for the detection of heart diseases.
STUDY OF NANOTECHNOLOGY WITH APPLICATION
Authors: Jeyajothi K  , Abinaya R  , Nisha M
Published: August 2022

Nanotechnology is based on the fact that the properties of materials become a verity of size approaches that of a few hundred or tens of atoms. This technology is reached a point at which the boundaries separating discrete disciplines become blurred, and it is for precisely this reason that nanotechnology is also referred to as a convergent technology. The key application of nanotechnology is the development of processes that control placement of individual atoms to form products of great complexity at extremely small scale. Nanotechnology includes many techniques used to create structures at a size scale below 100 nm. Nanoparticles have proved useful in catalysis. One fundamental characteristic of nanotechnology is that nanodevices self-assemble. Nanotechnology proposes the construction of novel molecular devices possessing extraordinary properties. One of the primary implementation of this technology is the fabrication of low dimensional semiconductor systems. The novel electronic and optical properties of these low dimensional devices are the boon for a variety of future applications. The Metal-Insulator transition is the main criteria for the existence of low dimensional semiconductor systems in the recent observations. Specially designed nanodevices, in the size of bacteria, might be programmed to destroy arterial plaque, or cancer cells, or to repair cellular damage caused by aging, and then be injected into the body.
The Multiplicity of Now: An Alternate Vision for a Small Town
Authors:   , O'Shea Olibhear
Published: August 2022

Many rural towns within NZ are suffering from decline. However, a few are breaking that trend and conversely suffering growing pains. This design-led thesis seeks to understand and interpret how the small town of Cromwell in the South Island of New Zealand (NZ) might grow to not only support its booming population but also unlock its Sense of Place. Often smaller localities lack the resources and capability to invest in good urban design/architecture, let alone the political resolve to see through a long term implementation. This thesis operates in a theoretical realm and therefore has the ability to ponder, How would you tackle this scenario if resources were less of a barrier?

This research looks at theories of identity, memory and Place, and weaves these philosophical ideas with a real town, with real problems, to explore an alternate vision for Cromwell. Cromwell is somewhat unique in that it was once located at the mouth of two rivers, until a lake, only 30 years ago, flooded the town centre in its entirety. A new town centre was built further north, but the passage of time revealed it denies its people a communal heart and a sense of Place. The resulting research informs the design of a new town and roading network, which, it is argued, can go a long way towards increasing the town’s visibility, community and enhance its Place. The final outcome presents a vision for Cromwell and offers an alternative interpretation of the principles that should be valued when faced with growth in Cromwell but also more generally in other smaller NZ towns.
Why Should we be Impulsive at Times When we Would be Self-Controlled?
Authors:   , Hammond Annabelle
Published: August 2022

Impulsivity in delay discounting paradigms is related to a variety of poor outcomes. Yet, a recent study by Neff and Macaskill found that a sizable subset of participants said that they should be impulsive, even in cases where they would be self-controlled (reward immediacy foregoing choices). This pattern has not been reported previously.

In Experiment 1, we explored this counter-intuitive finding by asking 153 undergraduate students to repeatedly choose between hypothetically receiving a smaller amount of money now or a larger amount of money later. Participants were asked both what they would do, and what they should do. Results of a multi-level logistic regression indicated that reward immediacy foregoing choices were most likely to occur closer to their indifference points, meaning the two alternatives were of similar subjective value. This indicates that these choices may be made as the result of variability due to high decision conflict. We followed-up by asking participants to describe what they considered when making their choices and conducted a thematic analysis on their answers. Participants who made reward immediacy foregoing choices indicated that they should be attending to their current financial needs more than they would.

Experiment 2 enlisted 159 undergraduate student participants and sought to experimentally determine whether current financial need and/or variability around the indifference point contributed to reward immediacy foregoing choices. We did this by adding a front-end delay and assessing choice reliability, respectively. The front-end delay meant that the smaller, sooner reward could not fulfil a current financial need, therefore we hypothesised that reward immediacy foregoing choices would decrease. Although this was the case, the reliability of these choices was also very low, so it is unsettled whether the low occurrence after the front-end delay was due to our manipulation or low reliability. Quantitative results thus pointed to variability as a key contributor to reward immediacy foregoing choices. Participants’ descriptions of the factors they considered suggested that current financial need might play an additional role. Further research on variability as a function of distance to the indifference point is warranted.
A Brief Analysis of the Correlation Between Allergic Rhinitis and Traditional Chinese Medicine Constitution
Authors: Zhang Yueyu , Zhang Lihua
Published: August 2022

Allergic rhinitis (AR) and is a type of allergic diseases caused by an inflammation of the nasal mucosa caused by allergens. Clinically, AR is a common allergic disease and is difficult to treat. Due to differences in individual constitutions also known as body type, the severity of the disease is also different and it may even affect the daily life of the patient if it is severe. The effective treatment of AR has become a hot topic in current allergic disease research. Traditional Chinese Medicine’s understanding of constitution is based on the “Yellow Emperor’s Internal Classic” book, and Professor Wang Qi put forward the “physical constitution theory of traditional Chinese medicine”. The constitution is a key internal factor of the occurrence and development of diseases. It is believed in Traditional Chinese medicine (TCM) that the constitution can be regulated, and rectifying the patient’s imbalanced constitution has a positive effect on the diagnosis, treatment, and prognosis of the disease. Therefore, based on the “physical constitution theory of TCM”, this study considers the idea of treating body differently applying TCM constitution in the treatment of AR as the breakthrough point, and explores the correlation between AR and TCM constitution. The results show that TCM constitution is an intrinsic factor affecting the pathogenesis of AR. The use of TCM constitution theory in the treatment of AR has a positive effect and should be popularized in application.
Penerapan slow deep breathing dan dzikir terhadap tingkat kecemasan penderita hipertensi pada lansia
Authors: Putri Rosa Isnaini , Nurhidayati Tri
Published: August 2022

Hipertensi adalah keadaan dimana terjadinya peningkatan tekanan darah diatas batas normal. Batasan pada lansia yang berusia diatas 60 tahun bila sudah lebih dari 140/90 mmHg.Kondisi tubuh lansia yang mengalami hipertensi dapat kembali membaik,akan tetapi faktor-faktor psikologis lansia sangat berpengaruh terhadap proses penanganan masalah hipertensi.Hal ini dapat menyebabkan lansia mengalami gangguan psikis seperti kecemasan. Penanganan kecemasan dapat dilakukan dengan jenis piskoterapi yaitu dengan slow deep breathing dan dzikir. Studi ini bertujuan untuk mengetahui penurunan tingkat kecemasan dengan pemberian terapi slow deep breathing dan dzikir pada responden lansia dengan hipertensi. Studi ini menggunakan desain deskriptif dengan pendekatan proses asuhan keperawatan. Subjek studi kasus adalah lansia dengan tingkat kecemasan pada penderita hipertensi. Subjek studi kasus berjumlah 2 orang,didapatkan secara purposive sampling. Instrumen yang digunakan kuesioner GAS (Geriatric Anxiety Scale) terdapat 30 pertanyaan. Data hasil studi disajikan dalam bentuk tabel intervensi rerata penurunan tingkat kecemasan pre dan post terapi slow deep breathing dan dzikir selama 4 hari. Terapi Slow Deep Breathing dan Dzikir dapat menurunkan tingkat kecemasan dengan nilai 6-7, reaksi positif terapi slow deep breathing dan dzikir secara teratur akan meningkatkan sensitivitas baroreseptor dan mengeluarkan neurotransmitter endorphin sehingga mengstimulasi respon saraf otonom yang berpengaruh dalam menghambat pusat simpatis dan merangsang aktivitas parasimpatis (menurunkan aktivitas tubuh atau relaksasi). Terapi relaksasi slow deep breathing dan dzikir dengan lafadz istighfar efektif untuk dilakukan menurunkan tingkat kecemasan pada lansia. Hasil kedua kasus diatas rata-rata tingkat kecemasan responden mengalami penurunan dengan skor 6-7 dengan kategori (kecemasan ringan).
Cartografia do ódio em rede: análise da Liga de futebol profissional em Portugal
Authors: Miranda Sandra , Antunes Ana Cristina , Di Fatima Branco
Published: August 2022

A presente investigação tem como principal objetivo analisar as narrativas de ódio de tipo racista que são proferidas nos social media dos clubes da Liga Portuguesa de futebol profissional, na temporada de 2020/2021. Para o efeito, adotou-se uma metodologia mista, quantitativa e qualitativa, organizada em três momentos sequenciais: extração de dados do Facebook, o tratamento e a análise de conteúdo. Os dados postos em evidência mostram, essencialmente, a presença de manifestações discursivas racistas de cariz impulsivo, instrumental e, por vezes, regionalista. Em sentido oposto, monitorizou-se um conjunto de comentários de repúdio face às expressões de racismo e um apelo ou mesmo incitação à atuação dos clubes de futebol e dos seus órgãos para travar tais manifestações de racismo.
Analisa Kinerja Simpang Tak Bersinyal Empat Lengan Jalan Muharto, Jalan Puntodewo, dan Jalan Muharto Gang 7 Kota Malang pada saat Pandemi COVID 19
Authors: Puspasari Laurensia Sofie , Fadillah Achmad , Prihantono Herdin
Published: August 2022

The population growth are very rapid. These lead to the increase in the use of motor vehicles. There is a problem due to the case. They cause problem in the traffic system when the road is not able to serve the volume of the vehicles. This problem-also happens at the intersections of Muharto Street, Puntodewo Street and Muharto Street Block 7 in Malang City. This study aims to find the performance of the intersection using the MKJI 1997 method. The results of this study showed the performance of the intersection did not meet the requirements. The traffic flow that occurs at the intersection was found as much as 3232-pcu/hour, while the capacity of the intersection is 2965-pcu/hour. This causes the degree of saturation as-high-as 1.09, which does not meet the requirements (DS0.75). The delay is 24.54-seconds/pcu. The probability of a vehicle queue, obtained from the degree of saturation, is 47.98%-95.84%.
PAEDIATRIC POST-OPERATIVE NAUSEA AND VOMITING
Authors: Ariyanayagam Rachel , krishnachetty Bobby
Published: August 2022

This tutorial covers the physiology of vomiting, risk factors for post-operative nausea and vomiting (PONV) in children, methods of risk reduction, and both pharmacological and non-pharmacological strategies for preventing and managing paediatric PONV.
Yabancılara Türkçe öğretiminde kullanılan okuma kitaplarında örtülü anlam unsurlarının değerlendirilmesi
Authors: KAYATÜRK Nuray , TİRYAKİ Esra Nur
Published: August 2022

Dil öğrenimi ve öğretiminde kullanılan etkili araçlardan biri de ders kitaplarıdır. Metin, dile ait yapıların bir arada sunulduğu zengin bir materyaldir. Türkçe öğretiminde üzerinde durulması gereken konulardan biri de anlam bilgisidir.Metinlerde yer alan anlamsal yapılar bazen açık olarak bazen de örtülü olarak verilir. Bir metinde yer alan mecaz, atasözü, deyim gibi ifadeleri bilmek gereklidir.Bu nedende yabancılara Türkçe öğretiminde örtülü anlamlara da yer vermek gereklidir. Bu çalışmanın amacı, yabancılara Türkçe öğretmek için hazırlanan ders kitaplarındaki metinlerde yer alan örtülü anlam unsurlarının tespit edilmesidir. Araştırmada araştırma evreni, İstanbul Yabancılara Türkçe Öğretimi Ders Kitabı B1, B2 ve C1/+ seviyesindeki kitapların okuma metinleri oluşturmaktadır. Araştırmada veriler “Örtülü Anlam Unsurları Değerlendirme Formu” na göre incelenmiştir.Formda 9 madde başlığı bulunmaktadır. Ölçeğin kapsam geçerliliğini sağlamak için uzman görüşüne başvurulmuştur. Uzman görüşü sonucunda kodlayıcılar güvenilirliği 0.92 olarak tespit edilmiştir. Buna göre ölçek geçerli ve güvenilirdir. Verilerin çözümlenmesinde betimsel istatistik teknikleri frekans ve yüzde) kullanılmıştır. Araştırmanın sonucunda, ders kitaplarındaki örtülü anlam unsuru olan aktarma kullanımı seviyelere göre dengeli bir dağılım göstermiştir. Derin yapı- yüzey yapı ayrımı gösteren cümle kullanımına bakıldığında, B1- B2 ve C1/+ seviyelerinde yaklaşık aynı oranda dağılım gösterdiği sonucuna ulaşılmıştır.D eyim-atasözü ve sezdirim unsurları beklenen düzeyde seviyelere göre artış göstermiştir. Bağdaştırma, Duygu değeri/çağrışım, mecaz, önvarsayım unsurları ise seviyeler arasında dengeli dağılım göstermemiştir. Metafor unsuru C1/+ seviyesi dışındaki seviyelerde düzenli artış göstermiştir.
Çocuk öykülerinde kültür ve değer çatışması üzerine bir karşılaştırma: Cambaz Parası ile Yaşlı Kadın ve Papağan örneği
Authors: AKDAĞ Erhan
Published: August 2022

Çocuğun kişilik gelişiminde kitabın önemli rolü bulunur. Bilişsel, duyuşsal ve psiko-motor gelişim açısından son derece işlevsel olan kitaplar çocukların düşüncelerini, duygularını, hayal dünyalarını biçimlendirmenin yanı sıra kişiliklerini de etkiler. Bu nedenle çocuk kitaplarının basımında yayınevlerinin, seçiminde ise ailelerin ve öğretmenlerin son derece bilinçli ve dikkatli olmaları gerekir. Özellikle çeviri çocuk kitaplarında farklı kültür ve inançlara sahip yazarların pedagojik özene sahip olup olmadıkları, çocuklar için yazıp yazmadıkları, evrensel değerleri göz önünde bulundurup bulundurmadıkları, dil ve anlatıma dikkat edip etmedikleri gibi pek çok ölçüt göz önüne alınmalıdır. Söz konusu ölçütleri taşımayan yayınlar, çocukların zihninde kültür ve inanç karmaşasına yol açabilir. Bu çalışmada, Gülten Dayıoğlu’nun Cambaz Parası ve Virginia Woolf’un Yaşlı Kadın ve Papağan adlı çocuk öykülerindeki temel değerler karşılaştırılmıştır. Söz konusu eserler incelenirken pedagojik duyarlık göz önünde tutularak Cambaz Parası’nda söz konusu duyarlığın gözetildiği ve ‘empati, güven, dürüstlük, iyilik, sevgi, paylaşma’ gibi temel değerlerin işlendiği, Yaşlı Kadın ve Papağan’da ise söz konusu duyarlığın gözetilmeyerek ‘bencillik, yabancılaşma, nefret söylemi, ölüye saygısızlık’ gibi olumsuz tutum ve davranışların yer aldığı tespit edilmiştir.
Evaluation of the textbook used in the pandemic: From teachers’ and students’ perspectives
Authors: AYSU Semahat
Published: August 2022

The textbook has a significant role in language teaching process for both teachers and learners. Therefore, teachers should select it considering the needs of learners, language teaching method or channel. In other words, a textbook might be appropriate for foreign language learners but not for second language learners or a textbook might be very useful for face-to-face teaching but not for online teaching. Therefore, this current study aims to evaluate “Life” textbook series, which was used in an elective preparatory school of a state university in Turkey. It was used through online learning during the pandemic. Since the number of English teachers in the elective preparatory class is less than 20 and the results, in turn, cannot be statistically significant, qualitative analysis was carried out. Furthermore, students’ opinions about the book and its activities were revealed through the parallel questionnaire. Open-ended questions were employed in this study. Data gathered by means of the questionnaires were analyzed via thematic analysis. Based on the gathered data, 3 codes were revealed, which are listed as in the following: strengths, weaknesses and suggestions.
Positive self-representation in public discourse: A critical discourse analysis of denial strategies in Ekşi Sözlük
Authors: BATURAY MERAL Semra
Published: August 2022

In today's society, racial and ethnic biases / concerns can be shown in a variety of ways. Members of the majority group primarily shape public discourse by expressing their ethnic perspectives in various ways. They may show, hide, and/or deny negative feelings against minorities, immigrants, refugees, and/or the others. In this regard, the present study attempts to examine and explore denial of unfavorable ethnic attitudes, biases, and worries voiced in public discourse regarding Turkey's Armenian minority. Within the framework of the study, I will investigate what kind of denial strategies may be found in the posts (comments) under the headings "Ermenilerden özür diliyorum" [I apologize to Armenians] and "Hepimiz Ermeniyiz" [We are all Armenians] posted on Ekşi Sözlük "Sour Dictionary" (one of the largest collaborative online communities in Turkey) between 2007-2008 years, shortly after the assassination of Hrant Dink (a journalist and member of the Armenian minority group living in Turkey) in 2007. Accordingly, I will discuss the sample entries within the scope of Critical Discourse Analysis and Teun van Dijk's denial strategies, which aim to show how ideology and ideological processes reveal themselves as linguistic systems. Then I will present my analysis of the most frequently used denial strategies observed in these entries. I will examine the denial methods used in the text and determine how racial or ethnic biases and concerns (at the macro level) are expressed in the text through word choice, sentence structure, hierarchy, and context (micro level). In this way, we will be able to see macro-level goals in the text through micro-level structures.
Project-based learning as an alternative solution for learning computer basics during the Covid-19 pandemic
Authors: Wulandari Yunita Oktavia , Khasanah Fitria , Octavianti Cynthia Tri
Published: August 2022

This study aims to obtain a meaningful alternative learning in computer basics courses during the covid-19 pandemic. The Covid-19 pandemic has gradually changed the educational paradigm, namely learning that was initially carried out synchronously into asynchronous Learning. It is at this time that all elements adapt to find effective solutions in carrying out meaningful Learning. In this study, Project-Based Learning will be designed in Computer Basics learning as a solution to make meaningful asynchronous Learning. Project-Based Learning was chosen because it has characteristics that are process-centred, problem-focused, combining the concepts of several components, both knowledge, disciplines, and field experience. The study subjects were college students of class Computer Basics, with a total of 11 students. There are two projects in this study with three steps which are planning the project, implementation the project, and evaluating the project. The result of this study is that meaningful learning alternatives are obtained for prospective mathematics teacher students in the Computer Basics course so that in the future, they can hone their creativity.
Dijital Sanatlar - Dijital Edebiyatlar
Authors: SOLAK Ömer
Published: August 2022

Multimedya sanatları yüzyılın ikinci yarısına ait dijital teknolojileri kullanan sanat uygulamalarının genel adıdır. Bilgisayar sanatı, yazılım sanatı, sanal sanat, interaktif sanat, net sanatı ve video sanatı gibi pek çok türevi vardır. Bunlara 1980’lerin sonunda ilkin dijital sanatlar denilmiştir; ardından 2000’lerin başında bilgisayarın bu sanatların üretimindeki rolünden dolayı bilgisayar sanatları ifadesi tercih edilmiştir. Sonrasında bu sanatların farklı medya ortamlarının kullanımıyla alakalı olduğu düşüncesiyle multimedya sanatları ya da yeni medya sanatları ifadesi yaygınlık kazanır.
Elektronik edebiyat (electronic literature), dijital ortamlarda ve dijital ortamlar için üretilmiş her türlü edebiyattır. E-kitaplar, hiperkurgu ve hiperşiirler, algoritmalarla oluşturulan şiirler, grafik formlarda sunulan animasyonlu şiirler, etkileşimli metinler, e-posta edebiyatı, SMS edebiyatı, blog edebiyatı, sosyal medya edebiyatı gibi türlerden oluşur.
Bu çalışmada bilgisayar teknolojilerinin yükselişi ile insan hayatına giren ancak uzun süre geleneksel sanat ve edebiyat çevrelerinin direnişi ile karşılaşan yeni sanatsal türler, edebi ifade formları ve araçlarının ilişkisi kuramsal ve uygulamalı cephesi ile ele alınmaya çalışılacaktır. Bu türden sanatlar, mademki postmodern dünyanın hakimi bilgisayarlardır ve herkesin en mahrem bilgileri veri bankalarında toplanmaktadır; o halde sanat da bu dünyada kendine bir yer bulmalıdır, görüşünden hareket etmektedir. Tıpkı Postmodernizm gibi öne çıkan sosyal tavrı; yerel ve etnik olandan, melezlik ve kimlik sorunlarından yana bir ideoloji barındırmasıdır. Ancak bu tavır, henüz sosyopolitik bilinç halini alamamış; medyanın interaktif yanını kullanan bir sosyal aktivizmden öte geçememiştir.
Time Series Temperature Forecasting by using ConvLSTM Approach, Case Study in Jakarta
Authors: Rasyid Faishal , Adytia Didit Adytia
Published: August 2022

Climate change has occurred in several countries, especially in tropical countries such as Indonesia. It causes extreme temperature changes in several Indonesian areas, especially Jakarta, one of the world's most populated cities. The population of Jakarta causes the activities carried out by residents to be disturbed by extreme temperature changes. In addition, drastic temperature changes also affect the energy consumption used by residents. Therefore, it is necessary to predict temperature to determine future temperature conditions so that residents can plan their activities. Temperature forecast can be done in several ways, one of which uses a machine learning approach. This research uses a deep learning model called the Convolutional Long Short-Term Memory (ConvLSTM). Moreover, we also compare the model with Multi-Layer Perceptron (MLP), and Long Short-Term Memory (LSTM). We use temperature data taken from the ERA-5 period years 2018 to 2020 located in Kemayoran, Jakarta, Indonesia. This research aims to investigate the accuracy of short-term temperature forecasting by using these three models. The model is built to predict short-term temperatures for 1, 3, and 7 days ahead. The performance of the three methods is measured by calculating the Root Mean Square Error (RMSE), Mean Square Error (MAE), and Coefficient Correlation (CC). The result shows that the LSTM performs better than the other methods to forecast 1, 3, and 7 days, i.e., with the lowest RMSE, MAE, and higher CC.
Application of Naïve Bayes Algorithm Variations On Indonesian General Analysis Dataset for Sentiment Analysis
Authors: Umar Najirah , M. Adnan Nur
Published: August 2022

Indonesian General Analysis Dataset is a dataset sourced from social media twitter by using keywords in the form of conjunctions to get a dataset that does not only focus on a particular topic. The use of Indonesian language datasets with general topics can be used to test the accuracy of the classification model so as to provide additional reference in choosing the right methods and parameters for sentiment analysis. One of the algorithms which in several studies produces the highest level of accuracy is naive Bayes which has several variations. This study aims to obtain the method with the best accuracy from the naive Bayes variation by setting the minimum and maximum document frequency parameters on the Indonesian General Analysis Dataset for sentiment analysis. The naive Bayes classifier variations used include Bernoulli naive Bayes, gaussian naive Bayes, complement naive Bayes and multinomial naive Bayes. The research stage begins with downloading the dataset. Preprocessing becomes the next stage which consists of tokenizing, stemming, converting abbreviations and eliminating conjunctions. In the preprocessed data, feature extraction is carried out by converting the dataset into vectors and applying the TF-IDF method before entering the sentiment analysis classification stage. Tests in this study were carried out by applying the minimum document frequency (min-df) and maximum document frequency (max-df) for each variation of naive Bayes to obtain the appropriate parameters. The test uses k-fold cross validation of the dataset to divide the training data and sentiment analysis test data. The next confusion matrix is ​​made to evaluate the level of accuracy.
Filter ZeRAK for Decreasing Water Hardness and Coliform
Authors: Haryono Haryono , Rubaya Agus Kharmayana
Published: August 2022

One of chemical requirement for drinking water is hardness. Water with high level hardness isvery dangerous for human health, specifically for kidneys. MPN coliform as one of bacteriologicalrequirements for water quality is an indicator for excreta pollution. The aim of the study was todecrease water hardness and coliform in water wells of Jimbung Villages in Kalikotes, Klaten byinstalling ZeRAK filter, which consists of zeolite, resin, chlorine and activated charcoal. The studywas an experiment with pre-test and post-test design. As a study sample were 45 wells that wereconnected with plumbing in that village. The results show that before the filtration, the average ofwater hardness was 270 mg/l, while post-filtration it was 44 mg/l (84%). Coliform pre-filtrationwere in a range between 111 and 1898 MPN per 100 ml, and after treatment they were between0 and 7 MPN. Statistically, the differences are significant (both p-values <0,001). To conclude,ZeRAK filter used in this study is effective to decrease water hardness and coliform.
Pemanfaatan Limbah Buah Jeruk sebagai Bahan Pupuk Organik Cair
Authors: Saragih Gustine Devi Novita , Amri Choirul , Fauzie Mohamad Mirza
Published: August 2022

In Yogyakarta City, the most waste comes from markets and settlements. One market that produceshighest waste is Kranggan Market which produces 95% of organic waste, containing vegetablesand citrus fruit waste. The purpose of this study was to determine the effect of ingredientscomposition of citrus waste on the chemical content (N, P, K and pH) of organic liquid fertilizer.The study was a quasi experiment with post test only design. The study data was analysedusing one way anova at 0.05 significant level, and the results show that the N content obtainedp-value 0.961, the P content was 0.962, the K content was 0.948, and the pH was 0.702. The Ncontent had the highest average at 2 kg, i.e. 0.08%; meanwhile the K content was at 3 kg composition,0.05%; and pH was at 3 kg composition, 3.7. It can be concluded that the all compositionshave not meet the required minimum standards, meanwhile the P content has fulfilledSNI 19-7030-2004 with standard >0.10%, i.e. at 1 kg composition has an average of 0.10%, at 2kg composition, of 0.11%, and at 3 kg composition, of 0,11%. It can be concluded that the overallliquid organic fertilizer from citrus fruit waste have not meet the 2004 Standards. Therefore, itadvised for subsequent studies to add raw materials consists of vegetables or fruit which containhigh levels of nitrogen, phosphorus and potassium.
Correlations between a Smoking Habit and Teeth, Gums and Lips Discoloration Issues on Active Smoker
Authors: Makaginsar Caecielia , Yuniarti Yuniarti , Irasanti Siska Nia , Salsabila Aliya , Kusumawardhani Tannia
Published: August 2022

According to the Central Statistics Agency, the percentage of smokers among Indonesians aged 15 years is relatively high. It was 32.20%, 29.03%, and 28.69%, in 2018, 2019, and 2020 respectively. Cigarettes contain tar that changes into a solid and builds up colored plaque when entering the mouth. Perpetual cigarette smoke causes brown pigmentation on the mucosa, known as smoker's melanosis. Smoker's melanosis is abundant in gums and lips. This study's objective was to analyze the correlations between a smoking habit with teeth, gums, and lips discoloration in an active smoker. This study was an observational analysis with a survey approach from January to May 2021 in Bandung. The sample was 100 males, consisting of 38 active smokers and 62 non-smokers as a comparison group. Data were analyzed by Pearson and Spearman test. This study shows a significant correlation between smoking habit and teeth discoloration (p=0.01), also shows a statistically significant correlation between a smoking habit and gum discoloration (p=0.00), and there is a significant correlation (p=0.00) between a smoking habit and lips discoloration. In conclusion, there is a correlation between a smoking habit and teeth, gums, and lips discoloration.
Brixia Score for Predicting Mortality and Length of Stay in COVID-19 Confirmed Patients at the Hospital in Bandung
Authors: Setiapriagung Dede , Tresnasari Cice , Yulianto Fajar Awalia
Published: August 2022

On March 11, 2020, the World Health Organization declared the COVID-19 pandemic. This disease damages the lung and resulting mild to severe pneumonia. This study aimed to determine the value of the Brixia score for predicting mortality and length of stay of COVID-19 confirmed patients. The study design was case-control with secondary data from digital medical records of COVID-19 confirmed patients (December 2020 to February 2021). All patients' chest x-rays (CXR) were scored using the Brixia score. Logistic regression and the Spearman rank correlation test were used to identify mortality and length of stay predictors. There were 636 subjects included in this study, with the proportion of deceased patients (case group) being 20.3% (95% CI=17.33, 23.59%). Most CXR findings had signs of pneumonia (95.1%), including ground-glass opacities (GGOs) mixed with consolidation. The distribution of GGOs and consolidation were most frequent in the peripheral of survived patients (83.9%), while the deceased group had peripheral involvements mixed with medial (45.0%) and bilateral (22.2%). The mean Brixia score in the group of decease patients was significantly higher than the group of survived patients (11.95 vs 6.73, p=0.00). Brixia score had an OR of 1.14, 95% CI=1.07, 1.21 after adjusting by age, SpO2 level, and comorbid. The chance of dying was higher than 50% if the Brixia score reached to score of 15 (probability=49%, 95% CI=41, 56%). However, the Brixia score has no significant correlation with length of stay (rho=0.05, p=0.24). In conclusion, the CXR Brixia score can predict mortality, but it can not predict the length of stay of hospitalized COVID-19 confirmed patients.
Relationship of Vitamin D Intake with Obesity in Adolescents
Authors: Lorensia Amelia , Suryadinata Rivan Virlando , Arganitya Gesti Nurulalita
Published: August 2022

Vitamin D deficiency is a problem worldwide, with the primary source of it being sun exposure, which activates the skin's vitamin D substrate. A diet lacking in vitamin D can put people at risk for obesity. The study aimed to determine the relationship between the risk of vitamin D deficiency and obesity in adolescents in Surabaya. It is a case-control research design conducted from March 2018 to January 2019 in a private university in Surabaya, East Java. Respondents were 200 students divided into two groups. The data collection method used the Food Frequency Questionnaire with Spearman correlation analysis to determine the relationship between vitamin D intake and obesity. The results are that the relationship between intake of vitamin D in food and obesity was very strong (0.816). The comparison between the two groups of respondents was 0.666, indicating that the non-obese group had an increased risk of vitamin D deficiency by 0.6 times compared to the obese group. There was a significant relationship between vitamin D intake in food and obesity. It is necessary to investigate further the intake of other foods and the factors that influence obesity in students.
Association between Serum Alpha-Synuclein Levels and Parkinson's Disease Stage
Authors: Syafrita Yuliarni , Susanti Restu
Published: August 2022

Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's. It is chronically progressive with the main symptoms of resting tremor, rigidity, bradykinesia, and postural disturbances. Lewy's body and Lewy's neurite are the main findings in brain biopsies of patients with PD. The main component is alpha-synuclein, a misfolding protein that plays an essential role in the pathogenesis of PD. This study aims to determine the association between serum alpha-synuclein levels during the PD stage and compare the levels between PD patients and healthy populations of the same age. A case-control study was conducted on 62 people with PD and 20 normal subjects as controls in the outpatient Department of Neurology of Dr. M. Djamil General Hospital and Ibnu Sina Islamic Hospital, Padang, from March to September 2020. The ELISA method examined serum alpha-synuclein examination, and the PD stage was assessed according to Hoehn and Yahr stages. The differences in alpha-synuclein levels between cases and controls and between stages of PD were analyzed by the Mann-Whitney test. Alpha-synuclein levels in PD patients were higher than in controls, and this difference was statistically significant (p<0.05). On the other hand, alpha-synuclein levels were higher in the severe stage than in the mild stage but not statistically significant (p>0.05). In conclusion, there was no association between alpha-synuclein levels and the stage of Parkinson's disease. Still, serum alpha-synuclein levels in PD patients were significantly higher than in the healthy population.
EDUCAÇÃO CORPORATIVA
Authors: Novaes Cristina Verônica Santos
Published: August 2022

O presente trabalho é resultado da pesquisa do Mestrado Profissional em Educação (PPGE) intitulada: EDUCAÇÃO CORPORATIVA NA UNIVERSIDADE ESTADUAL DE SANTA CRUZ: possibilidades de aprendizagens colaborativas. Teve como objetivo geral analisar a formação continuada dos analistas universitários da UESC que ingressaram na instituição a partir de 2011. A pesquisa foi fundamentada em Eboli (2004, 2014), Meister (1999, 2005), Freire (1996, 1997, 2011), além de outros estudiosos que discutem a importância da educação corporativa (EC) também foram analisados documentos oficiais da universidade como o Plano de Capacitação, a Resolução Consul 01 de 2007, o Plano de Desenvolvimento Institucional e no âmbito governamental, os Decretos da Carreira do Analista Universitário e a Lei de Instrutoria Interna, legitimando à formação continuada dos servidores públicos. O caminho metodológico adotado na pesquisa se configura como um estudo de caso, com abordagem qualitativa, respaldado em Gil (2009), Lüdke e André (1986) com a utilização dos instrumentos de análise de documentos, aplicação de questionário on-line desenvolvido através do Google docs, coleta de depoimentos e observação em três formações continuadas. Os participantes foram trinta e dois analistas universitários que atuam na UESC (63% do universo pretendido). O produto educacional resultou em um Seminário Interno On-line para apresentação dos dados aos analistas universitários e a administração superior da universidade. Os principais resultados obtidos com a pesquisa foram o levantamento do perfil acadêmico e profissional dos participantes, foram identificadas as metodologias adotadas pelos instrutores internos nos cursos da UESC, baseada nas concepções freirianas e nas Metodologias Ativas, a pesquisa oportunizou as falas dos analistas sobre a EC desenvolvida pela universidade, o que permitiu identificar algumas fragilidades, lacunas e indicação de melhorias.
Pengaruh Struktur Good Corporate Governance Terhadap Ketepatan Waktu Pelaporan Keuangan
Authors: Silvirianiti Ratih , Tumirin Tumirin
Published: August 2022

The purpose of this study is to examine the effect of corporate governance structure consisting of the Board of Directors, Independent Commissioners, Audit Committee and Audit Opinion on the timeliness of financial reporting. The population used in this study were all manufacturing companies listed on the Indonesia Stock Exchange (IDX), during 2016-2018. Total samples tested in this study were 105 samples that met the criteria as research samples. The analysis technique used is logistic regression analysis. The results showed that the Independent Commissioner had a negative effect on the timeliness of financial reporting. Whereas the Audit Committee and Audit Opinion do not affect the timeliness of financial reporting. The results of this study indicate that the timeliness of corporate financial reporting is influenced by the Board of Directors and Independent Commissioners