bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Quality Function Deployment (QFD) Pada Desain Smart Aquaculture Untuk Sektor Tambak Udang Vaname Berbasis IOT
Authors: Setiawan Budi , Surantha Nico
Published: May 2023

In entering the era of industry 4.0. where the internet world has the main role as a link to every device to collect and analyze data. Internet Of Things (IOT) technology can optimize previous technologies. In the fishing industry, Indonesia has the potential for fishery land in 2020 of 1,201,275 ha. The large area of water area in Indonesia has potential for aquaculture such as vannamei shrimp. Water quality such as pH, turbidity level and shrimp feeding schedule in ponds are closely related to shrimp health conditions. The existence of good water quality management can maintain water quality in order to increase pond productivity. Technology and information integration through paired IOT sensors will transmit data collected in the field to cloud computing via internet-based radio frequency networks through virtualization. This study aims to design a realtime IOT-based shrimp pond monitoring system. The Quality Function Deployment (QFD) method is a method that aims to plan and develop products according to needs and desires of consumers. This method begins with making a matrix of consumer needs and desires for the cultivation of Vaname Shrimp ponds. From this data a House of Quality matrix will be created which contains any technical interests needed. For the evaluation results of the questionnaire based on the analysis of the answers given by the respondents, the questionnaire that has been made can be used as a reference so that the proposed system design can be realized to overcome Vaname Shrimp ponds in order to improve the quality and quantity of vannamei shrimp harvest, cultivate effectively and efficiently, and facilitating the supervision of pond managers on pond water quality, feeding and feed availability.
Analisis Efektifitas Algoritma FAST Menggunakan Metrik Average Percentage Fault Detection dan Waktu Eksekusi Pada Test Case Prioritization
Authors: Maspupah Asri , Muharram Mumuh Kustino , Daeli Sophia Gianina
Published: May 2023

It uses regression testing to validate the modification results so as not to cause new errors in features that are already functioning correctly. The implementation of regression testing is generally done by re-executing the test suite used in the previous test. One of the crucial issues in regression testing is determining a strategic approach to reuse existing test suites. Testing with retesting all test cases will result in a long and expensive test. Thus, it is necessary to use a test case selection approach. The research study focuses on analyzing the effectiveness of the FAST algorithm, namely the FAST-pw and FAST-all algorithms, for executing test cases based on priority. The research method uses experiments through running algorithms on test cases that have been implanted with faults in the software with a test case size of 10,000 to 20,000 lines of the program. The effectiveness parameter uses the test case execution time and the percentage of fault detection using the average percentage fault detection (APFD) metric. The results showed that the FAST algorithm, namely the FAST-pw and FAST-all algorithms, had good effectiveness values ​​when applied to TCP testing with small to medium-sized SUTs, namely test cases that tested 1,000 – 20,000 program lines.
Evaluasi Usability Pada Sistem Website Absensi Menggunakan Metode SUS
Authors: Rachmawati Isnaeni , Setyadi Resad
Published: May 2023

Information technology (IT) is currently experiencing rapid development and is able to provide convenience such as solutions for organizations such as implementing a system at the Serayu Citanduy Water Resources Management Office, namely the field employee attendance website system. This system functions to monitor and provide services related to the field of employee attendance. However, there are still obstacles, namely the lack of attention to usability aspects, one of which is that there are still several features and buttons that have not been completed. Therefore, this study aims to evaluate usability related to the field employee attendance website system using the System Usability Scale (SUS) method. The SUS method is useful for assessing a system from a usability perspective by evaluating it as in this study. The research data was obtained by distributing questionnaires to 56 users. Before carrying out calculations using the SUS method, first calculate validation and reliability, validation of this questionnaire produces valid results and reliability, namely 0.613 means that it is reliable, so that research can run well. the level for the Value Scale is on a D scale with an average final score based on the calculation of the SUS method, namely 58.35 and the position of the last adjective branch is at the "ok" level. make improvements to improve usability such as developing by paying attention to the user interface, completing and selecting features on the button so that it functions properly and needs to be evaluated.
Penerapan Multiply With Carry Generator pada Proses Pembangkitan Kunci Algoritma Beaufort Cipher
Authors: Zebua Taronisokhi
Published: May 2023

The strength of the algorithm used in data security does not only depend on the complexity of the algorithm used, but lies in the randomness and complexity of the key solving used. The repetition of the same character in the formation of a key used by a data security algorithm is very vulnerable to attack, because it can make it easier for attackers to break the algorithm itself. One of the commonly used data security algorithms is the comfort cipher algorithm. The number of key characters needed in this algorithm is directly proportional to or equal to the number of characters of text or data that is secured. Using a number of key characters like this allows the repetition of the same characters, making it easier for attackers to find out the pattern of the keywords used. Based on this, random key generation is necessary to optimize the robustness of the algorithm used. Multiply with carry generator is a random number generation technique that has advantages in speed and length of randomization cycle so that it has more seed variations to the generated random numbers. This study describes how to apply this random number generation method to generate keywords used in the beaufort cipher algorithm, so that the keys used can be more optimal and more complicated for attackers to crack.
Analisis Segmentasi Recency dan Customer Value Pada AVANA Indonesia Dengan Algoritma K-Means dan Model RFM (Recency, Frequency and Monetary)
Authors: Jordy Muhammad , Triayudi Agung , Sholihati Ira Diana
Published: May 2023

Avana Indonesia is a social commerce startup headquartered in Malaysia. Wanting to expand their business and enter the Indonesian market, they still don't have the best marketing strategy in place, so a service sales deal is not enough. That's why we need a marketing strategy that focuses on customers with customer relationship management, one of which is customer segmentation. Customer segmentation can be done by implementing a data mining process which is carried out using the K-Means clustering algorithm based on the RFM (Recency, Frequency, Monetary) model. The number of clusters in the clustering process is determined using the elbow method. Cluster analysis based on customer value using the recency clustering method reveals active, warm, cold, and inactive customers. Then the two from recency frequency (customer value) segmentation produce common, ultra-high, low, and high clusters.
Pazarlamada Yeni Paradigma: Fijitalleşme
Authors: TAŞKIN Dildar , KAHRAMAN Hamit , TAŞKIN Ercan
Published: May 2023

İçinde bulunduğumuz çağın beraberinde getirdiği teknolojik gelişmeler ve yaygınlaşan internet kullanımı yepyeni bir pazarlama paradigmasının oluşumuna sebep olmuştur. Geleneksel ve modern pazarlama kavramlarının yanına, fiziksel ve dijital konseptlerin birlikteliğinden meydana gelen fijitalleşme kavramı da eklenmektedir. Bu çalışmada, ilk olarak paradigma ve paradigmanın değişimi kavramları açıklanmış ve daha sonrasında bir paradigma değişimi olarak fjitalleşme kavramına, geçmiş literatür incelenip bir araya getirilerek bütüncül bir biçimde yer verilmiştir. Fijitalleşme kavramı kapsamlı bir biçimde mercek altına alındıktan sonra elde edilen bulgularla bu kavrama ilişkin lokal ve global örneklere yer verilmiştir. Bu kapsamda fijitalleşme kavramının firmalar açısından önemine değinilmiştir.
The Process of Change in the Understanding of Planning in Turkey by Periods
Authors: BABAYİĞİT SUNAY Ezgi
Published: May 2023

In this study, the changing process of planning understanding in Turkey from the past to the present has been evaluated in terms of periods. The study has evaluated the agriculture-industrial-oriented change of the planned development steps implemented since the Ottoman Empire period and the political and economic factors affecting this change.

The State Planning Organization (SPO) and development plans prepared by it, which played an essential role in determining the government policies that have been in power since the 1960s, and industrial plans before the 1960s have been the reference sources that will help the subject.

According to the research, the understanding of planning in Turkey coincides with the political thought shaped by the influence of internal and external cyclical factors. At this point, it is seen that the theoretical frameworks prepared are policies that are compatible with the economic and political perspective of the period and that the deteriorated financial balance and stability depend on the success or failure in implementation regardless of the plans.
Pendekatan Kelas Berbalik bagi Subjek Matematik Awal dalam Proses Pengajaran dan Pembelajaran
Authors: Othman Nor Hazirah , Mohamed Suziyani
Published: May 2023

Pengaplikasian dan pengintegrasian TMK dalam meningkatkan kualiti pengajaran dan pembelajaran di Malaysia mula di tekankan. Kajian ini dijalankan untuk mengenal pasti tahap penerimaan guru pendidikan awal kanak-kanak dalam mengaplikasikan pendekatan kelas berbalik bagi subjek Matematik Awal dalam proses pengajaran dan pembelajaran (PdP) serta mengetahui tahap pengintegrasian teknologi guru. Kajian ini juga mengkaji adakah terdapat hubungan antara tahap penerimaan guru dalam mengaplikasikan pendekatan kelas berbalik bagi subjek Matematik Awal dengan tahap pengintegrasian teknologi guru dalam proses PdP. Kajian dijalankan menggunakan pendekatan kuantitatif menggunakan reka bentuk kajian tinjauan. Responden kajian terdiri daripada 130 orang guru pendidikan awal kanak-kanak dari di negeri Selangor. Dapatan kajian menunjukkan penerimaan yang positif oleh guru pendidikan awal kanak-kanak dalam mengaplikasikan pendekatan kelas berbalik bagi subjek Matematik Awal dan tahap pengaplikasian teknologi guru berada pada tahap sederhana. Tidak terdapat hubungan yang positif dan signifikan antara penerimaan guru dalam mengaplikasikan pendekatan kelas berbalik bagi subjek Matematik Awal dengan tahap pengaplikasian teknologi guru dalam proses PdP. Dapatan kajian ini dapat digunakan sebagai rujukan kepada pembangunan pendidikan awal kanak-kanak yang menjurus ke arah pengintegrasian teknologi dalam proses pendidikan serta membantu menjelaskan tahap pengintegrasian teknologi dalam kalangan guru prasekolah.
SOSIALISASI TENTANG PENTINGNYA KESADARAN DALAM MEMBERIKAN PERSEMBAHAN KEPADA TUHAN DI JEMAAT GKSI PELITA HARAPAN LEMBOKODI
Authors: Ndruru Emanuel Kristinus , Susanti Devi Kristi , Salome Salome , Kahali Umbu Ndapa
Published: May 2023

Berdasarkan penelitian observasi yang dilakukan, masih banyak anggota jemaat GKSI Pelita Harapan Lembokodi yang tidak memberikan persembahan secara benar karena faktor ekonomi. Permasalahan yang dihadapi ini yang mendorong dilakukan kegiatan pengabdian terhadap jemaat di gereja GKSI Pelita Harapan Lembokodi sebagai upaya meningkatkan kesadaran jemaat yang berada di lembokodi. Walaupun seperti itu, masih terdapat kekurangan yang perlu menjadi bahan evaluasi gereja, karena tampak bahwa penghayatan jemaat terhadap berkat Allah yang kurang seimbang dengan pengetahuan mereka tentang memberikan persembahan. Kondisi yang demikian harus menjadi bahan evaluasi bagi gereja. Metode yang digunakan dalam menulis artikel penelitian ini adalah wawancara kepada jemaat dan studi kepustakaan untuk mendukung data secara valid. Pada kegiatan sosialisasi ini membutuhkan 2 (dua) tahapan untuk mendapatkan hasil yang lebih baik. Hasil yang diperoleh setelah kegiatan ini dilakukan, menunjukkan bahwa adanya perubahan sikap kesadaran jemaat dalam memberikan persembahan kepada Tuhan. Tujuan dari kegiatan ini adalah menjawab tentang pentingnya kesadaran serta mengarah pada keadaan jemaat di sana, dengan memperluas pengetahuan, serta membicarakan tentang cara yang bisa menolong jemaat untuk meningkatkan kerohaniannya agar bertumbuh dan berakar di dalam pengenalan akan Yesus Kristus.
MEMLÛK DÖNEMİ’NE AİT 15. YÜZYILDA YAPILMIŞ BİR PİRİNÇ LEĞEN
Authors: KİRENCİ Meryem Aysu , ÖZKEÇECİ İlhan
Published: May 2023

Maden sanatı tarih boyunca önemli olan bir sanat dalı olarak karşımıza çıkmaktadır. İslamın doğuşunun, köklü bir geçmişi bulunan maden sanatının önceki sanatsal biçimlerini etkilediği bilinmektedir. Aynı zamanda İslam Devletleri, kendilerinden önce var olmuş ve çağdaşı oldukları İslam Devletlerinin maden sanatlarına savaş, ticaret, göç gibi çeşitli sebeplerle katkı sundukları bilinmektedir. Birbirleriyle olan etkileşimleri, zaman içerisinde oluşup aktarılan bir geleneksel maden sanatı anlayışının oluşmasını sağlamıştır. 13. yüzyılda kurulmuş olup İslam devletleri içerisinde önemli bir konumda yer alan Memlûk Devleti’nde yapılmış maden işleri, dönemin maden sanatının yüksek gelişmişlik düzeyine sahip olduğunu göstermektedir. Diğer devletlerde olduğu gibi Memlûk Dönemi’nde de Maden Sanatının başta mimari olmak üzere birçok alanda kullanıldığı görülmektedir. Bu alanların önemli bir kısmını kullanım eşyaları oluşturmaktadır. Kullanım eşyaları, ihtiyaçlara uygun ve farklı pek çok beklentiyi karşılayacak bir şekilde İslam kültürüyle harmanlanmaktaydı. Bu eşyalarda genel anlamda en dikkat çeken unsurların ise kitabe, arma ve süslemeler olduğu gözlemlenmektedir.

15. yüzyıla gelindiğinde iyi durumda olmayan ekonomi, kullanılan malzeme ve tekniklere de yansımıştı. Özellikle Sultan Kayıtbay Devri’nde ekonomik anlamda iyileşmelerin olmasıyla beraber desteklenen sanatın tekrardan canlanarak oldukça ileri bir düzeye ulaştığı bilinmektedir. Sultan Kayıtbay zamanında maden işlerine dair de güzel örneklerin verildiği günümüze kalan eserlerden anlaşılmaktadır. Bu örneklerden birisi de araştırma konumuzu teşkil eden bir pirinç leğendir. Araştırmada temel olarak bahsi geçen pirinç leğene dair ayrıntılı bir analiz yapılarak süsleme programı incelenmiştir. Pirinç leğenin üzerinde bulunan unsurlardan yola çıkılarak dönemin ve sanat anlayışının genel özelliklerine ulaşmak amaçlanmıştır. Bu makalede tarihsel yöntem ve göstergebilimsel bir yaklaşımla nitel betimsel analiz yöntemi kullanılarak pirinç leğen üzerinden bir değerlendirme yapılmıştır.
Finding an optimized flight path for an UAV to seed a fire affected area.
Authors: Kaushikkar Abhishek , Whitman Joshua
Published: May 2023

Fires have devastated and cleared many areas of vegetation, and much of the terrain impacted is inaccessible by foot. As a result it is difficult and inefficient to re-seed these areas from the ground. One way of getting around this problem is by using an Unmanned Aerial Vehicle(UAV). Aerial vehicles are not hindered by topographical and organic features. However UAVs cannot remain in flight for extended periods of time. To maximize the UAVs potential, steps must be taken to limit its flight time. Our paper aims to find an algorithm that computes the most energy efficient path for the UAV to follow in order to re-seed the fire cleared areas in a forest and we calculate based on a few constraints. These constraints being that the UAV can only seed a circular area with a fixed radius, the UAV can translate in straight lines, the area is an N*N square, and the terrain varies in altitude, and the UAV translates at a constant velocity. We first calculate an array of nodes that the UAV can seed over, to get maximum coverage of the un-vegetated areas in the field. We then test three different algorithms to find the path that consumes the least amount of energy, based on our energy consumption model. We then compare the algorithms based on the energy consumption of their calculated paths, and their computation time.
The Effects of Diisononyl Phthalate Exposure on Colorectal and Leukemia Cancer Cell
Authors: Wang Yuxin
Published: May 2023

Phthalates (PAEs), also known as phthalates, are collectively known as phthalimide esters and are mainly used as plasticizers (plasticizers), added to plastics to enhance elasticity, transparency, durability and longevity. Diisononyl phthalate (DiNP), a type of PAEs, is commonly used in a large variety of plastic items, and is listed as a substance "known to the State of California to cause cancer" under Proposition 65 legislation. PVC plastics have become ubiquitous in our modern society. DiNP leaches from PVC-based consumables, eventually leading to deposition. DiNP leached from consumables can eventually be deposited in certain tissues through inadvertent application. Studies on cancer cells leukemia cancer cells and colorectal cancer cells have demonstrated health risks in human populations exposed to DiNP,  including endocrine disorders, reproductive damage, and tumorigenesis. In this research, we studied the effect DiNP causes on the leukemia cancer cell and colorectal cancer cell. The results show that DiNP has a proliferative effect on immune cells and an inhibitory effect on colorectal cancer cells. We do not know what specific pathway or mechanism DiNP could activate; However, it is highly likely that DiNP causes damage because it can trigger the proliferation of immune cells, or lesions, by modulating some of the organelles or receptors in immune cells. This effect is beneficial in non-immune cancers, but harmful in cancers that’s immune cell related, in this case, leukemia.
Music as Medicine: Music Therapy’s Effect on Cognitive Performance
Authors: Hosanagar Inchara
Published: May 2023

In a clinical setting, music therapy has been shown to improve cognitive function and improve mental health in some patients who are suffering from psychiatric symptoms. It is one of the non-pharmacological approaches to treating a range of disorders. With a long history of use, music therapy has been shown to improve cognitive function by interacting with a variety of different brain functional networks and cognitive domains. I will discuss the various mechanisms of music therapy, the advantages of music therapy's influence on neural plasticity, and some studies that are currently being done about music therapy and cognition in this paper, with an emphasis on an improvement in cognition. Numerous studies have shown that music therapy can slow cognitive deterioration, particularly in the areas of global cognition, psychomotor speed, executive function domains, and autobiographical and episodic memories. A promising intervention for the treatment of various illnesses and disorders is music therapy. However, additional data from prospective, randomized, blinded, consistent, and methodologically focused investigations are required.
Combining CAR T-cell and immune checkpoint inhibitor therapy, a promising, yet unproven immuno-oncology approach
Authors: Polavarapu Kshetra , Shroka Thomas
Published: May 2023

Chimeric antigen receptor (CAR) T-cell therapy is a method that extracts T cells from the patient's blood and virally introduces a genetically engineered T cell receptor targeting a specific cancer antigen and subsequently readministering these genetically engineered CAR T cells to the patient. These T cells are then better at identifying the tumors and attaching to these tumor cells resulting in a stronger cytotoxic immune response. The development of CAR T cells has been a huge success as an immunotherapy, especially for the targeting of non-solid tumors. Since their original inception in 1987, there are now six independent FDA approved CAR T cell therapies targeting a variety of blood cancers, with the first being approved in 2017. As a relatively new treatment, there is a continuous effort in improving the safety and efficacy of CAR T cell therapies. As mentioned previously, CAR T cells have undoubtedly been successful in the treatment of non-solid tumors, however their efficacy towards treatment of solid tumors has been limited. Additionally, the safety and long-term effects of CAR T cell treatments is still a concern. Combination therapy utilizing CAR-T cells and immune checkpoint inhibitors is being explored to potentially mitigate some of the limitations associated with CAR-T cells.
Application of Convolutional Neural Networks to Classify Ambiguous Categories
Authors: Rai Arjun , Goldsztein Guillermo
Published: May 2023

Neural networks are often used for classifying images of specific objects, people, animals, and other objects of interest because of their ability to find particular patterns for categories. In this paper, we apply a Convolutional Neural Network (CNN) to classify images from a dataset of 4 semi-ambiguous classes and compare the scores of different architectures of neural networks and how different preprocessing techniques can affect their performance.
Do We Inherit or Create Our Personalities? A Review and Analysis of the Evidence
Authors: Yu Zhichun , Pyland Kimberly
Published: May 2023

There has been an ongoing debate about whether personality is inherited through genes or created through the environment. This article addressed the issue by analyzing three research articles about the heritability of a particular personality trait through research methods, limitations, and known information. Common patterns and trends seen in the three articles were then investigated and applications of the studies, as well as the relevance of those studies, were examined. The first study is a twin study that examined the heritability of the environmental sensitivity trait and examined its genetic overlap with traits in the big 5 personality traits. The second study is a molecular behavioral genetics study that examined how dopamine-related genes and environmental factors such as stressful life events and parental warmth contribute to the development of a highly sensitive personality. The third study is a longitudinal sibling study that examined how parenting behaviors can affect adolescent responsibility and young adult conscientiousness. From the three studies above, it is clear that in general, personality traits have relatively high heritability. However, genes are not the only thing that influences personality. Non-shared environmental factors also contributed significantly to the development of personality, especially to the variations of personality traits. Certain genes may be expressed only when an environmental condition is met. It is the interaction between genes and the environment that shapes the development of personality and makes individuals who they are.
Analyzing the GPT-3 AI’s Ability to Predict the Answer to Algebraical Questions
Authors: Novak Daniil
Published: May 2023

AI Algorithms have been getting increasingly smart and complex since their conception. The Most Modern AI’s currently available are able to solve incredibly complex problems and are even able to solve abstract problems. It is only a matter of time until AI is able to supersede humans in Mathematical Calculations. (MGI et al. 2022). In this paper we took the most advanced AI currently available for commercial usage, GPT-3, and programmed it to use randomly generated mathematical input in order to test its solving abilities. By feeding this input, we evaluated whether the AIs ability to solve problems is solely based on complexity. We, however, found out that AI was also influenced by the type of operation. The distance and similarity metrics of many different AI Generated answers were taken and then compared with the actual ones.We conducted a series of T-tests to determine which results are statistically significant. We found out that the type of arithmetical expression in the problem, which was either addition, multiplication, division or subtraction, was significant (p=.0000027), suggesting that the type of problem matters more than previously expected.
Type 1 Hemochromatosis: A Review of the History, Inheritance and Treatment of Iron Overload Disorder
Authors: Pyle Elizabeth , Morneault Valerie
Published: May 2023

Hereditary hemochromatosis (also known as type 1 hemochromatosis, iron overload disorder, or the Celtic Curse) is a genetic disorder characterized by an autosomal recessive inheritance pattern. This review project focused on gathering comprehensive data about the history, causes, inheritance, diagnosis, and treatment of iron overload disorder. Through such research, it was discovered that type 1 hemochromatosis may occur due to one of two nucleotide sequence changes (either the C282Y mutation or the H63D mutation) in the HFE gene, which codes for the construction of the homeostatic iron regulator protein and regulates production of the hormone hepcidin. As a result of these mutations, individuals affected by hemochromatosis have elevated iron levels and excess deposits of iron in tissues and organs. Such deposits may cause a variety of symptoms and complications, including fatigue, skin discoloration, heart failure, cirrhosis, liver cancer, and diabetes. Hemochromatosis is one of the most common genetic disorders in the world, affecting one in every three hundred individuals. The majority of hemochromatosis patients are of northern European descent. Currently, there is no cure for type 1 hemochromatosis; however, the primary treatment method for this disorder is phlebotomy. Due to the widespread prevalence of the disorder, researchers continue to explore experimental treatment methods, including gene therapy and iron chelation therapy.
Sentiment analysis on Amazon Product Reviews
Authors: Saridena Aman
Published: May 2023

Sentiment Analysis refers to analyzing text in order to determine the sentiment or opinionthat the text is supposed to convey. In this article, the text that is being analyzed are Amazonproduct reviews taken from Kaggle’s Amazon Reviews Dataset, and the predicted sentiment iswhether or not the reviewer liked or disliked the product.
Intraspecific variation within Viola pubescens Regionally and Locally
Authors: Wang Miru
Published: May 2023

Viola pubescens, the downy yellow violet, is a common species of plant found across the eastern North America. My research focused on the intraspecific variation within the two varieties of viola pubescens: Viola pubescens var. pubescens and var. scabriscula. I examined the climate and trait data of the two varieties across the United States (regionally), and compared the trait variation of the two varieties within Indiana (locally) between sites that are just a few miles apart. The result indicated that on a regional scale, the two varieties of viola pubescens are not of significant differences in their climate or traits. However, this can also mean that variables other than trait and environmental factors have affected the two varieties. Between local sites, differences were found between the fruit color and hairiness. The local site, Lower Cascades, only produced green fruit with no hair. While other sites showed variation in fruit color (ranging from green to purple) and hairiness (amount of hair present on the fruit), Lower Cascades have no variation in its fruit phenotype. This could lead to further study of the genetic variation across viola pubescens and its varieties. By having an exceeding understanding on the strucutre of the variation within viola pubescens, we can better visualize the scale at which plants are adapting and responding to their environment.
A Method of Disentanglement of Latent Factor using Geometric Feature for Gaze Estimation Network Training
Authors: Ko Seung-woo , Park Bo Kyoung
Published: May 2023

Since each human eye has different anatomical features, gaze estimation is a very challenging task. Although numerous studies regarding gaze estimation were proposed, there is a need for improving the preciseness in order to facilitate the application of the method to real-world scenarios. To accomplish this goal, I propose a novel training strategy for gaze representation learning. The proposed training method includes two training phases: the autoencoder-based representation learning phase and the gaze estimation network training phase. The proposed training strategy enforces the trained model to disentangle the gaze-related latent code and produce a more accurate gaze estimation. In addition, I also propose and showcase a real-world application that exploits the proposed method in order to prove the practicality of the proposed method. Through the experiment, it is proven that the proposed method shows an outstanding performance compared to other methods on the Gaze360 dataset.
Chalcones and Carbon Dots as Emerging Breakthroughs in Glioblastoma Multiforme Treatment
Authors: Travieso Erika
Published: May 2023

Glioblastoma Multiforme (GBM) is a very aggressive brain tumor that is resistant to treatment and has a diverse population of genetically unstable, deeply infiltrating cells. Although significant efforts have been made to find new anti-GBM drugs, these efforts have largely been unsuccessful in human trials because of problems with effectiveness, selectivity, or physicochemical properties. The successful eradication of GBM stem cells (GSCs) is of high priority because GBM stem cells are in charge of patient relapse and tumor regrowth after therapy. The analysis of five published science journals has led to the conclusion that utilizing chalcones as the treatment for Glioblastoma and carbon dots as the carriers could change the approach to curing Glioblastoma. All of the authors examined have either conducted research with chalcones and carbon dots, or have reported their effectiveness from other published papers. The purpose of this paper will be to bring awareness to the potential of chalcones and carbon dots, seeing as they have been scarcely mentioned in the literature regarding Glioblastoma research.
The Effect of Audio-Visual Cues in Understanding Musical Performance
Authors: Kim Julie , Pellegrino Nicholas
Published: May 2023

This study investigated the effects of adding visual aesthetics to a music performance. Two modes of visual performance are explored: multimedia and performance cues. Multimedia and performer cues serve different purposes in expressing music in a performance and allowing the audience to interpret the music. Multimedia refers to the use of more than one medium of expression or communication in performance, while performance cues refer to the implementation of gestures and facial expressions to guide the direction of the music. In this research study, two experiments were performed with two separate samples of 24 subjects.  These experiments observe the two modes' effects on engagement, understanding, and overall enjoyment of the performance by their audience. Participants were required to listen to the audio performance of an excerpt of music and listen to the same excerpt with the visuals as well. The subjects answered a series of questions rating the listening and watching experience. The results overall showed that having the visual experience while listening to a musical performance enhances the subjects engagement, enjoyment and understanding of the music. A wilcoxin ranked sum test was performed on the two different parts of this experiment and the p values were 0.0486 and 0.00148, which showed that there was enough statistical evidence in the experiment that showed engagement levels were higher when both audio and visual modes were provided to the audience.
Efficacy and Potential of Stem Cell Therapy for Alzheimer’s Disease
Authors: Hussain Yusuf , Agarwal Poonam
Published: May 2023

Alzheimer’s Disease (AD) is characterized primarily by the buildup of beta-amyloid plaques and tau proteins. It is a very common neurodegenerative disease that is marked by cognitive decline, neuronal and synaptic loss. AD pathology is not fully understood and there is currently no cure. The disease is terminal and devastates the lives of many. Stem cell therapy involves the use of stem cell’s properties of regeneration and repair to reverse the damage of many diseases. The application of stem cell therapy to AD seems to have the promise to mitigate and reverse the onset of AD. Animal models have displayed the effectiveness of stem cell therapy towards AD by improving cognitive performance and promoting neurogenesis. The abilities and applications of stem cell therapy seem to be highly promising despite having bottlenecks. The difficulties in controlling differentiation due to complexities in controlling the process is the primary issue presented. With the use of stem cell therapy for AD, it is also possible to adapt the technology to various other neurodegenerative diseases and various diseases overall.
Effects of Quantum Mechanical Properties of Complex Systems on Advanced Technological Applications in Japan
Authors: Yamada Naoko
Published: May 2023

Purpose: This study investigates the effects of quantum mechanical properties of complex systems on advanced technological applications in Japan.

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

Results: The literature review and research findings highlight the significant effects of quantum mechanical properties of complex systems on various technological applications in Japan. The study reveals that quantum entanglement, quantum coherence, and quantum interference can be exploited for quantum computing, quantum communication, quantum sensing, quantum cryptography, quantum metrology, and other advanced technologies. The study also discusses the challenges and limitations of utilizing quantum mechanical properties in technological applications, such as decoherence, environmental interactions, and technical feasibility.

Recommendations: This study offers a unique contribution to understanding the effects of quantum mechanical properties of complex systems on advanced technological applications in Japan. The research advances the knowledge in the field of quantum information science, quantum technology, and interdisciplinary research between quantum mechanics and technology. The findings provide insights into the potential applications of quantum mechanical properties in various technological fields, and their implications for theory, practice, and policy. The study has practical implications for researchers, engineers, policymakers, and industries involved in quantum technology research and development in Japan and beyond, guiding the future direction of quantum technology innovation and policy formulation
Early Warning System on Motorcycle Rider Helmets Using Gyrescope Sensors
Authors: Azima Khusnul , Adani Arifah , Setiawan Herry
Published: May 2023

At this time transportation is one of the important things in human life activities. One of the most widely used transportation is two-wheeled vehicles, especially motorcycles. According to the Ministry of Transportation (Kemenhub) reports that in 2021 the number of accidents caused by drivers who are drowsy is 2,140 incidents. This condition encouraged the author to design an anti-drowsiness helmet to reduce the number of accidents and avoid the possibility of accidents due to drowsy driving. The result of this study was that this tool can provide notification in the form of an early warning to motorbike drivers who are indicated to be drowsy by using a vibrating motor. If the head moves on the front, which is the Y axis 300°-360° and on the X axis the right side 20°-60° and on the left side 300°-335°, then the helmet will vibrate. If the Y and X axes of the helmet are in the normal position, the vibration will automatically turn off, and the helmet will return to normal.
Role of AI in Business Management
Authors: Pendy Bimalendu
Published: May 2023

The article discusses the increasing applications of AI in business management. In sales and marketing, AI-powered tools can help businesses understand customer needs, create personalized marketing campaigns, and improve customer engagement. AI is also revolutionizing supply chain management, improving efficiency, and agility by analyzing real-time data. Customer service is also transforming through AI-powered chatbots that handle routine queries, allowing human agents to focus on more complex issues. In financial analysis, AI provides accurate and timely insights into financial performance, risk management, and investment opportunities. The article also highlights the benefits of AI, including increased efficiency and productivity, improved accuracy and precision, and better customer experience. It also addresses some challenges of AI in business management, such as data quality and availability, skills and expertise, cost, ethics and bias, and integration with existing systems. Finally, it discusses the future potential of AI in business management, such as predictive analytics, personalized marketing, chatbots, and process automation.
Sentiment Analysis of Twitter Cases of Riots at Kanjuruhan Stadium Using the Naive Bayes Method
Authors: Katiandhago Bryan Jerremia , Mustolih Akhmad , Susanto Wachyu Dwi , Subarkah Pungkas , Satrio Nugroho Chendri Irawan
Published: May 2023

Sentiment analysis is a process carried out to analyze opinions, sentiments, judgments, and emotions from the riot case at the kanjuruhan stadium. The purpose of this research is to find out public opinion about the tragedy that is currently happening at the Kanjuruhan Stadium. the data was obtained from social media Twitter using the Twitter API, then after that, an analysis was carried out. data from the results of the analysis will be classified using the Naive Bayes method. The classification process is divided into 7 (seven) stages, namely Crawling, Cleansing, pre-processing, labeling, classification, data training, and data testing. In the labeling process, data is classified into 2 (two) classes, namely the positive class and the negative class. The data obtained before the preprocessing process was 1963 tweets, after the preprocessing the data obtained was 1001 tweets. The data will be trained and tested using the naive Bayes classification method. classification results obtained precision values of 82% for negative data and 65% for positive data, recall values obtained 74% for negative data and 75% for positive data, F1-score values obtained 78% for negative data and 70% for positive data, while accuracy value obtained 74%.
Analisis Usahatani Sayuran Selada Hijau (Lactura sativa L.) Hidroponik Nft (Nutrien Film Techique) Di Kecamatan Sukorejo Kabupaten Kendal
Authors: Sulistyowati dan   Wiharso Ragil Ra’is Raharja,
Published: May 2023

ABSTRAKPenelitian ini bertujuan untuk mengetahui: (1) besarnya pendapatan usahatani sayuran selada hijau hidroponik cara NFT: (2) kelayakan finansial usahatani sayuran selada hijau hidroponik dengan cara NFT. Yang dilakukan pada bulan Januari-Juni 2020 di Kecamatan Sukorejo Kabupaten Kendal. Metode penelitian ini bersifat deskriptif, dengan menggunakan metode penelitian sensus, jumlah responden sebanyak 46 orang. Analisis penelitian meliputi pendapatan bersih serta kelayakan meliputi Biaya Produksi, Penerimaan, Pendapatan, Kelayakan RC Ratio, ROI, dan Pay Back Periode. Hasil Penelitian menunjukan: (1).Pendapatan usahatani sayuran selada hijau hidroponik dengan cara NFT Rp 276.032636. selama 1 tahun (2). Kelayakan RC Ratio 3,00. ROI=166%. Pay Back Periode=1,6 tahun. BEP (Rp) 9.767,56harga di pasaran Rp 26.000. Sehingga dapat disimpulkan: Usahatani sayuran selada hijau hidroponik dengan cara NFT mengguntungkan dan layak diusahakan.
DESCOBRINDO A CULTURA TURÍSTICA E ALIMENTAR DO OESTE PAULISTA
Authors: Alves Ana Luisa Granado Potinatti , Endo Gustavo Yuho , Curtinovis Julia Bergamaschi , Paschoalotto Marco Antonio Catussi , Ventura Yannick Noah
Published: May 2023

A região do Oeste Paulista possui potencial turístico e alimentar. Apesar disso, há um difícil alinhamento entre os municípios da região, de forma a não desfrutar de todo esse potencial. Visando suprir essa lacuna no mercado e na academia, esse estudo tem como principal objetivo elencar os principais potenciais turísticos e suas redes de colaboração da região do Oeste Paulista. Para atingir o objetivo desejado, o estudo utilizou da revisão bibliográfica da área de desenvolvimento gastronômico regional e levantamento documental dos principais relatórios técnicos. Além disso, foram realizadas 6 entrevistas com experts da cultural e gastronômica da região. Os resultados demonstraram que: a) os principais potenciais turísticos e gastronômicos do Oeste Paulista estão vinculados aos rios que as perpassam; b) a gastronomia turística também é influenciada pelo potencial agropecuário regional, com destaque para a carne bovina e a batata doce; c) não há um consenso entre as principais ações que devem ser tomadas para fomentar a cultura turística e alimentar do Oeste Paulista; d) há um baixo conhecimento sobre produções agrícolas alternativas e com representativa estadual e nacional, como cogumelo e macadâmias. Por fim, o estudo desenvolvido abre espaço para novas pesquisas na área gastronômica e turística, com foco no desenvolvimento regional.
Implementation of Intelligent Navigation System for Shopping using Smart Robots
Authors: E. Swathi  , S. Sivasangari  , M. Priyadharshini  , B. Sangeetha  , B. Sujitha
Published: May 2023

The development of a path finding algorithm-based intelligent navigation system for a smart robot shopping cart is an exciting project that has the potential to revolutionize the retail industry. With the integration of advanced path finding algorithms, the system will be able to navigate through the store independently, avoiding obstacles and dynamically changing its course to provide customers with a seamless shopping experience. The inclusion of personalized product recommendations and store layout details will help customers find the products they need more quickly and efficiently. Additionally, the system's user interface will provide an interactive shopping experience for customers, making the process more engaging and enjoyable. By automating the shopping cart, the system will also alleviate the workload of store personnel, freeing them up to focus on other important tasks. This could lead to a more efficient and cost-effective retail operation, which may translate into cost savings for both the retailer and the customer. Overall, the successful implementation of the project could significantly enhance the shopping experience for customers, potentially leading to increased customer satisfaction and loyalty. The project could also have broader implications for the retail sector, as other retailers may seek to adopt similar technology to remain competitive.
Extraction of Ayurvedic Herbs and Benefits using Deep Learning Algorithms
Authors: Sunitha S  , Shiva Kumar N  , Swathi  , UT Shravani  , Sudha Rani
Published: May 2023

This study aims to explore the potential of deep learning algorithms in identifying and extracting Ayurvedic herbs and evaluating their benefits. The study proposes a deep learning model for extracting the herbs from images and identifying them using their unique features. The proposed model utilizes Convolutional Neural Networks (CNNs) to extract features from images and classify them based on their features. The model is trained on a large dataset of Ayurvedic herb images and validated using various performance metrics. The study also investigates the benefits of Ayurvedic herbs and their potential use in the treatment of various ailments. The benefits of Ayurvedic herbs are evaluated based on their traditional uses, scientific evidence, and clinical studies. The results suggest that Ayurvedic herbs have numerous health benefits, including anti-inflammatory, antioxidant, and immunomodulatory effects. The proposed model can be used for automated identification and extraction of Ayurvedic herbs, reducing the need for manual identification and improving the accuracy of identification. The study also highlights the potential use of Ayurvedic herbs in complementary and alternative medicine and suggests future research in this field.
Facing uncertainty: The role of the family in the development of identities
Authors: Barros Carlos
Published: May 2023

Families are agents of primary socialisation that influence the system of beliefs and attitudes regarding the perception of self and others, being crucial for the development of inclusive identity(ies) since childhood. Using the identification of cultural characteristics based on uncertainty avoidance, principles of resilience and the consideration of transnational families as an example to study interculturality, this paper intends to reflect on diversity as an advantage. It is suggested that the creation of empathy reduces social prejudices and thereby engenders a future with more equity.
Um brinquedo diferente na luta antirracista na educação infantil: o livro de literatura
Authors: Vieira Cecília Maria , Carvalho Thaís Regina de
Published: May 2023

Este artigo tem como foco os debates sobre educação antirracista na educação infantil. O objetivo consiste em: Analisar práticas pedagógicas antirracistas na primeira etapa da educação básica, em especial, as ações desenvolvidas a partir do projeto “Livro: um brinquedo diferente”. O referencial teórico está ancorado na epistemologia de autoras/es negras/os. Para isso, foi desenvolvida a pesquisa de cunho qualitativo, junto à turma de crianças, a partir de quatro anos de idade, em um Centro Municipal de Educação infantil de Goiânia. Os dados foram obtidos por meio dos registros dispostos no Portfólio Digital, construído pelas crianças, suas famílias e a professora. Os resultados identificaram o livro como um brinquedo, um bem social e um direito de todas as crianças a despeito da idade, classe social e raça-etnia. Assim, este artigo compartilha os resultados do referido projeto, os quais apontam que o livro de literatura infantil se constitui como uma possibilidade para subsidiar a luta antirracista, o cumprimento da Lei n.º 10.639/03 e a formação continuada de professoras(es) da educação infantil.
Entre tintas e palavras: reconhecimento da cultura Guarani desde uma perspectiva do bem viver
Authors: Obando Rodríguez Maria Paula , De Souza Renata Junqueira
Published: May 2023

O presente artigo tem como objetivo contribuir para o reconhecimento da cosmopercepção da cultura Guarani e da língua Tupi, à luz dos princípios da prática filosófica do bem viver. Em virtude disso, propõe-se a análise da obra artística visual do pintor Xadalu Tupã Jekupe (2022) e da obra literária infantil Poeminhas da Terra, da escritora Márcia Leite e da ilustradora Tatiana Móes (2016). Em consequência, discorre-se sobre o campo teórico do bem viver, da educação artística e da literatura infantil como direitos fundamentais do ser humano. Na análise observou-se que pensar a prática filosófica do bem viver no contexto educativo contribui significativamente para a consolidação de uma educação plural e inclusiva e que a dita filosofia se reflete e espalha harmoniosamente tanto na composição artística do pintor, quanto na obra literária. Portanto, aproximar as crianças às duas obras propondo uma leitura enriquecida das mesmas, pode ampliar significativamente seu repertório cultural, visual e linguístico, fazendo-as parte de uma educação inclusiva erigida nos marcos do bem viver. Por fim, desenvolve-se uma proposta pedagógica para crianças entre os 4 e 5 anos de idade, levando em consideração as obras artística e literária.