bluuebunny/crossref_metadata_2025 huggingface dataset:
Bilateral Exchange System for Fresh Produce Selling using Auction Simulator
Authors: L.Vasanth  , P. Kavitha  , S. Kamalakkannan
Published: May 2024

Fresh products (such as produce, meats and seafood, etc.) are a necessity of life, and, as such, play a pivotal role in human evolution. Traditional selling systems often rely on local markets and direct sales, limiting the reach to a specific geographic area. Producers often rely on middlemen or local distributors in traditional systems, which can lead to reduced profit margins for farmers. Maintaining consistent quality throughout the supply chain can be challenging in traditional systems. Fresh produce has a limited shelf life, and maintaining its freshness throughout the supply chain is crucial. Short shelf life requires quick turnover, and any delays in transportation or storage can lead to spoilage, resulting in losses for producers. Producers may lack access to market intelligence and information on pricing trends, demand forecasts, and emerging consumer preferences. Addressing these problems this project develops a truthful and efficient Double Auction mechanism for produce trading systems.In the context of fresh produce selling, a double auction system proves invaluable as it allows both Procures and Producers to actively engage in the market dynamics. In this trading system, an e-commerce platform acts as the auctioneer, organizing and overseeing an auction between procurers and growers. Procurers submit bids, and the auctioneer confirms and halts the auction. Winners are then announced along with the final prices. Winning procurers obtain allocated produce and make payments, while growers receive payment and provide the produce according to the allocation results.
PPHOPCM Privacy-Preserving High-order Possibilistic C-Means Algorithm for Big Data Clustering with Cloud Computing
Authors: Vijaya Nanthini  , R. Mahalakshmi
Published: May 2024

In image analysis and knowledge discovery, the possibilistic c-means technique (PCM), a crucial fuzzy clustering tool in data mining and pattern recognition, is widely used. Nevertheless, because PCM was first developed for small structured datasets, it might be difficult to get good clustering results for huge data, especially when the data is diverse. The research proposes a high-order PCM approach (HOPCM) for big data clustering, which resolves this problem by optimizing the objective function using tensor space. We also build a distributed HOPCM method for extraordinarily large amounts of heterogeneous data using MapReduce. Finally, we create a privacy-preserving HOPCM algorithm (PPHOPCM) to protect sensitive data on cloud servers by utilizing the BGV encryption method. PPHOPCM approximates the functions for updating the membership matrix and clustering canters as polynomial functions, facilitating the safe computation of the BGV method. Based on trial results, PPHOPCM may effectively cluster a large volume of heterogeneous data using cloud computing without revealing personal data.
Hotel Reservation System through UI/UX Design
Authors: S. Prajeesh  , Dr. C. Meenakshi
Published: May 2024

The Hotel Reservation System through UI/UX Design is a sophisticated digital platform engineered to redefine the landscape of accommodation reservations across a multitude of sectors. Its overarching objective is to provide a seamless and user-centric experience, achieved through an array of innovative features. Central to its design is the emphasis on user experience, ensuring that individuals and organizations can effortlessly navigate through the process of searching, selecting, and securing rooms. Leveraging advanced algorithms and data integration, the system offers real-time updates on room availability, empowering users to make informed decisions swiftly. Furthermore, it boasts comprehensive booking management tools that cater to the needs of both users and administrators, facilitating everything from initial reservations to post-booking modifications and cancellations. The integration of secure payment gateways and encryption protocols ensures the integrity of online transactions, instilling confidence and trust in users. Proactive notifications keep users engaged and informed at every stage of the booking journey, while a feedback and ratings system promotes transparency and accountability within the accommodation industry. Collectively, these features culminate in a platform that offers unparalleled convenience, efficiency, flexibility, and growth opportunities, thereby redefining the standards of excellence in the hospitality sector and paving the way for a more streamlined and user-centric future.
Innovative AI Applications for Education
Authors: Mrs. C. Rajalakshmi
Published: May 2024

In Digital Education schools use virtual reality, extended reality, and ChatGPT to deliver content in exciting new ways and train students for the future of work. Now a day’s most of school Education using with AI tools in their curricula aspects. The innovative schools were accepting AI tools and technique. This kind of Education more powerful in future trends. As Education increasingly integrate artificial intelligence (AI) into their operations, it becomes more essential that students gain a mastery of emerging technologies. Business schools are responding to the need with a range of initiatives that explore the possibilities and perils of virtual reality (VR), extended reality (XR), ChatGPT, and other digital tools. Here look few schools that have reached beyond the constraints of traditional classrooms and created quirky ways to make AI a part of learning. They’re not only delivering content in radical new formats, but helping students perfect the skills they’ll need in tomorrow’s workplace.
Review Article on Formulation and Evaluation of Face Wash
Authors: Manoj N Wavhale  , Amol Shriram Kawle
Published: May 2024

A face wash is a type of facial washing product that is used to remove makeup, oil, filth, and dead skin cells from the skin. Face wash products are intended to cleanse faces without leaving them unduly dry. It is also commonly referred to as "cleanser." Face wash is a mild cleaner that satisfies the needs of maintaining clear, smooth, germ-free, and fresh skin. Additionally, it moisturizes the skin's horny layer without being overly abrasive. That skin looks so young and vivid. Face wash is advertised as having the following benefits: it will cleanse, hydrate, stop acne and wrinkles, and even out skin tone. Face wash was made using varying amounts of ingredients, and standards including pH, irritation, hardness, This article reviews the various types of essential oils and ayurvedic or herbal ingredients that can be used to make face wash, including lavender, peppermint, turmeric, black cumin seed, jasmine, and cinnamon oils. It is found that all skin types benefit equally from this product. friability, thickness, foaming capacity, and accelerated stability were assessed
Harmonic Alchemy: Exploring Musical Creation through GANs
Authors: Asst. Prof Tabassum Khan  , Aditi Sharma  , Ayush Parate  , Bhuvanesh Takod  , Deepasha Khapre  , Harsh Shrikundawar  , Om Bangar
Published: May 2024

The integration of cutting-edge technologies has opened up new avenues for innovation and exploration. Generative Adversarial Networks (GAN), a type of artificial intelligence, has changed the process of generating diverse and novel content. The article looked at how GANs are used in the context of music composition. The purpose of the study is to understand the potential of GANs to facilitate the creation of new and unique musical compositions. The article seeks to shed light on the power of technology in the creative field by exploring the capabilities of GANs in generating music. Despite the excitement surrounding GANs in music, it is important to acknowledge the challenges and limitations that come with their application. As we delve deeper into the realm of music creation through GANs, it is necessary to critically examine the implications, limitations, and ethical considerations that accompany this innovative approach. Our goal is to showcase the possibilities that GANs offer in music creation, but also to reflect on the nuances and complexities involved in using artificial intelligence for artistic endeavors. The field of music generation has been revolutionized by the application of Generative Adversarial Networks (GANs), which have demonstrated the ability to create new and unique compositions based on existing datasets. This review provides a comprehensive overview of the key concepts, approaches and challenges involved in music generation using GANs. First, the basics of GANs are introduced, the contentious process and the roles of generator and discriminator networks are explained. The application of GANs in music generation is then explored, highlighting various methods and architectures such as MuseGAN, Wavenet, and Pix2Pitch that have been developed to address the unique challenges of music generation. The review also discusses the importance of adapting GANs for music generation, allowing music to be generated from various information sources such as images or human sentiment. In addition, it deals with the evaluation of generated music, emphasizing the need for user studies and statistical analysis to validate the results. Finally, the review concludes with a discussion of ethical considerations and the potential impact of automated music generation on the music community. The review aims to provide a valuable resource for researchers and practitioners in the field of music generation using GANs, highlighting the potential of the technology while acknowledging the challenges and ethical implications.
An IoT based Environment Monitoring System
Authors: Omkar Bhagwan Khilari  , Rushikesh Nagorao Anarwad  , Rushikesh Dinesh Borekar  , Dr. Bhausaheb Eknath Shinde  , Prof. Snehal Khartad
Published: May 2024

With increasing environmental awareness, the demand for robust environmental monitoring systems has surged. Such systems play a pivotal role not only in safeguarding the environment but also in ensuring occupational safety, particularly in hazardous industries such as mining. However, large-scale sensor deployment poses significant challenges related to data collection, management, connectivity, and power consumption. Leveraging IoT technology, this paper introduces a novel framework for environmental monitoring utilizing sensors, microcontrollers, and IoT infrastructure. Our system enables users to monitor temperature, humidity, and detect harmful gases indoors and outdoors. Data is securely stored on a web server, accessible globally via the internet. Additionally, we present a web application offering real-time data visualization and customizable notification alerts for critical sensor readings. Compared to existing systems, our solution offers cost-effectiveness, accuracy, user-friendliness, and cloud- based architecture. Extensive evaluation demonstrates the system's high accuracy and reliability across diverse operating conditions, underscoring its potential for widespread adoption in environmental monitoring applications.
Text Summarization Using NLP
Authors: Prof. Priyanka Dhumal  , Sudarshan Sutar  , Indraneel Surve  , Mirza Munawwar  , Vishal Nanaware
Published: May 2024

In the This research introduces a groundbreaking text summarization approach by combining BERT for extractive summarization and GPT for abstractive summarization. The synergy of these models results in a hybrid system that leverages the precision of extraction and the linguistic fluency of abstraction. Experimental results demonstrate the model's efficacy in producing high-quality summaries, showcasing its potential impact on information synthesis across diverse domains.
IOT Based Automatic Electric Vehicle Accident Prevention and Speed Control
Authors: Arvind S. Pande  , Akshay A. Pathare  , Rushikesh D. Thorat  , Akash C. Kandalkar  , Arjun B. Rode  , Vaibhav A. Mokal
Published: May 2024

The IoT-based Automatic Electric Vehicle Accident Prevention & Speed Control system introduces an innovative approach to enhancing road safety for electric vehicles (EVs). By leveraging a network of sensors and devices, the system continuously monitors real-time data on vehicle speed, road conditions, and proximity, enabling features such as collision avoidance, adaptive speed control, and emergency communication. With its proactive approach to risk mitigation, this system aims to revolutionize road safety, offering a comprehensive solution to prevent accidents and contribute to a safer and more efficient transportation ecosystem
Psychology of Learning
Authors: Mr. K. B Alusamy
Published: May 2024

Now days in school level students were learning through the psychology. It is the scientific study of human behavior in educational situation. It is concerned with these factors, principles and techniques which relate to the various aspects of child's growth and development. Since the human behavior cannot be predicated exactly, because it is dynamic. Psychology is the scientific study of the mind and behavior. Psychologists are actively involved in studying and understanding mental processes, brain functions, and behavior. They have learned lot of things in the by psychology. Behaviour is how someone acts. It is what a person does to make something happen, to make something change or to keep things the same. Behavior is a response to things that are happening: internally - thoughts and feelings. Externally - the environment, including other people. so in this topic I have discuss about psychology learning theories , it finally very important to the students learning
An Enhanced Database Security System using Dynamic Time-Warping Voice Recognition Technique
Authors: Chukwudi, Joseph Chukwuluba  , Omede Gracious Chukwunweike  , Edje E. Abel  , Okaro Frank
Published: May 2024

In the rapidly evolving digital landscape, ensuring the security of personal and corporate data stored in Database Management Systems (DBMS) is a top priority. Current data protection methods, primarily reliant on passwords and UserID/PIN protection, are vulnerable to hacking and unauthorized access. This project addresses these shortcomings by introducing an advanced secured database system that utilizes dynamic time-warping voice recognition technology to enhance security. Existing data protection methods have significant limitations, necessitating a more robust and intuitive authentication system. The proposed system employs voice recognition with dynamic time-warping algorithms, which can discern unique voice patterns to offer a sophisticated and secure authentication method. By analyzing distinct vocal attributes, the system adds an extra layer of security, reinforcing data protection against potential threats. The project uses an Object-Oriented Analysis and Design Methodology (OOADM) with a Prototyping development approach, allowing for continuous refinement based on evolving requirements. The front end, designed using ASP.NET C#, provides an accessible and user-friendly interface for administrators. The back end utilizes SQL Management Studio 2014, ensuring efficient and secure data storage and retrieval. Integrating voice recognition technology enhances security, reduces reliance on traditional passwords, and improves user experience. System evaluation findings demonstrate a significant improvement in data protection with the implementation of voice recognition technology. Performance metrics, including accuracy, precision, and sensitivity, indicate that dynamic time-warping algorithms effectively authenticate users based on their unique vocal attributes, mitigating risks associated with conventional methods. In conclusion, the proposed system shows promising results in reinforcing database security and enhancing user authentication. It is recommended to implement this advanced secured database system in real-world scenarios, providing organizations with a reliable and innovative solution to bolster data protection in today's dynamic digital landscape
A Meta-analysis of Syntactic Satiation in Extraction from Islands
Authors: Lu Jiayi , Frank Michael , Degen Judith
Published: May 2024

Sentence acceptability judgments are often affected by a pervasive phenomenon called satiation: native speakers give increasingly higher ratings to initially degraded sentences after repeated exposure. Various studies have investigated the satiation effect experimentally, the vast majority of which focused on different types of island-violating sentences in English (sentences with illicit long-distance syntactic movements). However, mixed findings are reported regarding which types of island violations are affected by satiation and which ones are not. This article presents a meta-analysis of past experimental studies on the satiation of island effects in English, with the aim of providing accurate estimates of the rate of satiation for each type of island, testing whether different island effects show different rates of satiation, exploring potential factors that contributed to the heterogeneity in past results, and spotting possible publication bias. The meta-analysis shows that adjunct islands, the Complex NP Constraint (CNPC), subject islands, the that-trace effect, the want-for construction, and whether-islands reliably exhibit satiation, albeit at different rates. No evidence for satiation is found for the Left Branch Condition (LBC). Whether context sentences were presented in the original acceptability judgment experiments predicts the differences in the rates of satiation reported across studies. Potential publication bias is found among studies testing the CNPC and whether-islands. These meta-analytic results can be used to inform debates regarding the nature of island effects and serve as a proof of concept that meta-analysis can be a valuable tool for linguistic research.
Revision of the Staurosirella leptostauron complex (Staurosiraceae, Bacillariophyta) in Europe with the description of three new species
Authors: Van de Vijver Bart , Kusber Wolf-Henning , Jüttner Ingrid , Schuster Tanja M. , Williams David M.
Published: May 2024

Background and aims – Small-celled araphid diatoms form an important part of the diatom flora in our rivers and lakes. Although several of these species are frequently reported, their correct taxonomic identity is often obscured due to a lack of good knowledge of the original (type) material.

Material and methods – Several historical (nineteenth century) original samples were retrieved from different European and North American diatom collections. The samples have been analysed using light (LM) and scanning electron microscopy (SEM).

Key results – Staurosirella crux comb. nov., based on Ehrenberg’s Navicula crux, proved to be the oldest valid name for Staurosirella harrisonii, the latter now being considered a younger synonym. A new European species, S. neorhomboides sp. nov., is described to replace the name S. rhomboides, now considered a younger synonym of S. leptostauron. The North American populations of S. rhomboides and S. martyi differ sufficiently from the type populations and are described as new species: S. moralesii sp. nov. and S. manoyloviana sp. nov. The new combination Staurosirella informis comb. nov. is proposed for a taxon described in 1856 from the French Pyrenees as Odontidium informe. Staurosirella leptostauron turns out to be insufficiently described and is now documented for further use.

Conclusion – The analysis of the original (type) material corrected several taxonomic errors and better characterised the morphology of several commonly observed Staurosirella species.
DIABETES MELLITUS TIPO 3C SECUNDÁRIO À PANCREATITE CRÔNICA ALCOÓLICA
Authors: Pena Bianca Marinho Sampaio , Santos Ellen Yasmin Boeno , Brito Emannuele Andrade
Published: May 2024

Introdução: O Diabetes secundário à doença pancreática crônica, classificado como Diabetes Mellitus tipo 3c, é causado por uma inflamação no pâncreas gerando disfunção celular e diminuição da sensibilidade hepática e dos níveis de glucagon, causando, portanto, resistência periférica à insulina. Objetivo: Este estudo tem como objetivo revisar sobre o tema DM3c, nos aspectos relacionados ao diagnóstico, quadro clínico, danos pancreáticos identificáveis e tratamento correto. Metodologia: Esta revisão sistemática utilizou métodos explícitos e sistematizados após a seleção das palavras-chaves e pesquisa no Descritores em Ciência de saúde (DeCs), para a seleção dos artigos nas bases de dados, Biblioteca Virtual em Saúde (BVS), incluindo LILACS e MEDLINE e Google Acadêmico, os fatores de inclusão (idiomas inglês, português e espanhol, e cronologia de 5 anos de 2018 a 2023). Utilizando critérios de seleção pré-definidos, foram selecionados 1.125 artigos, dos quais 94 foram escolhidos pelo título e após a leitura dos resumos e artigos completos restaram 8 trabalhos que foram selecionados para o presente estudo. Resultados: Um fator relevante sobre a relação entre pancreatite crônica e diabetes pancreatogênico destacado neste estudo foi que a maioria dos pacientes com Diabetes Mellitus tipo 3c apresenta a patologia da pancreatite crônica, estreitando a relação entre as duas doenças. Conclusão: O diabetes manifestado após a pancreatite crônica alcoólica é uma nova classe a ser estudada, pois os conceitos apresentados sobre o assunto são limitados. Assim, é perceptível a necessidade de estudos futuros para maior descrição patológica.
Inovasi Pengembangan Usaha Virgin Coconut Oil (VCO) di Desa Sulang, Klungkung
Authors: Sumartana I Made , Widnyani Ida Ayu Putu Sri , Dewi Cokorde Istri Dian Laksmi , Indramanik Ida Bagus Gede , Utama I Gusti Bagus Rai
Published: May 2024

Purpose: This study aims to determine the prospects of VCO business development in Sulang Village, Dawan District, Klungkung Regency. 
Research methods: Respondents and samples in this study were four traditional coconut oil craftsmen. Based on the results of the pretest and posttest, there were positive results, where craftsmen were very enthusiastic about developing VCO production. This is supported by the availability of abundant raw materials, availability of low-wage labor.
Results and discussion: Although there are still shortcomings/weaknesses and challenges, the opportunities are quite large for the success of VCO production, when compared to producing traditional coconut oil. In order for the VCO production business to continue, partnerships with stakeholders, such as: Department of Trade and Industry, Department of Health, Pharmacies, Salons and SPAs, Gift Shops. And to introduce the production of VCO can utilize social media as a means to promote its production.
Implication: The development of traditional oil-making businesses with fermentation techniques that produce Virgin Coconut Oil (VCO) in Sulang Village, Dawan District, Klungkung Regency has bright prospects in the future, for this reason, researchers suggest that related parties, especially those who take care of MSMEs, can provide assistance and guidance so that existing small businesses can develop even more advanced.
Exploring Senior High School Teachers’ Technological Pedagogical Content Knowledge in The Greater Accra Region of Ghana.
Authors: Nicholas Andoh , Yeboah Sanderson Kyeraa , Emelia Ohene Afriyie , Otabil Emmanuel Kyereda , ATIEKU Joel Nunana , J. C. Sefenu
Published: May 2024

The study explored Senior High School teachers’ level of Technological, Pedagogical and Content Knowledge (TPACK) in Senior High Schools in the Greater Accra Region and examined the differences in teachers’ level of TPACK on the basis of some demographic variables using the mixed methods approach. The study employed sequential explanatory mixed methods design. Simple random sampling technique was used to select 248 teachers and proportionate sampling technique was also used to select the participants for the interview session. Questionnaire was used to gather quantitative data whilst interview guide was used to gather qualitative data. Mean and standard deviation was used to examine teachers’ level of TPACK. Moreover, Independent samples t-test was used to examine whether differences exist in teachers’ TPACK and gender. One-way (ANOVA) was used to examine whether differences exist in teachers’ TPACK based on age, teaching experience and academic qualification. The thematic analyses of the qualitative data were done to explain the teachers’ moderate level of TPACK. The finding showed that teachers possessed higher Content, Pedagogical and Pedagogical Content Knowledge and moderate Technological Knowledge, Technological Content Knowledge, Technological Pedagogical Knowledge and TPACK. The study found that there was statistically significant difference in teachers’ TK, TCK and gender in favour of the male teachers. The study concluded that teachers’ moderate Technological Knowledge did not reflects in teaching and had negative toads on the use of emerging technologies. The study recommended that the Ministry of Education through GES and government should organise refresher courses for in-service teachers on technology integration in teaching.
Effect of Depth of Placement of Granular and Briquetted NPK on Growth and Yield of Maize (Zea mays)
Authors: Owusu Amos , Adu-Gyamfi Raphael
Published: May 2024

This experiment was conducted at the University for Development Studies, Nyankpala campus experimental field to determine the effect of depth of placement of granular and briquetted NPK on growth and yield of maize. The treatments consisted of two factors laid out in Split plot design and replicated three times. Fertilizer treatments served as main plot factor with the levels being NPK briquette, Granular split, Extension recommended and No fertilizer. Depth of fertilizer placement was taken as sub plot factor with two levels,7 cm and 10 cm. Maize variety used was Opeaburo, a hybrid variety. The application of two briquetted NPK per plant at the depth of 7cm recorded the highest plant height, grain yield, leaf area index, days to 50% silking and tasselling, higher agronomic and nitrogen use efficiency. Farmer applying briquette fertilizer at the depth of 7cm will have superior advantage in terms of yield and cost. Further experiment should be conducted in developing equipment for briquette application in maize. Also the experiment should be repeated on farmer’s field at different agro ecological zones to evaluate the performance of briquette at these locations.
IMPLEMENTASI RAD METHOD PADA APLIKASI PENYEWAAN LAPANGAN FUTSAL BERBASIS DELPHI DAN FIREBIRD DATABASE
Authors: Aziz Firman
Published: May 2024

Perkembangan teknologi komputer telah mengubah berbagai aspek kehidupan, termasuk dalam pengelolaan penyewaan lapangan futsal. Penelitian ini bertujuan untuk mengembangkan aplikasi penyewaan lapangan futsal berbasis Delphi dan Firebird database menggunakan metode Rapid Application Development (RAD). Metode RAD dipilih karena kemampuannya untuk mempercepat proses pengembangan perangkat lunak melalui pendekatan iteratif dan prototyping. Pendekatan penelitian yang digunakan adalah mixed methods, yang menggabungkan pendekatan kualitatif dan kuantitatif. Data dikumpulkan melalui studi literatur, wawancara dengan pengelola lapangan futsal, observasi langsung, dan kuesioner kepada calon pengguna aplikasi. Proses pengembangan aplikasi mengikuti tahapan RAD: Requirements Planning, User Design, Construction, dan Cutover. Hasil penelitian menunjukkan bahwa aplikasi yang dikembangkan dapat meningkatkan efisiensi dan efektivitas pengelolaan penyewaan lapangan futsal. Aplikasi ini memudahkan pengelolaan pemesanan, penjadwalan, dan pelaporan secara lebih terstruktur dan terotomatisasi. Pengujian fungsional, kinerja, dan keamanan menunjukkan bahwa aplikasi berfungsi sesuai dengan spesifikasi yang ditetapkan dan memenuhi kebutuhan pengguna. Implementasi metode RAD terbukti efektif dalam mengembangkan aplikasi ini, memungkinkan iterasi cepat berdasarkan umpan balik pengguna dan penyesuaian desain yang responsif. Rekomendasi untuk pengembangan lebih lanjut termasuk penambahan fitur pembayaran online dan integrasi dengan sistem manajemen lainnya.
Dinâmicas ambientais e recursos naturais: perspectivas globais e ações locais
Authors: Brito Higor
Published: May 2024

A compreensão das dinâmicas ambientais e dos recursos naturais, bem como suas interações com a sociedade, é fundamental para o desenvolvimento sustentável. Este volume, intitulado Dinâmicas ambientais e recursos naturais: perspectivas globais e ações locais, apresenta uma coletânea de estudos e pesquisas que abrangem uma vasta gama de temas nesta área de conhecimento. O livro inicia com uma discussão sobre a construção de diretrizes internacionais para o combate às mudanças climáticas, estabelecendo o contexto global das políticas ambientais e as estratégias adotadas para mitigar os impactos dessas mudanças. Em seguida, explora-se a aplicação da sustentabilidade em organizações, apresentando uma análise prática da sustentabilidade corporativa e suas implicações econômicas, sociais e ambientais.
ASPEK SPIRITUAL DAN BIOLOGIS TERAPI MALUKAT : SEBUAH TINJAUAN PUSTAKA
Authors: ARYDA LUH NYOMAN TRIWIDAYANI , WEDASTRA I MADE
Published: May 2024

Malukat is a cleansing process that aims to achieve spiritual purification and mental clarity for spiritual progress. The belief of the Balinese people that mental disorders or illnesses are one of “dirts” that occur in the human body so that malukat plays a major role in handling mental illness culturally in Bali. This is also able to reduce stigma in the community in Bali about mental illness. The research design is a literature review. Modern man when experiencing shock or stress will experience very rapid psychological changes that make them fall into uncertainty so that they choose a way out without logic that ends in mental disorders. Many modern men turn to psychic powers, they begin to recognize the existence of psychic powers and try to find them. Emotional pain is the main cause of physical pain and physical illness. Malukat ritual for physical and spiritual cleansing to restore balance of the sick soul or spiritual pain. Malukat causes a balance of work between sympathetic and parasympathetic nerves so as to reduce psychic stress and also reduce psychic and physical pain. Aromatherapy helps the body relax so that sympathetic and parasympathetic balance can be maintained properly.
ABSTRAKMalukat merupakan proses pembersihan yang bertujuan untuk mencapai pemurnian spiritual dan kejernihan mental untuk kemajuan rohani. Keyakinan masyarakat Bali bahwa gangguan atau penyakit mental merupakan salah satu “leteh” yang terjadi dalam tubuh manusia sehingga malukat ini berperan besar dalam penanganan penyakit mental secara budaya di Bali. Malukat ini juga mampu mengurangi stigma pada masyarakat di Bali tentang penyakit mental. Desain penelitian ini adalah tinjauan pustaka atau literature review. Manusia modern saat mengalami guncangan atau stres akan mengalami perubahan psikologis yang sangat cepat yang membuat mereka terjerumus ke dalam ketidakpastian sehingga memilih jalan keluar tanpa logika yang berakhir dengan gangguan mental. Manusia modern banyak yang beralih pada kekuatan psikis, mereka mulai mengakui adanya kekuatan psikis dan berusaha mencarinya. Rasa sakit emosional yang menjadi penyebab utama rasa sakit fisik dan penyakit fisik. Ritual malukat untuk pembersihan jasmani dan rohani untuk mengembalikan keseimbangan dari jiwa yang sakit atau spiritual pain. Malukat menyebabkan keseimbangan kerja antara saraf simpatis dan parasimpatis sehingga mampu mengurangi stres psikis dan juga mengurangi nyeri psikis serta nyeri fisik. Aromaterapi membantu tubuh menjadi relaks sehingga keseimbangan simpatis dan parasimpatis mampu terjaga dengan baik.
DAMPAK PEMBERIAN PERSEMBAHAN PERSEPULUHAN BERDASARKAN MALEAKHI 3:10 DAN IMPLIKASINYA BAGI PEMBINAAN WARGA GKII JEMAAT PINTU TERBUKA KOTA SORONG
Authors: KOMBA LUAR , TABUNI MEROL , HELUKA YESKIEL
Published: May 2024

Tithing is an activity of collecting 10% of income into the church treasury as a form of obedience to God as stated in the Book of Malachi 3:10. GKII Sorong Open Door Congregation has carried out the practice of collecting tithe offerings, but there has never been any research that examines the process of managing and allocating tithe offering money and its relationship to congregational formation. Through qualitative research methods with data collection techniques in the form of observations and interviews, it was found that there was misuse of the tithing offering treasury so that the output of this research was in the form of recommendations for prevention tips including conducting regular audits, reviewing reports before they are published in bulletins and notice boards, coaching efforts the basis of faith for all church members, and efforts to supervise the personnel of church officials.
ABSTRAKPersembahan Persepuluhan adalah kegiatan mengumpulkan 10% dari penghasilan kepada perbendaharaan gereja sebagai bentuk ketaatan kepada Tuhan sebagaimana yang difirmankan dalam Kitab Maleakhi 3:10. GKII Jemaat Pintu Terbuka Sorong sudah melakukan praktik penghimpunan persembahan persepuluhan namun belum pernah ada penelitian yang mengkaji proses pengelolaan dan alokasi uang persembahan persepuluhan berikut keterkaitannya dengan pembinaan jemaat. Melalui metode penelitian kualitatif dengan teknik pengumpulan data berupa observasi dan wawancara, didapatkan adanya penyalahgunaan perbendaharaan persembahan pesepuluhan sehingga keluaran dari penelitian ini berupa rekomendasi kiat-kiat pencegahan di antaranya dengan melakukan audit secara berkala, pengkajian laporan sebelum diterbitkan dalam buletin dan papan pengumuman, Upaya pembinaan dasar iman bagi seluruh warga gereja, dan upaya pengawasan personalia pejabat gereja .
EFEKTIVITAS MEDIA PEMBELAJARAN CANVA TERHADAP MOTIVASI DAN HASIL BELAJAR SISWA DI MADRASAH DDI KALUKUANG
Authors: KARIM SYAHRUNI , BAHAR IRNAYANTI
Published: May 2024

This research aims to increase motivation and learning outcomes in Biology science learning, ecosystem balance material in class VII at Madrasah Ibtidaiyah Kalukuang. This research method is included in the one shot case study where the researcher carries out the treatment once. The sample in this study was 20 students. The research results include; 1) student learning motivation can be seen from the distribution of student learning activities where after the post test or after treatment using Canva learning media there has been an increase of 84% from the previous 62.5%, 2) student learning outcomes in the pre test there are 7 students who have met teaching completion criteria and as many as 13 students did not meet the teaching completion criteria, while in the post test or after treatment using Canva media there were 16 students who met the teaching completion criteria and 4 students who did not. Based on the description of the results obtained above, it can be concluded that the learning media using the Canva application is effectively used as a medium for science learning at MI DDI Kalukuang.
ABSTRAKPenelitian ini memiliki tujuan yaitu untuk meningkatkan motivasi dan hasil belajar pada pembelajaran IPA Biologi materi keseimbangan ekosistem di kelas VI di Madrasah Ibtidaiyah Kalukuang. Metode penelitian ini termasuk dalam one shot case study dimana peneliti mengadakan perlakuan sebanyak satu kali. Sampel pada penelitian ini sebanyak 20 orang siswa. Adapun hasil penelitian diantaranya yaitu; 1) motivasi belajar siswa dapat dilihat dari distribusi aktivitas belajar siswa dimana setelah post test atau setelah perlakuan menggunakan media pembelajaran canva mengalami peningkatan sebesar 84% dari sebelumnya sebesar 62,5%, 2) hasil belajar siswa pada pre test terdapat 7 siswa yang telah memenuhi kriteria ketuntasan mengajar dan sebanyak 13 siswa yang belum memenuhi kriteria ketuntasan mengajar, sedangkan pada post test atau setelah perlakuan menggunakan media canva terdapat 16 siswa yang telah memenuhi kriteria ketuntasan mengajar dan sebanyak 4 siswa yang belum memenuhi. Berdasarkan uraian perolehan hasil diatas dapat disimpulkan bahwa media pembelajaran menggunakan aplikasi canva efektif digunakan sebagai media dalam pembelajaran IPA di MI DDI Kalukuang.
INFLUÊNCIA DA MICROBIOTA INTESTINAL NA SAÚDE MENTAL: IMPLICAÇÕES CLÍNICAS
Authors: Pereira Lucas Corsini , Gontijo Júlia Ribeiro Faria , Cedro Juliano Teubner , Lima Diego Henrique de Melo
Published: May 2024

A relação entre a microbiota intestinal e a saúde mental tem despertado um interesse crescente na comunidade científica. A microbiota intestinal, composta por uma diversidade de microrganismos, desempenha um papel fundamental na regulação do funcionamento do sistema nervoso central, influenciando diretamente o humor, o comportamento e o desenvolvimento de distúrbios psiquiátricos. Essa interação complexa, conhecida como eixo intestino-cérebro, tem implicações significativas para a compreensão e o tratamento de condições de saúde mental. Objetivo: O objetivo desta revisão sistemática de literatura é investigar e sintetizar as evidências mais recentes sobre a influência da microbiota intestinal na saúde mental, com foco nas implicações clínicas. Serão examinados estudos publicados nos últimos 10 anos para fornecer uma visão abrangente sobre o tema. Metodologia: Esta revisão seguirá as diretrizes do PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Utilizaremos as bases de dados PubMed, Scielo e Web of Science para identificar estudos relevantes. Os descritores incluirão termos como "microbiota intestinal", "saúde mental", "depressão", "ansiedade" e "tratamento". Os critérios de inclusão são estudos originais publicados nos últimos 10 anos, em inglês ou português, que investigaram a relação entre microbiota intestinal e saúde mental em seres humanos. Os critérios de exclusão incluíram estudos em animais, revisões sistemáticas e estudos com metodologias inadequadas. Resultados: A análise dos estudos identificados revelou uma associação significativa entre a composição da microbiota intestinal e diversos transtornos mentais, incluindo depressão e ansiedade. Além disso, intervenções direcionadas à modulação da microbiota, como o uso de probióticos e prebióticos, demonstraram benefícios potenciais no tratamento dessas condições. No entanto, são necessárias mais pesquisas para elucidar os mecanismos exatos envolvidos e determinar a eficácia dessas intervenções. Conclusão: Esta revisão destaca a importância crescente da microbiota intestinal na saúde mental e as possíveis implicações clínicas dessa relação. O entendimento do eixo intestino-cérebro oferece novas oportunidades para o desenvolvimento de estratégias terapêuticas inovadoras e personalizadas para o tratamento de distúrbios psiquiátricos. No entanto, são necessárias mais pesquisas para traduzir essas descobertas em prática clínica eficaz.
TERAPIAS ALVO-DIRECIONADAS NA ONCOLOGIA: UMA NOVA ERA NO TRATAMENTO DO CÂNCER
Authors: Prado Eduarda Martins do , Maia Matheus Miguel , Silva Antony Pereira de Faria , Miranda Camille Cristina , Gonçalves Luciana Angélica
Published: May 2024

As terapias alvo-direcionadas na oncologia representam uma abordagem inovadora e altamente específica no tratamento do câncer, marcando uma mudança significativa no paradigma terapêutico. Ao contrário das abordagens tradicionais, que têm muitas vezes efeitos colaterais generalizados devido à sua natureza não específica, essas terapias visam diretamente as características moleculares das células cancerígenas, minimizando danos às células saudáveis. A compreensão crescente da biologia molecular do câncer tem impulsionado o desenvolvimento dessas terapias, promovendo uma era emocionante de progresso na luta contra essa doença devastadora. Objetivo: Este estudo tem como objetivo revisar sistematicamente a literatura recente sobre terapias alvo-direcionadas na oncologia, destacando os avanços mais significativos, as tendências emergentes e os desafios enfrentados nesse campo. Metodologia: A revisão sistemática foi conduzida de acordo com as diretrizes PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Utilizando as bases de dados PubMed, Scielo e Web of Science, foram selecionados artigos publicados nos últimos 10 anos que abordavam o tema. Os descritores utilizados foram "terapias alvo-direcionadas", "oncologia", "câncer", "biologia molecular" e "tratamento do câncer". Critérios de inclusão: Foram incluídos estudos que investigaram terapias alvo-direcionadas em diferentes tipos de câncer, fornecendo insights sobre sua eficácia, segurança e mecanismos de ação. Critérios de exclusão: Estudos que não estavam disponíveis em texto completo, não estavam escritos em inglês, português ou espanhol, ou que não se concentravam especificamente em terapias alvo-direcionadas foram excluídos. Resultados: Os resultados da revisão destacaram os avanços significativos nas terapias alvo-direcionadas, incluindo o desenvolvimento de medicamentos específicos para alvos moleculares, a identificação de biomarcadores preditivos e a personalização do tratamento com base no perfil genético do paciente. Além disso, foram discutidos os desafios enfrentados, como a resistência adquirida às terapias e os custos associados. Conclusão: As terapias alvo-direcionadas representam uma importante ferramenta no tratamento do câncer, oferecendo maior eficácia e menor toxicidade em comparação com abordagens convencionais. No entanto, são necessárias mais pesquisas para superar os desafios existentes e maximizar seu potencial no combate a essa doença complexa.
Use of iNaturalist Biodiversity Contribution Data for Modelling Travel Distances to Parks Across the United States
Authors: Cao Jiping , Hochmair Hartwig H.
Published: May 2024

Abstract. Crowdsourcing platforms have become an important data source for modelling and observing human behavioural and social activities, such as mobility, social interactions and urban dynamics. This study uses observation data from iNaturalist, an online social network of voluntary users sharing biodiversity information, which was collected from 20,434 parks in the United States. It explores the relationship between park characteristics and the mean travel distance of users to parks. The latter is based on the average of distances between an iNaturalist user’s typical main area of iNaturalist contributions and the locations of the user’s observations falling inside a park of interest. The DBSCAN clustering algorithm is used to determine each user’s main contribution area. An Eigenvector Spatial Filtering (ESF) model shows that the log of the average distance travelled to parks is positively associated with certain park management types (e.g. National Parks, State Parks) and biodiversity, but negatively associated with the population around a park. The results provide insights into the nature of iNaturalist user visitation patterns to parks which can be used for targeted outreach campaigns and a more user-centric approach to promote park attractions and biodiversity conservation.
Lessons from spatial transcriptomics and computational geography in mapping the transcriptome
Authors: Comber Alexis , Zormpas Eleftherios , Queen Rachel , Cockell Simon J.
Published: May 2024

Abstract. Spatial data, data with some form of location attached, are the norm: all data are spatial now. However spatial data requires consideration of three critical characteristics, observation spatial auto-correlated, process spatially non-stationarity and the effect of the MAUP. Geographers are familiar with these and have tools, rubrics and workflows to accommodate them and understand their impacts on statical inference, understanding and prediction. However, increasingly researchers in non geographical domains, with no experience of, or exposure to quantitative geography or GIScience are undertaking analyses of such data without full or any understanding of the impacts of these spatial data properties. This short paper describes recent interactions and work with research in gene analysis and Spatial Transcriptomics, and highlight the opportunities for GIScience to inform and steer the many new users of spatial data.
Geolocating Bees by Translating the Waggle Dance Into Spatial Coordinates
Authors: Galopin Sylvain , Richard Freddie-Jeanne , Touya Guillaume
Published: May 2024

Abstract. Bees can communicate the location of interesting resources to forage to their nestmates by performing what we call a waggle dance. Being able to precisely decode the information conveyed with waggle dances would help biologists, ecologists, beekeepers, and even decision-makers to limit the current decline of bees. The challenge addressed in this paper is to find the best way to model in a spatial database the directions given by the waggle dance, and the best way to visualize them.We propose first a method to collect the direction information in a video from an observation hive. Then, we propose three methods to model the uncertain locations indicated by the waggle dance, using a kind of box-plot geometry, clustering and heatmaps. An experiment to find the resources from our maps on the field shows that the heatmap representation is the most promising.
A software tool for generating synthetic spatial data for GIS-classroom usage
Authors: Gorry Paddy , Mooney Peter
Published: May 2024

Abstract. We describe a software tool for generating synthetic spatial data for use in GIS-related teaching and learning activities. Example deployments include the ability to provide every student with a different dataset(s) for a given spatial region or to quickly generate previously unseen datasets for a given spatial region. However, ensuring the datasets exhibit real-world characteristics is a much more difficult task. In this paper we report on ongoing work and our subsequent progress towards development of a reusable and reproducible software tool (written in Python) for the production of synthetic spatial data (vector polygons and points) for these purposes.
Comparative Evaluation of Keyphrase Extraction Tools for Semantic Analysis of Climate Change Scientific Reports and Ontology Enrichment
Authors: Katsadaki Eirini , Kokla Margarita
Published: May 2024

Abstract. Keyphrase extraction is a process used for identifying important concepts and entities within unstructured information sources to facilitate ontology enrichment, semantic analysis, and information retrieval. In this paper, three different tools for key phrase extraction are compared to evaluate their accuracy and effectiveness for extracting geospatial and climate change concepts from climate change reports: frequency-inverse document frequency (TF-IDF), Amazon Comprehend, and YAKE. Climate change reports contain vital information for comprehending the complexity of climate change causes, impacts, and interconnections, and include wealth of information on geospatial concepts, locations, and events but the diverse terminology used complicates information extraction and organization. The highest scoring keyphrases are further used to enrich and populate the SWEET ontology with concepts and instances related to climate change and meaningful relations between them to support semantic representation and formalization of knowledge.