bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on The Spatial Heterogeneity of National Physical and Mental Health in China Based on Numerical Simulation
Authors: Jingchao Hu Li Wang,
Published: April 2024

Studying the spatial interactions between socio-economic and natural (SEN) factors and physical health (PF) can help improve national physical and mental health and develop health policies. In order to deeply analyze the relationship between social and economic environment, sports activities, and national physical and mental health, and improve the level of national physical and mental health, this study used mathematical numerical analysis methods using MATLAB and ArcGIS software to determine the determining factors of PF differences in China. The reported National Fitness Composite Index (NFCI) in China was extracted from the National Physical and Mental Health Fitness Monitoring Bulletin in 2015. The SEN factors were gathered from the China Statistical Yearbook in 2015. The OLS model and GWR model were then utilized to investigate the SEN factors of the NFCI. We found that the NFCI of each province had a strong relationship with the natural environment. The NFCI of the eastern coastal regions was higher but also similar to that of the central and western regions. It was also found that the impact of the natural environment on national physical and mental health fitness was greater than that of social and economic factors. Temperature and hours of sunshine were major environmental factors. Annual hours of sunshine (ANNsun, hours), health care expenditure (HEAexpe, Chinese yuan), annual temperature (ANNtem, °C), road distance (ROAdis, kilometers) and annual rainfall (ANNrai, millimeters)are socioeconomic and natural (SEN) determinants of factors and physical fitness (PF). We should increase physical exercise, change our concepts of health, develop a healthy lifestyle and improve our physical fitness in accordance with the national fitness strategy. The regression coefficients obtained by the GWR model show significant differences, indicating that the degree of influence of social, economic, and natural factors on national physical fitness varies significantly with geographical regions..
A psychological study of Cantonese tone confusion based on computer experimental data
Authors: Fei Li
Published: April 2024

The paper is based on computer experimental data and aims at investigating the pronunciation of Cantonese tones by 40 participants in Guancheng. Accordingly, three methods, namely, the preparatory pronunciation, pronunciation experiment and perception experiment were applied to examine the tones. The methods correspond to three levels of psychological identification. As the result, confusions of Cantonese tones were summarized and the related reasons were analyzed. The psychological identification of different levels was found to show different trends in the confusion of the tone. Moreover, according to the preparatory experiment, as shallow level psychological identity, the similarity of the adjustment and modulation can be argued to be the internal reason of the confusion. As the medium level psychological identity, the pronunciation experiment suggested that the weakening of socialized pronunciation can lead to tone confusion. Finally, as the deep psychological identity, the experimental study of perception demonstrated the perceptual similarity as the direct psychological motivation of the confusion..
Analysis of Artificial Intelligence in International Higher Education Field Based on Bibliometrics
Authors: Yanting Pan Zaifeng Yang, Shixiong Li,
Published: April 2024

Artificial intelligence (AI), as a significant feature of modern development, has changed the form of education, especially with a significant impact on higher education (HE). Clarifying the integration and infiltration of HE and AI is of great significance for the future development of AI in HE. The Citespace is used to make a quantitative and qualitative analysis of the indicators such as authors, institutions, nationalities, disciplines, journals, and highly cited articles of AI research literature -located at HE included in the Web of Science core collection database. The results show that in recent years, AI in the field of HE has received extensive international attention, and the research results are in a growing trend. In the field of international HE, AI focuses on hot topics such as parameter design, deep learning, machine learning human-computer interaction and hybrid learning. And deep learning, learning space simulation design, learning effectiveness measurement, etc. will become an important development direction of international AI research in the field of HE.
Research on the Innovative Pathway of ChatGPT Enabling Rural Music Teaching from the Perspective of the Metaverse
Authors: Jiali Xia Yun Gao,
Published: April 2024

This study delves into the innovative integration of ChatGPT within the metaverse context, specifically for rural music education. The metaverse, a converging virtual space, offers unprecedented opportunities for enhancing teaching methods. However, creating engaging and effective digital resources remains a challenge. This paper explores how ChatGPT's advanced natural language processing capabilities can be harnessed to construct dynamic and interactive music teaching materials tailored to rural learners. The proposed approach aims to foster a more immersive, interactive, and intelligent learning environment, ultimately elevating the quality of music education in rural areas.
Enhancing Network Security: Leveraging Machine Learning for Intrusion Detection
Authors: Veera V Rama Rao M
Published: April 2024

In order to precisely identify and categorise different kinds of network attacks, this study focuses on applying machine learning approaches for network intrusion detection. Data collection, preprocessing, feature scaling, model definition, feature selection, and assessment metrics are all part of the methodology. Different machine learning models, including Decision Tree Classifier and Random Forest Classifier, are considered, along with the use of all features or some part of features for each attack category. Evaluation is performed using K-fold cross-validation, with metrics such as accuracy, precision, recall, and F1-score analysed. Results indicate the efficiency of Random Forest Classifier in handling high-dimensional datasets and improving detection accuracy, making it a superior choice for network intrusion detection tasks.
Modification Method of Expanded Polystyrene Granular Concrete Based on Computer Data Analysis
Authors: Jianing Hao
Published: April 2024

Expanded Polystyrene Granular concrete (EPS) is renowned for its exceptional lightweight and thermal insulation properties, yet it is hindered by its low strength. Despite the existence of numerous modification methods, there remains a dearth of quantification and summarization, particularly in the era of Artificial Intelligence (AI). Consequently, this study undertook the quantification of several conventional and novel modifications, uncovering intriguing challenges and discerning future trends in modification techniques. These methods encompass nanomaterials, phase change materials, ceramic concrete, and composite modifications, all aimed at bolstering mechanical properties and introducing novel functionalities to address diverse environmental, energy, and engineering requirements. Challenges encompass intricate processes, high costs, material compatibility issues, nascent processes, and application hurdles. Leveraging the advancements in simulation and AI technology, numerical simulations can meticulously replicate the microstructure of EPS granules and the physical attributes of concrete in numerical models, facilitating accurate prediction of material properties. The application of artificial intelligence techniques also includes utilizing big data analysis to optimize the proportions of various materials in EPS granular concrete, providing a valuable framework for the study of high-performance EPS granular concrete and significantly contributing to the enhancement of concrete performance.
Novel Approach to Design a Model for Software Effort Estimation Using Linear Regression
Authors: Sachin Wakurdekar,
Published: April 2024

Estimation of an effort is necessary to decide the time and cost needed for the completion of the project. Making judgments with a high degree of uncertainty is a serious issue in the field of software engineering. Software quality forecasting calls for highly precise technologies and expert knowledge. The forecast of software effort based on past data from software development metrics could, instead, be aided by AI-based predictive models, which have a high degree of accuracy. Using a linear regression model, we developed a software effort estimation model in this study to forecast this effort. A non-parametric linear regression approach based on K-Nearest Neighbors was used to create this statistical model (KNN). So, with a 76% coefficient of determination, our findings indicate the potential for applying AI algorithms to predict the software engineering work prediction problem.
Secure Data in the Cloud with a Robust Hybrid Cryptographic Approach
Authors: Ghada Yousif Ismail
Published: April 2024

Cloud security combines hybrid symmetric encryption and key management to protect user privacy. Our approach can be easily scaled to meet growing cloud data security needs. Cloud computing's basic tenet is resource sharing, which is used for data storage, analysis, and management. Since many people use cloud services and are spread out across the internet, they present many security risks. Hybrid clouds, which can be accessed from anywhere, provide numerous advantages. The security solution (infrastructure as a service) is compatible with many PaaS, SaaS, and even IaaS cloud services. Furthermore, it is consistent with the vast majority of existing cloud solutions. Cloud computing security can be strengthened by using hybrid public key cryptosystems. Concerns about data security have made many businesses wary of cloud computing. The study aims to secure cloud computing by combining the Rabin and Rivest-Shamir-Adleman (RSA) cryptographic models. Analyzing how well a combination of methods generates secure encryption and decryption keys for data. The pure RSA system has longer response times and requires fewer computations compared to the hybrid system.
IoT-Enabled Embedded Virtual Sensor for Energy-Efficient Scalable Online Water Quality Monitoring System
Authors: Aleefia .A. Khurshid
Published: April 2024

Pollutants introduced into water sources by industries and individuals have made it difficult to obtain enough clean drinking water in the modern world. This calls for a mechanism that periodically assesses the water's quality. There are portable instruments available to measure the factors impacting water quality. But the user needs solutions that are inexpensive, automated, reliable, and responsive. For monitoring of large water bodies, a low-cost, scalable, edge processing system in real-time is created to satisfy the current needs. It is designed using a Raspberry Pi, a display unit, and standard sensors for variables including temperature, ORP, pH, conductivity, and DO. Edge intelligence along with tiny ML is used to deploy the virtual sensor for estimation of the degree of pollution in water which otherwise requires a costly and tedious process. With an edge reaction time of 2.70ns and a notable Nash-Sutcliffe efficiency coefficient of 0.99 for BOD and COD estimation in water, this model is created utilizing the randomized tree classification. With the use of a power-efficient algorithm, the 8.4w system energy consumption of the created prototype allows it to operate on AC and solar power and can be effective in difficult climatic conditions.
Leveraging Digital Forensics in the Age of Smart Grids: A Survey of Tools and Techniques for Securing Electrical Power Systems
Authors: Daniel Madan Raja S
Published: April 2024

The increasing reliance on digital technologies in smart grids introduces vulnerabilities to cyberattacks that can disrupt critical infrastructure and impact daily life. For critical infrastructures to be protected against potential cyber-attacks, many forensic approaches have already been developed to collect, analyze, and digitalize the evidence to assist in the in-depth investigation of any incident. The growing complexity of power grids with interconnected digital components necessitates robust security measures. The modern power grids are not isolated they are interconnected networks of controls where if one component or system is affected the whole system faces a blackout. Network forensics plays a crucial role in investigating these attacks, identifying the source, and implementing mitigation strategies. This paper compares and analyzes three key tools: Wireshark, Nmap and NetMiner used in the network forensics of electrical power systems focusing on their performance assessed against various parameters.
Towards Seamless Air Travel: Developing a Next-Generation Flight Booking Assistant
Authors: Manasa S A
Published: April 2024

In the dynamic landscape of flight booking, passengers seek an optimal and streamlined experience encompassing factors such as flight duration, onboard services, and pricing. This paper introduces developing a Next-Generation Flight Booking Assistant, leveraging Meta’s LLAMA 2, a transformer-based auto-regressive causal language model. Our approach not only provides a comprehensive solution to the traditional challenges of flight booking but introduces several novel features. We fine-tune the LLAMA 2 model using the Low-Rank Adaptation (LoRA) technique,  enabling efficient handling of user queries.  Furthermore,  we introduce a destination recommendation model based on travel history, employing the Retrieval-Augmented Generator (RAG) for data retrieval on booking and pricing information. The Next-Generation Flight Booking Assistant incorporates distinctive features, including real-time interpretation of social media sentiment to grasp user preferences, seam- less handling of multiple languages, and the provision of post-booking recommendations for top places to visit. These distinguishing aspects set our assistant apart by  actively adapting to the evolving needs of users. To justify the significance of our solution, we present comprehensive performance statistics derived from user testing and feedback collection. The evaluation underscores the assistant’s proficiency in understanding user preferences, navigating through available options, and efficiently completing the booking process. The results demonstrate not only the effectiveness but also the user satisfaction with the introduced features, solidifying the Next-Generation Flight Booking Assistant as a cutting-edge and user-centric solution in the realm of digital flight assistance.
Traffic Signal Violation Detection System Using Computer Vision
Authors: Hitesh Gehani
Published: April 2024

The Traffic Signal Violation Detection System is an innovative solution leveraging computer vision techniques to enhance traffic management and improve road safety. This project aims to develop an intelligent system capable of automatically detecting and monitoring traffic signal violations at intersections. Using computer vision algorithms, the system processes video feeds from surveillance cameras installed at traffic signals. The proposed approach involves multiple steps, including video preprocessing, object detection, and violation classification. In the preprocessing phase, the video frames are analyzed to extract relevant information. This step helps in enhancing the overall accuracy of subsequent stages. The system employs state-of-the-art object detection algorithms such as Ultralytics YOLOv8 (You Only Look Once Version 8) and SORT (Simple online real-time tracking) to detect vehicles within the video frames. By accurately identifying objects, the system can analyze their behavior and adherence to traffic rules. The classification phase involves determining whether a vehicle has violated the traffic signal rule i.e. red light running To achieve robust performance, the project utilizes a comprehensive dataset of labeled traffic scenarios to train and fine-tune the deep learning models. We have used COCO (Common Objects in Context) dataset which contains more than 348K images. We have also trained a custom model to detect red, yellow and green light and pedestrian crossing.
Towards Enhanced Security: An improved approach to Phishing Email Detection
Authors: G. B. Sambare
Published: April 2024

Email phishing assaults remain a widespread catastrophe to individuals and businesses, using human weaknesses to obtain unauthorised access to sensitive information. This research study presents an upgraded email phishing detection system that uses machine learning approaches. To construct a robust and adaptable model, the system includes a complete feature set such as email content analysis, sender reputation, and behavioural patterns. The one that has been proposed uses a new combination of supervised and unsupervised machine learning algorithms to analyse email properties and user behaviour, allowing for the detection of subtle phishing signs. The term of body content analysis, URL analysis, and QR code information are among the features retrieved and analysed utilising advanced natural language processing and pattern recognition algorithms. Novelty lies in the integration of supervised and unsupervised machine learning algorithms to identify subtle phishing indicators, along with advanced natural language processing and pattern recognition algorithms for analyzing email properties. A benchmark dataset is used for the proposed system's validation, and a comparison with other phishing detection techniques shows improved, lower false-positive rates. The results indicate the system's ability to effectively discern phishing emails while minimizing the impact on legitimate communication. The system demonstrates a notable improvement by including a diverse range of features and state-of-the-art machine learning algorithms, which makes it a valuable asset to the cybersecurity toolkit for safeguarding email correspondence.
Biomass to Bioenergy in the Province of Huíla, Angola
Authors: Cativa Fernando , Costa Jorge , Fernando Ana Luísa
Published: April 2024

The search for cleaner energy sources in Angola has grown significantly due to the need to reduce the dependence on diesel generators to supply electricity, which, combined with the fossil fuels consumption in the transport and industrial sectors, puts the country on the path of those who have increased the greenhouse gas emissions over the last years. Only 30% of the population has access to electricity despite the country's extensive resources of hydroelectric power and fossil fuels. Vegetable biomass accounts for 65% of the country's primary energy supply, and 80% of the rural population depends on it to meet most of their energy needs. This biomass is burned in poor-quality devices, making them inefficient and causing health issues for the users exposed to the combustion gases. Therefore, this work aims to evaluate options for a greener and more sustainable use of biomass to bioenergy, and different scenarios were built based on the current use of biomass. Results show that the use in the Province of Huíla of the biomass residues could replace by 50% the firewood. The replacement of the three-stone fire by using more efficient cooking stoves will reduce the amount of biomass needed and therefore, the residues from the province would suffit the demand to cook. The use of those more efficient stoves will also allow a reduction of harmful emissions. However, changing the stoves by more efficient ones also result in an economical burden that may not be reached by most rural populations.
Analysis of Industrial 5GDHC System in Ingolstadt
Authors: Müller Simon Nikolaus , Strobel Rainer , Faigl Markus , Schrag Tobias
Published: April 2024

This study comprehensively examines the technical manifestation and planning process for a shared thermal energy network at a 75-hectare industrial area in Ingolstadt. Unlike traditional systems, this (5GDHC) network showcases a smart integration of energy flows across 70 buildings with a yearly heating demand of around 17 GWh and a yearly cooling demand of around 35 GWh. The network spans over 9,100 meters of piping with diameters up to 800 mm. With thermal power from various sources including 1.8 MW waste heat from a data centre and potential for 10 MW from the Danube River, the system epitomizes a dynamic balance of heating and cooling demands. The paper itself examines the planning process of the system and encompasses topics such as defining energy requirements and load profiles, assessing potential energy sources and sinks for enhanced system efficiency, and analysing pipe and network design. Through this investigation, the study provides valuable insights towards a methodology to facilitate the successful implementation of future industrial 5GDHC systems, furthering the cause of sustainable energy.
Restaurantes y sostenibilidad culinaria: un asunto cultural y estético. El caso del restaurante bogotano Mini-Mal
Authors: Ulloa Garzón Ana María
Published: April 2024

This article reflects on the role of restaurants in promoting environmental and cultural sustainability. The case study presented here focuses on the history of Mini-Mal, a Bogotá restaurant that is a precursor of the so-called new Colombian cuisine, a movement driven by chefs who seek to use a wide and diverse range of local ingredients and techniques in their cuisine, combining tradition and innovation. The article, based on interviews with Eduardo Martínez, founding partner and executive chef of the restaurant, and a review of press and documents, discusses the concept of culinary sustainability that Mini-Mal has subscribed to and helped build, emphasizing the importance of its cultural and aesthetic proposal.
La cocina de restaurantes rurales y su adaptación al paisaje en el Valle de Guadalupe, Baja California, México
Authors: Gutiérrez-Sánchez Carolina , Moreno Santoyo Rebeca , Reyes Orta Marisa , Leyva Aguilera Juana Claudia
Published: April 2024

Cuisines represent a way of exploring the identity of a territory. These, as well as the use of certain ingredients, are a crucial example of the practices of gastronomic landscape in rural contexts. This article aims to analyze the characteristics of rural restaurant cuisines in a local context and identify the practices implemented in restaurants in the territory of Valle de Guadalupe in Ensenada, Baja California, Mexico. For this, a research study was carried out covering twelve months, distributed between 2022 and 2023. The starting point was a quali­tative study with a phenomenological approach, which made it possible to identify different variables, such as local and non-local ingredients, good practices, and felt needs, thanks to the discourse of people who are part of restaurants located in the rural context. The results show how rural restaurant cuisines are characterized in the context of Baja California, what ingredi­ents are part of their cuisines, and what good practices are implemented to adapt to the rural territory. The originality of this work lies in highlighting the characteristics of rural restaurant cuisines based on iconic ingredients from local gastronomic landscapes, as well as the best practices distinctive in rural contexts that address local environmental issues.
The Influence of Manipulating and Accentuating Task-Irrelevant Information on Learning Efficiency: Insights for Cognitive Load Theory
Authors: Hazan-Liran Batel , Miller Paul
Published: April 2024

The paper endorses Cognitive Load Theory and offers insights into the characterization of the mechanisms underlying extraneous cognitive load and their impact on basic learning. Students were asked to learn associations between eight base-code words and eight digits, based on an example, and to rapidly apply their new knowledge in a test section. Two groups of 60 university students participated in two experiments. The study was implemented as two distinct experiments, one using color names (e.g., blue, yellow) and the other using color-related word concepts (e.g., sky, banana) for stimulation. Each experiment had two conditions that manipulated the location and salience of task-irrelevant color information (extraneous cognitive load) and its congruity with the digits’ corresponding base-code words. Findings indicated extraneous cognitive load has the potential to both sustain and undermine learning processes by varying the overall cognitive load, with gains and costs in learning efficiency resulting from essentially different processing scenarios.
Preliminary Data from the Small World of Singlish Words Project: Examining Responses to Common Singlish Words
Authors: Wong Jin Jye , Siew Cynthia S. Q.
Published: April 2024

We report data from the Small World of Singlish Words (SWOSW) Project, where word associations are obtained for a list of common Singlish words. Singapore English, colloquially known as Singlish, is a dialect of English spoken in Singapore. Free association data on these words were collected from a young adult population of university undergraduates using an online survey platform. This data enables the construction of semantic networks, allowing one to examine the semantic structure of individual words in the Singlish lexicon, as well as to compare differences in semantic structure across groups of participants.
Effect of removing the spring flush and nitrogen and phosphorus fertilization on the late ripening of cactus pear Opuntia ficus-indica (L.) Mill
Authors: Mohamed ARBA  , Ayoub BOUASRIYA
Published: April 2024

The present work aims to study the effect of removing the spring flush (scozzolatura practice) and nitrogen and phosphorus fertilization on fruit yield and quality of the late fruiting of cactus pear Opuntia ficus-indica (L.) Mill. To meet this objective, an experiment was carried out on an adult plantation of ‘Aissa’ cv in the Agadir area. Treatments of fertilization used are: T0 (not fertilized plot: contains only the soil reserve in NP: 40-20 kg N-P ha-1), T1: 226 kg N ha-1, T2: 114 kg P2O5 ha-1 and T3: 226-114 kg N-P2O5 ha-1. The whole spring flush was removed during the full flowering stage (50% flowers in bloom); it was practiced on April 20, 2019. Obtained results showed that removing the spring flush led to a second flush of flowering (reflowering) 46 days after the spring flowering and an off-season late fruiting 68 days after the seasonal fruiting. The scozzolatura practice also has improved the fruit size and taste and its content in sugars, and reduced the number of seeds per fruit. Nitrogenous and phosphor-nitrogenous fertilizations improved the emission of shoots and flowers, fruit yield and size of scozzolatured and not scozzolaturated plants and their effect is more important on scozzolatured plants than on not scoscozzolatured ones. However, phosphorous fertilization alone does not affect these phenological and yield parameters and nitrogen and phosphorus fertilizations have no effect on the organoleptic parameters of the fruits (the rate of juice and sugars and the pH and acidity titratable of the juice).
Sobre a formação lexicográfica de professores(as) de Língua Portuguesa do estado do Rio Grande do Sul: considerações a partir de um evento de formação docente
Authors: Rodrigues Bruna Colares , Carnin Anderson
Published: April 2024

O uso de recursos dicionarísticos no ensino de Língua Portuguesa, na maioria das vezes, acontece de forma inadequada, de modo que o aproveitamento de seu potencial pedagógico é significativamente prejudicado. Nesse sentido, tem se observado que a formação lexicográfica de professores(as) – inicial ou continuada – pode ser uma alternativa apropriada para a mitigação dessa problemática. O presente artigo, na esteira dessa questão, objetiva analisar a concepção de trabalho com dicionários em sala de aula apreendido a partir de comentários produzidos por professores(as) da rede estadual de educação do Rio Grande do Sul em evento online de formação continuada, com foco no trabalho com o gênero verbete de dicionário, e refletir sobre aspectos da formação docente lexicográfica apreendidos durante a interação professores(as) formadores(as) e professores(as) em formação. Trata-se de pesquisa empírica, na interface entre Lexicografia Pedagógica e Linguística Aplicada, de abordagem qualitativa e metodologia interpretativista. O corpus da pesquisa advém de registros de 22 comentários produzidos por professores(as) de Língua Portuguesa, analisados desde uma perspectiva discursiva. Os resultados sugerem que o evento de formação online é produtivo para o incremento da reflexão docente sobre o trabalho com dicionários em sala de aula, mas ainda é preciso avançar na formação lexicográfica de nossos(as) professores(as), a fim de que as possibilidades de trabalho com o dicionário em sala de aula possam ir além da consulta à grafia ou significado de determinada unidade vocabular.

Palavras-chave: Formação de professores(as) de Língua Portuguesa; Evento de formação; Formação lexicográfica; Dicionários em sala de aula
Entre a fixação/ficção da tradição: como é que fica o porvir da literatura e da crítica?
Authors: Araújo Aryadne Bezerra de , Ferreira Élida Paulina , Fernandes Alexandre de Oliveira
Published: April 2024

Um desejo de salvaguardar a crítica literária de seu suposto fim, no presente marcado pela pós-modernidade, deixa ler certo conceito de literatura ancorado pelo apreço à tradição e à “alta cultura”. Ao levar em conta a Desconstrução e sua crítica à hierarquização e à essencialização, este artigo problematiza idealidades da tradição e colabora para desestabilizar determinações ôntico-metafísicas, colocando sob suspeita e em suspensão regimes baseados em essência e comprometidos com “a” verdade. Num movimento desconstrutor, a crítica literária e a literatura, em vez de se ocuparem de conceitos estáticos e sentidos primeiros dos textos, abrem-se a outras cadeias de significação, diferenciais, pondo em devir a palavra final. Longe de se buscar conter a literatura, argumentamos serem o cânone e os embates em torno da crítica literária objetos de tensão, os quais, em nossa leitura, denunciam um poder arcôntico autoritário e reducionista, pari passu a uma literatura em porvir.
TiC-C İle Kaplanan AISI 1040 Çelik Yüzeyinin Aşınma Özelliklerinin İncelenmesi
Authors: Kılıç Musa , Gök Serkan , Adıyaman Oktay
Published: April 2024

Bu çalışmada TIG (Tungsten Inert Gas) yöntemi ile AISI1040 çelik yüzeyi TiC ve farklı oranlarda (%1,2,3,4,5) C takviyeli TiC-C tozu ile kaplanmıştır. Kaplama işlemi sonrası kaplama tabakasında oluşan sert karbür fazlarının mekanik özelliklerine etkisi (sertlik, aşınma) incelenmiştir. TiC-C kaplamanın aşınma özellikleri abrasiv aşınma testi uygulanarak belirlenmiştir. Testler ASTM G99 standardına uygun şekilde yapılmıştır. Aşınma bölgesi SEM-EDX ile mikroyapı görüntüleri çekilmiştir. Tüm kaplamalarda dendrit ve ötektik yoğun bir yapı görülmüştür. Kaplama tabakasında en düşük sertlik değeri N1 (TiC) 1156 HV0,5 iken en yüksek sertlik değeri ise N6 (TiC-%5C) 1351 HV0,5 olarak ölçülmüştür. Analiz sonucunda en düşük aşınma direnci N1 numunesinden elde edilirken en yüksek aşınma direnci ise N6 numunesinden elde edilmiştir. Analiz sonuçlarında N1 numunesinde sürtünme katsayısı 0.6 iken N6 numunesinde ise 0.2 olarak elde edilmiştir. Aşınma test analiz sonuçlarında artan C oranı ile mikrosertliğin ve aşınma direncinin arttığı, ağırlık kaybının ise azaldığı belirlenmiştir.
Derin Sahte Ses Manipülasyonu Tespit Sistemleri Üzerine Bir Derleme
Authors: Tahaoglu Gul , Kılıç Muhammed , Üstübioğlu Beste , Ulutaş Güzin
Published: April 2024

Gerçek kişilerin konuşmalarını içeren dijital ses dosyalarının kullanılması ile gerçekleştirilen derin sahte ses manipülasyonu, sesi taklit edilecek kişinin sesini klonlayarak kişinin söylemediği bir şeyi söylemiş gibi içerikte ses dosyalarını oluşturan bir sahtecilik türüdür. Konuşmacının kimliğini doğrulamak için güvenlik adımı olarak kabul edilen Otomatik Konuşmacı Doğrulama Sistemlerinin derin sahte ses sahtecilikleri saldırılarına karşı savunmasızlığı söz konusudur. Ayrıca mahkemelerde karar merciini etkileyecek delil olarak sunulan ses dosyalarının orijinal olup olmadığı kontrolü önemli bir ihtiyaç haline gelmiştir. Bu tür sahteciliklerin uzman sistemler tarafından tespit edilebilmesi günümüz çağı için oldukça önem arz etmektedir. Bu sahtecilik türündeki saldırıların tespit edilebilmesi için literatürde çeşitli yöntemler önerilmiştir. Literatürdeki çalışmalarda performans değerlendirmesinde kullanılan ücretsiz erişimli veri setleri de mevcut olup sonuç kıyaslamasında kullanabilmesi mümkündür. Bu çalışmada literatürdeki yöntemler ve verisetleri incelenmiş, yöntemlerin bu verisetleri üzerindeki performans değerlendirmeleri, avantaj ve dezavantajları vurgulanmıştır.
Silis Dumanı İkameli Çimentoların Priz Sürelerinin ANFIS ile Tahmini
Authors: Erdem Yasemin , Koçak Yılmaz
Published: April 2024

Bu çalışma, silis dumanı ikameli çimento hamurlarının priz sürelerinin ANFIS ile tahmin edilmesi amacıyla gerçekleştirilmiştir. Çalışmanın ilk bölümünde, Portland çimentosuna %0, %2.5, %5, %7.5 ve %10 oranlarında silis dumanı ikame edilerek elde edilmiş çimento hamurlarının priz başlama ve priz sonu süreleri tespit edilmiştir. İkinci bölümde, deneysel sonuçlarla Üçgen ve Gauss üyelik fonksiyonlarıyla iki model oluşturularak priz başlama ve priz sonu süreleri tahmin edilmiştir. Üçüncü bölümdeyse tahmin sonuçlarının güvenilirliği belirtebilmek için R2, MAPE ve RMSE istatiksel yöntemlerinden yararlanılmıştır. Sonuç olarak R2, MAPE ve RMSE değerleri priz başlama ve priz sonu sürelerine göre sırasıyla; Üçgen üyelik fonksiyonu için 0.9882-0.9778, 0.015156-0.018960 ve 3.8027-5.8689, Gauss üyelik fonksiyonu için ise 0.9882-0.9778, 0.015226-0.018956 ve 3.8006-5.8689 olarak tespit edilmiştir. Bu sonuçlara göre hem priz başlama ve hem de priz sonu sürelerinin Üçgen ve Gauss üyelik fonksiyonlarıyla oluşturulan modellerle “çok iyi” veya “yüksek doğruluk derecesinde” tahmin edilebileceği ifade edilebilir.
Tantangan dalam akreditasi terbitan berkala ilmiah
Authors: Wirawan Dewa Nyoman
Published: April 2024

Dengan adanya Peraturan Direktur Jendral Pendidikan Tinggi Nomor 49/Dikti/Kep/2011 tentang Pedoman Akreditasi Terbitan Ilmiah maka langkah-langkah dalam tiga tahun ke depan yang perlu ditempuh menjadi sangat jelas dan rinci baik bagi pengelola maupun calon penulis tetapi akan diperlukan kerja amat keras untuk mewujudkannya. Namun, dengan semangat yang tinggi, dedikasi dan kerja keras, baik dari pengelola maupun calon penulis, maka saya yakin akreditasi Public Health and Preventive Medicine Archive pada akhir tahun 2016 akan bisa diraih. Semoga kita semua mendapatkan berkah dari Tuhan Yang Maha Esa.
Parental willingness to pay the cervical cancer vaccination cost of senior high school aged students in Badung District
Authors: Karneli Ni Ketut , Suwiyoga Ketut , Sudibya I Gede Adnyana
Published: April 2024

The incidence of cervical cancer is high in Bali (0.8%), and more than 70% of cases are detected at an advanced stage (above 2B), making it difficult to treat. Prevention efforts are still very low; the Badung District only financed 1567 vaccinations from 8784 senior high school students, accounting for around 17.8%. Vaccination requires substantial funds, and its sustainability required community participation. This cross-sectional study aims to determine the relationship between the variables of perceived susceptibility, perceived severity, perceived benefits, perceived barriers, education and employment with the willingness of the parents to cover the costs of vaccination. A study was conducted using 196 samples from 595 populations selected by systematic random sampling, consisting of mothers of grade one high school students at SMU Petang, SMU 2 Mengwi, and SMU 1 North Kuta. The data was obtained through self-administered questionnaires. Perceived benefits and severity were measured by assessing the answers to open questions and pre-coded.  Chi square and logistic regression tests were applied when analyzing the data. The results of the analysis show that willingness of parents to cover the cost is still low (43%) with 70% of respondents willing to pay less than Rp. 237,500 for three doses. Bivariate analysis found that: perceived susceptibility [RP=1,31; 95%CI: 1,04-1,67], perceived severity [RP=1,57; 95%CI: 1,20-2,05], perceived benefits [RP=1,84; 95%CI: 1,39-2,45], education [RP=1,64; 95%CI: 1,05-2,57], perceived barriers [RP=0,89; 95%CI: 0,70-1,15] and occupation [RP=1,18; 95%CI: 0,87-1,60]. From the results it can be concluded that the perceived susceptibility, perceived severity, perceived benefits and education are related to the willingness of the parents to cover vaccine costs, however, perceived barriers and occupation were not shown to be associated. The related dominant factor is perceived benefits. It is suggested that health promotion should emphasise on the benefits of the vaccination and cervical cancer malignancy rates in order to increase people's willingness to cover cervical cancer vaccination costs.
Cigarette smoke exposure and personal hygiene as determinants for cervical pre-cancer lession in Denpasar, 2012
Authors: Dewi I Gusti Agung Ayu Novya , Sawitri Anak Agung Sagung , Adiputra I Nyoman
Published: April 2024

The prevalence of cervical cancer in Bali continues to rise (43/100.000 and in the Denpasar City is 25/100.000 in 2010). The cervical pre-cancer cases are greater of 184/100.000, eight times the number of cervical cancer cases. Pre-cancer lesion can be detected early using visual inspection of acetic acid. This study aims to explore the risk factors of self hygiene and exposure to cigarette smoke for the incidence of cervical pre-cancer lesions. This case-control study involved 60 cases and 60 controls taken from the referral registery during August 2010-December 2011. Study was conducted in two public health centres that offer early detection using visual inspection of acetic acid services in Denpasar. Respondents were interviewed using a modified See and Treat questionnaire. Data were analised using univariate, bivariate with chi square test and multivariate (logistic regression) in order to determine the most dominant risk factor. Respondents were aged 24-56 years, with mean of 41.76 years. The majority of respondents is high school graduated (87.5%), private sector employment (47.5%), the age of first marriage was >20-25 years (41.7%), parity was 2 (42.5%) and most (83.3%) did not have a family history of cancer. The study reveals that poor hygiene increased cervical pre-cancer lessions by 29 times [OR=29.57; 95%CI: 10.51-83.17]. Out of eight indicators for personal hygiene, the frequency of sanitary pads changing has the highest risk (16.44). An exposure to cigarette smoke for >4 hours/day increases cervical pre-cancer lessions by 4 times [OR=4.75; 95%CI: 2.19-10.33]. From the logistic regression analysis, personal hygiene is the most dominant risk factors. The two most significant variables in increasing risk factor for cervical precancer lesions were exposure to cigarette smoke and personal hygiene. Further attention must be paid to personal hygiene including regularity and choice of sanitary pads.
Health care-seeking from the traditional herbal healers in Denpasar City
Authors: Yuniari Sri , Suastika Ketut , Ani Luh Seri
Published: April 2024

Traditional herbal treatment is one of treatment efforts beyond medical science which is currently quite popular among people in Denpasar. Seeking health care from traditional herbal healers is not only has a positive impact but also negative ones. Excessive promotion in various media causes people to be less rational in choosing health care services. This study aims to determine the association between knowledge, attitudes, beliefs and media information with the health care-seeking from traditional herbal healers. The study design was analytic cross-sectional. Sample was consecutively selected from the population involving 129 people who have met the inclusion criteria. Data were collected by using questionnaire. Chi-square results showed that all variables examined were significantly associated with health care-seeking from the traditional herbal healers. Results from logistic regression indicated that only belief was significantly associated with the level of patient visits to traditional herbal healers (RP=6.57; 95%CI: 1.43-8.84, p=0.006 and R2=49.5%). Denpasar City Health Office should improved guidance and control the traditional herbal healers so as to provide a sense of security to the community.
Handwashing as a risk factor for increasing ventilator associated pneumonia (VAP) incidence at Sanglah Hospital, Denpasar, 2012
Authors: Azis Abdul , Sawitri Anak Agung Sagung , Merati Ketut Tuti Parwati
Published: April 2024

Ventilator associated pneumonia (VAP) is a lower respiratory tract nosocomial infection which frequently resulted from mechanical ventilation support of more than 48 hours in an intensive care unit (ICU). The incidence of VAP at Sanglah Hospital is 15.48 per 1000 days used still higher than the national standard of 10 per 1000 days used. Risk factors for VAP transmission include host condition, medical equipment hygiene and healthcare provider behaviors, including handwashing. This study aimed to analyze contributing risk factors for VAP incidence at Sanglah Hospital, specifically handwashing procedures.  Study applied a case control design with 27 cases (those with VAP) and 54 controls (non-VAP), from similar gender and age backgrounds. Case control data was obtained from medical records of 2012. Data from healthcare providers (doctors and nurses attending to the study population) was obtained through interviewing using structure questionnaires and cross checking through assessment of medical records. The univariate and bivariate data was analyzed by chi square and multivariate by logistic regression. Findings indicated that the contributing factors are healthcare provider handwashing (OR=6.11; 95%CI: 1.54-24.25), length of hospital stay (OR=4.18; 95%CI: 1.36-12.81) and associated disease (OR=4.22; 95%CI: 0.98-18.25). Nurse behaviors contributed to VAP incidence (OR=4.69; 95%CI: 1.22-18.08). Doctors indicated difficulty in adhering to handwashing protocol (the 5 moment handwashing requirements) particularly before aseptic procedure (45,1% in cases and 66,3% in control). Study indicates that poor handwashing behaviors contribute to VAP incidence. There is a need for health promotion initiatives that encourage adherence to official handwashing protocol
Risk factors of stunting for 12-36 month old children in Dasan Agung Public Health Centre, Mataram, West Nusa Tenggara Province
Authors: Najahah Imtihanatun , Adhi Kadek Tresna , Pinatih Gede Ngurah Indraguna
Published: April 2024

A very high stunting prevalence (37.17 %) was reported in Mataram City, West Nusa Tenggara. Dasan Agung Public Health Centre localed at the centre of Mataram City reports the highest stunting prevalence (27.78%) in children under 5 year of age. The study design was a cross sectional, using a sample of 158 children aged 12-36 month. The dependent variable was 12-36 month old children displaying stunting and the independent variables were socio-economic status, mother’s height, maternal age, mother’s level of education, ANC clinic visit frequency and quality of care, birth weight, exclusive breastfeeding, complementary feeding, birth order and main caregiver choice. Data was collected through interviews and anthropometric measurement. The instruments used in collecting the data were RISKEDAS and SUSENAS I modification questionnaires, microtoise and infantometer. Data analysis was conducted in stages that included univariate, bivariate (chi-square) and multivariate (logistic regression). A high prevalence of stunting (48.1%) was evident. There were six variables in the bivariate test results impacted upon of association. These were socio-economic status OR=2.83 (95%CI: 1.35-5.94), mother’s height OR=3.37 (95%CI: 1.69-6.72), ANC clinic visit frequency and quality of care OR=2.3 (95%CI: 1.21-4.36), birth weight OR=20.47 (95%CI: 1.16-354.25), exclusive breastfeeding OR=4.94 (95%CI: 2.51-9.74)  and complementary feeding OR=6.38 (95%CI: 3.18-12.78). The variables of maternal age, mother’s level of education, birth order and main caregiver choice were not influencing factors. In the multivariate analysis, the dominant variables increasing risk factors was complementary feeding giving OR=7.4 (95%CI: 1.54-34.97), mother’s height OR=2.9 (95%CI: 1.27-6.42) and ANC clinic visit frequency and quality of care OR=2.4 (95%CI: 1.09-5.19). It is recommended that there be efforts to improve the nutrition intake of young girls, women of productive age, pregnant women and children under five years old.
Risk factors of breast cancer in women at Sanglah General Hospital
Authors: Trisnadewi  , Sutarga I Made , Duarsa Dyah Pradnyaparamita
Published: April 2024

Breast cancer is the most common cancer that found in women. More than 800,000 newly identified breast cancer cases are diagnosed in the whole world annually. In Indonesia, breast cancer is the second common cancer among women after servical cancer. Risk factors of breast cancer include pregnancy history, age at first pregnancy, breast feeding history, utilization of hormonal birth control, menarche history, genetic tendencies and past breast infections. This study aimed to assess the risk factors that contribute to increasing breast cancer incidence in cancer patients at Sanglah Hospital. Research used a matched paired case-control study with a sample of 38 female breast cancer patients and 38 female non-cancer patients with similar backgrounds, age and address. Data was collected through questionnaire. Data analysis was conducted using bivariate with McNemar test and multivariate analysis using logistic regression. The result of bivariate analysis showed that risk factors that increased breast cancer included breast disease history (OR=13.5; 95%CI: 3.21-56.77) and genetic tendencies (OR=8; 95%CI: 1.84–34.79). The result of multivariate analysis showed that the only significant risk factor was breast infection history (OR=43.19; 95%CI: 8.79-212.27). Future recommendations include increased health promotion about the importance of early detection and screening, as well as information related to the dangers of breast infection/disease. National policy regarding access to mammography facilities should also be prioritised.