bluuebunny/crossref_metadata_2025 huggingface dataset:
Monte Carlo Simulation of Gamma and Neutron Shielding with High-performance Ultra-heavy Cement Composite
Authors: Alipoor Mohammadreza , Eshghi Mahdi , Sever Ramazan
Published: December 2024

Purpose:

As the applications of nuclear technology increase in today’s world, radiation protection becomes even more important. Radiation protection is important in medical imaging applications and radiotherapy rooms. Therefore, in this research, we have investigated features of the ionizing radiation shielding of the modified cement composite with iron, strontium, zinc, and zirconium elements in the photon energy range of 15 keV to 10 MeV.

Materials and Methods:

To extract such features, it is necessary to use a computational method. In this research, we have done all our calculations based on the Geant4 tool based on the Monte Carlo method. This tool is a multipurpose tool that can be used for particle transport calculations such as electrons, protons, neutrons, heavy charged particles, and photons in different environments such as human tissues.

Results:

The mass attenuation coefficient of the samples was calculated using the Geant4 Monte Carlo simulation tool and compared with the results of the Phy-X program, which was in good agreement. To evaluate the radiation shielding capabilities, other quantities such as the linear attenuation coefficient, the thickness of the tenth value layer, the thermal neutron cross-section, absorption rate of thermal neutrons, and the cross-section of the fast neutron removal are determined.

Conclusions:

According to the quantitative results, cement composite is more effective in absorbing and weakening gamma and neutrons. Calculations of radiation shielding quantities show that cement composites containing tungsten carbide and thallium oxide waste powder are a suitable combination and a practical material for radiation control. In addition, by returning industrial waste to the production sector, they will also be effective in reducing environmental pollution. In general, the cement composite sample containing iron, thallium, zinc, zirconium, tungsten, and carbon elements shows a high potential for radiation protection applications. This study highlights the effective radiation shielding potential of cementitious composites and demonstrates the importance of advancing safety measures in medical and industrial radiation applications.
Effectiveness of Automated Treatment Planning for Left-sided Breast in Flattening Filter-free Photon Beams
Authors: Tansangworn Prasit , Chatchumnan Nichakan , Saksornchai Kitwadee , Kingkaew Sakda , Vimolnoch Mananchaya , Oonsiri Puntiwa , Oonsiri Sornjarod
Published: December 2024

Purpose:

Electronic compensator is a time-consuming technique for breast cancer radiation treatment planning, consequently, this presents challenges for the development of automated treatment planning for the treatment plan. Thus, this study aimed to investigate the use of automated treatment planning software for the left breast.

Subjects and Methods:

Thirty-eight patients with left-sided breast cancer without locoregional nodes were treated with a prescribed dose of 42.4 Gy in 16 fractions. Treatment planning was performed using electronic compensators. In addition, automated treatment planning techniques were utilized, which involved automated plan generation. This facilitated the comparison of dosimetric parameters: target volume (Dmax, homogeneity index [HI], and conformity index [CI]), organs at risk, plan parameters, and quality assurance.

Results:

The automated treatment planning exerted lower Dmax of PTV_Eval compared to electronic compensator techniques, that is, 43.4 ± 1.1 Gy and 43.9 ± 1.1 Gy, respectively (P < 0.05). Similarly, the HI of automated treatment planning was lower than other techniques, 0.10 ± 0.04 and 0.08 ± 0.03, respectively (P < 0.05). However, there were no significant differences in the CI or organs at risk between the two techniques (P = 0.11). In plan parameters, automated treatment planning required lower monitor units compared to the electronic compensator techniques, i.e., 534.3 ± 47.4 and 724.5 ± 117.9, respectively (P < 0.05). Furthermore, the automated treatment planning significantly reduced treatment time compared to electronic compensator techniques, that is, 2.3 ± 0.5 and 41.8 ± 15.1 min, respectively (P < 0.05).

Conclusions:

Automated treatment planning improved the treatment plan homogeneity, reduced hotspots, enhanced treatment planning efficiency, and reduced treatment planning time and doses comparable to those of normal organs.
Impact of Number and Placement of High-dose Vertices on Equivalent Uniform Dose and Peak-to-valley Ratio for Lattice Radiotherapy
Authors: Bhagyalakshmi A. T. , Ramasubramanian Velayudham
Published: December 2024

Aims:

This study evaluated the influence of high dose (HD) vertex numbers and its placement on equivalent uniform dose (EUD) and peak-to-valley dose ratio (PVDR) in lattice radiotherapy (LRT).

Settings and Design:

One hundred and eighty-eight RapidArc (RA) plans were created for a cohort of 15 patients.

Materials and Methods:

RA plans were created with zero to eight HD vertices to analyze their relationship with EUD. Eight lattices were systematically and optimally placed (by avoiding proximity to organs at risks [OARs]) to study the impact of vertex placement. Variations in PVDR were assessed using PVDR1 (mean dose to HD vertices by the difference of mean doses to planning target volume [PTV] and HD vertices) and PVDR2 (D10/D90 of PTV in composite plans) across 38 RA plans with HD vertex doses of 9 Gy, 12 Gy, 15 Gy, and 18 Gy. PVDR3 (product of PVDR1 and PVDR2) was evaluated for its variation with peak dose.

Statistical Analysis Used:

Hypothesis testing between vertex placements was performed using a two-tailed Student’s t-test.

Results:

EUD values ranged from 32.88 Gy to 40.63 Gy. In addition, statistical analysis revealed significant associations (P = 0.0074) between the placement patterns of HD vertices, both in systematic and optimized arrangements. The PVDR and D10/D90 product values were 1.6, 1.8, 2.1, and 2.3 for peak doses of 9 Gy, 12 Gy, 15 Gy, and 18 Gy, respectively.

Conclusions:

The addition of one HD vertex increased EUD, emphasizing the impact of individual vertex increments on outcomes. Systematic and optimized vertex placements enhance EUD, with optimized placement yielding better doses to PTV and OARs. PVDR3 offers superior dose reporting for LRT compared to PVDR1 and PVDR2.
Investigating Safe and Economic Adjustment of Power Balance in Smart Grids Based on Integration of Renewable Energy
Authors: Zhang Hongyan
Published: December 2024

The present pace of integration of renewable sources into the electrical grid is insufficient, failing to fulfill the expectations of producers or coincide with sustainable national objectives. Furthermore, sustainable national policies are not being executed. Despite the growth of the solar and wind energy industry and the installation of decentralized energy production systems, this scenario has emerged. Several factors contribute to this scenario, including advancements in administration, forecasting, and oversight, along with enhancements in infrastructure. These issues may arise notwithstanding the decentralized nature of renewable energy sources. The integration rate of renewable energy sources into networks, along with the efficiency of these networks, is clearly hindered as a result of this. Furthermore, we will examine the problems associated with the implementation of this network. We will focus on the low injection rate and the balance between supply and demand. Subsequently, we will examine the impact they have on the operation of the interconnected system. We will provide management solutions tailored to each detected issue, along with the suggested cures for any recognized concerns. The aim is to discover the structures, procedures, and tools that will enhance the network's reliability and energy efficiency while simultaneously reducing installation costs and fortifying the network. The findings indicate that the interruptions in voltage, frequency, and power have been mitigated due to the dynamic simulations using the proposed method. The calculations were predicated on an integration of solar and wind energy, with twenty percent of the energy derived from wind.
A journey toward sustainable biofuel: Unlocking the renewable energy potential of Nipa (Nypa fruticans) from mangrove forests in Indonesia
Authors: Prasetyo Cahyo Purnomo , Effendi Agus Jatnika , Chaerul Mochammad
Published: December 2024

The growing global environmental degradation, driven by centuries of fossil fuel use, underscores the urgent need for a transition to renewable energy sources, including biofuels. This shift calls for sustainable biofuel feedstocks from agricultural plants that do not compete with food supplies. Nipa (Nypa fruticans), a native bioresource of Indonesia, emerges as a promising candidate for such sustainable biofuels. While Nipa's ecological role in mangrove forests is well-documented, many of its attributes remain underexplored or scattered across various sources. This study aims to provide a comprehensive review of Nipa by examining data from leading databases such as ScienceDirect and Google Scholar. It synthesizes information on Nipa's morphology, distribution, product characteristics (both chemical and physicochemical), and the technological aspects of its biofuel processing. Additionally, the study assesses Nipa's potential as a biofuel within the national energy system and its alignment with sustainability frameworks such as UNECE and GBEP. The findings affirm that Nipa's potential as a renewable and sustainable energy source is supported by its economic, environmental, and social benefits. This study serves as a foundational step toward advancing the development of Nipa as a bioresource with significant future economic potential.
Toxic effects of benzene on aquatic organisms with different trophic levels in simulated accidental spills using indoor artificial streams
Authors: Park Seonghwan , Lee Sangjun , Yeom Dong-Hyuk
Published: December 2024

Benzene, a toxic hydrocarbon, poses a significant threat to aquatic ecosystems, but the impact of accidental spills on aquatic organisms remains underexplored. This study simulates short-term benzene exposure in an artificial stream, evaluating its effects on aquatic species from different trophic levels, including periphytic algae, invertebrates (Moina macrocopa, Glyptotendipes tokunagai, Limnodrilus hoffmeisteri), and fish (Zacco platypus, Aphyocypris chinensis). Benzene concentrations of 150, 330, and 726 mg/L were introduced for 4 h to assess the biological responses of these species and their potential as sentinel species. Z. platypus exhibited the highest sensitivity, with significant mortality during benzene exposure, suggesting its potential as an early sentinel species. During post-exposure period, M. macrocopa exhibited reduced survival and fecundity, though reproductive recovery was observed over time. G. tokunagai populations also declined at high benzene levels. In contrast, periphytic algae, L. hoffmeisteri, A. chinensis, and fish growth were largely unaffected. These findings highlight the varying susceptibility of aquatic species to benzene exposure and suggest that Z. platypus, M. macrocopa, and G. tokunagai may be valuable for monitoring both immediate and delayed toxic effects in aquatic environments following benzene spills.
Uma análise de gênero no Departamento de Matemática da Universidade de Brasília
Authors: Rodrigues Luciana Maria Dias de Avila , De Sousa Luiz Melissa , Duarte Marçal Thais Regina
Published: December 2024

Este estudo aborda a questão de gênero no contexto do ensino superior, com foco na Matemática, onde as mulheres ainda enfrentam sub-representação, refletindo um ambiente predominantemente masculino. Foi realizada uma análise descritiva dos dados do Departamento de Matemática (MAT) da Universidade de Brasília (UnB), examinando a distribuição de homens e mulheres entre os ingressantes e concluintes dos cursos de graduação e pós-graduação, bem como entre os docentes e ocupantes de cargos administrativos. O objetivo é contribuir para a discussão e a conscientização sobre a questão de gênero no contexto acadêmico, estabelecendo comparações com o cenário brasileiro.
Além de Números: Masculinidades Sob o Olhar da Pesquisa em Educação Matemática
Authors: Alves de Almeida Dione , Júnio Lessa Gonçalves Harryson
Published: December 2024

O presente estudo tem por objetivo analisar a literatura na área da Educação Matemática, focando especificamente nas representações e influências das masculinidades como objeto de análise. Para isso, foi realizada, no portal de periódicos da Coordenação de Aperfeiçoamento de Nível Superior (CAPES), uma Revisão Sistemática de Literatura (RSL), em que, a partir do marco temporal de 2000-2023 e dos descritores “Masculinidades” e “Matemática” – também traduzidos para o idioma de língua inglesa, construiu-se um corpus de 10 artigos. Posteriormente a isso, os dados foram tratados e analisados por meio de análise de conteúdo, cujas reflexões se aproximam do conceito de masculinidades adotado nos trabalhos e como isso está imbricado no ensino e aprendizagem da Matemática. Seus resultados indicam uma visão maniqueísta do gênero, violências simbólicas, barreiras para ascensão na carreira e discursos que tornam a masculinidade hegemônica nas aulas de matemática.
Preventing Depression in Grandparents Raising Grandchildren: An Educational Video Series
Authors:   , Casares Sabrina
Published: December 2024

This paper presents a doctoral capstone project that created and implemented a self-help occupation-based educational video series to prevent and manage depression among grandparent caregivers. It consists of a literature review regarding the impact of depression on grandparent caregivers, the population’s barriers and statistics relating to the correlation of developing depression as a grandparent caregiver. It includes the process to create the video series including review of the literature and the development process. Texas Grandparents Raising Grandchildren (TXGRG) is a non-profit organization dedicated to providing resources and support to empower and advocate for grandparent caregivers. Problem: There is a lack of mental health resources, especially self-help approaches, for grandparents assuming the role of caregiver for their grandchildren. TXGRG does not have a mental health resource of their own that addresses depression for individuals to access and utilize. Purpose: The purpose of this project was to create an educational online video series for TXGRG on an occupation-based self-help approach for grandparents to prevent and/or manage depression. The creation of this capstone project fills the need for an accessible preventive mental health resource for TXGRG and the grandparent caregiver community. This paper presents the outline and scripts for the video series, the links to the YouTube channel and playlist of the video series, and a discussion of its implications of the video series to the target population.
The political potential of the digital generation
Authors: Dmytrenko Oksana
Published: December 2024

The purpose of this study was to identify the specific features of young people’s political activity in the context of digital transformation and to assess the potential of digital tools to overcome the crisis of trust in democratic insti- tutions. The study employed a case study method to analyse digital “revolutions”, a comparative analysis of the levels of political activity of young people in different countries, and a content analysis of social media to investigate new forms of political participation. The findings of the study revealed substantial differences in young people’s political engagement between developed and developing democracies. Developed countries show a declining trend in conventional forms of po- litical participation, while the role of digital platforms in political mobilisation is growing. In developing countries, digital technologies are often used as a tool for protest and struggle against authoritarian regimes. The study revealed a tendency towards individualisation of political participation and globalisation of the political consciousness of young people, which is manifested in a focus on concrete issues and participation in transnational movements. The analysis showed that digital platforms are creating new opportunities for political participation, including through online petitions, crowdfunding of political campaigns, and digital platforms for participatory democracy. At the same time, the risks associated with digital inequality, manipulation, and disinformation in the online space were identified. The study demonstrated the potential of digital tools to increase transparency and accountability of the authorities, which can help restore young people’s trust in democratic institutions. Specifically, the study covered the effectiveness of such tools as open data portals, e-government platforms, and e-voting systems. The analysis of new vectors in the development of digital democracy, such as the integra- tion of artificial intelligence and blockchain technologies, has revealed considerable potential for transforming political processes, but also highlighted the need to accommodate the ethical aspects and potential risks of their implementation. The findings of this study are significant for developing strategies to engage young people in political processes and mod- ernise democratic institutions in the digital age
“A thief can steal a thing, but this does not grant them ownership over it”: Excerpts from the diary of the Permanent Representative of Ukraine to the UN on the diplomatic confrontation with Russian aggression in 2014 (part 2).
Authors: Sergeyev Yuriy
Published: December 2024

Sasha, a marine. Events on 4-10 March at the UN. The Security Council (SC) meeting on 3 March was broadcast live and in full in Ukraine. I received many texts and letters of support from friends and strangers alike. I was pleased that Leonid Danylovych Kuchma called me with support and advice. “Crush him” (Churkin)” – Prime Minister Arseniy Yatsenyuk emotionally shouted into the phone along with his advice and support. From that moment on, Arseniy Yatsenyuk called several times a day, asking about the plans of our Permanent Mission to the Security Council and the UN General Assembly. He positioned himself not as a boss, but as a concerned partner.
The 2022 food crisis: Big politics and market uncertainty
Authors: Toktosunova Cholpon , Sattarov Karim
Published: December 2024

The purpose of this study was to analyse the political and economic factors that led to the aggravation of the global food crisis in 2022 and to assess the effectiveness of international mechanisms to overcome it. The study found that the Russian-Ukrainian war, the energy crisis, and macroeconomic instability were the key factors behind the crisis. It was found that the blocking of Ukrainian ports and restrictions on grain exports from Ukraine and Russia led to a significant shortage on the world market and a rapid rise in food prices. The analysis showed that rising energy prices led to an in- crease in production costs in the agricultural sector, especially for fertiliser production, which had a negative impact on the cost of agricultural production. High global inflation and exchange rate fluctuations were found to have put additional pressure on food markets, especially in developing countries. The study found that high market uncertainty and increased financial speculation in agricultural markets led to increased price volatility and a disconnect between stock prices and fundamental supply and demand factors. It was found that the introduction of export restrictions by many agricultural producing countries further increased market uncertainty and led to further price increases on the world market. The analysis of the effectiveness of policy decisions and international initiatives showed that national measures, such as increased public food purchases and expanded social support programmes, helped stabilise internal markets, but their effectiveness varied depending on the economic capacity of each country. It was found that international organisations played a key role in coordinating global efforts to overcome the crisis, but the effectiveness of their actions was often lim- ited by the difficulty of access to conflict zones and insufficient funding. The practical significance of the obtained findings lies in the possibility of their use for forecasting the political and economic situation in the context of future food crises
Exhibition dedicated to P.P. Melnikov — the first Minister of Railways
Authors: Lastochkina L. M.
Published: December 2024

The exhibition is dedicated to the founder of the railway industry Pavel Petrovich Melnikov (1804–1880). It reﬂects the main stages of the life and work of the outstanding railway engineer. The exposition is organized for the 220th anniversary of the scientist’s birth.An overview of unique museum items and archival documents is presented, more than 100 authentic items from the mid-19th – early 20th centuries, reﬂecting Melnikov’s work at the Institute of the Corps of Railway Engineers. It describes his business trips to Western Europe and the USA, the construction of the St. PetersburgMoscow Railway — the ﬁrst main line of the country, and his work as Minister of Railways. Melnikov personally delivered many items to the museum.
PENGARUH GAYA HIDUP BERBELANJA TERHADAP PERILAKU PEMBELIAN IMPULSIF PENGGUNA E-COMMERCE SHOPEE
Authors: Dara Khoiruni Arwa Salsabila  , Rahma Aulia Agustin  , Dimas Madu Nasrullah  , Yulekhah Ariyanti  , Ratih Pratiwi
Published: December 2024

In the digital era that is increasingly developing rapidly, consumer behavior has experienced major changes, especially in the context of e-commerce. Platforms like Shopee enable consumers, especially students, to make purchases more easily and quickly, resulting in the phenomenon of impulse buying, often influenced by shopping lifestyles. This research, which is quantitative in nature, aims to examine the influence of the shopping lifestyle on impulse buying behavior among Wahid Hasyim University students who are Shopee users.
The research population was Wahid Hasyim University students who used Shopee, with a sample of 99 respondents determined using the Slovin formula. Then data was collected using a questionnaire with a 1-5 Likert scale and analyzed through simple linear regression with the help of SPSS version 22. The results of the study revealed that the shopping lifestyle has a positive and significant influence on impulsive buying behavior. These findings indicate that the higher the shopping lifestyle of students, the more likely they are to make impulse purchases on the Shopee platform.
Impact of Agricultural Inputs on Paddy Cultivators of Hassan
Authors: Dr. S Jayalakshmi Priya
Published: December 2024

Regarding the impact of agricultural inputs on productivity of farmers in Hassan district the sample area taken was four taluks. Holenarsipura Arakalgudu Narayana pura and Alluru. 50 farmers growing paddy from each of these four sampled taluks where chosen for the study. The research gap suggested that there was a huge shortage of procurement of healthy seeds, no new farm machinery, lack of agricultural finance, irrigational facilities was not harnessed effectively. There was water shortage, fertilizers shortage, soil incompatibility and   old stock pesticides were available. These were core requisites which was not readily available to the cash strapped farmers. Lack of capital was the main reason for low production. Even the labour was seasonal and most of the times never returned postharvest as they found employment elsewhere. The research methodology used was both primary and secondary data.   Analysis for interpretation and the computation of the data collected by interview method from the farmers where compiled and analyzed by means of the percentage method, regression analysis and F-test. The findings showed that the unfavorable procurement of inputs which was basically needed to increase and usher in a bountiful production was woefully inadequate. conclusion portrayed that still 70% of the farmers were using old traditional methods for cultivation of paddy.
Emotional Intelligence, Mindfulness and Resilience Among Emerging Adults
Authors: Sharon Susan Anil  , Ardhra Tom Michael  , Arlene Salil  , Krupa Dinah Mathews
Published: December 2024

In this workaholic world the emerging adults are dealing with stressful situations. They find difficulty in coping or adapting with successive and challenging routines in daily life including both personal and external factors. Emotional Intelligence refers to a set of experiences, including self- awareness mood management, self-motivation, empathy and managing relationship. Mindfulness is inherently a state of consciousness which involves attending to one’s moment to moment experience. Resilience which means the ability to adapt and bounce back from adversity guided by Emotional Intelligence. The prime focus of the study is to find the relationship between Emotional Intelligence, Mindfulness and Resilience. The study consisted of 97 participants of age 18-25 years old and the participants were selected using convenience sampling method. The research instruments used were Brief Emotional Intelligence Scale-10 (BEIS-10), Mindfulness Attention Awareness Scale (MAAS-15), Nicholson McBride Resilience Questionnaire (NMRQ-12) to measure Emotional Intelligence, Mindfulness and Resilience respectively. The data was collected by using Google form. The collected data was analysed using SPSS. The data was not normally distributed.  The statistical technique used was Spearman’s Rank Correlation. The result obtained shows that there is a significant correlation between Emotional Intelligence and Mindfulness as well as emotional intelligence and Resilience among emerging adults. The result also showed that there is significant relationship between Mindfulness and Resilience among emerging adults. This study could serve as a basis for building and promoting adequate coping strategies and mental health interventions for the emerging adults.
Tuzlu Suda Metan Hidrat Oluşum Koşullarının Tahmini için Regresyon Algoritmalarının Karşılaştırmalı Analizi
Authors: Demirci Uzun Sema , Onan Aytuğ , Bulut Vahide
Published: December 2024

Petrol ve gaz borularında hidrat oluşumu, akış sürekliliği için en önemli faktörlerden biridir. Hidrat oluşumu, boruların tıkanmasına yol açabilmektedir, güvenlik ve ekonomik açıdan sorunlara neden olabilmektedir. Bu nedenle, hidrat oluşum ve bozunma koşullarının belirlenmesi ve analizi önemli bir araştırma problemidir. Bu amaçla, geleneksel kimyasal deneylere ve analizlere dayalı birçok çalışma gerçekleştirilmiştir. Doğal gaz hidrat oluşum ve bozunma mekanizması üzerindeki çevre koşullarının etkisinin karmaşık yapısı, yüksek başarımlı hidrat oluşum koşulu tahmin ve analiz yöntemleri geliştirmek için makine öğrenmesi algoritmalarının kullanımını uygun kılmaktadır. Bu çalışma kapsamında, doğrusal regresyon, karar ağacı, destek vektör makineleri, Gauss süreç regresyonu algoritmalarına dayalı on sekiz temel makine öğrenmesi algoritmasının etkinliği, tuzlu suda metan hidrat oluşum sıcaklığının basınca ve iyon konsantasyonlarına dayalı özniteliklere bağlı olarak belirlenmesi için değerlendirilmektedir. Deneysel analizlerde kullanılan regresyon modelleri incelendiğinde, Gauss süreç regresyonu tabanlı algoritmaların R-kare ölçütü bakımından, analizlerde kullanılan diğer yöntemlere kıyasla daha yüksek başarım elde ettiği görülmektedir. Karşılaştırmalı analizde dikkate alınan tüm konfigürasyonlar arasında en başarılı sonuçlar, hem ortalama mutlak hata (RMSE= 0.9517), hem ortalama kare hatası (MSE=0.9058) hem de R-kare ölçütü (R-kare=0.99) cinsinden rasyonel ikinci dereceden Gauss süreç regresyonu algoritması ile elde edilmektedir.
Kamu İçin Teknoloji Tahmin ve Öngörüsü Hakkında Yeni Bir Model Tasarımı: Kamu Politikaları İçin Savunma Sanayii Teknoloji Öngörüsü Modeli
Authors: Çalışkanlar Turgut Muhammet , Çakır Serhat
Published: December 2024

Çalışmada Savunma Sanayii özelinde kamuda kullanılmak üzere Teknoloji Tahmin ve Öngörü Metotlarının birlikte kullanılmasına imkân sağlayan “Kamu Politikaları İçin Savunma Sanayii Teknoloji Öngörüsü Modeli” açıklanmıştır. Çalışmada İnsansız Kara Araçları Sistemleri (İKAS) Teknoloji Öngörüsü konulu “Delphi Sorgulaması” sonuçları ile yapılan bibliyografik araştırmanın verilerinden istifade edilmiştir. Amaç modelin anlatılması olduğu için veriler anonimleştirilerek sadece bir tutamak ve hedef kitlenin anlamışını kolaylaştırıcı bir ortam sunmak maksadıyla kullanılmıştır. Sunulan verilerden istifade edilerek kısa, orta ve uzun vadede iyimser, öngörülen ve kötümser senaryolar üretilmiş ve Savunma Sanayii Politikalarına nasıl yansıtılabileceğine dair örnek bir politika tavsiyesi sunulmuştur. Tasarlanan çalışmada hangi teknolojilere kısa, orta ve uzun vadede yatırım yapılırsa daha etkin sonuçlar elde edilebileceğine dair örnek tavsiyeler sunulmuş ve modelin geliştirilmeye ihtiyaç duyulabilecek yanları tartışılmıştır.
Açısal Momentum Kontrolü İçin Rijit Dinamik Simülasyon Kullanılarak Mekanik Bir Jiroskop Volanının Tasarımı
Authors: Yalcın Mehmet Kursat
Published: December 2024

Jiroskoplar, harici nesneyi referans almadan üç boyutlu uzayda dönüşü algılayan cihazlardır. Mekanik jiroskoplar ise tork üreten mekanizmalardır. Bu torka, jiroskopik tork da denmektedir. Kontrollü tork üretmek için kullanılan jiroskoplar, kontrol momenti jiroskopları olarak adlandırılmaktadır. Mekanik jiroskopların en hayati parçası ise volandır. Volan tasarımlarında boyut ve dönme hızı tasarım parametreleridir. Bu makalede, dikey yerleştirilmiş, ağırlık torku sayesinde çalışan, bir volanlı mekanik jiroskopun volanının tasarımı rijit cisim simülasyonu ile elde edilmiştir. Bu amaçla optimizasyon yöntemi kullanılmıştır. Optimizasyon için Latin Hypercube Sampling Design yöntemi kullanılarak yüz adet nokta oluşturulmuştur. Cevap fonksiyonunun elde edilmesinde non-parametrik regresyon metodu kullanılmıştır. Minimizasyon için genetik algoritma yöntemi kullanılmıştır. Nütasyonun ve harcanan enerjinin minimum olması, jiroskopik torkun en fazla olması amaçlanmıştır. Bu amaçları sağlayan optimum hız ω=164,3941 rad/s ve radyus ise r=0,143839 m olmaktadır.
Bir Fabrika Mutfağı Örneği: Kapsamlı Risk Analizi Ve İyileştirme Önerileri
Authors: Arıcak Filiz , Çağlarer Evren
Published: December 2024

Fabrika, hastane, askeriye gibi yüksek kapasitede yiyecek ve içecek üretimi ve servisinin yapıldığı yerlerde ciddi iş kazalarının gerçekleşmesi muhtemeldir. Bu yüzden bu alanlardaki ısıl işlemler, elektrikli ekipmanlar, havalandırma sistemleri ve hijyen gibi durumlar iyi yönetilmelidir. Proaktif yaklaşımlar sayesinde her türlü kaza ve mesleki hastalıklara karşı hazırlıklı olunabilir ve çalışan güvenliği sağlanabilir. Risk değerlendirmeleri potansiyel tehlikenin yönetimi için yol gösterici olup proaktif yaklaşımın hayata geçirilmesinde etkili bir parametredir. İş sağlığı ve güvenliği esas alınarak hazırlanan üretim politikaları sayesinde en olası mutfak kazaları öngörülebilir ve zarar görmeden önlenebilir. Özellikle hijyen beklentisinin en üst düzeyde olduğu bu alanlarda böylece sağlıklı çalışma ortamları sağlanmış olur. Bu çalışmada Trakya bölgesinde 1985 yılından beri faaliyet yapan 750 çalışanı olan ve NACE kodu itibariyle tehlikeli sınıfa ait bir fabrikanın mutfak alanına ve çalışanlarına yönelik bir risk analizi hazırlanmıştır. Yöntem olarak L tipi Karar Matrisi yöntemi kullanılmıştır. Yöntem tek bir analistin kendi başına yapabileceği türde olduğundan sıklıkla tercih edilen yöntemlerden birisidir. Risk analizine dahil edilen ortama ait 18, mutfak çalışanlarına ait 8 tehlike ve riskleri tayin edilmiştir. Bu çalışmanın amacı, endüstriyel mutfaklarda iş sağlığı ve güvenliği (İSG) risklerinin azaltılmasına katkıda bulunmaktır.
E-Atık Geri Dönüşümü: Bibliyometrik Analiz ve VOSviewer ile Haritalama
Authors: Kırlı Akın Hediye
Published: December 2024

Kullanım ömrünü tamamlayan elektrikli ve elektronik eşyalar, teknolojinin de gelişimine bağlı olarak hızla artmakta ve çözülmesi oldukça zor bir e-atık problemi olarak karşımıza çıkmaktadır. Her geçen gün birikmeye devam ederek küresel bir kriz haline gelen e-atıkların geri kazanımları da diğer atıklardan oldukça farklıdır. Gerek bertaraf yöntemleri açısından gerekse içerisinde hem tehlikeli maddeleri hem de kıymetli metalleri barındırıyor olması açısından bir süredir araştırmacıların da dikkatini çekmiş ve konuya ilişkin pek çok çalışma yapılmıştır. Bu çalışma ise e-atıkların geri dönüşümü ile ilgili yapılan çalışmaların bibliyometrik bir analizi üzerinedir. Çalışmada öncelikle Web of Science veri tabanından 20 yıllık süreci kapsayacak şekilde e-atıkların geri dönüşümü üzerine 2003-2022 yılları arasında yapılan çalışmalar belirlenmiştir. Sonrasında bu çalışmalar filtrelenerek ve detaylı incelemeye tabii tutularak ilgisiz olanlar elenmiştir. Kalan 3182 çalışma kaydedilerek, VOSviewer programı kullanılarak ortak yazar, atıf-kaynak, yazar-atıf, anahtar sözcük, kurum ve ülkeler açısından detaylı analizler gerçekleştirilmiştir. Çalışmalar sonraki çalışmalara yön verecek şekilde sınıflandırılmış ve haritaları çıkarılmıştır. Analiz çalışmalarında sonuç olarak bu konuya ilişkin en çok çalışmanın Çin’de yapıldığı, en verimli araştırmacının aynı zamanda en çok atıfı da alan Mai Bi-Xian olduğu belirlenmiştir. En sık kullanılan anahtar kelimeler recycling ve e-waste olup en çok atıf alan dergi ise Environmental Science & Technology dergisidir.
Düzlemsel Elektrolit Destekli Tek Odacıklı Katı Oksit Yakıt Pilinin Tek Aşamalı Ortak Sinterleme Yöntemiyle Üretimi ve Elektriksel Performansına Etkisi
Authors: Sayan Yunus , Kim Jung-sik , Wu Houzheng
Published: December 2024

Bu çalışma, önceki çalışmalarda sunduğumuz katot ve anot destekli düzlemsel tek odacıklı katı oksit yakıt pillerinin (TO-KOYP) üretimi için geliştirilmiş tek adımlı ortak sinterleme yönteminin elektrolit destekli düzlemsel TO-KOYP’lerin üretimine uygulanabilirliğini araştırmaktadır. Ayrıca bu yöntemle elde edilen elektrolit destekli düzlemsel TO-KOYP’lerin enerji dönüşüm kabiliyetleri test edilmiştir. Pillerin anot, elektrolit ve katot katmanları için kullanılan malzemeler sırasıyla; nikel oksit (NiO)–gadolinyum katkılı ceria (CGO), CGO ve lantan stronsiyum kobalt ferrit (LSCF))–CGO’dan oluşmaktadır. Optimize edilmiş sıcak presleme ve sinterleme ayarlarıyla birlikte iyi tanımlanmış kalınlık oranı ve kalınlığa sahip elektrolit destekli düzlemsel bir TO-KOYP’nin tek aşamalı ortak sinterleme yöntemiyle üretebilirliği görülmüştür. Sinterleme sırasında çatlama ve delaminasyon olmadığı fakat pilin kenarlarında eğriliğin olduğu görülmüştür. Pilin diğer destek türlerinde yapıldığı gibi sinterleme sırasında pil üzerine yerleştirilen belirli kütleye sahip gözenekli alümina plakaları kullanılarak eğrilik oluşumu engellenmiş neredeyse tamamen düz bir pil elde edilmiştir. Elde edilen piller 600°C’de farklı yakıt/oksijen oranlarına sahip metan-oksijen-nitrojen gaz karışımlarında tek haznede test edilmiştir. Elektrolit kalınlığının arttırılması, pilin tek aşamada ortak sinterlenebilirliğinin artmasına yol açmasına rağmen pil performansı üzerinde olumsuz etkilere sebep olmuştur. Nihai düzlemsel pilin (kalınlık 60-300-40 µm, anot-elektrolit-katot) maksimum güç yoğunluğu ve açık devre voltajı (OCV) yakıt açısından zengin durumda (gaz karışımı 7, CH4-O2-N2 100-38-100 ml dk-1, R:2,6) sırasıyla; 14,4 mW cm-2 ve 0,55 V olarak bulunmuştur. Maksimum güç yoğunluğu ve OCV nihai düzlemsel pilden daha ince bir elektrolite sahip olan fakat kenarlarında eğrilik bulunan pil 1’den aynı gaz karışımında sırasıyla 29,39 mW cm-2 ve 0,55 V olarak elde edilmiştir.
Enhancing Aorta Segmentation in Contrast CT Images: A Novel Deep Architectural Approach
Authors: Bozkır Ömer Faruk , Urfalı Ataberk , Çelikten Azer , Demirel Semih , Budak Abdulkadir , Karataş Hakan , Ceylan Murat
Published: December 2024

Manual segmentation of patient CT images is both time-consuming and labor-intensive. Additionally, classic image processing techniques are insufficient in CT images due to the close pixel values of tissues. Automatic segmentation of the aorta in human anatomy can reduce healthcare workers' workload in preoperative planning. This study compares the performance of the AKG-Unet segmentation model with other models (U-Net, Inception UNetv2, LinkNet, SegNet, and Res-Unet) on thoracic aorta, abdominal aorta, and iliac arteries segmentation in contrast CT images. Initially, pixel intensities in the Kits and Rider datasets were recalibrated. Then, 2D axial images underwent resizing and grayscale normalization. Segmentation models have been trained and tested with 5-fold cross-validation. 2D prediction masks were stacked to generate a 3D output, and spatial information was transferred to the predicted mask. In the 3B aortic segmentation, small objects adjacent to it were removed using image processing techniques. In our study, the AKG-UNET model achieved the highest segmentation results on the AVT dataset with a Dice score of 91.2%, Intersection-Over-Union (IoU) score of 85.6%, sensitivity of 90.9%, and specificity of 99%. A method has been proposed that helps physicians analyze the aortic structure, and segments the aortic structure so that they can intervene in the correct location and make a preoperative evaluation.
Adıyaman ve Iğdır İlleri’nde Tüketicilerin Su Ürünleri Tüketim Tercihlerinin Belirlenmesi
Authors: Karadaş Naime Filiz , Karadaş Köksal , Duman Hakan
Published: December 2024

Bu çalışmanın amacı Adıyaman ve Iğdır illerinde su ürünleri tüketiminde tüketici tercihleri ve bu tercihler üzerinde etkili olan unsurları belirlemektir. Çalışmada kullanılan veriler Basit Tesadüfi Örnekleme Yığın Oran Tahmini Yöntemine göre belirlenen 400 adet tüketici ile yüz yüze yapılan anketlerden elde edilmiştir. Tüketicilerin demografik verileri yanında su ürünleri tercihlerini etkileyen faktörler tespit edilmeye çalışılmış olup bu kapsamda frekans tabloları, Chi-Square ve Mann-Whtiney U testi ile Fisher Kesin Testi, Post Hoc Testi ve Mozaik Grafikleri yapılmıştır. Araştırma sonuçlara göre çalışmaya katılan tüketicilerin %53’ü erkek, %50’si yükseköğretim düzeyinde eğitime sahip, aile başı ortalama 4,75 birey ve %54’ü 6000 TL’nin altına aylık gelire sahiptirler. Tüketicilerin %86’sı daha çok tavuk eti ve kırmızı et tüketirken, %33’üne göre balıketi diğer etlere göre pahalı, %62’si ayda bir defa veya daha uzun sürede ve %55’i sağlıklı olduğu için balık tüketmekte olup, %72’si balığı pazar yeri ve balık halinden almaktadırlar. Çalışmaya katılanların %54’ü balığın tazeliğini deri parlaklığı ve gözlerin durumundan anlamakta, %62’si balık alırken tazelik ve lezzetine dikkat etmekte, %59’u kış mevsiminde, %56’sı aylık 1-3 kg ve %81’i balığı taze olarak tüketmektedirler. Adıyaman’da daha çok kırmızı et, Iğdır’da ise daha çok tavuk eti tüketilirken her iki ilde eğitim seviyesinin artmasının balık eti tüketimini artırdığı görülmektedir. Ayrıca Adıyaman’da daha çok alabalık, Iğdır’da ise hamsi tercih edilmektedir. Tüketicilerin %40’ı balık faydaları hakkında yeterli bilgiye sahip değillerdir ve %58’i yeterli miktar ve çeşitte taze balık bulamadıklarını ve %62’si ise balık satışları için balık çarşısı kurulmasını istemektedirler. Tüketicilerin balık tüketiminin faydaları hakkında yeterli bilgiye sahip olmaları sağlanmalı, bölgede yeterli miktar ve çeşitte taze balık satışlarının yapılacağı balık çarşısı kurulmalıdır.
AI in Supply Chains: Transforming Fraud Detection and Authenticity Verification
Authors: Allaparthi Srinivas
Published: December 2024

Purpose: The study explores the transformative role of Artificial Intelligence (AI) in enhancing fraud detection and authenticity verification within global supply chains. It focuses on high-stakes industries such as pharmaceuticals, electric vehicles, consumer electronics, and agriculture, where counterfeiting poses significant risks to safety and consumer trust. By integrating AI technologies like machine learning, neural networks, and natural language processing (NLP), the study highlights how AI enhances supplier data analysis, physical verification through computer vision, and predictive analytics for fraud prevention.
Methodology: The methodology combines case studies, industry reports, and the Gartner Five Levels of Supply Chain Maturity framework to examine AI's potential across siloed management, cross-functional integration, and ecosystem orchestration. Real-world use cases, including Siemens and IBM, demonstrate AI's success in fraud detection, cost savings, and improved product safety.
Findings: The findings reveal that AI, in synergy with blockchain, ensures supply chain transparency while addressing ethical challenges like data privacy and environmental concerns.
Unique Contribution to Theory, Practice and Policy: Recommendations emphasize ethical AI deployment, strategic investment in feasible technologies like IoT and biometric verification, and prioritization of regulatory compliance. The study concludes that AI adoption is critical for building resilient and trustworthy supply chains, offering strategic advantages in combating fraud and fostering consumer confidence.
LEVEL OF SATISFACTION OF CONSTITUENTS TO THE SERVICES OF BARANGAY TINONGDAN
Authors: Ablan Cherry Ann C.
Published: December 2024

During the Municipality of Itogon’s 124th Founding anniversary in November 2024, Barangay Tinongdan was one of the best-performing barangays in the municipality. It gained awards for being a child-friendly barangay, placing first in the 2024 search for cleanest and greenest barangay, second in the competition for best barangay community peace and order, third in the DILG Road Clearing program, and second in the competition for best barangay ordinance implementer. With the assistance of barangay councils, which are headed by Punong Barangay Edwin O. Atumpag and his staff and volunteers, these prizes show how well the barangay is doing. The study is being conducted to identify areas for development for the benefit of the community and the local government itself, even if the barangay has stated it is doing well. It is also crucial to know how satisfied the constituents are with the services provided. According to the research, the majority of the constituents are happy with the services provided by the barangay after the survey was completed. While the barangay is doing well, it is normal for it to have problems and shortcomings, especially with regard to the lack of efficiency and transparency in local governance, the development of infrastructure, the lack of secure database, the slow issuance of clearances, the lack of water supply, and the inadequacy of emergency services. Overall, these difficulties might not prevent the local government unit from having big dreams, carrying out its obligations to the community, and earning the Department of Interior and Local Government’s seal of competent local governance.
Effects of Information Technology Modularity on Content-Boosted Collaborative Filtering E-Learning Recommenders
Authors: Obeng Asare Yaw , Opoku Samuel King , Kotei Evans , Obeng Ama Pokuah
Published: December 2024

Information technology has revolutionized e-learning and significantly impacted educational experiences by shifting them from instructor-centred to learner-centred, enabling adaptive, personalized, anytime, and anywhere learning. Modular design and technology integration underpin personalized learning models, which offer customized learning content and pathways that employ filtering techniques to enhance recommendation accuracy. Collaborative filtering in e-learning allows for personalized course offerings based on user preferences and interests, which influence student engagement and improve learning performance. The study investigates how information technology (IT) modularity influences the design and development of content-boosted collaborative filtering (CBCF) recommender systems in Ghana's higher education institutions, highlighting their importance for online learning. Using a mixed-methods approach, the experiment examines the effects of IT modularity on CBCF functionality, function, and effectiveness. The classifiers achieved a minimum accuracy of 80.6% and ROC area values ranging from 0.772 to 1.000, indicating improved classification accuracy and high-quality models. The results show that encapsulation has a moderate effect on the design and development of content-boosted collaborative filtering recommender systems, while modularity, interoperability, and separation of concerns have a high effect. IT modularity improves the adaptability, scalability, and recommendation accuracy of CBCF functions while moderately enhancing security and privacy. Recommendation accuracy and personalised learning positively influence the efficacy of CBCF recommender systems. This research suggests that modular architectures improve system functionality and accuracy by enhancing autonomous innovation, scalability, and reducing cold-start issues, despite potential computational complexity and maintenance overheads.
A generalization of ElGamal signature variants over elliptic curves
Authors: Ihia M. , Khadir O.
Published: December 2024

The ElGamal signature is a scheme invented by Taher Elgamal in 1984 based on the problem of the discrete logarithm. In our day, there are several variants of this signature. In this paper, we will present the version of many variants schemes of ElGamal over elliptic curves. We will give some examples.
Understanding user polarisation regarding COVID-19 vaccines through social network analysis
Authors: Garg Harshit , Jhunthra Srishti , Goel Rahul , Sharma Shakshi , Gupta Vedika , Sharma Rajesh , Dass Pranav
Published: December 2024

Whenever any critical incident comes into the limelight, people tend to discuss it over social media platforms to exchange ideas, perspectives and opinions globally. Sometimes the chain of discussions lead to eneration of new perspectives and enhance the general understanding of short-term or long-term implications of the problem at hand. Social media platforms have been an important tool to study and analyse opinions of stakeholders, consumers, citizens, customers, or clients. If positive, these opinions can help gain confidence for a business product or policy law. If otherwise the negative opinions can help the business, or the government understand online social media users about their feelings and take the necessary steps to counter bad reputation and promote customer satisfaction. Having an in-depth descriptive understanding of how the state of things are, leads to a realization of what circumstantial strategies should be adopted or followed to tackle such scenarios. This paper presents the as-is scenario of discussions held on social media platform Twitter regarding the various vaccines for COVID-19, which has been a critical topic of interest worldwide. This study proposes a detailed analysis of the variety of perspectives and user polarisation persisting on Twitter in different dimensions. We segment Twitter users into two categories proponents (those propelling the idea of vaccination) and opponents (those opposing the idea of vaccination). Further, we have also categorized the Twitterati (Twitter users) on the basis of information seekers (inquisitive), information providers (informative) and opinion providers (opinionated). The analysis shows us the change of thoughts and opinions of the twitter users over a period of time. Overall, the paper presents quantitative and qualitative analysis depicting some analytical views taking different parameters into consideration.
Design of a new curve based cipher
Authors: Krishna Addapalli VN
Published: December 2024

This work aims to develop a model with curve based cryptographic scheme which supports Confidentiality and Authentication at low computing resources and equal security.