bluuebunny/crossref_metadata_2025 huggingface dataset:
How do college students who are parents feel anxiety, stress, and depression during their examination preparation?
Authors: Demeroutis Evangelos , D. Vlastos Dimitris , Theofilou Paraskevi
Published: December 2024

Anxiety, stress, and depression are elements of everyday life for some people. Situations and choices such as attending higher education institutions make these states even more difficult. Parallel employment and increased family obligations are thought to burden the mental states of students. This study purposed to highlight the increased levels of anxiety, stress, or depression experienced by college students who are also parents. It also explored the sources of these adverse mental states and probed how students with children tackled them. It was assumed that students who were parents would be more burdened by these mental states than other students. The administered questionnaire was based on the Depression, Anxiety, and Stress Scale-21 (DASS-21) with added questions regarding the sources of anxiety, stress, or depression and the ways participants dealt with them. However, the original hypothesis was rejected because the data obtained from the study sample of 94 participants revealed that students without children experienced more anxiety than students who were parents. No difference was found in the stress and depression levels reported by the two groups. Participants also highlighted how educational institutions can burden the mental state of students, for instance, through the number of assigned tasks and the examination period. Participants reported that they turned to their family members and friends or stayed at home to reduce anxiety, stress, and depression. Therefore, studies should be conducted to discover the probable reasons for higher levels of anxiety, stress, or depression sensed by college students who are not parents and how students who are parents mitigate these states.
Visualizing the association between climate change and quality of life
Authors: Zhang Dongli , Raghupathi Wullianallur , Raghupathi Viju
Published: December 2024

This research delves into the global impact of climate change on quality of life. Drawing on country-level data from the World Bank, we utilize visual analytics to examine the association between key climate change indicators such as carbon dioxide (CO2) and methane emissions, PM2.5 (fine particulate matter) air pollution, annual freshwater withdrawal and quality-of-life variables such as child mortality, immunization against measles, school enrollment, gross domestic product (GDP) growth, unemployment, and others. Key findings suggest CO2 emissions declined in South Asia and Sub-Saharan Africa. Overall, CO2 emissions appear to be associated with GDP growth, implying that developed countries are responsible for the overall higher emissions as a result of industrialization. CO2 emissions are also associated with higher unemployment, signaling that health issues are likely causing absenteeism and staying away from jobs. Finally, CO2 emission is associated with higher air pollution and higher under-five mortality rates. Simultaneously, immunization rates appear to decline. Another significant finding is that higher air pollution is associated with higher child mortality, particularly in South Asia and Sub-Saharan regions. Generally, emissions and pollution have an adverse impact on quality of life indicators, affirming the urgent need to mitigate climate change. The results aim to foster an understanding of the multifaceted effects of climate change and to support the development of effective policies to bolster resilience and improve life quality in the face of environmental shifts.
Current insights and advances in long noncoding RNA dysregulation in diabetes and its complications
Authors: Afzal Ali , Rasheed Huma , Ahmad Shaaf , Ahmad Sadia , Irshad Faiqa , Iftikhar Mehreen , Imran Muhammad , Gul Zaman , Ali Khan Saddozai Umair , Ji Xinying , Babar Khawar Muhammad
Published: December 2024

Long noncoding RNAs (lncRNAs) are pivotal regulators in the pathophysiology of diabetes mellitus and its complications, including diabetic retinopathy, nephropathy, and cardiomyopathy. They influence essential cellular processes such as angiogenesis, vascular smooth muscle cell behavior, inflammation, extracellular matrix remodeling, and apoptosis. In cardiomyopathy, lncRNA H19 promotes cardiomyocyte survival by regulating autophagy, highlighting its role in cardiovascular outcomes. In addition, lncRNAs hold promise as noninvasive biomarkers, detectable in extracellular fluids such as serum and urine, providing novel diagnostic tools. For example, elevated levels of HOX transcript antisense RNA and promoter of CDKN1A antisense DNA damage-activated RNA correlate with hyperglycemia and its complications, whereas maternally expressed gene 3 and metastasis-associated lung adenocarcinoma transcript 1 are linked to insulin resistance. However, the full scope of lncRNA mechanisms and therapeutic potential remains unclear. Recent research emphasizes the importance of studying the molecular pathways influenced by lncRNAs, such as the Janus kinase/signal transducer and activator of transcription and p38 mitogen-activated protein kinase pathways, which regulate inflammation and insulin signaling. Preclinical studies show promising outcomes for lncRNA-targeted therapies; however, challenges remain in precise detection and delivery. Addressing these gaps through advanced RNA sequencing and targeted therapies is crucial for developing lncRNA-based diagnostics and treatments for diabetes complications. This review explores lncRNAs as biomarkers and therapeutic targets, focusing on their regulatory mechanisms in diabetic complications such as retinopathy, nephropathy, and cardiomyopathy.
3D bioprinting and label-free imaging: Bridging innovations for organoid research
Authors: Zha Linbin , Shin Saewoon , Kim Chulhong , Park Jong-Chan , Park Byullee
Published: December 2024

Organoids are three-dimensional (3D) and multicellular structures that more closely mimic the architecture and functions of human organs. These in vitro systems are derived from pluripotent stem cells, tissue-resident stem cells, or organ-specific progenitors. Despite their potential, conventional organoid development methods are limited by inconsistencies in formation and the absence of complete microenvironmental cues, which reduces reproducibility in larger organ models. In contrast, 3D bioprinting techniques offer a precise layer-by-layer construction approach that enables superior spatial control, scalability, and uniformity in organoid formation. This advantage makes organoids with 3D bioprinting invaluable in diversified fields such as cell biology, pathology, drug toxicology, and molecular medicine. To track the dynamic processes of cell growth, differentiation, and organization during organoid development and maturation, advanced imaging technologies are crucial. Traditional optical imaging methods, however, require exogenous labeling agents to enhance contrast, which can damage samples through photobleaching and phototoxicity. Label-free and real-time imaging modalities, by contrast, offer non-invasive and non-destructive monitoring of organoids, preserving sample integrity and enabling longitudinal studies. This review highlights the benefits of bioprinting technologies in overcoming current limitations in organoid development and provides a comprehensive overview of label-free and real-time imaging technologies for organoids. We examine the principles, strengths, applications, and limitations of these imaging methods, offering insights into their potential to drive further innovations in the rapidly evolving field of organoid imaging.
Research on impact resistance of AlSi7Mg uniform and gradient porous structures manufactured by laser powder bed fusion
Authors: Zhang Mingkang , Bi Guijun , Chen Jie
Published: December 2024

Triply periodic minimal surfaces (TPMSs) have the advantage of energy absorption (EA) in automotive, aerospace, and military applications. In this study, uniform and gradient TPMS sandwich structures were prepared by laser powder bed fusion technique, and the effects of cell size and gradient type on the deformation and EA of the structures at different impact velocities were investigated based on drop hammer impact tests. The results indicate that, among the uniform TPMS sandwich structures, the structure with a smaller cell size exhibits higher EA and peak impact force, providing greater impact strength. In contrast, the structure with a larger cell size has a lower peak acceleration, which is suitable for vibration damping. The gradient distribution effectively disperses the impact capacity to obtain a higher impact strength; thus, the sine gradient (G-sineI) structure has the best impact resistance. This work validated the superior EA of gradient TPMS structures and presented a corresponding design method and impact performance evaluation for these structures.
Targeting the interplay between biomolecular condensates and regulatory RNAs in cancer
Authors: Poltronieri Palmiro , Joardar Sudipta
Published: December 2024

Biomolecular condensates (BCs), RNA–protein complexes, have emerged as potential therapeutic targets for various cellular pathologies, including cancer. The mechanisms underlying liquid–liquid phase separation rely on the properties of proteins with intrinsically disordered regions and prion-like domains, which drive phase separation in conjunction with their RNA partners. These ribonucleoprotein complexes are distinct in their localization, compartmentalization, epigenetic regulation, and dynamics. BCs are categorized as either nuclear—such as promyelocytic leukemia nuclear bodies, speckles, paraspeckles, and Cajal bodies—or cytosolic, including stress granules (SGs), P bodies, and U bodies. Regulatory RNAs, assembled with protein partners through phase separation, exhibit oncogenic properties and perform key biological functions, including gene transcription, euchromatin/heterochromatin formation, mRNA splicing, mRNA translation, protein compartmentalization, and degradation. Epitranscriptome-modifying enzymes regulate the stability and oncogenic potential of noncoding RNAs (ncRNAs). These RNAs, along with their associated epitranscriptomic and protein modifications, play critical roles in the functioning and dissolution of condensates. Recent advancements in cancer therapy have focused on developing drugs targeting the epitranscriptomic machinery, including the writers, readers, and erasers of RNA modifications. Therapeutic strategies aim to target oncogenic RNAs, tumor-promoting proteins, and RNA–protein interaction domains. Several cancer therapeutic compounds have been developed using the PROTAC and RIBOTAC approaches. Moreover, small molecules targeting protein–RNA interactions and antisense oligonucleotides have been developed. Promising avenues in cancer therapeutics involve the inhibition of ncRNAs and their associated protein complexes, modulation of BCs, regulation of SGs and paraspeckles, and development of small molecule compounds with potential applications across various cancer types.
Fluoride removal from water using process residues from the cement, aggregate, and ceramic industries
Authors: Dal Pont Silvio Cesar , Furmanski Luana Milak , Westrup José Luiz , Gaspodini Tachinski Camila , Gesser Muller Thuani , Zaccaron Alexandre , Gonçalves Dal-Bó Alexandre , Peterson Michael
Published: December 2024

The escalating demand for drinking water, coupled with the contamination of surface water sources, has intensified interest in harnessing groundwater for water supply. Elevated fluoride levels in groundwater, surpassing recommended limits (1.5 mgL-1), pose a significant challenge, prohibiting the supply of water to the public. Various techniques exist for fluoride removal, with adsorption standing out for its versatility, simplicity, cost-effectiveness, and efficiency. This study assessed the kinetics and adsorption capacity of residues from the ceramic and cement industries, specifically process residues (PR) from red roof tiles, bricks, and cellular concrete. These materials, derived from the construction industry’s waste, were chosen for their accessibility and low-cost preparation. Characterization through X-ray diffractometry, X-ray fluorescence spectroscopy, and isothermal nitrogen adsorption revealed cellular concrete PR as the most promising adsorbent due to its larger specific surface area (28.2 m2 g-1) compared to brick PR (12.6 m2 g-1), and roof tile PR (2.366 m2 g-1). Adsorption capacity followed the order: cellular concrete PR > brick PR > roof tile PR. Kinetics adhered to pseudo-first-order and pseudo-second-order models, while equilibrium studies aligned with Langmuir, Freundlich, and Sips models. Langmuir’s Qmax values were 1.04, 0.709, and 1.66 (mg g-1) for cellular concrete PR, brick PR, and roof tile PR, respectively, illustrating the correlation between adsorption capacity and specific surface area.
Breads with Ora-pro-nobis flour and Bacillus clausii: Characterization and resistance to the gastrointestinal tract in vitro
Authors: Alves Déborah T. , Martin Maurílio L. , Queiroz Isabela C. , Talma Simone V. , de Castro Leite Júnio Bruno R. , da Rocha Campos André N. , Furtado Martins Eliane M.
Published: December 2024

In this study breads containing ora-pro-nobis flour and spores of probiotic Bacillus clausii were developed. Physicochemical and microbiological characteristics of the breads and in vitro resistance of the probiotic to the gastrointestinal tract (GIT) were evaluated over 4 days of storage of the breads at 27 °C were evaluated. Acidity, total dry extract, moisture and ash of the breads from different treatments did not differ and the same happened for proteins, fats, carbohydrates and color. There was an increase in the viability of B. clausii over storage time, suggesting that the spores resisted baking, germinated and multiplied in the product. At the end of shelf life, viability in enteric phase II was 5.84 Log CFU/g of B. clausii. Considering daily consumption of 40 g of bread, approximately 7.44 Log CFU of B. clausii would be viable at the end of the GIT. Thus, the developed bread can be a potential carrier of this probiotic and a healthier option for the baking industry.
A Class of p-Valent Close-to-Convex Functions Defined Using Gegenbauer Polynomials
Authors: Al-Rawashdeh Waleed
Published: December 2024

A new class of p-valent close-to-convex functions is introduced in this paper, which is defined using Gegenbauer Polynomials within the open unit disk D. This investigation sheds light on the properties and behaviors of these p-valent close-to-convex functions, providing estimations for the modulus of the coefficients ap+1 and ap+2, with p being a natural number, for functions falling under this particular class. Additionally, this paper also investigates the classical Fekete-Szegö functional problem for functions f that are part of the aforementioned class.
Self-Perceived vs. Actual Online Engagement: Relationships with Academic Achievement Among Chinese Undergraduate English Learners in a Blended Learning Environment
Authors: Ma Guihua , Shi Yongzhen
Published: December 2024

This study, motivated by the growing integration of digital platforms in higher education, explores the relationships between Chinese undergraduate English learners' online engagement and academic achievement in a blended learning environment. Adopting a quantitative research design, the study involved 138 participants enrolled in an advanced English writing course, delivered through a blended learning approach. Data were collected using an adapted version of the Online Engagement Scale (OES) survey, assessing four constructs: Behavioral Engagement (BE), Cognitive Engagement (CE), Emotional Engagement (EE), and Social Engagement (SE). The study found that learners perceived higher levels of BE and CE compared to EE and SE. Analysis of actual behavioral online engagement revealed significant time spent on tasks, high task completion rates, and strong task performance. Significant correlations were found between BE and CE with total engagement time (TET) and task completion rates (TCR), while EE showed a correlation only with TET. SE did not correlate with any dimension of actual engagement. Despite these correlations, only task engagement scores (TES) significantly predicted academic achievement, with BE, CE, EE, and SE not predicting academic success. These findings contribute to the theoretical understanding of engagement in blended learning contexts, emphasizing that fostering task engagement, particularly task completion and performance, may enhance academic outcomes in such environments.
PREDIKSI HARGA SAHAM PT BANK CENTRAL ASIA TBK DENGAN MENGGUNAKAN ALGORITMA AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA)
Authors: Tri Wulandari Rahmawati Desi , Nurmalitasari Nurmalitasari , Permatasari Hanifah
Published: December 2024

Stock prediction is one of the important things in stock trading. It calculates the potential worth of stocks or other financial assets that are traded on stock exchanges. The precision of stock forecast outcomes serves several purposes, principally providing investors with protection from possible market hazards and opening doors for index traders, market speculators, and arbitrageurs to make money. This study used the Autoregressive Integrated Moving Average (ARIMA) model and the Google Colab website to examine and predict the closing price of PT Bank Central Asia Tbk shares. This study uses daily historical stock data from 01 January 2020 to 01 January 2024. The ARIMA (1.0.1) model is the most accurate model for predicting the closing price of PT Bank Central Asia Tbk shares, according to the study’s findings.ABSTRAKDalam trading saham, Prediksi saham adalah hal yang sangat penting. Mengetahui nilai masa depan saham perusahaan atau instrument keuangan lainnya yang diperdagangkan di bursa keuangan adalah sesuatu yang menarik. Banyak hal dipengaruhi oleh akurasi hasil prediksi saham, terutama kebutuhan bagi investor untuk melindungi nilai mereka dari resiko pasar yang mungkin terjadi, peluang bagi speculator pasar dan arbitrase mengambil keuntungan dari indeks perdagangan. Tujuan penelitian ini untuk memprediksi harga penutupan saham PT Bank Central Asia Tbk dengan menggunakan model Autoregressive Integrated Moving Average (ARIMA) dan menganalisisnya dengan menggunakan website Google Colab. Penelitian ini menggunakan data historis harian saham dari tanggal 1 Januari 2020 hingga tanggal 1 Januari 2024. Hasil studi menunjukkan bahwa model ARIMA (1.0.1) adalah yang terbaik untuk meramalkan harga penutupan saham pada perusahaan ini.
ANALISIS SENTIMEN OPINI DEBAT CALON PRESIDEN DENGAN MENGGUNAKAN CLASSIFIER MACHINE LEARNING (STUDI KASUS : PADA DATA TWITTER 2024)
Authors: Purba Rini Widaswari , Waskita Arya Adyaksa , Makshun Makshun
Published: December 2024

This study aims to analyze public sentiment towards the Indonesian 2024 Presidential Debate using five Machine Learning classification algorithms: Naïve Bayes, Decision Tree, Support Vector Machine, Random Forest, and K-Nearest Neighbors. The data used in this research was sourced from Twitter, a major social media platform with a large and diverse volume of data. The research object is public opinions expressed on Twitter, with the subject of the research being tweets collected using the Twitter API, resulting in 1,300 data points. Data analysis involves text extraction and preprocessing, including data cleaning, tokenization, stemming, and stopword removal. The research results show the following sentiment distribution: 51.55% positive (663 tweets), 14.83% negative (183 tweets), and 34.21% neutral (440 tweets). Among the models, Support Vector Machine and Random Forest demonstrated the highest performance with an accuracy of 81%, while Naïve Bayes had the lowest performance with an accuracy of 62%. Despite variations in performance among the algorithms used, no single method was consistently effective in sentiment classification. This research contributes to mapping public sentiment related to political debates in Indonesia through social media data analysis and provides insights into the effectiveness of Machine Learning algorithms in sentiment analysis. ABSTRAKPenelitian ini bertujuan untuk menganalisis sentimen opini masyarakat terhadap Debat Calon Presiden Indonesia 2024 menggunakan lima algoritma klasifikasi Machine Learning: Naïve Bayes, Decision Tree, Support Vector Machine, Random Forest, dan K-Nearest Neighbors. Data yang digunakan dalam penelitian ini diambil dari Twitter, yang merupakan salah satu platform media sosial dengan volume data yang besar dan beragam. Objek penelitian ini adalah opini publik yang diekspresikan di Twitter, dengan subjek penelitian berupa tweet yang diambil menggunakan Twitter API, menghasilkan 1300 data poin. Analisis data melibatkan proses ekstraksi teks dan preprocessing yang mencakup pembersihan data, tokenisasi, stemming, dan penghapusan stopwords. Hasil penelitian menunjukkan distribusi sentimen sebagai berikut: 51,55% positif (663 tweet), 14,83% negatif (183 tweet), dan 34,21% netral (440 tweet). Dari hasil pemodelan, Support Vector Machine dan Random Forest menunjukkan performa tertinggi dengan akurasi 81%, sedangkan Naïve Bayes memiliki performa paling rendah dengan akurasi 62%. Meskipun terdapat variasi kinerja di antara algoritma yang di gunakan,  tidak ada satu metode pun yang sepenuhnya konsisten dalam klasifikasi sentimen. Penelitian ini memberikan kontribusi dalam memetakan sentimen publik terkait perdebatan politik di Indonesia melalui analisis data media sosial. serta memberikan wawasan tentang efektivitas algoritma Machine Learning dalam analisis sentimen.
MEMBANGUN AGENT ENDPOINT DETECTION AND RESPONSE (EDR) MENGGUNAKAN WAZUH DAN VIRUSTOTAL SEBAGAI SISTEM DETEKSI SERANGAN RANSOMWARE LOCKBIT 3.0
Authors: Sholeh Muchammad , Monalisa Almima
Published: December 2024

Internet users who are still public with cyber threats can be the main target of cyber criminals who want to take away a variety of things that Internet users own, one of which is personal data. Ransomware is one of the most widely used types of cyber attacks today to lock data on the victim's computer and then ask for ransom in the amount of money so that the data can be reopened. The aim of this study is to detect the threat on the server from the LockBit 3.0 ransomware attack using the Wazuh open source platform with the VirusTotal API integration as well as to know the effectiveness of Endpoint Detection and Response (EDR) as a solution in detecting the ransumware attack and obtained the result that Wazuh with the integration of VirusTotal successfully implemented Endpoint detection and response that detects and deletes the LockBit 3.0  file from the server directory within average 0.7 seconds with 3 times trial tests. ABSTRAKPengguna internet yang masih awam dengan ancaman cyber dapat menjadi sasaran utama penjahat cyber yang ingin mengambil berbagai hal yang dimiliki pengguna internet salah satunya adalah data pribadi. Ransomware merupakan salah satu jenis serangan cyber yang paling banyak digunakan saat ini untuk mengunci data pada komputer korban kemudian meminta tebusan dalam jumlah besar agar data dapat dibuka kembali. Tujuan dari penelitian ini adalah dapat melakukan pendeteksian ancaman pada server dari serangan ransomware LockBit 3.0 menggunakan platform Wazuh berbasis open source dengan integrasi API VirusTotal serta mengetahui efesiensi dari Endpoint Detection and Response (EDR) sebagai solusi dalam mendeteksi serangan ransomware dan diperoleh hasil bahwa Wazuh dengan integrasi VirusTotal berhasil menerapkan Endpoint Detection and Response yaitu mendeteksi dan menghapus file ransomware LockBit 3.0 dari direktori server dalam rentang Waktu 0.7 detik dengan melakukan uji coba sebanyak tiga kali.
PENERAPAN METODE AHP DALAM MENENTUKAN LAPTOP TERBAIK UNTUK MAHASISWA TEKNIK INFORMATIKA
Authors: Prasetya Ferdyana Eka , Nugraha Rhendy Diki , Nurcahyo Danang , Fatchan Muhammad , Anshor Abdul Halim
Published: December 2024

One of the results of this development that is very commonly used by students is the use of electronic technology, such as laptops. In the world of information technology, choosing the right laptop has a very important role, especially for information engineering students. Lack of understanding of the criteria and specifications of laptops, has certainly caused confusion among informatics engineering students in determining the laptop according to their needs, especially because of the various options available, which include various brands, types of laptops, and also different prices. The Analytical Hierarchy Process (AHP) method can be the right solution. This research aims to help informatics engineering students in determining the best laptop choice based on several criteria that have been set. The results of this research successfully used the Analytical Hierarchy Process (AHP) method to help Informatics Engineering students choose the best laptop according to their needs. taking into account criteria such as Price, CPU, RAM, GPU, Storage and Screen Size. The AHP calculation shows that the HP Victus 16-R0017TX is in first place with the highest global priority value of 0.1565, the Ideapad Gaming Ryzen 5 is in second place with a global priority value of 0.1408, and the Asus Vivobook GO 14 is in third place with a global priority value of 0.1362. ABSTRAKSalah satu hasil dari perkembangan ini yang sangat umum digunakan oleh mahasiwa adalah penggunaan teknologi elektronik, seperti laptop. Dalam dunia teknologi informasi, pemilihan laptop yang tepat memiliki peran yang sangat penting, terutama bagi mahasiswa teknik informatika. Kurangnya dalam memahami kriteria dan spesifikasi laptop, tidak diragukan lagi menyebabkan kebingungan di kalangan mahasiswa teknik informatika dalam menentukan laptop sesuai dengan kebutuhan mereka, terutama karena berbagai pilihan yang tersedia, yang mencakup berbagai merek, jenis laptop, dan juga harga yang bervariasi. Metode Analytical Hierarchy Process (AHP) dapat menjadi solusi yang terpat. Penelitian ini bertujuan untuk membantu mahasiswa teknik informatika dalam menentukan pilihan laptop terbaik berdasarkan sejumlah kriteria yang telah ditetapkan. Hasil penelitian ini berhasil menggunakan metode Analytical Hierarchy Process (AHP) untuk membantu mahasiswa Teknik Informatika dalam memilih laptop terbaik sesuai kebutuhan mereka. dengan mempertimbangkan kriteria seperti Harga, CPU, RAM, GPU, Penyimpanan, dan Ukuran Layar. Perhitungan AHP menunjukkan bahwa HP Victus 16-R0017TX berada pada peringkat pertama dengan nilai prioritas global tertinggi sebesar 0.1565, Ideapad Gaming Ryzen 5 berada pada peringkat kedua dengan nilai prioritas global sebesar 0.1408, dan Asus Vivobook GO
IMPLEMENTASI ZERO TRUST NETWORK UNTUK MENINGKATKAN KEAMANAN JARINGAN MENGGUNAKAN FERRUMGATE DENGAN METODE NDLC
Authors: Haeruddin Haeruddin , Favian Felix , Prasetyo Stefanus Eko
Published: December 2024

As Cyber threats grow increasingly sophisticated, traditional network security measures are no longer adequate to safeguard critical data and resources. This study focuses on enhancing network security through the deployment of a Zero Trust Network utilizing the Ferrumgate platform. Employing the Network Development Life Cycle (NDLC) methodology, the research encompasses requirements analysis, the design of a segmented network, the implementation of Multi-Factor Authentication (MFA) using Google Authenticator, and User activity Monitoring. Findings reveal that Ferrumgate effectively restricts network access to verified Users and devices, significantly reducing risks posed by both internal and external threats. The adoption of MFA enhances security standards, while continuous Monitoring successfully detects and mitigates potential Cyberattacks. In summary, the NDLC-driven implementation of Ferrumgate demonstrated its effectiveness in bolstering network security, with a recommendation for regular evaluations and monitoring to ensure the system remains robust against emerging threats. ABSTRAKDalam menghadapi ancaman Cyber yang semakin kompleks, pendekatan keamanan jaringan tradisional tidak lagi cukup untuk melindungi data dan aset penting. Penelitian ini bertujuan untuk memperkuat keamanan jaringan melalui implementasi Zero Trust Network dengan menggunakan platform Ferrumgate. Pendekatan penelitian dilakukan menggunakan metodologi Network Development Life Cycle (NDLC), yang meliputi analisis kebutuhan, perancangan jaringan yang tersegmentasi, penerapan autentikasi Multi-Factor Authentication – MFA dengan Google Authenticator, serta pemantauan aktivitas pengguna. Hasil penelitian mengindikasikan bahwa Ferrumgate mampu memastikan hanya perangkat dan pengguna yang terverifikasi yang dapat mengakses jaringan, sehingga risiko ancaman internal dan eksternal dapat diminimalkan. Integrasi MFA memberikan peningkatan signifikan pada keamanan, sementara sistem pemantauan berkelanjutan efektif dalam mendeteksi serta mencegah potensi serangan Cyber. Kesimpulannya, penerapan Ferrumgate berbasis NDLC terbukti efektif dalam meningkatakan keamanan jaringan, dengan rekomendasi untuk melakukan evaluasi dan pemantauan berkala guna menjaga efektivitas sistem terhadap ancaman yang terus berkembang.
OPTIMALISASI KLASIFIKASI UJI EMISI SEPEDA MOTOR MENGGUNAKAN ALGORITMA NAÏVE BAYES
Authors: Irwansyah Irwansyah , Dittyata Rizki , Rizal Rizal , Wiyono Wiyono
Published: December 2024

Dense urban areas with high levels of industrial and transportation activity result in increased air pollutant emissions that threaten air quality and the health of their residents. The issue is the lack of utilization and optimization of motorcycle emission test classification through a machine learning approach. This research aims to utilize motorcycle emission test data and to determine the accuracy, precision, and recall results of the naive Bayes algorithm. The number of datasets used by the researchers is 2409 data points. Based on this data, it is divided into two parts: training data consisting of 1927 data points (80%) and testing data consisting of 482 data points (20%). The results of the motorcycle emission test data can be utilized for classification optimization, and the naive Bayes algorithm can be applied to classify and analyze the accuracy, precision, and recall results of the motorcycle emission test data. The accuracy result is 91.49%, the precision result for the pass classification is 93.72%, and the precision result for the fail classification is 83%, while the recall result for the pass classification is 95.47% and the recall result for the fail classification is 77.57%.      ABSTRAK Daerah perkotaan yang padat penduduk dengan tingkat aktivitas industri dan transportasi yang tinggi mengakibatkan peningkatan emisi polutan udara yang mengancam kualitas udara dan kesehatan warganya. Permasalahan belum  adanya pemanfaatan dan optimalisasi klasifikasi uji emisi sepeda motor melalui pendekatan machine learning. Penelitian ini bertujuan untuk memanfaatkan data uji emisi sepeda motor dan untuk mengetahui  hasil akurasi, presisi, dan recall dari algoritma naïve bayes. Adapun jumlah dataset yang peneliti gunakan sebanyak 2409 data. Berdasarkan data tersebut dibagi menjadi dua yaitu data training sebanyak 1927 data (80%) dan data testing sebanyak 482 data (20%). Hasil penelitian data uji emisi sepeda motor dapat dimanfaatkan untuk optimalisasi klasifikasi dan algoritma naïve bayes dapat diterapkan dalam mengklasifikasi dan menganalisis hasil akurasi, presisi, dan recall dari data uji emisi sepeda motor. Adapun hasil akurasinya sebesar sebesar 91,49%, hasil precision klasifikasi lulus sebesar 93,72% dan hasil precision klasifikasi tidak lulus sebesar 83%, dan hasil recall klasifikasi lulus sebesar 95,47% dan hasil recall klasifikasi tidak lulus sebesar 77,57%.
Exploration of Using Generative AI to Solve CI Analytical Tasks
Authors: Fleisher Austin , Tao Qingjiu (Tom)
Published: December 2024

This study examines the efficacy of generative AI platforms, including ChatGPT 3.5, Bing AI, and Bard, in performing competitive intelligence (CI) tasks such as Stakeholder Analysis, Issues Identification, and Trends Forecasting. These tasks are vital for analyzing various social, technological, economic, ecological, political, legal, ethical, and demographic factors that influence organizational or market dynamics. The main aim is to assess the capabilities of generative AI against human CI analysts in these areas, utilizing prompts and surveys to gather data.
The research engaged seven intelligence analysts of diverse experiences to evaluate the outputs from these AI platforms, establishing a benchmark for performance standards and identifying any limitations of generative AI in CI roles. The findings indicate that as of the end of 2023, generative AI does not match the performance level of human analysts in CI tasks. However, all platforms demonstrated some capacity to handle the tasks, with varying levels of success depending on the specific function, suggesting that while they cannot replace human analysts, they can augment their efforts.
Significantly, the study reveals that each AI platform has unique strengths and weaknesses, which were evident in their task-specific performances. Bard emerged as the most consistent, while Bing performed well in issues and stakeholder analysis but less so in trends forecasting. ChatGPT showed the least consistent results across the tasks.
The implications of these findings are profound for the integration of AI into CI roles. Analysts are encouraged to experiment with different AI tools to discover which best suits their needs, recognizing that these technologies are tools to assist rather than replace human analytical skills. This approach not only preserves but enhances the human element crucial in CI tasks, ensuring that AI and human intelligence together will shape the future of the competitive intelligence field.
„Ienest pagastu klasē”: Vērēmu pagasta mājvārdi lingvistiskās ainavas un izglītības kontekstā
Authors:   Rēzeknes Tehnoloģiju akadēmija, Martena Sanita
Published: December 2024

The purpose of this paper is to explore the linguistic landscape of the parish of Vērēmi in the county of Rēzekne, especially with regard to signs in Latgalian written language, and to reveal the potential of investigations in the linguistic landscape in education. To this end, the paper develops and describes a theoretical model which integrates language and cultural studies. The model is illustrated by house names in the public space of Vērēmi and by an in-depth study of several lexical items present both in the names of private houses and the Latgalian language corpus.
The methodology of the study is based on the linguistic landscape approach and the data-gathering method, with an innovative focus on the rural linguistic landscape and research of regional and minority languages. Data were collected twice: first in February 2022, then the research process was repeated in August 2022 in the same area. The most important conclusions of the study are as follows: in the public space of Vērēmi Parish, written Latgalian – both on house name signs and in general – is rare and visible only on private signs. Signs in the parish are mostly written in the Latvian Standard language, with a few exceptions where Russian is present in private advertisements, and some multilingual signs in Latvian Standard, Russian and English (tourism information by the county and signs regarding COVID-19 restrictions).
In addition, the paper suggests a theoretical model that facilitates a structured pathway for learning Latgalian, Latvian Standard and other languages visible in the linguistic landscape by connecting data from public space to approaches such as place-based education and corpora-based learning. In this vein, in the planning of teaching Latgalian, the following aspects should be taken into account: to explore the languages used in the local environment orally and in written form; to compare names and other signs in Latgalian and the Latvian Standard language, in order to determine what Latgalian and Standard Latvian have in common and where they differ at the phonetic, lexical and grammatical levels; to encourage thinking about the house names in-depth by exploring linguistic, cultural and symbolic meanings of words; and to plan the learning process in a way that students become aware of languages and cultures and see in them both individual significance and regional identity, which may allow them to engage in metalinguistic conversations.
Līdzskaņa [v] izruna skaņu savienojumos -uv-/-ūv-: korpusā balstīts pētījums
Authors:   Latvijas Universitāte. Matemātikas un informātikas institūts, Rābante-Buša Guna
Published: December 2024

The article deals with phonetically phonological processes that happen in the consonant [v] when it is placed after the vowel [u] or [uː]. The aim of the research is to find out what kind of changes of vowel [v] occur in connected colloquial speech. The cases where the consonant [v] becomes vocalised, turning into [u̯], disappears completely or merges with the vowel [u] in front of it, creating a long vowel [uː], are described.
The research material was selected by using two Latvian speech corpora – LATE-sarunas un BalsuTalka.lv. It was analysed in the program Praat. In the article, the pictures of oscillograms and spectrograms are used as illustrations.
It was determined that in the connected speech, consonant [v], when it is in the position after vowels [u] and [uː], often becomes vocalised or elided completely in the case if it is located in the not emphasised word or unstressed syllable. Also, it is affected by the tempo of the speech.
Merkittävä teos suomalaisten utopiakokeilujen historiasta
Authors: Lakkala Keijo
Published: December 2024

Kirja-arvostelu teoksesta:
Peltoniemi, Teuvo: Paratiiseja rakentamassa. Suomalaisten utopiayhteisöjen historiaa. SKS, 2024, 457 s.
Experimentelle Untersuchung des seismischen Verhaltens biegesteifer Stahlrahmen mittels Rütteltischversuchen/Experimental investigation of the seismic response of moment-resisting steel frames using shaking table tests
Authors: Balaskas Georgios , Lenzen Niklas , Kolisch Florian , Hoffmeister Benno , Klinkel Sven
Published: December 2024

In diesem Beitrag werden die Messergebnisse einer Reihe von Rütteltischversuchen an einer zweistöckigen Stahlkonstruktion vorgestellt und dokumentiert. Die Teststruktur wurde auf einem einaxialen Rütteltisch verschiedenen dynamischen Anregungen ausgesetzt, darunter Erdbebenzeitverläufe, Impuls-, Weißes-Rauschen- sowie Linear-Sweep-Anregungen. Die Teststruktur war in Anregungsrichtung durch biegesteife Rahmen ausgesteift. Das Verhalten der Teststruktur wurde mittels verschiedener Sensoren erfasst. Ziel dieser Versuchsreihe ist es, die modalen Eigenschaften der Teststruktur zu identifizieren, das globale Verhalten der Stahlrahmen unter seismischen Einwirkungen zu untersuchen und insbesondere die Beschleunigungsamplifikation über die Gebäudehöhe sowie die Reaktion verschiedener Einmassenschwinger (EMS) aufzuzeichnen. Die EMS bilden nichttragende Einbauten ab, wie sie in der chemischen Industrie und verwandten Industriebereichen vorkommen. Die wesentlichen Ergebnisse umfassen die Etagenspitzenbeschleunigungen, die Etagenantwortspektren und die Spitzenkomponentenbeschleunigungen. Im Zuge dieser Studie wurden Erdbebenzeitverläufe ausgewählt, die keine wesentlichen Schäden am Haupttragwerk verursachen.
Zum Ansatz der Bodenbettung zur Bemessung von Kranbahnbalken/On the use of soil bedding for the design of crane beams
Authors: Bergmann Lukas , Liebrecht Klaus , Pucker Tim
Published: December 2024

Bei der Bemessung von flach gegründeten Stahlbeton-Kranbahnbalken ist die Interaktion zwischen Bauwerk und Boden von entscheidender Bedeutung. Die resultierenden Beanspruchungen des Kranbahnbalkens hängen vom Verhältnis der Biegesteifigkeit des Kranbahnbalkens zur Steifigkeit des Bodens ab.

 

Die reale Steifigkeit des Kranbahnbalkens kann durch die Verwendung nichtlinearer Stoffmodelle realitätsnah erfasst werden. Die Steifigkeit des Bodens wird in der Regel über die Definition eines Bettungsmoduls in der Berechnung abgebildet.

 

Vor diesem Hintergrund wird im vorliegenden Artikel ein Ansatz aufgezeigt, wie durch Versuche in situ und zusätzliche geotechnische Berechnungen eine Veränderung des Bettungsmoduls bei zyklischer Belastung abgeschätzt und durch Definition eines Bettungsfaktors auf die Geometrie der Kranbahnbalken übertragen werden kann.

 

Der Einfluss des infolge zyklischer Beanspruchung veränderlichen Bettungsmoduls auf die Bemessung von flach gegründeten Kranbahnbalken wird abschließend in einem Berechnungsbeispiel dargestellt. Dieses Beispiel bezieht sich auf Kranbahnbalken von Portalkranen im Containerumschlag.
Schubbeulverhalten von geschweißten Vollwandträgern mit Teilsteifen am Auflager/Shear buckling performance of welded I-girders with partially stiffened web at the support
Authors: Hajdú Gábor , Pasternak Hartmut
Published: December 2024

In diesem Beitrag werden die Ergebnisse von Versuchen und numerischen Simulationen vorgestellt, die an Vollwandträgern mit unterschiedlichen Endpfostenkonfigurationen durchgeführt wurden. Während EN 1993–1–5:2024 Bemessungsregeln sowohl für starre als auch für verformbare Auflagersteifen enthält, geht sie nicht auf den Schubwiderstand von teilweise ausgesteiften Stegen ein. Teilaussteifungen stellen ein potenzielles Risiko dar, da ihr mechanisches Verhalten noch nicht ausreichend erforscht ist. Um dieses Problem zu untersuchen, wurden Tests und Parameterstudien an Trägern mit unterschiedlichen Stegschlankheiten unter Verwendung numerischer Simulationen durchgeführt. Für vollausgesteifte Träger liefert EN 1993–1–5:2024 sichere Schätzwerte, für teilausgestreifte Träger wurden neue Schubbeulkurven vorgeschlagen.
Kuşaklar Arası Edebiyat Türü Olarak “Torun Edebiyatı” ve Kimlik Arayışı: Bernhard Schlink’in Torun Adlı Romanı Üzerinden Bir İnceleme
Authors: Genç Hatice
Published: December 2024

Günümüz Alman edebiyatında, geçmişin gölgesi yazarları etkilemeye devam etmektedir ve şimdi bu miras torunların bakış açısına daha güçlü bir şekilde damgasını vurmaktadır. Bu yazarlardan biri olan Bernhard Schlink’in diğer yapıtlarında olduğu gibi Torun (Die Enkelin) adlı romanında söz konusu bu durum net bir şekilde görülmektedir. Yazar, okuyucuyu bir aileyi ve üç kuşağı kapsayacak bir şekilde Almanya’nın yakın tarihi ile yüzleşmeye hazırlamaktadır. Bu yapıt, aydın bir büyükbabanın ırkçı ideolojiye sahip genç kız torununu bu fikirlerinden uzaklaştırma çabasını konu almaktadır. Büyükbabanın bu yönlendirme çabası, geçmişle hesaplaşmanın ve geçmişin ve travmaların üstesinden gelebilmenin sancılı bir süreç olduğunu ortaya koymaktadır. Çünkü torunun şekillendiği aile ortamı, aile üyelerinin suskunluğu ve yıllardır süre gelen sırlar, savaş sonrası üçüncü ve kuşağın gerçeği keşfetme çabalarını sekteye uğratmaktadır. “Torun” romanı sadece Nasyonal Sosyalizm geçmişi ile sınırlı kalmayıp aynı zamanda, 1968 yılında yaşanan öğrenci hareketlerini, Doğu-Batı Almanya arasındaki gerilimi ve Berlin Duvarı’nın yıkılışını da ele almaktadır. Ayrıca aile üyeleri arasındaki karmaşık ilişkileri ve bu ilişkilerin üçüncü kuşak üzerindeki ruhsal durumunu da incelemektedir. Dolayısıyla yazar bunu yaparken, geçmiş ve günümüz arasında gidip gelen bir anlatım tarzı kullanarak romanına derinlik katmaktadır. Bu bilgiler ışığında, romanda geçmişle yüzleşme, aile sırları ve suçluluk duygusu, milliyetçilik ve savaş sonrası üçüncü kuşak gibi temalar işlenmektedir.
Sprechen wie eine Deutsche durch tägliches Hören: Erfahrungen einer Studentin
Authors: Arslan Çavuşoğlu Ayşe , Karadağ Nur Hilal
Published: December 2024

Diese Studie wurde durchgeführt, um die Lernstrategien einer Person zu identifizieren, die aufgrund ihrer Aussprache als aus dem Zielland stammend angesehen wurde, obwohl sie tatsächlich nie in diesem Land war. In der Studie wurde die qualitative Forschungsmethode verwendet, um Daten zu sammeln. Ein Interviewleitfaden wurde erstellt und die Interviews wurden aufgezeichnet. Anschließend wurden die Tonaufnahmen transkribiert und die Daten wurden analysiert, indem Inhaltsanalysen durchgeführt wurden. Durch die Analyse wurden Kodierungen auf die von der Teilnehmerin hervorgehobenen und von der Forscherin als bedeutend erachteten Ausdrücke angewendet. Aus den Codes wurden verschiedene Kategorien identifiziert, darunter Hörgewohnheiten und deren Auswirkungen, Aussprache und Sprechen, Erlernen des Hörverständnisses, Hörverständnisübungen und Vorbereitungen, Sprechflüssigkeit, und Zusammenhang zwischen Hören und Sprechen. In der Studie wurde festgestellt, dass die Teilnehmerin während der Pandemieperiode intensives Hörtraining absolvierte und insbesondere täglich, ohne das ausdrückliche Ziel, ihre Sprachkenntnisse zu verbessern, verschiedene deutsche Musik, Podcasts usw. hörte. Die Teilnehmerin spricht langsam, jedoch mit einem Akzent, der dem standardmäßigen Deutsch entspricht. Das auffälligste Ergebnis dieser Fallstudie ist, dass tägliches Zuhören in der Zielsprache bei der interviewten Person die Aussprache erheblich verbessert hat. Es wird empfohlen, dass tägliche Höraktivitäten nicht zufällig, sondern entsprechend dem eigenen Sprachniveau des Lernenden durchgeführt werden, um Aussprache und Sprechflüssigkeit gezielt zu fördern.
Komparative Betrachtungen juristischer Texte: Türkische und deutsche Gerichtsurteile im Fokus
Authors: Öncü Mehmet Tahir , Demirel Ali
Published: December 2024

Im Zuge der Globalisierung steigt der Bedarf an qualitativ hochwertigen juristischen Übersetzungen und Dolmetschleistungen. Übersetzer im juristischen Bereich müssen daher fundierte Kenntnisse sowohl der ausländischen als auch der nationalen Rechtsordnungen besitzen. Eine durchschnittliche Fremdsprachenkompetenz reicht für die Übersetzung von Rechtstexten nicht aus; eine präzise Beherrschung der juristischen Terminologie in der Ausgangs- und Zielsprache ist erforderlich. Zudem muss der Übersetzer in der Lage sein, die rechtlichen Konzepte eines nationalen Rechtssystems mit denen eines ausländischen zu vergleichen und korrekte Übersetzungen anzufertigen. In diesem Zusammenhang agiert der Dolmetscher als Spezialist für juristische Übersetzungen, der nicht nur die Sprache, sondern auch die kulturellen und rechtlichen Kontexte versteht.
Diese Arbeit untersucht Gerichtsurteile türkischer und deutscher Familiengerichte. Im ersten Abschnitt erfolgt ein Vergleich der Rechtssysteme der Türkei und Deutschlands. Sodann wird sich der empirische Teil mit einer Untersuchung der türkischen und deutschen Rechtsterminologie anhand von Scheidungsurteilen befassen. Diese bilden das Forschungskorpus der Studie. Anhand der lexikalischen Merkmale der Rechtstexte werden die lexikalischen, insbesondere die etymologischen Merkmale der beiden Rechtssysteme analysiert und aufgezeigt.