bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on optimization of combustor liner structure based on arc-shaped slot hole
Authors: He Zhenpeng , Huang Tao , Bao Zhenxing , Lei Ziyi , Zhang Baoshen , Luo Gui , Cai Meng 
Published: August 2024

Abstract
The flow and heat transfer characteristics of the fluid in the combustor were investigated using numerical simulation in this study. The physical properties of the cooling airflow were fully utilized, and the structure of the combustor was improved. Film hole with novel structure (arc-shaped slot hole) was proposed and compared with cylindrical hole. The optimization schemes for the combustor liner structure were established, in the meanwhile, the influence of different inclinations and slot depths on the temperature distribution of the combustor liner wall was investigated. Compared with the original structure, the average temperature of the target cooling zones in these optimized schemes are reduced by a minimum of 15.12% (227.1 K) and a maximum of 20.65% (351.6 K). A new assessment model (weighted average temperature assessment model) was proposed to provide an effective assessment of the overall cooling effect. The following conclusions were arrived at: high temperature in localized areas is an important reason for the damage of combustor liner wall. Compared to cylindrical hole, the cooling performance of arc-shaped slot hole is better. When the hole type is the same, the larger inclination has higher jet height than the smaller inclination, and the cooling effect is worse. Increasing the slot depth h can improve the cooling efficiency.
KEEFEKTIFAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING BERNUANSA ETNOMATEMATIKA TERHADAP KEMAMPUAN PEMECAHAN MASALAH SISWA KELAS VIII
Authors: Abdullah Dian Insani , Mastur Zaenuri , Sutarto Hery 
Published: August 2024

Tujuan penelitian ini untuk mengetahui model pembelajaran PBL bernuansa etnomatematika efektif terhadap kemampuan pemecahan masalah siswa. Populasi dalam penelitian ini adalah siswa pada kelas VIII SMP N 1 Demak tahun pelajaran 2014/2015. Pengambilan sampel menggunakan cluster random sampling. Pengumpulan data dilakukan dengan metode dokumentasi, observasi, angket, dan tes. Analisis data menggunakan menggunakan uji One Sample T Test, uji proporsi, uji Independent Samples T Test dan uji regresi linear berganda. Hasil Penelitian menunjukkan bahwa (1) kemampuan pemecahan masalah siswa yang memperoleh pembelajaran model PBL bernuansa etnomatematika mencapai KKM, (2) kemampuan pemecahan masalah siswa yang memperoleh pembelajaran model PBL mencapai KKM (3) kemampuan pemecahan masalah siswa yang memperoleh pembelajaran model PBL bernuansa etnomatematika lebih tinggi daripada kemampuan pemecahanÂ masalah siswa dengan model PBL, (4) terdapat perbedaan sikap terhadap budaya lokal antara sebelum dan setelah diterapkan pembelajaran model PBL bernuansa etnomatematika dan (5) aktivitas belajar siswa dan sikap terhadap budaya lokal siswa berpengaruh terhadap kemampuan pemecahan masalah siswa, sehingga dapat disimpulkan model pembelajaran PBL bernuansa etnomatematika efektif terhadap kemampuan pemecahan masalah siswa kelas VIII.
Introduction: In These Uncertain Times, Pittsburgh
Authors: Ford Leon , Fracul Deanna 
Published: August 2024

The COVID-19 pandemic and mass protests in response to the murder of George Floyd during the spring and summer of 2020 gave rise to the phrase “in these uncertain times” as a frame for everyday life in the United States and abroad. For this special issue of Kalfou, we explore uncertainty as a theme for discussions of racism and injustice in a time when even those shielded by significant privilege have been left feeling uprooted and alone.
This nation has seen horrifying killings of people of color since before its inception. We have also seen pandemics before, as well as the day-to-day health crisis produced by socioeconomic inequality. Yet while resistance, indignation, and protests against such inhumanity are common, we sensed that something was different this time as our elders and young people marched through cities of all sizes. We had not seen white participation at these levels or an executive branch as willfully outrageous as that of our forty-fifth president. Was this a perfect storm that might sweep in significant advances toward equality and justice, or would things get worse? What is the best that we can hope for in these uncertain times, and what is required of us to make it a livable reality in the coming days?
MENANAMKAN NILAI TOLERANSI MELALUI SEMINAR MODERASI BERAGAMA DI MA MAZRA’ATUL ULUM PACIRAN
Authors: Rifa’i Ahmad Suzaki , Maskanah Ulfa , Fadilillah Tegar Adlu , Nuriyah Addina Silky 
Published: August 2024

This article discusses the implementation of religious moderation through a seminar held at Mazra'atul Ulum Paciran Islamic Senior High School (MA). The seminar aims to enhance participants' understanding of the values of tolerance and moderation in the context of religious diversity in Indonesia. Using a qualitative approach, the seminar involved all MA students as well as school stakeholders in discussions and interactive activities led by speaker Luqman Hakim S. Pd. The results of the seminar indicate an improvement in participants' understanding of the importance of moderation in maintaining harmony among religious communities, as well as their ability to formulate strategies to address challenges in implementing moderation values in daily life. The conclusion of this article emphasizes the importance of moderation seminars as a concrete step in shaping a young generation that is inclusive and tolerant in facing diversity in society.

Abstrak
Artikel ini membahas penerapan moderasi beragama melalui seminar yang dilaksanakan di Madrasah Aliyah (MA) Mazra'atul Ulum Paciran. Seminar tersebut bertujuan untuk meningkatkan pemahaman peserta tentang nilai-nilai toleransi dan moderasi dalam konteks keberagaman agama di Indonesia. Dengan menggunakan metode pendekatan kualitatif, seminar ini melibatkan seluruh siswa-siswi MA serta pihak sekolah dalam diskusi dan aktivitas interaktif yang dipimpin oleh pemateri Luqman Hakim S. Pd. Hasil dari seminar ini menunjukkan peningkatan pemahaman peserta tentang pentingnya moderasi dalam menjaga kerukunan antarumat beragama, serta kemampuan mereka dalam merumuskan strategi untuk menghadapi tantangan dalam mengimplementasikan nilai-nilai moderasi dalam kehidupan sehari-hari. Kesimpulan dari artikel ini menekankan pentingnya seminar moderasi sebagai langkah konkret dalam membentuk generasi muda yang inklusif dan toleran dalam menghadapi keragaman di masyarakat.
DINAMIKA KOMIK SEBAGAI MEDIA KOMUNIKASI VISUAL
Authors: Eka Kusuma Alfiandi , Setyoko Adnan 
Published: August 2024

Media komunikasi visual sangat beragam jenis dan bentuknya, salah satu media komunikasi visual yang mampu mengjangkau semua kalangan dan generasi adalah komik. Selain dipandang sebagai suatu bentuk media komunikasi visual, komik juga dapat dilihat sebagai sebuah produk seni serta artefak budaya popular. Komik sebagai bentuk media komunikasi visual yang unik, dapat menjadi media yang secara leluasa dapat mengusung berbagai topik dan gagasan. Penulis menggunakan jenis penelitian diskriptif kualtitatif dalam tulisan ini. Metode yang digunakan yaitu studi pustaka (library research). Pengumpulan data dilakukan dengan cara pembacaan kritis dan menganalisis berbagai pustaka yang relevan. Isi pembahasan tulisan ini terdiri dari mode kerja komik sebagai media komunikasi visual yang membahas bagaimana komik bekerja sebagai media komonikasi visual dan sejarah perkembangan komik. Sajian dari tulisan ini diaharapkan dapat menjadi topik kajian dan menambah kasanah wawasan serta pengetahuan secara lebih luas tentang komik sebagai sebuah media komunikasi visual.
Kata Kunci: komik , media komunikasi
Behind the Sadness of Teen Girls: A Retrospective Survey Analysis Amidst the Covid-19 Crisis of 2021
Authors: Baser Onur , Alsaleh Sara , Zeng Yixuan , Baser Isabel 
Published: August 2024

(1) Background: Adolescent girls have increasingly faced mental health challenges. We examined prevalence trends and associated risk factors for depression among adolescent girls. (2) Methods: Data for girls aged 12 to 17 years (N=4346) from the 2021 cross-sectional National Survey on Drug Use and Health were analyzed. Factors associated with depression were examined using multiple regression analysis. (3) Results: Rates of severe depression were significantly higher (p&amp;lt;.001) in older girls (adjusted odds ratio [AOR]: 1.63, 1.61, those who did not have authoritative parents (AOR: 3.40), and those with negative school experiences (AOR: 4.03). Black and Asian/Native Hawaiian or other Pacific Islanders were less likely to report severe depression than white girls. As previously reported, non-White girls were significantly less likely to receive treatment for depression (p&amp;lt;.05). Parents’ characteristics and school experiences had no effect on the likelihood of receiving mental health treatment. (4) Conclusion: Depression has become increasingly common among American adolescent girls, who are now three times as likely as adolescent boys to have had recent experiences with depression. Our results show that family structure, parenting style, and negative school experiences significantly contribute to the rate of depression and that treatment disparities exist with regard to race and ethnicity. The results of our research could be valuable for policymakers, healthcare professionals, and educators in developing specific preventative initiatives and support networks that effectively address these unique challenges.
METHODOLOGY FOR DETERMINING THE IMPACT OF DIGITAL TECHNOLOGIES ON ECONOMIC POLICY
Authors: Mekhovych Serhii , Kuzminsky Kostyantyn 
Published: August 2024

The article examines current issues related to the creation of a single international digital market and their impact on economic policy. It is emphasized that the conditions under which the industrial complex of Ukraine should function in the near future are under the influence of globalization. Brief information on the essence of these processes is provided. It is noted that digitization is carried out within the framework of economic policy, which in the EU is aimed at creating a single international digital market. The characteristic features of this process are given. It is also noted that according to the policy adopted by the EU, over the next five years it is planned to focus on three key objectives to ensure that digital solutions will help Europe to follow its own path to a digital transformation that works for the good of people through respect for our values, namely, implementing technologies that work for people, building a fair and competitive economy and an open, democratic and sustainable society. A brief description of each direction is provided. It stands to reason that every citizen, every worker, every businessman should have a fair chance, wherever they live, to reap the benefits of our increasingly digitized society. Digital solutions such as communication systems, artificial intelligence or quantum technologies can enrich our lives in many ways, although the benefits of digital technologies do not come without risks and costs. Citizens are no longer unable to control what happens to their personal data and are increasingly overwhelmed by the demands of their attention. It highlights that malicious cyber activity can threaten our personal well-being or disrupt our critical infrastructure and create wider security challenges. The unforeseen and unpredictable consequences of the intervention of artificial intelligence in the existence of humanity have already worried the inhabitants of the planet and the Governments of almost all countries. This significant societal transformation requires deep reflection at all levels of society on how Europe can best face these risks and challenges. The effectiveness of innovation policy, in particular, of the EU countries, based on the assessment of their level of readiness for the introduction of advanced digital technology - 5G Internet, is indicated. It is noted that the level of digitalization of business is the most significant factor of digitalization of the labor market, as it causes its quantitative and qualitative modifications.
Alzheimer Classification using Deep Learning and Augmentation
Authors: Dumre Prabin , Thakur Arastu , Sinha Deepak Kumar 
Published: August 2024

Abstract

Alzheimer's disease (AD) is a debilitating neurological condition marked by memory loss and an ongoing decrease in cognitive function. Timely management and enhanced patient outcomes are contingent upon an early and precise diagnosis. Deep learning has become an effective technique for AD classification. With the use of picture augmentation techniques and convolutional neural networks (CNNs), it suggests a unique deep learning framework for AD diagnosis. The methodology provides intuitive visualizations of individual vulnerability by creating high resolution (HR) diseases probability diagrams from local brain regions in magnetic resonance imaging (MRI) data. Previous research based on CNNs, and pre-trained models show the promise of deep learning for AD classification, obtaining over 90% accuracy as well as F1 score for all AD phases. Using Convolutional Neural Networks (CNNs) and picture augmentation techniques on an augmented dataset, this research presents a unique deep learning framework for diagnosing AD and distinguishing four stages of the disease: moderate, non-demented, mild, and very mild. This framework is effective in accurately diagnosing AD phases, as proven by its remarkable 94.6% accuracy. In addition, the framework produces high-resolution disease probability maps, which is a major improvement over current techniques and offers clear visualizations of individual risk.
Improvement the classification of a nanocomposite using nanoparticules based on a meta-analysis study, Recurrent Neural Network and Recurrent Neural Network Monte-Carlo algorithms
Authors: LOUKIL Rania , GAZEHI Wejden , Besbes Mongi 
Published: August 2024

Abstract

This paper may be the first meta-analysis that presents a comprehensive synthesis of scientific works spanning the last five years, focusing on methodologies and results related to the analysis of nanocomposite using nanoparticules. The primary objective is to identify the optimal algorithm using software information and leading to better classification methodology. Specifically, this study come up with the advantages and the drawbacks of the most used algorithms and proposes an enhancement and performance of Recurrent Neural Networks based Long Short Term Memory (LSTM) neurons. Besides, a comparaison of Deep Learning methods for the classification of polymeric nanoparticles, with polypropylene serving as a case study will be implemented. Experiment comparison were conducted to assess with one physical property, later expanded to four properties and finally to eight properties. Neural networks, including Artificial Neural Networks (ANN), Recurrent Neural Networks (RNN), and Recurrent Neural Networks-Monte Carlo, were employed for simulations. The evaluation criteria encompassed accuracy, calculation time, mean square error (MSE) and other metrics. The findings contribute to the selection of an optimal algorithm for the analysis of polymeric nanoparticles, emphasizing the potential of Deep Learning methodologies, particularly Recurrent Neural Networks Monte Carlo, in advancing classification accuracy and efficiency.
scCobra: Contrastive cell embedding learning with domain-adaptation for single-cell data integration and harmonization
Authors: Ding Jun , Zhao Bowen , Wei Dong-qing , Xiong Yi 
Published: August 2024

Abstract

The rapid development of single-cell technologies has underscored the need for more effective methods in the integration and harmonization of single-cell sequencing data. The prevalent challenge of batch effects, resulting from technical and biological variations across studies, demands accurate and reliable solutions for data integration. Traditional tools often have limitations, both due to reliance on gene expression distribution assumptions and the common issue of over-correction, particularly in methods based on anchor alignments. Here we introduce scCobra, a deep neural network tool designed specifically to address these challenges. By leveraging a deep generative model that combines a contrastive neural network with domain adaptation, scCobra effectively mitigates batch effects and minimizes over-correction without depending on gene expression distribution assumptions. Additionally, scCobra enables online label transfer across datasets with batch effects, facilitating the continuous integration of new data without retraining, and offers features for batch effect simulation and advanced multi-omic batch integration. These capabilities make scCobra a versatile data integration and harmonization tool for achieving accurate and insightful biological interpretations from complex datasets.
Optimizing Photon Capture: Advancements in AMCP Technology for Enhanced Timing and Photon Detection Efficiency
Authors: Frey Samira , Antognini Luca , Benserhir Jad , Ripiccini Emanuele , De Koning Coenraad , Riedo Andreas , Belhaj Mohamed , Charbon Edoardo , Ballif Christophe , Wyrsch Nicolas 
Published: August 2024

Abstract

Hydrogenated amorphous silicon based microchannel plates (AMCPs) provide unique advantages over conventional glass-based microchannel plates, offering enhanced flexibility in manufacturing and vertical integration with an electronic readout. A high single-channel gain of 1500 could be measured in the latest generation, making them an attractive choice for a wide range of applications, including medical imaging, mass spectrometry, and particle physics experiments. A time resolution of 4.6±0.1ps (FWHM) was measured when an AMCP was connected to an amplifier and exposed to a high photoelectron flux. By decreasing the flux of photoelectrons to roughly a few hundred to thousands, this value increased to 12.6±0.2ps (FWHM). By shortening the distance between the detector and a low noise amplifier, noise on the signal could be significantly reduced, and time resolutions below 10ps were measured even for low fluxes and signal amplitudes. While single-particle detection remains a challenge, our results highlight the exceptional potential of AMCPs in achieving outstanding timing resolution. Additionally, AMCPs with a funnel-shaped channel opening are presented as well, allowing for an active area of the detector of 95% and an electron detection efficiency above 92%, respectively. This novel design has been successfully fabricated and subjected to preliminary testing, showing promising results.
Understanding the impact of city-wide cycling corridors on cycling mode share among different demographic clusters in Greater Melbourne, Australia
Authors: Jafari Afshin , Pemberton Steve , Singh Dhirendra , Saghapour Tayebeh , Both Alan , Gunn Lucy , Giles-Corti Billie 
Published: August 2024

Abstract

In car-dominated cities like Melbourne, Australia, limited data on cyclists' travel patterns and socio-demographic differences complicate understanding the effectiveness of infrastructure investment interventions aimed at promoting cycling. Recent advancements in city-scale transport modelling enable virtual testing of such interventions. However, the application of agent- and activity-based models for large-scale cycling simulations has been constrained by data and complexity. In this study, we developed a city-scale agent-based simulation model for Greater Melbourne to evaluate changes in travel mode share from cycling infrastructure modifications. We clustered bicycle riders into five demographic groups: Maverick Males, Motivated Adults, Conscientious Commuters, Young Sprinters, and Relaxed Cruisers, estimating mode choice parameters for each group. Using aggregated smartphone application data, we developed a cycling trip routing methodology to incorporate road infrastructure impacts. Results indicated that travel time significantly influences mode choice across all clusters. Cycling infrastructure was crucial for four clusters, and travel cost influenced four clusters. The calibrated model assessed the potential impact of fully implementing Greater Melbourne's strategic cycling corridors, a network of key cycling routes. Simulations suggested an initial 30% increase in cycling use, raising the mode share to approximately 2.6%, indicating a modest overall impact. Further analysis showed that even with full implementation, on average about half of the lengths of the routed bikeable trips would still occur on roads without any cycling infrastructure. This underscores the need to improve infrastructure on both major corridors and minor roads, and to complement these improvements with behavioural interventions.
Impacts of urbanization on the quality of surface water in a watershed in the Brazilian Cerrado
Authors: Fuentes Terly Gabriela Quiñonez , Oliveira Georje Lincon De Castro , Souza Emanuele de Jesus , Nascimento Natália da Glória França , Marques Saulo José da Silva , Guedes Sayonara de Souza , de Melo Danilo Corado , Prudencio Claudia Vieira , Portella Roberto Bagattini , Chiarelotto Maico 
Published: August 2024

Abstract

The aim of this study was to assess the spatio-temporal variation in water quality in the Grande River and the Ondas River, in the city of Barreiras, Bahia, Brazil. Water samples were collected at 11 points along the rivers, and eight physical-chemical parameters (electrical conductivity, pH, alkalinity, apparent and true color, turbidity, dissolved oxygen and biochemical oxygen demand) and three microbiological indicators (heterotrophic bacteria, total and thermotolerant coliforms) were analyzed. Spatio-temporal variation was assessed using the multivariate techniques of Principal Component Analysis/Factorial Analysis (PCA/FA) and Hierarchical Cluster Analysis (HCA). The results of the PCA/FA highlighted eight of the eleven parameters as the main ones responsible for the variations in water quality, with the greatest increase in these parameters being observed in the rainy season, especially among the points influenced by sewage discharges and by the influence of the urban area. The CA grouped the results from 11 points into three main groups: group 1 corresponded to points influenced by sewage discharges; group 2 grouped points with mainly urban influences; and group 3 grouped points in rural areas. These groupings showed the negative influence of urbanization and also statistically significant variations between the groups and periods. The most degraded conditions were in group 1, and the least degraded conditions in group 3. Assessment of the variations between the monitoring periods showed that rainfall had a significant impact on the increase or decrease in the parameters assessed, as a result of surface runoff linked to urbanization and increased river flow.