bluuebunny/crossref_metadata_2025_split huggingface dataset:
İran Sefiri Prens Erfauddevle ve Barış Mesnevisi (Âvâze-i Bezm-i Sulh-i Lahey)
Authors: KALKANDELEN Ayşe Hilal 
Published: December 2023

Prens Erfauddevle Mirza Rıza Dâniş Han (1854-1930), İran’ın göçmen ailelerinden
birine mensup üst düzey görevlerde bulunmuş bir zattır. Emir subaylığı, büyükelçilik
danışmanlığı, dışişleri bakanlığı, başbakanlık ve elçilik yaptığı görevler arasındadır. Erfauddevle
Tahran’da ihtiyaç sahibi öğrencilerin eğitimine katkıda bulunmak amacıyla okul
kurmuş bir hayırsever, İstanbul’a göç eden İranlıların isteklerini üst makamlara iletmede
İran’ın resmi bir temsilcisidir. Örnek kişiliğinin yanında Erfauddevle iyi bir edebiyatçıdır.
“Rüşdiye” adıyla alfabenin ıslahı konusunda bir risale yazmış ve bu risale İstanbul’da
basılmıştır. Dönemin gazetelerinde yazdığı yazılar ve kitaplar dışında şiire olan tutkusunu
okuyarak ve mesneviler yazarak göstermiştir. Bunlardan biri İstanbul’da büyükelçi iken
yazdığı iki yüz beyitlik bir mesnevidir. Diğer bir mesnevi de Erfauddevle’nin 1899 yılında
Lahey şehrinde sözcü olarak katıldığı konferansta, “Barış Mesnevîsi” adıyla okuduğu,
bizim de üzerinde çalıştığımız mesnevidir. Farsça yazılmış olan bu mesnevi, Mustafa
Reşit Paşa (1277/1861-1355/1936) tarafından tercüme edilmiştir.
Mustafa Reşit Paşa, İstanbul’da Maarif Nezareti dairelerinde mümeyyizlik ve müdürlük
yapmış bir şairdir ve yazdığı risalelerle meşhur olmuştur, pek çok eseri bulunmaktadır. Erfauddevle’nin Mesnevi-i Tûl-i ‘Omr-i Tabiî-i İnsan ve Âvâze-i Bezm-i Sulh-i
Lahey isimli Farsça mesnevilerini Osmanlı alfabesi ile manzum olarak tercüme etmiştir.
İlk mesnevi hakkında bir yüksek lisans tezi yapılmış ve eser tanıtılmıştır. İkinci mesnevi
hakkında ise akademik bir çalışma yoktur. Bu amaçla mesnevi Farsça metni ve Osmanlıca
tercümesi ile ortaya konmuş, İranlı sefir, şair kimliğiyle tanıtılmıştır.
Vitruvius’un De Architectura’sında Felsefe ve Mimarlık İlişkisi
Authors: DUGAN Mehmet 
Published: December 2023

Vitruvius, MÖ I. yüzyılda Roma’da yaşamış bir mimar olup, yazmış olduğu De
Architectura Libri Decem (Mimarlık Üzerine On Kitap) adlı on kitaptan oluşan eseri
ile mimarlık tarihinde çok önemli bir yer edinmiştir. Onun bu eseri genel itibarıyla
mimarlık ile ilgili teorik ve pratik bilgileri içermesinin yanı sıra terminoloji ve yapı bilgisi
bakımından klasik arkeoloji için de temel kaynak olma hüviyetindedir. Diğer bir taraftan
Vitruvius’un özellikle ilk kitabında ele aldığı hususlar felsefe tarihi açısından dikkate
değer gözükmektedir. Çünkü o, bu bölümde bir mimarın alması gereken eğitimlerden
bahsederken felsefeye de yer verir. Bu durumun neden ve amaçları ilgili bölümde kısaca
açıklansa da yaşadığı dönemin siyasi ve toplumsal yapısı ile döneme etki eden felsefî
anlayışlar incelenerek detaylandırılması mümkündür. Mimarlık ile felsefenin yan yana
gelmesi hatta bir mimarın felsefeye olan gereksinimi aslında o dönemin felsefeye olan
bakış açısını da yansıtmaktadır. Karşılaştırmalı bir yöntem ile yapılan bu çalışmada
Vitruvius’un felsefeyi mimarlık ile nasıl ilişkilendirdiği, ona göre bir mimarın alması
gereken eğitimler arasında neden felsefenin de olması gerektiği incelenmiştir. Bunu
yaparken dönemin felsefî birikimine de temas edilip Vitruvius’un düşünsel kaynaklarının neler olabileceği ortaya konulmaya çalışılmıştır. Mimarlığın yanı sıra başka alanların da
felsefe ile olan ilişkilerine değinilerek felsefenin bilimleri kuşatıcı rolüne işaret edilmiştir.
Aʻlâ Sûresi 4 ve 5. Âyetlerin Kömürün Teşekkülüne İşaret Ettiği Savının Hanefî Delâlet Teorisi Işığında İncelenmesi
Authors: ÜNAL Serkan 
Published: December 2023

Kur’ân-ı Kerîm ihtiva ettiği derin ve zengin mânâ hazinesinden dolayı tarih boyunca
çok yönlü incelemelere tabi tutulmuştur. Kur’ân’ın içerdiği kâinata dair sırları, incelikleri
ve hakîkatleri konu edinen ya da onlara işârette bulunan kevnî âyetler de böyle bir ilgiye
mazhar olmuştur denilebilir. Nitekim bu kabilden muhtevaya sahip âyetler bilimsel açıdan
çeşitli yaklaşımlar ışığında değerlendirilmiş, âyetlerin içeriği ile ilgili bilimsel veri ve
bilgiler arasında ilintiler bulunmaya çalışılmıştır. Bu şekilde yaklaşımlardan biri de Aʻlâ
sûresi 4 ve 5. âyetlerin, kömürün teşekkülüne delâlet ettiği savıdır. Özellikle İskenderânî
ile dillendirilen bu sav, modern dönem bazı ilim adamları tarafından da ilgiye layık
görülmüştür. Çalışmada söz konusu sav, kendisine zemin teşkil ettiği düşünülen anahtar
kelimeler üzerinden, hanefî delâlet teorisi ölçüt olarak kullanılarak irdelenmiş ve savın,
delâlet kapsamında olup olmadığının tespiti yapılmaya çalışılmıştır.
The USGS 2023 Conterminous U.S. Time-Independent Earthquake Rupture Forecast
Authors: Field Edward H. , Milner Kevin R. , Hatem Alexandra E. , Powers Peter M. , Pollitz Fred F. , Llenos Andrea L. , Zeng Yuehua , Johnson Kaj M. , Shaw Bruce E. , McPhillips Devin , Thompson Jobe Jessica , Shumway Allison M. , Michael Andrew J. , Shen Zheng-Kang , Evans Eileen L. , Hearn Elizabeth H. , Mueller Charles S. , Frankel Arthur D. , Petersen Mark D. , DuRoss Christopher , Briggs Richard W. , Page Morgan T. , Rubinstein Justin L. , Herrick Julie A. 
Published: December 2023

ABSTRACT
We present the 2023 U.S. Geological Survey time-independent earthquake rupture forecast for the conterminous United States, which gives authoritative estimates of the magnitude, location, and time-averaged frequency of potentially damaging earthquakes throughout the region. In addition to updating virtually all model components, a major focus has been to provide a better representation of epistemic uncertainties. For example, we have improved the representation of multifault ruptures, both in terms of allowing more and less fault connectivity than in the previous models, and in sweeping over a broader range of viable models. An unprecedented level of diagnostic information has been provided for assessing the model, and the development was overseen by a 19-member participatory review panel. Although we believe the new model embodies significant improvements and represents the best available science, we also discuss potential model limitations, including the applicability of logic tree branch weights with respect different types of hazard and risk metrics. Future improvements are also discussed, with deformation model enhancements being particularly worthy of pursuit, as well as better representation of sampling errors in the gridded seismicity components. We also plan to add time-dependent components, and assess implications with a wider range of hazard and risk metrics.
A Comprehensive Fault-System Inversion Approach: Methods and Application to NSHM23
Authors: Milner Kevin R. , Field Edward H. 
Published: December 2023

ABSTRACT
We present updated inversion-based fault-system solutions for the 2023 update to the National Seismic Hazard Model (NSHM23), standardizing earthquake rate model calculations on crustal faults across the western United States. We build upon the inversion methodology used in the Third Uniform California Earthquake Rupture Forecast (UCERF3) to solve for time-independent rates of earthquakes in an interconnected fault system. The updated model explicitly maps out a wide range of fault recurrence and segmentation behavior (epistemic uncertainty), more completely exploring the solution space of viable models beyond those of UCERF3. We also improve the simulated annealing implementation, greatly increasing computational efficiency (and thus inversion convergence), and introduce an adaptive constraint weight calculation algorithm that helps to mediate between competing constraints. Hazard calculations show that ingredient changes (especially fault and deformation models) are the primary driver of hazard changes between NSHM23 and UCERF3. Updates to the inversion methodology are also consequential near faults in which the slip rate in UCERF3 was poorly fit or was satisfied primarily using large multifault ruptures that are now restricted by explicit b-value and segmentation constraints.
Russian-American relations after the end of the Ukrainian conflict: American experts’ opinion
Authors: Kozlov Korney 
Published: December 2023

Nowadays the relations between the two great powers – The United States and Russia – are at their lowest point over the past 30 years. After the start of Russia&apos;s special military operation in Ukraine in February 2022 the United States and its allies expect to &quot;inflict a strategic defeat on Russia on the battlefield&quot;.
However, after 20 months of the conflict, it became obvious that Russia could not be defeated, and now it has much better chances of winning than it seemed earlier. Despite the US officials public statements to help Ukraine &quot;as long as it takes&quot;, it&apos;s obvious that the conflict will be over sooner or later, and Russia&apos;s winning, so the USA will have to rebuild relations with it in the new terms. The US experts from some «think tanks» give their options how to do it after the end of the conflict in Ukraine.
LA ÓRBITA DEL SATÉLITE LIBERTAD 1
Authors: Portilla José Gregorio 
Published: December 2023

Inicialmente hacemos una descripción de la génesis del satélite Libertad 1, un CubeSat de tipo 1U adquirido y adaptado por la Universidad Sergio Arboleda el cual se constituyó en el primero objeto en orbitar la Tierra por parte de una institución colombiana. Posteriormente se realiza un análisis de sus elementos orbitales registrados por el NORAD y se calculan las tasas de decaimiento del semieje mayor causado por rozamiento atmosférico en un periodo de cinco años. A partir de estos valores procedemos a una estimación de la densidad promedio de la atm´ósfera terrestre a una altura cercana a los 720 km.
17β-Estradiol Effects in Skeletal Muscle: A 31P MR Spectroscopic Imaging (MRSI) Study of Young Females during Early-Follicular (EF) and Peri-ovulation (PO) Phases
Authors: Ren Jimin , Rodriguez Luis , Johnson Talon , Henning Anke , Dhaher Yasin 
Published: December 2023

The natural variation in estrogen secretion throughout the female menstrual cycle impacts various organs, including estrogen receptor (ER)-expressed skeletal muscle. Many women commonly experience increased fatigue or reduced energy levels in the days leading up to and during menstruation when blood estrogen levels decline. Yet, it remains unclear whether endogenous 17β-estradiol, a major estrogen component, directly affects energy metabolism in skeletal muscle due to the intricate and fluctuating nature of female hormones.
In this study, we employed 3D 31P FID-MRSI to investigate phosphoryl metabolites in the soleus muscle of a cohort of young females (average age: 28 ± 6 years, n = 7) during the early follicular (EF) and peri-ovulation (PO) phases when their blood 17β-estradiol levels differ significantly (EF: 28 ± 18 pg/mL vs. PO: 71 ± 30 pg/mL, p &lt; 0.05), while the levels of other potentially interfering hormones remain relatively invariant. Our findings reveal a reduction in ATP-referenced phosphocreatine (PCr) levels in the EF phase compared to the PO phase for all participants (5.4 ± 4.3%). Furthermore, we observe a linear correlation between muscle PCr levels and blood 17β-estradiol concentrations (r = 0.64, p = 0.014). Conversely, inorganic phosphate Pi and phospholipid metabolite GPC levels remain independent of 17β-estradiol but display a high correlation between EF and PO phases (p = 0.015 for Pi and p = 0.0008 for GPC).The robust association we have identified between ATP-referenced PCr and 17β-estradiol suggests that 17β-estradiol plays a modulatory role in the energy metabolism of skeletal muscle.
Developing Electronic Student Worksheet based on Probing Prompting Learning Method using Google Form on Social Arithmetic
Authors: Levia Tilza , Maulidiya Della , Siagian Teddy Alfra 
Published: December 2023

<p class="06ContentAbstract">This study aims to feasibility electronic student worksheet with the Probing Prompting learning method using Google Form on social arithmetic material for valid, practical, and effective. This research was used an ADDIE model, that consist of analyze, design, development, implementation, and evaluation. The research instrument include of validation sheets, practicality sheets, and tests of mathematical problem solving abilities. This research produced an electronic student worksheets based on probing prompting usng Google Form on social arithmetic material. of seventh-grade students was included in the following criteria: 1) Very valid based on content assessment, construct assessment, language assessment, media assessment; 2) Practical based on 11 aspects of assessment; 3) Effectiveness based on classical learning mastery, namely 90% of students who complete score ≥70 and the results of the N-Gain calculation of problem solving abilities with an average N-Gain of 0.77 are in the high category.</p><p class="06ContentAbstract"> </p><p>Penelitian ini bertujuan untuk menghasilkan lembar kerja peserta didik berbentuk elektronik dengan metode pembelajaran Probing Prompting menggunakan Google Form materi aritmatika sosial yang valid, praktis, dan efektif. Penelitian ini adalah penelitian dan pengembangan model ADDIE, yaitu analisis, desain, pengembangan, implementasi, dan evaluasi. Instrumen penelitian ini terdiri dari lembar validasi, lembar kepraktisan, dan tes kemampuan pemecahan masalah matematis. Penelitian ini menghasilkan LKPD elektronik berbasis probing prompting menggunakan Google Form pada materi aritmatika sosial peserta didik kelas VII memenuhi kriteria: 1) Sangat valid berdasarkan aspek penilaian isi, aspek konstruk, aspek bahasa, aspek media; 2) Praktis; 3) Efektif berdasarkan ketuntasan belajar klasikal yaitu 90% peserta didik yang tuntas memperoleh nilai ≥70 dan hasil perhitungan N-Gain kemampuan pemecahan masalah dengan rata-rata N-Gain 0,77 berada pada kategoti tinggi.</p>
Double-Barrel Vascularized Free Fibula Flap for Reconstruction of Sternal Nonunion with Bone Defect
Authors: Perez-Otero Sofía , Bekisz Jonathan M. , Sánchez-Navarro Gerardo , Chang Stephanie H. , Levine Jamie P. 
Published: December 2023

Case:
Given the rare incidence of sternal nonunion after traumatic injury, literature describing the management of posttraumatic sternal reconstruction is limited. We present a case of a 54-year-old man with a history of traumatic chest wall injury with multiple unsuccessful attempts at sternal repair who presented with chronic sternal nonunion and persistent bone defect. Sternal reconstruction using a vascularized double-barrel free fibula flap with rigid fixation in multiple planes was performed, with confirmed bony union at 6 months.

Conclusion:
This novel approach to sternal nonunion management allowed effective bridging of posttraumatic sternal bone defects while facilitating osseous integration and long-term stabilization.
Melting of Subducted Continental Crust in the Cimmerian Collisional Orogenic Belt, NE Iran
Authors: Yang Zong-Yong , Bi Xian-Wu , Zhu Jing-Jing , Hu Ruizhong , Hollings Pete , Sholeh Ali , Pan Li-Chuan , Huang Ming-Liang 
Published: December 2023

Abstract
The subduction of continental crust in orogenic belts that are not associated with high-pressure metamorphism is still poorly understood. The Late Triassic postcollisional granitic rocks of NE Iran are related to the convergence between the Central Iran terrane and the Turan terrane on the southern margin of the Eurasian continent. They intruded into the Paleo-Tethyan suture between the Central Iran and Turan terranes. Granitoids of the Torbat-e-Jam pluton were emplaced at ca. 217 Ma, and their moderately high SiO2 (&gt;64 wt. %), low MgO contents (mostly &lt;2 wt. %), slightly depleted Sr-Nd, and zircon Hf isotopes suggest partial melting of a juvenile crust. Granodiorites from NW and SE Mashhad were emplaced at ca. 217 and 200 Ma, and their geochemical features and enriched Sr-Nd and zircon Hf isotopes suggest melting of continental crust. Inherited zircon cores in both the NW and SE Mashhad intrusions have dominant age peaks of ca. 540 and 770 Ma, similar to the age spectrum of adjacent Paleozoic sediments derived from the Central Iran terrane, but distinct from Triassic sediments sourced from the Turan terrane. The inherited zircon cores cannot be explained by crustal contamination during magma ascent, rather the age pattern of inherited zircon cores coincides with major magmatic events in the Central Iran terrane and fingerprint their source, suggesting partial melting of the subducted Central Iran continental crust. This study suggests that the melting of subducted continental crust can occur in simple collisional belts, rather than being confined to ultrahigh-pressure metamorphic orogenic belts.
Feature Extraction in Time-Lapse Seismic Using Deep Learning for Data Assimilation
Authors: Exterkoetter Rodrigo , Dutra Gustavo R. , de Figueiredo Leandro P. , Bordignon Fernando , Neto Gilson M. S. , Emerick Alexandre A. 
Published: December 2023

Summary
Assimilation of time-lapse (4D) seismic data with ensemble-based methods is challenging because of the massive number of data points. This situation requires excessive computational time and memory usage during the model updating step. We addressed this problem using a deep convolutional autoencoder to extract the relevant features of 4D images and generate a reduced representation of the data. The architecture of the autoencoder is based on the VGG-19 network, a deep convolutional architecture with 19 layers well-known for its effectiveness in image classification and object recognition. Some advantages of VGG-19 are the possibility of using some pretrained convolutional layers to create a feature extractor and taking advantage of the transfer learning technique to address other related problem domains. Using a pretrained model bypasses the need for large training data sets and avoids the high computational demand to train a deep network. For further improvements in the reconstruction of the seismic images, we apply a fine-tuning of the weights of the latent convolutional layer. We propose to use a fully convolutional architecture, which allows the application of distance-based localization during data assimilation with the ensemble smoother with multiple data assimilation (ES-MDA). The performance of the proposed method is investigated in a synthetic benchmark problem with realistic settings. We evaluate the methodology with three variants of the autoencoder, each one with a different level of data reduction. The experiments indicate that it is possible to use latent representations with major data reductions without impairing the quality of the data assimilation. Additionally, we compare central processing unit (CPU) and graphics processing unit (GPU) implementations of the ES-MDA update step and show in another synthetic problem that the reduction in the number of data points obtained with the application of the deep autoencoder may provide a substantial improvement in the overall computation cost of the data assimilation for large reservoir models.
Failure Probability Prediction for Offshore Floating Structures Using Machine Learning
Authors: Lim H. 
Published: December 2023

Summary
Accurately estimating the failure probability is crucial in designing civil infrastructure systems, such as floating offshore platforms for oil and gas processing/production, to ensure their safe operation throughout their service periods. However, as a system becomes complex, the evaluation of a limit state function may involve the use of an external computer solver, resulting in a significant computational burden to perform Monte Carlo simulations (MCS). Moreover, the high-dimensionality of the limit state function may limit efficient sampling of input variables due to the “curse of dimensionality.” To address these issues, an efficient machine learning framework is proposed, combining polynomial chaos expansion (PCE) and active subspace. This will enable the accurate and efficient evaluation of the failure probability of an offshore structure, which typically involves a large number of uncertain parameters. Unlike conventional PCE schemes that use the original random variable space or the auxiliary variable space for building a surrogate model, the proposed method utilizes a reduced-dimension space to circumvent the “curse of dimensionality.” An appropriate coordinate transformation is first sought so that most of the variability of a limit state function can be accounted for. Next, a PCE surrogate limit state function is constructed on the derived low-dimensional “active subspace.” The Gram-Schmidt orthogonalization process is used for making basis polynomial functions, which is particularly effective when input random parameters do not follow the Askey scheme and/or when a dependence structure between the input parameters exists. Therefore, a nonlinear iso-probabilistic transformation, which makes the convergence of a surrogate to the true model difficult, is not required, unlike traditional PCE. Numerical examples, including limit state functions related to structural dynamics problems, are presented to illustrate the advantages of the proposed method in estimating failure probabilities for complex structural systems. Specifically, the method exhibits significantly improved efficiency in estimating the failure probability of an offshore floating structure without compromising accuracy as compared to traditional PCE and MCS.
An Intelligent Decision Framework For Facial Expression Recognition Based On Deep Learning
Authors: Pan Xianzhang 
Published: December 2023

Abstract
Facial expression recognition is very important for computer interacting with human. In this paper, the intelligent decision framework based on deep learning is proposed to improve the accuracy of facial expression recognition, which employs three channels to extract different complementary deep features. Each channel has the combination of different convolution layers and MaxPool layers and alleviating the gradient disappearance problem by residual network to obtain the possible expression. Finally, the results of three channels are employed to obtain the final facial expression by the intelligent decision function. Experiments on the public datasets of Fer2013 and Afew5.0 show the effective results.
Mechanical and Dielectric Properties of Silver Polyvinyl Alcohol Nanocomposite Films
Authors: Karmakar Narayan. S. , Valavade A. V. , Khandekar P. L. , Jain Shilpa , Shah Akshara , Phirke Ajay. , Kothari D 
Published: December 2023

Abstract
Wet casting was used to make silver (Ag) nanoparticles in a water-soluble polyvinyl alcohol (PVA) matrix, which led to the in-situ creation of silver polyvinyl alcohol nanocomposite films (Ag-PVA). The nanocomposite films were characterized by X-ray diffraction analysis and X-ray photoelectron spectroscopy, in order to determine the impact of varying Ag-nanoparticle concentrations in the PVA matrix. By adjusting the concentration of Ag nanoparticles in the polymer matrix, the mechanical and dielectric characteristics of Ag-PVA nanocomposite films were investigated. The findings demonstrate that adding AgNPs changes the PVA polymer's optical characteristics. Therefore, the Ag-PVA nanocomposites films created may be used in optoelectronic devices.