bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiomics Prediction Models of Left Atrial Appendage Hypercoagulability Based on Machine Learning Algorithms: An Exploration about Cardiac Computed Tomography Angiography Imaging
Authors: Wang Hongsen , Ge Lan , Zhou Hang , Lu Xu , Yu Zhe , Peng Peng , Wang Xinyan , Liu Ao , Chen Tao , Guo Jun , Chen Yundai 
Published: September 2023

Abstract

Background: Transesophageal echocardiography(TEE) is the standard method for diagnosing left atrial appendage (LAA) hypercoagulability in patients with atrial fibrillation (AF), which means LAA thrombus/sludge, dense spontaneous echo contrastand slow LAA blood flow velocity (<0.25 m/s). Based on machine learning algorithms, cardiac computed tomography angiography (CCTA) radiomics features were adopted to construct prediction models and explore a suitable approach for diagnosing LAA hypercoagulability and adjusting anticoagulation.
Methods: This study included 652 patients with non-valvular AF. The univariate analysis were used to select meaningful clinical characteristics to predict LAA hypercoagulability. Then 3D Slicer software were adopted to extract radiomics features from CCTA imaging. The radiomics score was calculated using the least absolute shrinkage and selection operator logistic regression analysis to predict LAA hypercoagulability. We then combined clinical characteristics and radiomics scores to construct a nomogram model. Finally, we got prediction models based on machine learning algorithms and logistic regression separately.
Results: The area under the receiver operating characteristic curve of radiomics score was 0.8449 in the training set and 0.7998 in the validation set. The nomogram model had a concordance index of 0.838. The final machine-learning based prediction models had good performances (best f1 score = 0.85).
Conclusion:Radiomics features of long maximum diameter and high uniformity of Hounsfield unit in left atrial are significant predictors of the hypercoagulable state in LAA, with better predictive efficacy than clinical characteristics. Our combined models based on machine learning are reliable for hypercoagulable state screening and anticoagulation adjustment.
Community, Fellowship, Openness: Supporting Early Career Researchers through Open Educational Practices
Authors: Iniesto Francisco , Pitt  , Bossu Carina , Farrow Rob , Weller Martin 
Published: September 2023

Open communities are an increasingly common feature of educational spaces. This article summarises the experience of a fellowship scheme for early career researchers in open education supported by The Global OER Graduate Network (GO-GN), an international network to support doctoral candidates. Nine fellows over a three-year period were supported to conduct six-month personal projects to facilitate their academic career development post-doctoral studies. The fellowship scheme was structured into three, annual cohorts between 2020 and 2022.
Results from qualitative surveys and interviews indicate a positive and meaningful impact of the scheme. A key aspect of this type of initiative is the support given by more experienced academics and peer fellows. The fellowship scheme enabled the sharing of research among other PhD students and early career researchers through regular webinars and to broader audiences at internationally recognised conferences.
The results of this paper are of potential interest to those supporting doctoral researchers and organisations interested in running similar fellowships or other support schemes for doctoral researchers or other stakeholder groups.
Study the Corrosion Inhibition on the Iraqi Fuel Tanks using Cefoperazone Drug
Authors: Kadhim Akram Mohsin , Anaee Rana Afif , M. Hassan Mohammed Jasim , Al-lami Munaf Adnan Idan 
Published: September 2023

Corrosion is one of the most important problems that face the petroleum industry, both production and refining, and cause damage to petroleum equipment, tanks, and transmission lines, and increasing maintenance costs. in this study , was adding six concentrations of the drug expired Cefoperzone (Exp CEF) (50, 100, 200, 300, 400, and 500 ppm) to a Simulated Oil Well Water (SOWW), the inhibitive role of (Exp CEF) drug was investigated to Reduce the corrosion risk of carbon steel. Four different temperatures were used to conduct electrochemical tests (303, 313, 323 and 333 K) to achieve the study. The study was then supported by an examination of the inhibited surface using field emission scanning electron microscopy with energy dispersive (FESEM) and (AFM). The results indicated occurring the inhibition by an anodic inhibitor that controls the dissolution of iron from steel gave the highest inhibition efficiency (IE%) by adding 500 ppm, while the calculation of polarization resistance (Rp) gave the highest resistance by 400 ppm through adsorption the added drug to show flakes shaped structures with decreasing surface roughness (Ra ) from 307.1 to 83.15 after inhibition. The calculation of adsorption isotherm confirmed the obeying of Langmuir adsorption isotherm by giving the coefficient of linear regression was about one in the range of 0.999 > R^2 > 0.995, with the spontaneous adsorption that estimated from the negative values of 〖∆H〗_ads^o and variation in the type of adsorption to be physically or chemically according to the added concentration because of the differential sign of 〖∆H〗_ads^o . The sign of 〖∆H〗_ads^o was positive that reflecting the increase in randomness at the metal/solution interface.
Evaluation of some Hematological and Inflammatory Factors in Iraqi Patients Suffering from COVID-19 and Type 2 Diabetes Mellitus
Authors: Khalaf Qusay Abdulwahab , Rasool Khetam Habeeb , Naji Eman Natiq , Nasser Mohamad Merhi 
Published: September 2023

COVID-19 is a newly recognized sickness spreading rapidly worldwide and causing many consequences and deaths. Diabetes Mellitus(DM) is suggested as a risk factor that contributes to the severity and mortality of COVID-19. The present study investigates the levels of Lymphocytes, Neutrophils, C-reactive protein, D-dimer, and ferritin, in COVID-19 patients who suffer from type 2 diabetes mellitus (T2DM) and those without T2DM. 80 participants enrolled in this study, distributed into 4 groups; Group 1 (G1) included 20 patients with COVID-19 and T2DM; Group 2 (G2) comprised of 20 patients with COVID-19; Group 3(G3) included T2DM patients. In addition, 20 individuals were taken as a healthy control group. The patient samples were obtained from Ibn-AlKhateeb Hospital /Baghdad in the period between February to April 2022. A hematology automated device was utilized to count lymphocytes and neutrophils, while a biochemical automated device was employed to measure D-dimer, CRP, and ferritin. Regarding the blood immune cells, there was a significant decrease in lymphocyte counts and a significant increase in neutrophil counts in G1 and G2 groups compared to the healthy control group. The serum levels of the studying markers(CRP, D-dimer, and ferritin )were increased in the G1, G2, and G3 compared to the control group. Furthermore, patients in the G1 group had higher levels of these markers than in other groups, which are considered prognostic markers for COVID-19 infection.
Quantitative Analysis of Blurry Color Image Fusion Techniques using Color Transform
Authors: Mohammed Nawras Badeaa , Mohamad Haidar , Abbas Heba Kh. , Salim Ali Aqeel 
Published: September 2023

This work focuses on fused color images resulting from motion blur (left and right) with a blur block size of 11 pixels. The color conversion process was performed from RGB color space (Red, Green, Blue) to HSV (Hue, Saturation, Value), L*a*b*, and Ycbcr (Luminance, Chrominance) color space. The traditional (addition, multiplication) and proposed fusion techniques (absolute real standard deviation) were used for this purpose. The data was examined by quality criteria with reference (Mutual Information, Correlation Coefficient, Structural Content, Normalized Cross Correlation) and without reference (Blind Reference less Image Spatial Quality Evaluator, Naturalness Image Quality Evaluator, and Perception-based Image Quality Evaluator). In results and depending on the criteria, the best fusion method is the proposed real standard deviation.
Comparison of Frameworks for the Assessment of Decarbonisation of European National Building Stocks
Authors: Beltrán-Velamazán Carlos , Gómez-Gil Marta , López-Mesa Belinda , Monzón-Chavarrías Marta , González González Francisco 
Published: September 2023

Abstract
The European Union (EU), aware that having an energy efficient building stock is crucial to achieve decarbonisation goals and to improve people's quality of life, has established a legislative framework made up of Energy Performance of Buildings Directive (EPBDs) and Energy Efficiency Directive (EEDs) to support Member States’ (MS) governments in boosting energy performance of buildings by offering a broad range of policies and support measures. Since 2014, all EU countries must establish a long-term renovation strategy (LTRS) every three years to support the renovation of their national building stock into a highly energy efficient and decarbonised building stock by 2050, contributing to achieving the Member States’ energy and climate plans (NECPs) targets. The requirement for EU countries to adopt a LTRS was first set out in the EED (2012/27/EU) and was revised in 2018 EPBD (2018/844/EU). With the aim of facilitating the interpretation of the latter directive by the national governments, Commission Recommendation (EU) 2019/786 was published. In this recommendation a voluntary framework based on progress indicators to assess the decarbonisation of the building stock was proposed. Later, in 2021, a proposal for the recast of the EPBD was launched, and in 2023 it was amended. In these new versions, the LTRs are strengthened towards Building renovation plans (BRP). The plans will include national targets in a more unified and comparable approach, and progress will be measured through a compulsory assessment framework based on indicators, among other issues. In this paper, the assessment frameworks proposed in the Commission Recommendation (EU) 2019/786, the proposal for the EPBD recast (2021 version) and the 2023 amended version of the EPBD recast are compared. Additionally, 2020 Member States’ LTRSs are analysed, focusing on the indicators that each one proposes to assess the renovation progress in the country. Finally, the level of alignment between the indicators proposed by each national strategy and by the 2023 amended version of the EPBD recast is evaluated, in order to identify best practices among MS to get closer to the future ‘Building renovation plans’.
Effect of the Addition of Dispersed Reinforcement on the Resilient Modulus of Slightly Cemented Non-Cohesive Soil
Authors: Wasil Mariola , Dobrzycki Patryk , Zabielska-Adamska Katarzyna 
Published: September 2023

Abstract
The aim of this article is to determine the effect of the addition of dispersed reinforcement on the resilient modulus of non-cohesive soil used as material for improved subgrade or subbase course of the pavement structure. Resilient modulus (M
r) is a parameter used in road construction, which characterises soil subgrade or base aggregates stiffness in flexible pavement subjected to the traffic load. This article presents laboratory test results of non-cohesive coarse material (gravelly sand – grSa – without fines) with the addition of 1.5% cement and dispersed reinforcement – polypropylene fibres in lengths of 12, 18 and 40 mm. Tests were conducted on the samples with various percentages of fibres (0, 0.2 and 0.3%) relating to the dry mass of the soil. Samples were compacted according to the standard Proctor (SP) and modified Proctor (MP) methods. Main laboratory tests were conducted in the triaxial apparatus enabling testing samples subjected to cyclic loads according to AASHTO T307 standard. Resilient modulus was determined after 7 and 28 days of curing. The results indicate the influence of fibre amount, fibre length, and curing time on the M
r of the soil modified with 1.5% of cement. The obtained results were also influenced by the method of compaction. The addition of polypropylene fibres decreases the resilient modulus of soil stabilised by 1.5% of cement. The best results of dispersive reinforcement were obtained for samples containing 0.3% of fibres with a length of 18 mm, compacted by the MP methods.
Penerapan Algoritma Random Forest untuk Klasifikasi Jenis Daun Herbal
Authors: Sudiadi Sudiadi , Meiriyama Meiriyama 
Published: September 2023

Abstrak
Indonesia memiliki potensi yang besar dalam penyediaan sumberdaya tumbuhan obat atau tanaman herbal yang dapat dimanfaatkan dengan baik sebagai media pengobatan tradisonal. Obat tradisional merupakan warisan lama turun temurun dari zaman dahulu, baik itu dalam bentuk ramuan maupun jamu. Tanaman obat merupakan spesies tanaman yang dipercaya sebagai obat alami tanpa kandungan kimia. Akan tetapi masih minimnya pengetahuan masyarakat mengenai jenis – jenis tanaman herbal. Oleh karena itu penelitian ini bertujuan untuk Klasifikasi Jenis Daun Herbal menggunakan Random Forest berdasarkan fitur HOG. Citra yang telah dipisah antara data latih dan data uji di ubah menjadi greyscale dan di resize menjadi 816x612 piksel, kemudian citra di ekstraksi menggunakan fitur HOG sehingga menghasilkan vektor sepanjang 1x3168. Algoritma Random Forest yang digunakan untuk klasifikasi daun herbal memiliki akurasi keseluruhan sebesar 85,33%.
Kata kunci: Daun, Herbal, HOG, Random Forest

Abstract
Indonesia has great potential in providing medicinal plant resources or herbal plants that can be used properly as a traditional medicine. Traditional medicine is an old heritage handed down from ancient times. Medicinal plants are plant species that are believed to be natural medicines without chemical ingredients. However, there is still a lack of public knowledge about the types of herbal plants. Therefore, this study aims to Classify Herbal Leaf Types using Random Forest based on the HOG feature. The image that has been separated between the training data and testing data is converted to greyscale and resized to 816x612 pixels, then the image is extracted using the HOG feature and produce 1x3168 vector. The Random Forest algorithm used for herbal leaf classification has an overall accuracy of 85.33%.
Keywords : Herb, HOG, Leaf, Random Forest
ANALISIS DAN PERANCANGAN USER INTERFACE WEBSITE DALAM MENINGKATKAN USER EXPERIENCE MENGGUNAKAN METODE USER CENTERED DESIGN DAN THINK ALOUD (Studi Kasus: Website Akudicari Disdukcapil Badung)
Authors: Hardinata I Gede Arya , Piarsa I Nyoman , Rusjayanthi Ni Kadek Dwi 
Published: September 2023

Disdukcapil Kabupaten Badung sudah melakukan pelayanan menggunakan sistem informasi berbasis website yang dapat di akses dimanapun dan kapan saja oleh masyarakat Kabupaten Badung pada website AkuDicari Disdukcapil Kabupaten Badung, dari perubahan dan kemajuan pelayanan yang di lakukan oleh Disdukcapil Kabupaten Badung ini masih memiliki kendala seperti desain interface yang masih kurang yang membuat banyaknya pertanyaan dari masyarakat untuk bagaimana cara mengaksesnya. Dari masalah tersebut penulis menganalisa website AkuDicari milik Disdukcapil Kabupaten Badung berdasarkan evaluasi usability yang menggunakan metode User Centered Design dan Think Aloud demi mempermudah nantinya untuk memberikan saran perbaikan pada pengembangan sistem website nantinya. Metode evaluasi yang digunakan adalah metode usability testing untuk mengevaluasi pengguna website berdasarkan hasil pengamatan kepada pengguna, perbaikan di lakukan berdasarkan masalah yang ditemui saat usability testing. Hasil dari penelitian ini adalah desain solusi dari metode User Centered Design dan Think aloud menggunakan aplikasi Figma.
Systematic Literature Review Implementasi Interpersonal Skill Remaja Dalam Penggunaan Media Sosial
Authors: Rokhim Muhammad Noor , Ramadhan Nur Ihsan Fajar , Fitroh Fitroh 
Published: September 2023

Abstrak
Teknologi sekarang berkembang cukup besar dan cepat dengan adanya Internet, membuat remaja secara tidak sadar menjadi kelompok digital native karena manusia sekarang sangat ketergantungan dengan teknologi bahkan tanpa diajari cara penggunaan teknologi tersebut. Remaja bisa menjadi sasaran utama dalam perubahan interaksi digital karena dianggap paling peka dan diharapkan bisa membawa perubahan dalam mengatasi problematika masyarakat digital. Interaksi secara berlebihan di media sosial dengan pola tidur yang kurang tepat biasanya dapat menyebabkan kesehatan terganggu. Namun, bagaimana implementasi interpersonal skill remaja dalam menggunakan media sosial bisa semaksimal mungkin berjalan dengan baik atau tidak kita belum mengetahuinya dengan pasti. Penelitian ini bertujuan untuk mengetahui gambaran implementasi interpersonal skill remaja dalam penggunaan media sosial serta pengaruh apa yang didapatkannya. Metode yang digunakan dengan Systematic literature review (SLR). Hasil menunjukkan interpersonal skill harus menjadi keterampilan digunakan untuk melawan efek negatif atau hambatan penggunaan media sosial. Pengaruh media sosial terhadap interpersonal skill bagi remaja menunjukkan bahwa pelajar di usia remaja sangat menikmati media sosial untuk ajang bertemu teman baru secara online daripada bertemu langsung sehingga dampaknya mereka menghabiskan banyak waktu sebagai sarana berinteraksi dan komunikasi.
Penerapan Core App Quality pada Aplikasi Manajemen Laundry Berbasis Android
Authors: Radityawan I Wayan Ananta , Wiranatha A. A. Kt. Agung Cahyawan , Pratama I Putu Agus Eka 
Published: September 2023

Standar dalam bidang teknologi memberikan kepastian mengenai keselamatan dan keandalan. Layanan laundry mayoritas masih dilakukan secara manual dengan menulis langsung pada nota, dan keberadaan sistem aplikasi akan mempermudah pekerjaan terutama dengan adanya perangkat mobile yang dapat digunakan dimana saja. Aplikasi laundry membutuhkan sebuah standar sesuai ekspetasi umum pengguna dan dapat diunduh pada Google Play Store yakni Core App Quality. Core App Quality adalah pengujian yang dibuat oleh Google untuk memastikan aplikasi berfungsi dengan baik pada banyak perangkat, memenuhi standar Android untuk navigasi dan desain, serta mempermudah distribusi ke Google Play Store. Pengujian membuktikan bahwa aplikasi laundry yang dibuat memenuhi berbagai kriteria umum seperti navigasi, keamanan, mode gelap, beberapa pengujian dilewati, seperti pengujian audio, karena aplikasi tidak memerlukan fitur audio, dan pengujian notifikasi, karena aplikasi tidak memiliki fitur notifikasi.
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The Russian Army on the Eve of the Crimean War: Between Myth and Reality
Authors: Ilyichev Anton Vladimirovich 
Published: September 2023

The article is devoted to the problems of the military system of the Russian Empire in the years of the reign of Nicholas I. The subject of the study is the military organization of the Russian Empire in the middle of the XIX century. The object of the study is the Russian army in the Crimean War (1853-1856). The focus is on the organization of the armed forces of the Empire, the training of enlisted and officers, logistics and pensions, as well as military production in the middle of the XIX century. Traditionally, in Russian historiography, the main drawbacks of the military system were called the technical lag of the Russian Empire from the European armies and the serfdom structure of the domestic power During the study of the topic, it was revealed that the issue of armament was not the fundamental reason for the defeat of the empire in the conflict. Soldiers recruited according to the recruitment system could not equivalently resist European armies based on a system of consription or voluntary recruitment. The difficult conditions of service in the army of the Russian Empire in the XIX century, led to the complete depletion of the reserve stock, which was clearly manifested in the years. The Crimean War (1853-1856). In combination with significant shortcomings in the training of private and officer, this led to the absolute hegemony of the Allied army in field battles. Many of these problems were known to the highest military and political leadership of the country, which initiated a number of military reforms to correct them. Nicholas I failed to implement these changes before the outbreak of the Crimean War. Already after the conflict, under the leadership of the Minister of War Milyutin D.A., within the framework of the "Great Reforms of the 1860s", many of these problems were resolved to one degree or another. The study is of a general nature, and this topic requires further detailed study of each of the aspects mentioned in the work.
PENERAPAN USHUL FIQH MULTIKULTURAL DALAM MENJAGA KERUKUNAN UMAT BERAGAMA DI KAMPUNG KERUKUNAN LEBAK CIAMIS
Authors: Rusydi Ibnu , Supriyatin Ukilah , Setiawan Iwan 
Published: September 2023

Salah satu penyebab konflik terbuka antar agama di Indonesia adalah adanya paham keagamaan yang ekslusif dan keras. Untuk mengantisipasi melebarnya paham keagamaan yang ekslusif dan diskriminatif tersebut perlu dirumuskan gagasan baru yang bisa mengantarkan bangsa yang religius ini bisa hidup damai dan toleran. Masyarakat Kampung Lebak Kabupaten Ciamis dipandang sebagai daerah ragam agama hal ini dibuktikan dengan adanya empat (4) rumah ibadah yang saling berdekatan yaitu Masjid Jami Al Muhajidin, Gereja Katolik Santo Yohanes, Kelenteng Hok Tek Bio, dan Litang Khonghucu. Salah satu upaya untuk mengatasi konflik antar agama di Kampung Lebak adalah dengan paradigma ushul fiqh multikultural yang hadir untuk memproduk hukum-hukum fikih yang aspiratif dan akomodatif terhadap pluralitas kepentingan kebangsaan, sehingga seluruh anak bangsa mendapatkan posisi yang setara tanpa membedakan ras, agama, jenis kelamin ataupun keturunan. Penelitian ini bertujuan untuk 1) menganalisa penerapan ushul fiqh multikultural dalam menjaga kerukunan umat beragama di Kampung Kerukunan Lebak Ciamis; 2) mengetahui kendala dalam penerapan ushul fiqh multikultural dalam menjaga kerukunan Umat Beragama di Kampung Kerukunan Lebak Ciamis; 3) mengetahui upaya yang dilakukan dalam menghadapi kendala penerapan ushul fiqh multikultural di Kampung Kerukunan Lebak Ciamis.
Teaching – research nexus in higher education management: An overview
Authors: Sharma Madhukar 
Published: September 2023

This paper aims to critically review the nexus between teaching and research in higher education. This study investigates the issue such as why universities and policy makers are calling for stronger integration of teaching and research in spite of a considerable tensions among researchers, scholars, and all the concerned with regard to teaching-research nexus. The researcher argues that symbiotic relationship between teaching and research should be perceived and treated accordingly by academics, students, and policy makers to fully promote quality education in terms of creating new knowledge and contributing to the local and global community. The research approach adopted in this study includes views, reviews, and critics put forward in different literature. The findings suggest that the nature of teaching-research relationship is not always a clear cut one. The paper concludes that despite varied relationship between teaching and research, a positive nexus between teaching and research is more common and therefore, teachers, academic staffs, and policy makers should pay a critical attention to a symbiotic relationship between teaching and research.