bluuebunny/crossref_metadata_2025_split huggingface dataset:
Osmanlı İdarî Sistemi İçerisinde Ortodoks Rum Patrikhanesi’ne Bağlı Metropolitlerin Görevleri
Authors: YAŞAR KESKİN Filiz 
Published: September 2023

Osmanlı Devleti'nde, Ortodoks Rum Patrikhanesi’nin hiyerarşik düzeni içinde yer alan görevlilerden biri olan metropolitler patrikhanenin yetki alanı içindeki farklı bölgelerde bulunan kiliselerin ve cemaatlerin idaresinden sorumluydular. Dini ayinler, dini eğitim, kilisenin yönetimi, mülklerinin idaresi gibi çeşitli görevleri yerine getirmekteydiler. Bu makalede, İstanbul Rum patrikhanesine bağlı metropolitlerin Osmanlı dönemindeki görevleri incelenmektedir. Tanzimat dönemi öncesindeki yapının incelendiği bu çalışma kapsamında, Başbakanlık Osmanlı arşivindeki çeşitli tasniflere ait belgeler titizlikle incelenmiş ve sebep-sonuç ilişkisi çerçevesinde tarihsel analiz yöntemi kullanılarak elde edilen bulgular, mevcut literatürle birlikte değerlendirilmiş ve bilimsel bir perspektifle sunulmuştur.
Bu incelemeler ışığında, metropolitlerin kurumsal düzeyde ruhani, toplumsal ve yönetsel nitelikte yetkilere sahip oldukları Osmanlı kaynaklarından tespit ve teyit edilmiştir. Patrikhane ve merkezi devlet arasındaki ilişkileri doğrultusunda görevlerini yerine getirirken, her iki otoriteye karşı sorumluluk taşıdıkları gözlenmektedir. Sonuç olarak, Osmanlı idari yapısı içerisinde metropolitler, yanlızca patrikhaneye karşı sorumluluk üstlenmiş olan görevliler değildi aynı zamanda merkezi devlete karşı da sorumlulukları olan yetkililerdi. Hem patrikhaneyle doğrudan ilişkileri hem de Osmanlı devletiyle dolaylı ilişkileri aracılığıyla toplumun dini ve sosyal hayatını düzenlemekte etkiliydiler. Bu ikili ilişki, metropolitlerin çift yönlü sorumluluklarının doğasından kaynaklanmaktadır. Bu ilişki biçimi, metropolitlerin kurumsal niteliklerinin şekillenmesinde etkili olmuş ve Osmanlı toplumunun karma yapısında merkeziyetçi bir düzenin yansımalarını gösteren önemli faktörlerden biridir.
Romalıların Doğu’ya Yönelişinin Başlangıcı ve Illyria Kraliçesi Teuta
Authors: DOĞAN Alican 
Published: September 2023

Antik dönemde Adriyatik Denizi’nin doğusunda, Illyria adıyla bilinen bölgede birbirleriyle çok az kültürel ve etnik bağları olan, birbirlerinden bağımsız kabileler yaşamıştır. Hellen ve Romalı yazarlar Illyria’yı vahşi ve izole bir bölge gibi algıladıklarından, Illyria meseleleri ve onların diğer halklarla olan etkileşimleri hakkında verdikleri bilgiler genelde sınırlıdır. Her ne kadar Illyria tarihine dair detaylar halen belirsizliğini korusa da arkeolojik ve epigrafik kanıtlar sayesinde kökenleri, dilleri, yaşam tarzları ve komşu halklarla olan ilişkileri hakkındaki bilgilerimiz gün geçtikçe artmaktadır. Illyrialılar, tarihsel kaynaklarda korsanlık eylemleri ile ün salmış, hatta antik yazarlar onların geçimlerini bu yoldan sağladıkları konusunda birtakım anekdotlar sunmuşlardır. Korsanların Adriyatik ve Ion Denizi’ndeki yağmacı tavırları, İtalya ve Hellas’tan gelen gemileri soymaları ve tüccarları öldürmeleri bir süre sonra Romalılar ve Illyrialıları karşı karşıya getirmiştir. Bununla ilgili olarak Romalıların Adriyatik Denizi’nin doğu kıyısında elde ettiği kontrolün niteliği ve kapsamı ya da en erken ne zaman başladığı hep bir merak konusu olmuştur.
Roma’nın doğu yönünde yayılışının anlaşılmasında, Kraliçe Teuta önemli bir kişiliktir. Onun hakimiyet döneminin (MÖ yaklaşık 231-227), Romalıların Adriyatik Denizi’nin doğusundaki bölgelere ilk askeri müdahalesinin ve Illyria halklarının Roma nüfuzuna girme sürecinin başlangıcı olduğu ileri sürülebilir. Savaşın sebebi çoğunlukla korsanlık faaliyetlerine bağlansa da esasen kaynaklar, Teuta ve Romalılar arasındaki savaşın patlak vermesine ilişkin çelişkili bilgiler vermektedir. Bu çalışmanın amacı, Kraliçe Teuta ve savaştaki rolüne odaklanarak Romalıların Adriyatik’e müdahale etmelerindeki temel motivasyonları hakkında birtakım çıkarımlarda bulunmaktır.
EFEKTIVITAS MEDIATOR DALAM PENYELESAIAN PERKARA PERCERAIAN DI PENGADILAN AGAMA PONTIANAK KELAS 1-A TAHUN 2018
Authors: Ani Dea Fitri , Hasan Muhammad , Wibowo Arif 
Published: September 2023

Abstrak
Dea Fitri Ani (11624004) Efektivitas Mediator Dalam Penyelesaian Perkara Perceraian di Pengadilan Agama Pontianak Kelas 1-A: Fakultas Syariah Prodi Hukum Keluarga Islam (Ahwal Syakhshiyyah) Institut Agama Islam Negeri (IAIN) Pontianak, 2020. Tujuan penelitian ini adalah untuk mengetahui: 1) Untuk mengetahui tujuan mediasi di Pengadilan Agama Pontianak Kelas 1-A; 2) Untuk mengetahui tahap proses mediasi dalam pelaksanaan mediasi oleh mediator di Pengadilan Agama Pontianak Kelas 1-A; 3) Untuk mengetahui tingkat keberhasilan mediasi di Pengadilan Agama Pontianak Kelas 1-A. Penelitian ini menggunakan metode penelitian yuridis normatif bersifat kualitatif. Sumber data dalam penelitian ini menggunakan data primer berupa hasil wawancara dengan Hakim Mediator di Pengadilan Agama Pontianak Kelas 1-A dan data sekunder yang terdiri dari Peraturan Mahkamah Agung Nomor 1 Tahun 2016, jurnal-jurnal, dan buku-buku yang berhubungan dengan objek penelitian. Teknik yang digunakan untuk mengumpulkan data adalah teknik wawancara dan dokumentasi.
Sedangkan dalam menganalisis data, peneliti melakukan reduksi data, penyajian data, penarikan kesimpulan. Kemudian memeriksa keabsahan data dengan melakukan pengamatan yang terus-menerus. Berdasarkan analisis yang dilakukan, maka peneliti menyimpulkan bahwa pelaksanaan mediasi oleh Hakim mediator di Pengadilan Agama Pontianak Kelas 1-A telah sesuai dengan PERMA Nomor 1 Tahun 2016. Dampak mediasi yang dilakukan terhadap kasus perceraian di Pengadilan Agama Pontianak Kelas 1-A belum maksimal dilihat dari segi hasilnya, hal tersebut diperkuat dengan adanya data yang diperoleh yang menunjukan bahwa dari 306 perkara yang di mediasi, hanya 11 perkara mediasi yang berhasil seluruhnya.
Kata Kunci: Mediasi, Mediator, Perceraian, Perma Nomor 1 Tahun 2016
Analisis Perilaku Konsumen, Produsen dan Pasar Islam pada Masyarakat
Authors: Setyaningsih Laela Agus 
Published: September 2023

Artikel ini meneliti tentang kepuasan dari pemenuhan kebutuhan pokok setiap rumah tangga, meskipun dengan latar belakang penghasilan yang berbeda dan juga bentuk dari kebutuhan pokok yang berbeda. Metode penelitian yang digunakan adalah wawancara dan juga kuesioner online mengingat adanya Pandemi Covid 19 yang sedang melanda Indonesia. Setelah dilakukan penelitian dengan perantara koesioner untuk para responden, maka Hasil dari kuesioner menunjukkan rata- rata masyarakat telah puas dan telah setuju akan penghasilan yang dapat mencukupi kebutuhan pokoknya misalnya makan 3 sehari dengan lauk yang cukup. Hal itu menunjukkan bahwa dalam teori islam tidak boleh berlebih- lebihan dalam makan karna Allah tidak menyukai yang berlebihan. Menurut Abdul Mannan sikap tidak berlebih-lebihan dan mengutamakan kepentingan orang lain adalah yang paling penting yang diartikan secara luas. Penelitian mengambil 5 responden dengan latar belakang dan penghasilan yang berbeda, dari data tersebut beberapa masyarakat yang bekerja dengan penghasilan yang cukup dia setuju bahwa penghasilan responden akan mencukupi sampai yang akan datang tanpa ada tambahan penghasilan yang lain, sedangkan responden yang berpenghasilan kurang , berpendapat netral bahkan kurang setuju akan mencukupi kebutuhan yang akan datang tanpa ada tambahan yang lain.
Research on the organization of public space relations in commercial complex buildings in the context of big data
Authors: Zheng Tingting , Zheng Pei , Li Hao , Zhu Xu 
Published: September 2023

Abstract
As an emerging type of large commercial building, commercial complexes play an increasingly important role in contemporary urban development and construction trends. In order to better study the organization of public space relations in commercial complex buildings, this paper selects eight commercial complexes as sample cases to analyze their spatial design in terms of both content public space and external public space based on big data technology. Regarding the design of the commercial complexes’ internal public space movement, the highest accessibility degree reached 95.3%, while the average was 82.5%. Regarding visibility, the highest level was 96.0%, and the average was 83.3%. For large complexes, better spatial relationships can be designed to improve the circulation degree and thus enhance customers’ consumption experience. Regarding the convenience of traffic connection to the external space of commercial complexes, an average of 41.4% of customers consider it very convenient, 23.1% consider it relatively convenient, 27.9% consider it somewhat inconvenient, and 18.0% consider it very inconvenient. Commercial complexes can effectively attract more repeat customers if they can improve the convenient design of transportation connections. The study of public relations of commercial complexes based on big data helps to discover the defects of their public space design and plays a significant role in optimizing spatial design and relationship organization and strengthening their integrated functions.
Application of image processing technology based on hierarchical analysis in visual communication system
Authors: Cheng Yi 
Published: September 2023

Abstract
To address the problem of poor visual expression due to traditional methods’ poor image enhancement effect, this paper proposes an image processing model for visual communication of the human-computer interaction interface based on hierarchical analysis. The edge contour feature extraction method is used to extract the convenient information features of the HCI interface, and the cross-sectional information fusion technique is combined to realize the visual communication information enhancement processing of the HCI interface, extract the spatial multi-resolution feature amount of the visual communication image of the HCI interface, and realize the visual communication optimization design of the HCI interface. In the image processing model proposed in this paper, the traditional PCANet and computer vision methods are compared to test the effectiveness of the three image recognition methods. The recognition accuracy of the method proposed in this paper is 82.55%, 85.28%, 87.06%, and 85.87% for the four types of images, respectively; the recognition accuracy of PCANet is 75.53%, 76.48%, 81.26%, and 74.74%, respectively; and the recognition accuracy of computer vision method is 73.79%, 72.83%, 79.36%, and 73.71%. Comparing the data, it can be seen that the model in this paper can improve the fidelity of visual communication and the discriminative ability of interface output, which can greatly improve the performance of the graphical human-computer interaction interface.
The Innovation and Application of Computer Multimedia-assisted Teaching Methods in College English Teaching
Authors: Zheng Shaohui , Lei Hongyuan 
Published: September 2023

Abstract
The multimedia-assisted teaching model has entered the practice of English teaching (ET) in colleges and universities and has greatly influenced English teaching. In this paper, we conduct an empirical study on multimedia-assisted English teaching. Firstly, we propose a neural machine translation model based on multi-granularity features combined with dynamic word vectors to improve the problem of inaccurate English translation. Secondly, we propose a grammatical error correction model based on a generative adversarial network to correct grammatical errors in teaching English. The experimental results show that the improved model obtains 35.58 and 45.71 BLEU values in the experiments by comparing the neural machine translation models, and the translation accuracy is improved by 23.9% compared with the traditional model. In the experiments through multimedia-assisted teaching, the multimedia-assisted teaching model improved student performance by 9.8%, while the traditional teaching model improved by only 1.9%. The multimedia-assisted teaching model proposed in this paper has a positive effect on students’ performance, intercultural communication (IC) awareness, learning initiative, and interactivity, and also provides a valuable reference for multimedia-assisted language teaching.
System Construction of Intercity Culture and Xinjiang Music Integration in the Context of “One Belt, One Road” Based on SCP Model
Authors: Sun Hui 
Published: September 2023

Abstract
Music content needs to draw nutrients from excellent regional culture, and excellent regional culture needs to be carried forward through music, so the integration of intercity culture and Xinjiang music is in line with the development and inheritance of music culture. This paper briefly introduces the analysis model of the SCP paradigm and the music recommendation algorithm improved by K-Means and Canopy clustering algorithms and analyzes the integration of intercity culture and Xinjiang music in the context of “One Belt One Road” based on the SCP model and the improved algorithm. The analysis shows that music lessons incorporating intercultural culture account for about 25% of the lesson time in Xinjiang’s primary and secondary school music curriculum, and in 2013, the content of Xinjiang’s local music culture at the junior high school level accounts for more than 35% of the total lesson time in the music curriculum. Intercultural culture and Xinjiang music are gradually merging, and music education will play a large role in further educational reform in terms of cultural transmission and integration.
Design of a linear regression model-based Internet exit anomaly detection method
Authors: Yan Mi 
Published: September 2023

Abstract
Anomaly detection for Internet egress is to enhance the user experience of browsing the Internet. Firstly, the five functional modules of the system are described, and the pre-processing data module is used to extract the Internet topology data for Internet anomaly detection. The linear regression algorithm is also introduced in detail, including the definition of linear regression and its parameter estimation method and the optimization of linear regression parameters by variance and squared error. Finally, the performance evaluation of the anomaly detection system proposed in this paper is carried out to verify the system’s feasibility. From the performance evaluation, the detection rate of the system in this paper is 2.93 and 5.33 percentage points higher than that of SVM and SNN detection methods, respectively, and the false alarm rate is 2.85%. Regarding the impact of different packet lengths, the system in this paper is relatively stable when the packet length is 600, with an accuracy rate of 99.94% and a false alarm rate of only 1.93%. The above data show that the Internet egress anomaly detection system proposed in this paper can effectively detect the anomalies existing in the Internet egress and accurately grasp the data can timely deal with the abnormal nodes, thus improving the user browsing experience.
Analysis of media content recommendation in the new media era considering scene clustering algorithm
Authors: Yu Xueyong , Wu Wei 
Published: September 2023

Abstract
With the advent of the new media era, we face the problem of information overload every day, based on which this paper proposes a scenario-conscious clustering algorithm for recommending media content. The improved K-means algorithm is used to cluster the media content, an initial cluster center is randomly selected, and the remaining initial cluster centers are obtained by executing the improved algorithm to reduce the number of iterations and avoid neighboring situations. The clustering algorithm is then compared with content-based recommendation techniques, KNN recommendation algorithm, and collaborative filtering recommendation algorithm in terms of accuracy, recall, MAE value, and execution time. The clustering algorithm is significantly better than the other algorithms regarding accuracy and recall. The accuracy of the clustering algorithm is 0.4 when the recommendation sequence is 30, which is 0.4 higher than the collaborative filtering technique, 0.1 higher than the KNN, and 0.12 higher than the content recommendation method. In terms of MAE value, the clustering algorithm outperforms the other algorithms when the number of nearest neighbors is selected to be above 20. In terms of execution time, the longer the amount of data, the more obvious the advantage of the clustering algorithm. Therefore, the applicability and reliability of the model proposed in this paper for media content recommendation are verified in terms of accuracy, recall and execution time, which meet the design requirements.
Speed optimization of inland sea vessels based on C.W saving algorithm
Authors: Liu Tianyu 
Published: September 2023

Abstract
This paper constructs a mathematical model of the C-W saving algorithm based on the characteristics of the C-W saving algorithm and the collection and data analysis of energy efficiency data of ships without time window constraints. On this basis, the mathematical model with the time window constraint is further constructed by adding the time window constraint and fully considering some factors in the transportation of inland vessels that cannot be ignored, such as fuel price, carbon tax price and sailing speed. Finally, the impact of fuel, charter, and carbon tax prices on the optimization scheme is analyzed by the sensitivity analysis method. With the lowest total sailing cost as the target, the total sailing cost of the whole voyage is reduced by $4,749, which is 3.75% less than last year. Optimization with the lowest carbon emission as the goal, the whole voyage CO2 emissions reduced by 4.22t, a year-on-year reduction of 10.76%. Considering the total voyage cost and carbon emission for multi-objective optimization, the total voyage cost is reduced by 1210, which is 0.91% less than the same period last year. Therefore, the speed optimization method for inland sea vessels based on the C-W saving algorithm can provide a basis for shipowners and speed companies in making sailing plans.
Mechanisms influencing the learning effect of ISM network under big data regression algorithm
Authors: Zhang Guixian , Fan Mingfeng 
Published: September 2023

Abstract
Exploring the impact mechanism of online learning effectiveness can effectively optimize and improve the impact to enhance online learning effectiveness. This paper describes a big data Gaussian process regression model under big data technology, and global a priori sparse approximation and local approximation solve the predicted distribution results. The training conditional probabilities and test conditional probabilities of the hidden variables are optimized using the induced point method and the spectral approximation method. Then, a simple analysis of the network learning behavior applied by the ISM model is introduced using the big data Gaussian process regression model, and the key, direct and fundamental factors that may affect the network learning are mined. Finally, relative data analysis was conducted based on the relevant influencing factors mined by the ISM model. From the number of course visits, 34.54% of the learners’ visits to the course are mainly concentrated between 100-199 times. Regarding the length of discussions, the per capita participation in online discussions was 37.32 minutes, and most learners mainly focused on 0-50 minutes. It indicates that using big data Gaussian regression model can analyze the influencing factors of online learning through ISM model, and the targeted improvement and optimization can enhance the effectiveness of online learning.
Histological and mechanical properties of laser-melted carbon nanotube-toughened Fe-based amorphous coatings
Authors: Zhu Ximing 
Published: September 2023

Abstract
Laser melting technology is a new surface fabrication technique, and using laser beams to improve the mechanical properties of iron-based amorphous prepared by laser melting has become a hot topic in current materials research. Firstly, nickel-plated carbon nanotubes were used to improve the toughness of iron-based amorphous coatings, and nickel-plated carbon nanotubes were used to prepare iron-based amorphous composite fusion cladding layers. Then, the iron-based amorphous has good strength, strong wear resistance and corrosion resistance and is a good surface modification material. Finally, considering that the preparation of iron-based amorphous coating by laser melting technology can meet the preparation requirements of fast cooling of iron-based amorphous, the organization and mechanical properties of the iron-based amorphous coating are studied and analyzed by using laser melting technology. The results show that the toughness of the amorphous-1.00 wt% nickel-plated carbon nanotube composite clad layer is 7.67 MPa-m which is 33.4% higher than the amorphous clad layer. The composite clad layer with the addition of carbon nanotubes showed a significant increase in toughness without a significant decrease in hardness, and the prepared nickel-plated carbon nanotube/amorphous composite clad layer had better overall mechanical properties. This study improves the mechanical properties of iron-based amorphous coatings, which is important to improve the problems of decreasing service life and stability of equipment and components caused by corrosion and wear.
The Construction of the integration of ldeological and Political Curriculum for Graduate Students in Foreign Language Studies in the Context of New Liberal Arts and Big Data
Authors: Zhang Hongjie , Zhang Yunjie 
Published: September 2023

Abstract
Exploring the construction, of course, Civics of graduate students in foreign languages is to promote better the implementation of course, Civics in foreign languages. In this paper, in the context of the new liberal arts of big data, firstly, the method related to the sparrow search algorithm is described, and the parameters related to the sparrow search algorithm are optimized by using the good point set initialization and firefly update strategy. Then the basic principle of the extreme learning machine is given, and it is shown that the ELM model’s output weights are obtained using the inverse matrix solution. The ISSA-ELM algorithm model is elicited using the improved sparrow search algorithm with the extreme learning machine, and the ARE and RMSE performance validation is performed for this model using the UCI dataset. Finally, the ISSA-ELM algorithm was used to analyze and mine the indexes of the construction of the example of the postgraduate course Civics in foreign languages, including both teaching implementation and teaching content, using GZ University as an example. From the teaching implementation, the percentages of A, B, C and D evaluations are 16.12%, 18.44%, 18.12% and 47.32%, respectively. Regarding teaching content, the percentages of A, B, C, and D evaluations were 49.65%, 22.95%, 16.5%, and 10.89%, respectively. This indicates that the construction of the course Civics for graduate students in foreign language disciplines in the context of the new liberal arts is not optimistic, and effective reforms in teaching implementation and content are needed afterward.