bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on the construction of a visualization platform for customer demand analysis based on big data technology
Authors: Yan Shengping , Su Hongbang , Ma Guisheng , Qi Xiaoxuan , Li Yuling , Cheng Liang 
Published: December 2023

Abstract
In this paper, from the MC optimization oriented to customer demand, we use big data technology to optimize the model, and with the help of the fuzzy cluster analysis method, we convert the variable types of customer demand indexes into different clustering effects. Fuzzy cluster analysis is used to establish the mapping relationship between customer demand, functional requirements of the product, and design parameters. Use the idea of customer demand analysis and transformation and the module division method to build the framework system of product configuration design and complete the construction of a customer demand-oriented product configuration visualization platform. By dividing different customer requirements, the best classification of customer requirements is obtained, and the technical optimization design of washing machine products is taken as an example to analyze the practicability of the platform constructed in this paper. Among the 12 technical characteristics of the washing machine, the importance of EG
11 is 0.1395, the importance of EG
1 is 0.1116, and the importance of EG
5 is 0.1017, which indicates that customers are most concerned about the energy-saving function of the product, and thus the enterprise should design the product based on the customer needs to satisfy the customer’s demands.
Characterization of Immediate Pressing Tactics in Soccer in the Age of Artificial Intelligence
Authors: Liu Yun 
Published: December 2023

Abstract
This paper focuses on the use of feature extraction techniques as well as parameter estimation to analyze the immediate pressing tactics in soccer games. The motion target detection method is used to capture the movements of the soccer player. By setting the rotation angle of the point cloud, the soccer movement action is represented in the form of a coordinate system. By combining the inter-frame difference method and setting the motion image threshold, the motion target can be obtained. Utilize Hu moments to extract the features of soccer motion. Combine the center of mass and velocity of soccer motion to reduce the error rate of motion feature extraction. Pairwise quaternions are utilized to represent soccer motion parameters to improve motion estimation. The results show that the soccer team has the greatest success rate of practicing immediate pressing tactics in 3s-4s, and the success rate of applying immediate pressing tactics after 4s is significantly lower. Team C has the highest success rate of huddling with defensive immediate pressing tactics, which reaches 56.1%. The success rate of huddling is closest to that of team A and team B, which are 43.54% and 43.97%, respectively.
Financial Risk Prediction Model in the Context of Big Data - Corporate Financial Risk Control Based on LSTM Deep Neural Networks
Authors: Du Qiang 
Published: December 2023

Abstract
This paper is based on the use of recurrent neural networks and LSTM deep neural networks to obtain the financial risk prediction feature sequence in the context of big data. The financial risk prediction feature sequence is used as the input value of the input gate of the LSTM deep neural network model after data filtering, normalization and loss function optimization, and then the financial risk prediction for the output gate of the LSTM deep neural network model. Considering the availability of data, small and medium-sized enterprises listed in A-share companies in the Wind database are selected as sample enterprises, and evaluation indexes are constructed and detected at the same time so as to complete the experimental design of enterprise financial risk prediction in the context of big data. The prediction of enterprise financial risk is empirically analyzed using simulation analysis and statistical analysis. The results show that in the model performance analysis, the average value of ten years of data, the highest value is still the result obtained by LSTM training, 0.761, compared with other models of LSTM deep neural network in static financial risk prediction in the overall best performance. In the case study of Yibai Pharmaceutical, the minimum value of the rate of return, return on total assets, and return on assets were -10.02%, 2.56%, -20.72%, which reflects the fact that the private enterprises still have large profitability space to be mined. This study helps investors or financial institutions such as funds to find out the possible financial risk crisis of listed companies as early as possible to avoid the parties from incurring large financial losses.
Research on online monitoring and anti-dance technology of transmission line dance based on wide-area information transmission
Authors: An Shuhuai , Wei Zhen , Tang Lei , Li Yijia 
Published: December 2023

Abstract
This paper diagnoses the transmission line dancing situation based on the wide-area traveling wave information transmission and dancing mechanism. The characteristics of the wide-area initial traveling wave propagation are analyzed, and the traveling wave information of transmission line dancing is analyzed using wavelet transform. Measure the voltage traveling wave energy distribution for online monitoring and diagnosis of transmission lines. To study the dancing amplitude of transmission lines, a finite element analysis model is created. The detuned pendulum anti-dancing device is designed, the detuned pendulum dynamics equation is constructed, and the critical wind speed leading to transmission line dancing is investigated by the theoretical equation method and the stability theory method. Through the empirical analysis method, the transmission line dance monitoring and the anti-dance effect are analyzed. The experiments show that when the transmission line dances at a slower speed, the online monitoring method based on wide-area information monitors the motion of the target spacer bar between two neighboring frames between [1,3], and the processing speed is 138.2 frames per second faster than the other techniques, which is successful in tracking the dancing target of the transmission line. In the anti-dance test, before the anti-dancer was added, the transmission line amplitude reached 12,12m/s from the beginning at a wind speed of 18m/s and 14m/s to provoke dance. After the installation of the anti-dancer, the amplitude is maintained between [0,1] in most cases, and the anti-dancer has a good anti-dance effect.
Research on the application of CNN algorithm based on chaotic recursive diagonal model in medical image processing
Authors: Cheng Defang , Wang Zhenxia , Li Jianxia 
Published: December 2023

Abstract
In this paper, the image processing capability of the CNN algorithm under the chaotic recursive diagonal model is explored from two aspects of medical image fusion and compression. By analyzing the structure of the chaotic recursive diagonal model, it is possible to combine it with a neural network. A convolutional neural network is used to automatically extract the focusing features of an image and output the probability of a pixel focusing. Combining the convolutional layer to extract image features with the activation function to nonlinearly map the feature map to achieve the effect of image fusion. Focusing on the exploration of the CNN algorithm for image fusion in image compression application processes. The results show that in the image fusion experiments, the CNN algorithm for image fusion data MI mean value is 6.1051, variance is 0.4418. QY mean value is 0.9859. The variance value is 0.0014. Compared to other algorithms, CNN in the image fusion effect has the effect of better distinguishing the edge details and making the appropriate decision. The CNN algorithm of the compression time is shorter. The time used in the compression of the X-chest image is 2.75s, which is 0.42 less than other algorithms. This study provides a new research perspective for medical image processing and is beneficial to improving the efficiency of medical image processing.
Exploration of Digital Communication Mechanism of Film and Television Media Industry in the Background of Artificial Intelligence
Authors: Jun Pan 
Published: December 2023

Abstract
This paper analyzes the fission information dissemination mode from the digital information media mode of the film and television media industry. Using the correlation algorithm to analyze the influence of TV drama ratings and broadcasting accounted for and selecting cluster analysis to explore the relationship between TV drama broadcasting and TV type and rating. Take the ratings as the dependent variable, set the independent variables, establish the multivariate statistical model, and use SPSS software to calculate factor analysis of TV drama ratings. By combining user opinions, optimize the heterogeneous graph neural network film and television communication model based on attribute information. Test the MAE value and effect of the propagation algorithm proposed in this paper using the real Movies Lens dataset. When N=5, the recall, precision and F
1 of this paper’s algorithm are 0.295, 0.751, and 0.425, respectively. The difference of the three metrics with the resource diffusion algorithm based on the three-step graph is 0.25, 0.634, and 0.36. When N=50, the difference of the three metrics between this paper’s algorithm and the social diffusion algorithm based on labels is 0.197, 0.071, and 0.101.
High Inflammation and Coronary Calcification in an Acute Coronary Syndrome Successfully Treated with Cutting Balloon
Authors: Blîndu Emanuel , Mátyás Botond-Barna , Bajka Balázs , Buicu Corneliu-Florin , Chițu Monica , Benedek Imre 
Published: December 2023

Abstract
Complex coronary atherosclerosis may exhibit different phenotypes of coronary plaques, from non-calcified highly vulnerable atheroma to heavily calcified ones. Computed coronary tomography angiography (CCTA) may identify these different phenotypes and the recently introduced CCTA-based techniques for mapping coronary inflammation along the coronary arteries may provide useful additional information on cardiovascular risk. Here we present the case of a 68-year-old male patient with acute coronary syndrome in whom invasive coronary angiography and CCTA revealed a severe three-vessel disease with a heavily calcified lesion. Mapping of the CT fat attenuation index along the coronary arteries identified a high level of coronary inflammation, especially associated with the non-calcified lesions. All lesions were successfully revascularized by implantation of drug-eluting stents. A cutting balloon was used for the lesion identified by CCTA as heavily calcified, followed by stent implantation, with good results. In conclusion, CCTA, in association with novel techniques for mapping coronary inflammation, may represent an extremely useful tool for preparing complex interventions in multivessel diseases, helping preprocedural planning in high-risk patients.
The Role of Linguistic and Cultural Mediation in Learning the Host Country’s Language
Authors: Pundziuvienė Daiva , Meškauskienė Almantė , Ringailienė Teresė , Matulionienė Jūratė 
Published: December 2023

Abstract
The need to reconsider the value of mediation in language teaching/learning has been highlighted due to such processes as globalization and migration in the contemporary world. The importance of a language learner's entire plurilingual repertoire has been emphasized in The Common European Framework of Reference (CEFR) Companion Volume (2020) and students’ linguistic and cultural backgrounds have been recognized as useful teaching resources to enhance language learning (Piccardo & North, 2017). The application of translanguaging has become an innovative method applied in language teaching and is now seen as a tool for increasing learners’ commitment and self-belief (Duarte, 2020). A survey was conducted to explore the role of mediation in learning a host country's language in the UK and Lithuania. The study aimed to investigate the use of non-linguistic competences to reduce linguistic and cultural barriers, encourage collaboration among language learners, and improve their competence in translanguaging. The survey included 23 English for speakers of other languages (ESOL) students (levels A2 and B1) and 15 Lithuanian as a second language students (levels A1 and A2). A quantitative and qualitative research methodology was used to analyze their language learning experiences during mediated lessons of the target language. The results of the surveys and short semi-formal interviews showed that learners had developed various non-linguistic competences and demonstrated the ability to use other languages for learning a new language. Although most of the research participants agreed that such a way of learning had helped them to successfully learn the target language and preserve their national identity in a foreign country, a careful guidance provided by a language teacher is necessary in order not to be misguided among the variety of similar or different languages.
STRATEGI PENGEMBANGAN UMKM SUMBER LAUT DALAM MENGHADAPI INDUSTRI HALAL GLOBAL 2024
Authors: Suprapti Isdiana , Agustin Pretty C , Rahman Nabila Z , Yanti Mira F , Probowati Banun D 
Published: December 2023

Dalam rangka memenangkan persaingan, diperlukan strategi penjualan yang tepat bagi UMKM Sumber Laut. Tujuan penelitian ini untuk menganalisis strategi pengembangan usaha yang tepat pada Usaha Kecil Menengah Sumber Laut. Metode yang digunakan Matriks Internal Factor Evaluation (IFE), Matriks External Factor Evaluation (EFE) dan analisis SWOT. Hasil penelitian ini menunjukkan bahwa analisis IFAS-EFAS diperoleh 8 faktor internal dan 8 faktor eksternal. Sedangkan berdasarkan diagram dan analisis SWOT diperoleh strategi SO.
Digitalisasi Penilaian Metode Ummi di MA Miftahul Ulum Berbasis Web Menggunakan Php dan MySql
Authors: Lutfi Ahmad , Amalia Zulfi 
Published: December 2023

Penilaian adalah pengumpulan data yang digunakan untuk mengukur ketercapaian suatu tujuan. Dan mengukur sejauh mana siswa telah mempelajari tujuan. Penilaian ini bersifat kuantitatif dan kualitatif.
Ilmu komputer pada saat ini sudah banyak digunakan diberbagai sektor baik di sektor pendidikan, bisnis dan sosial kemasyarakatan, semua itu tidak terlepas dari manfaat ilmu komputer utamanya dalam hal memudahkan dan membantu pekerjaan manusia, seperti Sistem informasi penilaian siswa.
Metode Ummi adalah salah satu metode membaca Al-Qur'an yang langsung memasukkan dan mempraktekan bacaan tartil sesuai kaidah ilmu tajwid dengan menggunakan pendekatan bahasa ibu yang menekankan kasih sayang dengan metode membaca bersama – sama, baca simak dan system penjamin mutu seperti Tashih, Tahsin, Sertifikasi dan lain-lain.
SISTEM INFORMASI PENDAFTARAN RUSUNAWA DI BIDANG PERUMAHAN DAN PERMUKIMANKA BUPATEN BANYUWANGI MENGGUNAKAN PHP & MYSQL
Authors: Sari Selvi Puspita , Lutfi Ahmad 
Published: December 2023

Rusunawa merupakah salah satu program untuk mengatasi permasalahan keterbatasan lahan dan ketidakmampuan MBR untuk menjangkau fasilitas hunian. Seiring dengan pembangunan rusunawa saat ini, terdapat beberapa permasalahan pasca pembangunan, salah satunya tentang pengelolaannya.
Pengelolaan rusunawa di kota Banyuwangi secara umum sudah tidak sesuai lagi dengan tujuan penyediaan rusunawa, yaitu memberikan hunian yang layak, sehat, dan terjangkau untuk MBR. Ketidaksesuaian tersebut antara lain kondisi bangunan mulai rusak, kualitas lingkungan menurun dan terdapat pelanggaran terhadap sistem sewa maupun pemanfaatan bangunan. Salah satu faktor terjadinya permasalahan ketidaksesuaian tersebut yaitu belum optimalnya pengelola dalam menjalankan peran dan fungsinya. Oleh karena itu, tujuan penelitian ini adalah untuk menganalisis optimalisasi pengelolaan rusunawa di Kota Banyuwangi.
Gamma-irradiated corneas for therapeutic penetrating keratoplasty, anterior lamellar keratoplasty, and sclera for glaucoma valve surgery
Authors: Sharma Ashok , Sharma Rajan , Aggarwal Shruti , Nirankari Verinder S. 
Published: December 2023

Objectives:To report clinical outcomes of gamma-irradiated donor cornea (GIDC) for therapeutic penetrating keratoplasty (TPK), deep anterior lamellar keratoplasty(DALK) and gamma-irradiated donor sclera (GIDS) for glaucoma patch graft (GPG) in glaucoma filtering surgery (GFS) with Ahmed glaucoma valve (AGV).Materials and Methods:A prospective non-randomized, non-comparative, interventional case series of GIDC and GIDS involving 26 patients, of which 20 received GIDC (11 TPK, 9 DALK) and 6 GIDS (6 GPG). Main outcome measures were post-operative tissue characteristics as epithelialization and tissue clarity; and complications including rejection, infection, corneal melt, and other adverse effects.Results:Study included 26 patients, of these 20 received GIDC (11 TPK, 9 DALK) and 6 GIDS (6 GPG). Mean follow up was 8.32 ± 2.31 months. Corneal epithelium healed in 6.2 ± 2.58 days. Graft clarity was achieved in 9 (100%) DALK patients. Only 1 eye (3.8%) had a corneal melt. There were no incidences of rejection or infection in the follow up time.Conclusion:Gamma-irradiated sterilization of donor cornea and sclera is a new innovation to enhance utilization of donor tissue. GIDC is a promising treatment option for TPK and DALK; GIDS for GPG with good epithelialization time and tissue clarity. Gamma irradiation of both donor cornea and sclera achieved adequate sterilization and provided a long shelf life.
Gambaran Kerusakan Mukosa Lambung yang Diinduksi Asetosal (Jumlah Ulkus, Leukosit dan Laju Endap Darah)
Authors: Samiasih Amin , Khoiriyah Khoiriyah , Sulistyaningtyas Ayu Rahmawati 
Published: December 2023

Latar Belakang: Angka kejadian gastritis di Indonesia adalah 40,8% penyebab tersering adalah konsumsi Obat Anti Inflamasi Non Steroid (OAINS) dalam jangka panjang. Faktor pemicu tukak lambung yaitu sel parietal mensekresi asam hidroklorida kondisi ini bisa berlanjut permeabilitas kapiler meningkat dan perdarahan.Metode: Penelitian menggunakan eksperimen pra klinik dengan posttest only design. Sampel 11 tikus galur Wistar betina umur 3-4 bulan, berat badan 100-250 gram. Induksi tukak lambung menggunakan asetosal 5% dosis 1500 mg/kg BB. Pemeriksaan leukosit menggunakan automatic hematology analyzer. Pemeriksaan laju endap darah menggunakan metode Westergren. Pemeriksaan makroskopi dengan menghitung jumlah ulkus dan perdarahan pada mukosa lambung.Hasil: Hasil penelitian menunjukkan kerusakan mukosa lambung dimulai dari hipoksemia, perdarahan dan kemudian terjadi ulkus. Rata-rata kadar leukosit 14.800/cmm dan rata-rata laju endap darah 18.18 mm/jam, rata-rata jumlah perdarahan 2.45. Rata-rata jumlah ulkus 3,55. Kesimpulan: Induksi Asetosal pada tikus wistar menyebabkan gambaran kerusakan lambung.
Impact of Semi-Fowler's Position in Chronic Heart Failure (CHF) Patients: Scoping Review
Authors: Purnamayanti Ni Kadek Diah , Tondok Santalia Bane , Susasnto Wibowo Hanafi Ari , Rohmani Rohmani 
Published: December 2023

Epidemic heart failure patients are a scourge of world health which has an increasing trend as old age increase. Heart failure is a state of heart function not adequately supplying blood for the body's metabolism, known as Congestive Heart Failuren the productive age population, CHF patients have high morbidity, frequent exacerbations, and mortality. Treatment in the hospital requires intensive care. One of the forms of treatment in question is positioning. This study aimed to determine the impact of the semi-fowler's position on CHF patients. The research design is a systematic review using Google Scholar, Pubmed, and Garuda searches. Inclusion criteria were the research of the last five years; all articles were available. Exclusion criteria are non-experimental research, such as literature and observational studies—critical review using the JBI checklist for quasi-experimental. The results of the study were seven experimental research articles in Indonesia, three studies only giving semi-fowler's position, two studies recommending semi-fowler's position is better than right/left, and two other studies recommending semi-fowler's + Fowler's and semi-fowler's' positions. This study concludes that the semi-fowler's position is the correct position in the treatment of CHF patients.
SISTEM OTOMATIS PENGISIAN BAHAN BAKAR GENSET PADA KERETA API
Authors: Sukoco Ricordha Datu , Riyanto Didik , Habiby Jawwad Sulthon 
Published: December 2023

Dalam sebuah rangkaian kereta api terdapat kereta pembangkit listrik. Kinerja dari generator set bergantung akan keterampilan seorang teknisi dan kehandalan sistem pengisian bahan bakar. Sering dijumpai permasalahan kurang optimalnya sensor pada tangki solar, yang berakibat bahan bakar meluap dari tangki. Akibatnya sistem manual pada proses pengisian terpaksa digunakan. Permasalahan tersebut merupakan masalah pada penelitian ini. Tujuan dari penelitian ini adalah merancang sistem otomatis pengisian tangki bahan bakar pada kereta pembangkit menggunakan Mikrokontroler dan menampilkan informasi kondisi bahan bakar pada monitor serta dapat dilihat pada smartphone. Metode sistem ini bekerja otomatis untuk mengukur kapasitas tangki bahan bakar kemudian mengalirkan bahan bakar dari tangki utama ke tangki genset. Alat ini dikendalikan oleh sebuah IC Atmega 328 yang berpadu dengan ESP 8266 untuk komunikasi. Pada penggunaan alat ini, bahan bakar dalam tangki, jumlah bahan bakar yang mengalir dan suhu pompa listrik secara langsung akan ditampilkan pada LCD dan layar smartphone melalui telegram bot. Manfaat dari sistem ini adalah dapat membantu seorang teknisi kereta untuk lebih effisien dalam bekerja karena tidak perlu bolak balik memastikan kebutuhan bahan bakar genset terpenuhi. Hasil dari penelitian ini adalah sistem mampu melakukan pengukuran kapasitas tangki bahan bakar dan secara Autorefil memenuhi kebutuhan bahan bakar dengan presentasi error sebanyak 0,83 %.