bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of Smart Grid System Based on IBA Architecture
Authors: Li Qing , Yu Peng , Huang Anzi , Qiu Haifeng , Yan Mengqiu
Published: February 2024

To process the difficulty of equipment operation and maintenance supervision caused by the large number and wide distribution of smart grid power equipment, an innovative architecture integrated IBA is proposed, which combines big data and AI technology in different dimensions of the architecture to achieve hierarchical intelligence as needed. We provided the design process and key modules of the power grid system based on the IBA architecture: firstly, we introduce human-machine data under the architecture and propose the concept of hierarchical cognition. Then, real-time data collection is performed through the Internet of Things, and further mining and analysis of the data is achieved using cloud platforms. By Spark clustering based on k-means to partition state data, we establish corresponding Bayesian causal network models, and achieve data-driven modeling of smart grid equipment monitoring and operation. Finally, an application case of artificial intelligence is used to demonstrate the feasibility and effectiveness of the system. The experimental results demonstrate that the IBA fusion technology architecture has expanded the application scope of the IoTs in smart grids, and improved the intelligent level of smart grid construction and management.
Parameter Extraction of Time-Frequency Images of Partial Discharge Pulse Waveforms: Moment Feature
Authors: Hu Hao-lu , Yang Jing , Yin Zhan , Cui Hao , Tian Yue , Si Wen-rong
Published: February 2024

Based on practical application, a method for extracting moment feature parameters for time-frequency images of partial discharge pulse waveforms is proposed in this paper. Aiming at the ultra-wideband detection to obtain the mixed pulse waveform-time series formed by PD source and noise source, namely the pulse group, firstly, the single pulse waveform in the pulse group is denoised by wavelet, and the amplitude is normalized to form a time domain waveform. Secondly, the time-frequency waveform is transformed to form a time-frequency image, and then the first-order and second-order moments of time-frequency energy distribution of time-frequency energy distribution are calculated. The sum of the normalized amplitude under the absolute value of the first moment of time and the second moment of time was conducted, and the sum of the normalized amplitude under the absolute value of the first moment of frequency and the second moment of frequency is also obtained. Them the equivalent time moment and the equivalent frequency moment are obtained, respectively. Finally, the feature parameters of all pulse waveforms in the pulse group are extracted, that is, the corresponding equivalent time moment and equivalent frequency moment are obtained, and the plane distribution of equivalent time-frequency moment feature parameters is obtained. The experimental results show that based on the plane distribution of the feature parameters of equivalent time-frequency moments, a rapid pulse group classification technique can be constructed for ultra-wideband PD detection, that is, the proposed method can be used to cluster “self-similarity” sub-pulse groups to achieve the separation of multiple PD sources and noise sources.
Intelligent Teaching Interaction System Design Based on Multi Agent
Authors: Rao Jingting
Published: February 2024

In traditional teaching, teachers and students conduct real-time teaching face-to-face, while the efficiency of teacher-student interaction is low. To address this issue, this article proposes an intelligent teaching interaction system based on MAS. We have conducted a demand and feasibility analysis of teaching interaction applications based on artificial intelligence, and established the basic architecture of the teaching interaction system. Then, the key interactive modules are implemented with the Multi Agent concept, and a communication model based on SOAP is implemented using Web Service technology. To meet the needs of the system, a grouping strategy based on learners’ learning objectives is also proposed to allocate personalized tasks to individuals with different knowledge sets. Finally, the composition, module division, and implementation method of a web-based and MAS based online teaching system are provided and tested. The testing results show that our scheme improves the openness and knowledge scalability of the system, achieves communication between multiple agents in the system, and provides learners with a more convenient and efficient interactive learning environment.
Testing and Application of Expressway Roadside Perception Method Based on Camera-Radar Fusion
Authors: You Xin , Gao Wenbao , Lu Jinghui , Xue Jinyin , Duan Xuting , Tian Daxin
Published: February 2024

In order to test the performance and application effect of roadside perception method based on camera-radar fusion in the multi-source heterogeneous data environment of expressways, a camera-radar fusion perception algorithm is implemented and deployed in the Yanqing-Chongli intelligent expressway of China. Firstly, a fusion perception and positioning algorithm based on mmWave radar and camera was developed and deployed in the test nodes on the roadside facilities of the expressway. Secondly, the positioning accuracy of the algorithm was tested and analysed. Then the structured data results of the fusion perception algorithm are further analysed and processed to realize the management of target information library. Finally, some practical scenario applications have been proposed based on previous fusion perception results. The results show that the proposed algorithm can achieve lane level positioning and the deployed applications have achieved good results.
Handwritten English Character Recognition Method Based on Deep Learning
Authors: Du Panpan , Li Yan
Published: February 2024

In order to solve the problem of low accuracy of computer intelligent recognition of handwritten English in practical application, a method of font feature extraction and recognition using deep learning is proposed. Considering the serious differences of off-line handwriting styles of different people, the scheme uses the preprocessed image data to train the improved CNN model, reduces the interdependence of parameters. Then the improved LeNet-5 model is applied to the research of handwritten numeral recognition. The simulation results show that our method can effectively realize the automatic recognition of handwritten English, and its character recognition accuracy can reach more than 95%.
An GMM-HMM Based Intelligent Scoring Mechanism for Oral English Pronunciation
Authors: Yang Zhiwei , Liu Yiwei , Zhang Qinghai
Published: February 2024

To improve the ability of intelligent detection of oral English pronunciation errors, this paper proposes an intelligent scoring model for pronunciation based on related speech recognition principles. The scheme is based on automatic speech recognition technology. First, MFCC is used to process the speech signal from the oral test system. Second, the corpus is standardized by the posterior probability scoring method based on the Hidden Markov Model(HMM), to fit the distribution of speech feature observation vectors. Finally, the pronunciation error detection is recognized according to the spectrum difference. The simulation results show that the mechanism presents high accuracy in the automatic evaluation of oral pronunciation quality, which helps to improve the self-learning ability of English learners.
A Cross Language Information Retrieval Model Based on Latent Semantic Analysis
Authors: Li Shangkun
Published: February 2024

Aiming at the problems of traditional query expansion methods, a cross language information retrieval scheme based on latent semantic analysis(LSA) was proposed. The method based on SVD and matrix decomposition was used to model wholeheartedly. Then, different types of information were introduced to the singular value decomposition process to analyze the local features and similarity of feature words. Finally, text clustering was applied to the interactive process of retrieval to improve the quality of information retrieval. The experimental results showed that the text retrieval strategy based on latent semantics proposed in this paper effectively improved and optimized the effect of cross language text classification and retrieval. Compared with the traditional algorithm, it had a great improvement in the accuracy index of retrieval.
Security Monitoring System for Power IoTs Based on Machine Learning
Authors: Huang Zhenlin , Wen Xing , Wang Ning , Zhao Liuqi , Zhu Jinwei
Published: February 2024

In order to ensure the normal operation of power information system, an intelligent monitoring system based on Internet of things(IoT) and machine learning is proposed. Firstly, the technical architecture of power IOT security monitoring system is provided. The application of sensor in power IoT sensor technology from the aspects of data acquisition, data cleaning and data storage is expounded. Then, we focus on studying the network security monitoring technology of power IoT terminals, using LSTM to detect anomalies in the information intervened by the terminals, and the specific implementation process is also provided. Finally, the feasibility and effectiveness of the monitoring system are proved by practice tests and analysis. The results show that it can efficiently complete the analysis of massive power data, and effectively predict and reduce the security operation and maintenance risk of power IoT system.
Intelligent Power Communication Network Model Based on Improved SOM Algorithm
Authors: Zhan Meiling
Published: February 2024

By analyzing the main statistical data of power communication equipment in recent years, the main characteristics and driving factors affecting the development of power communication network are studied, and the main problems of current power communication network are discussed. Then, the communication network is intelligently divided into different communication areas by using the neural network connection as the external input mode, where each region has different response characteristics to the input mode, and such process is automatic. After self-organizing learning, an improved SOM network is used to forms regular topology in the output layer, which successfully classifies Chinese power telecommunication development issues intelligently, and it provides reference for the development of electric power communication in the later period.
Financial Analysis System Design for Institutional Users Based on Deep Learning
Authors: Meng Guo , Fan Wei
Published: February 2024

To strengthen the ability to obtain effective financial data in complex network environment, a distributed information data acquisition and analysis strategy based on deep learning is proposed. Based on service-oriented architecture, the overall requirements and data analysis of the platform are provided an integrated infrastructure platform under cloud platform is established. The analysis module of the core of system uses LSTM networks to model financial data to process complex financial market data inputs. Then, the detailed implementation processes of data acquisition, pre-partition and storage module are also realized. Finally, a large number of institutional user samples are used as case studies to test the function and performance of the system. The results show that such model can provide effective prediction results and it has higher accuracy in time series data prediction. Besides, the system resource scheduling has high efficiency and stability on real financial big datasets.
Personalized Recommendation for Network Teaching Courses Based on Combined Filtering of Deep Learning and K-Means
Authors: Xia Kaitang
Published: February 2024

To meet the needs of students for personalized learning during the process of network teaching, a personalized recommendation scheme based on combined filtering is proposed. Firstly, based on the analysis of deep learning algorithm and existing personalized recommendation technology, a specific framework for teaching course recommendation is proposed. Using the advantages of deep learning in natural language processing, a neural network model is constructed and trained. Then the weights of different feature sequences are acquired through similarity calculation, which provides a data basis for the design of curriculum recommendation engine. Finally, a recommendation system based on feature weighted optimization is proposed, and its implementation process on Hadoop platform is also provided. The experiment takes the recommendation of psychology teaching resources as an example to test, which proves that the strategy can better complete the personalized recommendation task, and it has better accuracy and recall compared with similar algorithms.
A Neural Network Evaluation Model for College Students’ Mental Health
Authors: Zhang Gen
Published: February 2024

Due to the lack of reasonable evaluation in the analysis of college students’ mental health nowdays, this paper puts forward the strategy of combining neural network and genetic algorithm for the analysis and prediction of college students’ mental health. First, aiming at the shortcomings of traditional BP neural network, such as slow convergence speed and easy to fall into local minima, we use GA to optimize its weights and thresholds. Then, the structural characteristics of neural network and the artificial neural network toolbox of MATLAB are used for case analysis. The data sample is the total score of SCL-90 psychological scale test results as the output sample to establish a sample data set, which can predict the weight of each influencing factor of mental health. The experimental results show that the error between the predicted value and the measured value is only 1.03%, which achieves the expected effect and can reasonably evaluate the mental health of college student.
Enterprise Marketing Big Data Analysis Model Based on Decision Tree Algorithm
Authors: Yang Yan
Published: February 2024

In order to make better use of big data to study the precision marketing of enterprises, an analysis model based on decision tree is proposed. Considering the market research value of data mining in enterprises, this paper discusses the decision tree algorithm and its application in related analysis. Then, taking the marketing information sample of a real estate enterprise as an example, the improved decision tree model is used to find the main factors affecting customers’ house purchase selection from the sales data. Finally, combined with the results of case analysis, the specific implementation scheme of marketing big data analysis is provided on Hadoop platform. The results show that the model can realize precision marketing based on product differentiation and provide scientific and objective marketing decisions for enterprises.
Influencing Factors Analysis of Regional Industrial Economy Based on Neural Network and Ridge Regression Model
Authors: Liu Zhangwen
Published: February 2024

To obtain the important variables affecting industrial competitive advantage, an analysis model of influencing factors based on multiple regression linear is constructed. Taking the impact of RCEP on local economy in Wenzhou as an example, the scheme makes an empirical analysis on the important factors of economic growth of the industry. The index system of economic influencing factors is established by the principle of time series prediction. Then, ridge plot is used to evaluate independent variables and use the results as input variables for BP training network to achieve more stable prediction accuracy. According to the research results, we preliminarily judge the impact of various factors on the region. The combination of two models if verified to have better convergence speed and prediction accuracy, which also provides the countermeasures and suggestions for the development of industrial economy.
PD-1 inhibitor combined with Docetaxel exerts synergistic anti-prostate cancer effect in mice by down-regulating the expression of PI3K/AKT/NFKB-P65/PD-L1 signaling pathway
Authors: Zhou Sixu , Wang Baogui , Wei Yingying , Dai Peiru , Chen Yan , Xiao Yingyi , Xia Hongmei , Chen Chunlin , Yin Weihua
Published: February 2024

BACKGROUND:

Docetaxel is a yew compound antitumor agent with accurate antitumor efficacy, but its application is limited due to the high and serious adverse effects, and finding effective combination therapy options is a viable strategy. Immune checkpoint inhibitors have become hotspots in enhancing anti-tumor immunity by blocking immune checkpoint signaling pathways, but their response rate to monotherapy use is not high and the efficacy is minimal.

OBJECTIVE:

To explore the anti-tumor effects and mechanisms of the combination of PD-1 inhibitors and Docetaxel through in vivo experiments and develop a feasible combination treatment for the therapy of prostate cancer.

METHODS:

Tumor-bearing mice were subcutaneously injected with 0.1 ml RM-1 cells. Treatment were taken when the tumor growed up to 3 mm, after which the tumor and spleen were removed to test the antitumor effect with Flow cytometric (FACS) analysis, Immunohistochemistry, Western Blot.

RESULTS:

In this experiment, we found that PD-1 inhibitors combined with Docetaxel had a synergistic effect on mouse prostate cancer, inhibited the growth of prostate cancer, improved survival and reduced adverse reactions, increased spleen and tumor infiltrative CD4+ and CD8+ T cells, especially in group combination with low-dose Docetaxel, and were related to the PI3K/AKT/NFKB-P65/PD-L1 signaling pathway.

CONCLUSION:

Our study confirms that PD-1 inhibitors in combination with Docetaxel are a viable combination strategy and provide a safe and effective combination option for the clinical treatment of prostate cancer.
Research on transmission characteristics of sleeve type electromagnetic hybrid governor
Authors: Cheng Gang , Song Donghua
Published: February 2024

Aiming at the shortcomings of the traditional permanent magnet governor air gap speed regulation, a sleeve-type electromagnetic hybrid governor is proposed by controlling the current instead of adjusting the air gap, the structural characteristics and working principle of the speed regulation model are introduced, and the electromagnetic torque mathematical expression is derived based on the equivalent magnetic circuit method, and the key parameters affecting the transmission performance of the governor are obtained, and the simulation model of the sleeve electromagnetic hybrid governor is established by using the finite element analysis method to analyze the electromagnetic field change law in the governor under the transient field. The change curve of air gap magnetic inductance intensity under different currents was obtained, and the influence of speed difference under different currents on the output torque was revealed, and finally, an experimental platform was built for testing, and the maximum error of torque simulation and the test was obtained by analyzing the results to verify the accuracy of the simulation method, on this basis, two structural schemes were proposed to improve the amplitude of the torque regulation of the governor by the current, under the structure of scheme 1, the adjustment amplitude of the torque increased from 35% of the original structure to 96%, and the improvement effect was ideal. Its laws and conclusions can provide a reference for the further design and optimization of sleeve electromagnetic hybrid governor.
A new efficiency figure of merit for induction heating appliances operating under highly variable operating conditions
Authors: Lucia Oscar , Sarnago Hector , Guillen Pablo , Burdío Jose M.
Published: February 2024

Induction heating is an efficient and high-performance heating method which already has a significant market penetration and economic impact due to its benefits inherent to contactless energy transfer systems such as quickness, cleanness, and safety. Efficiency is a key design parameter since it determines not only the appliance performance but also its environmental impact, with significant socio-political implications. However, it is not easy to determine and compare the actual power converter efficiency operating under highly variable conditions typical of IH. This paper proposes an averaged efficiency parameter elaborated based on technical and typical IH usage conditions that offers a useful value to compare power converters operating under realistic operation conditions. The proposed parameter has been evaluated in some of the most significant power converter topologies used in reported state-of-the-art induction heating systems.
Pengetahuan Teknik Pelaksanaan Renovasi Rumah Sederhana Pasca Gempa Untuk Warga Masyarakat Cihikeu, Cianjur, Jawa Barat.
Authors: Girsang Hamonangan , Djawu Patricia Kanicia , Waseso Arga Probo
Published: February 2024

Wilayah geografis Indonesia yang berada di kawasan lempeng bumi yang terus bergerak yaitu  Indo-Australia dari selatan, Eurasia dari utara, serta Pasifik dari timur. Itulah alasan mengapa Indonesia rawan terjadi gempa bumi.  Seperti gempa bumi Cianjur yang terjadi 21 November 2022 dengan kekuatan 5,6 Magnitudo berdampak merusak,  ratusan orang meninggal dan ribuan bangunan hancur. Pengetahuan masyarakat terkait gempa sangat terbatas yang menyangkut potensi, antisipasi,  dampak serta perbaikan bangunan.  Dengan keterbatasan tersebut maka perlu ditingkatkan pemahaman, pengetahuan kegempaan melalui sosialisasi dan penyuluhan. Melalui penyuluhan teknik cara merenovasi rumah tahan gempa secara berkelanjutan diharapkan para masyarakat memiliki kesadaran serta antisipatif dari ancaman bencana gempa. Perguruan Tinggi yang merupakan insan civitas akademik  bagian dari masyarakat yang cepat tanggap, peduli dan terpanggil menyebarkan pengetahuannya dalam mengantisipatif serta pemecahan masalah rendahnya pengetahuan masyarakat pemakai jasa konstruksi bangunan rumah sederhana. Penyuluhan yang dilakukan kepada warga masyarakat kampung Cihikeu, Desa Sarampad kabupaten Cianjur lewat paparan serta pengisian kuisioner yang mana dari hasil olah data kuisioner  masyarakat setempat memahami zonasi kegempaan daerah tinggal mereka, serta dapat menerapkan bahkan mengawasi serta mengantisipasi bencana gempa melalui keilmuan dan pengetahuan yang dimiliki dengan kekhususan pada renovasi konstruksi rumah yang terdampak gempa dengan menerapkan kaidah dan ketentuan yang berlaku yang dituangkan dalam Standard Nasional Indonesia.
Pelatihan Sistem Informasi Untuk Pendataan UMKM di Indramayu
Authors: Ermatita Ermatita , Adrezo Muhammad , Matondang Nurhafifah , Irmanda Helena Nurramdhani
Published: February 2024

UMKM menjadi salah satu bagian dari kegiatan yang memberikan solusi dalam mengatasi perekonomian masyarakat di Indonesia khususnya di Kabupaten Indramayu. Dinas Koperasi dan UMKM Indramayu saat ini dalam melakukan pendataan UMKM masih manual,  pendataan masih menggunakan Ms. Excel. Dengan system yang masih manual ini menimbulkan resiko terjadinya human error saat pencatatan, tidak ada histori pada perubahan data, data yang kurang akurat, dan butuh waktu lama untuk rekonsiliasi. Dari kekurangan tersebut sering terjadi pada saat melakukan pendataan jumlah dan jenis UMKM. Oleh karena itu maka dibutuhkan sistem yang dapat mendata UMKM secara akurat. Penggunaan sistem ini butuh pelatihan bagi pengguna yang akan bertugas mendata UMKM yang ada didesa untuk dapat mendata UMKM secara akurat di Kabupaten Indramayu. Pelatihan penggunaan sistem UMKM diberikan kepada perwakilan pengelola data UMKM di desa, sehingga dari desa dapat didata UMKM secara akurat.Dengan pelatihan ini dapat membantu pihak pemerintah Kabupaten indramayu untuk mendata jumlah, lokasi dan jenis UMKM yang ada. Sehingga mempermudah magi pihak pemerintah untuk melakukan pembinaan UMKM yang dapat meningkatkan perekonomian masyarakat. Pelatihan penggunaan sistem UMKM diberikan kepada perwakilan pengelola data UMKM di desa, sehingga dari desa dapat didata UMKM secara akurat.
Peningkatan Kompetensi English Speaking dan Komunikasi Kolaboratif Pada Siswa-Siswi MAN 3 Sleman Melalui Mayoga English Camp
Authors: Murtafi'ah Banatul , Ardini Anandayu Suri , Prasetya Willy , Al Ghaniy Roro Millatu , Putri Dian Febriany
Published: February 2024

Survei yang dilaksanakan pada tahun 2022 oleh Education First (EF) menunjukkan bahwa keterampilan berbahasa Inggris dunia, English Proficiency Index (EPI) menyajikan fakta bahwa Indonesia menduduki peringkat ke-81 dari 111 negara di dunia dengan perolehan hasil 469. Secara global, hasil EPI Indonesia belum mampu mencapai target rerata skor EPI global yakni 502 poin. Hal ini menjelaskan perlu adanya pembenahan dalam kompetensi berbahasa Inggris terlebih di era serba modern ini. Dalam menghadapi situasi ini, diperlukan adanya pemberdayaan kepada siswa sehingga mampu mengembangkan keterampilan berbahasa Inggris dengan mengadopsi Content and Language Integrated Learning (CLIL) and Project-based Learning (PjBL) yang selaras dengan program P5 (Projek Penguatan Profil Pelajar Pancasila) Kurikulum Merdeka. Oleh karenanya, program pengabdian masyarakat yang ditujukan kepada pelajar menengah atas diharapakan dapat meningkatkan kecakapan berbahasa Inggris dengan pendekatan kolaborasi yang dilandasi nilai-nilai keislaman. Program pengabdian kepada masyarakat ini merupakan kelanjutan dari program pengabdian masyarakat tahun sebelumnya di MAN 3 Sleman, Yogyakarta, dengan beberapa modifikasi dan pembaruan pada metode pembelajaran yang dirancang. Dari hasil pembelajaran klasikal dengan CLIL dan projek mandiri siswa, nilai bahasa Inggris siswa meningkat secara signifikan.
Peningkatan Kesadaran Literasi Digital Dikalangan Siswa-Siswi PKBM Tanda Genap
Authors: Lestari Fitri Dwi , Subiakto Vania Utamie , Damayanti Ida Royani
Published: February 2024

Tujuan Kegiatan pengabdian masyarakat ini adalah untuk meningkatkan kesadaran literasi digital di kalangan generasi muda khususnya pelajar. Adanya Perkembangan teknologi, generasi muda harus mampu membentuk sikap dan perilaku yang unggul, karena masifnya pemberitaan media serta keterbukaan dan kemudahan akses informasi, diperlukan adanya penyaringan dalam menerima dan menyebarkan informasi. Latar belakang kegiatan ini ialah banyaknya berita hoax yang beredar di media sosial. Tak hanya itu, teknologi digital kini semakin berkembang sehingga dapat diakses oleh semua kalangan, terutama generasi muda. Fenomena yang terjadi saat ini adalah marak pemberitaan hoax yang beredar di media sosial dikarenakan semakin mudah mengakses informasi oleh karena itu generasi muda diperlukan filterisasi dalam mengakses informasi dan penyebaran informasi. Siswa-siswi PKBM TANDA GENAP merupakan generasi muda di DKI Jakarta yang seharusnya bisa lebih cerdas dalam memahami perkembangan teknologi. Adapun Hasil kegiatan dimana peserta tidak hanya memperoleh pengetahuan teoritis mengenai literasi digital namun mendapatkan keterampilan praktis untuk menghadapi tantangan era digital. Kesadaran mereka terhadap risiko dunia maya telah meningkat dan mereka kini dapat mengambil keputusan yang lebih tepat ketika berinteraksi dengan teknologi. Hal ini membawa perubahan budaya digital di lingkungan sekolah dan rumah, dimana literasi digital menjadi prioritas bagi semua pihak.
Penyuluhan Kesehatan Gigi dan Mulut Bagi Siswa SD di Kecamatan Manggar, Belitung Timur
Authors: Rifky Mirna F. , Puspita Susi R , Ruslan Mutiara Rina
Published: February 2024

Penyakit gigi dan mulut merupakan masalah kesehatan yang cukup banyak diderita oleh masyarakat Indonesia dan merupakan hal yang sepatutnya diberi perhatian secara saksama oleh tenaga kesehatan medis, khususnya dokter gigi ataupun perawat gigi. Faktor tingkat pengetahuan dan kesadaran yang rendah mengenai kesehatan gigi dan mulut menyebabkan seseorang tidak mengetahui penyebab dan pencegahan karies gigi. Kegiatan pengabdian masyarakat   FKG UPDM(B) diikuti oleh 11 orang peserta dokter gigi dan 60 orang mahasiswa program profesi FKG UPDM(B). Kegiatan pengabdian masyarakat bertempat di Gedung SMAN 1 Kecamatan Manggar, Belitung Timur dengan sasaran peserta siswa SD di sekitar kecamatan Manggar sebanyak 300 orang. Pelayanan yang dilakukan berupa penyuluhan kesehatan gigi dan mulut, pembagian sikat gigi dan pasta gigi serta edukasi kepada anak-anak, sebagai upaya promosi kesehatan gigi dan mulut. Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk meningkatkan pengetahuan di bidang kesehatan gigi dan mulut untuk anak-anak sejak dini, Kegiatan pengabdian Masyarakat Fakultas Kedokteran Gigi Universitas Prof. Dr. Moestopo (Beragama) dilaksanakan di Gedung SMAN1 Kecamatan Manggar, Belitung Timur. Diharapkan kegiatan penyuluhan kesehatan gigi dan mulut ini  dilakukan secara terprogram dan berkelanjutan, serta mendapat  dukungan dari berbagai pihak terutama masyarakat dan pemerintah setempat secara konsisten
Bimbingan Karier bagi Pelajar SMA Negeri 1 Bajawa Kabupaten Ngada
Authors: Sando Martinus Valdino Wonda , Bulor Rosa Mustika , Tukan Gerardus Diri , Nggabut Giovani Don Bosco , Rani Maria Ersilia Melly
Published: February 2024

Siswa siswi Sekolah Menengah Atas Negeri 1 Bajawa kabupaten Ngada, diketahui belum memiliki pengetahuan yang memadai tentang karier. Kondisi itu ditemukan dalam diskusi nonformal bersama beberapa siswa yang berdomisili di Kelurahan Tanalodu sehingga mendasari pelaksanaan kegiatan bimbingan karier bagi siswa siswi kelas XII Sekolah Menengah Atas Negeri 1 Bajawa. Tujuan kegiatan ini yaitu memberikan pengetahuan kepada siswa siswi tentang karier masa depan, membuka pikiran serta mempersiapkan mereka untuk merencanakan karier masa depan sejak dini. Metode pelaksanaan kegiatan yaitu ceramah dan diskusi. Kegiatan dilaksanakan di Aula Sekolah Menengah Atas Negeri 1 Bajawa, sesuai kesepakatan dengan pihak sekolah.  Hasil kegiatan yang dicapai yaitu para siswa siswi peserta kegiatan antusias mengikuti kegiatan, Materi kegiatan yang disajikan tampak dipahami secara baik oleh para peserta kegiatan. Antusiasme dan pemahaman para siswa siswi peserta kegiatan terhadap kegiatan dan materi kegiatan yang disajikan, ditunjukkan melalui keterlibatan aktif para siswa peserta kegiatan dalam mengajukan pertanyaan dan memberikan pendapat saat diskusi. Para siswa juga tampak berani menyampaikan tentang rencana masa depannya setelah menamatkan jenjang Sekolah Menengah Atas. Para siswa menyatakan senang karena memperoleh informasi tentang karier masa depan dan harus menyiapkan diri dan mempunyai rencana lebih awal serta menyatakan mebutuhkan informasi sesuai kegiatan yang telah dilakukan.
Pemberdayaan SDM Masyarakat di Pulau Tidung dalam Pemahaman Blue Economy
Authors: Perkasa Didin Hikmah , Kamil Islamiah , Ariani Meiliyah , Komarudin Komarudin , Abdullah M. Al Faruq
Published: February 2024

Pendekatan melalui “Blue Economic” memiliki relevansi yang luas sebagai pemanfaatan hasil kelautan untuk kemakmuran masyarakat. Karena sektor kelautan lautan memiliki peran besar untuk umat manusia di masa depan, dan Ekonomi Biru menawarkan pendekatan pembangunan berkelanjutan yang lebih baik. Pulau Tidung merupakan salah satu pulau yang berada di wilayah kepulauan seribu. Tujuan pengabdian masyarakat adalah menerapkan blue economy kepada masyarakat untuk meningkatkan kesejahteraan masyarakat di pesisir pantai pulau Tidung. Permasalahan yang didapat adalah rendahnya kualitas produk olahan yang dihasilkan masyarakat pulau Tidung. Untuk itu solusi yang kami tawarkan memberikan pelatihan-pelatihan dalam peningkatan kualitas produk olahan agar dapat meningkatkan kesejahteraan masyarakat pulau Tidung. Adapun luaran dari kegiatan pengabdian masyarakat akan dipublikasikan dalam artikel jurnal.
A case of circumvallate placenta causing preterm premature rupture of membranes post-amniocentesis
Authors: Pritti Kumari , Mishra Vineet , Aggarwal Rohina , Choudhary Sumesh
Published: February 2024

We report a case of circumvallate placenta which led to preterm premature rupture of membranes (PPROM) and leakage in a mother at 17 weeks of gestation. The mother underwent amniocentesis after the triple marker test showed an increased risk for trisomy 21. We encountered difficulty in aspirating amniotic fluid due to the abnormal placental structure, which was not known at the time of the invasive procedure. The mother experienced leaking 7 days post-procedure, followed by miscarriage. Autopsy examination revealed that the placenta was circumvallate, which not only caused difficulty in aspirating the amniotic fluid but also could be the cause of PPROM, a well-known complication of the circumvallate placenta. We emphasize that examining the placenta is very important to identify the cause of events in certain situations; circumvallate placenta or abnormal placenta can be suspected in cases where hindrance is encountered (not able to aspirate amniotic fluid even if the needle is visible in the amniotic sac) during amniocentesis.
A case report of chronic hepatitis-C genotype 4c infection: Non-specific symptoms can become contextually relevant in clinical diagnosis
Authors: Mantha Kameswara Bharadwaj
Published: February 2024

Chronic hepatitis C (CHC) infection is one of the leading causes of liver disease worldwide and its early diagnosis is often considered a challenge because of its non-symptomatic presentation until late disease progression stages. We report the case of a 52-year-old, South-Indian male with CHC genotype 4c infection. We start with the patient’s initial presentation 12 weeks before the diagnosis with seemingly non-specific symptoms of pedal edema, purpura, peripheral neuropathy, arthralgia, and recent onset of diabetes mellitus (DM). We then present the employed direct-acting antiviral (DAA) management regimen and the patient’s response over the span of 48 weeks. Correlating with observations from recent literature highlighting CHC’s extra-hepatic role in inducing cryoglobulinemic vasculitis (CV) and pancreatic dysfunction, we discuss some educational perspectives on how CV and DM-related symptoms may sometimes become contextually specific in clinically suspecting, assessing risk, and warranting CHC screening and diagnostic confirmation.
Carcinoid tumor of the ovary: A mysterious puzzle
Authors: - Thilagarani , Ajith Prasad Sowmya Devi
Published: February 2024

Carcinoid tumor of the ovary is a rare neoplasm that may present as a solid mass or combined with mucinous tumors or teratomas. Primary ovarian carcinoid represents <0.1% of ovarian malignancies. These tumors are often unilateral presenting as a solid mass and vary from microscopic to very large tumors. Metastatic ovarian carcinoid tumors are seen to be bilateral in most cases. Involvement of the ovary from gastrointestinal carcinoid is rare with no hepatic or peritoneal seedlings. Ovarian carcinoid tumors commonly occur in perimenopausal and postmenopausal women. Surgical removal of the tumor is the standard treatment modality. Tumor size and the presence of metastasis are necessary to plan the treatment modality. We herein report a case of carcinoid tumor of the ovary in a 55-year-old female, which we thought was a dermoid cyst of the ovary and turned out to be carcinoid after detailed immunohistochemical analysis.
A rare cause of pregnancy-related acute kidney injury-infective endocarditis-associated infection-related glomerulonephritis
Authors: Chaudhary Nikhil , Singh Shivendra
Published: February 2024

Pregnancy-related acute kidney injury (PRAKI) commonly occurs due to septic abortion and accounts for 15–25% of acute kidney injury (AKI). Glomerulonephritis is a rare cause of PRAKI. The index case was a 20-year-old primigravida who presented in the last trimester of pregnancy with infective endocarditis-associated glomerulonephritis, also complicated by splenic infarct, AKI, and intrauterine fetal death. Renal biopsy revealed crescentic glomerulonephritis and she improved on antibiotic and steroid therapy.
The first-ever reported primary spinal infection with Aeromonas
Authors: Mathew Meghena , Bharadwaj TP , Nambi P Senthur , Mani Ashwin
Published: February 2024

Back pain can be an insignificant symptom in most patients in the intensive care unit. However, a simple complaint of back pain can have a tell-tale behind it. We present the case of a 57-year-old patient who presented to us with thrombocytopenia, leukocytosis, and urinary symptoms. Investigating her back pain revealed that she had a spinal epidural abscess with a very rare organism like Aeromonas hydrophila with no risk factors for the same. She had no prior history of trauma or any spinal surgeries. Hence, this is a primary Aeromonas spinal infection with no other source of seeding from any other sites. Our understanding and review of the literature could not find us any other case reports ever reported.
РИНОК ІПОТЕЧНОГО КРЕДИТУВАННЯ В УМОВАХ ВОЄННОГО СТАНУ
Authors: Кльоц Ігор
Published: February 2024

Стаття розглядає сучасний стан іпотечного кредитування в Україні, зокрема під впливом економічних труднощів та воєнно-політичної ситуації. Обговорюються ключові аспекти регулювання, проблеми ринку іпотечних кредитів та їх вплив на соціально-економічний розвиток країни. Зокрема, детально розглядається впровадження державної програми "єОселя" як стратегічного інструменту для відновлення іпотечного кредитування та забезпечення доступності житла для громадян. Аналізується структура та динаміка надання іпотечних кредитів, зокрема за програмою "єОселя", а також вплив цих процесів на регіональний розподіл ринку. Сформовано висновки щодо перспектив розвитку іпотечного кредитування в контексті поточних викликів та необхідності стратегічних заходів для стабілізації та розвитку ринку нерухомості в Україні.
ДЕРЖАВНЕ РЕГУЛЮВАННЯ АГРАРНОГО СЕКТОРУ ЕКОНОМІКИ В КОНТЕКСТІ ЗАБЕЗПЕЧЕННЯ ЗАВДАНЬ СТАЛОГО РОЗВИТКУ
Authors: Погорєлова Олена
Published: February 2024

Стаття присвячена актуальним питанням формування та реалізації державного регулювання аграрного сектору економіки. В основою вибудови державної політики аграрного сектору, запропонованого автором, закладено положення про необхідність досягнення цілей та завдань сталого розвитку. В результаті дослідження обґрунтовано напрями формування та реалізація державної аграрної політики України в контексті забезпечення завдань сталого розвитку, які базуються на трьох складових: вибудова аграрної політики України на спільних з ЄС принципах та засадах; забезпечення стійкості сільського господарства; регулювання земельних відносин з точки зору забезпечення зменшення рівня їх деградації та відновлення ґрунтів. Запропоновані напрями містять теоретичне обґрунтування та практичні рекомендації щодо можливостей та обмежень запровадження їх на національному рівні.
УДОСКОНАЛЕННЯ МАРКЕТИНГОВИХ КОНКУРЕНТНИХ СТРАТЕГІЙ АГРАРНОГО ПІДПРИЄМСТВА
Authors: Багорка Марія , Абрамович Інна
Published: February 2024

В статті розглянуто основні проблеми сучасного функціонування аграрних підприємств, визначена роль маркетингових конкурентних стратегій, представлені базові конкурентні стратегії та алгоритм їх розробки, сформовані дієві пропозиції їх удосконалення. На підставі теоретичних обґрунтувань встановлено, що конкурентоспроможність підприємства – це рівень його потенціалу, який забезпечує здатність утримувати або розширити свою частку ринку в конкурентному середовищі. Існує багато стратегій досягнення конкурентоспроможності переваги, але базовими конкурентними стратегіями є: стратегія зниження собівартості продукту, продуктова стратегія диференціації, стратегія сегментації, інновація стратегія, стратегія негайного реагування на потреби ринку. Розробка маркетингової конкурентної стратегії є одним із важливі складові підвищення конкурентоспроможності підприємств аграрної галузі і передбачає вибір, виявлення адаптивних особливостей при розробці та оцінюванні альтернативних конкурентних стратегій. Розробка сучасної комплексної конкурентної стратегії підприємства повинна поєднувати і гармонізувати цілі та завдання стратегій різних рівнів.
ФУНКЦІОНУВАННЯ ТА РОЗВИТОК БІЗНЕСУ В УМОВАХ ЦИРКУЛЯРНОЇ ЕКОНОМІКИ
Authors: Дементьєв Олександр
Published: February 2024

Стаття присвячена актуальним питанням розвитку циркулярної економіки. Охарактеризовано принципи впровадження циркулярної економіки на зміну лінійній моделі. Проаналізовано та систематизовано цілі та результати впровадження циркулярної економіки для різних суб’єктів господарювання. Досліджено провідний світовий та вітчизняний досвід впровадження бізнес-моделей циркулярної економіки. Проаналізовано підходи та систему індикаторів, що використовуються для моніторингу, аналізу та оцінювання трендів розвитку циркулярної економіки. Окреслено перспективні напрями розвитку вітчизняного бізнесу в умовах циркулярної економіки. Виявлено проблеми функціонування та розвитку бізнесу в умовах циркулярної економіки.
ТЕОРЕТИЧНІ ТА МЕТОДИЧНІ ПРИНЦИПИ ІНКЛЮЗИВНОГО РОЗВИТКУ СІЛЬСЬКИХ ТЕРИТОРІЙ УКРАЇНИ
Authors: Філюк Дмитро
Published: February 2024

У статті розглянуто теоретичні та методичні принципи інклюзивного розвитку сільських територій України. Проведено аналіз сучасного стану сільського розвитку та виявлено основні виклики, з якими стикаються сільські громади. У контексті поняття інклюзивного розвитку досліджено необхідність врахування інтересів та потреб різних соціальних груп, а також забезпечення їхньої рівності у доступі до ресурсів та можливостей. Визначено, що теоретичні підходи до інклюзивного розвитку сільських територій включають в себе інтеграцію соціальної, економічної та екологічної сфер, спрямовану на формування умов для збалансованого і сталого розвитку даних територій. Розглянуто методичні аспекти впровадження інклюзивного підходу, такі як формування ефективних механізмів участі громадськості, розвиток інфраструктури та підтримка соціальних інновацій. Досліджено практичні аспекти застосування інклюзивних принципів у сільських територіях на прикладі конкретних ініціатив та програм.
COVID-19 IMPACT ON THE AIRPORTS’ AND THEIR HOME CARRIERS’ MARKETING STRATEGY
Authors: Астахов Кирил , Бойко Ярослав
Published: February 2024

The article is dedicated to the impact of the crisis caused by the COVID-19 pandemic on the aviation industry and the measures taken by the governments, airports and home carriers to overcome the consequences of the said crisis. Government actions and state aid programs for airports and airlines are reviewed. Practical examples of government aid to airports and airlines are provided. It is also reviewed how these actions affected the performance of the largest European hub airports, namely – London (Heathrow), Istanbul, Paris (Charles de Gaulle), Amsterdam and Madrid. Threats and opportunities for both European airports and airlines are analyzed with the focus on the perspectives of London (Heathrow) airport. The operation of the mentioned airports was analyzed according to the following indicators - the recovery of passenger traffic (2023/2022 and 2023/2019), connectivity, GDP indicators of the countries where the mentioned airports are located. Information on the home carriers of the airports, i.e., the share of the airline's passengers in the total number of passengers handled by the airport, financial indicators of the airlines, plans for the development of the fleet and route network is provided. Recommendations on cooperation between airports and their base airlines are provided.
Analysis of E-Commerce and Fintech Applications in Promoting UMKM Development in Padangsidempuan
Authors: Haryanti Nadya , Nurbaiti Nurbaiti , Ikhsan Harahap Muhammad
Published: February 2024

The purpose of this research is to see the development of Fintech technology and E-Commerce for UMKM in Padangsidimpuan city. The development of financial technology in Padangsidimpuan City is increasing, but there are still many people in Padangsidimpuan City who have not been served and use information technology. This study uses a qualitative approach with the types of data used by this study are primary and secondary data. Primary data, obtained based on interviews with respondents or informants. While secondary data obtained from journal literature, data, news, surveys, reports and theories related to research problems. This study uses analysis seen from the IFAS and EFAS matrices obtained from informants who are MSMEs in Padangsidimpuan City. The results of the study show that an aggressive strategy is the right strategy in encouraging the development of UMKM in Padangsidimpuan City to continue to maximize the strengths and opportunities that exist. From the results of the interviews, technological developments have not completely affected the SMEs of Padangsidimpuan City, because some of them are still attached to traditional culture. However, some of the UMKM in Padangsidimpuan City have used Fintech and E-Commerce services in their companies.
OPERATIONAL ANALYSIS OF PARTIAL LOSS AND THIRD PARTY ON AUTOMOBIL ASSURANCE IN PT. ASKRIDA SYARIAH BRANCH MEDAN
Authors: Sari Sekar , Lubis Fauzi Arif , Syahriza Rahmi
Published: February 2024

Sharia insurance, especially car insurance, is wide open because the majority of Indonesian people are Muslims and the volume of motor vehicles (Mobiles) is also increasing so rapidly. Besides, the Muslim community has already realised how important it is to be an insurance member. As for the purpose of this research to find out how the management mechanism of partial loss and third party on car insurance in PT. Askrida Insurance Shariah Cab. Field, whether partial loss and third party mechanisms are in line with Islamic financial theory. This research uses inductive qualitative methods with descriptive analysis. This type of research is field research. (field research). This research data includes primary data and secondary data. Research site in PT. Askrida Insurance Shariah Cab. Field, Jl. Sei Batang Assaangan No.43, Babura, Kec, New Field, Medan City, North Sumatra 20222. In data collection using observation methods, interviews, and documentation.. Based on the analysis that the researchers have done, then the results of this study is known that the shariah insurance concerning partial loss and third party on Vehicles in PT. Askrida Insurance Shariah Cab. Fields are in line with Islamic financial theory. Because in the practice of partial loss and third party at PT. Askrida Insurance Shariah Cab. The fields have already used the tabarru's accreditation and the urah's bill, as well as the claims, allocations of funds, and benefits that are in line with the concepts of Islamic financial theory.
Leader Investigation Strategies In The Development Of Marketing Environments To Forther Competitiveness In PT. Prudential Financial Binjai
Authors: Lintangdwiyana Lintangdwiyana , Ramadhani Sri , Bi Rahmani Nur Ahmadi
Published: February 2024

Strategy is a unified, comprehensive and integrated plan that links the advantages of corporate strategy with environmental challenges and that is designed to ensure that the company's main objectives can be achieved through proper execution by the company.  The purpose of this study is to examine more deeply the leadership strategy of leaders in developing marketers to increase competitive advantage at PT. Prudential Sharia Binjai. And to find out the success rate of a leader or leader in developing marketers. The method used is a qualitative descriptive method. Research is written using descriptive where research related to questions through interviews with leaders in a company to obtain results by observing and managing data. The results of this study show the success or success of a leader or leader seen from several factors, namely, agents have increased income, achievement of contests, achievement of travel trips and achievement of MDRT. The strategy used by leaders to develop marketers to increase competitive advantage in the company is to use a communication strategy, where communication is a very important role in increasing competitiveness.