bluuebunny/crossref_metadata_2025 huggingface dataset:
L'onomastica letteraria tra reazione e rivoluzione in Sette e mezzo di Giuseppe Maggiore
Authors: Privitera Daniela
Published: September 2024

La lettura onomastica proposta riguarda il romanzo di Giuseppe Maggiore, Sette e mezzo, pubblicato dalla casa editrice Flaccovio, nel 1952. La storia è incentrata sulla rivolta dei sette giorni e mezzo del settembre del 1866 combattuta dai siciliani contro lo statu quo del nuovo regno d'Italia, dopo l'Unità del 1861. L'opera di Giuseppe Maggiore è, tuttavia, rimasta nell'ombra per una serie di motivazioni legate anche alla più nota fama del romanzo di Tomasi di Lampedusa, Il Gattopardo (1958). Infatti, se in un primo momento Sette e mezzo non suscitò particolare risonanza, dopo la pubblicazione de Il Gattopardo, il romanzo di Maggiore divenne un caso letterario che scatenò un'accesa querelle sulla probabile discendenza del romanzo di Tomasi dal libro di Maggiore. In questo saggio vengono trattati il tema del “risorgimento mancato” e gli antroponimi presenti nel romanzo che riflettono la storia politica della Sicilia sotto l'Unità d'Italia.
Reflective Learning Through Observation, Performance and Design: Intermediate Italian Beyond the Textbook
Authors: Begali Mattia , Bilanceri Laura , Scapolo Andrea , Sposeto Emily
Published: September 2024

This paper presents in detail a curricular redesign project undertaken by a faculty working group at Duke University, aiming to organize teaching and learning around real-world tasks. This new intermediate Italian course design imagines the student assuming various roles throughout the learning experience: those of an engaged observer, a performer, a maker and creator, and a reflective participant in the community. In addition to discussing the overall curricular structure and pedagogical principles of the new course, the article describes specific activities that can be readily adapted to a wide range of Italian language programs.
Exploring the Integration of Traditional Cultural Elements in Digital Media Sculpture Creation
Authors: Zhang Xin , Yan Ibrahim Ahmad Rashdi Bin
Published: September 2024

With the rapid advancement of digital technology, the incorporation of traditional cultural elements into digital media sculpture has emerged as a significant research area within contemporary art. This phenomenon not only exemplifies the deep integration of traditional culture with modern technology but also highlights the unique advantages of digital media art in the expression and preservation of cultural heritage. This paper delves into the definition and categorization of traditional cultural elements, examining their visual representation, emotional conveyance, and value interpretation within digital media sculpture. Furthermore, it offers an in-depth analysis of how digital media technology enhances the expressive potential of traditional cultural elements in sculptural works, aiming to provide new perspectives and methodologies for future artistic creation and cultural preservation.
Current Situation and Countermeasures of Chinese Language Spreading Globally
Authors: Chen Shiming
Published: September 2024

The purpose of this paper is to discuss the current situation, challenges and countermeasures of Chinese language dissemination in the world. With the enhancement of China's international status, the spread of the Chinese language in the world has attracted more and more attention. However, the global dissemination of Chinese language still faces problems such as cultural differences, learning difficulties, and uneven distribution of teaching resources. In order to better promote the international dissemination of Chinese language, this paper puts forward countermeasures such as strengthening the promotion of Chinese culture, improving the quality of Chinese language teaching, expanding international cooperation and exchanges, and stimulating the enthusiasm for learning Chinese. By deepening cooperation with foreign institutions, innovating cultural dissemination methods, and optimising teaching materials and methods, the global influence of the Chinese language will be enhanced.
CLINICAL AND ANGIOGRAPHIC OUTCOMES OF PERCUTANEOUS CORONARY INTERVENTION IN CHRONIC TOTAL OCCLUSION PATIENTS: A RETROSPECTIVE STUDY AT A TERTIARY CARE HOSPITAL
Authors: ASLAM M , ASHRAF MW , BAKER MA , SAQI MAUR , FAROOQ M , KHAN KA
Published: September 2024

Chronic total occlusion (CTO) presents a unique challenge in percutaneous coronary intervention (PCI), requiring specialised techniques to achieve successful revascularisation. Despite the complexity, PCI in CTO cases has evolved significantly, showing promising outcomes. Objectives: To assess percutaneous coronary intervention's clinical and angiographic outcomes in chronic total occlusion patients. Methods:  This retrospective observational study was conducted at NICVD Karachi, Pakistan, following approval from the hospital's ethical committee. It reviewed the medical records of 150 patients who underwent percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) from January 2024 to July 2024. Data was collected retrospectively from electronic medical records, including demographic details (age, gender, cardiovascular risk factors, and comorbidities), baseline clinical characteristics (presentation, symptoms, angina status, and prior cardiac history), and angiographic data (pre- and post-procedural findings, including the Thrombolysis in Myocardial Infarction (TIMI) flow grade). Clinical outcomes were assessed for both short-term and long-term results, including major adverse cardiac events (MACE) such as myocardial infarction, repeat revascularisation, target lesion revascularisation, and all-cause mortality. Statistical analysis was performed using SPSS Version 25. Results: 150 patients were enrolled, with a mean age of 54.81±8.97 years. The cohort included 54.7% males (82 patients) and 45.3% females (68 patients). Before PCI, 87.3% of patients (131) had no blood flow in the occluded artery, while 12.7% (19) had minimal flow. Post-PCI, 91.3% (137 patients) achieved full blood flow (TIMI Flow Grade 3), and 8.7% (13 patients) had partial flow. The procedural success rate was 91.3%. In terms of short-term major adverse cardiac events (MACE), 116(77.3%) patients had no events, while 22.7% (34 patients) experienced a myocardial infarction (MI). For long-term MACE, 84.0% (126 patients) had no adverse events, 10.0% (15 patients) required target lesion revascularisation, 4.7% (7 patients) underwent repeat revascularisation, and 1.3% (2 patients) experienced mortality. Conclusion: This study confirms the efficacy and safety of PCI for CTO patients, demonstrating high procedural success rates, significant clinical improvements, and relatively low long-term adverse events. However, advancing procedural techniques and fostering specialised training are essential to enhance patient outcomes due to the risks and complexities involved. Further research, including large-scale randomised controlled trials, is needed to validate these results and refine patient selection and management strategies for CTO PCI.
ANALISA APRON FLOODLIGHT MENGGUNAKAN LAMPU LED DI BANDAR UDARA ADI SOEMARMO – SOLO
Authors: Aditya Pratama. Y  , Taryana  , Rubby Soebiantoro
Published: September 2024

Apron digunakan sebagai tempat parkir pesawat terbang. Selain untukparkir, pelataran pesawat digunakan untuk mengisi bahan bakar,menurunkan penumpang, dan mengisi penumpang pesawat terbang.Pelataran pesawat berada pada sisi udara (airport side) yang langsungbersinggungan dengan bangunan terminal, dan juga dihubungkan dengantaxiway yang menuju ke runway. Dimana kondisi saat ini di apron BandarUdara Adi Soemarmo system penerangannya kurang baik dikarenakanintensitas belum memenuhi standar intensitas yang dianjurkan olehANNEX Volume 14. Berdasarkan hasil pengukuran, intensitas penerangandi apron Bandar Udara Adi Soemarmo rata – ratanya sebesar 17 lux,sedangkan menurut ANNEX adalah 20 lux, sehingga dapat disimpulkanbahwa penerangan apeon tersebut belum memenuhi standar ANNEX.Untuk itulah diperlukan suatu perancangan ulang dengan hasil perhitungandengan menggunakan lampu led yang supaya intensitas penerangan sesuaidengan standar ANNEX serta memiliki tingkat efisiensi daya yang tinggi..
ALAT PENCATAT PENGGUNAAN LABORATORIUM BERBASIS PC DAN MIKROKONTROLLER DI LABORATORIUM AC PADA PROGRAM STUDI TEKNIK LISTRIK BANDARA SEKOLAH TINGGI PENERBANGAN INDONESIA
Authors: Rubby Soebiantoro
Published: September 2024

Saat ini dunia pendidikan sedang menghadapi tantangan yang berat untukmenyiapkan Sumber Daya Manusia yang berkualitas dan mampu bersaing di eraglobal. Salah satu faktor penunjang kegiatan belajar mengajar adalah kondisilaboratorium yang siap pakai dan terawat. Kondisi siap pakai dan terawat tersebutbisa terpenuhi apabila dilakukan perawatan yang sesuai dengan prosedurpemeliharaan oleh teknisi. Teknisi harus didukung oleh data penggunaaan danperawatan yang akurat untuk melakukan perawatan secara maksimal.Selama ini datapenggunaan laboratorim dicatat di logbook yang berada di masing-masinglaboratorium dan data perawatan tidak tercatat dengan rapi , taruna maupun dosentidak mengisi atau lupa tidak mengisi logbook, sehingga teknisi tidak dapatmendapatkan data penggunaan laboratorium dengan akurat. Dengan tidak akuratnyapencatatan penggunaan dan perawatan laboratorium maka akan menghambat tugasteknisi untuk melakukan perawatan laboratorium. Berdasarkan hal tersebut di atas,maka penulis membuat sebuah alat pencatat penggunaan dan perawatan laboratoriumberbasis PC dan mikrokontroler.
Konfigurasi Filter Data ADS-B Pada ATC System Untuk Mengatasi Kestabilan dan Stuck Altitude Air Traffic Surveillance Target
Authors: Anggraini Dian
Published: September 2024

Layanan lalu lintas udara memerlukan ketepatan dan keakurasian posisi dan ketinggian dari pesawat. ATC System sebagai peralatan penting dalam layanan lalu lintas udara memiliki input data dari Surveillance, yaitu Radar dan ADS-B, pada operasional ATC System terjadi permasalahan target yang tidak stabil serta ketinggian pesawat yang tidak presisi. Pada study ini bertujuan untuk mengatasi permasalahan target dengan mengkonfigurasi filter pada ADS-B data dengan menggunakan metode action research. Hasil menunjukkan bahwa setting altitude pada filter pada 200ft dapat mengurangi permasalahan target pada ATC Sytem yang memiliki input data surveillance dari radar dan ADS-B.
Kepemimpinan Dosen Dalam Pembelajaran Daring Di Masa Pandemi Covid 19: Sebuah Kajian Pada Taruna Teknik Penerbangan
Authors: Asih Pribadi
Published: September 2024

Pandemi Covid yang menyebar ke seluruh dunia telah menjadi bencana, mendisrupsi semua tatanan dunia, baik politik, ekonomi, sosial dan juga Pendidikan. Penelitian ini bertujuan untuk mengeksplorasi kepemimpinan dosen dalam pembelajaran daring pada masa pandemi Covid 19. Penelitian ini didesain menggunakan penelitian campuran baik pada pengambilan data maupun analisis data yang dilakukan. Pengambilan data primer dilakukan dengan penyebaran kuesioner kepada taruna yang terpilih menjadi responden. Selanjutnya dilakukan wawancara secara mendalam kepada perwakilan taruna per program studi yang dipilih secara acak. Data yang diperoleh akan dianalisis dengan menggunakan persamaan statistik sederhana menggunakan rumus deskriptif persentase. Setelah didapat hasil penelitian secara kuantitatif selanjutnya dilakukan proses triangulasi dengan data hasil wawancara. Wawancara dilakukan untuk mengelaborasi jawaban-jawaban pada kuesioner untuk dilakukan proses triangulasi berdasarkan konsep kepemimpinan dosen yang menjadi landasan teori. Proses triangulasi juga dilakukan dengan membandingkan temuan penelitian dengan kajian literatur mengenai kepemimpinan dosen pada penelitian-penelitian sebelumnya. Hasil penelitian menunjukkan bahwa kepemimpinan dosen dalam pembelajaran daring pada masa Covid 19 dilakukan dengan tiga kriteria yaitu keterampilan konseptual, keterampilan mengenai manusia, dan keterampilan teknis. Berdasarkan hasil kuesioner yang didapatkan diketahui bahwa ketiganya telah dilakukan oleh dosen dengan menggunakan beragam taktik dalam mempengaruhi orang lain sebagai bagian yang tidak terpisahkan dari kepemimpinan dosen. Kepemimpinan dosen yang dicirikan dengan tiga kriteria keterampilan dan taktik mempengaruhi orang lain yang digunakan pada penelitian ini dapat menjadi acuan bagi dosen-dosen lain di Politeknik Penerbangan Indonesia Curug khususnya dan di Perguruan Tinggi lainnya pada umumnya.
The Pemilihan Runway Berdasarkan Arah Angin Tiap Musim Di Bandar Udara Budiarto
Authors: Hidayati Arum , Komala Ratna , Riyandi Henry , Susanto Herman
Published: September 2024

Proses mengudara dan mendarat harus mempertimbangkan arah dan kecepatan angin guna menghindari kejadian yang fatal pada pesawat terbang terutama untuk pesawat berbadan kecil seperti yang dimiliki oleh Politeknik Penerbangan Indonesia Curug (PPIC). Informasi angin yang cepat, tepat dan akurat dapat menjadi pendukung keputusan bagi pilot maupun ATC untuk menentukan landasan yang aman untuk proses lepas landas maupun tinggal landas.  Perubahan arah angin skala regional terjadi secara monsunal di kebanyakan wilayah di Indonesia berpengaruh terhadap perubahan arah angin permukaan. Penelitian ini bertujuan untuk mencari arah kebanyakan angin bertiup di Bandar Udara Budiarto menggunakan aplikasi WindRose (Mawar Angin). Dengan mengetahui arah angin yang dominan berdasarkan bulan dan musimnya untuk menentukan runway yang akan digunakan di Bandar Udara Budiarto. Data arah dan kecepatan angin tiap jam dari Stasiun Meteorologi Budiarto selama periode lima tahun dari Januari 2015 hingga Desember 2019. Dari hasil penelitian didapatkan kesimpulan bahwa berdasarkan nilai kejadian headwind dan crosswind selama tahun 2015-2019 penggunaan Runway 04 baik digunakan pada saat musim hujan dan Runway 12 pada saat musim kemarau, sedangkan pada musim transisi Runway yang paling baik digunakan adalah Runway 04. Keputusan penggunaan runway tetap diserahkan kepada pihak terkait seperti ATC dan Pilot dengan mempertimbangkan hal hal lain diluar informasi arah dan kecepatan angin
Pengaruh Orientasi Serat Terhadap Kekuatan Tarik Pada Composite Sandwich dengan Foam Core
Authors: Alis Ratuningtyas  , Lilies Esthi Riyanti  , Herwanto Djoko
Published: September 2024

Komposit sandwich terdiri dari susunan utama core dan skin, banyak digunakan di struktur pesawat kerena memiliki kekuatan unggul dan ringan dari alumunium. Penelitian ini mengkaji pengaruh orientasi serat panel komposit sandwich dengan foam core pada tiga spesimen terhadap beban tarik. Skin terdiri dari kevlar, fiberglass, dan carbon dengan beragam orientasi seratnya lalu seluruh spesimen diuji menggunakan ASTM E8/E8M. Dari hasil uji tarik, spesimen 1 menunjukan properti material terbaik dengan susunan fiberglass 0o, fiberglass 90o, fiberglass 45o, core foam, kevlar 45o, carbon 90o, dan fiberglass 0o. Spesimen 1 memiliki nilai ultimate tensile strength tertinggi, sebesar 145,5 MPa, nilai yield strength sebesar 108 MPa, nilai elongation sebesar 2,5%, dan nilai fracture strength sebesar 2,56 MPa.
Pengaruh Komunikasi Dan Pengawasan Terhadap Kinerja Pegawai Pada Sekolah Tinggi Penerbangan Indonesia
Authors: Sadiatmi Rini , Zulina Kurniawati
Published: September 2024

Penelitian ini bertujuan untuk mengetahui besarnya pengaruh komunikasi pengawasan terhadap kinerja pegawai pada Sekolah Tinggi Penerbangan Indonesia (STPI) Curug - Tangerang melalui metode kuantitatif dengan rumusan masalah assosiatif dengan dua variabel independen yaitu komunikasi dan pengawasan. Subjek penelitian ini adalah para pegawai STPI Curug - Tangerang. Data penelitian diperoleh dari seberan kuesioner terhadap 83 ( delapan puluh tiga) orang responden. Hasil Penelitian menunjukan bahwa komunikasi dan pengawasan secara bersama - sama memiliki pengaruh yang signifikan terhadap kinerja pegawai pada STPI Curug Tangerang, hal ini diperoleh dari hasil persamaan Y= 8,897 + 0,395X1 +0,249X2. Diperoleh Koefisien Determinasi (R2) sebesar 0,444, artinya kontribusi komunikasi dan pengawasan terhadap kinerja 44,40% dan sisanya 55,60% dipengaruhi oleh faktor lainya yang tidak dianalisis lebih lanjut dalam penelitian ini.
Human-machine Voice and Human-machine Competition: Practical Landscape, Pattern Changes and Industrial Challenges of Generative AI-Enabled Audiobook Publishing
Authors: Wang Yuanxin , Wang Tingting , Fu Jingyi , You Xinyue
Published: September 2024

At present, generative artificial intelligence has a profound impact on the audiobook publishing industry chain, and exerts unprecedented transformative power in all aspects of audiobook publishing. This paper reviews the specific technical forms of generative artificial intelligence used in the process of audiobook publishing, including text-to-speech, speech recognition, intelligent speech interaction, voiceprint recognition, voice anonymization, etc., and shows the practical picture of how these technologies influence audiobook publishing in different stages of content creation, sound presentation, recording and editing, quality control, terminal playback and readers feedback. It analyzes the pattern changes of the audiobook publishing industry brought about by generative artificial intelligence, with "human-machine voice" as the core, and then discusses the challenges and reflections faced by the audiobook publishing industry under the trend of "human-machine competition and cooperation" from the aspects of underlying logic, industry pain points, fundamental principle, reading environment and technical ethics. Therefore, generative artificial intelligence technology is like a double-edged sword, audiobook publishers should fully understand its nature, conform to the trend of technology, and use it to enable new quality productive forces of audiobook publishing industry.
From FFT to sparse FFT: Innovations in efficient signal processing for large sparse data
Authors: Shen Ao
Published: September 2024

This paper explores the advancements from the traditional Fast Fourier Transform (FFT) to the Sparse Fast Fourier Transform (sFFT) and their implications for efficient signal processing of large, sparse datasets. FFT has long been a fundamental component in digital signal processing, significantly lowering the runtime of the Discrete Fourier Transform. However, the ingress of big data has necessitated much more efficient algorithms. In contrast, the sFFT exploits the sparsity in the signals themselves to reduce computational demand, and it becomes very efficient. This paper will discuss the theoretical backing of these two developments, FFT and sFFT, and the algorithmic development in both. In addition, it will also discuss the practical applications of both with emphasis on how the latter outperforms the former in large, sparse data. Comparative analysis shows that sFFT has far greater efficiency and noise tolerance, which is of value for network traffic analysis, astrophysical data analysis, and real-time medical imaging. The purpose of this paper is to provide clarity regarding these transformations and their relationship to being paradigms in modern signal analysis.
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism
Authors: Tian Qiyuan , Wang Zhuoyue , Cui Xiaoling
Published: September 2024

In this paper, an improved model of medical image segmentation for brain tumor is discussed, which is a deep learning algorithm based on U-Net architecture. Based on the traditional U-Net, we introduce GSConv module and ECA attention mechanism to improve the performance of the model in medical image segmentation tasks. With these improvements, the new U-Net model is able to extract and utilize multi-scale features more efficiently while flexibly focusing on important channels, resulting in significantly improved segmentation results. During the experiment, the improved U-Net model is trained and evaluated systematically. By looking at the loss curves of the training set and the test set, we find that the loss values of both rapidly decline to the lowest point after the eighth epoch, and then gradually converge and stabilize. This shows that our model has good learning ability and generalization ability. In addition, by monitoring the change in the mean intersection ratio (mIoU), we can see that after the 35th epoch, the mIoU gradually approaches 0.8 and remains stable, which further validates the model. Compared with the traditional U-Net, the improved version based on GSConv module and ECA attention mechanism shows obvious advantages in segmentation effect. Especially in the processing of brain tumor image edges, the improved model can provide more accurate segmentation results. This achievement not only improves the accuracy of medical image analysis, but also provides more reliable technical support for clinical diagnosis. To sum up, the improved U-Net model based on GSConv module and ECA attention mechanism proposed in this paper provides a new solution for brain tumor medical image segmentation, and its superior performance helps to improve disease detection and treatment effects, which is of great significance in related fields. In the future, we hope to further explore the application potential of this method in other types of medical image processing to advance the development of medical imaging.
Research on the application and prospects of variable reluctance inductive sensors
Authors: Zhao Yian
Published: September 2024

Variable reluctance inductive sensors are extensively utilized in the industrial field due to its unique working mechanism and good performance characteristics. Based on the working principle of Variable Reluctance Inductive Sensors, this paper reviews its development history, application in industrial automation and medical industry. Through the analysis of variable reluctance inductive sensors, variable reluctance inductive sensors have the advantages of high sensitivity, low cost and reliability which can support its wide application in precision measurement, position detection and motion control, but it is susceptible to the interference of the external magnetic field and the influence of the temperature which limits its development space and scope. However, the advancement of new materials, intelligent technologies and multi-mode integration has broadened the potential of future development of sensors and created more challenges for the development of variable reluctance inductive sensors. The update of new research conditions also provides a valuable reference of research and application in related fields
Study on UV-Curable Acrylic Clear Viscoelastic Materials with Grafted Structures
Authors: Liu Junqi
Published: September 2024

Flexible substrates are crucial for wearable electronic strain sensors, but achieving biocompatibility, low cost, and aesthetic appeal alongside good mechanical performance remains challenging. Acrylic-based clear viscoelastic films (CVFs) are gaining attention due to their excellent transparency and potential for enhanced mechanical properties. This study synthesized copolymers CVF1-4 with varying branch content using soft monomers 2-ethylhexyl acrylate (2-EHA), butyl acrylate (n-BA), and functional monomer acrylic acid (AA). Employing a "grafting-through" strategy, small molecule monomers, ATRP-synthesized oligomer pBA25, and photoinitiator 1,6-hexanediol diacrylate (HDDA) were in-situ polymerized under UV light to form transparent, flexible elastic films CVF1-4. Between -20 to 80 C, CVF1-4 demonstrated excellent mechanical properties such as low modulus (in the kPa range), low glass transition temperature (below -20 C), large deformation (500-600%), and high strain recovery rate (>95%). Among them, CVF3 with 15% branching showed a balanced comprehensive performance, exhibiting primarily elastic behavior at room temperature. Therefore, selecting appropriate molecular composition and grafting structure provides a simple and customizable solution for optimizing CVF properties.
Exploration on the improvement of EEG dataset collection and preprocessing methods based on neuroscience theory
Authors: Yang Yucheng
Published: September 2024

This paper analyzes current methods of EEG dataset collection and preprocessing within the framework of neuroscientific theories and proposes potential improvements. Existing datasets are limited because they primarily capture specific stages of neural activity during continuous recitation, missing other crucial stages of language generation. This limitation impacts the performance of deep learning models used for EEG data classification. By examining the multi-stage process of language formation, the paper highlights the need for data collection methods that encompass all stagesconceptualization, grammatical encoding, lexicalization, morphological and phonological encoding, and articulation. The review also discusses the benefits of using nonlinear dynamic system analysis methods over traditional covariance or cross-correlation matrices to better capture the complexities of EEG data. Finally, it suggests treating EEG data at various stages of language formation as multimodal data, as a strategy to improve the comprehensiveness and practicality of EEG datasets, thereby enhancing the accuracy and practical application of EEG-based brain-computer interfaces.
BERT-based log exception detection algorithm LADB
Authors: Zhao Ruochun , Zhang Meng
Published: September 2024

With the development of information systems, they have become increasingly large and complex and have generated a large amount of log information. These log information records the system's health, but the number of log information is huge, and the traditional exception detection algorithm in the case of very large amounts of data is difficult to efficiently and accurately detect anomalies due to poor generalization performance. A BERT-based log anomaly detection algorithm, LADB, is proposed, essentially a semi-supervised, multi-classification algorithm. (1) LADB uses the Transformer encoder as the base component for problems such as feature degradation and gradient explosion. (2) In order to make better use of the bidirectional context, and in view of BERT's excellence in the NLP field, the Masking Log Key Prediction (MLKP) self-monitoring task was designed, drawing on the idea of BERT's Masking Language Model. (3) In order to solve the problem of difficult and slow processing of high-dimensional data, the Deep SVDD algorithm is used for minimum superspheres capacity (VHM) self-supervision training task. Experiments have shown that LADB's combined performance is superior to the four representative log anomaly detection algorithms.
An analysis of machine learning's role in stock price prediction
Authors: Meng Xiang
Published: September 2024

The volatility and uncertainty of the stock market can reflect the economic trends of today's society. With the improvement of computing power and the development of data processing, it has been found that machine learning can improve the accuracy, flexibility and interpretability of stock price predictions. To conduct an in-depth study, this paper introduces three methods in machine learning: neural networks, support vector machines and random forest. These three algorithms can predict the stock market from multiple perspectives, complementing each others weaknesses. The results show that, while neural networks tend to overfit, random forests are resistant to overfitting. By combining neural networks with random forests, researchers can enhance prediction accuracy. Additionally, the random forest algorithm has strong data processing capabilities, and it can effectively address the issue of low computational efficiency in the support vector machine algorithm.
2023 American Academy of Orthopaedic Surgeons Management of Osteoarthritis of the Hip Evidence-Based Clinical Practice Guideline: Case Studies
Authors: Nandi Sumon , Hannon Charles P. , Fillingham Yale
Published: September 2024

The American Academy of Orthopaedic Surgeons, together with The Hip Society, American Association of Hip and Knee Surgeons, American College of Radiology, and American Physical Therapy Association, recently released the updated 2023 Management of Osteoarthritis of the Hip Evidence-Based Clinical Practice Guidelines. 8 recommendations and 9 options comprise these guidelines intended to optimize treatment outcomes in a patient population that is growing exponentially over time. In this article, we present case studies that illustrate utilization of the clinical practice guideline workgroup's evidence-based recommendations in clinical practice.
Job Satisfaction of Career Service Providers in Qatar
Authors: Naimi Hamda Al
Published: September 2024

Job satisfaction has a great influence on the performance of organizations. It enhances the employees’ engagement and commitment towards their organization. Therefore, this research focuses on the job satisfaction of career service providers (CSPs) in Qatar. This field played a crucial role in facilitating successful career outcomes for individuals. This study mainly focuses on salary, job facilities, job security, work environment, administrative discretion, and community appreciation to assess the level of job satisfaction in career service providers. A quantitative research approach was used to collect data from 300 career service providers in Qatar. A structured questionnaire was designed and SPSS used to analyze the data statistically. The findings suggest that Qatari employees generally express high satisfaction with human resource practices, skill development, and overall well-being. However, the research identifies areas such as professional development opportunities, workplace culture, and cultural nuances that require more in-depth exploration. The study concludes by emphasizing the need to develop contextually relevant strategies for improving job satisfaction, retention, and career progression for CSPs in Qatar. The findings of the study inform organizational development and human resource practices to enhance the overall effectiveness of career services in the unique cultural context of Qatar.
Can Faith be the Key to Environmental Stewardship and Sustainable Development in Nigeria?
Authors: Isaac Ubong , Oripeloye Hassan , Adejo Victor
Published: September 2024

Nigeria confronts a dual challenge: pressing environmental degradation and the urgent need for sustainable development. This research explores the underutilized potential of religious institutions, a powerful force in Nigerian society, to champion environmental responsibility. Utilizing Social Ecology theory, the study examines the current engagement of religious bodies through interviews and a targeted survey of 390 participants. The findings reveal a critical need for collaboration between religious institutions, government, and civil society. Overcoming identified barriers is essential for progress. A significant portion (72%) of respondents highlighted a lack of environmental awareness within their communities, while nearly half (46.5%) cited insufficient government support and funding as roadblocks. This study proposes a novel approach: leveraging the moral authority and extensive community networks of religious institutions. The research underscores that there is need for urgent unified action. The paper argues that by addressing environmental challenges through collaborative efforts, religious institutions, government, and civil society can secure a sustainable future for all Nigerians. This study offers a beacon of hope, suggesting that faith-based solutions can be a powerful force for positive environmental change in Nigeria and even to third world nations that are grappling with this challenging phenomenon.
Valued Living, Fulfilled at Work: Investigating Job Satisfaction and Associated Psychological Processes Among Physicians
Authors: elik Z , l Okan , Ulusoy Sevin
Published: September 2024

Objective: Job satisfaction of physicians is closely related to patient satisfaction, the quality and efficiency of medical care, and the enhancement of physicians' well-being. While there is a consensus on the global rise in job dissatisfaction among physicians, most studies in this field have primarily concentrated on the association between job satisfaction and depression, burnout, and work productivity. The number of studies examining the relationship between psychological processes and job satisfaction is limited. This study aimed to examine the impact of self-esteem, thwarted belongingness, and values on job satisfaction among medical professionals.
Methods: A total of 196 physicians, aged between 18 and 65, who were working in state or private hospitals all over Turkiye at the time of the study (between December 2022 and February 2023), were included in this cross-sectional study. Data were collected using a sociodemographic form, Valuing Questionnaire (VQ), Interpersonal Needs Questionnaire (INQ), Rosenberg self-esteem scale (RSES) and Job satisfaction scale (JSS).
Results: A positive correlation was found between job satisfaction (JSS) and valued living (VQ) (r=0.621; p<0.001), while negative correlations were found between thwarted belongingness (INQ-TB) (r=-0.352; p<0.001) and self-esteem (RSES) (r=-0.400; p<0.001). Multiple linear regression analyses demonstrated that VQ and work experience are significant predictors of Job Satisfaction (JSS) (p < 0.001, R² = 0.449). Conclusions: Findings of this study highlight the crucial role of personal values and work experience on job satisfaction. Incorporating personal values into future interventions is vital for enhancing job satisfaction among physicians.
The Effect of Laughter Therapy on General Health Status, Sleep Quality, and Stress Level of Nursing Students: A Randomized Controlled Trial
Authors: Asil Elif , lu Hasibe
Published: September 2024

Background: University students are at a heightened risk for mental health issues. This study aimed to evaluate the impact of laughter therapy on the mental health, sleep quality, and stress levels of nursing students.
Methods: This randomized controlled experimental study was conducted among first- and second-year nursing students at a university in Turkey between February and May 2021. Block randomization was utilized to assign 70 students (35 in the experimental group and 35 in the control group) to the study. The experimental group participated in eight 45-minute online laughter therapy sessions. Data were collected using the Introductory Information Form, General Health Questionnaire-28, Pittsburgh Sleep Quality Index, and Perceived Stress Scale. Mann-Whitney U Test was employed for intergroup comparisons, while the Wilcoxon Signed Rank Test was used for intragroup comparisons. Categorical data were analyzed using the chi-square test.
Results: There were no statistically significant differences between the experimental and control groups in the pre-test scores for the Perceived Stress Scale, General Health Questionnaire, and Pittsburgh Sleep Quality Index (p> 0.05). However, post-test scores indicated significant improvements in the experimental group (p<0.001), demonstrating that laughter therapy was effective in enhancing perceived stress, general health status, and sleep quality (r ≅0.50).
Conclusion: Laughter therapy has beneficial effects on mental health, sleep quality, and perceived stress. It is recommended that school health nurses integrate laughter therapy into health promotion and protection strategies to increase its utilization.
Research on Random Forest Model and Support Vector Machine Model in Financial Risk Early Warning of Listed Companies
Authors: Liu Jingting , Zhang Haixin , Han Yu , Zheng Qian
Published: September 2024

On October 30, 2023, the Central Financial Work Conference was held in Beijing. One of the important contents of the meeting was to prevent and control financial market risks. Because the sustainable development of a company is closely related to the financial market , the company faces increasing financial risk challenges , and it is particularly urgent to establish and optimize an effective financial risk early warning mechanism. The establishment of a financial crisis early warning model can not only enable company managers to adjust the company's development strategy and direction in a timely manner, improve the company's performance, and reduce the company's financial risks, but also predict corporate financial crises, which can help investors evaluate the company's potential value and change the direction of investment. This paper takes the establishment of random forest model as the starting point . First, we understand the theoretical framework of financial risk of listed companies; second, we explain the theoretical basis and advantages of establishing random forest model; then, we deeply explore the theory and empirical analysis of risk indicators; then, we use support vector machine in the specific application of financial risk warning; finally , we get the theoretical analysis and empirical significance of its feature importance, as well as the limitations and future research directions of the method under the fusion of random forest model and support vector machine.
The Temporal and Spatial Analysis and Assessment of Water Quality in the Tuo River (Suzhou Section) based on the CCME-WQI Method
Authors: Huang Longtao , Zhou Feng , Jiang Dengling
Published: September 2024

To investigate the spatiotemporal variations and disparities in water quality within the Suzhou section of the Tuo River, as well as to identify the key pollution factors and influencing elements, this study utilized monitoring data from five water quality monitoring stations along the Tuo River in Suzhou, collected between 2020 and 2022. After analyzing the spatiotemporal variations in water quality indicators, the Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI) was employed to assess the river's water quality status. The study also examined the causes of water pollution and proposed appropriate pollution control measures. The research results indicate that:(1) Total Nitrogen (TN), Chemical Oxygen Demand (COD), Permanganate Index (CODMn), and Fluoride (F) were identified as the main pollution factors, with COD and TN being the primary pollutants exceeding standard limits, with exceedance rates of 55.66% and 37.14%, respectively;(2)From 2020 to 2022, the concentrations of CODMn, COD, and TN were significantly higher during the flood season compared to the non-flood season, suggesting that non-point source pollution is the major contributor to the pollution load;(3)Temporally, the study area exhibited significant seasonal variations in water quality, with water quality being better during the non-flood season than during the flood season. Spatially, the study area showed notable spatial differences in water quality, with the S1 monitoring station recording the poorest water quality, while the S3 station exhibited the best;(4)The water quality of the Tuo River was significantly influenced by precipitation, with increased rainfall during the flood season exacerbating urban runoff, agricultural non-point source pollution, and internal pollution within the river channels.
Review of Coordinated Control Strategies for Urban Arterial Road
Authors: Wu Yinfang , Zhang Lin
Published: September 2024

Urban arterial coordinated control strategy is an effective way to alleviate urban traffic congestion. The current urban coordinated control methods can be divided into maximum green wave band method and minimum performance index method. This paper, two different coordinated control methods are reviewed, and the advantages and disadvantages of urban road arterial coordinated control methods are analyzed, and the future research direction in this field is prospected.
Problem Encountered by the Students in Speaking English at English Students of Baturaja University
Authors: Andini Putri , Novarita Novarita , Afifah Nurul
Published: September 2024

This research analyzes the problems faced by students of the English language education study program at Baturaja University, in speaking English. This type of research is descriptive qualitative using a survey approach. The sample in this study consisted of 48 students including the second semester with 26 respondents and the fourth semester with 22 students as respondents. Data was collected through a questionnaire using Google Form which was then distributed online via WhatsApp groups for each respondent class. It consist 20 statement with 2 indicator, namely: linguistic problems and psychology problems. The researcher used four point of likert scale for analyzing the data recapitulation, The researchers found two problems faced by students when speaking English, including linguistic problems and psychological problems. The results research show that 28,13% strongly agree, 46,2% agree, 20,01% disagree, 5,64% strongly disagree of students have linguistic problems in speaking English with the highest cause being lack of vocabulary. Meanwhile, regarding psychological problems, based on research resultsresearch show that 19,4% strongly agree, 46,2% agree, 20,01% disagree, 5,64% strongly of students have psychology problems in speaking English with the highest cause being lack of self-confidence. Thus, it can be seen that the most dominant causing problems in speaking English among students is linguistic problems.
HIGH SCHOOL STUDENTS` READING ABILITY ON ENGLISH SUBJECT
Authors: Yeni Selvi , Anggeraini Yentri , Lastri Neti
Published: September 2024

The purpose of this paper was to determine students’ ability in reading comprehension of recount text at eighth grade of SMP Al-Azhar 53 Baturaja. The method of the study used descriptive qualitative research. The sample of the research consisted of eighth grade students from VIII A and VIII B, totaling 31 students. The researchers delivered try out to non sample which include 30 questions in multiple choice. After the tryout, 25 questions were valid and they were used for gathering the data. Based on the findings, the results of the student scores were as follows: 9 respondents had achieved a very good score (80-100%), 7 respondents had achieved a good score (66-79%), 3 respondents had achieved a fair score (55-65%), 4 respondents had achieved a poor score (41-54%), and 8 respondents had achieved a failing score (00-40%). Based on the mean score (62.9) In this research, it was found that students' reading comprehension of recount texts was fair. This was caused by difficulties faced by the students in three basic parts of recount text: orientation, events, and reorientation and students found that difficult to determine the sequence of events.
Kemampuan Siswa Sekolah Dasar Menulis Puisi Menggunakan Media Lagu
Authors: Awalludin Awalludin , Nilawijaya Rita , Contessa Emilia
Published: September 2024

Tujuan penelitian ini adalah untuk mendeskripsikan kemampuan siswa sekolah dasar menulis puisi menggunakan media lagu. Metode yang digunakan dalam penelitian ini adalah metode deskriptif. Teknik pengumpulan data yang digunakan adalah esai dalam bentuk menulis puisi, selanjutnya, teknik penganalisisan datanya adalah teknik persentase. Hasil penelitian menunjukkan bahwa siswa yang mendapat nilai 80—100 dengan kategori mampu sekali sebanyak 3 orang atau 12,5%, yang mendapat nilai 66—79 dengan kategori mampu sebanyak 12 orang atau 50,0%, siswa yang mendapat nilai 56—65 dengan kategori cukup mampu sebanyak 9 orang atau 37,5%, siswa yang mendapat nilai 46—55 dengan kategori kurang mampu 0 orang atau 0% dan siswa yang mendapat nilai 45 ke bawah dengan kategori gagal 0 orang atau 0%. Jadi, dapat disimpulkan bahwa siswa kelas V SD Negeri 6 Ogan Komering Ulu mampu menulis puisi dengan media lagu dengan baik. Selanjutnya, saran dalam penelitian adalah hendaknya guru mampu memilih dan menggunakan cara-cara yang tepat guna meningkatkan kemampuan menulis puisi siswa kelas V SD Negeri 6 Ogan Komering Ulu. Salah satu di antaranya adalah dengan menggunakan media lagu, untuk siswa agar dapat meningkatkan kemampuan dalam menulis puisi dengan sebanyak mungkin menyerap informasi yang berkaitan dengan hal itu dari berbagai sumber.
Pengaruh Penggunaan Media Teka Teki Silang Bergambar Terhadap Kemampuan Membaca Anak Pendidikan Anak Usia Dini Hafis Di Desa Pangkalan Gelebek
Authors: Suweno Intan , Sinaga Santa Iadayana
Published: September 2024

Penelitian ini bertujuan untuk menguji apakah terdapat pengaruh penggunaan media teka teki silang bergambar terhadap kemampuan membaca anak pendidikan anak usia dini hafis di desa pangkalan gelebak.  Adapun populasi dari penelitian ini berjumlah 12 orang anak. Pada penelitian ini yang menjadi sampel adalah siswa usia 5-6 tahun di PAUD Hafis yang berjumlah 5 orang anak. Metode Pre- Experimental Design desain penelitian One-group Pretest-Posttest Design. Teknik analisis data yang digunakan uji normalitas, uji homogenitas dan uji hipotesis. Berdasarkan hasil penelitian dan analisis data maka dapat disimpulkan bahwa terdapat pengaruh yang signifikan antara media teka teki silang bergambar terhadap kemampuan membaca anak. Hal ini terbukti dari hasil rata-rata posttest anak dengan menggunakan media teka teki silang bergambar lebih tinggi dibandingkan rata-rata pretest anak. Rata-rata nilai  posttest anak yang menggunakan media teka teki silang bergambar adalah 84 sedangkan nilai pretest yang tidak menggunakan treatment media teka teki silang bergambar adalah 58. Perolehan tersebut diperkuat oleh berdasarkan uji hipotesis menggunakan uji-t diperoleh thitung= 14,85  sedangkan dk = 15-1=14 dengan taraf nyata 5% ( sehingga didapat ttable=1,7613 maka kesimpulannya hipotesis nihil (Ho) ditolak dan Hipotesis alternatif (Ha) diterima artinya ada pengaruh penggunaan media teka – teki silang bergambar dalam kemampan membaca anak usia 5-6 tahun Pendidikan Anak Usia Dini Hafis di Desa Pangkalan Gelebak.
Pengembangan Buku Lembar Kerja Sebagai Pedoman Media Untuk Menumbuhkan Pengetahuan Kosakata Bahasa Inggris Pada Anak Usia 5 Tahun di TK Matahari Palembang
Authors: Rachmawati Rachmawati
Published: September 2024

Penelitian ini bertujuan untuk mengetahui bagaimana buku LKA membantu mereka belajar kosa kata bahasa Inggris saat anak usia 5 tahun di TK Matahari Palembang.  Masalah penelitian ini ialah bagaimana mengembangkan buku lembar kerja buat anak usia 5 tahun di TK Matahari Palembang sebagai bahan ajar untuk mengembangkan kosa kata bahasa Inggris. Subjek penelitiannya kelas B3, dimana populasi berjumlah 32 anak dan sampel 11 anak. Metode (Research and Development/ R&D). Hasil penelitian yaitu Pada uji validitas dan uji lapangan ditetapkan bahwa pembuatan lembar kerja di TK Matahari Palembang untuk meningkatkan pengetahuan kosa kata bahasa Inggris anak usia dini layak bagi pendidikan anak usia dini, Lembar kerja yang dirancang untuk meningkatkan pengetahuan kosa kata dalam bahasa Inggris telah diujicobakan kepada anak-anak berusia lima tahun di TK Matahari Palembang dan terbukti layak digunakan dalam pembelajaran bahasa Inggris.
Analisis Aspek Sosial dalam Novel Cinta Suci Zahrana Karya Habiburrahman El-Shirazy dan Relevansinya Terhadap Pembelajaran Sastra
Authors: Erwanto Erwanto , Agustina Aryanti
Published: September 2024

Tujuan penelitian ini adalah Mendeskripsikan aspek sosial yang terdapat dalam novel Cinta Suci Zahrana  karya Habiburrahman El Shirazy dan relevansinya terhadap pembelajaran sastra. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan sosiologis. Sumber data dalam penelitian ini adalah novel Cinta Suci Zahrana karya Habiburrahman El Shirazy. Berdasarkan hasil analisis novel dalam kajian  aspek sosial terdapat, 1) Hubungan Manusia dan Cinta Kasih,  a) Cinta Kasih Kepada Allah, b) Cinta Kasih Orang Tua, c) Cinta Kasih Sesama Manusia. 2) Hubungan Manusia dan Keadilan diantaranya a) Kejujuran dan Kebenaran, b) Kecurangan, c) Pemulihan Nama Baik, dan d) Pembalasan. 3) Hubungan Manusia dan Tanggung Jawab diantaranya, a) Tanggung Jawab Terhadap Keluarga, b) Tanggung Jawab Kepada Masyarakat, c) Tanggung Jawab Kepada Bangsa dan Negara, d) Tanggung Jawab Kepada Tuhan. Jadi dapat disimpulkan bahwa novel Cinta Suci Zahrana karya Habiburrahman El Shirazy untuk dijadikan sebagai materi pembelajaran sastra di SMA. Aspek sosial yang terdapat dalam novel Cinta Suci Zahrana karya Habiburrahman El Shirazy tersebut dapat dijadikan sebagai materi pembelajaran sastra di SMA, karena dapat memberikan pembentukan nilai positif bagi  peserta didik untuk menjadi pribadi yang lebih baik.