bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH BUDAYA PERUSAHAAN TERHADAP DAYA TARIK CALON KARYAWAN DALAM PROSES REKRUTMEN
Authors: Suwandi  , Krisdayanti  , Anika Nunik Alfiany
Published: January 2025

Penelitian ini bertujuan untuk mengkaji pengaruh budaya perusahaan terhadap daya tarik calon karyawan dalam proses rekrutmen. Latar belakang dari penelitian ini berfokus pada pentingnya culture fit antara perusahaan dan calon karyawan dalam memilih tempat kerja, mengingat daya saing perusahaan yang semakin ketat dalam menarik talenta terbaik. Dalam dunia kerja modern, calon karyawan tidak hanya mempertimbangkan aspek finansial, tetapi juga budaya perusahaan yang mendukung kesejahteraan dan perkembangan pribadi. Metode yang digunakan dalam penelitian ini adalah pendekatan kuantitatif dengan 45 responden yang dipilih secara purposive. Data dikumpulkan melalui kuesioner yang mengukur persepsi responden terhadap berbagai aspek budaya perusahaan yang meliputi keterbukaan, inovasi, keberagaman, dan keseimbangan kerja dan kehidupan pribadi. Hasil penelitian menunjukkan bahwa 85% responden menganggap budaya perusahaan sebagai faktor utama yang memengaruhi keputusan mereka untuk melamar pekerjaan. 70% responden menyatakan bahwa mereka lebih tertarik untuk bergabung dengan perusahaan yang memiliki keselarasan nilai pribadi dengan budaya perusahaan, sedangkan 65% lainnya menganggap kebijakan work-life balance dan remote work sangat penting dalam memilih perusahaan. Penelitian ini mengindikasikan bahwa perusahaan yang mengedepankan budaya inklusif, memberikan dukungan terhadap pengembangan karir, serta menawarkan fleksibilitas waktu akan lebih mampu menarik calon karyawan. Oleh karena itu, penting bagi perusahaan untuk membangun dan mengkomunikasikan culture fit yang sesuai dengan harapan calon karyawan untuk memenangkan persaingan dalam merekrut talenta terbaik.
Prevalence of Bacterial Pathogens and Antibiotic Susceptibility in Wound Infections: A Microbiological Study
Authors: Kumari Payal , Bhattacharyya Sayan
Published: January 2025

Infections due to antibiotic resistant bacteria have increased alarmingly in both developed and developing countries. Unrestrained and rapidly spreading bacterial growth has turned the management of wound infection into a serious challenge. This study aimed to determine the prevalence of different bacterial pathogens and their antibiotic susceptibility in various types of samples sent to the microbiology laboratory.

A study was conducted on 110 samples collected in forms of swabs and culture. All isolated bacteria were identified based on colony characteristics, Gram staining and standard biochemical tests and antibiotic susceptibility testing with the Kirby- Bauer test, known as the disc diffusion method. This method relies on the inhibition of bacterial growth measured under standard conditions. Several statistics and pie charts are used to present observation of the study.

The rate of isolation of bacteria was 100% from the samples collected from different sites of different patients. Staphylococcus aureus (50.91%) was found to be the most frequent isolate, followed by Escherichia coli (24.55%), Pseudomonas species (10.91%), klebsiella species (5.45%), Streptococcus pyogenes (5.45%), Proteus species (2.73%).

Gram-positive where mostly found sensitive to antibiotics imipenem, gentamycin, ceftriaxone vancomycin, Azithromycin in the study. Gram-negative where mostly found sensitive to ceftazidime, Ceftriaxone, gentamicin.

The diversity of isolated bacteria and their susceptibility patterns signify a need to implement a proper infection control strategy which can be achieved by carrying out antibiotic sensitivity test of the isolates.
MAQASHID AL-SYARI‘AH SEBAGAI INSTRUMEN PEMBARUAN FIQH SOSIAL KONTEMPORER
Authors: Muhaki Muhaki , Aziz Husein
Published: January 2025

Kondisi sosial yang terus berubah membutuhkan respon fiqh, namun fiqh sosial yang ada sering kali terjadi paradog antara tuntutan sosial dan justifikasi fiqhnya. Pada konteks kontemporer, agenda pembaruan fiqh sosial berdasarkan revitalisasi maqashid al-syari‘ah Ibnu ‘Ashur memiliki urgensi, karena relevan dengan dinamika sosial yang terus berubah.
Permasalahan: Pertama, bagaimana maqashid al-Syariah dalam pemikiran hukum Islam Ibn Asyur? Kedua, bagaimana konsep pembaharuan fiqh berdasarkan prinsip-prinsip maqashid al-Syariah Ibn ‘Asyur? Ketiga, bagaimana implemetasi maqashid al-syariah sebagai instrumen pembaharuan fiqh sosial yang relevan dengan problematika kontemporer?
Melalui pendekatan deskriptif-analitis terhadap pemikiran Ibnu Ashur, penelitian ini menemukan: Pertama, Maqashid al-Syariah secara aksiologis merupakan tujuan hukum Islam bersifat daruriyyah yang dapat digunakan untuk mewujudkan kemaslahatan manusia, dan secara epistemologis adalah prinsip-prinsip universal yang dapat di implementasi dalam berbagai problematika sosial dan fiqh. Kedua, Pembaruan fiqh berdasarkan maqashid adalah untuk memahami, merumuskan, dan menerapkan hukum Islam untuk menjamin kemaslahatan manusia, adaptif terhadap perubahan zaman, inklusif dan solutif bagi seluruh problem umat manusia. Ketiga, Maqashid al-syariah sebagai instrumen pembaharuan fiqh sosial kontemporer dipertimbangkan sebagai kerangka kerja utama yang dapat menjembatani antara teks-teks syariat dengan kebutuhan masyarakat kontemporer dan fleksibel dalam merespons isu-isu kontemporer, tidak hanya relevan untuk umat Islam tetapi memberikan kontribusi positif bagi masyarakat global di era kontemporer.
Perkembangan Kemampuan Berbicara Melalui Metode Bermain Peran Pada Anak Usia Dini
Authors: Aminah Siti , Aina Intan Maulida Qorry’
Published: January 2025

Perkembangan berpikir anak-anak usia Taman Kanak-kanak atau prasekolah sangat pesat. Salah satu kemampuan anak yang sedang berkembang saat usia Taman Kanak-kanak adalah kemampuan berbahasa. Penguasaan berbahasa  sangat erat kaitannya dengan kemampuan kognisi anak. Sistematika berbicara anak menggambarkan sistematikanya dalam berpikir. Di taman kanak-kanak, guru merupakan salah seorang yang dapat  mempengaruhi perkembangan bahasa anak. Guru Taman Kanak-Kanak harus dapat mengupayakan berbagai strategi pembelajaran yang dapat mengembangkan kemampuan bahasa anak. Salah satunya melalui kegiatan bermain peran yang dapat melibatkan penggunaan bahasa anak. Penelitian ini dilaksanakan di TK Islam Terpadu Permata Surabaya pada tahun ajaran 2021/2022. Metode penelitian yang digunakan adalah penelitian kualitatif yang menghasilkan dan mengolah data yang sifatnya deskriptif, seperti transkripsi wawancara , catatan lapangan, gambar, foto rekaman video dan lain-lain. Hasil penelitian meunjukkan perkembangan bahasa  anak usia dini pada pertemuan pertama dan kedua, dapat disimpulkan bahwa kemampuan berbicara anak melalui metode bermain peran pada pertemuan pertama belum terlalu terlihat baik dikarenakan anak anak masih baru mengikuti kegiatan pembelajaran menggunakan metode tersebut. Namun, dan pada pertemuan kedua kemampuan berbicara anak semakin berkembang dikarenakan anak anak sudah mengenal kegiatan yang dilakukan dengan bermain peran serta disertai adanya motivasi dan tingkat kepercayaan diri. Selain itu, berdasarkan hasil observasi, implementasi metode bermain peran pada anak kelompok B TK Islam Terpadu Permata Surabaya tahun ajaran 2021/2022  yang dilakukan dalam penelitian ini sudah sesuai dengan prosedur yang ada dalam rancangan pembelajaran
Pengaruh Media Pembelajaran Sains Rainbow Walking Water Terhadap Kemampuan Mengenal Warna Anak Usia 5 - 6 Tahun Kelas B Di TK NU Nurul Jannah
Authors: Syahid Ishaq
Published: January 2025

Pembelajaran sainsuntuk anak usia dini merupakan upaya menumbuhkan kemampuan berfikir yang memerlukan peran serta orang tua, guru dan peserta didik itu sendiri. Guru cenderung bingung mencari media pembelajaran yang tepat dalam menyampaikan pemahaman tentang pembelajaran sains. Penelitian ini merupakan penelitian kuantitatif, Subyek penelitian sebanyak 25 orang anak kelas B yang merupakan sampel bagian dari populasi dari 31 orang. Hasil penelitian Penerapan media pemebelajaran sains rainbow walking water di TK  NU Nurul Jannah sudah cukup baik dengan prosentase sebesar 41,6%. Sedangkan kemampuan anak dalam mengenal warna tergolong sudah berkembang sesuai harapkan (BSH) dengan prosentase sebesar 42,4%. Sedangkan analisis data tentang penggunaan media pembelajaran sains rainbow walking water terhadap kemampuan anak dalam mengenal warna memiliki pengaruh yang sangantinggihalinisesuai denga hasildari analasis data dengan product moment dengan n = 25 yang di korelasikan dengan harga “r” table dengan nilai kontrol signifikansi 10% = 0,505 dan taraf signifikansi 5%= 0,396. Sedangkan nilai “r” kerja yang diperoleh sebesar 0,937 yang artinya nilainya lebih besar pada harga kritik product moment baik taraf sinifikasi 10% maupun 5% pada table interprestasi berada pada nilai r = 0,800-1,00 yang menunjukkan antara variabel X dan Y terdapat implikasi yang sangat tinggi
Penanaman Nilai-nilai Agama Islam Terhadap Anak Pada Usia 3 - 6 Tahun Di Taman Kanak Kanak Lab STAI YPBWI Surabaya
Authors: Ma'ruf Ma'ruf
Published: January 2025

Di era modern ini pemahaman dan penerapan nilai-nilai agama atau sendi-sendi agama dirasa semakin berkurang, hal ini tercermin dalam beberapa aspek kehidupan masyarakat  Ketika anak meningkat usia kurang lebih tahun perkembangan intelektual dan daya pikir mereka telah sedemikian rupa, sehingga membutuhkan beberapa dasar-dasar ilmu pengetahuan Jika seorang anak taat beragama baru sampai pada taraf karena takut pada orang tua, guru agama, ingin penghargaan, dipuji dan lain-lainnya. Anak itu tidak perlu terburu-buru untuk dimarahi atau dihina, tetapi sebaiknya harus dibimbing terus agar sampai pada taraf kesadaran dirinya di dalam melakukan kegiatan keagamaan. Penelitian ini bertujuan untuk meneliti Penanaman Nilai-Nilai Pendidikan Agama Islam Terhadap Anak Pada Usia 3 - 6 Tahun. Metode Penelitian yang digunakan Dalam penelitian ini peneliti tidak hanya menggunakan rancangan deskriptif kualitatif tetapi juga menggunakan rancangan kuantitatif untuk memudahkan peneliti dalam mendeskripsikan hasil penelitian. (Mix Methods). Hasil penelitian ini yaitu (1) Menanamkan nilai agama pada anak di adalah dengan cara guru mengajarkan agama melalui beberapa metode di antaranya metode yang digunakan adalah metode cerita, karena dengan cara bertutur kata dalam menyampaikan pelajaran yang diberikan secara lisan, guru hendaknya dapat memusatkan kemampuan daya tangkap dalam berfikir anak didik.. (2) Bentuk kerjasama antara orang tua dengan guru di dalam menanamkan nilai-nilai agama dengan mengadakan pertemuan antara orang tua dengan guru saat pembagian raport serta dilanjutkan dengan dialog mengenai banyaknya persoalan yang terkait dengan proses belajar mengajar di sekolahNilai Agama Islam
Metode Edukatif Gaming pada Model Pembelajaran Blended Learning untuk Meningkatkan Hasil Belajar Siswa
Authors: Mahmud Amir , Wahyudi Mukhammad
Published: January 2025

Pembelajaran sekarang ini menuntut adanya inovasi dan transformasi, di masa transisi keadaan baru ini terlepas dari wabah penyakit biasa kita kenal dengan Covid-19 dampaknya dirasakan langsung dalam dunia pendidikan seperti halnya bebepa kebijakan baru untuk melaksanakan pembelajaran daring. Pada proses pembelajaran sini menggabungkan sebuah metode edukatif gaming sebagai penunjang dalam proses pembelajaran berlangsung. Dalam melaksanakan penelitian peneliti menggunakan metode Kurt Lewin yang meruapakan salah satu ciri dari penelitian tindakan kelas yang memiliki langkah tersetruktur dan terencana disetiap siklus, tahapan-tahapannya adalah perencanaan, pelaksanaan, observasi, dan refleksi. Hasil penelitian yang diperoleh adalah peneran model pembelajaran Blended learning yang digabungkan dengan metode edukatif gaming sebagai penunjung untuk meningkatkan hasil belajar siswa. Hal ditunjukkan dari hasil prsesntase yang kian meningkat pada siklus I aktivitas siswa senilai 65,9% meningkat sebanyak 75,73% pada siklus II. Untuk aktivitas guru pada siklus I senilai68,75% meningkat menjadi 76,25% pada siklus II. Untuk data nilai hasil belajar siswa pada siklus I senilai 75% pada pelajaran Bahasa Indonesia dan untuk pelajaran Ilmu Pengetahuan Alam (IPA) senilai 62% mengalami peningkatan pada siklus II senilai 87,5% pada pelajaran Bahasa Indonesia dan untuk pelajaran Ilmu Pengetahuan Alam (IPA) senilai 75%
Implementasi Metode Token Economy untuk Meningkatkan Kedisiplinan Anak Usia Dini Kelas A di RA Ta Kottah Daleman Galis Bangkalan
Authors: Alfiya Luluk
Published: January 2025

The background of this research is that educators find it difficult to find a way to encourage students in the teaching process, therefore educators have the initiative to develop children's learning with the token economy method so that children are more enthusiastic in learning because early childhood with prizes makes learning more intense. This research was conducted at RA Ta Kottah Daleman Galis Bangkalan and the type of research used qualitative research. The data collection method uses interview, observation, and documentation methods. The subjects of the study were educators and students at RA Ta Kottah in Daleman Village, Galis district, Bangkalan district. From the results of the discussions and research that has been carried out, the research has obtained a consensus that the early childhood learning process must be carried out creatively and funnily so that students can be more enthusiastic about the learning provided by educators. Meanwhile, the result of the analysis of data on early childhood discipline using the token economy method at RA Ta Kottah in Daleman Galis Bangakalan village is that there are benefits of discipline by using the token economy, it can make it easier for educators to create new ideas obtained through the token economy so that it can make it easier to improve children's discipline
The Relationship between Family Support and Emotional Regulation in Post-Stroke Disabled Patients in the Gesang Lumajang Community Health Center Work Area
Authors: Firmansyah Arif , Sasmiyanto  , Suryaningsih Yeni
Published: January 2025

Healing a patient after a stroke will have an impact on their emotional status. This study aims to analyze the relationship between family support and emotional regulation in disabled patients after stroke. This research uses a cross-sectional design. The population in this study was 45 patients with disabilities after stroke. The sample size in this study was calculated using the Slovin formula, so based on the population size, we obtained a sample size of 40 patients. Respondents were selected using random sampling techniques. The variables studied were family support as independent and emotional regulation as dependent. Data were collected using the Perceived Social Support Family Scale questionnaire and the Emotional Regulation Questionnaire. The results showed that family support for disabled patients after stroke was mostly good (45%), and emotional regulation for disabled patients after stroke was mostly good (57.5%). The close relationship between family support and emotional regulation is proven by the value r = 0.768; p = 0.01. The conclusion of this study is that there is a strong relationship between family support and emotional regulation in post-stroke-disabled patients. Family support is important for managing emotions. Good emotional regulation will increase the patient's adaptive response to the disease. The implication of this research is that the patient's adaptive response will make it easier for patients to improve their recovery in health services
Simbolisme Identitas Etnis dalam Politik Lokal: Analisis Kampanye Pilkades di Desa Triyoso, Kabupaten OKU Timur
Authors: Dias Azzahro  , Yulion Zalpa  , Ibrahim Mifthafariz Mirza
Published: January 2025

Penelitian ini bertujuan untuk mengetahui bagaimana penggunaan simbol identitas etnis dalam kampanye politik pilkades di desa Triyoso kabupaten OKU Timur tahun 2014. Teori yang digunakan dalam penelitian ini yaitu menggunakan teori dari tokoh politik identitas yaitu Agnes Heller yang mengatakan politik identitas sekedar untuk dijadikan alat memanipulasi untuk menggalang politik guna memenuhi kepentingan ekonomi dan politiknya. Metode pada penelitian ini yang digunakan adalah metode peneltian kualitatif, teknik pengumpulan data menggunakan observasi, wawancara dan dokementasi. Hasil penelitian ini menunjukkan bahwa penggunaan simbol etnis untuk strategi politik dalam kemenangan kepala desa sangat tepat dikarenakan masayarakat di desa Triyoso mayoritas orang Jawa. Jadi dapat disimpulkan bahwa penggunaan simbol etnis dengan menggunakan simbol bahasa yaitu menggunakan bahasa Krama Jawa, bahasa Ngoko, bahasa Komering dan simbol atribut menggunakan pakaian batik khas Jawa dan baju muslim batik pria dapat mempengaruhi warga sekitar untuk mendapatkan suara dan dukungan. Simbol bahasa menunjukkan bahwa lebih menarik simpati masyarakat.
Research on Memristor-Based Neural Networks
Authors: Ling Haozheng
Published: January 2025

Memristors, a new kind of resistive device, have attracted considerable attention in recent years because of their nonvolatile nature, low energy consumption, and highly integrated performance. The key theory of the memristor is described, and its application in the structure of neural networks and arithmetic optimization is discussed. First, the fundamental models and operating properties of the memristor are evaluated, with emphasis on its voltage, current, and time variations. This paper reviews the performance of a variety of models based on the concept of memory, which can be used to reduce energy consumption and improve computation efficiency. Additionally, advancements in memristor technology that enhance the scalability and reliability of neural network architectures are explored. An optimal combination of pruning and quantizing is presented, which can greatly decrease the amount of data required by the neural network. Results show that the memristor has great potential to generate high performance, low power, and high efficiency in artificial intelligence applications, making it a promising component in the future of computing technology.
Depression Tendency Processing Based on LSTM Technique for Text Emotion Recognition
Authors: Gao Minhao
Published: January 2025

Depression is a common mental disorder that can lead to suicide in specific severe cases. A large number of suicides occur each year due to a lack of timely observational attention and treatment worldwide. This paper indicates that social media posts should be monitored for implicit depression and categorized immediately to reduce the risk of suicide and improve public mental health. In the data preprocessing, the NLTK library is used to slice the labeled social media text collected from Kaggle. Words not relevant to sentiment analysis are deleted. Words from sentiment lexicon can represent the positive and negative and filter the noise. The original data was randomly divided into training set(70%) and prediction set(30%). In the machine learning stage(for classification results and evaluation), a bidirectional LSTM mode( used to solve the problem of gradient explosion or disappearance from the preamble text.)l is used. The accuracy, precision, recall and F1-score are 72.85%, 73.88%, 72.37%, 73.12%. They can be components of confusion matrix to evaluate the model. It is difficult for CNN algorithm to capture good n-gram feature results. The quality of the model can be improved by using higher quality and larger numbers of datasets and noise handling, perfecting a better sentiment lexicon and adjusting model parameters, to prevent overfitting. Finally, the most suicidal users(top 3.6% high score) in the text to prevent the tragedy of suicide can be found and more attention to public mental health and safety should be paid.
Impacts of Drinking Water Quality on Housing Prices
Authors: Huang Huili
Published: January 2025

Real estate and the housing market are vital for the U.S. economy, with factors such as economic growth, interest rates, government policies, and subsidies influencing housing prices. This paper will be focusing on the drinking water quality on housing prices by employing the existing researches of different methodologies. Hedonic property value analysis and production function have been used to assess the worth of environmental assets. One research has developed a household production function model that demonstrates that the economic value of system enhancements depends on the costs incurred by households in treating piped water, the availability of alternative options, and the feasibility of relocation. Another residential sorting model was adapted to identify variables influencing the relationship between piped water quality and house price. A natural experiment design found that land and property values increase in close proximity to unpolluted water bodies compared to polluted ones. The significance of this paper is to provide valuable insights for both homeowners and policymakers, as well as to help in making informed decisions regarding infrastructure development and urban planning to ensure access to safe and clean drinking water for all residents.
The Relationship between Supernova Explosions and Black Hole Formation
Authors: Wang Yiting
Published: January 2025

The interaction between supernova explosions and black hole formation is a significant study in astrophysics, explaining the map of cosmic evolution. This study delves into the late stages of a star's life cycle, the evolution of white dwarfs and neutron stars, and the early stages of black hole formation. Through the fusion of theory and data observation, the study has deepened the understanding of stellar evolution cycles and revealed the complex process of black hole origin, as well as the internal and external conditions required for its formation (such as binary star systems with certain conditions). In addition, the study revealed that the principles of quantum mechanics are the foundation of celestial evolution, elucidating how the Pauli exclusion principle explains the transition from white dwarfs to neutron stars and ultimately to black holes based on stellar mass. By analyzing these phenomena, the profound connection between celestial evolution and the principles of quantum mechanics is emphasized, and this study helps to broaden the horizons of astrophysical exploration.
Based on the Principle, Application, and Future Development Direction of Synthetic Aperture Radar Technology
Authors: Li Haoyi
Published: January 2025

Synthetic Aperture Radar (SAR) originated from military needs during the Second World War. Today, this technology has become an important tool for Earth observation in many fields, including environmental monitoring, military reconnaissance, resource exploration, disaster monitoring, agricultural applications, marine research, and urban management. This article will elaborate on the basic principles of SAR, including its range and azimuth resolution, as well as the relevant techniques for carrier flight. At the same time, the progress of SAR technology in multiple research directions will be discussed, especially its application in earthquake disaster monitoring and rescue, geological exploration and resource exploration, agricultural monitoring and crop growth assessment, marine monitoring and environmental protection, urban planning, and land use, etc. Finally, the paper will also look forward to the future development of SAR technology and highlight its potential to advance geoscience research and practical applications.
Advances in Integrating GANs and NeRF for Image Generation and 3D Reconstruction
Authors: Qu Shaoyang
Published: January 2025

This paper investigates recent advancements in integrating Generative Adversarial Networks (GAN) with Neural Radiance Fields (NeRF) for image generation and 3D reconstruction. This integration is pivotal for significantly enhancing the quality of image and 3D scene generation across diverse applications, including medical imaging, virtual reality, animation, and film production. The objective of this study is to summarize and compare existing methods, providing both theoretical and methodological insights. A detailed analysis of various methods is conducted, focusing on their strengths and weaknesses in terms of image quality, multi-view consistency, style migration, and texture transfer. Experimental results across different datasets reveal that while these methods perform effectively within their respective application contexts, which generally face challenges related to high computational resource consumption, training complexity, and the need for extensive multi-view data. Despite these issues, significant progress has been made in enhancing image quality and 3D consistency. This study contributes valuable theoretical insights and offers practical guidance for future research. Future efforts should focus on developing more efficient algorithms, refining training techniques, and exploring applications in medical imaging, virtual reality, animation, and film production to advance image processing and computer vision technologies.
Research and Development of Silicon-Based Anode Materials for Lithium Ion Batteries
Authors: Dai Ouwei
Published: January 2025

Silicon, known for its high capacity, has become a key material in developing anodes for lithium-ion batteries (LIBs). However, the substantial increase in volume that silicon-based anodes undergo during the process of charging and discharging presents a significant obstacle. This expansion can lead to structural disintegration and loss of electrical conductivity. It also initiates undesirable parasitic reactions, all of which significantly reduce the cycle life of the battery. Consequently, these issues hinder the wider adoption of silicon in the commercial LIB sector. This comprehensive review synthesizes key advancements in silicon-based anode research, highlighting the latest trends and innovations. This investigation examines the intricate engineering of silicon lattices and the development of silicon-based composite materials, illuminating the advancement in the field of silicon anode technologies, encompassing hybrid materials like silicon integrated with graphite and those amalgamated with various metals. Additionally, it scrutinizes the lithium storage characteristics and the mechanisms at play in silicon/graphene and other silicon composites. The review concludes with a forward-looking exploration of the future trajectory of silicon-based materials, considering their potential for growth and integration within the field.
Development and Application of a Python Program Simulating the Orbit of a Lunar Probe
Authors: Fan Zhenming , Huang Zichen
Published: January 2025

This paper presents the development and application of a Python program designed to simulate the orbital trajectory of a lunar probe using the fourth-order Runge-Kutta (RK4) method, a method known for its accuracy and computational efficiency. The program models the entire journey of a lunar probe, from its initial launch on the Earth to its stable circular orbit around the Moon. By allowing users to input specific parameters for acceleration and deceleration phases, the program generates orbital paths relative to both the Earth and the Moon, offering valuable insights into mission planning and trajectory optimization. One significant application demonstrated in this paper is the simulation of the Chang’e 5 mission, China’s first lunar sample return mission. By incorporating Doppler data from Chang’e 5, the program effectively simulates the probe’s orbital path, highlighting its potential for future real-world lunar exploration missions. Despite some simplifying assumptions, such as treating the Earth as a perfect sphere and assuming instantaneous acceleration, the program provides a robust framework for simulating lunar probe trajectories with high accuracy and computational efficiency.
Research on heliostat field optimization model based on particle swarm optimization
Authors: Ding Feiyang , Wang Rongjing , Song Jiazheng , Qian Yuxin , Yang Xiaohan
Published: January 2025

In the face of the global demand for carbon reduction, the construction of new energy power system has become the key. The traditional power system is facing the pressure of transformation, and the innovative application of new energy technology is imminent. This paper establishes an optimal design model for a heliostat mirror field, aiming at the efficient use of solar energy and the improvement of heat collection efficiency and performance. The model reduces power generation cost and enhances market competitiveness by optimising the layout and tracking strategy. The research results not only promote the development of solar thermal power generation technology, but also provide a reference for other new energy projects, which is of great significance to achieve the goal of carbon peak and carbon neutrality.
Subway Passenger Flow Prediction Based on XGBOOST with Weather Factors
Authors: Qian Daiyu
Published: January 2025

Since the beginning of this century, subways have increasingly occupied a higher share of daily transportation in Chinese cities. The growing network traffic has imposed higher demands on operating companies. Therefore, accurate passenger flow prediction is crucial for operational management and precise service level matching. With the maturity of machine learning methods, there are numerous cases of using these methods for passenger flow prediction. However, the influence of weather factors has been underexplored, despite its impact on passenger travel. This paper uses an XGBoost training model to obtain data on subway passenger flow, weather, maximum temperature, and minimum temperature. It examines the influence of day of the week, weather, and temperature on subway passenger flow, while also scoring the importance of these factors. The results show that the minimum temperature is the most influential factor in the model. The final model's fit is indicated by an R-squared value of 0.79, which can achieve a certain degree of accuracy in passenger flow prediction.
Study on the Correlation Between Smoking, Drinking and Students' Academic Performance
Authors: Liu Zhengyang
Published: January 2025

The habits of students, with a focus on smoking and alcohol consumption, about their academic performance, is an essential area of study. The findings of this study will seek to fill a significant gap in recent empirical evidence concerning the issue at hand. For the research, data from student questionnaires and academic records were used, while correlation and regression analyses were done to test these relationships. The findings show that high smoking and drinking frequency is significantly associated with poor academic achievement. Hence, the finding underlines a call for specific interventions in promoting the health and educational outcomes of students. The updated empirical evidence in this study will be instrumental in updating the formulation of policies and interventions that might reduce the negative impacts of smoking and alcohol use on the academic achievements of students. The updated empirical evidence provided by this study will be instrumental in formulating policies and interventions aimed at reducing the negative impacts of smoking and alcohol use on students' academic achievements. Based on the results, it is concluded that reducing smoking and alcohol consumption among students can lead to better academic performance, highlighting the critical need for health promotion programs within educational institutions.
Design and Performance Optimization of Small Molecule Organic Photovoltaic Materials
Authors: Zhang Ao
Published: January 2025

In this article, researchers have investigated the design and capability optimisation of SMPS with a particular emphasis on increasing the efficiency of power transfer and developing new manufacturing techniques. Nowadays, the PV industry mostly depends on silicon base technique, but it has many advantages such as high cost, low flexibility and great environment impact. By comparison, the structure of small molecular materials is easily duplicated and has a promising future in the field of PV devices. In this paper, this paper present a discussion on how to increase energy conversion efficiency by using SMPS, as well as the high efficiency of all SMPS systems. In addition, this paper also proposes methods and theoretical frameworks for optimizing material structures using experimental design and machine learning. Not only do they contribute to the improvement of material properties, but they also provide significant theory and practice support for developing highly efficient PV devices.
Cajas de Ahorros del Ecuador: Un Enfoque desde la Perspectiva Financiera y Economía Popular y Solidaria
Authors: Proaño-Altamirano Gladys Elizabeth , Rosero-Jimenez Diana Andrea , Proaño-Altamirano Jenny Cecilia
Published: January 2025

The purpose of this study is to carry out a comprehensive diagnosis of savings banks in Ecuador, focusing on a bibliometric analysis and their role within the popular and solidarity economy. The analysis seeks to identify the strengths, weaknesses, opportunities and threats of these entities, offering recommendations that can improve their efficiency and sustainability within the country's financial system. The research employed a mixed descriptive-theoretical methodology, analyzing 436 savings banks through observation techniques and review of secondary sources. The results reveal that these savings banks play a key role in financial inclusion, especially in rural and low-income areas, promoting savings and investment in productive activities. Among their strengths are their trust and closeness to their members, as well as their commitment to the principles of the solidarity economy. However, important weaknesses are identified, such as limited operational and financial capacity, and deficiencies in administration and governance. The conclusions underline the importance of strengthening these institutions through improvements in their governance, training and regulatory frameworks. In addition, it is recommended to foster collaboration among savings banks to increase their impact on the popular and solidarity economy, thus promoting inclusive and sustainable economic development in Ecuador.
Simulation of Pollutants with Dry Deposition in the Stable Atmospheric Boundary Layer
Authors: Shekhu Moka , Kumar KN Anil , CL Venugopal
Published: January 2025

An unsteady atmospheric model represented in the atmospheric boundary layer over variable surface terrains. Here the pollutants are chemically reactive primary pollutants and are emitted from an elevated line source into a stable atmospheric boundary layer. The source of pollutants is considered as Floor function type. The time dependent model obtained through an analytical solution from a multiple Inverse Lap lace transform of the atmospheric diffusion equation with the parabolic diffusion coefficient (exchange coefficient) and the wind velocity taken to be of three different types’ viz. constant, constant shear and parabolic functions of vertical height. The pollutants considered to be of chemically reactive primary pollutants emitted from a time-dependent (floor function type) line source. In order to facilitate the application of the model the results for the general situation that includes chemical reaction rate, dry deposition rate & time dependent (floor function) line source incorporated in the mode.
Comprehensive Performance Analysis of Mobility Models and Routing Protocols in MANETs Using NS3 Simulator
Authors: Purnima Sahu  , Dr. Nidhi Mishra
Published: January 2025

Mobile Ad Hoc Networks (MANETs) are dynamic and infrastructure-less networks characterized by high mobility and changing topologies. This study evaluates the performance of three prominent routing protocols—Ad hoc On-Demand Distance Vector (AODV), Optimized Link State Routing (OLSR), and Zone Routing Protocol (ZRP)—across three mobility models: Random Waypoint, Gauss-Markov, and Manhattan Grid. The analysis considers key performance metrics: packet delivery ratio, energy consumption, and end-to-end delay.Results reveal that AODV is the most energy-efficient, with energy consumption ranging from 2.5 J to 2.7 J across models. OLSR, with its proactive routing mechanism, achieves the highest packet delivery rates (up to 520 PKT in the Random Waypoint model) but incurs higher energy consumption (3.8–3.9 J). ZRP balances performance with moderate packet delivery and energy consumption. Regarding end-to-end delay, AODV demonstrates the lowest latency (110 ms–120 ms), while OLSR experiences the highest delays due to constant route updates.The findings emphasize that AODV is suitable for energy-sensitive applications, while OLSR excels in environments demanding high packet delivery reliability. ZRP offers a trade-off between the two. This analysis provides a comprehensive understanding of protocol performance, guiding network designers in selecting suitable routing strategies for specific MANET scenarios.
AI Literacy for Young Learners: Engaging Muhibbah School Students in the Future of Technology
Authors: Amnur Hidra , Alanda Alde , Erianda Aldo , Hidayat Rahmat , Gusman Taufik
Published: January 2025

Artificial intelligence (AI) is a set of technologies that allow computers to imitate human intelligence and perform complex tasks, such as (1) Understanding language (2) Analyzing data (3) Recognizing images (4) Writing (5) Making predictions. The presence of AI today cannot be avoided but must be wise in utilizing it in daily activities. This community service program is the first step in an effort to prepare the younger generation in Sarawak to be able to compete in the digital era. By collaborating with SK Mubibbah Sarawak, this service hopes to make a significant contribution to improving the quality of education in Indonesia and Malaysia in the border areas of the two countries through sharing Knowledge, especially the Padang State Polytechnic with I-Cats Malaysia and the University of Malaysia Sarawak (UNIMAS). The teaching method used in this activity is very interactive and fun. The learning process is carried out through interesting games and simulations, so that students can more easily understand the concept of AI without feeling burdened. Students are invited to actively participate and be directly involved in simple experiments that show how AI can be applied in everyday life. This program also shows the commitment of Padang State Polytechnic, Unimas and I-Cats Malaysia in expanding the role of higher education not only domestically but also internationally, especially in the field of technology which continues to develop rapidly
Biomechanical model study on the effect of floor materials on walking stability in tea space design
Authors: Liu Bin
Published: January 2025

Floor materials have a considerable impact on walking stability, especially in tea spaces where quiet and comfort are crucial. The materials used have an impact on users’ biomechanics, which influences balance, postural stability, and overall enjoyment in these places. Despite their importance, few studies have looked into the biomechanical impacts of floor materials in such environments. The purpose of this research is to create a biomechanical model to assess the impact of various floor surfaces on walking stability in tea space design, with the use of artificial intelligence (AI) for prediction. A biomechanical model using AI algorithms was used to simulate walking movements on different floor materials. The model predicts walking stability using friction, surface texture, and material hardness. The data were acquired using motion capture and sensor technology; data from people walking on surfaces like wood, ceramic tiles, and tatami mats were obtained and pre-processed by data cleaning, and z-score normalization, extracting features using Principal Component Analysis (PCA). The trained data are processed using Dynamic Grasshopper Optimized Deep Belief Network (DGO-DBN) techniques to improve forecast accuracy. The results show that wooden and tatami surfaces are more stable than ceramic tiles, which have a higher risk of slips and trips. The findings highlight the necessity of appropriate material selection in tea space planning to improve walking stability and reduce safety issues. This research offers light on how biomechanical analysis, paired with AI, might influence better design decisions for spaces that promote user comfort and safety.
Financial Autonomy of Local Self-Governments in the Republic of Serbia and the Republic of Poland : Comparative Analysis
Authors: Kaźmierczak Mateusz , Živanović Filip
Published: January 2025

This contribution deals with the concept of financial autonomy of the local self-governments in the Republic of Poland and the Republic of Serbia. The main aim of this contribution is to confirm or disprove the hypothesis that in the abovementioned countries current legal system is in line with the financial autonomy requirements stipulated by the European Charter of Local Self-Governments. The research is conducted by applying basic methods of legal science, especially the method of scientific analysis. First, it provides a brief overview of the Charter’s role, constitutional background of Serbia and Poland. Second, it present the regulation on local taxation in the abovementioned countries and its place within the local budgets. Third, it confronts the results of previous analysis with the requirements of the Charter. The authors argue, that in both countries, the requirements of the Charter are only partially met.
‘Making the Invisible Visible’: Legislation on Transboundary Aquifers
Authors: Mádl Miklós Vilmos
Published: January 2025

This article addresses an area of international law that is not often discussed, namely, the challenging management of transboundary aquifers. Following a short introduction to the importance and topicality of transboundary aquifers and how universal international law instruments deal with them, this article dives into an analysis of existing bilateral and multilateral cooperations of transboundary aquifers by systematically examining these systems based on the forms of cooperation, their institutional structures, whether they employ quantitative and qualitative measures and how they resolve disputes. Drawing from the experiences of the analysed cooperations, the article proposes a step-by-step path to improve the management of these resources. The article argues that it is possible to successfully prevent wasting resources by invoking the idea of giving more attention to these resources, establishing an international instrument to provide a minimal level of protection to transboundary aquifers and setting up cooperations to manage the given resources.
An Overview of Ethical and Legal Considerations of Assisted Reproductive Techniques
Authors: Nagy Zsófia
Published: January 2025

With the constant evolution of technology in the field of medicine, new ethical questions must be answered. In particular, medically assisted reproduction triggers bioethical disputes nowadays, despite the idea that reproduction without sexual intercourse is not newfangled. When discussing techniques such as artificial insemination, gamete donation, post-mortem fertilisation, in vitro fertilisation, and surrogacy, the traditional concepts of parenthood, genetic filiation, reproductive autonomy, and human dignity are placed under exposition. The sensitive nature of these bioethical issues is present in the diversity of the legislation in Europe and is markedly enstamped in the hesitant attitude of the European Union and the Council of Europe.
Conceptualising Torture in Domestic Violence Cases: The ECHR’s Dynamic Approach
Authors: Šprem Petra
Published: January 2025

From 2007, when the first judgment strictly related to domestic violence was enacted before the ECHR, domestic violence is considered to be a human rights violation. The possibility for such a conceptualisation was previously rooted in positive obligations doctrine which shifted the postulates of human rights law. From the obligation to merely refrain from the abuse, states now have an obligation to protect an individual from the abuse of another individual. Enabling the horizontal effect of the rights from the Convention, the ECHR broadened up the scope of human rights tackling all sorts of cases which occur between individuals, such as domestic violence. However, certain elements of such constructs remain uncoherent and some immature aspects of this doctrine may cause some challenging issues in its practical implementation. Although the ECHR has established criteria on assessing whether a conduct is torture, degrading or inhuman behaviour, such an assessment lacked in the recent domestic violence judgments. Clearly, the dynamic and evolutive approach of the ECHR did not yet followed a substantial change in before mentioned domestic violence conceptualisation. In this paper, author analyses an early ECHR jurisprudence regarding Art. 3. of the Convention as well as the structure and the content of positive obligations which enabled domestic violence to be perceived as human rights violation. The author provides a brief review of the development of domestic violence concept as violation of torture.
Lift-Off of Space Governance in Spain: The Creation of the Spanish Space Agency
Authors: Almenar Roser
Published: January 2025

The space sector represents a strategic industrial cluster in global terms that makes a major contribution to industry, environment, communications, and defence, amongst other domains. Outer space holds enormous potential, which has already been noticed by private operators who regard it as an appealing business opportunity. The importance of the space sector for the Spanish industry has remained constant and has only increased over the last few decades, making apparent the pressing need to bring together under a single public body the competences in space matters which are institutionally dispersed in our country. After several years of persistent demand from the Spanish space industry, the National Security Strategy was adopted in December 2021. This document raised the sector’s hopes by announcing, as one of its lines of action, the intention to establish a Spanish Space Agency to promote the national industry and international cooperation with other similar organisations and/or organisations of interest in the field. In this context, since the adoption of the said Strategy, the Spanish space sector has been the target of a recent regulatory and institutional development, culminating in the creation of the long-awaited Spanish Space Agency on March 7th, 2023. Such an administrative evolution is the subject of this paper, whose main purpose is to conduct an analysis of all the provisions approved during the years 2021 to 2023 that concern our national space sector as a reference for those interested in the topic regarding what has happened in the Spanish space industry throughout recent years.