bluuebunny/crossref_metadata_2025 huggingface dataset:
Transformasi Zona Integritas Menuju Birokrasi Bebas Korupsi : Tinjauan Kebijakan dan Strategi Implementasi di Pemerintah Provinsi Gorontalo
Authors: Biahimo Jurni , Mustapa Wantu Sastro , Aneta Yanti , Sulila Ismet
Published: February 2025

Reformasi birokrasi merupakan langkah strategis untuk menciptakan pemerintahan yang bersih, profesional, dan responsif terhadap kebutuhan masyarakat. Penelitian ini bertujuan untuk mengevaluasi implementasi kebijakan reformasi birokrasi di Provinsi Gorontalo, khususnya dalam pembangunan zona integritas menuju Wilayah Bebas dari Korupsi dan Wilayah Birokrasi Bersih dan Melayani. Metode penelitian yang digunakan adalah pendekatan deskriptif kualitatif. Hasil penelitian menunjukkan bahwa implementasi kebijakan telah memberikan dampak seperti peningkatan kualitas layanan publik, efisiensi birokrasi, dan akuntabilitas aparatur pemerintah. Namun, terdapat tantangan berupa resistensi terhadap perubahan, keterbatasan anggaran, dan kurangnya koordinasi antar unit kerja. Dukungan dari pimpinan daerah, komitmen aparatur, serta adanya pedoman teknis menjadi faktor pendukung utama dalam pelaksanaan kebijakan ini sebagai rekomendasi diperlukan penguatan kapasitas pelaksana melalui pelatihan, desentralisasi pengambilan keputusan, digitalisasi layanan publik, serta evaluasi berkala berbasis data.
Optimalisasi Pengadaan Barang/Jasa Di Era Digital: Analisis Tantangan Dan Peluang Di Provinsi Gorontalo
Authors: Kalupe Sultan , Tahir Arifin , Amir Arham Muhammad , Aneta Yanti
Published: February 2025

Penelitian ini bertujuan untuk mengeksplorasi dan menganalisis transformasi digital dalam pengadaan barang/jasa di Biro Pengadaan Barang/Jasa Sekretariat Daerah Provinsi Gorontalo. Pendekatan penelitian menggunakan metode kualitatif dengan studi kasus. Teknik pengumpulan data dilakukan melalui wawancara mendalam, observasi, dan studi dokumen, menggunakan model triangulasi untuk validitas data. Hasil penelitian menunjukkan bahwa transformasi digital di bidang pengadaan barang/jasa menghadapi sejumlah tantangan utama. Kekurangan sumber daya manusia (SDM) yang berkualifikasi, terutama di tingkat Ahli Madya dan Ahli Pertama, menjadi hambatan signifikan dalam implementasi teknologi. Struktur organisasi yang belum optimal, khususnya dalam jumlah dan peran jabatan fungsional, turut memengaruhi efisiensi proses. Selain itu, integrasi teknologi dalam manajemen pengadaan masih berada pada tahap pengembangan, menghambat efektivitas kerja dan inovasi. Koordinasi dan komunikasi yang belum maksimal juga menjadi faktor penghambat pencapaian tujuan organisasi. Penelitian ini merekomendasikan penguatan kompetensi SDM melalui pelatihan intensif, restrukturisasi organisasi untuk mendukung adaptasi digital, pembaruan teknologi yang lebih terintegrasi, serta perbaikan sistem komunikasi internal. Temuan penelitian ini memberikan kontribusi teoretis dan praktis bagi pengembangan transformasi digital di sektor publik, terutama dalam aspek pengadaan barang/jasa yang lebih efisien, akuntabel, dan inovatif.
“NADA É FÁCIL NESSA VIDA”: DESIGUALDADES (SOCIO)EDUCACIONAIS NAS PERCEPÇÕES DE ADOLESCENTES CUMPRINDO MEDIDAS SOCIOEDUCATIVAS
Authors: Tafakgi Mariana , Ribeiro Eduardo
Published: February 2025

O artigo é parte de uma investigação mais ampla, que pretende estudar as relações entre adolescentes que cumprem medidas socioeducativas e a educação escolar. Mais especificamente, foram analisadas as trajetórias escolares desses adolescentes e suas percepções sobre esta experiência. A investigação buscou situar os adolescentes em termos de um eventual afastamento das instituições escolares, processo que denominamos “desinserção escolar”, e analisou os valores e as representações sobre o papel da escola e da educação evocados pelos interlocutores. Como principal base empírica, foi realizada uma entrevista coletiva aplicada a um grupo de adolescentes cumprindo medida socioeducativa de internação na cidade do Rio de Janeiro. Como resultados, observamos percepções depreciativas sobre a experiência escolar, acionadas por trajetórias educacionais erráticas, marcadas por expulsões irregulares, fracassos sucessivos, discriminações e estigmatizações. Em segundo lugar, foi possível notar nos discursos certa percepção sobre dificuldades relativas e contextos desfavoráveis, quando remetem a uma representação social da escola pública, atualizada por suas experiências particulares e continuamente retroalimentadas por cada nova vivência negativa.
FORMALISMO JURÍDICO E OS MECANISMOS DE EXCLUSÃO ESCOLAR DOS ESTUDANTES PRIVADOS DE LIBERDADE NO DF
Authors: Albuquerque Liana Correia Roquete , Da Silva Maria Abádia
Published: February 2025

ste artigo científico analisa como o direito à Educação é subtraído no processo de implementação da política de escolarização destinada a estudantes/socioeducandos privados de liberdade, nas Unidades de Internação Socioeducativa do Distrito Federal. Apreende-se as contradições entre a política formal, descrita na legislação, e a política materializada no cotidiano das escolas. Para isso, analisa-se como é o acesso dos estudantes/socioeducandos às atividades escolares durante o cumprimento da medida socioeducativa de internação. Parte-se do Método Histórico-Dialético e de dados empíricos para apreender como as políticas para educação básica e as medidas socioeducativas reproduzem as relações de produção materiais e sociais. A investigação aponta que persistem os mecanismos de restrição do direito à Educação; que os gestores e profissionais naturalizam os mecanismos de subtração do acesso e da permanência na escola; e que o formalismo jurídico ordena a igualdade na lei, mas encobre e dissimula a restrição do direito à Educação, na sociabilidade capitalista.
Embodied Ritual, Efficacious Song: Marcel Mauss and the Limits of Anthropology
Authors: Kieffer Alexandra
Published: February 2025

Though not known as a thinker on music, the prolific and wide-ranging early twentieth-century anthropologist Marcel Mauss, in essays published in the early 1920s, put forward a striking series of arguments about lamentation and ritual song. Positing these forms of collective vocality as richly multidimensional sites of overlap between the sociological, the psychological, and the physiological, Mauss's account offers a compelling alternative to the primacy of the symbolic in much twentieth-century anthropological thought. Consequently, considering Mauss's reflections on song in dialogue with recent theories of neo-Peircean biosemiosis opens up novel ways of positioning ethnomusicological questions vis-à-vis anthropological theories of culture.
The Need for Intervention of Art Education in the Pre-school Education System
Authors: Du Xinyu
Published: February 2025

The preschool stage is considered the most critical period in a child's development and has a crucial impact on his or her overall development. During this stage, children rapidly develop their cognitive, emotional, social, and language skills, making it crucial to provide them with rich and varied educational experiences. Art education plays an important role in preschool education, not only stimulating children's imagination and creativity, but also promoting the development of their emotional expression and social skills. The characteristics of preschool education – playfulness, experience, and fun – align well with the philosophy of art education.In July 2001, the Ministry of Education issued the Guidelines for Kindergarten Education (for Trial Implementation), which outlined five key areas of focus: health, language, society, science, and art. These guidelines describe the goals, content, and requirements for each area, including art education.Through art education, children can express their thoughts and feelings using their bodies, voices, colors, and other means, thereby better understanding the world and interacting with others.Then the purpose of this paper is to discuss the position and role of art education in the preschool education system and the influence of art education on the comprehensive development of preschool children. By analyzing preschool drama education and taking the physical drama "Snipe - Clam - Fish" as an example, it reveals the necessity of art education in preschool education and provides theoretical support and practical reference for preschool education practice.
Comparison of CNN-Based Models in Facial Micro-Expression Classification
Authors: Liu Ruoxuan
Published: February 2025

With the rapid development of deep learning, especially the application of Convolutional Neural Networks (CNNs), significant progress has been made in the identification and recognition of facial micro-expressions. This paper explores and compares three widely used models in this field: VGG, DenseNet, and ResNet, across seven expression labels—Anger, Disgust, Fear, Happiness, Neutral, Sadness, and Surprise. The comparison is based on several key evaluation metrics commonly used in deep learning classification tasks. To ensure consistency, critical training parameters such as epochs, learning rate, and data preprocessing steps are kept the same across all models. Additionally, a dropout layer is incorporated to address issues such as overfitting and improve generalization in each model. These works indicate that VGG has the highest performance in RAFDB dataset because it as an F1-score of 0.76, an AUC value of 0.95, and a 75% accuracy rate. Additionally, VGG uses only 1243.31MB of memory, making it the most efficient model compared to the other two models. This shows that VGG excels not only in performance but also in memory efficiency.
Modeling and Simulation Research on the Hydraulic System of the Blade of an Unmanned Bulldozer
Authors: Miao Chunming
Published: February 2025

In response to the operational characteristics of unmanned bulldozers, a model of the hydraulic system and physical mechanism of the bulldozer blade was constructed using AMESim software. This paper discusses the modeling process, sets the main parameters of the model, and simulates the dynamic behavior of the hydraulic system and the two-dimensional motion of the mechanism during the processes of digging, pushing, unloading, and resetting of the unmanned bulldozer blade. The simulation curves of pressure, flow rate, and displacement for the lifting and tilting hydraulic cylinders of the blade were obtained. A detailed analysis and comparison of the simulation results were conducted, verifying the accuracy of the model. The study demonstrates that the model improves the operability of the unmanned bulldozer, enabling smoother operation. Additionally, the correctness of the simulation model was validated, which is significant for achieving trajectory planning of the blade.
Predicting Pet Adoption Outcomes: A Comparative Study of Machine Learning Models
Authors: Zhang Ruier
Published: February 2025

This study looks at how different machine learning models can be used to guess how pet adoption will go using the Predict Pet Adoption Status Dataset from Kaggle, which has records from 2007. The goal of the study is to make the process of adopting a pet more efficient by carefully comparing how well different machine learning models work, including Artificial Neural Networks (ANN), Decision Trees (DT), Random Forest (RF), and Logistic Regression (LR). Each model is evaluated based on its accuracy, Area Under the Curve (AUC), interpretability, and computational efficiency. The results indicate that Decision Trees achieve the highest accuracy on the test set (92.53%) with minimal overfitting, making it the most suitable model for this task. Although ANN achieves the highest training accuracy (99.56%), it suffers from significant overfitting, highlighting the importance of proper regularization and large datasets for such models. The findings provide a data-driven framework for shelters and rescue organizations to adopt more effective practices in predicting and improving pet adoption outcomes, ultimately contributing to animal welfare.
Research on Solving Crop Planting Strategies Based on Particle Swarm Optimization Algorithm
Authors: Zou Xingbang , Li Zhiqi
Published: February 2025

In order to fully utilize the limited arable land resources in the rural area and improve the profits of the rural planting industry, this article mainly uses particle swarm optimization algorithm, and combines other models to determine the optimal strategy for crop planting in the rural area. Establish a mathematical programming model and use particle swarm optimization algorithm to solve for the planting strategy that maximizes the profit of the village under the given constraints. Firstly, write the objective function equation based on the given conditions. Subsequently, based on the constraints in the question, write down the constraints and add a penalty function to the objective function. Finally, the particle swarm algorithm is used to solve for the optimal planting strategy, and the crop planting area for each plot is allocated based on the obtained results. Using the planting strategy determined in this article, the annual profit of the village is approximately 6 million yuan; under another constraint, the annual profit of the village is approximately 8 million yuan.
Study on Subtitle Translation of Chang'an from the Perspective of Adaption Theory
Authors: Wang Yao
Published: February 2025

As international cultural exchanges become closer and closer, film is particularly important as a bridge of cultural communication, showing a booming trend. Subtitle translation is one of the important factors for a film to go global. High-quality subtitle translation can enhance the viewing experience of overseas audiences and deepen their understanding of the culture involved in the film, thus promoting cultural exchange. The film Chang'an is a great success because of its beautiful picture and wonderful story content, which is loved by the audience. This paper analyses the adaptation in the subtitle translation of Chang’an from the perspective of adaptation theory, in terms of context and language with examples. It explores how subtitle translation can balance the differences in language and culture between the two countries, so that subtitle translation can better serve film and television works.
The Philosophical Evaluation of Aristotle's Music Aesthetics Thought
Authors: Li Xingjie
Published: February 2025

Aristotle, as a master of ancient Greek philosophy, aesthetics and music, has made important contributions to the aesthetic thought of music. His thoughts on music aesthetics not only deeply revealed the essence and function of music, but also provided an important theoretical basis for the later music theory and practice. Starting from Aristotle's musical aesthetics, this paper will discuss the abstract narration and philosophical evaluation of his musical expression. Aristotle believed that music can directly imitate human emotions and personalities through rhythm, melody and harmony, which is not only an artistic expression, but also a kind of shaping of the soul. He emphasized the educational function of music, believing that music can regulate people's emotions through the "purification" effect, so that it is in a moderate state. This thought not only reveals the important role of music in expressing thoughts, edifying people, deepening cognition and philosophical thinking, but also provides positive enlightenment for contemporary music expression. Through the in-depth analysis of Aristotle's music aesthetics thoughts, this paper aims to put forward the profound influence of Aristotle's music aesthetics thoughts and its positive influence on contemporary music expression.
Research on Healthy Green Development Based on Natural Language Processing
Authors: Wu Zijian , Han Sufang , Qiao Huiliang , Zou Zhuang , Dong Yinglei
Published: February 2025

The rapid growth of unstructured data in the medical field, such as electronic health records and online medical queries, has rendered traditional knowledge acquisition methods insufficient to meet the increasing demands for accurate and efficient healthcare services. To address this issue, this paper proposes an intelligent question-answering system based on Natural Language Processing and knowledge graph technologies. Using an improved entity relationship joint extraction model, the study constructs a multi-source heterogeneous knowledge graph for diabetes, encompassing diseases, symptoms, medications, and treatments, utilizing nearly 10,000 real-world patient inquiries from the Shanghai Health Medical Center. A comparison of TF-IDF, BERT, and twin network semantic similarity models revealed that the twin network model achieved the highest performance, with an accuracy rate of 80.2% in question matching tasks, significantly outperforming the other models. The proposed system effectively integrates patient inquiries with the medical knowledge base, enabling precise intention recognition and real-time responses. This research offers a robust framework for building intelligent medical question-answering systems and provides technical support for the sustainable and intelligent development of healthcare services, with potential applications extending to other disease areas in the future.
A Method for Accelerating the Loading of TIFF Files Based on Memory-Mapped File Technology
Authors: Lv Hang , Zhang Longlong , Cao Qiusheng
Published: February 2025

TIFF (Tagged Image File Format) is of vital importance in fields such as aerial remote sensing and computer vision. To address the challenge of real-time loading of large, multi-frame TIFF files, this study proposes FastTIFF, an acceleration method based on memory-mapped files and multi-threading technology in Ubuntu. FastTIFF provides access to each frame's image and its description information for other programs by using address pointers for each frame. Experiments show that, compared with LibTIFF, FastTIFF achieves a maximum loading speed improvement of 94.68%, with significant performance in handling large files. Even in the smallest file test, the speed only decreased by 7.26%, demonstrating its robustness in processing small-scale files. This method effectively meets the real-time requirements of image recognition software.
L’impero (americano) colpisce ancora. La conversione forzosa dell’esercizio italiano alla proiezione panoramica
Authors: Vitella Federico
Published: February 2025

At the end of the Second World War, the American film industry was able to quickly regain the large European market shares it had held in the second half of the 1930s. In Italy, potentially the most lucrative country on the continent, the goal is achieved through the extensive occupation of the ex-hibition chain: first, between 1945 and 1953, by saturating the market with an abnormal number of films, and then, from 1954, by beating the competition with a brand new generation of widescreen products filmed in CinemaScope, VistaVision and the like. However, in order to properly project Holly- wood’s widescreen productions, every Italian cinema had to undergo major renovations, as was the case with the widespread transition to talkies. The purpose of this paper is to examine the successful conversion of the Italian exhibition chain to widescreen technology in the context of Hollywood’s aggressive commercial foreign policy in the 1950s, using a film industry studies approach within the wider field of media industry analysis.
Sicurezza o Sopravvivenza: una scelta difficile durante le crisi. Cause e conseguenze dell'incendio del cinema Statuto (1983)
Authors: Corsi Barbara
Published: February 2025

Taking care of a film audience means, above all, keeping it safe and protecting its health. This duty has not always been accomplished. In the history of the Italian cinema exhibition, sometimes specta- tor safety conflicted with the financial survival of movie theatres.From the late 1970s, Italy’s exhibition sector suffered from a severe economic crisis due to diminish- ing cinema attendance. While the exhibitors union AGIS tried to ease official security regulations, many theatres gave up caring for their audience in order to survive. The tension culminated most visibly in a tragic fire disaster in Turin. On 13 February 1983 the Statuto Cinema burned down, result- ing in 64 deaths. This case exemplifies the challenging trade-off between adapting modern security standards and maintaining the economic viability of movie theatres.
The article analyses the Statuto disaster itself and contextualises the incident within the broader contemporary trade discussion about safety concerns. Light is shed on the negotiations between the safety authorities and the exhibitors union prior to 1983, and the difficult choice between investing or surviving that concerned many exhibitors. Drawing on archival material from the AGIS archive, the article traces how cinema managers experienced this historical period of change and assessed risk for film audiences in the late 1970s and early 1980s.
UJI EFEKTIVITAS KOMBINASI EKSTRAK KUNYIT (Curcuma longa. L) DAN JAHE (Zingiber officinale Roscoe) TERHADAP IMUNOGLOBULIN M DAN IMUNOGLOBULIN G PADA HEWAN UJI TIKUS (Rattus norvegicus)
Authors: Sulaiman Sulaiman , Marlisya Lis
Published: February 2025

The body's defense system functions to protect humans from foreign substances in the body. The importance of the immune system in health shows that people with a weak immune response are more susceptible to life-threatening infections. The immune system can be improved with the help of immunomodulators, one of the plants that has immunomodulatory activity is turmeric and ginger. However, the immunomodulatory effect, especially on immunoglobulin M and immunoglobulin G, from the combination of these plants is not yet known, knowing the effect of giving a combination of turmeric and ginger on immunoglobulin G and immunoglobulin M. Turmeric and Ginger extracts on Immunoglobulin G and Immunoglobulin M in rat test animals. It was found that increased immunomodulatory activity, especially Immunoglobulin M, was most effective in group III with a ratio of 7.5: 2.5
The Effect of Pronated Positioning on Increasing Oxygen Saturation in Neonates with Respiratory Distress in the NICU Room at RDUD Temanggung
Authors: Rahayu Idum Laela , Indarwati Ferika , Anisah Layli
Published: February 2025

Abstract
Background: respiratory distress is a condition in which a baby experiences a lack of surfactant in the alveoli, leading to breathing difficulities, decreased oxygen saturation due to the immaturity of organ systems caused by insufficient gestasional age. The non-pharmacological technique that can be used to improve oxygen saturation is the prone position.
 Research method: This research method used in this intervention is a case report with an intervention approach. This research was conducted in the NICU unit of Temanggung Regional Hospital, the research carried out on 26-30 December 2024. The research participants were neonate patient with diagnosis distress respiration. Oxygen saturation was measured before and after the prone position was applied.
Result: After being given prone position intervention within 2 hours for five days, there was an increase in oxygen saturation, on the first day from 89% to 90% and on the fifth day there was an increase from 99% to 100%.
Conclusion: intervention of prone position is an effective on improving oxygen saturation in neonates with respiratory distress syndrome and it is quite easy to do because it does not require special skills and can be done at any time.
Effect of stem cutting diameter on growth and survival of Salix clones in nursery under shallow water table conditions
Authors: Saini B. , Singh R. , Sharma Peeyush
Published: February 2025

Effects of three Salix clones and four diameter classes on growth and survival of Salix species were evaluated under Tarai conditions of Pantnagar in a nursery experiment. Maximum collar diameters (2.07 cm; 2.18 cm) were recorded in S1 clone and D4 diameter class, respectively. Similarly maximum heights (258 cm; 233 cm) were observed in S3 clone and D4 diameter class, respectively. In comparison to Srinagar conditions, plant height was 1.6 to 2.2 times and collar diameter 2.0 to 2.9 times higher under Pantnagar conditions. Maximum survival under different diameter classes at Srinagar conditions ranged from 61 to 82% in comparison to 100 % at Pantnagar.
Analysis of Species Diversity under Plantations raised on degraded land
Authors: Verma R. , Shadangi D. , Sharma Manoj
Published: February 2025

Biological diversity and changes in chemical properties of soil under Gmelina arborea Roxb. and Anthocephalus cadamba (Roxb.) Miq. plantations raised on bhata wastelands of Raipur, Chhatisgarh (India) was studied in October, 1999. The number of ground flora species under Gmelina arborea and Anthocephalus cadamba was 33 m-2 and 19 m-2 respectively. On the basis of importance value index (IVI), Tridax procumbens L. and Desmodium triflorum (L.) DC. were the dominant herb under Gmelina arborea and Anthocephalus cadamba plantations respectively. In general, distribution of most of ground flora species was contiguous. Index of dominance was lower and index of diversity was higher for ground flora under plantations than that of open bhata land. The ground flora under Gmelina arborea has highest diversity index (4.251) than Anthocephalus cadamba (3.778) and open bhata land (3.219). The index of dissimilarity between plantations and open bhata land is high which indicates remarkable degree of dissimilarity in ground flora species. However, there was plenty of similarity between two plantations as far as ground flora under them was concerned. The population of bacteria, fungi, nematodes, micro-arthropods and vesicular-arbuscular mycorrhizal (VAM) fungi spores were significantly more in soil under plantations than that of open bhata land. The soils under plantations have significantly high fertility status.
Reviewer Acknowledgements for International Journal of Higher Education, Vol. 14, No. 1, 2025
Authors: Sun Susan
Published: February 2025

Reviewer Acknowledgements for International Journal of Higher Education, Vol. 14, No. 1, 2025
O Propósito da cultura desnudada: uma revisita autoetnográfica ao projeto folclore nu
Authors: Costa Andriolli
Published: February 2025

Este artigo utiliza-se da autoetnografia como ferramenta para uma revisita crítica ao projeto fotográfico Folclore Nu – Desnudando a Cultura Brasileira. A iniciativa reuniu a estética fine  art com ensaios de nu artístico, sempre tematizados pela literatura oral que compõe a cultura popular do país. O material era fundamentado por pesquisa bibliográfica partilhada com o público, com o propósito de promover um deslocamento epistêmico sobre o Folclore e suas projeções artísticas. Sete anos depois, todavia, a própria forma de entender o termo Folclore ganha novos sentidos na esfera pública. Assim, mobilizando a sensibilidade dos Estudos do Imaginário e da Folclorística Dialética, promovemos um retorno reflexivo a este projeto profundamente folkmidiático. Por meio deste trajeto, encontra-se o caminho para pensar os desafios da criação inspirada na cultura tradicional.
Trends in educational and income mobility
Authors: Merola Rossana ,   International Labour Organization,
Published: February 2025

This brief explores trends in educational and income mobility, highlighting disparities and policy implications across advanced and developing economies.
Temporary labour migration
Authors: Kuptsch Christiane , Mieres Fabiola ,   International Labour Organization,
Published: February 2025

This book explores the realities of temporary labour migration, analizing its impact on workers and labour markets. It offers insights on governance, worker protections, and policy innovations to promote fair migration.
LGV Analysis Of Hydroperoxy Radical (Ho2): Spectral Lines For Its Detection In A Cosmic Object
Authors: Chandra S.
Published: February 2025

Knowing rotational and centrifugal distortion constants in conjunction with electric dipole moment for HO2 radical, we have calculated energies for rotational levels (without fine-structure splitting), and probabilities for radiative transitions between the levels.
С помощью известных вращательных и центробежных констант аберрации, в сочетании с электрическим дипольным моментом для радикала HO2, были вычислены энергия вращательных уровней (без расщепления тонкой структуры) и вероятности радиационных переходов между уровнями.
Electromagnetic Radiation From A Relativistic Jet Induced By A Plane Gravitational Wave
Authors: Epp V. , Osetrin K. , Osetrina E.
Published: February 2025

Electromagnetic radiation of a relativistic gas or plasma jet in the field of a plane gravitational wave is investigated. The gravitational wave is considered as a weak (linearized) field on flat Minkowski spacetime.
Исследовано электромагнитное излучение релятивистской газовой или плазменной струи в поле плоской гравитационной волны. Гравитационная волна рассматривается как слабое (линеаризованное) поле на плоском пространствевремени Минковского.
Optimal deployment
Authors: Lohmander Peter
Published: February 2025

The optimal size of a military force to send to the battle field is determined. The objective function includes the cost of deployment, the cost of the time it takes to win the battle, and the costs of killed and wounded soldiers with equipment. The cost of deployment is an explicit function of the number of deployed troops and the value of a victory with access to a free territory, is a function of the length of the time it takes to win the battle. The cost of lost troops and equipment, is a function of the size of the reduction of these lives and resources. An objective function, based on these values and costs, is optimized, under different parameter assumptions. The battle dynamics is modeled via the Lanchester differential equation system based on the principles of directed fire. First, the deterministic problem is solved analytically, via derivations and comparative statics analysis. General mathematical results are reported, including the directions of changes of the optimal deployment decisions, under the influence of alternative types of parameter changes. Then, the first order optimum condition from the analytical model, in combination with numerically specified parameter values, is used to determine optimal values of the levels of deployment in different situations. A concrete numerical case, based on the Battle of Iwo Jima, during WW Ⅱ, is analyzed, and the optimal deployment decisions of the attacker, BLUE, are determined under different assumptions. The known attrition coefficients of both armies, BLUE, and the defender, RED, and the initial size of the RED force, are parameters. The optimal solutions are found via Newton- Raphson iteration. Finally, a stochastic version of the optimal deployment problem is defined, where the attrition parameters are considered as stochastic, before the deployment decisions have been made.
AI and machine learning applications in wearable health devices
Authors: Shabbir Muhammad Nadir , Linh Duong Thuy
Published: February 2025

By enabling real-time monitoring, early diagnosis, and tailored therapies, wearable health technology combining artificial intelligence and machine learning has transformed healthcare. Wearables combine Internet of Things (IoT), cloud computing, and artificial intelligence (AI) using algorithms to monitor vital signs, including heart rate, blood glucose levels, and oxygen saturation. This enables predictive insights into health conditions, maximizes therapies, and supports remote healthcare options. Even if their potential use is rather high, data privacy, model generalization, regulatory validation, and accessibility remain issues. Generative artificial intelligence and federated learning both help privacy and performance. Predictive modeling, AR/VR, and blockchain technology will drive wearable health devices forward. Artificial intelligence-powered wearables impact world health since they provide competitively priced, scalable solutions for poor populations. By means of overcoming obstacles, multidisciplinary teamwork provides fair, safe, and changing healthcare service.
Designing Software for Real-Time Pump Dispenser Data Streaming Using AWS Kinesis
Authors: Vegesna Rohith Varma
Published: February 2025

Real-time data streaming is a transformative technology for fuel stations, enabling enhanced monitoring, fraud detection, and operational efficiency. This paper explores the architecture, implementation, and optimization of a robust software system using AWS Kinesis for real-time streaming of fuel dispenser and Automatic Tank Gauge (ATG) data. Multiple Kinesis streams are used to distribute data effectively, with streams dedicated to dispenser transactions, ATG data, and ATG alerts. The system ensures scalability, low latency, and data redundancy by leveraging AWS S3 for backup. Through detailed analysis and a pilot implementation, this paper highlights the significant improvements in efficiency and data reliability achieved through this approach, along with recommendations for future enhancements.
Automated deployment and rollback strategies for docker containers in continuous integration/continuous deployment (CI/CD) pipelines
Authors: Gogineni Anila
Published: February 2025

This report explores the significance of automated deployment and rollback strategies within Continuous Integration/Continuous Deployment (CI/CD) pipelines, a cornerstone of modern software delivery practices. With the current growing trends in the utilisation of containerization tools like Docker, the need to deploy applications with high efficiency and reliability minus regular manual intervention is very important. Due to making the environment consistent and improving portability, Docker is an integral part of the deployment cycle employed in this investigation. This paper explores different deployment strategies like blue-green deployment, canary release, and rolling updates, examining their part in avoiding downtime and providing steady application rollout. For example, backup is a rollback issue that protects failed deployments. The report describes variations of Docker images as a version, using immutability to design rollbacks and feature toggling as key elements in developing reliable rollbacks. By integrating architectural design diagrams, explanations of deployment workflows, and rollback back as well as practical ways of doing it, this paper offers a coherent framework on how automated deployment and rollback could be done. It is designed to solve easy-to-hard issues to achieve consistency and scalability and provide recommendations to increase effectiveness and decrease potential problems. Docker and integrated CI/CD solutions enhance the adaptability, availability, and robustness of the supply chains for software applications.
Optimizing corporate tax strategies and transfer pricing policies to improve financial efficiency and compliance
Authors: Elumilade Oluwafunmike O , Ogundeji Ibidapo Abiodun , Achumie Godwin Ozoemenam , Omokhoa Hope Ehiaghe , Omowole Bamidele Michael
Published: February 2025

in an increasingly globalized economy, multinational corporations (MNCs) face complex challenges in optimizing corporate tax strategies and transfer pricing policies to enhance financial efficiency while ensuring compliance with evolving regulatory frameworks. Effective tax planning is essential for minimizing tax liabilities, improving cash flow, and maintaining competitiveness. Transfer pricing, which governs intra-group transactions, plays a crucial role in determining taxable profits across different jurisdictions. However, improper transfer pricing practices can lead to regulatory scrutiny, tax disputes, and reputational risks. This review explores the strategic integration of tax optimization and transfer pricing policies, emphasizing data-driven decision-making and adherence to international tax standards such as the OECD’s Base Erosion and Profit Shifting (BEPS) framework. By leveraging advanced analytics, artificial intelligence, and real-time financial modeling, corporations can enhance transparency, align intercompany pricing with economic value creation, and mitigate the risks of double taxation. Key considerations include aligning transfer pricing methodologies with arm’s length principles, implementing tax-efficient corporate structures, and navigating jurisdictional differences in tax regulations.Furthermore, the study examines case studies of successful corporate tax optimization strategies and highlights best practices for achieving compliance while maintaining financial sustainability. The role of taxauthorities in increasing scrutiny over profit shifting, the impact of digital taxation trends, and emerging global tax reforms are also discussed. By adopting proactive and adaptive tax policies, businesses can enhance operational efficiency, reduce tax-related uncertainties, and foster a more sustainable approach to corporate financial management. The findings underscore the importance of integrating robust compliance mechanisms with strategic tax planning to balance profitability and regulatory obligations effectively
Dynamic Risk Modeling in Financial Reporting: Conceptualizing Predictive Audit Frameworks
Authors: Omowole Bamidele Michael , Omokhoa Hope Ehieghe , Ogundeji Ibidapo Abiodun , Achumie Godwin Ozoemenam
Published: February 2025

Dynamic risk modeling in financial reporting has emerged as a transformative approach to enhance the accuracy, transparency, and reliability of audits in an increasingly complex financial environment. This study conceptualizes a predictive audit framework that integrates advanced technologies, such as machine learning (ML) and artificial intelligence (AI), to identify, assess, and mitigate financial risks in real time. Traditional audit processes often rely on static evaluations, which fail to account for evolving risk factors and data interdependencies. Predictive audit frameworks, by contrast, employ dynamic risk modeling to anticipate potential anomalies and irregularities, enabling proactive interventions and improving decision-making accuracy. The framework leverages predictive analytics to analyze historical data trends, identify potential risk exposures, and model future scenarios. Advanced tools like natural language processing (NLP) are employed to extract actionable insights from unstructured financial data, while neural networks detect subtle patterns indicative of fraud or compliance breaches. Additionally, real-time monitoring systems enhance auditors’ ability to track financial operations and identify irregularities as they occur. The proposed framework emphasizes the importance of adaptive algorithms that self-improve based on incoming data, ensuring continuous relevance in fluctuating financial landscapes. It also integrates governance, risk, and compliance (GRC) considerations to align with evolving regulatory requirements, fostering stakeholder trust and transparency. Case studies demonstrate the framework's applicability in diverse financial sectors, showcasing its potential to mitigate financial misstatements and ensure compliance with International Financial Reporting Standards (IFRS). By conceptualizing predictive audit frameworks, this research underscores the critical role of dynamic risk modeling in enhancing financial reporting's integrity. It highlights the shift from reactive to proactive auditing practices, advocating for a data-driven approach to risk management. This study offers valuable insights for auditors, regulatory bodies, and financial institutions seeking innovative solutions to address contemporary challenges in financial reporting.
Identification of key brain networks and functional connectivities of successful aging: A surface-based resting-state functional magnetic resonance study
Authors: Sun Jiao-Jiao , Zhang Li , Sun Ru-Hong , Gao Xue-Zheng , Fang Chun-Xia , Zhou Zhen-He
Published: February 2025

BACKGROUND

Successful aging (SA) refers to the ability to maintain high levels of physical, cognitive, psychological, and social engagement in old age, with high cognitive function being the key to achieving SA.

AIM

To explore the potential characteristics of the brain network and functional connectivity (FC) of SA.

METHODS

Twenty-six SA individuals and 47 usual aging individuals were recruited from community-dwelling elderly, which were taken the magnetic resonance imaging scan and the global cognitive function assessment by Mini Mental State Examination (MMSE). The resting state-functional magnetic resonance imaging data were preprocessed by DPABISurf, and the brain functional network was conducted by DPABINet. The support vector machine model was constructed with altered functional connectivities to evaluate the identification value of SA.

RESULTS

The results found that the 6 inter-network FCs of 5 brain networks were significantly altered and related to MMSE performance. The FC of the right orbital part of the middle frontal gyrus and right angular gyrus was mostly increased and positively related to MMSE score, and the FC of the right supramarginal gyrus and right temporal pole: Middle temporal gyrus was the only one decreased and negatively related to MMSE score. All 17 significantly altered FCs of SA were taken into the support vector machine model, and the area under the curve was 0.895.

CONCLUSION

The identification of key brain networks and FC of SA could help us better understand the brain mechanism and further explore neuroimaging biomarkers of SA.
Using the THINC-integrated tool to compare the characteristics of cognitive dysfunction in patients with unipolar and bipolar depression
Authors: Zhu Na , Zhang Qi , Huang Jia , Tong Jie , Gong Heng-Fen , Zhu Ming-Huan , Lu Wei , Zhang Jie , Sun Xi-Rong
Published: February 2025

BACKGROUND

Major depressive disorder (MDD) and bipolar depression (BD-D) are both intricate, enduring, and profound psychiatric conditions characterized primarily by depressive episodes and cognitive dysfunction. However, distinguishing the characteristics and influencing factors of cognitive impairment in unipolar and BD-D is crucial for identification and intervention.

AIM

To compare neurocognitive characteristics and investigate associations between cognitive function and clinical features in unipolar and BD-D.

METHODS

The THINC-integrated tool (THINC-it) as a cognitive assessment tool was applied to 295 individuals: 75 patients with depressive disorders (MDD), 120 individuals with BD-D, and 100 healthy controls. The Hamilton Depression Scale-17 (HAMD), Hamilton Anxiety Scale-14 (HAMA), and Pittsburgh Sleep Quality Index (PSQI) were employed to assess depression, anxiety, and sleep. Neurocognitive function characteristics and the relationships between cognitive impairment and general clinical attributes were analyzed.

RESULTS

There were no statistically significant differences in the overall THINC-it with each objective subscale. However, the subjective subscale (Perceived Deficits Questionnaire for Depression-5-item) showed significant differences between MDD and BD-D (P < 0.001). Linear regression analyses were explored to determine associations. Age, years of education, age at onset, and HAMD were significantly co-associated with the overall THINC-it and each subscale in both MDD and BD-D (P < 0.05). Furthermore, years of education showed a positive correlation with objective cognitive impairment (e.g. , Codebreaker, Trails) (P < 0.05). There was a notable difference in that the number of depressive episodes, disease duration, hospitalizations, HAMA, and PSQI were significantly associated with the overall THINC-it with each subscale between MDD and BD-D (P < 0.05).

CONCLUSION

Although both unipolar and BD-D showed similar objective cognitive impairments, there was a significant difference in subjective cognitive impairment. Our findings suggest that factors like age, years of education, age at onset, and depression severity might not be significantly difference in the influence of cognitive impairment. Furthermore, we found that education was a protective factor for cognitive impairment in both unipolar and BD-D. Our analysis revealed that distinct factors including disease duration, number of depressive episodes, hospitalizations, anxiety levels, and sleep quality influenced cognitive impairment between unipolar and BD-D. Therefore, it was important to investigate the specific characteristics of cognitive impairment and influencing factors to identify differentiating unipolar and BD-D.
ปัจจัยที่มีความสัมพันธ์กับการเสียชีวิตผู้ป่วยโรคติดเชื้อไวรัสโคโรนา 2019 ระลอกมกราคม 2565 จังหวัดนครศรีธรรมราช
Authors: คงศรีชาย อรพรรณ , ไกรนรา กาญจนาภรณ์
Published: February 2025

บทคัดย่อ
บทนำ: โรคติดเชื้อไวรัสโคโรนา 2019 ส่งผลกระทบต่อระบบสุขภาพเนื่องจากเป็นโรคที่มีการเจ็บป่วยรุนแรงและส่งผลให้เกิดการเสียชีวิตตามมาได้ การศึกษาปัจจัยที่มีความสัมพันธ์กับการเสียชีวิตของผู้ป่วยจะช่วยให้สามารถนำความรู้มาใช้ในการวางนโยบายเพื่อเฝ้าระวังป้องกันความรุนแรงที่มีประสิทธิภาพมากยิ่งขึ้น
วิธีการศึกษา: การวิจัยเชิงวิเคราะห์แบบย้อนหลัง (Retrospective Analytic Study) มีวัตถุประสงค์เพื่อศึกษาสถานการณ์การเสียชีวิตและวิเคราะห์ปัจจัยที่มีความสัมพันธ์กับการเสียชีวิตผู้ป่วยโรคติดเชื้อไวรัสโคโรนา 2019 จังหวัดนครศรีธรรมราช ประชากรเป็นผู้ป่วยที่ได้รับการวินิจฉัยในช่วงการระบาดของโรคระหว่างเดือนมกราคม -เมษายน 2565 จำนวน 4,328 คน เป็นกลุ่มป่วยเสียชีวิต 83 คน และกลุ่มป่วยไม่เสียชีวิต 4,245 คน จากสถานพยาบาล 63 แห่งในจังหวัดนครศรีธรรมราช ใช้ข้อมูลจากระบบ CO-Ward ศูนย์เทคโนโลยีสารสนเทศและการสื่อสาร สำนักงานปลัดกระทรวงสาธารณสุข วิเคราะห์ข้อมูลทั่วไปด้วยสถิติเชิงพรรณนา (Descriptive Statistic) ได้แก่ ค่าความถี่ ร้อยละ ค่าเฉลี่ย ส่วนเบี่ยงเบนมาตรฐาน หาความสัมพันธ์ของปัจจัยการเสียชีวิตด้วยสถิติ Chi-square การถดถอยโลจิสติก (Logistic Regression Analysis) นำเสนอความสัมพันธ์ด้วยค่าอัตราเสี่ยง (odds ratio: OR) และประเมินค่าช่วงความเชื่อมั่นที่ 95% Confidence Interval: CI
ผลการศึกษา: ปัจจัยที่สัมพันธ์กับการเสียชีวิตอย่างมีนัยสำคัญทางสถิติ (p< .05) ได้แก่ เพศชาย (OR 2.12, 95% CI= 1.339-3.290) อายุ≥ 60 ปี (OR 6.01, 95% CI= 3.587-10.064) มีโรคประจำตัว (OR 4.06, 95% CI= 1.866-8.827) ได้แก่ โรคความดันโลหิตสูง (OR 2.00, 95% CI= 1.294-3.090) ภาวะไขมันในเลือดสูง (OR 2.18, 95% CI= 1.328-3.573) โรคหลอดเลือดสมอง (OR 2.36, 95% CI= 1.202-4.628) วัณโรค (OR 5.45, 95% CI= 1.627-18.266) โรคถุงลมโป่งพอง (OR 11.50, 95% CI= 5.999-25.455) โรคภูมิคุ้มกันบกพร่อง (HIV) (OR 7.91, 95% CI= 2.704-23.139) โรคพาร์กินสัน (OR 104.79, 95% CI= 9.407- 1,167.315) ความสัมพันธ์ของการเสียชีวิตเพิ่มสูงขึ้นเมื่อมีโรคประจำตัว 2 โรค (OR 10.42, 95% CI= 4.471-24.270) และ 3 โรคขึ้นไปเป็น (OR 4.33, 95% CI= 1.877-9.984) นอกจากนี้สัมพันธ์กับการได้รับวัคซีนไม่ครบโด้ส (OR 4.15, 95% CI= 1.959-8.809) และการไม่ได้รับวัคซีน (OR 6.26, 95% CI= 3.922-9.983)
สรุปผล: การควบคุมปัจจัยเสี่ยงเพื่อป้องกันการเสียชีวิตควรเริ่มตั้งแต่ต้นน้ำคือ นโยบายมาตรการเร่งรัดการฉีดวัคซีน ศูนย์เฝ้าระวังค้นหากลุ่มเสี่ยงและคัดแยก/ การค้นหาเชิงรุก เพื่อมีการสร้างความตระหนัก กลางน้ำคือ ระบบบริการผู้ป่วยที่มีปัจจัยเสี่ยงได้รับการวินิจฉัยและรักษาตามแนวทางที่รวดเร็วโดยการมีส่วนร่วมของสหวิชาชีพที่เกี่ยวข้อง และปลายน้ำคือ การกำกับติดตามต่อเนื่อง ผลลัพธ์การดูแลที่มีประสิทธิภาพมากยิ่งขึ้น
 
คำสำคัญ: ปัจจัยที่มีความสัมพันธ์กับการเสียชีวิต, โรคติดเชื้อไวรัสโคโรนา 2019
ผู้นิพนธ์ประสานงาน: อรพรรณ คงศรีชาย; E-mail: kukmungmee@gmail.com