bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of Refractive Errors in Children of Parents with Consanguinity, in an Eye Camp in a Rural Area
Authors: Mahmood Khan Tahir , Mahmood Zahid , Anwer Awan M. , Ul Haq Hashmi Anwaar , Randhawa Laiba , Raza Bukhari Aima
Published: February 2025

Background: Early detection makes refractive error treatable. The risk of refractive errors and other congenital disorders is increased by consanguinity. Early screening can prevent lifelong morbidity and decrease family burden.

Aims and Objectives: As is acknowledged by most of previous researchers, Refractive errors are more common in children from parental cousin marriage. It is for further strengthen background concept and reality so that this study was conducted.

Study Design: In 2023, Current analytical cross sectional study was conducted on patients coming in four days eye camp at village Minhala, near Lahore Jallo Morh.

Methodology: A total number of 1449 patients were examined. The total 632 School going children was from 8-16 years of age. Of these 446 children, there were parents of consanguinity. We now selected only those children (n=386) whose parents have consanguinity and ametropia. It was filled according to the proforma. Snellen’s Chart was used to perform Visual acuity. If found, refractive error was corrected and nature of error was also mentioned. SSP version 23 was used to analyse data. Qualitative data was presented in Frequency and Percentages, and Quantitative data was presented using (Mean ±SD). We used chi square test to determine whether types of refractive errors were associated with age group and gender. Mean standard deviations were considered significant (P<0.05).

Results: The results confirm that children from consanguineous families have a significantly (p < 0.05) greater burden of refractive errors, especially for myopia, than children from non-consanguineous families. This emphasizes the importance of screening and intervention programs focused on the population with high consanguinity rates.

Conclusion: Children from consanguineous families had a greater frequency of refractive errors, according to the study, highlighting the importance of focused screening and eye care. These therapies can lessen vision impairment while promoting the social and academic growth of kids.

Keywords: Consanguineous, Consanguinity, retina, Vision
Identification of Biomarker-Based Strategies for Managing Chronic Inflammation in Polycystic Ovarian Syndrome to Alleviate Population-Level Disease Burden
Authors: Akram Shamim , Kadir Salma , Khalid Maham , Shah Marifat , Imran Sajida , Qadir Aaisha
Published: February 2025

Background: Polycystic Ovarian Syndrome (PCOS) is a common endocrine disorder of women of reproductive age with chronic inflammation, insulin resistance, and metabolic dysfunction. Although it is common in Pakistan, PCOS is underdiagnosed and contributes to the development of infertility, cardiovascular disease, and metabolic complications. As a result, the identification of biomarkers for early diagnosis and effective management of the disease requires strategies based on chronic inflammation.

Objectives: This study was designed to evaluate inflammatory biomarkers in PCOS patients to compare them with healthy controls and to evaluate the relationship with the metabolic parameters to establish potential diagnostic and therapeutic targets of PCOS.

Methods: A cross-sectional study was done at tertiary care hospitals in Lahore, Pakistan, among 120 PCOS patients and 60 age-matched healthy controls. Enzyme-linked immunosorbent assay (ELISA) was used to determine serum levels of C reactive protein (CRP), interleukin 6 (IL 6), and tumor necrosis factor-alpha (TNF alpha). Anthropometric and metabolic parameters, which included BMI, WHR, FBG, HOMA-IR, and lipid profile, were assessed. SPSS 25.0 was used to perform statistical analysis, and p < 0.05 was taken as statistically significant.

Results: The CRP, IL-6, and TNF-α levels were significantly elevated in PCOS patients compared to controls (p < 0.001). Chronic inflammation is also related to metabolic dysfunction as BMI, WHR, insulin resistance, and dyslipidemia are significantly higher.

Conclusion: PCOS is characterized by a pro-inflammatory state, which, together with metabolic and cardiovascular risks, contributes to the pathogenesis of PCOS. This could enable early detection and personalized treatment strategies via biomarker-based screening. Future research will be directed towards Anti-inflammatory interventions, Genetic markers, and Targeted therapies to enhance the management of PCOS in Pakistan.

Keywords: PCOS, Chronic Inflammation, Biomarkers, CRP, IL-6, TNF-α, Insulin Resistance, Metabolic Syndrome, Pakistan.
Postoperative Pain Management and Opioid Reduction in Oncologic Breast Surgery
Authors: Ali Ahmad , Ali Dal Nawaz , Murtaza Ghulam , Umer Shafiq Muhammad , Nasir Shua , Shehbaz Lal
Published: February 2025

Background: The opioid crisis in the worldwide has led to an international public health disaster. Opioid overdose deaths have grown dramatically, owing primarily to opioid overprescription for pain management. This research work looks into the usage of liposomal bupivacaine (LB) as a substitute to opioids. The primary application is for postoperative pain management in breast cancer surgery.

Aims and Objective: The goal of this study was to see how well liposomal bupivacaine reduced postoperative pain. To assess opioid intake in patients experiencing a mastectomy, incomplete mastectomy, excisional biopsy and sentinel lymph node biopsy.

Methods: This Retrospective study involved 60 female patients and was conducted at Liaquat University of medical and health sciences Jamshoro. These patients received breast cancer surgery between May 2022 and January 2023. Liposomal bupivacaine was delivered to patients through surgery. By using the Numerical Pain Rating Scale (NPRS they were followed up with pain assessments. Postoperative opioid and nonopioid analgesic usage were monitored.

Results: Patients receiving liposomal bupivacaine reported significantly lower pain scores compared to those who did not, with NPRS scores reduced by postoperative day 7 (median: 1.2 vs. 2.2 for partial mastectomy; p<0.05). LB-treated patients required fewer opioids (median: 2.2 pills for excisional biopsies vs. 6.0 without LB; p<0.05). Non-opioid or no analgesics were sufficient for 38.2% of LB recipients, compared to only 7.7% in the non-LB group. The greatest opioid reduction was observed in less invasive procedures.

Conclusion: Liposomal bupivacaine successfully alleviates postoperative pain and opioid use. This effect was predominantly evident in less invasive breast cancer operations. This treatment may support lessen the opioid problem via providing a practical analgesic option.

Keywords: Postoperative recovery, liposomal bupivacaine, opioid reduction, pain management, breast surgery.
Pathophysiological Role of Hormonal Alterations in Recurrent Urinary Tract Infections among Postmenopausal Women: A Clinical Cross-Sectional Study
Authors: Asif Muhammad , Aziz Moizza , Imran Sajida , Ahmad Rubab , Sadaf Hina , Vishal FNU
Published: February 2025

Background: In postmenopausal women, recurrent urinary tract infections (rUTIs) are common, occurring in most cases due to hormonal changes following the menopause. Urinary microbiota dysbiosis and compromised urothelial integrity have been implicated for estrogen deficiency.

Objective: In this study, the role of hormonal alterations, urinary microbiota, and immune markers in predisposing postmenopausal women to rUTI is investigated.

Methods: A cross-sectional study was done in n=150 postmenopausal women, n=75 with rUTIs and n=75 controls. ELISA, 16S rRNA sequencing and multiplex immunoassay were used to assess serum hormone levels, urinary microbiota composition and immune biomarkers. T-tests, chi-square tests and logistic regression were used in statistical analysis.

Results: Estradiol levels (10.3 ± 3.7 pg/mL vs. 17.6 ± 5.2 pg/mL; p<0.001), Lactobacillus abundance (22.4% vs. 54.1%; p<0.001) were significantly lower in women with rUTIs compared to women without rUTIs. As well, the rUTI group had elevated IL-6 and TNFα levels (p<0.01) and decreased E-cadherin and cathelicidin (p<0.01).

Conclusion: rUTIs in postmenopausal women are caused by the combined effect of hormonal alterations, microbiota dysbiosis, and immune dysregulation. These findings underscore the urgent need for personalized therapeutic strategies aimed at these factors.

Keywords: Postmenopause, Recurrent urinary tract infections, Hormonal alterations, Estrogen deficiency, Urinary microbiota, Immune biomarkers, Dysbiosis.
Prospective Biomarker-Based Strategies for Early Diagnosis and Management of Periodontal Diseases: A Clinical Observational Study
Authors: Mansoor Nadia , Ahmad Muhammad , Tariq Uzma , Raffi Sadaf , Mahmood Usman , Akhlaq Humera
Published: February 2025

Background: Periodontal diseases are chronic inflammatory diseases of the supporting structures of teeth, leading to destruction and systemic associations. Historically the diagnostic methods have relied on clinical and radiographic techniques which reflect historical tissue destruction more so than active disease processes. Biomarker-based diagnostics are also poised to provide a promising avenue for early detection, disease monitoring as well as precision treatment strategies.

Aims and objectives: This study aimed to evaluate the clinical relevance of salivary and gingival crevicular fluid (GCF) biomarkers in the diagnosis of periodontal diseases, monitoring disease progression, and treatment response.

Methodology: A Clinical Observational Study was carried out from December 2020 to December 2022 considering sample size n=150 patients divided into healthy, gingivitis and periodontitis groups. At baseline, three months, and six months post-treatment periodontal parameters and levels of IL-1β, TNF-α, MMP-8, MMP-9, RANKL/OPG ratio, and 8-OHdG were measured. The associations of biomarkers with disease severity were determined by statistical analysis of ANOVA and correlation tests.

Results: Biomarker levels were significantly elevated in gingivitis and periodontitis patients compared to healthy controls (p < 0.001). Post-treatment, inflammatory markers declined, but IL-1β, TNF-α, and 8-OHdG remained elevated in periodontitis, indicating persistent inflammation. The RANKL/OPG ratio remained high, suggesting continued bone resorption despite therapy. Strong correlations were observed between biomarkers and clinical parameters, reinforcing their diagnostic utility.

Conclusion: Biomarker-based diagnostics provide an objective, real-time tool for periodontal disease detection and management. Their integration into routine periodontal assessment can enable early diagnosis, precision treatment, and improved long-term outcomes. Future research should focus on point-of-care biomarker assays and adjunctive host-modulation therapies to optimize periodontal care.

Keywords: Periodontal disease, biomarkers, salivary diagnostics, inflammatory markers, bone resorption, early detection, precision periodontology, RANKL/OPG, periodontal therapy.
Bimbingan Kesehatan Untuk Pencegahan dan Pengendalian Penyakit Selama Berhaji Pada Calon Jemaah Haji Kecamatan Nusaniwe Kota Ambon
Authors: Kastella Faysal , Nurlina Wa Ode , Kombong Rita , Masri Lidi , Rohmah Khasanatu
Published: February 2025

Manasik kesehatan haji adalah kegiatan penyuluhan atau pemberian informasi kepada calon jemaah haji yang berfokus pada upaya promosi dan pencegahan terkait pembinaan, pelayanan, serta perlindungan kesehatan. Tujuannya adalah membantu jemaah memahami cara mencegah dan mengatasi masalah kesehatan yang mungkin terjadi selama perjalanan ibadah. Melalui bimbingan ini, diharapkan jemaah dapat meningkatkan pengetahuan dan keterampilan menjaga kesehatan secara mandiri, sehingga mampu melaksanakan ibadah haji dengan lancar dan optimal.. Metode dalam kegiatan ini adalah lecturer edukasi, interactive learning, diskusi, sharing session dan konsultasi pribadi. Jemaah juga diberikan instrumen pengukuran tingkat pengetahuan sebelum dan sesudah kegiatan. Kegiatan dilaksanakan pada kelompok calon jemaah haji kecamatan Nusaniwe berjumlah 35 orang beserta keluarga pendamping jemaah lansia. Dengan sebagian besar latar belakang pendidikan jemaah yang terbatas, perlu menggunakan metode komunikasi visual, penggunaan bahasa yang sederhana dan mudah dipahami, interaktif serta simulasi dan demonstrasi seperti; cara mencuci tangan yang hygienis, atau cara penggunaan masker dengan benar. Penggunaan pendekatan yang berulang dan bertahap melalui sesi kelompok kecil atau konsultasi pribadi yang dapat dilakukan untuk memastikan materi yang dipahami, tentunya dengan melibatkan aspek religi, artinya hubungkan kesehatan dengan nilai-nilai ibadah agar lebih relevan dan diterima. Diharapkan kegiatan ini dapat dilaksanakan secara berkelanjutan dengan bekerja sama dengan Kantor Urusan Agama (KUA) di kota Ambon, untuk meningkatkan kepedulian calon jemaah haji dalam mempersiapkan kesehatan sebelum menunaikan ibadah haji
Penyuluhan Pengelolaan Sampah sebagai Upaya Mewujudkan Lingkungan Bersih dan Sehat di Kelurahan Babakan Asih Bandung
Authors: Maryani Lidya , Sianipar Imelda MG , Sinaga Anni , Siagian Ira Ocktavia , Widawati Widawati , Utari Ardini Dwi , Uhnana Iren Sany , Nassa Natasia joan
Published: February 2025

Pengelolaan sampah perkotaan merupakan isu lingkungan dan kesehatan yang semakin mendesak, terutama di kota-kota besar seperti Bandung. Sampah organik, terutama sisa makanan, menyumbang lebih dari 65% dari total limbah perkotaan, apabila tidak ditangani dengan baik akan terjadi pencemaran lingkungan dan berisiko membahayakan kesehatan masyarakat. Pengabdian masyarakat ini bertujuan untuk menggambarkan peran penyuluhan pengelolaan sampah sebagai strategi edukatif sehingga dapat meningkatkan pengetahuan dan kesadaran masyarakat perkotaan. Metode penyuluhan yang diterapkan meliputi sesi ceramah, diskusi interaktif, serta tanya jawab yang didukung oleh media PowerPoint dan leaflet sebagai alat bantu edukasi. Kegiatan ini dilaksanakan di RW 02, Kelurahan Babakan Asih, Kecamatan Bojongloa Kaler Bandung, yang melibatkan 28 peserta dari masyarakat setempat. Untuk mengukur efektivitas program penyuluhan, dilakukan evaluasi melalui pre-test dan post-test guna mengetahui sejauh mana pemahaman peserta tentang pengelolaan sampah. Hasil analisis didapatkan peningkatan yang signifikan dari pengetahuan peserta, dibuktikan dengan nilai rata-rata post-test yang lebih tinggi dibandingkan pre-test, serta adanya perubahan positif dalam pemahaman tentang jenis sampah dan cara pengelolaannya. Program pengabdian Masyarakat ini membuktikan bahwa edukasi yang efektif dapat mendorong perubahan pengetahuan yang berkontribusi pada terciptanya lingkungan perkotaan yang lebih bersih dan sehat. Diperlukan program edukasi berkelanjutan dengan metode yang lebih interaktif dan memperkuat kerja sama pemerintah dan institusi pendidikan untuk meningkatkan kesadaran dan perubahan perilaku dalam pengelolaan sampah.
E-Health implementation in the Democratic Republic of the Congo: Current position
Authors: Djamba Kalema Josue , Havyarimana Vincent , Mbambazi Businge Phelix , Niyongabo Julius
Published: February 2025

E-health holds significant potential to address healthcare challenges in the Democratic Republic of Congo (DRC), a nation grappling with limited resources, vast geographical distances, and a fragile health system. This paper examines the current state of e-health implementation in the DRC, exploring existing initiatives, key achievements, and persistent obstacles. While nascent, e-health adoption is gaining momentum, driven by factors like increasing mobile phone penetration and government recognition of its potential. Successful projects include mHealth programs for disease surveillance, maternal health, and HIV/AIDS management, demonstrating positive impacts on data collection, patient follow-up, and health outcomes. However, significant challenges remain. These include inadequate infrastructure, particularly reliable internet access and electricity, limited funding, a shortage of skilled human resources in ICT and health informatics, and issues of interoperability between different systems. Furthermore, regulatory frameworks and national e-health strategies are still under development, hindering coordinated and sustainable implementation. This paper concludes by highlighting the need for strategic investments in infrastructure, capacity building, and policy development to unlock the full potential of e-health and improve healthcare delivery in the DRC.
Los Oníricos
Authors: Cuevas Peña Guillermina
Published: February 2025

Con el estilo ágil, ya muy característico de su narrativa, Guille Cuevas nos muestra en estos textos cómo los sueños son capaces de las más arriesgadas historias. Recorriendo las calles centrales de nuestra Colima y sintiendo el calor a nuestras espaldas, Los Oníricos, como las pesadillas más audaces y recurrentes, nos pueden suceder aún, en la vida real.
V МЕЖДУНАРОДНАЯ НАУЧНАЯ КОНФЕРЕНЦИЯ "ВЛИЯНИЕ ИЗМЕНЕНИЯ КЛИМАТА НА БИОЛОГИЧЕСКОЕ РАЗНООБРАЗИЕ И РАСПРОСТРАНЕНИЕ ВИРУСНЫХ ИНФЕКЦИЙ ЖИВОТНЫХ В ЕВРАЗИИ"
Authors: ШЕСТОПАЛОВ А М. , АЛЕКСЕЕВ А Ю. , ПАЛЬЯНОВА Н В.
Published: February 2025

Сборник материалов V Международной научной конференции «Влияние изменения климата на биологическое разнообразие и распространение вирусных инфекций животных в Евразии» посвященной 10-летию НИИ Вирусологии содержит тезисы пленарных и секционных докладов, в которых представлены последние достижения в области исследований изменения климата, инфекционных патогенов, переносимых дикими птицами, их эпидемиологии, эпизоотологии, а также оперативной диагностики. Издание адресовано молодым специалистам, занимающихся проблемами на стыке разных научных направлений в области орнитологии, зоологии, вирусологии, молекулярной биологии, эпидемиологии, эпизоотологии. Тезисы докладов воспроизведены в авторской редакции.
Combating false information in Emergencies: Leveraging LLMs for Targeted False Information and Clarification Generation
Authors: Lin Jiahong
Published: February 2025

The rapid dissemination of false information during emergencies has become a significant challenge in managing online public opinion. While large language models (LLMs) have enhanced the speed and efficiency of information generation, they have also exacerbated the complexity of public sentiment by facilitating the spread of both false and clarifying information. This paper addresses the critical need for targeted clarification information to counteract false narratives during emergencies. We propose a novel approach by fine-tuning open-source LLMs to generate both false information and corresponding clarification texts, tailored to specific emergency scenarios and public opinion dynamics. By constructing a high-quality dataset of 1,715 paired false and clarification information samples from authoritative platforms, we employ a task-separated fine-tuning strategy using LoRA (Low-Rank Adaptation) to optimize model performance. Our evaluation metrics, including text fluency (BLEU), novelty (NOV), and diversity (DIV), demonstrate that fine-tuned models, particularly LLaMA3.1, excel in generating coherent and relevant texts. The results highlight the potential of LLMs in both generating and debunking false information, offering a robust framework for improving public opinion management during emergencies. This research contributes to the growing body of work on false information mitigation and provides practical insights for leveraging LLMs in crisis communication.
Supply, Security and Sustainability: British Wartime Administration in the Middle East, 1941-1945
Authors: Long Yifei
Published: February 2025

During World War II, Britain established the Middle East Supply Center in the Middle East to coordinate and manage the economies of the countries in the Middle East, so as to ensure Britain's control over the Middle East and to make use of the strategic location of the Middle East to allow the Middle East to develop into a supply base and transportation corridor for the Allied Forces. The Middle East Supply Center (MESC) began as an advisory agency, but as its authority continued to expand, it gradually became the largest representative of British national interests in the Middle East. Acting under the duty of contributing to the war effort of the Allied Forces, The Middle East Supply Center was rather successful which tackled various crises and more importantly, making Middle East an invaluable supply route, bringing out the strategic potential of the Middle East. However, the Middle East Supply Center and the role of colonialism it represented could not win the future of the Middle East. It not only failed to ensure Britain's influence in the Middle East intact, but also failed to receive support from the United States and Middle Eastern states. It’s not merely a matter of power, but a matter of leadership in postwar world order.
Civil Rights for All: Multiracial Identities and the Legacy of the Civil Rights Movement in the United States
Authors: Zhao Zipeng
Published: February 2025

The Civil Right Movement (CRM) in the United States has profoundly reshaped the racial politics, reconfigured the racial dynamics, and inspired extensive historiographical scholarship on African American grassroot political activism in the post-neoliberal era. However, the movement’s multiracial dimensions have remained relatively underexplored. The essay employs a subaltern approach, centring on grassroots political activism against the deprivation of labour, cultural and political rights of Mexican Americans and Indigenous Americans within the CRM. This highlights the influence of the foundational philosophy of the African American CRM while also underscoring the movements’ remodelling based on differing pursuits of each racial group. By integrating with a comparative analysis of the contemporary CRM efforts among these marginalized groups, the essay highlights how these movements inherit the original CRM’s political philosophy while adapting their new purposes and actions. This adaptation is framed within the broader context of political polarization, the entrenchment of racial inequality, and the rise of “symbolic racism,” reflecting the enduring legacy of the original CRM. Given the essay’s unipolar focus on race in analysing the grassroots activism of these racial groups, incorporating a nuanced examination of gender and class within the historiographical framework would offer a more detailed differentiation of the social-cultural challenges faced by subgroups within these communities. Such an approach would make a judicious contribution to the future scholarship on the CRM.
Exploring the Impact of China-Chic's Rise on "Generation Z" National Confidence in the Era of Digital Empowerment
Authors: Li Xinghan , Sun Jiameng
Published: February 2025

In the context of rapid digital economic growth, the phenomenon of China-Chic has emerged as a significant cultural movement, particularly resonating with Generation Z consumers and potentially enhancing their national cultural confidence. This study explores the intricate relationship between the rise of China-Chic and the development of cultural confidence among Generation Z through a mixed-methods approach. Utilizing a systematic literature review, quantitative survey data, and theoretical framework analysis, we investigate three key dimensions: (1) the evolving consumption patterns of Generation Z concerning China-Chic products, (2) the strategic integration of traditional cultural elements in the branding of China-Chic, and (3) the mechanisms by which China-Chic influences national cultural confidence. Our findings illuminate the connection between consumption preferences and national identity, highlighting how China-Chic brands leverage cultural elements to foster national confidence. This research addresses a theoretical gap in understanding the role of commercial cultural phenomena in shaping national identity among young consumers. Additionally, it offers practical insights for brands seeking to incorporate cultural elements into their strategies to bolster national cultural confidence. The study lays a foundation for future research at the intersection of consumer behavior, cultural identity, and national confidence in the digital age.
German Classical Aesthetics: The Debate between Poetry and Philosophy
Authors: Li Xingjie
Published: February 2025

The debate between poetry and philosophy is an important part of the German classical aesthetics debate. Kant not only emphasizes that aesthetic judgment is not cognitive judgment, but also regards the judgment on which aesthetic judgment depends as one of human cognitive ability. It not only emphasizes the distinction between beauty and goodness, but also thinks that it can transition from natural beauty to morality. Schiller broke Kant's compromise position and argued that beauty not only does not corrupt morality, but is the foundation of freedom. Under the guidance of rational spirit and dialectic spirit, Hegel reconciled the conflict between poetry and philosophy. The debate between poetry and philosophy has long been a normal part of European classical aesthetics, so this paper makes a deep exploration of this topic from the perspective of German classical aesthetics, and tries to find a foothold for the debate from the ideological viewpoints of many philosophers.
The Role of AI In Predicting Students' Academic Grades
Authors: Yuan Zihan
Published: February 2025

Students' academic performance is crucial to educators, parents, and researchers. It is a key basis for evaluating education quality and making decisions. It is necessary to understand and predict performance accurately. This study focuses on the prediction of students' academic performance and comprehensively explores the factors affecting performance and prediction methods. The factors influencing academic performance were analyzed from multiple perspectives, including personal perspective, learning motivation and time management, and family and teacher factors. In terms of prediction methods, an overview of machine learning and deep learning prediction models is given, such as Extreme Gradient Boosting (XGBoost), Logistic Regression (LR), Back Propagation Neural Networks (BPNN), etc. These methods all show good prediction results. The study found that multiple factors are intertwined to form a complex performance-influencing mechanism. Although existing prediction methods are diverse and effective, they still face problems such as difficulty in obtaining data sets, high costs, incomplete data, and insufficient model adaptability, which can easily lead to prediction bias. This study aims to improve prediction accuracy, serve educational and teaching practices, and promote the improvement of education quality by optimizing data set utilization, developing adaptive models, and interdisciplinary collaboration.
Design of a Selective Leakage Protection System for Coal Mine Load Center
Authors: Ju Zhe , Zhang Hongkui
Published: February 2025

Leakage protection is one of the three major protections in coal mines and is a crucial safeguard for the safety of underground workers. Based on an analysis of the current state of selective leakage protection systems in coal mine load centers, this paper designs a leakage fault protection system for coal mine load centers using a combination of an additional DC power supply method and zero-crossing triggering method, thereby improving the reliability of leakage protection in coal mine load centers.
The Impact of Fossil Fuel Consumption, Renewable Energies, and Economic Growth on Environment Change in Lithuania
Authors:   Department of Banking and Accounting, Near East University, Nicosia, Cyprus, Diaby Assitan , Seraj Mehdi ,   Department of Economics, Near East University, Nicosia, Cyprus, Ozdeser Huseyin ,   Department of Economics, Near East University, Nicosia, Cyprus
Published: February 2025

The world is approaching a critical juncture beyond which climate change may become irreversible, threatening the entitlement of current and future generations to a healthy and sustainable planet. Therefore, this study assesses the impact of fossil fuels, renewable energy, and economic growth on carbon dioxide (CO2) emissions in Lithuania, using data from 1996 to 2020. The Autoregressive Distributed Lag (ARDL) bound test is employed to examine the long-term relationship between these variables. Additionally, the ARDL model is used to evaluate the individual effects of each variable on CO2 emissions. Surprisingly, the findings reveal that fossil fuels reduce the harmful impact of carbon emissions in Lithuania, while investment in renewable energy mitigates and alleviates these emissions. However, economic growth is positively and significantly associated with an increase in carbon emissions, suggesting that emissions will rise as the economy expands. These results advocate for policies that promote sustainable economic growth, foster the adoption of environmentally friendly investments, and enhance resilience to mitigate CO2 emissions and address climate change in Lithuania. 
Comparative analysis of three algorithms in multi-armed bandit problems
Authors: Shao Jianke
Published: February 2025

As the discipline of machine learning becomes more and more popular and algorithms for Multi-Armed Bandit (MAB) problems are used more and more frequently, how to choose the appropriate algorithms in contexts with different characteristics is an important topic. Therefore, this study compares the three algorithms by introducing the core connotation and advantages and disadvantages of the explore-then-commit algorithm, upper confidence bound algorithm, and thompson sampling algorithm, and gives the three algorithms' existing optimisation algorithms at the moment, which provides a reference to the selection of suitable algorithms. The Explore-Then-Commit (ETC) algorithm is simple, whereas the Upper Confidence Bound (UCB) algorithm optimises the interface between the exploring and exploitation phases of the ETC algorithm and thus performs relatively consistently, the Thompson sampling algorithm outperforms the first two algorithms in many cases as it naturally balances exploration and exploitation. ETC is suitable for static environments, and UCB is suitable for scenarios where there is continual exploration. However, as more data is available, regret must be reduced over time. decreases and scenarios where there is a need to reduce regret over time, and the Thompson sampling algorithm is suitable for highly uncertain environments.
A Study on Neural Network-Based Millimeter-Wave Path Loss Modeling for Indoor Application Scenarios
Authors: Zhou Ruize
Published: February 2025

Millimeter-wave (mmWave), with its abundant spectral resources, has become a key technology for achieving the high-speed and low-latency goals of 5G and post-5G communications. As the carrier frequency increases, wireless channels exhibit strong frequency dependence in terms of delay, spatial angle, and loss characteristics. Given the decisive impact of channel characteristics on the performance limits of wireless systems, an in-depth exploration of wireless channel characteristics is a necessary prerequisite for the design and deployment of millimeter-wave wireless communication systems [1]. When the carrier frequency rises to the millimeter-wave range, the first to be affected is the loss characteristics. Due to propagation state transitions caused by dense scatterers and multipoint mobility, path loss undergoes rapid variations. Timely and accurate modeling of path loss presents a significant challenge. To address this, this paper investigates a millimeter-wave path loss model for indoor environments based on artificial neural networks. By leveraging the advantages of artificial neural networks in solving nonlinear problems, the path loss factors of large-scale path loss models in various environments are extracted as features. A neural network model was trained to classify line-of-sight (LOS), non-line-of-sight (NLOS), and combined LOS-NLOS areas. Based on predefined thresholds, the Close-In free space reference distance path loss model (CI) or the Floating-Intercept path loss model (FI) is selectively applied to model path loss in LOS and NLOS areas efficiently, enhancing the real-time performance and efficiency of channel measurement and modeling.
YOLO-ACD: Robust Lightweight Detector for Ancient Character Detection
Authors: Song Yucheng , Zhang Chuang , Wu Ming
Published: February 2025

Ancient character detection serves an important role in paleographic studies and archaeological work. Unlike modern characters or text, ancient character renders common text detection algorithms inapplicable due to its complex arrangement patterns and highly variable backgrounds. Current methods commonly adopt general object detection models, which often struggle with the unique challenges of ancient characters. In this paper, we propose a lightweight ancient character detection method based on YOLO detector called YOLO-ACD. Starting from an efficient YOLO structure, to address the defects and adhesion due to coarse scanning or rubbing of the characters, we propose a novel high-frequency channel attention (HFCA) module to guide model for precise saliency extraction of strokes. To eliminate the interference of noisy backgrounds on the character area, we integrate a context-aware spatial attention (CASA) module. Furthermore, in order to overcome the limitations posed by limited training samples, we propose the incorporation of spectral clustering results as extra confidence scores, with the objective of enhancing the recall rate of the predictions. Extensive experiments on two ancient character datasets, including Chinese oracle bone script and Egyptian hieroglyphs, demonstrate that our method outperforms both mainstream and similar approaches. Compared to baseline model, the mAP is improved by 9.8-12.5%. The code of the proposed method will be available at GitHub.
Empowering Minority Women Through Technology: Promoting Educational and Economic Inclusion in Xinjiang with Virtual Reality, Blockchain, and Artificial Intelligence
Authors: Wang Yupin
Published: February 2025

This study explores the transformative potential of Virtual Reality (VR), Blockchain, and Artificial Intelligence (AI) in empowering minority women in Xinjiang, China, by addressing systemic educational and economic inequalities. The research investigates how these technologies can bridge gaps in access to quality education, promote financial inclusion, and foster sustainable economic development in a region characterized by cultural diversity and gendered socioeconomic challenges. VR offers immersive and flexible learning environments, enabling bilingual education and cultural preservation. Blockchain facilitates secure financial transactions and market access, empowering women entrepreneurs. AI supports personalized learning and vocational training, enhancing skills for emerging industries. Despite these opportunities, challenges such as resource constraints, cultural resistance, and infrastructural limitations hinder widespread adoption. This paper provides actionable recommendations for integrating technology with local cultural contexts, emphasizing the importance of multi-stakeholder collaboration, infrastructure investment, and tailored policy design to ensure sustainable and inclusive development.
A Review of Feature Matching Based Image Tampering Detection Methods
Authors: Guan Zekai
Published: February 2025

In recent years, digital image tampering detection techniques play an increasingly important role in dealing with digital image authenticity detection. This review analyzes in detail the feature matching based image tampering detection methods that mainly target the copy-paste tampering problem. Among such methods are subdivided into two subcategories: feature block-based and feature point-based detection. Traditional methods such as feature-point based SIFT and feature-block based Zernike Moments match by extracting local features or global features, but their performance is limited under high noise, low contrast and complex transformations. For this reason, this paper focuses on analyzing a hybrid framework that combines deep learning and traditional methods in addition to traditional methods. This hybrid framework significantly improves the detection efficiency and accuracy. In addition, this paper summarizes the commonly used datasets and their characteristics. It is shown that the hybrid framework demonstrates superiority in dealing with complex geometric transformations and post-processing operations, but there is still room for improvement in detecting small tampered regions. Future research should focus on efficiently fusing multiple methods to adapt to more diverse and complex tampering scenarios.
Entrepreneurial Knowledge on Entrepreneurial Intention: The Mediating of Perceived Desirability and Perceived Feasibility
Authors: Sulistyorini Yekti , Santoso Budi
Published: February 2025

Entrepreneurship plays an important role in the creation and growth of business as well as the growth and prosperity of the region and the country. The importance of entrepreneurship in job creation and economic development is recognized worldwide. This  research  is  motivated  by  the  low  entrepreneurial  intention  of  Vocational  High  School students which is also have an impact on unemployment. This study aims to determine and analyse the mediating effect of perceived desirability and perceived feasibility on the effect of entrepreneurial knowledge on entrepreneurial intention. The method used in study is an explanatory survey research with data collection techniques through a questionnaire and observation. The population of this study were students of PGRI Bandung Vocational High School class XI and XII academic year 2019/2020 as many as 305 students and sample of this research is 176 students. The results show that: 1) entrepreneurial knowledge has a significant effect on entrepreneurial Intention 2) perceived desirability mediates the effect of entrepreneurial knowledge on entrepreneurial intention 3) perceived feasibility mediates the effect of entrepreneurial knowledge on entrepreneurial intention.
Extracurricular Physical Exercise Behavior and Motivation of College Students
Authors: Gao Tian , Rue Lynette P.
Published: February 2025

The study examined the extracurricular physical exercise behavior and motivation of selected students in Xingtai Vocational College of Applied Technology. By shedding light on these effects, the study aimed to provide insights into an action plan that addressed the results. The study measured the extent of extracurricular physical exercise behavior in terms of attitude, subjective norms and perceived behavioral control. Moreover, the study also included the level of motivation in physical exercise in terms of stress control, health, sociability, competitiveness, aesthetics, and pleasure. Three hundred six students out of 1500 population size were the respondents of the study, and all the data were gathered through validated questionnaires. The findings revealed a notable high extent of extracurricular physical exercise behavior and a high level of motivation on the extracurricular physical behavior. No significant differences were observed in the extent of extracurricular physical exercise behavior and the level of motivation as grouped according to sex and course. The study emphasized the importance of implementing an action plan to address issues and improve extracurricular physical exercise. The results also highlighted the need to seek professional development opportunities and the attainment of a more profound understanding of the current industry challenges and success. The study also suggested the sufficient allocation of resources and finance.
Tailored Spiritual Support for the Aging Population: Developing a Model for Religious Counseling in Long-Term Care Facilities
Authors: Owot Jennifer Akello , Imohiosen Cyril Enahore , Ukpo Sam David , Ajuluchukwu Pius
Published: February 2025

As the global aging population continues to grow, the need for holistic care in long-term care facilities has become increasingly important. While medical and psychological support remain fundamental, spiritual well-being plays a crucial role in enhancing the quality of life for elderly individuals. This review explores the development of a tailored model for religious counseling in long-term care facilities, emphasizing the integration of spiritual support into comprehensive elder care. Religious counseling offers comfort, meaning, and emotional resilience to aging individuals who often face loneliness, grief, existential concerns, and end-of-life transitions. By addressing diverse faith traditions and personal spiritual needs, tailored spiritual support can contribute to emotional stability, social engagement, and improved overall well-being. This proposes a structured framework for integrating religious counseling into long-term care settings, highlighting key components such as individualized spiritual assessments, pastoral and chaplaincy services, group religious activities, and family involvement in spiritual care. Challenges in implementing religious counseling, including religious diversity, institutional resistance, financial constraints, and ethical considerations, are also examined. Potential solutions, such as training staff in interfaith communication, fostering collaboration with religious organizations, and leveraging technology for virtual spiritual counseling, are discussed. The review also presents case studies from successful models of spiritual care in elder care facilities, demonstrating the tangible benefits of integrating religious support into healthcare settings. Ultimately, this study advocates for policy development, institutional support, and further research on spiritual well-being in aging populations. By adopting a tailored approach to religious counseling, long-term care facilities can provide a more compassionate and holistic environment that respects and nurtures the spiritual dimensions of elderly residents, promoting dignity, hope, and emotional well-being in their later years.
Does Digital Financial Inclusion Promote Common Wealth?
Authors: Fei Baoxiang , Tang Yanjun
Published: February 2025

The development of digital inclusive finance provides more convenient and efficient financial services to the general public and is expected to be an important force in promoting common prosperity. However, the digital divide - i.e. differences in access to and use of digital resources among different groups - may limit the popularity and effectiveness of digital inclusive finance. The digital divide that exists between urban and rural areas, and between groups with different income and education levels, may lead to unequal access to financial services, thus affecting the realization of financial inclusion and the advancement of common wealth. This project analyzes the impact of the digital divide threshold on the effect of digital financial inclusion and the role of digital financial inclusion on common wealth under different levels of digital divide by constructing a systematic GMM model and using the entropy-weighted Topsis method to measure the common wealth indicator system. The research of this project helps to narrow the digital divide, promote the development of digital inclusive finance, and provide empirical support and policy recommendations for realizing the goal of common wealth.
Failure Model of Nonlinear Creep Damage Evolution of Rock based on PFC
Authors: Xu Cheng
Published: February 2025

This study investigates the creep behavior and crack evolution characteristics of rock under axial pressure and shear loads using the Particle Flow Code (PFC2D) software. The results show that the rock exhibits typical three-stage creep behavior, including transient creep, steady-state creep, and residual stability stages under both axial pressure and shear load. Under axial pressure, the displacement decay rate is slower, with compression-dominated deformation and significant suppression of crack propagation due to the confining pressure. This delays the occurrence of accelerated creep. In contrast, under shear load, the displacement decay rate is faster, and cracks propagate along the shear direction, forming a distinct shear band with a failure mode combining tensile and shear fractures. Crack propagation under axial pressure primarily consists of localized shear-type microcracks, reflecting the suppressive effect of confining pressure, while shear load induces crack formation along the maximum shear stress direction, transitioning from tensile microcracks to through-going shear cracks over time. These findings suggest that high confining pressure in deep underground environments can effectively inhibit rock creep deformation, but attention must be given to the evolution of microcracks in locally stressed regions.
Research on Intelligent Ship Path Planning Method
Authors: Zang Chunjian , Guo Shaoyi , Wang Haoran
Published: February 2025

With the rapid development of science and technology, the shipbuilding industry has ushered in an information revolution, and the level of ship intelligence is increasing day by day. Intelligent ships bring new opportunities and challenges to the development of the shipbuilding industry. Intelligent navigation is one of the core technologies that constitute intelligent ships. It achieves autonomous navigation, path optimization, and real-time decision-making for ships by integrating advanced sensors, data processing, and artificial intelligence algorithms, thereby improving navigation efficiency and safety. This article will focus on the route planning methods for intelligent navigation of intelligent ships, exploring aspects such as environmental modeling, navigation constraints, and algorithm design, thus providing reference significance for the development of autonomous navigation technology for intelligent ships.
Research on the Optimization Technology of Indoor Thermal Environment of Traditional Folk Houses in Liangshan Mountains
Authors: Liang Baofeng , Liang Yueyan , Pan Minghui , Zhao Yang
Published: February 2025

As a significant component of China's historical architectural heritage, traditional dwellings in the Liangshan region offer a wealth of ecological construction experience. However, due to the age-old limitations of traditional construction techniques, the indoor thermal environment of these dwellings during winter is a salient issue. This paper investigates the current status of the indoor thermal environment in winter using a multifaceted research method that incorporates Climate Consultant climate analysis software, on-site measurements, numerical simulation and theoretical analysis. The study focuses on the Aqiu Lajia, a representative traditional house from Sijiji Village, to provide a case study for analysing and optimising the indoor thermal environment. The study's findings indicate that enhancing the thermal performance of the enclosure structure can lead to an increase in indoor temperature ranging from 2.4℃ to 3.2℃, achieved through the incorporation of thermal insulation layers in the roof and wall sections.Furthermore, the simulation of various building orientations revealed that the south-eastern 15° orientation is effective in reducing wind speed and pressure during winter months, thereby enhancing the natural ventilation effect. The transformation of traditional single-glazed windows into double-glazed windows has been shown to increase indoor temperature by up to 2.69°C whilst simultaneously enhancing thermal insulation performance.The findings of this study provide a scientific basis and technical support for the conservation, protection and renewal of traditional houses in the Liangshan area, and represent a significant theoretical and practical contribution to the sustainable protection and renewal of traditional buildings.