bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving Athletic Training Through the Integration of Convolutional Neural Networks and Feature Extraction Techniques
Authors: Li Kun , Aghdam Mohammad Reza Ghavidel , Khishe Mohammad , Naghavi Alireza 
Published: November 2024

Abstract

This paper presents an innovative approach to improving athlete performance using advanced technology. It introduces a convolutional neural network (CNN) designed to classify training videos of athletes. The CNN architecture includes layers for processing data, such as convolutional, pooling, fully connected, and activation function layers. These layers help identify different types of training, like sprinting, strength exercises, and agility drills. Critical features like motion patterns, body posture, speed, and repetition rate are analyzed to boost performance. The model uses a structured data preprocessing and fusion strategy to enhance accuracy. Tested on the UCF101 dataset, the model demonstrated excellent accuracy, precision, recall, and F1-score results through holdout and K-fold validation methods. A comparison with traditional classifiers shows the proposed method’s superior performance. This research offers significant advancements in personalized sports training and real-world action recognition.
Risk Evaluation of Dike Engineering Based on Game Theoretic Combinatorial Empowerment Two-Dimensional Cloud Modeling
Authors: Yao Zihan , Ren Jie , Zhang Lei 
Published: November 2024

Abstract

Dike project is an important part of the flood control engineering system, so the research of risk evaluation method of dike project is of great significance for the protection of people's property and life safety, urban economy and sustainable development of the environment. Therefore, this paper establishes a two-dimensional cloud model for risk assessment of dike projects based on game-theoretic combinatorial empowerment. First of all, according to the statistical results of the data proposed from the flood inundation and destruction damage, infiltration damage, deformation and destabilization damage of the three dike failure modes for risk evaluation index analysis, through the representative and scientific risk evaluation factors, to build a comprehensive risk evaluation index system; Secondly, for the impact of too much subjectivity of data and too much interrelationship between indicators, the idea of combinatorial assignment based on game theory is adopted, and the calculation of indicator weights is carried out through the G1-C-OWA subjective assignment method and the CRITIC objective assignment method, which weakened the impact on the accuracy of the evaluation results to a certain extent; Then, according to the fuzzy and uncertainty characteristics of the risk index data of dike project, a two-dimensional cloud model is introduced, and the corresponding cloud digital features are calculated from the two aspects of risk probability and risk consequences, so as to improve the accuracy of the risk evaluation results and compare them with the standard risk cloud, and to determine the risk level of the dike project in a clear and intuitive way. Finally, the method is applied to the actual project of remote dike of Han River in the middle and lower reaches of Yangtze River for risk evaluation, and the evaluation results obtained are basically in line with the actual risk situation faced by the project, which verifies the reasonableness of the method and the value of its practical application.
A Secure data-driven algorithm against malicious intrusion signals in mobile communication networks
Authors: Yu Yongfei , Baza Mohamed , Rasheed Amar 
Published: November 2024

Abstract

Intrusion signals in mobile communication networks are often disguised as normal communication signals to attack, which is highly covert. This makes it difficult to be accurately recognized and increases the danger of data leakage. For this reason, this paper proposes a full link security defense algorithm against malicious intrusion signals in mobile communication networks based on data-driven technique. This algorithm uses the support vector machine technology to construct an identification model against the malicious intrusion signal of the full link and introduces the firefly algorithm to optimize the support vector parameters of the model to ensure the accuracy of the model in identifying the malicious intrusion signal. In addition, this algorithm uses a network full link security defense model based on dynamic camouflage technology to dynamically simulate any element of the full link in the mobile communication network, and at the same time constructs heterogeneous executives to distribute the results of the malicious intrusion signal to each selected heterogeneous executor. Experimental results show that the proposed algorithm can accurately identify different types of malicious intrusion type signal samples, so that the interception rate of the intrusion defense system against malicious intrusion signals is greater than 99%, and the important data loss rate is less than 1%.
Diversified Subsistence Strategies in Early Sedentary Populations of Mainland Southeast Asia: Insights from the Faunal Remains at Lò Gạch, southern Vietnam
Authors: Trần Thị Kim Quý , Hertler Christine , Đặng Ngọc Kính , Piper Philip J. 
Published: November 2024

Abstract

In the past two decades, zooarchaeology combined with improved dating techniques has provided significant insights into the initial appearance of domestic animals in Southeast Asia. The suite of domestic animals commonly associated with Neolithic introduction—pigs (Sus scrofa), dogs (Canis lupus familiaris), chicken (Gallus gallus), and cattle (Bos sp.)—arrived early in some areas but not others. In Southern Vietnam, analysis of animal bone assemblages and radiocarbon dating of Neolithic sites (c. 4200–3500 cal. BP) indicate that early managed animal populations were linked to sedentary lifestyles. Research has shown that pigs and dogs are present in the Neolithic, but cattle and chicken are absent. But the timing of integration of these domesticates into economic strategies remains unclear due to the lack of zooarchaeological studies on early metallurgical sites. Lò Gạch, the focus of this project, an early copper-base metallurgy settlement on the Vàm Cỏ Tây River, shows that animal management was supplemented by hunting around 3000–2200 cal. BP, with limited evidence of cattle and no domestic chicken. This highlights the complexity and regional variability in the spread and integration of domestic animals in the region.
Beyond the Click: Exploring the Dynamics of E-Learning in Advanced English Language Learning – a case study
Authors: Mekheimer Mohamed 
Published: November 2024

Abstract

This qualitative case study, guided by Social Cognitive Theory, investigated the interplay of technological self-efficacy, intrinsic motivation, and e-learning strategies among three advanced university students enrolled in an online English language program in the Middle East. The study found that technological self-efficacy, particularly related to digital literacy and confidence in using online tools, significantly influenced students' e-learning strategy choices. Intrinsic motivation, driven by a desire for personal growth and future opportunities, was a key driver of proactive engagement and strategy implementation. The study also highlighted the importance of contextual factors, including curriculum design, assessment practices, virtual classroom instruction, and opportunities for peer interaction, in shaping successful e-learning experiences. Findings emphasized the need for educators in this region to prioritize the development of technological self-efficacy, foster intrinsic motivation, and design learning environments that encourage diverse e-learning strategies, promote learner agency, and create a supportive learning community. Future research should explore these factors within larger student populations to identify patterns and developmental trajectories in diverse e-learning contexts.
Developing a cultural sustainability assessment framework for environmental facilities in urban communities
Authors: Zhang Linghao , Zhao Qixun , Hou Jie 
Published: November 2024

Abstract

Cultural sustainability is essential for sustainable urban development, yet its integration into environmental facility design in urban community is often overlooked. This paper proposed a 4-level hierarchical framework with 30 indicators to assess the cultural sustainability of urban environmental facilities. The framework was organized into three dimensions: cultural core, cultural representation, and cultural impetus, focusing on preserving cultural heritage, fostering emotional and identity connections through design, and strengthening community resilience. Using qualitative and quantitative methods, including Delphi and Bayesian Best-Worst Methods (BWM), the indicators were refined and weighted. Case studies in Shanghai and Guangzhou demonstrated the framework’s practical application in assessing cultural sustainability and guiding urban design and policy decisions. This study provided urban planners and designers with an adaptable tool to incorporate cultural sustainability into rapidly changing urban environments, offering insights for promoting resilient and cohesive communities.
Correlation of multiple peripheral blood parameters with metastasis and invasion of papillary thyroid cancer: a retrospective cohort study
Authors: Chen Xiao , Wang Han-yu , Yu Lu , Liu Jia-qi , Sun Hui 
Published: November 2024

Abstract

Objective
The primary progression mechanisms of papillary thyroid cancer (PTC) involve the development of lymph node metastasis and thyroid capsular invasion. This study aimed to identify high-risk populations for these conditions in PTC based on various peripheral blood tests, and to investigate the factors significantly associated with such populations.
Methods
A total of 4,557 patients with papillary thyroid cancer were retrospectively analyzed in this study. Principal Component Analysis (PCA) and cluster analysis were conducted using the results from 45 different peripheral blood tests. High-risk and low-risk clusters were defined by comparing the prevalence of metastasis and invasion across different clusters. Key indicators that significantly differed between clusters were identified to examine the correlation between peripheral blood parameters and tumor progression.
Results
Preoperative examination measures categorized patients into two distinct clusters. Patients in Cluster 0 exhibited a significantly higher rate of tumor metastasis and invasion compared to those in Cluster 1, and were thus categorized as the high-risk group. Following PCA, four principal components showing the most significant differences between the clusters were identified. These components were further analyzed to determine the most crucial peripheral blood parameters. Subsequent multiple logistic regression analysis revealed that parameters such as transaminase levels, white blood cell and red blood cell counts, coagulation time, and thyroid hormones were significantly associated with membership in Cluster 0.
Conclusion
Several peripheral blood parameters, including transaminase levels, white and red blood cell counts, coagulation time, and thyroid hormones, are linked to the metastasis and invasion of papillary thyroid cancer. These findings suggest that peripheral blood parameters hold potential predictive value for disease progression in PTC, offering a basis for more targeted and effective clinical management.
WITHDRAWN: Resveratrol alleviates testicular toxicity induced by anti-PD-1 through regulating the NRF2-SLC7A11-GPX4 pathway
Authors: Tuerxun Halahati , Zhao Yixin , Li Yawen , Liu Xingyu , Wen Shuhui , Zhao Yuguang 
Published: November 2024

Abstract

Background: Fertility preservation is a critical concern for reproductive-age cancer survivors, as conventional cytotoxic therapies can cause irreversible damage to the reproductive system, potentially depriving them of the ability to have children in the future. Immune checkpoint inhibitors (ICIs), including anti-programmed cell death protein 1 (anti-PD-1), have become a standard therapeutic approach for various malignancies. However, the impact of ICIs on reproductive function and fertility is not well understood and remains a largely unexplored domain.
Methods: Male C57BL6/J mice with B16 melanoma were assigned into four groups: control , anti-PD-1 (ICI) , RSV, anti-PD-1 with RSV (ICI/RSV) group. RSV and ICI/RSV groups received RSV (40 mg/kg) orally every other day for one month, while controls received the vehicle. ICI and ICI/RSV groups were injected with anti-PD-1 antibody (10 mg/kg) weekly, and controls received IgG2b kappa antibody. Parameters like body and testicular weight, sperm concentration, and Western blotting for ferroptosis markers were measured. Furthermore, oxidative stress biomarkers, lipid oxidation factors, and gonadal hormone levels were quantified using commercial kits.
Results: Anti-PD-1 therapy caused male reproductive dysfunction, as evidenced by reduced sperm concentration, altered gonadal hormone levels, and disruption of blood-testis barrier (BTB) integrity. Furthermore, ferroptosis was a key mechanism in anti-PD-1-induced testicular dysfunction, characterized by disrupted iron homeostasis, elevated lipid peroxidation, and suppression of the system Xc−/glutathione peroxidase 4 (GPX4) axis. Additionally, anti-PD-1 therapy diminished antioxidant defenses by inhibiting the nuclear factor erythroid 2-related factor 2 (NRF2) pathway, thereby increasing the susceptibility to ferroptosis. Crucially, RSV treatment ameliorated anti-PD-1-induced reproductive dysfunction. This was achieved by reducing T cell infiltration, lowering interferon-gamma levels, activating the NRF2 pathway, and maintainingiron and lipid homeostasis.
Conclusions: Our study demonstrates that anti-PD-1triggers oxidative stress and ferroptosis in the testis, causing male reproductive dysfunction. Resveratrol may offer protection against testicular toxicity associated with anti-PD-1, particularly through its antioxidant and anti-ferroptosis properties.
Patients with overlapping dermatomyositis and psoriasis: An experience from a tertiary center and review of the literature
Authors: Pomianoski Beatriz Westphalen , Shinjo Samuel Katsuyuki 
Published: November 2024

Abstract

Background
The coexistence of dermatomyositis (DM)/clinically amyopathic DM (CADM) and psoriasis is rare, and has been described in a few case reports. Therefore, this study aimed to analyze this entity from our tertiary center and review the relevant literature.
Methods
This retrospective observational cohort study included patients with DM/CADM and psoriasis between 1998 and 2024. A systematic literature review was also conducted.
Results
Nine of 331 patients with DM (n = 265)/CADM (n = 66) had psoriasis; six were female, and all were of white ethnicity. The median age at DM diagnosis was 38 years (range: 18–78), and at psoriasis diagnosis was 43 years (range: 18–81), with a median interval of four years between diagnoses. The follow-up showed that six patients were discharged, two died, and one continued follow-up. The main comorbidities included systemic arterial hypertension (n = 3) and diabetes mellitus (n = 3). Four patients presented with varicella zoster (n = 1) or pulmonary tuberculosis (n = 3). Regarding literature review, there were 15 articles that reported a total of 17 cases of overlapping DM/CADM and psoriasis. However, variability was observed in the DM/CADM diagnostic criteria. The average age at DM diagnosis in the literature was 32.3 years (range: 2–59), whereas psoriasis was an average of 31 (7–63) years. Female patients were predominant.
Conclusion
This investigation identified the rare coexistence of DMPs, revealing older age at diagnosis ages and a higher prevalence of CADM among DM patients. With a median age of 38 years for DM and 43 years for psoriasis, our findings align with those in the existing literature. However, variability in the diagnostic criteria highlights the need for standardized approaches to improve patient management.
Model Climato-touristic Comfort in the Southern Mediterranean Coast: Case of Algiers, Algeria
Authors: HAMEIDIA Nesrine. , MEDJERABE Abderrahmane. 
Published: November 2024

Abstract

Tourism is a vital socio-economic contributor in Mediterranean regions. Recent studies have focused extensively on the climatic potential for outdoor tourism activities. However, the issues identified in these studies are not incorporated into the Tourism Climate Index (TCI), which has been repeatedly criticized for its weighting methodology. To address these shortcomings, a Model of Climato-Touristic Comfort (MCTC) has been developed using the Analytic Hierarchy Process (AHP). This model assesses the climatic suitability of outdoor tourism destinations, underscoring its importance in maintaining the competitiveness of both coastal and urban destinations. Calculations were performed at tri-hourly intervals for the reference period from 2000 to 2021. The findings reveal that the climate in Algiers is generally comfortable for an average of more than 180 days per year, approximately sixty days are classified as moderate, and the remaining days are categorized as uncomfortable.
Analysis of GLCM-feature-based dimensionality reduction and feature extraction methods for classifying fabric design patterns by using video data
Authors: Mamun Abdullah Al , Uddin Mohammad Abrar , Kim Taeil , Bappy Mahathir Mohammad 
Published: November 2024

Abstract

Manufacturing industries now leverage high-dimensional streaming video data from diverse sensors, represented as tensors (multidimensional arrays of channels × signals × time), for real-time monitoring, inspection, and quality control; however, this data often contains redundancy and captures only a subset of the complete dataset. Selecting effective dimensionality reduction and feature extraction methods for high-dimensional data structures remains challenging. To address these challenges, this paper presents a comparative framework for effective dimensionality reduction and feature extraction, utilizing supervised methods—Principal Component Analysis (PCA) and Independent Component Analysis (ICA)—alongside the unsupervised Multilinear-PCA (MPCA), which can more effectively handle multidimensional tensor structures compared to the 1-D or 2-D limitations of PCA and ICA. We evaluate this comparative framework for classifying fabric design patterns using high-dimensional video data captured from various fabric surface weave patterns. The videos are converted into sequential RGB frames and analyzed using the Gray-Level Co-occurrence Matrix (GLCM) for feature extraction, after which the dimensionality of the GLCM features is reduced with PCA, ICA, and MPCA, and the features are classified using supervised machine learning techniques for fabric design pattern recognition. MPCA achieves a 0.022% dimensionality reduction by extracting uniformly distributed features that effectively capture correlated fabric design patterns, unlike the less organized distributions from PCA and ICA. The fabric pattern classification accuracy achieved with MPCA, PCA, and ICA was 99.02%, 95.21%, and 92.68%, respectively. These results suggest that the proposed framework effectively facilitates dimensionality reduction and feature extraction in both supervised and unsupervised methods for high-dimensional video data.
Improving baseline information on over-looked generalists: occurrence and mitochondrial DNA diversity of Campbell’s (Cercopithecus campbelli) and green monkeys (Chlorocebus sabaeus) in Guinea-Bissau, West Africa
Authors: Colmonero-Costeira Ivo , Djaló Mamadú Lamine , Fernandes Nelson , Borges Filipa , Aleixo-Pais Isa , Gerini Federica , Costa Mafalda , Minhós Tania , Silva Maria Joana Ferreira da 
Published: November 2024

Abstract

Campbell’s (Cercopithecus campbelli) and green monkeys (Chlorocebus sabaeus) are sympatric medium-sized West African guenons (tribe Cercopithecini) that are generally understudied in most of their distribution. Both species are ecological generalists and are globally considered non-threatened, but populations are decreasing locally. National conservation management lacks baseline information on local populations of primate species. C. campbelli and Chl. sabaeus are considered the most abundant primates out of the ten extant species and are the most frequently hunted for meat consumption. Here, we aimed to update the occurrence and estimate the country-wide mitochondrial (mtDNA) genetic diversity for both species. From 2008 to 2022, we conducted surveys in four mainland protected areas and on the islands of the Bijagós archipelago where primates are known to occur. We identified C. campbelli populations outside their known distribution. We found relatively high mtDNA diversity for both species in the mainland and lower or no diversity in insular populations. Our results show significant signals of geographically induced mtDNA differentiation, particularly in C. campbelli, which pattern of population structure suggests female philopatry. In constrast, we found divergent Chl. sabaeus haplotypes at geographically close locations, suggesting female dispersal. We identified differentiated haplogroups with an estimated divergence time of 1.53 in C. campbelli and 1.16 Ma in Chl. sabaeus, possibly linked to Pleistocene climatic fluctuations. Our results add further evidence that Guinea-Bissau harbors high genetic diversity for primate species and the country should be prioritized for conservation in West Africa.
Semantic Representation of Preclinical Data in Radiation Oncology.
Authors: Giraldo Olga , Sabyrrakhim Abumansur , Roscher Mareike , Euler-Lange Rosemarie , Baumann Michael , Kurth Ina , Hadiwikarta Wahyu Wijaya 
Published: November 2024

Abstract

Background: In radiation oncology, the data generated from preclinical trials serve as initial validation for treatment effectiveness and optimizing clinical approaches by unraveling molecular mechanisms underlying different treatment responses. Therefore, it is important to standardize the practice in managing preclinical trial data to ensure consistency and reproducibility across studies, promoting collaboration, and facilitating regulatory review. The primary goal of this work is to standardize the representation of data collected from preclinical radiobiology and radiation oncology studies as a way to facilitate knowledge discovery. To achieve this goal, we combined ontology with semantic Web techniques to publish mapped data and easily query them using SPARQL Protocol and RDF Query Language (SPARQL).
Results: We expanded the Radiation Oncology Ontology (ROO) to include terminology related to the exposure of animal models to treatment, animal model’s demographic characteristics; as well as clinical information in live animals. The extended ROO contains 123 new entities (89 classes, 29 data properties and 5 object properties). We combined the extended ontology with Semantic Web technologies to demonstrate how to integrate and query data from different relational databases.
Discussion: The use of ontologies and semantic web tools are a way to comply to the FAIR principles. FAIR preclinical data improve collaboration, transparency, and reproducibility in radiotherapy research.
A dramaturgia coletiva da peça de teatro Urgente (2016)
Authors: Pedra da Silva Marco Antonio 
Published: November 2024

O objetivo deste artigo é analisar a dinâmica coletiva na criação da dramaturgia da peça Urgente (2016), escrita por dois grupos teatrais - Cia. Luna Lunera (MG) e Areas Coletivo de Arte (RJ). Este estudo apresenta informações sobre o processo de escrita do texto, a criação de sua encenação e a recepção do espetáculo frente à crítica e o público. Para tanto, analisei o programa da peça, fotos, gravação de vídeo, projeto de montagem e críticas publicadas em jornais de Belo Horizonte, Rio de Janeiro e Brasília. Além disso, busquei outras informações sobre o espetáculo ao entrevistar os atores Marcelo Souza e Silva, Cláudio Dias e Zé Walter Albinati, presentes no elenco.