bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tickell’s bat, Hesperoptenus tickelli (Blyth, 1851), in Sri Lanka with new records after 58 years and roosting ecology notes
Authors: Kusuminda Tharaka , Chandrathilake G.G. Thilakawansha , Abegunawardhana Pasindu D. , Abeyrathne Sameera , Senthila Vithanage T. , Amarasinghe Chamara , Mannakkara Amani , Yapa Wipula B. 
Published: January 2025

Abstract
Tickell’s bat (Hesperoptenus tickelli) is a medium-sized bat belonging to the family Vespertilionidae. This species was rarely recorded in recent surveys in its range. Similarly, this species has not been recorded in Sri Lanka since 1963. Further, it is assumed to roost in dense foliage of tall trees. We report three opportunistic records of this species from Sri Lanka after 58 years, along with notes on its roosting ecology. We highlight the importance of comprehensive studies on the life history of this species for better conservation and management.
Mosaic ceramic surface defect detection enhancement algorithm based on guided filter and multi-scale fusion
Authors: Dong Guanping , You Rui , Liu Sai , Wu Nanshou , Kong Xiangyu , Huang Pingnan , Fan Wenting , Wang Zixi 
Published: January 2025

Abstract
This study proposes an enhanced algorithm based on guided filter and multi-scale fusion that detects surface defects of mosaic ceramics, allowing to tackle the small and difficult-to-detect surface reflection problem. This method first combines the gathered multi-angle light source images to obtain the highlight removal image. The guided filter then separates the image into base and detail images. Afterwards, the contrast limited adaptive histogram equalization (CLAHE) algorithm is used to enhance the detailed image. Taplacian contrast weights, saliency weights, and saturation weights are then introduced for the multi-scale fusion of the base and detail images. Finally, defects are extracted by non-linear enhancement, threshold segmentation, morphological processing, and the Canny operator. The proposed algorithm can effectively remove the mosaic ceramic surface highlights, enhance the details of the defect edges, remove the noise interference, improve the overall image quality, and perform rapid detection of defects on the surface of mosaic ceramics. Experiments are then conducted to verify the efficiency of the proposed algorithm. The results show that it has high performance, and it reaches a mosaic ceramic defect detection accuracy of 97.9 % with low leakage and false detection rates of 2.1 % and 1 %.
Network mechanisms underlying the regional diversity of variance and time scales of the brain’s spontaneous activity fluctuations
Authors: Ponce-Alvarez Adrián 
Published: January 2025

The brain’s activity fluctuations have different temporal scales across the brain regions, with associative regions displaying slower timescales than sensory areas. This so-called hierarchy of timescales has been shown to correlate with both structural brain connectivity and intrinsic regional properties. Here, using publicly available human resting-state fMRI and dMRI data it was found that, while more structurally connected brain regions presented activity fluctuations with longer timescales, their activity fluctuations presented lower variance. The opposite relationships between the structural connectivity and the variance and temporal scales of resting-state fluctuations, respectively, were not trivially explained by simple network propagation principles. To understand these structure-function relationships, two commonly used whole-brain models were studied, namely the Hopf and Wilson-Cowan models. These models use the brain’s connectome to coupled local nodes (representing brain regions) displaying noise-driven oscillations. The models show that the variance and temporal scales of activity fluctuations can oppositely relate to connectivity within specific model’s parameter regions, even when all nodes have the same intrinsic dynamics —but also when intrinsic dynamics are constrained by the myelinization-related macroscopic gradient. These results show that, setting aside intrinsic regional differences, connectivity and network state are sufficient to explain the regional differences in fluctuations’ scales. State-dependence supports the vision that structure-function relationships can serve as biomarkers of altered brain states. Finally, the results indicate that the hierarchies of timescales and variances reflect a balance between stability and responsivity, with greater and faster responsiveness at the network periphery, while the network core ensures overall system robustness.Significance StatementBrain regions exhibit activity fluctuations at different temporal scales, with associative areas displaying slower timescales than sensory areas. This hierarchical organization is shaped by both large-scale connectivity and local properties. The present study demonstrates that the variance of fluctuations is also hierarchically organized but, in contrast to timescales, it decreases as a function of structural connectivity. Whole-brain models show that the hierarchies of timescales and variances jointly emerge within specific parameter regions, indicating a state-dependence that could serve as a biomarker for brain states and disorders. Furthermore, these hierarchies link to the responsivity of different network parts, with greater and faster responsiveness at the network periphery and more stable dynamics at the core, achieving a balance between stability and responsiveness.
Jaunų lietuvių kilmės argentiniečių motyvacija mokytis lietuvių kalbos
Authors: Kalnaitytė Lina , Vilkienė Loreta 
Published: January 2025

This paper describes a study that aims to answer the questions: what factors might encourage young Argentinians of Lithuanian origin to learn the Lithuanian language? What are the linguistic attitudes and opinions about Lithuania of young Argentinians of Lithuanian origin? What is their ethnic identity? The research analyzed the responses of 33 Argentinians of Lithuanian origin living in Lithuania and Argentina to a sociolinguistic form, a motivation questionnaire, and 5 semi-structured qualitative interviews with young Argentinians of Lithuanian origin living in Lithuania and Argentina. Descriptive statistics, qualitative analysis, and thematic analysis methods. The results of the data analysis show that the motivation of the research group to learn Lithuanian is quite strong. The research participants are most strongly motivated to learn Lithuanian by their positive attitudes towards the Lithuanian language, Lithuanians, and Lithuania and the weakest by the motivation of the ought-to L2 self. The regression analysis carried out in the study revealed that the motivation of the ought-to L2 self is stronger in the respondents living in Lithuania than in the participants of the research, who are living in Argentina. The older respondents and respondents who have lived in Lithuania for a longer time attitudes towards the Lithuanian language, Lithuanians, and Lithuania are less positive than among the younger respondents and respondents who have lived in Lithuania for a shorter time. Respondents who declared a stronger identity of Lithuanian have a stronger motivation to learn Lithuanian.
Núcleos Hospitalares de Epidemiologia no Brasil: uma revisão integrativa de literatura
Authors: Faria Dornelas Rodrigo , Lima Sousa Ana Luiza 
Published: January 2025

Justificativa e Objetivos: as atividades de vigilância epidemiológica dentro de ambientes hospitalares assumem estruturas e processos de trabalho diversificados segundo as diferentes regiões. Este estudo teve como objetivo mapear os estudos realizados sobre estrutura e/ou processos dos Núcleos Hospitalares de Epidemiologia no Brasil. Método: trata-se de revisão integrativa da literatura realizada nas bases de dados PubMed, Biblioteca Virtual em Saúde (BVS), Biblioteca Digital Brasileira de Teses e Dissertações (BDTD) e Periódicos CAPES, usando descritores pré-definidos. A busca compreendeu o período de 1971 a 2022. A construção deste estudo foi guiada pelos itens de checagem e elaboração do Preferred Reporting Items for Systematic Reviews and Meta-Analysis. O processo de seleção e organização da inclusão e exclusão das publicações foi realizado por meio do aplicativo Rayyan. Resultados: foram identificados 18 estudos, utilizando-se descritores controlados (Epidemiologic Surveillance Services; Hospitals; Health Evaluation) nas bases de dados selecionadas, distribuídos em dez Unidades Federativas. Em relação às buscas por publicações sobre os Núcleos Hospitalares de Epidemiologia, deparamo-nos com estudos sobre outros assuntos que não necessariamente informam sobre o funcionamento ou sistemática de organização. Estes apresentam como objeto, por exemplo, os agravos notificados pelo núcleo. Conclusão: foi identificado que os estudos abordam temas como notificação e investigação de doenças e agravo, e busca ativa. Alguns ainda verticalizam análises sobre integração entre setores dentro do ambiente hospitalar e na rede de assistência externa. No entanto, são escassos estudos que analisassem a atuação dos núcleos – análise de processos e resultados.
Effectiveness of self-management programmes for athletes with patellofemoral pain syndrome: A systematic review
Authors: Masoudi Ameen , Chemane Nomzamo , Magida Nontembiso , Useh Ushotanefe , Bello Bashir 
Published: January 2025

Background: Patellofemoral pain syndrome (PFPS) is a common condition that can severely hinder an athlete's ability to perform and compete at their full potential and overall well-being. The emergence of self-management programmes presents a potential treatment avenue for athletes with PFPS. Self-management programmes aim to empower patients through education, symptom monitoring, tailored exercises, and gradual activity progression while respecting pain thresholds. Despite their potential benefits, limited data evaluates the effectiveness of self-management programmes specifically tailored for athletes with PFPS.
Objectives: To assess the effectiveness of self-management programmes in improving pain and functional ability among athletes with PFPS.
Methods: A systematic search was conducted across PubMed/MEDLINE, Cochrane Library, CINAHL, and PsycINFO databases. Randomised and non-randomised controlled trials comparing self-management interventions to other treatments or control groups for improving pain and functional ability among athletes with patellofemoral pain syndrome were included. Studies including athletes with PFPS (defined as pain persisting for ≥12 weeks) were eligible. Four reviewers independently extracted data and assessed quality using the Physiotherapy Evidence Database (PEDro) scale.
Results: Three trials involving 139 participants met the eligibility criteria. Identified self-management programmes comprised exercises, mindfulness training, and educational programmes tailored to athletes. Two of the eligible studies identified found that exercise consisting of the combination of mindfulness and/or dry needling reported an enhanced recovery rate in the studied population with regards to PFPS. The other study reported no added benefit whether exercise or education was used as a modality for the self-management of PFPS.
Conclusion: While some studies showed promising results for self-management programmes involving exercises and mindfulness in managing patellofemoral pain syndrome among athletes, the overall evidence could be more extensive and consistent. High-quality controlled trials with consistent methodology and athletic populations are needed to identify the most effective self-management approaches for patellofemoral pain syndrome in athletes.
The Way of Humanity
Authors: Canda Edward R. 
Published: January 2025

The Way of Humanity, second edition, presents a Confucian vision for personal and social transformation intended to bring about a worldwide social order of harmony, dignity, and justice for all peoples, beyond divisive sectarianism and nationalism. It is based on ideals for human flourishing gleaned from Confucian and Neo-Confucian thought as distilled by a highly respected elder philosopher in South Korea, Yi Dong Jun, PhD (Haengchon, literary name). He is Professor Emeritus of the College of Confucian Studies and Eastern Philosophy at Sungkyunkwan University in Seoul.
This work is the first detailed presentation of a contemporary Korean philosopher’s perspective on Confucianism as grounded in daily life, its implications for personal spiritual development, and its potential to contribute to world development. The book holistically presents Master Haengchon’s insights through vivid stories, philosophical essays, numerous illustrations, audio recordings of Confucian chanting, recommendations for further reading, and, new to the second edition, poems inspired by Confucian classics about ideals for an opening of the world to wellbeing and justice for all peoples.
La figure de la sirène dans le conte « Ada Liz » de Mercè Rodoreda (1908-1983)
Authors: Frayssinhes Ribes Sandrine 
Published: January 2025

En aquest estudi m’interesso per un conte de Mercè Rodoreda al qual els diversos estudis que s’han fet de la narrativa breu de l’autora fan poquíssimes referències : es tracta del relat « Ada Liz », que encapçala el volum Semblava de seda i altres contes (1978). El meu propòsit consisteix a analitzar la relació d’aquest conte amb el motiu de la sirena i a la vegada analitzar el joc hipertextual que s’estableix amb el text de la traducció de Josep Carner La donzelleta de la mar, tenint en compte l’interès i l’admiració de l’escriptora per l’obra de Josep Carner (1884-1970). L’anàlisi dels dispositius utilitzats per l’autora a fi d’aconseguir una reformulació de la figura de la sirena permetrà mostrar que la retòrica de la ironia, que neix del joc hipertextual, és essencial per a la construcció del sentit del relat per a adults, vist que n’autoritza una lectura des de la perspectiva de gènere. A més, aquest text, en altres aspectes, està en adequació tant amb les problemàtiques sobre la condició de la dona que s’han expressat en la literatura contemporània escrita per dones, com amb l’elecció de la modalitat de la ironia literària que han fet moltes escriptores catalanes.
Vasculogenic mimicry and p53 expression in esophageal squamous cell carcinoma patients of Kazakh ethnicity, the association between vasculogenic mimicry and p53 expression and its influence on prognosis
Authors: Buhulula Luyeye Sostenes , Ainiwaer Julaiti , Liwei Zhang , Sheyhidin Ilyar , Shutao Zheng , Niyaz Madiniyet 
Published: January 2025

Background: Esophageal cancer (EC), particularly esophageal squamous cell carcinoma (ESCC), is prevalent in Xinjiang, with poor prognosis and notable ethnic differences. Kazakhs are the most affected group. The p53 gene mutation is linked to tumor malignancy and metastasis in EC, though its prognostic role is debated. Vasculogenic mimicry (VM), a non-classical angiogenesis model, contributes to tumor progression and correlates with poor outcomes. This study investigates the relationship between VM and p53 expression in Kazakh ESCC patients to understand their clinical and prognostic significance.
Methods: This retrospective cross-sectional study analyzed 76 Kazakh ESCC patients to assess VM and p53 expression using histological staining and immunohistochemistry between December 2010 and November 2015. Clinicopathological features, survival outcomes, and the correlation between VM and p53 were evaluated using Spearman correlation, Kaplan-Meier curves, and Cox regression analysis. Ethical approval and informed consent were obtained.
Results: VM was identified in 42.1% of Kazakh ESCC tissues, associated with advanced stages, lymph node metastasis, and poor differentiation (p<0.001). Kaplan-Meier analysis revealed that VM presence significantly reduced survival time (p<0.05). Mutant p53 expression correlated with tumor differentiation but not survival. Spearman analysis showed a significant association between VM and p53 positivity. VM and lymph node metastasis were independent prognostic factors, underscoring VM’s critical role in ESCC progression.
Conclusion: Vasculogenic mimicry (VM) is a marker of poor prognosis in Kazakh EC, correlating with advanced stages and higher metastasis rates. The association between VM and p53 mutations highlights their combined role in tumor progression and potential as therapeutic targets.
Machine learning framework for breast cancer detection with feature selection with L2 ridge regularization: insights from multiple datasets
Authors: Kandhasamy Premalatha , Devi Duraisamy Prabha , Kandhasamy Sivakumar 
Published: January 2025

Aim: This study aims to investigate and apply effective machine learning techniques for the early detection and precise diagnosis of breast cancer. The analysis is conducted using various breast cancer datasets, including Breast Cancer Wisconsin, Breast Cancer Diagnosis, NKI Breast Cancer, and SEER Breast Cancer datasets. The primary focus is on identifying key features and utilizing preprocessing methods to enhance classification accuracy.
Methods: The datasets undergo several preprocessing steps, such as label encoding for categorical variables, linear regression for handling missing values, and Robust scaler normalization for data standardization. To address class imbalance, Tomek Link SMOTE is employed to improve dataset representation. Significant features are selected through L2 Ridge regularization, helping to pinpoint the most important predictors of breast cancer. A range of machine learning models, including decision tree, random forest, support vector machine (SVM), neural network, K-nearest neighbor, naïve bayes, extreme gradient boost (XGBoost), and AdaBoost, are applied for classification tasks. The performance of these models is assessed using metrics such as accuracy, precision, recall, F1-score, and the Kappa statistic. Additionally, the models' effectiveness is further evaluated using the receiver operating characteristic curve and precision-recall curve.
Results: The XGBoost model achieved the best performance on both the breast cancer Wisconsin and diagnosis datasets. The SVM model reached 100% accuracy on the NKI breast cancer dataset, while the random forest model performed optimally on the SEER breast cancer dataset. The feature selection process through L2 Ridge regularization was crucial in enhancing the performance of these models.
Conclusions: This work emphasizes the critical role of machine learning in improving breast cancer detection. By applying a combination of preprocessing techniques and classification models, the study successfully identifies significant features and boosts model performance. These findings contribute to the development of more accurate diagnostic tools, ultimately enhancing patient outcomes.
Pimitespib in patients with advanced gastrointestinal stromal tumors in Japan: an expanded access program
Authors: Naito Yoichi , Iwagami Shiro , Doi Toshihiko , Takahashi Tsuyoshi , Kurokawa Yukinori 
Published: January 2025

Abstract

Background Pimitespib, an oral heat shock protein 90 inhibitor, significantly prolonged progression-free survival in patients with advanced gastrointestinal stromal tumors (GIST) in CHAPTER-GIST-301 study. This expanded access program was conducted to evaluate the safety and efficacy of pimitespib in Japanese patients with advanced GIST.Methods This multicenter, open-label, single-arm study was conducted in patients (≥ 20 years) with histologically confirmed GIST who had been previously treated with imatinib, sunitinib and regorafenib and had an Eastern Cooperative Oncology Group performance status of 0–1. Patients received pimitespib 160 mg/day for five days, followed by a 2-day rest, in 21-day cycles.Results Between February and August 2022, 23 patients were enrolled (median age 59.0 years). Over a median pimitespib treatment duration of 81.0 days, adverse events occurred in 22 patients (95.7%). The most common adverse events were diarrhea (73.9%), nausea (39.1%) and increased blood creatinine (30.4%). Serious adverse events occurred in two patients (tumor hemorrhage and tumor pain); neither was related to pimitespib. One patient had grade 3 diarrhea that was considered treatment-related. Four patients (17.4%) had eye disorders, all of which were grade 1 and treatment-related. The median progression-free survival was 4.2 months (95% confidence interval [CI] 1.9–6.2), the overall response rate was 0% (95% CI 0–16.1) and the disease control rate was 66.7% (95% CI 43.0–85.4).Conclusions Pimitespib was well tolerated and effective in patients with advanced GIST in real-world practice in Japan. No new safety signals were identified.Trial registration jRCT2031210526 registered 1 February 2022.
Erythropoietin delivery through kidney organoids engineered with an episomal DNA vector
Authors: Du Z. , Menéndez A. Bas-Cristóbal , Urban M. , Hartley A. , Ratsma D. , Koedam M. , Bosch T.P.P. van den , Groningen M. Clahsen-van , Gribnau J. , Mulder J. , Reinders M.E.J. , Baan C.C. , Eerden B. van der , Harbottle R.P. , Hoogduijn Martin 
Published: January 2025

Abstract

Background
The kidney's endocrine function is essential for maintaining body homeostasis. Erythropoietin (EPO) is one of the key endocrine factors produced by the kidney, and kidney disease patients frequently experience anemia due to impaired EPO production. In the present study we explored the potential of human induced pluripotent stem cell (iPSC)-derived kidney organoids to restore EPO production.
Methods
EPO secretion by kidney organoids was examined under 1% and 20% oxygen levels. To increase the EPO secreting capacity of kidney organoids, iPSC were genetically engineered with a non-integrating scaffold/matrix attachment region (S/MAR) DNA vector containing the EPO gene and generated EPO-overexpressing (EPO+) kidney organoids. To assess the physiological effects of EPO + organoids, 2–8 organoids were implanted subcutaneously in immunodeficient mice.
Results
Kidney organoids produced low amounts of EPO under 1% oxygen. EPO S/MAR DNA vectors persisted and continued to robustly express EPO during iPSC expansion and kidney organoid differentiation without interfering with cellular proliferation. EPO + iPSC demonstrated efficient differentiation into kidney organoids. One-month post-implantation, EPO + organoids displayed continuously elevated EPO mRNA levels and significantly increased endothelial cell numbers compared to control organoids. Hematocrit levels were notably elevated in mice implanted with EPO + organoids in an organoid number-dependent manner. EPO + organoids furthermore influenced bone homeostasis in their hosts, evidenced by a change in trabecular bone composition.
Conclusion
Kidney organoids modified by EPO S/MAR DNA vector allow stable long-term delivery of EPO. The observed physiological effects following the implantation of EPO + organoids underscore the potential of gene-edited kidney organoids for endocrine restoration therapy.