Search Results (1,091)

Systems supporting systematic literature reviews often use machine learning algorithms to create classification models to assess the relevance of articles to study topics. The proper choice of text representation for such algorithms may have a significant impact on their predictive performance. This article presents an in-depth investigation of the utility of the bag of concepts representation for this purpose, which can be considered an enhanced form of the ubiquitous bag of words representation, with features corresponding to ontology concepts rather than words. Its utility is evaluated in the active learning setting, in which a sequence of classification models is created, with training data iteratively expanded by adding articles selected for human screening. Different versions of the bag of concepts are compared with bag of words, as well as with combined representations, including both word-based and concept-based features. The evaluation uses the support vector machine, naive Bayes, and random forest algorithms and is performed on datasets from 15 systematic medical literature review studies. The results show that concept-based features may have additional predictive value in comparison to standard word-based features and that the combined bag of concepts and bag of words representation is the most useful overall. Full article

Background/Objectives: Bisphenol A (BPA) is found throughout the environment and exposure to it has been shown to cause several health problems, including cancer. The problem with BPA is that it is a xenoestrogen that is chemically very similar to 17β-estradiol. Chronic exposure to BPA overstimulates the estrogen receptors and leads to inflammation that triggers several pathways leading to cancer progression. This is especially true in the case of hormone-sensitive breast cancers. This article reviewed the main pathways thought to be involved in the formation and/or progression of the most common forms of hormone-sensitive breast cancers due to BPA exposure. The main results were compiled and presented in tables along with a more detailed discussion of each pathway within the text. In most cases, chronic BPA exposure led to inflammation, which then triggered pathways leading to cancer stem cell formation and maintenance. In other cases, BPA exposure led to the formation of reactive oxygen species that damaged DNA and caused the formation of mutated p53 and tumorigenesis. Conclusions: The article summarizes the key pathways that are currently known, pertaining to how BPA leads to the progression and maintenance of breast cancer. The article then concludes by discussing how prenatal and perinatal BPA exposure may also predispose women to hormone-sensitive breast cancers later in life. Full article

This review synthesizes the corpus of archaeometric and analytical investigations focused on mortar-based materials, including wall paintings, plasters, and concrete, in the Roman Regio X and neighboring territories of northeastern Italy from the mid-1970s to the present. Organized into three principal categories—wall paintings and pigments, structural and foundational mortars, and flooring preparations—the analysis highlights the main methodological advances and progress in petrographic microscopy, mineralogical analysis, and mechanical testing of ancient mortars. Despite extensive case studies, the review identifies a critical need for systematic, statistically robust, and chronologically anchored datasets to fully reconstruct socio-economic and technological landscapes of this provincial region. This work offers a programmatic research agenda aimed at bridging current gaps and fostering integrated understandings of ancient construction technologies in northern Italy. The full forms of the abbreviations used throughout the text to describe the analytical equipment are provided at the end of the document in the “Abbreviations” section. Full article

This study investigates eye movement patterns as indicators of text complexity in Arabic, focusing on the comparative analysis of Classical Arabic (CA) and Modern Standard Arabic (MSA) text. Using the AraEyebility corpus, which contains eye-tracking data from readers of both CA and MSA text, we examined differences in fixation patterns, regression rates, and overall reading behavior between these two forms of Arabic. Our analyses revealed significant differences in eye movement metrics between CA and MSA text, with CA text consistently eliciting more fixations, longer fixation durations, and more frequent revisits. Multivariate analysis confirmed that language type has a significant combined effect on eye movement patterns. Additionally, we identified different relationships between text features and eye movements for CA versus MSA text, with sentence-level features emerging as significant predictors across both language types. Notably, we observed an interaction between language type and readability level, with readers showing less sensitivity to readability variations in CA text compared to MSA text. These findings contribute to our understanding of how historical language evolution affects reading behavior and have practical implications for Arabic language education, publishing, and assessment. The study demonstrates the value of eye movement analysis for understanding text complexity in Arabic and highlights the importance of considering language-specific features when studying reading processes. Full article

Neonatal calves possess an immature and naïve immune system and are reliant on the intake of maternal colostrum for the passive transfer of immunoglobulins. Maternal antibodies delivered to the calf via colostrum, are crucial to prevent calfhood diseases and death. Failure of transfer of passive immunity (FTPI) is a condition in which calves do not acquire enough maternal antibodies, mostly in the form of IgG, due to inadequate colostrum quality or delayed colostrum feeding. The diagnosis and risk factors for FTPI have been widely studied in dairy cattle; however, in beef calves, the research interest in the topic is relatively recent, and the most adequate diagnostic and preventative methods are still in development, making it difficult to define recommendations for the assessment and prevention of FTPI in cow–calf operations. The objective of this scoping review is to identify the published literature on best practices for colostrum management and transfer of passive immunity (TPI) in neonatal beef calves. The literature was searched using three electronic databases (CAB Direct, Scopus, and PubMed) for publications from 2003 to 2025. The search process was performed during the period from May to July 2023, and was repeated in January 2025. All screening processes were performed using Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia). A total of 800 studies were initially identified through database searches. After removing duplicates, 346 studies were screened based on their titles and abstracts, leading to the exclusion of 260 studies. The remaining 86 studies underwent full-text screening, and 58 studies were considered eligible for data extraction. Hand-searching the references from published review papers on the subject yielded an additional five studies, bringing the total to 63 included articles. The prevalence of FTPI has been estimated to be between 5.8% and 34.5% in beef calves. Factors studied related to colostrum management include quality and quantity of colostrum intake, the timing and method of colostrum feeding, and the microbial content of the colostrum. Studies on risk factors related to the calf include the topics calf sex, twin status, calf vigor, weight, month of birth, cortisol and epinephrine concentrations, and the administration of nonsteroidal anti-inflammatory drugs to calves after difficult calving. The dam-related risk factors studied include dam body condition score and udder conformation, breed, parity, genetics, prepartum vaccinations and nutrition, calving area and difficulty, and the administration of nonsteroidal anti-inflammatory drugs at C-section. Most importantly for beef systems, calves with low vigor and a weak suckling reflex are at high risk for FTPI; therefore, these calves should be given extra attention to ensure an adequate consumption of colostrum. While serum IgG levels of < 8 g/L or < 10 g/L have been suggested as cutoffs for the diagnosis of FTPI, 16 g/L and 24 g/L have emerged as cutoffs for adequate and optimal serum IgG levels in beef calves. Several field-ready diagnostics have been compared in various studies to the reference standards for measuring indicators of TPI in beef calves, where results often differ between models or manufacturers. Therefore, care must be taken when interpreting these results. Full article

(1) Background: Quality of life (QoL) assessment is a crucial aspect for patients diagnosed with cancer. Over the years, different tools have been developed to measure QoL, both generic and pathology specific, but the inclusion of quality of life among other indicators of efficacy in randomized controlled trials (RCTs) remains a controversial issue. In this review, we aim to review the frequency and modality of QoL assessment in RCTs, enrolling patients diagnosed with mesenchymal tumors. (2) Methods: An electronic literature search of bone and soft tissue sarcoma and GIST-related RCTs published between January 2000 and December 2023 was performed by two independent reviewers using PubMed. English-language phase II and III clinical trials enrolling at least more than 15 patients were included, regardless of the disease stage. Studies involving patients under the age of 18 years or for which the full text was not available were excluded. For each study, data regarding the journal and year of publication, the study design, the primary objective, and the evaluation of quality of life as an endpoint with any type of patient-reported outcomes used were extracted. (3) Results: Among the 742 publications screened, 171 resulted eligible. QoL assessment was listed among the endpoints in 35 trials and QoL results were reported in 29 primary publications. In these trials, 16 included patients with soft tissue sarcomas, 8 Kaposi sarcomas, 6 GIST, and 3 desmoid tumors. Among all the trials included, 10.4% on an adjuvant/neoadjuvant setting and 24.4% on a metastatic setting included QoL as an endpoint. The proportion of trials, including QoL, was variable over time, as follows: 16.9% of trials in 2000–2014 vs. 23.4% in 2015–2023. In 35 trials, including QoL endpoints, 27 had a superiority design and 25 reported a positive result. In the majority of trials (80%), the tools for QoL assessment were generic and those mostly used were the EORTC QLQ-C30, the EQ-5D questionnaire, and the modified Brief Pain Inventory–Short Form. (4) Conclusions: Quality of life has not been assessed or published in many phase II and III trials, despite an improvement over time. QoL evaluation in RCTs should be considered even more carefully in patients with rare tumors, where the low number of patients who can be enrolled makes it difficult to draw statistically significant conclusions on the effectiveness of treatments. Full article

As major countries around the world have successively proposed the construction goal of “Beautiful National Land Space”, how to effectively integrate urban design with spatial control in specific geographical environments and use urban design to achieve efficient spatial control has become a new research trend. The process of planning the national territory is constrained by the legal framework, involving multiple planning stages and multiple stakeholders. In an ideal state, these planning stages and stakeholders should coordinate with each other, but during the actual implementation of the plan, these factors are often not coordinated enough, making it difficult for the plan to play a role. In this study, Mile City in Yunnan Province, a representative city in the unique intermontane basin area of Southwestern China, was used as a case to explore how to use urban design methods in territorial spatial planning to achieve more efficient spatial control. This study provides scientific support for establishing an indicator control system for urban design methods by combining multiple data collection methods such as text analysis, image analysis, and interview methods. The distinctive features of Mile City have been further enhanced by optimizing its spatial layout through urban design, and it has been scientifically integrated into the territorial spatial planning system. The results indicate that the successful implementation of urban design highly relies on the reform willingness of local governments, clear control frameworks, and the coordinated integration of regional ecological resources and landscape features. This study proposed a set of urban design control methods suitable for intermontane basin-type cities and formed a comprehensive control framework including city, town, and landscape. In addition, it will provide methodological support and references for improving the scientific management of “Beautiful Land” in the special geographical environment of Southwest China. Full article

Background: The aim of this review was to analyze training interventions used and their effectiveness in improving pelvic floor muscle function related to urinary continence in postmenopausal women. We then characterized the recommended pelvic floor muscle training programs used in experimental studies based on four training components: frequency, intensity, duration, and type of pelvic floor muscle exercise. Methods: For this purpose, we conducted a literature review of works published up until the end of 2024, available in the Web of Science, PubMed, MEDLINE, and SPORTDiscus with Full Text databases. We used the keywords “pelvic floor muscle”, “training”, and “postmenopausal women”. Initially, we identified 205 articles published between 1997 and 2024. Then, based on specific criteria, we qualified 15 for analysis. Results: Thirteen studies included only PFMT, while three of them combined PFMT with other physical activity. In two studies, training was conducted in the form of a virtual video game using a pressure platform. We have noted that researchers most often use a 1 h pad test, digital palpation, and surface electromyography to assess the function of pelvic floor muscles. In improving pelvic floor muscle function related to urinary incontinence, 14 out of the 15 analyzed studies showed improvement. In only eight of the fifteen articles, researchers characterized all components of the implemented PFMT that enable full replication of the training intervention. In four of the studies, only one of the required components, namely intensity, was missing. The recommended number of training sessions was 2 to 7 per week, on average 3 ± 2 (M ± SD). Training interventions lasted from 2 to 24 weeks, on average 10 ± 6 weeks. Conclusions: Regardless of the chosen form of training intervention, PFMT is an effective method in improving the function of pelvic floor muscles in postmenopausal women. Full article

Financial forecasting is a research and practical challenge, providing meaningful economic and strategic insights. While Machine Learning (ML) models are employed in various studies to examine the impact of technical and sentiment factors on financial markets forecasting, in this work, macroeconomic indicators are also combined to forecast the Standard & Poor’s (S&P) 500 index. Initially, contextual data are scored using TextBlob and pre-trained DistilBERT-base-uncased models, and then a combined dataset is formed. Followed by preprocessing, feature engineering and selection techniques, three corresponding datasets are generated and their impact on future prices is examined, by employing ML models, such as Linear Regression (LR), Random Forest (RF), Gradient Boosting (GB), XGBoost, and Multi-Layer Perceptron (MLP). LR and MLP show robust results with high R² scores, close to 0.998, and low error MSE and MAE rates, averaging at 350 and 13 points, respectively, across both training and test datasets, with technical indicators contributing the most to the prediction. While other models also perform very well under different dataset combinations, overfitting challenges are evident in the results, even after additional hyperparameter tuning. Potential limitations are highlighted, motivating further exploration and adaptation techniques in financial modeling that enhance predictive capabilities. Full article

The text analyzes interreligious organizations and movements in Brazil based on the concept of the pluralist principle. It aims to systematize, based on observations of practices and studies of documents from prominent inter-religious experiences in Brazil, the degree of incidence of efforts to deepen democracy; defend human rights and the rights of nature; provide citizenship; appreciate ethnic, sexual, and gender diversity; and other effective decolonial forms of counter-hegemonic social articulation in these groups. Among the results, we present theoretical bases that show that it is necessary, for social analyses, to pay special attention to the articulation of the intersection between religious groups’ capacity for dialogue and the challenges surrounding social agendas that reinforce decolonial socio-religious perspectives. The profile of some inter-religious experiences within the scope of the research is also indicated. Full article

This qualitative study examines how children living in a public housing neighborhood engage in multimodal, embodied meaning-making to restory their community. Focusing on two participants and in partnership with The Kids Club, this paper explores children’s spatial reclamation through embodied and spatialized literacies, complicating stories where children assert whose stories matter and why. Drawing on nexus analysis and narrative inquiry, this study conceptualizes the body as central to cognition and comprehension through texts in action. The sisters spatially reclaim neighborhood narratives via walking tours, heart maps, and photographs that function as multimodal action texts. These practices invite a rethinking of comprehension beyond traditional textual modes, illuminating how children navigate and transform literacy landscapes. This work contributes to conversations about equity in literacy environments and calls on educators and researchers to honor children’s multimodal literacy practices as vital forms of critical comprehension, storytelling, and belonging. Full article

E-commerce live streaming in China has become a major retail channel, yet hosts often employ subtle phonetic or semantic “morphs” to evade moderation and make unsubstantiated claims, posing risks to consumers. To address this, we study the Live Auditory Morph Resolution (LiveAMR) task, which restores morphed speech transcriptions to their true forms. Building on prior text-based morph resolution, we propose an LLM-enhanced training framework that mines three types of explanation knowledge—predefined morph-type labels, LLM-generated reference corrections, and natural-language rationales constrained for clarity and comprehensiveness—from a frozen large language model. These annotations are concatenated with the original morphed sentence and used to fine-tune a lightweight T5 model under a standard cross-entropy objective. In experiments on two test sets (in-domain and out-of-domain), our method achieves substantial gains over baselines, improving $F_{0.5}$ by up to 7 pp in-domain (to 0.943) and 5 pp out-of-domain (to 0.799) compared to a strong T5 baseline. These results demonstrate that structured LLM-derived signals can be mined without fine-tuning the LLM itself and injected into small models to yield efficient, accurate morph resolution. Full article

Readability formulas are mathematical functions that assess the ‘difficulty’ level of a given text. They play a crucial role in aligning educational texts with student reading abilities; however, existing models are often not tailored to specific linguistic or regional contexts. This study aims to develop and evaluate two novel readability formulas specifically designed for the Mexican Spanish language, targeting elementary education levels. The formulas were trained on a corpus of 540 texts drawn from official elementary-level textbooks issued by the Mexican public education system. The first formula was constructed using multiple linear regression, emulating the structure of traditional readability models. The second was derived through genetic programming (GP), a machine learning technique that evolves symbolic expressions based on training data. Both approaches prioritize interpretability and use standard textual features, such as sentence length, word length, and lexical and syntactic complexity. Experimental results show that the proposed formulas outperform several well-established Spanish and non-Spanish readability formulas in distinguishing between grade levels, particularly for early and intermediate stages of elementary education. The GP-based formula achieved the highest alignment with target grade levels while maintaining a clear analytical form. These findings underscore the potential of combining machine learning with interpretable modeling techniques and highlight the importance of linguistic and curricular adaptation in readability assessment tools. Full article

Multimodal knowledge graph entity alignment is a key basic task of knowledge fusion and integration, which is used to identify entities with semantic equivalent but different representation forms in different knowledge graphs. Previous entity alignment research has mostly focused on encoding and utilizing basic features such as entity names and attributes; however, it is difficult to comprehensively capture the rich semantic information of entities by solely relying on these basic features. To effectively overcome this limitation, this paper proposes a fusion-optimized multimodal entity alignment method, FMEA-TD. Compared with previous work, this method makes full use of the textual description information in the knowledge graph to provide rich supplements for entity features, thereby better capturing the entity semantics and solving the problems faced by relying solely on the entity’s own features. FMEA-TD is able to effectively fuse the entity’s own information and text description information through multimodal cooperation confidence, establish the interaction mechanism between them, and thus promote mutual collaboration between different modalities, which enhances the model’s ability to understand the semantic text. Experimentally validated, FMEA-TD outperforms current state-of-the-art baseline methods on public knowledge graph datasets. Full article

This study examined the effects of the reading circle method on the curiosity and discovery perceptions, creative reading skills and visual literacy competencies of Turkish teacher candidates. The study group of the study conducted for this purpose consists of 48 teacher candidates studying in the Turkish language teaching department of a university in the north of Türkiye. A sequential mixed design was used in this study, which was conducted with mixed methods. In the quantitative dimension of this study, a pre-test and post-test, control-group-free experimental design was used, while in the qualitative dimension, a case study design was used. The Life Skills Scale, Individual Innovation Scale and semi-structured interview form were used to collect the data in this study. To examine the effect of the experimental process in this study, the data obtained were analyzed with a t-test for dependent groups; the data obtained from the interviews were analyzed with content analysis. According to the results obtained from this study, the reading circle method significantly affected the curiosity and discovery perceptions of teacher candidates. It was determined that creative reading skills have a significant effect on the sum of the scales and all other subdimensions except for the dimension of interpreting the text and the dimension of giving importance to visuality and interpreting visuals using Office software in visual literacy competencies. Full article