bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Correlation between Self-Efficacy Levels and Pedagogical Content Knowledge among Madrasah Ibtidaiyah Teachers
Authors: Novikasari Ifada , Azis Donny Khoirul , Elebiary Noor 
Published: December 2024

This study examines the relationship between self-efficacy in geometry and Pedagogical Content Knowledge (PCK) among Madrasah Ibtidaiyah teachers in Banyumas Regency. Self-efficacy was assessed in 79 sampled teachers using a multidimensional teaching self-efficacy scale focused on effectiveness and classroom management, while PCK was evaluated through tasks involving the perimeter and area of two-dimensional shapes. The findings reveal a weak correlation between self-efficacy and PCK, indicating limited interdependence. This highlights the need to address gaps in both areas. Within an Islamic context, the study emphasizes the relevance of tazkiyah (self-purification) and ilm (knowledge acquisition) as principles of teacher development. It recommends targeted training aligned with Islamic values to simultaneously enhance self-efficacy and PCK. Such an integrated approach aims to improve teaching skills, foster holistic growth, and create a nurturing learning environment that benefits both teachers and students.
The Longest Spring in History: On Interpreting the Transformations on the Polish-German Border on the Eve of Its Closure
Authors: Frąckowiak Maciej 
Published: December 2024

The article deals with the processes of debordering and rebordering on the Polish-German border, focusing on how the so-called everyday experts from the region interpreted these changes in 2018. The research was conducted in the cities of Słubice and Gubin and the adjacent rural areas, using individual structured in-depth interviews. The data analysis was inspired by grounded theory. According to the interviewees, cultural, legal, and economic differences significantly influenced the experiences and interactions at the border despite the blurring of physical borders. The analysis of the way of interpreting the debordering and rebordering also allows us to understand the characteristics of the narratives shaping the thinking about the transformations of the region at that time and their significance for integration processes and the creation of interstices. In the discussion, I argue for reorienting contemporary studies on the Polish-German border toward rebordering as well as for a more careful analysis of the accompanying narratives, emphasizing how these interpretations can condition the course of future events, such as what happened with the closing of borders in response to the COVID-19 pandemic.
Counterinterpretation in film criticism: The case of “Ida” by Paweł Pawlikowski
Authors: Osadnik Wacław 
Published: December 2024

The objective of this text is to discuss a lack of interest in the religious context of the award-winning film Ida by Pawel Pawlikowski. Moral choices within the film prove to be of greater concern to the director than political questions. Nonetheless, the film continues to generate reactions in right wing nationalist circles – and not only in Poland. From the point of view of thematic story and plot, the film is a historical drama with the possibility of a wide spectrum of interpretation. From the point of view of a conflict between Anna’s Christian believes (as a novice in a convent who is in the process of preparing to take her final religious vows) and her Jewish heritage she has to choose between The Old and The New Testament. Her family was killed by Poles and Ida/Anna has a dilemma: to follow the Old Testament law: “eye for an eye and a tooth for a tooth”, or to obey The New Testament principle: “That ye resist not evil. But whosoever shall smite thee on thy right cheek, turn to him the other also”. Ida chooses to follow principles of the New Testament and returns to the convent?
Pseudarthrosis following adult spinal deformity surgery may be predicted with preoperative MRI adipose tissue features: an artificial intelligence study on raw 3D imaging
Authors: Johnson Graham W. , Chanbour Hani , Doss Derek J. , Makhoul Ghassan S. , Abtahi Amir M. , Stephens Byron F. , Zuckerman Scott L. 
Published: December 2024

Aim: The purpose of this study is to investigate the utility of incorporating magnetic resonance imaging (MRI) into an artificial intelligence (AI) model to preoperatively predict pseudarthrosis for patients undergoing adult spinal deformity (ASD) surgery.
Methods: A retrospective cohort study was conducted on patients undergoing ASD surgery at Vanderbilt University Medical Center with at least 2 years of follow-up. We first collected demographic variables and measured traditional radiographic variables with Surgimap software. The primary outcome of interest was pseudarthrosis, defined as mechanical pain without evidence of bony union with or without a rod fracture. Next, cohort differences between patients diagnosed with and without pseudarthrosis were evaluated with t -tests for continuous variables and chi-squared tests for categorical variables using Bonferroni-Holm multiple comparison correction. Using a subpopulation of patients with preoperative thoracic MRI available, a three-dimensional convolutional neural network (3D-CNN) with five-fold nested cross-validation was developed to predict pseudarthrosis - accuracy was evaluated with the Youden index. Finally, class activation mapping (CAM) was conducted to visualize the MRI features utilized by the model for accurate classifications.
Results: Of 191 patients undergoing ASD surgery, the demographic and traditional radiographic variables were collected, and only age was observed to be significantly different between the patients diagnosed with pseudarthrosis (69.9 ± 10.1 years old) and those without (60.9 ± 19.9), with a t -test P -value of 0.003. The 3D-CNN demonstrated an average Youden index of 0.49 ± 0.25 on the withheld data, with a P -value of 5.50e-3 compared to an equivocal null model. Finally, CAM consistently revealed posterior adipose tissue to be most important in preoperatively predicting pseudarthrosis.
Conclusion: Adipose tissue features in MRI, independent of body mass index (BMI), may be useful for preoperatively predicting pseudarthrosis. Overall, this work demonstrates the capabilities of raw imaging AI in spine surgery and can serve as the basis for a deeper biological inquiry into the pathogenesis of pseudarthrosis.
The Role of Self-Regulation on the Tendency of Nomophobia in College Students
Authors: Andrianie Prilya Shanty , Patimah Dwi Siti , Mukti Patria 
Published: December 2024

The advancing development of information and communication technology has resulted in the widespread integration of gadgets into nearly all aspects of daily life and the learning process. The use of gadgets not only facilitates daily activities but, when used excessively, can give rise to adverse consequences, one of which is Nomophobia. Individuals experiencing nomophobia develop a dependency on their smartphones, leading to excessive worry when they are separated from their smartphone or when its battery is depleted. There are several efforts aimed at preventing the emergence of Nomophobia, one of which involves self-regulation. The objective of this research is to examine the role of self-regulation in the predisposition towards Nomophobia among university students. The research design employed is quantitative correlational with a non-probability sampling technique, specifically purposive sampling. The research population comprises 1,411 university students at University X, with a sample size of 93 students determined using the Slovin formula. Data was collected using the Nomophobia questionnaire developed by Yildirim and the Self-Regulation scale by Bandura. Based on the results of hypothesis testing, an R value of 0.288 was obtained (F = 8.230; p 0.05). Based on the results of data analysis and discussion that has been presented, the results show that self-regulation has a positive effect on nomophobia. The effective contribution of self-regulation to the propensity for nomophobia is 18.3%, while the remaining 81.7% is attributed to other variables or factors. The research findings indicate that 71% of the subjects exhibit high self-regulation, 18.3% possess very high self-regulation, and 10.2% demonstrate moderate self-regulation. As for the tendency towards Nomophobia among the research subjects, 34.4% display a low tendency, 25.8% fall into the moderate category, 20% exhibit a high tendency towards Nomophobia, and 19.8% are classified as having a very high tendency.
Identification the m6A regulator mediated RNA methylation modification patterns and immune- related key genes involved in ischaemic stroke
Authors: Zheng Peng-Fei , Huang Cheng-Cheng , Zhou Ting , Pan Hong-Wei , Huang Li-Zhong , Wang Chang-Lu , Rong Jing-Jing 
Published: December 2024

Abstract

Background
The precise impact of RNA N6-methyladenosine (m6A) modification on the immune microenvironment in ischemic stroke (IS) remains unclear. This study aimed to investigate the influence of m6A modification on the immune microenvironment in IS and identify crucial immune-related genes associated with IS.
Methods
The RNA modification patterns among 108 IS samples were determined by examining the differential m6A regulators between samples from individuals with IS and normal samples. Single-sample gene-set enrichment analysis (ssGSEA) and gene set variation analysis (GSVA) were employed to estimate the abundance of specific infiltrating immune cells and assess 50 HALLMARK pathways between healthy subjects and IS patients, as well as among the distinct m6A modification patterns. The weighted gene co-expression network analysis (WGCNA) was utilized to identify meaningful modules associated with immune cells. Two machine learning methods were applied to identify the key immune-related genes associated with IS. Finally, meta-analysis based on six different datasets was employed to validate the expression levels of the identified key genes.
Results
A total of eight key differential m6A regulators were identified between healthy individuals and patients with IS using a random forest classifier. Based on the expression profiles of these eight m6A regulators, two distinct RNA modification patterns (m6A cluster-A and cluster-B) were observed among the IS samples. Differential abundance of infiltrating immune cells and activation of HALLMARK signalling pathways were identified between the normal and IS samples, as well as among the two distinct m6A modification patterns. Notably, the WGCNA method highlighted the significant association of the black module with m6A cluster-B and several infiltrating immune cells. Furthermore, two machine learning methods identified several key genes exhibiting differential expression between control subjects and IS patients, as well as among distinct m6A modification patterns, including ABCA1, CPD, PRRG4, WDR46, and C19orf24. Meta-analysis revealed an association between WDR46 and a decreased risk of IS, while CPD and ABCA1 were linked to an increased risk of IS.
Conclusions
The present study provides compelling evidence highlighting the pivotal role of m6A modification in shaping the intricate and diverse immune microenvironment of IS. Notably, the CPD, ABCA1 and WDR46 genes emerge as potential novel biomarkers with implications for accurate diagnosis and immunotherapy of IS. These discoveries deepen our understanding of the intricate interplay between m6A modification, immune responses, and the pathogenesis of IS, opening new avenues for personalized treatment approaches.
The effect of obstacle length and height in supercritical free-surface flow
Authors: Michalski Hugh , Mattner Trent , Balasuriya Sanjeeva , Binder Benjamin 
Published: December 2024

Abstract

Two-dimensional open channel flow past a rectangular disturbance in the channel bottom is considered in the case of supercritical flow, where the dimensionless flow rate is greater than unity. The response of the free surface to the height and length of a rectangular disturbance is investigated using the forced Korteweg-de Vries model of Michalski et al. (Theor Comput Fluid Dyn 38:511 - 530, 2024). A rich and complex structure of solutions is found as the length of the disturbance increases, especially in the case of a negative disturbance. As the length of the disturbance is decreased, some solutions approach those of the well-studied point forcing approximation, but there are other solutions, for a negative disturbance, that are not predicted by the point forcing model. The stability of steady solutions is then considered numerically with established pseudospectral methods.
Analysis of Solutions of Fuzzy Differential Equations under the Generalized Derivative
Authors: Longo Felipe , Laiate Beatriz , Gadotti Marta Cilene , Meyer João Frederico da Costa Azevedo 
Published: December 2024

Abstract

This work investigates the existence of non-gH\(\ast\)-solutions of fuzzy differential equations under g-derivative. We begin by establishing a theorem that extend the calculus fundamental theorem to the fuzzy context of g-differentiability. After some particular examples that help understand the possible cases for such differential equations, some results are settled giving the necessary conditions for each one of the observed behaviors and more.
Save the Farms: Nonlinear Impact of Climate Change on Banks' Agricultural Lending
Authors: Liu Teng 
Published: December 2024

Abstract

The agricultural sector is particularly susceptible to the impact of climate change. In this paper, I investigate how vulnerability to climate change affects U.S. farms' credit access, and demonstrates that such impact is unequally distributed across farms. I find that higher exposure to climate change, measured by temperature anomaly, reduces bank lending to farms. Such impact is persistent, nonlinear, and heterogeneous. Small and medium farms almost always experience loss of loan access. In comparison, large farms see less severe credit contraction, and in some cases may even see improvement in funding. While small banks carry the burden of continuing to lend to small farms, their limited market share cannot compensate for the reduction of lending from medium and large banks. These results suggest that factors such as farm size and bank type can amplify the financial impact of climate change.
Revealing the prognostic landscape of hemoglobin, albumin, lymphocyte and platelet score in patients with lung cancer: a meta-analysis
Authors: Wang Wenxia , Ren Bi , Gou Haocheng , Guo Wu 
Published: December 2024

Abstract

The hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been reported to be associated with the progression of many types of tumors. Nevertheless, the connection between HALP score and individuals with lung cancer is still a subject of debate. We conducted a systematic evaluation to investigate the prognostic role of HALP score on survival outcomes in lung cancer patients. As of July 2024, we searched the PubMed, PubMed Central, Web of Science, and Embase databases to collect relevant articles evaluating the relationship between HALP and lung cancer prognosis. The pooled hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) for overall survival (OS), progression-free survival (PFS), recurrence-free survival (RFS), and disease-free survival (DFS) were analyzed. A total of 12 studies involving 7775 lung cancer patients were included. The combined results revealed that a low HALP score was associated with poorer OS (HR = 1.71, 95% CI, 1.28–2.30, p < 0.001), PFS (HR = 1.44, 95% CI, 1.15–1.80, p < 0.001), and DFS/RFS (HR = 2.78, 95% CI, 1.14–6.78, p < 0.001). Subgroup analysis further confirmed that pretreatment HALP was an independent predictor of OS in lung cancer patients. The decreased pretreatment HALP score was strongly associated with inferior prognosis in lung cancer patients. Our findings highlight that HALP score is a reliable biomarker of lung cancer prognosis. However, multicenter and prospective studies are needed to further validate its clinical utility.
Sustainable Biodegradation of Methylene Blue Dye by Enterobacter cloacae Strain BHPGT2024
Authors: Ramakrishnan Gnanasekaran , Gujjula Koteswara Reddy , Al Sai Sree Thanay , Jagarlapudi Sesha Bhavana , Tummalacharla Praveen , Kosuri Priyanka Hutha , Govind Geya , Shaik Baji , Mekala Janaki Ramaiah 
Published: December 2024

Abstract

The discharge of dye complexes from industrial effluents, especially from textile industries, remains a significant environmental concern. Synthetic dyes such as Methylene Blue contribute notably to pollution due to their persistence and potential toxicity, which disrupt ecosystems and pose health risks via bioaccumulation. Traditional dye removal methods are often expensive and environmentally harmful. This research focuses on isolating bacterial strains from the agricultural fields of KL University, screening them for their decolourization efficiency of Methylene Blue, and optimizing culture parameters for effective decolourization. The study investigates Enterobacter cloacae strain BHPGT2024, which shows a remarkable capability to degrade Methylene Blue at a concentration of 150 ppm, with reduced efficiency at higher concentrations. The strain achieved an 82.1% dye degradation capacity within 2 days at 37°C and 120 rpm. The degradation process was analysed using UV, FT-IR, and HPLC analyses, confirming the bacterium's ability to metabolize the dye into harmless byproducts under aerobic conditions. This strain offers an eco-friendly solution to dye pollution, aligning with green chemistry principles and circular economy goals. The findings highlight the potential of microbial biodiversity in ecological preservation and pave the way for innovative bioremediation strategies, representing a promising advancement towards mitigating industrial dye pollution and fostering a sustainable future.
Geographic Information System Based Soil Fertility Mapping in Lambunao, Iloilo, Philippines
Authors: Premarion Kit Oliver , Gabinete Greta , Consabo Leonie , Lebuna Maria Lea 
Published: December 2024

Abstract

This study was conducted in the top ten rice-producing barangays of Lambunao to evaluate the soil health of rice fields using Geographic Information System (GIS) based soil fertility mapping. A total of 73.47 hectares of rice fields were collected and to determined soil pH levels, organic matter, available Phosphorus, and available Potassium. The findings indicated a strongly acidic to moderately acidic soil condition across the areas, with pH values ranging from 4.75 in Pasig to 5.84 in Cunarom areas. Organic matter content varied between 2.12% in Pasig and 3.56% in Cunarom rice fields. Available phosphorus was not detected in four Barangays; otherwise, it ranged from 9.87 ppm in Bonbon to 11.73 ppm in Maribong. Available potassium showed the lowest at 206.11 ppm in Pasig farm and the highest at 653.18 ppm in Pajo area. These results led to the creation of a GIS map to visually represent the soil fertility in the studied areas and fertilizer recommendations were given to maintain the rice fields sustainably. This research represents a significant step forward in understanding and managing soil resources, contributing to environmental sustainability and food security.
Pixels of Wisdom: Philosophical Health via a Self-Knowledge Digital Survey
Authors: de Miranda Luis 
Published: December 2024

Abstract

This study explores the concept of philosophical health through the lens of digital knowledge platforms. It addresses the relative underrepresentation of philosophy in digital humanities and explores new avenues for philosophical inquiry and practice in the digital age. We employed an online survey to gather responses from 239 participants across six key elements of philosophical health: bodily sense, sense of self, sense of belonging, sense of the possible, sense of purpose, and philosophical sense. Using this pilot case, we examine how philosophy may utilize digital knowledge infrastructures to explore complex existential questions on a broader scale than analog methods allow. Our findings reveal insights into contemporary philosophical perspectives, including for example widespread feelings of disconnection from one’s body, a high percentage believing their self to be evolving, and prevalent feelings of loneliness which might or might not be digitally enhanced. We further discuss the ethical implications of using digital platforms for philosophical health assessment, including issues of privacy, informed consent, algorithmic bias, and the potential commodification of philosophical practice. We examine future directions, including AI-assisted philosophical counseling and non-metaphorical “wisdom of the crowds” research. Additionally, we explore how a digital approach may contribute to the accessibility of philosophical practice, potentially supporting ideas of “citizen science” in philosophy.
Profile of gut microbiome, plasma, and aqueous humor metabolome changes in high myopic cataract patients
Authors: Gu Xiaoxun , Ruan Xiaoting , Yang Wen , He Jing , Tang Li , Niu Dongling , Ma Bo 
Published: December 2024

Abstract

Background: Inflammation contributed to myopia. Scarce evidence explored the relationship between systemic inflammation and high myopia. Thus, we aim to elucidate this issue via the “Gut-retina axis”.
Methods: Patients with age-related cataracts (ARC) and high myopic cataracts (HMC) were included in the study. After comprehensive ophthalmic examinations, feces, plasma, and aqueous humor (AH) specimenswere collected from each patient.Detecting the V3-V4 region of 16S rDNA to obtain information on gut taxa and distinct gut taxa was obtained. LC-MS/MS systems were used to explore the metabolites of plasma and AH specimens. Using the “Dr. Tom” platform to find distinct metabolites. Then “corrplot” package and “pROC” package in R studio were conducted to find the relationship between gut taxa, metabolites, and axial lengths (AL).
Results: Class Bacilli (P=0.008), Order Lactobacillales (P=0.013) and Burkholderiales (P=0.047), and Family Lactobacillaceae (P=0.003) were increased in the HMC group. Genus Roseburia in the HMC group was decreased (P=0.012). 79 and 197 distinct metabolites were found in the plasma and AH specimensrespectively. From KEGG analysis, the distinct plasma metabolites of HMC were enriched in “ABC transporters”, “Steroid hormone biosynthesis”, and “PPAR signaling pathway”, whilst “Protein digestion and absorption”, “Aminoacyl-tRNA biosynthesis”, and “D-Amino acid metabolism” pathways enriched in AH specimens. Finally, we identified the 4-Phenolsulfonic acid in plasma and 5'-N-Ethylcarboxamidoadenosine in AH may be potential biomarkers of high myopia.
Conclusions: High myopic patients have distinct gut taxa and significantly different metabolites. Using multi-omics integrative analysis, new insights and biomarkers of high myopia will help us explore the pathogenesis of myopia.
Trial registration: www.chictr.org.cn identifier is ChiCTR2300071397.