bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synergistic effect of defocus incorporated multiple segment glasses and repeated low level red light therapy against myopia progression
Authors: Yang Yan , Liu Shenghong , Gao Wenwen , Wang Lei , Liu Na , Zhang Shiying , Yang Lianjing , Cheng Lingyun 
Published: February 2025

Abstract
Defocus incorporated multiple segment (DIMS) lenses and repeated low-level red-light (RLRL) are used to retard myopia progression. However, it is currently unknown if there is a synergistic effect of the two interventions. In the current study, 190 school-aged children with myopia (380 eyes) were studied for the change in axial length (AL) over nearly one year of follow-up. Of 380 eyes, 170 eyes wore DIMS lenses, 80 eyes had RLRL therapy, and 130 eyes had both interventions (DIMS_RLRL) for myopia control. AL changes were calculated at each follow-up visit by subtracting the baseline measurements and normalized to yearly changes in mm. AL changes as a primary outcome were analyzed in a generalized linear mixed model to compare effect sizes of myopia control among three interventions while adjusting for age, sex, baseline axial length, and follow-up length. Participants had a mean age of 9.84 ± 2.63 years old, mean AL of 24.49 ± 1.20 mm, mean SER of -2.90 ± 2.08 diopters, and mean follow-up time of 301 ± 91 days. By the end of the study, the adjusted mean yearly axial change with combination therapy was − 0.13 mm, -0.04 mm for the eyes with RLRL alone, and 0.16 mm for the eyes with DIMS lenses alone (p < 0.0001). Combination therapy of DIMS and RLRL has significantly greater effect size in controlling myopia progression than either RLRL alone (p = 0.0009) or DIMS alone (p < 0.0001).
Me vs. the machine? Subjective evaluations of human- and AI-generated advice
Authors: Osborne Merrick R. , Bailey Erica R. 
Published: February 2025

Abstract
Artificial intelligence (“AI”) has the potential to vastly improve human decision-making. In line with this, researchers have increasingly sought to understand how people view AI, often documenting skepticism and even outright aversion to these tools. In the present research, we complement these findings by documenting the performance of LLMs in the personal advice domain. In addition, we shift the focus in a new direction—exploring how interacting with AI tools, specifically large language models, impacts the user’s view of themselves. In five preregistered experiments (N = 1,722), we explore evaluations of human- and ChatGPT-generated advice along three dimensions: quality, effectiveness, and authenticity. We find that ChatGPT produces superior advice relative to the average online participant even in a domain in which people strongly prefer human-generated advice (dating and relationships). We also document a bias against ChatGPT-generated advice which is present only when participants are aware the advice was generated by ChatGPT. Novel to the present investigation, we then explore how interacting with these tools impacts self-evaluations. We manipulate the order in which people interact with these tools relative to self-generation and find that generating advice before interacting with ChatGPT advice boosts the quality ratings of the ChatGPT advice. At the same time, interacting with ChatGPT-generated advice before self-generating advice decreases self-ratings of authenticity. Taken together, we document a bias towards AI in the context of personal advice. Further, we identify an important externality in the use of these tools—they can invoke social comparisons of me vs. the machine.
Global decline in net primary production underestimated by climate models
Authors: Ryan-Keogh Thomas J. , Tagliabue Alessandro , Thomalla Sandy J. 
Published: February 2025

Abstract
Marine net primary production supports critical ecosystem services and the carbon cycle. However, the lack of consensus in the direction and magnitude of projected change in net primary production from models undermines efforts to assess climate impacts on marine ecosystems with confidence. Here we use contemporary remote sensing net primary production trends (1998–2023) from six remote sensing algorithms to discriminate amongst fifteen divergent model projections. A model ranking scheme, based on the similarity of linear responses of net primary production to changes in sea surface temperature, chlorophyll-a and the mixed layer, finds that future declines in net primary production are more likely than presently predicted. Even the best ranking models still underestimate the sensitivity of declines in net primary production to ocean warming, suggesting shortcomings remain. Reproducing this greater temperature sensitivity may lead to even larger declines in future net primary production than presently considered for impact assessment.
Assessing urban security and safety smartness: A systematic review of key performance indicators
Authors: Gallardo‐Amores Francisco J. , Del‐Real Cristina , Díaz‐Fernández Antonio M. 
Published: February 2025

AbstractThe smart city framework has become a key approach to addressing urbanisation challenges over the last 2 decades. While KPIs have been developed for various smart city dimensions, security and safety remain underexplored. This paper addresses this gap through a systematic review of KPIs. The study examines how urban security and safety smartness is assessed, focusing on three questions: (RQ1) What indicators measure urban security and safety smartness? (RQ2) In which smart city dimensions are these KPIs located? (RQ3) How are these KPIs defined and quantified? Using PRISMA guidelines, databases including Web of Science, Scopus, and IEEE Xplore were searched, yielding 2369 sources. After screening, 38 studies were analysed. A total of 182 unique KPIs were identified and categorised into crime prevention and control (53), perceptions of safety (11), emergency and disaster management (50), and cybersecurity (68). Most KPIs focus on city outcomes, with fewer addressing smart technology functionalities. Definitions and measurement approaches lack consensus. This review identifies gaps in defining and measuring smart urban security and safety. Standardising KPIs and incorporating technology‐specific metrics are key directions for future research.
The Skincubator: A Novel Incubator for Skin-to-Skin Care (SSC) of Premature Neonates, Enables SSC within Humidified Environment and may Improve Thermoregulation during SSC
Authors: Nitzan Itamar , Kasirer Yair , Mimouni Francis B. , Kagan Tehilla , Bin Nun Alona , Weiss Tali B. , White Robert D. , Hammerman Cathy 
Published: February 2025

Objective This study aimed to assess thermoregulation and humidity within the Skincubator—a novel, wearable skin-to-skin incubator designed to attach to the caregiver.
Study Design Preterm neonates (PN; born between 24 and 33 weeks gestational age [GA]) received skin-to-skin care (SSC) either via the Skincubator or traditional SSC (t-SSC) with continuous axillary temperature monitoring.
Results Twenty PN were enrolled in the study and treated in the Skincubator. One couple who consented to Skincubator care during delivery subsequently revoked their consent and the baby was excluded from further analysis. Fifty-four paired sessions of Skincubator and t-SCC were performed and compared for 19 babies. The average GA was 29 weeks (range: 26–32), the average weight was −1,296 ± 271 g, and the average day of life was 5 ± 2. The temperature drop after transfer to Skincubator care was smaller than in t-SSC (0.2°C [0.2–0.3] vs. 0.4°C [0.3–0.6]; Wilcoxon's signed rank test [WSRT], p < 0.001). The average hypothermia time per session was a median (25th–75th%) of 8.2 minutes (0–9) for Skincubator, compared to 27.8 minutes (0–56) for t-SSC, respectively (WSRT, p = 0.002). No baby had moderate hypothermia (35.5–35.9°C) during Skincubator care as compared with eight babies who experienced moderate hypothermia during t-SSC (Fisher's exact test p = 0.003). The average Skincubator humidity was 85 ± 7% and was above 70% during 93% of the time.
Conclusion Skincubator SSC was superior to t-SSC in maintaining PN temperature while also maintaining an optimally humidified environment. The Skincubator may promote early SSC in very and extremely PN. (Trial registration number MOH_2021–12–13_010470 registration date 24/10/21.)
Key Points
No Development (Economics or Studies) Without Decolonisation
Authors: Dutt Devika 
Published: February 2025

Abstract
The decolonisation of development studies and knowledge in general has become a very popular conversation. However, the idea of decolonisation is rather ill-defined in academia, with a variety of arguably unrelated initiatives being pursued in the interest of decolonising development studies. This paper defines what decolonising development studies entails by arguing that development studies is characterized by eurocentrism. Specifically, I argue that the idea of development in development studies is that of the development of capitalism, which is seen to have developed in Europe due to largely intrinsic European characteristics related to resource availability, labour productivity, and institutions. Therefore, much of the discourse of development is based on this implicit idea that the periphery can and should follow this path of progress. However, this is a path of development is mythical, and ignores the role played by colonialism and the slave trade, and the transformation of social relations. And since the Eurocentric understanding of the development of capitalism in the capitalist centre is the epistemological norm for development, the periphery can only be understood as aberrant from the ideal developmental norm. This compromises our understanding of the process of development. This article argues that decolonising development studies means dismantling the dominance of Eurocentric theories, methodologies, and approaches in development studies and to challenge the structural exclusions in development studies that supports and legitimizes Eurocentrism, and in turn, imperialism.
Testing the Effects of cosmic Ray Flux Intensity Modulation on Solar Emission Characteristics
Authors: ONAH COSTECIA IFEOMA , Okike Ogbonnaya , Alhassan Jibrin Adejoh , Menteso Firew Meka , UGWOKE ROMANUS EJIKE , IYIDA EVARISTUS UZOCHUKWU 
Published: February 2025

Abstract
We investigate the relationship between the magnitudes of Forbush decreases (FDs) and solar-geomagnetic characteristics using daily-averaged galactic cosmic ray (GCR) data from Inuvick (INVK) and Magadan (MGDN) neutron monitor (NM) stations to aid in counting the case of Galactic Cosmic Ray (GCR) flux intensity modulation. The FDs obtained with automated new computer software algorithm from daily-averaged GCR data of IZMIRAN common website: http://cr0.izmiran.ru/common, at INVK (224) and MGDN (229) NM stations, from 1998 to 2002, were used in the present work. The associated solar-geomagnetic parameters of the same time range were obtained from the OMNI website. The statistical analytical method was employed to test the link between FD amplitudes and solar-geomagnetic variables. We observed negative trends in FD-IMF, FD-SWS, FD-Kp, FD-SSN and FD-SI, while a positive relation was indicated in FD-Dst at both stations. All are statistically significant at a 95\% confidence level. The results obtained here imply that solar emission characteristics impact the GCR flux intensity modulation.&#xD;&#xD;
Subpixel-based bidirectional distortion correction for two-dimensional astronomical fiber spectral images
Authors: Hu Dongsheng , Chen Chuanqi , Yang Haojie , Wang Anzhi , Yue Gang , Gan Zhaoxv , Chen Xudong , Yan Yunxiang , Zhong Yue , Xu Zhi , Qu Zhongquan , Wang Pengfei , Geng Tao , Chen Shuang , Sun Weimin 
Published: February 2025

Abstract
This paper proposes a subpixel transformation method to correct Keystone and Smile distortions in fiber spectral images from the Fiber Arrayed Solar Optical Telescope. These distortions affect the spatial and spectral positions, degrading resolution and accuracy. To correct Keystone distortion, we use a local summation and peak-finding method to locate central horizontal coordinates, calculate shifting values, and straighten the curves. For Smile distortion, we use quartic polynomial fitting based on absorption lines at different wavelengths. This technique preserves subpixel components, redistributes pixel values, and interpolates non-fiber portions, rectifying the spectra for accurate analysis. The method can also be applied to other astronomical projects like Large Sky Area Multi-Object Fiber Spectroscopic Telescope, enhancing the accuracy and reliability of spectral data in various astronomical studies.
Measurement and influencing factors of urban waterfront street vitality from the perspectives of behavior and perception
Authors: Ji Xiang , Fu Yao , Shi Jiaxuan , Liu Haixiao 
Published: February 2025

Abstract
Serving as the direct interface for interaction between the waterfront and urban dwellers, the street space environment significantly influences people’s living experiences and social interactions. Despite progress in the renovation and development of waterfront streets, these areas remain underutilized and lack the vitality expected of such locations. Using the Hunhe Waterfront Streets in Shenyang as a case study, this research employed Baidu heatmap data and the Semantic Differential method to assess both the behavioral and perceived vitality of the area. Subsequently, the study explored the main factors influencing behavioral vitality in waterfront streets from three aspects: street accessibility, facility configuration and environmental construction. It also examined the key environmental features of waterfront streets that affect perceived vitality under visual perception. Additionally, the study performed a coupling analysis to explore the relationship between behavioral and perceived vitality within the waterfront streets. The results indicated that the density of infrastructure and commercial facilities, as well as the continuity of pedestrian paths, were key environmental features influencing behavioral vitality. The degree of motorization, green visual index and building enclosure ratio were the main environmental features affecting perceived vitality. Moreover, the vitality coordination of the Hunhe Waterfront Streets was relatively poor, leaving considerable room for improvement. By integrating behavior and their perceptions of the environment, the study explored the coordination of waterfront street vitality and its intrinsic connection with street environmental features. This work aids in developing more effective and user-centric design strategies for waterfront streets, offering practical guidance for their revitalization and redevelopment.
MMnc: Multi-modal interpretable representation for non-coding RNA classification and class annotation
Authors: Creux Constance , Zehraoui Farida , Radvanyi François , Tahi Fariza 
Published: February 2025

Abstract

Motivation
As the biological roles and disease implications of non-coding RNAs continue to emerge, the need to thoroughly characterize previously unexplored non-coding RNAs becomes increasingly urgent. These molecules hold potential as biomarkers and therapeutic targets. However, the vast and complex nature of non-coding RNAs data presents a challenge. We introduce MMnc, an interpretable deep learning approach designed to classify non-coding RNAs into functional groups. MMnc leverages multiple data sources—such as the sequence, secondary structure, and expression—using attention-based multi-modal data integration. This ensures learning of meaningful representations while accounting for missing sources in some samples.

Results
Our findings demonstrate that MMnc achieves high classification accuracy across diverse non-coding RNA classes. The method’s modular architecture allows for the consideration of multiple types of modalities, whereas other tools only consider one or two at most. MMnc is resilient to missing data, ensuring that all available information is effectively utilized. Importantly, the generated attention scores offer interpretable insights into the underlying patterns of the different non-coding RNA classes, potentially driving future non-coding RNA research and applications.

Availability
Data and source code can be found at EvryRNA.ibisc.univ-evry.fr/EvryRNA/MMnc.

Supplementary information
Supplementary data are available at Bioinformatics online.
A simple and powerful method for large-scale composite null hypothesis testing with applications in mediation analysis
Authors: Liu Yaowu 
Published: February 2025

ABSTRACT
Large-scale mediation analysis has received increasing interest in recent years, especially in genome-wide epigenetic studies. The statistical problem in large-scale mediation analysis concerns testing composite null hypotheses in the context of large-scale multiple testing. The classical Sobel’s and joint significance tests are overly conservative and therefore are underpowered in practice. In this work, we propose a testing method for large-scale composite null hypothesis testing to properly control the type I error and hence improve the testing power. Our method is simple and essentially only requires counting the number of observed test statistics in a certain region. Non-asymptotic theories are established under weak assumptions and indicate that the proposed method controls the type I error well and is powerful. Extensive simulation studies confirm our non-asymptotic theories and show that the proposed method controls the type I error in all settings and has strong power. A data analysis on DNA methylation is also presented to illustrate our method.
TaintAttack: rapid attack investigation based on information flow tracking
Authors: Pan Yuedong , Zhao Lixin , Leng Tao , Li Chaofei , Yu Aimin , Cai Lijun 
Published: February 2025

Abstract
The perpetual battle between defenses and attacks in computing systems keeps evolving. In response to the growing complexity of attacks, data provenance has emerged as a vital solution for analysing alarms and conducting attack investigation by capturing intricate relationships among system entities. Despite its potential, the challenges of dealing with large-scale provenance graphs and a high volume of alarms persist, leading to inefficiencies in alarm analysis and attack investigation. To tackle these challenges, we present TaintAttack, an innovative approach for attack investigation. When performing provenance graph construction, TaintAttack conducts real-time tagging for system entities. To emphasize the critical threats, TaintAttack quantifies the threat levels of alarms based on event rarity, contextual features, and impact severity. Furthermore, guided by information flow tagging, TaintAttack commences attack investigation from alarms with high threat levels, greatly enhancing the overall efficiency of the investigation process. The evaluation results on 12 multi-stage attacks show that TaintAttack performs better in attack investigation compared to existing studies, reducing the investigation time by 2 orders of magnitude.
Do adrenal incidentalomas have an impact on mental health? A comprehensive review
Authors: Kastelan Darko , Dusek Tina 
Published: February 2025

Abstract
Adrenal incidentalomas (AIs) are increasingly detected during imaging performed for conditions unrelated to adrenal pathology. Numerous studies have shown that the presence of AI is associated with a higher frequency of hypertension, type 2 diabetes, dyslipidemia, obesity, and osteoporosis. This increased morbidity is mostly related to mild autonomous cortisol secretion, which is the most common hormonal abnormality in these patients. It is well known that glucocorticoid excess affects the hippocampus and prefrontal cortex, brain structures involved in mood regulation and cognitive processes, leading to a wide range of psychiatric symptoms, including depression. While these effects are well documented in patients with Cushing's syndrome, data on mental health changes in patients with AIs remain scarce. Additionally, the few existing studies have several limitations, leaving important clinical questions unanswered. Consequently, the extent to which AIs are associated with impaired mental health and whether patients would benefit from surgical treatment remains unclear. Addressing these challenges is crucial for developing adequate management strategies. This review explores potential psychological and psychiatric implications of AIs. By synthesizing existing literature, we aim to explain the relationship between AIs and mental health disorders, providing a background for future research and clinical practice guidelines.
The Wartburg gittern: new insights
Authors: Hirsch Thilo , Lewon Marc , Jacobs Grit , Fuchs Theobald , Crémades Matéo , Haiduk Marina 
Published: February 2025

Abstract
Since 1860, the collection of the Wartburg Foundation in Eisenach has housed a small lute-like instrument that, based on the glued-in instrument label, is attributed to Hans Ott in Nuremberg, dated around 1450 and described as a gittern. This so-called Wartburg gittern has, to date, been considered to be one of the oldest surviving European plucked string instruments, is regularly mentioned in musicological literature and has often been ‘copied’ in the course of historical performance practice. Surprisingly, however, there has been neither a detailed study nor a comprehensive publication on this instrument. As part of a research project by the Swiss National Science Foundation at the Bern Academy of the Arts, the Wartburg gittern was re-examined in 2021. In addition to the direct analysis of the instrument, a three-dimensional model was created from numerous photographs using photogrammetry, a micro-computed tomography scan was carried out in collaboration with the Fraunhofer Development Center for X-ray Technology in Fürth, Bavaria (Fraunhofer-IIS/EZRT), a dendrochronological dating of the soundboard of the instrument was commissioned and new research into its provenance was undertaken. The most important findings are presented in this article.
Metabolic analysis of the mode of action and mode of resistance of fusidic acid against Staphylococcus aureus
Authors: Luo Dan , Ma Juanjuan , Xie Weile , Wang Zhe 
Published: February 2025

Abstract
Understanding bacterial responses to antibiotics is essential for identifying resistance mechanisms and developing novel therapies. This study evaluated the resistance of Staphylococcus aureus (S. aureus) to fusidic acid (FD) in 100 patients with skin and soft tissue infections (SSTIs), revealing susceptibility to FD despite resistance to other antibiotics. Through adaptive laboratory evolution, we developed a highly FD-resistant strain, E10, and identified three gene mutations (fusA, BPENGOFF-00211, and rplF) using whole-genome sequencing. The fusA mutation was the primary contributor to resistance. Furthermore, the evolved fusA mutant strain (H457Y) displayed impaired coagulation function and reduced growth rates. We also analyzed the metabolomic profiles of ancestral ATCC 25923 and evolved E10 strains, both treated and untreated with FD, revealing that the fusA gene can independently induce metabolic reprogramming. These changes primarily impacted pathways involved in central carbon metabolism, nucleotide metabolism, and amino acid synthesis. This study highlights the complexity of FD resistance in S. aureus and offers insights into the metabolic pathways associated with antibiotic resistance.