bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mettl3-m6A-NPY axis governing neuron–microglia interaction regulates sleep amount of mice
Authors: Sun Qihang , Zhu Jinpiao , Zhao Xingsen , Huang Xiaoli , Qu Wenzheng , Tang Xia , Ma Daqing , Shu Qiang , Li Xuekun 
Published: February 2025

Abstract
Sleep behavior is regulated by diverse mechanisms including genetics, neuromodulation and environmental signals. However, it remains completely unknown regarding the roles of epitranscriptomics in regulating sleep behavior. In the present study, we showed that the deficiency of RNA m6A methyltransferase Mettl3 in excitatory neurons specifically induces microglia activation, neuroinflammation and neuronal loss in thalamus of mice. Mettl3 deficiency remarkably disrupts sleep rhythm and reduces the amount of non-rapid eye movement sleep. We also showed that Mettl3 regulates neuropeptide Y (NPY) via m6A modification and Mettl3 conditional knockout (cKO) mice displayed significantly decreased expression of NPY in thalamus. In addition, the dynamic distribution pattern of NPY is observed during wake-sleep cycle in cKO mice. Ectopic expression of Mettl3 and NPY significantly inhibits microglia activation and neuronal loss in thalamus, and restores the disrupted sleep behavior of cKO mice. Collectively, our study has revealed the critical function of Mettl3-m6A-NPY axis in regulating sleep behavior.
Phospho-seq: integrated, multi-modal profiling of intracellular protein dynamics in single cells
Authors: Blair John D. , Hartman Austin , Zenk Fides , Wahle Philipp , Brancati Giovanna , Dalgarno Carol , Treutlein Barbara , Satija Rahul 
Published: February 2025

Abstract
Cell signaling plays a critical role in neurodevelopment, regulating cellular behavior and fate. While multimodal single-cell sequencing technologies are rapidly advancing, scalable and flexible profiling of cell signaling states alongside other molecular modalities remains challenging. Here we present Phospho-seq, an integrated approach that aims to quantify cytoplasmic and nuclear proteins, including those with post-translational modifications, and to connect their activity with cis-regulatory elements and transcriptional targets. We utilize a simplified benchtop antibody conjugation method to create large custom neuro-focused antibody panels for simultaneous protein and scATAC-seq profiling on whole cells, alongside both experimental and computational strategies to incorporate transcriptomic measurements. We apply our workflow to cell lines, induced pluripotent stem cells, and months-old retinal and brain organoids to demonstrate its broad applicability. We show that Phospho-seq can provide insights into cellular states and trajectories, shed light on gene regulatory relationships, and help explore the causes and effects of diverse cell signaling in neurodevelopment.
Molecular basis for azetidine-2-carboxylic acid biosynthesis
Authors: Klaubert Tim J. , Gellner Jonas , Bernard Charles , Effert Juliana , Lombard Carine , Kaila Ville R. I. , Bode Helge B. , Li Yanyan , Groll Michael 
Published: February 2025

Abstract
Azetidine-2-carboxylic acid (AZE) is a long-known plant metabolite. Recently, AZE synthases have been identified in bacterial natural product pathways involving non-ribosomal peptide synthetases. AZE synthases catalyse the intramolecular 4-exo-tet cyclisation of S-adenosylmethionine (SAM), yielding a highly strained heterocycle. Here, we combine structural and biochemical analyses with quantum mechanical calculations and mutagenesis studies to reveal catalytic insights into AZE synthases. The cyclisation of SAM is facilitated by an exceptional substrate conformation and supported by desolvation effects as well as cation-π interactions. In addition, we uncover related SAM lyases in diverse bacterial phyla, suggesting a wider prevalence of AZE-containing metabolites than previously expected. To explore the potential of AZE as a proline mimic in combinatorial biosynthesis, we introduce an AZE synthase into the pyrrolizixenamide pathway and thereby engineer analogues of azabicyclenes. Taken together, our findings provide a molecular framework to understand and exploit SAM-dependent cyclisation reactions.
The Bushland, Texas, maize evapotranspiration, growth, and yield dataset Collection
Authors: Evett Steven R. , Marek Gary W. , Colaizzi Paul D. , Copeland Karen S. , Ruthardt Brice B. , Howell Terry A. 
Published: February 2025

Abstract
A collection of datasets describing six years of experiments on maize (Zea mays, L.) (corn) is presented (1989, 1990, 1994, 2013, 2016, and 2018). Four weighing lysimeters were used to determine crop evapotranspiration (ET). In-soil and above ground microclimate and ET data are presented on a 15-minute interval as are weather data for all days of the year. Data analysis determined ET, precipitation, irrigation, and dew and frost accumulation on a 15-minute basis from lysimeter mass data. Soil water content data from calibrated neutron probe readings is presented on a periodic basis. Crop planting, harvest, fertilization, pest control, and other agronomic information are presented in agronomic calendars by day of year. Crop growth data are presented on a periodic basis throughout the growing season, as are final crop biomass and yield data. The data are suitable for analysis of effects of irrigation and other agronomic decisions on crop yield and water productivity in the Southern High Plains region of the USA, for model calibration and testing, and for model improvement.
Comparative effects of gong’s mobilization and mobilization with movement in patients with adhesive capsulitis: a randomized clinical trial
Authors: Amjad Fareeha , Asghar Hasha 
Published: February 2025

Abstract
Adhesive Capsulitis results in a progressive contraction of the Glenohumeral joint capsule limiting active and passive range of motion, leading to functional disabilities. Joint mobilization plays a key role in the physical therapy treatment of Adhesive Capsulitis. A relatively new technique, Gong’s Mobilization, has been introduced for the treatment of Adhesive Capsulitis. It is focused on the correction of positional faults through controlled dynamic motion of the Glenohumeral joint. The mainstay of this clinical trial is a comprehensive comparative evaluation of MWM with Gong’s Mobilization as it remains insufficiently explored. The objective of this clinical trial was to compare the effects of Gong’s Mobilization and Mobilization with Movement on pain, range of motion and functional disability in patients with Adhesive Capsulitis. In this triple blinded randomized clinical trial, sixty patients of Adhesive Capsulitis were enrolled within group A (Gong’s Mobilization) and group B (Mobilization with Movement). The treatment protocol covered 12 treatment sessions for 4 weeks. Numeric Pain Rating Scale (NPRS), Goniometer, and Urdu version of Shoulder Pain and Disability Index (U-SPADI) were used to assess the pain, range of motion and functional status respectively. These outcome measures were assessed at baseline, after 6 treatment sessions (2 weeks) and conclusively after 12 treatment sessions (4 weeks). For data analysis, within the group differences were measured by Repeated Measure ANOVA and across the group differences were measured by independent t test. A significant difference within the mean values of baseline, week 2 and week 4 NPRS, ROM, and SPADI score was observed in both study groups (p < 0.001). Results of independent t test used to calculate across the group differences indicated that Gong’s Mobilization was more effective in reducing disability (SPADI)(p < 0.001) and improving ROM(p < 0.001), meanwhile both groups were equally effective in reducing NPRS scores(p = 0.78). Moreover, a medium to large effect size was also observed for all the outcomes, pain(d = 0.5), ROM (d = 0.5–2.7), SPADI(d = 0.5). It was concluded that Gong’s Mobilization is more effective than Movement with Mobilization. Following four weeks of treatment, it pronounced statistically significant and clinically relevant results in improving pain, ROM and functional status of patients with Adhesive Capsulitis.

Trial Registration Trial was registered in IRCT (Trial registration number: IRCT20190717044238N4 Trial Registration Date: 01-03-2023).
The unskilled-and-unaware problem and performance feedback in monotonous, easily accustomed, and repetitive work
Authors: Nakamoto Yasuhiro , Mori Tomoharu 
Published: February 2025

Abstract
The current research examined whether people predict their performance on monotonous, easily accustomed, and repetitive (MEAR) tasks accurately and confirm the effects of performance feedback on their MEAR work predictions. Considering typing on the keyboard as an MEAR task in modern society, 128 university students were asked to type a 12-digit number displayed on each monitor within 5 minutes, explaining that there would be 75 typing problems and participants would receive 20 yen per correct answer. Additionally, participants were informed that they could earn money by reaching a self-determined performance target, with the condition that if they did not reach their self-set goal, they would not receive any earnings. The main findings were as follows: Regardless of the performance levels of typing on keyboards, only 23% of the participants reached the goal, indicating that the absence of performance feedback led to individuals’ overestimation of performance. In contrast, providing feedback significantly improved performance predictions: 76% of the participants reached the goal with feedback on their own performance, 70% with feedback on others’ performance, and 88% with feedback on both their own and others’ performance information. Specifically, the effects between one’s own and others’ performance feedback did not vary at statistically significant levels.
Socio-demographic disparities in global trends of lip and oral cavity neoplasms from 1990 to 2021
Authors: Ghanem Amr Sayed , Tóth Ágnes , Nagy Attila Csaba 
Published: February 2025

Abstract
Oral cancer, the 13th most common globally, is primarily squamous cell carcinoma linked to tobacco, alcohol, and HPV. Despite advances in care, it remains a major health concern due to high mortality and its impact on quality of life. This study analyzed socio-demographic disparities in oral cancer burden using data from 1990 to 2021. We analyzed annual incidence, mortality, and DALYs across 204 countries, using age-standardized rates and the Socio-demographic Index (SDI) to assess development-related impacts. Statistical methods included Kruskal–Wallis tests, linear regression, joinpoint regression for trends, and Exponential Smoothing for forecasts (2022–2030), with analyses conducted in STATA and Python, and p < 0.05 as significant. Incidence was highest in high SDI countries, while mortality and DALYs were highest in low and middle SDI countries (p < 0.001). From 1990 to 2021, incidence increased (AAPC: 0.5–1.0%), while mortality (APC: − 0.5%) and DALYs (APC: − 0.6%) declined in low SDI regions. Significant disparities across SDI categories (p < 0.001) showed incidence rising with socio-demographic development (R2 = 0.102, p < 0.001), with high-middle SDI regions bearing the highest mortality and DALYs. These findings highlight the need for awareness, prevention, early detection, and accessible care, especially in lower SDI regions.
A microscale thermophoresis-based enzymatic RNA methyltransferase assay enables the discovery of DNMT2 inhibitors
Authors: Nidoieva Zarina , Sabin Mark O. , Dewald Tristan , Weldert Annabelle C. , Hoba Sabrina N. , Helm Mark , Barthels Fabian 
Published: February 2025

Abstract
RNA methyltransferases (MTases) have recently become increasingly important in drug discovery. Yet, most frequently utilized RNA MTase assays are limited in their throughput and hamper this rapidly evolving field of medicinal chemistry. This study developed a microscale thermophoresis (MST)-based split aptamer assay for enzymatic MTase investigations, improving current methodologies by offering a non-proprietary, cost-effective, and highly sensitive approach. Our findings demonstrate the assay’s effectiveness across different RNA MTases, including inhibitor characterization of METTL3/14, DNMT2, NSUN2, and S. aureus TrmD, enabling future drug discovery efforts. Using this concept, a pilot screening on the cancer drug target DNMT2 discovered several hit compounds with micromolar potency.
Dietary changes are associated with an increase in air pollution-related health and environmental inequity in China
Authors: Luo Biao , Huang Jianwei , Liu Xueying , Kwan Mei-Po , Tai Amos P. K. 
Published: February 2025

Abstract
Agriculture is an important contributor to air pollution and its health impacts, with ramifications for environmental and health inequity. A substantial fraction of these effects can be attributable to dietary changes, but the extent of such impacts remains unclear. Here we show that the PM2.5-related mortality attributable specifically to dietary changes and the associated rising agricultural emissions has a high Gini coefficient of 0.369 in China in 2010, and raises the Gini coefficient of all-cause PM2.5-related mortality from 0.189 to 0.197 with more uneven allocation among income groups, reflecting worsened health inequity and an export of pollution from richer coastal regions to poorer agricultural regions via food trade. Such mortality is associated positively with urbanization but negatively with green space and healthcare quality. Our results also provide empirical evidence for the environmental Kuznets curve hypothesis, and offer decision support for equitable clean air, food and health policies in China.
Integrated photonic programmable random matrix generator with minimal active components
Authors: Zelaya Kevin , Honari-Latifpour Mostafa , Miri Mohammad-Ali 
Published: February 2025

Abstract
Random matrices are fundamental in photonic computing because of their ability to model and enhance complex light interactions and signal processing capabilities. In manipulating classical light, random operations are utilized for random projections and dimensionality reduction, which are important for analog signal processing, computing, and imaging. In quantum information processing, random unitary operations are essential to boson sampling algorithms for multiphoton states in linear photonic circuits. Random operations are typically realized in photonic circuits through fixed disordered structures or through large meshes of interferometers with reconfigurable phase shifters, requiring a large number of active components. In this article, we introduce a compact photonic circuit for generating random matrices by utilizing programmable phase modulation layers interlaced with a fixed mixing operator. We show that using only two random phase layers is sufficient for producing output optical signals with a white-noise profile, even for highly sparse input optical signals. We experimentally demonstrate these results using a silicon-based photonic circuit with tunable thermal phase shifters and waveguide lattices as mixing layers. The proposed circuit offers a practical method for generating random matrices for photonic information processing and for applications in data encryption.
Identification of differentiating sonographic features between fibroadenomas and malignant tumors of the breast mimicking fibroadenomas: 10-year experience in 421 histologically verified cases
Authors: Swoboda Michael , Deeg Johannes , Egle Daniel , Ladenhauf Valentin , Galijasevic Malik , Plöbst Christoph , Haushammer Silke , Amort Birgit , Pamminger Mathias , Gruber Leonhard 
Published: February 2025

AbstractUltrasound is a highly effective imaging tool for assessing abnormalities within the breast. However, especially the identification of malignant tumors of the breast mimicking fibroadenomas (MTMF) by means of breast ultrasound can be challenging. This study aimed to identify reliable imaging characteristics of MTMF.This retrospective study was approved by the local ethics review board. After screening 623 patients, 421 cases with histologically verified fibroadenomas and MTMF between 2011 and 2021 were included. Sonographic features were compared to histopathological results and an algorithm-based quantitative ranking of predictors contributing most to the correct classification of malignant tumors was conducted.A total of 363 benign, 18 intermediate, and 40 malignant lesions were analyzed. Algorithm-based quantitative ranking showed that the most predictive features indicating malignancy were a hyperechoic rim (gain ratio merit 0.135 ± 0.004), an irregular border (0.057 ± 0.002), perilesional stiffening (0.054 ± 0.002), pectoral contact (0.051 ± 0.003), an irregular shape (0.029 ± 0.001), and irregular vasculature (0.027 ± 0.002).Ultrasound findings for fibroadenomas vary, making identification of MTMF challenging. Features such as indistinct margins and increased perilesional echogenicity are predictors for malignancy and should be considered during sonographic evaluation of fibroadenomas and MTMF.
Investigating the Role of Personalized Nutritional Counseling in Enhancing Oral Health Management: A Cross-Sectional Survey among Saudi Arabian Dental Practitioners
Authors: Parveen Sameena 
Published: February 2025

Abstract
Objectives This study evaluated Saudi Arabian dental practitioners' knowledge, practices, and perceptions regarding personalized nutritional counseling (PNC) and its integration into oral health management.
Materials and Methods A total of 207 dental practitioners in Saudi Arabia were the subjects of a cross-sectional survey.The survey consisted of four sections: (1) knowledge and practices of PNC, (2) training and resources, (3) challenges and barriers, and (4) perceptions of the impact of PNC on oral health management. The data were stratified by age, gender, years of experience, specialization, and workplace setting.
Statistical Analysis Descriptive statistics were used to analyze the frequency of responses, and chi-square tests were performed to assess associations between demographic variables (e.g., gender, experience) and critical outcomes. A significance level of p <0.05 was considered statistically significant.
Results Out of 207 practitioners, most (80%) of respondents acknowledged the importance of nutrition in oral health, yet only 20% regularly provided nutritional counseling. Gender showed a significant association, with females more likely to consider dietary habits (72%, p = 0.003) and medical history (85%, p = 0.005) during counseling. Notably, confidence levels in nutritional counseling increased with experience, with those with more than 10 years of experience being significantly more confident (p < 0.001). Private clinic professionals were also more likely to offer personalized nutritional guidance (36.4%) compared to those in government (3.8%) and teaching institutions (30.3%; (p < 0.001). Common barriers identified included insufficient training (65%, p = 0.024) and time constraints (45%, p = 0.062). Moreover, the perceived impact of nutritional counseling on oral health management was significant, with 70% of participants agreeing that it enhances overall patient outcomes.
Conclusion The findings suggest that while dental practitioners recognize the value of PNC, significant barriers impede its consistent application. Addressing these barriers through enhanced training and resources is essential for integrating nutritional counseling into routine oral health care practices, ultimately benefiting patient outcomes. There is a strong call for improved training and resources to equip dental practitioners to provide personalized nutritional advice.
The pricing of sustainability-linked bonds on the primary and secondary bond markets
Authors: Poggensee Jannis 
Published: February 2025

Abstract
This paper investigates the yield differentials between sustainability-linked bonds (SLBs)—a novel fixed income instrument whose coupon payments are linked to the achievement of predefined sustainable performance targets—and conventional bonds issued by the same company, both on the primary and secondary bond markets. By fitting yield curves with the Nelson–Siegel Svensson method on the SLB’s pricing day and applying panel regressions to examine yield differentials thereafter, the study assesses whether SLBs trade at a premium, indicating higher prices and consequently lower yields. Fixed-effects panel regression is utilized to isolate the unobserved time-invariant yield differential between SLBs and a matched synthetic conventional bond with the same residual maturity. The results show a statistically significant but economically small premium for SLBs in both the primary and secondary market. The sustainability premium is not significantly driven by the SLB’s penalty structure and fluctuates over time. This research contributes to the literature by applying a novel methodological framework to examine the evolving nature of SLB premiums and their implications for both issuers and investors.
Reinforcement learning versus data-driven dynamic programming: a comparison for finite horizon dynamic pricing markets
Authors: Lange Fabian , Dreessen Leonard , Schlosser Rainer 
Published: February 2025

Abstract
Revenue management (RM) plays a vital role to optimize sales processes in real-life applications under incomplete information. The prediction of consumer demand and the anticipation of price reactions of competitors became key factors in RM to be able to apply classical dynamic programming (DP) methods for expected long-term reward maximization. Modern model-free deep Reinforcement Learning (RL) approaches are able to derive optimized policies without explicit estimations of underlying model dynamics. However, RL algorithms typically require either vast amounts of training data or a suitable synthetic model to be trained on. As existing studies focus on one group of algorithms only, the relation between established DP approaches and new RL techniques is opaque. To address this issue, in this paper, we use a dynamic pricing framework for an airline ticket market to compare state-of-the-art RL algorithms and data-driven versions of classic DP methods regarding (i) performance and (ii) required data to each other. For the DP techniques, we use estimations of market dynamics to be able to compare their performance and data consumption against RL methods. The numerical results of our experiments, which include monopoly as well as duopoly markets, allow to study how the different approaches’ performances relate to each other in exemplary settings. In both setups, we find that with few data (about 10 episodes) fitted DP methods were highly competitive; with medium amounts of data (about 100 episodes) DP methods got outperformed by RL, where PPO provided the best results. Given large amounts of training data (about 1000 episodes), the best RL algorithms, i.e., TD3, DDPG, PPO, and SAC, performed similarly achieving about 90% and more of the optimal solution.