bluuebunny/crossref_metadata_2025_split huggingface dataset:
SEC-MX: an approach to systematically study the interplay between protein assembly states and phosphorylation
Authors: Doron-Mandel Ella , Bokor Benjamin J. , Ma Yanzhe , Street Lena A. , Tang Lauren C. , Abdou Ahmed A. , Shah Neel H. , Rosenberger George , Jovanovic Marko 
Published: January 2025

Abstract
A protein’s molecular interactions and post-translational modifications (PTMs), such as phosphorylation, can be co-dependent and reciprocally co-regulate each other. Although this interplay is central for many biological processes, a systematic method to simultaneously study assembly states and PTMs from the same sample is critically missing. Here, we introduce SEC-MX (Size Exclusion Chromatography fractions MultipleXed), a global quantitative method combining Size Exclusion Chromatography and PTM-enrichment for simultaneous characterization of PTMs and assembly states. SEC-MX enhances throughput, allows phosphopeptide enrichment, and facilitates quantitative differential comparisons between biological conditions. Conducting SEC-MX on HEK293 and HCT116 cells, we generate a proof-of-concept dataset, mapping thousands of phosphopeptides and their assembly states. Our analysis reveals intricate relationships between phosphorylation events and assembly states and generates testable hypotheses for follow-up studies. Overall, we establish SEC-MX as a valuable tool for exploring protein functions and regulation beyond abundance changes.
Stress landscape of folding brain serves as a map for axonal pathfinding
Authors: Solhtalab Akbar , Foroughi Ali H. , Pierotich Lana , Razavi Mir Jalil 
Published: January 2025

Abstract
Understanding the mechanics linking cortical folding and brain connectivity is crucial for both healthy and abnormal brain development. Despite the importance of this relationship, existing models fail to explain how growing axon bundles navigate the stress field within a folding brain or how this bidirectional and dynamic interaction shapes the resulting surface morphologies and connectivity patterns. Here, we propose the concept of “axon reorientation” and formulate a mechanical model to uncover the dynamic multiscale mechanics of the linkages between cortical folding and connectivity development. Simulations incorporating axon bundle reorientation and stress-induced growth reveal potential mechanical mechanisms that lead to higher axon bundle density in gyri (ridges) compared to sulci (valleys). In particular, the connectivity patterning resulting from cortical folding exhibits a strong dependence on the growth rate and mechanical properties of the navigating axon bundles. Model predictions are supported by in vivo diffusion tensor imaging of the human brain.
Time-resolved compositional and dynamics analysis of biofilm maturation and dispersal via solid-state NMR spectroscopy
Authors: Xue Yi , Kang Xue 
Published: January 2025

Abstract
Dispersal plays a crucial role in the development and ecology of biofilms. While extensive studies focused on elucidating the molecular mechanisms governing this process, few have characterized the associated temporal changes in composition and structure. Here, we employed solid-state nuclear magnetic resonance (NMR) techniques to achieve time-resolved characterization of Bacillus subtilis biofilms over a 5-day period. The mature biofilm, established within 48 h, undergoes significant degradation in following 72 h. The steepest decline of proteins precedes that of exopolysaccharides, likely reflecting their distinct spatial distribution. Exopolysaccharide sugar units display clustered temporal patterns, suggesting the presence of distinct polysaccharide types. A sharp rise in aliphatic carbon signals on day 4 probably corresponds to a surge in biosurfactant production. Different dynamic regimes respond differently to dispersal: the mobile domain exhibits increased rigidity, while the rigid domain remains stable. These findings provide novel insights and perspectives on the complex process of biofilm dispersal.
Milk-derived extracellular vesicles and gut health
Authors: Muttiah Barathan , Law Jia Xian 
Published: January 2025

Abstract
Milk is a nutrient-rich liquid produced by mammals, offering various health benefits due to its composition of proteins, fats, carbohydrates, vitamins, and minerals. Beyond traditional nutritional aspects, recent research has focused on extracellular vesicles (EVs) found in milk and their potential health benefits, especially for gastrointestinal (GI) health. Milk-derived EVs have been shown to influence gut microbiota, promote gut barrier integrity, support tissue repair and regeneration, modulate immune responses, and potentially aid in managing conditions like inflammatory bowel disease (IBD) and colorectal cancer. This review discusses the current understanding of milk-EVs’ effects on gut health, highlighting their potential therapeutic applications and future research directions. These findings underscore the promising role of milk-derived EVs in advancing GI health and therapeutics, paving the way for innovative approaches in oral drug delivery and targeted treatments for GI disorders.
Subclinical patterns of cardiac involvement by transthoracic echocardiography in individuals with mild initial COVID-19
Authors: Shchendrygina Anastasia , Ka Mame Madjiguène , Rodriguez Carlos , Alsoufi Safaa , Hoffmann Jedrzej , Kumar Parveen , Carerj Maria Ludovica , Vanchin Byambasuren , Holm Niels , Karyou Argyro , Ganbat Mijidsuren , Nagel Eike , Puntmann Valentina O. 
Published: January 2025

Abstract
The aim of this study was to evaluate the subclinical patterns and evolution of cardiac abnormalities via transthoracic echocardiography (TTE) in patients with mild initial COVID-19 illness. A total of 343 infected individuals (163 males; age 44 (interquartile range, IQR 35–52) years) years) underwent serial TTE assessments at a median of 109 (interquartile range (IQR), 77–177) and 327 (276–379) days after infection. Compared with those of non-COVID-19-infected controls (n = 94, male n = 49), baseline systolic (LVEF, TAPSE) and diastolic function (eʹ, aʹ, E/eʹ) were significantly different in infected participants (p < 0.05 for all). Compared with baseline assessments, there was a reduction in global longitudinal strain (GLS) and an increase in the E wave, E/A ratio and E/eʹ at follow-up. At baseline, symptomatic participants had a lower LVEF and TAPSE and increased IVRT, eʹ and E/eʹ. At follow-up, symptomatic patients had a lower LV end-diastolic diameter (LVEDd). Symptoms were independently associated with E/eʹ at baseline (OR (95% CI) 1.45 (1.12–1.87), p = 0.005). Symptoms at follow-up were associated with LVEDd, measured either at baseline (OR: 0.91 (0.86, 0.96), p < 0.001) or follow-up (OR (95% CI) 0.91 (0.86–0.96), p < 0.001). There were significant associations for GLS and troponin and E/eʹ with CRP and NTproBNP at baseline. In the present cohort of COVID-19-infected individuals with mild initial illness, echocardiographic measurements revealed significant yet subclinical differences in systolic and diastolic function compared with controls, as well as between individuals with cardiac symptoms and those without. All the measured differences were small in magnitude and thus unlikely to be detectable clinically at the individual level.
Exploring the role of circulating proteins in multiple myeloma risk: a Mendelian randomization study
Authors: Lee Matthew A. , Burley Kate L. , Hazelwood Emma L. , Moore Sally , Lewis Sarah J. , Goudswaard Lucy J. 
Published: January 2025

Abstract
Multiple myeloma (MM) is an incurable blood cancer with unclear aetiology. Proteomics is a valuable tool in exploring mechanisms of disease. We investigated the causal relationship between circulating proteins and MM risk, using two of the largest cohorts with proteomics data to-date. We performed bidirectional two-sample Mendelian randomization (MR; forward MR = causal effect estimation of proteins and MM risk; reverse MR = causal effect estimation of MM risk and proteins). Summary statistics for plasma proteins were obtained from genome-wide association studies performed using SomaLogic (N = 35,559; deCODE) and Olink (N = 34,557; UK Biobank; UKB) proteomic platforms and for MM risk from a meta-analysis of UKB and FinnGen (case = 1649; control = 727,247) or FinnGen only (case = 1085; control = 271,463). Cis-SNPs associated with protein levels were used to instrument circulating proteins. We evaluated proteins for the consistency of directions of effect across MR analyses (with 95% confidence intervals not overlapping the null) and corroborating evidence from genetic colocalization. In the forward MR, 994 (SomaLogic) and 1570 (Olink) proteins were instrumentable. 440 proteins were analysed in both deCODE and UKB; 302 (69%) of these showed consistent directions of effect in the forward MR. Seven proteins had 95% confidence intervals (CIs) that did not overlap the null in both forward MR analyses and did not have evidence for an effect in the reverse direction: higher levels of dermatopontin (DPT), beta-crystallin B1 (CRYBB1), interleukin-18-binding protein (IL18BP) and vascular endothelial growth factor receptor 2 (KDR) and lower levels of odorant-binding protein 2b (OBP2B), glutamate-cysteine ligase regulatory subunit (GCLM) and gamma-crystallin D (CRYGD) were implicated in increasing MM risk. Evidence from genetic colocalization did not meet our threshold for a shared causal signal between any of these proteins and MM risk (h4 < 0.8). Our results highlight seven circulating proteins which may be involved in MM risk. Although evidence from genetic colocalization suggests these associations may not be robust to the effects of horizontal pleiotropy, these proteins may be useful markers of MM risk. Future work should explore the utility of these proteins in disease prediction or prevention using proteomic data from patients with MM or precursor conditions.
Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction
Authors: Koziel Slawomir , Pietrenko-Dabrowska Anna 
Published: January 2025

Abstract
Computational tools, particularly electromagnetic (EM) solvers, are now commonplace in antenna design. While ensuring reliability, EM simulations are time-consuming, leading to high costs associated with EM-driven procedures like parametric optimization or statistical design. Various techniques have been developed to address this issue, with surrogate modeling methods garnering particular attention due to their potential advantages. One key benefit is the promise of unprecedented acceleration in handling design problems that require repetitive system evaluations. However, behavioral modeling of antennas is an intrinsic endeavor. Challenges include the curse of dimensionality and the high nonlinearity of antenna characteristics. Moreover, design utility necessitates that the models are defined across wide ranges of frequency, geometry dimensions, and material parameters, posing a significant bottleneck for existing modeling frameworks. This paper introduces an innovative approach to constructing design-ready behavioral surrogates for antenna structures. Our methodology involves a rapid global sensitivity analysis (GSA) algorithm developed to determine a set of parameter space directions that maximize antenna response variability. The latter are obtained from spectral analysis of the GSA-based sensitivity indicators, and employed to define a reduced-dimensionality domain of the metamodel. The dependability of the model constructed in such a domain is superior over conventional surrogates while being suitable for design purposes. These benefits have been conclusively showcased using several microstrip antennas and illustrated by a number of design scenarios involving antenna geometry optimization for a variety of performance specifications.
A detailed investigation on the mechanical properties and sensitisation resistance of cyclic strengthened AA5083 alloy
Authors: Zhang Kai , Xia Xiaojian , Meng Ya , Zeng Guang , Zhang Ruifeng 
Published: January 2025

AbstractA new Cyclic strengthening (CS) method was applied to the AA5083 alloy. The influence of this new method on mechanical properties and sensitisation were both studied. The CS treatment significantly increases the strength by inducing dislocations and Mg clusters. These clusters then weaken the grain boundary β‐phase precipitation during sensitisation, thus enhancing the corrosion resistance. A further inspection on the post corrosion morphology of the sensitised cyclic strengthened AA5083 was conducted by scanning microscopy and synchrotron X‐ray tomography, suggesting that the corrosion behaviour of cyclic strengthened AA5083 has no significant difference with the water quenched AA5083.
A review of the effect of common fault current limiters (FCLs) on power systems reliability
Authors: Esmaeili Zahra , Heydari Hossein 
Published: January 2025

AbstractShort‐circuit (SC) current poses a significant threat to power system stability. A fault current limiter (FCL) serves as an effective tool for restricting fault currents. This review article aims to explore the impact of FCLs on power system reliability. To achieve this, it examines existing studies on the influence of FCLs on the reliability of various systems, including substations and distribution networks. It highlights research gaps and challenges within this domain. Based on the identified gaps, it offers recommendations for future research to scholars. This review article provides a solid foundation for researchers engaged in the FCL domain and the reliability of power systems.
Adaptive power management for multiaccess edge computing‐based 6G‐inspired massive Internet of Things
Authors: Awoyemi Babatunde S. , Maharaj Bodhaswar T. 
Published: January 2025

AbstractMultiaccess edge computing (MEC) is a dynamic approach for addressing the capacity and ultra‐latency demands caused by the pervasive growth of real‐time applications in next‐generation (xG) wireless communication networks. Powerful computational resource‐enriched virtual machines (VMs) are used in MEC to provide outstanding solutions. However, a major challenge with using VMs in xG networks is the high overhead caused by the excessive energy demands of VMs. To address this challenge, containers, which are generally more energy‐efficient and less computationally demanding, are being advocated. This paper proposes a containerised edge computing model for power optimisation in 6G‐inspired massive Internet‐of‐Things applications. The problem is formulated as a central processing unit energy consumption cost function based on quasi‐finite system observations. To achieve practicable computational complexity, an approach that uses a search heuristic based on Lyapunov techniques is employed to obtain near‐optimal solutions. Important performance metrics are successfully predicted using the online look‐ahead technique. The predictive model used achieves an accuracy of 97% prediction compared to actual data. To further improve resource demand, an adaptive controller is used to schedule computational resources on a time slot basis in an adaptive manner while continuing to receive workload levels to plan future resource provisioning. The proposed technique is shown to perform better compared to a competitive baseline algorithm.
Simulating realistic self-interacting dark matter models including small and large-angle scattering
Authors: Arido Cenanda , Fischer Moritz S. , Garny Mathias 
Published: January 2025

Context. Dark matter (DM) self-interactions alter matter distribution on galactic scales and alleviate tensions with observations. A feature of the self-interaction cross section is its angular dependence, which influences offsets between galaxies and DM halos in merging galaxy clusters. While algorithms for modelling mostly forward-dominated or mostly large-angle scatterings exist, incorporating realistic angular dependencies within N-body simulations remains challenging.
Aims. To efficiently simulate models with a realistic angle dependence, such as light mediator models, we developed, validated, and applied a novel method.
Methods. We combined existing approaches to describe small- and large-angle scattering regimes within a hybrid scheme. Below a critical angle, the scheme uses the effective description of small-angle scattering via a drag force combined with transverse momentum diffusion, while above the angle, it samples the dependence explicitly.
Results. We first verified the scheme using a test set-up with known analytical solutions, and we checked that our results are insensitive to the choice of the critical angle within an expected range. Next, we demonstrated that our scheme speeds up the computations by multiple orders of magnitude for realistic light mediator models. Finally, we applied the method to galaxy cluster mergers. We discuss the sensitivity of the offset between galaxies and DM to the angle dependence of the cross section. Our scheme ensures accurate offsets for mediator mass mϕ and DM mass mχ within the range 0.1v/c ≲ mϕ/mχ ≲ v/c, while for larger (smaller) mass ratios, the offsets obtained for isotropic (forward-dominated) self-scattering are approached. Here, v is the typical velocity scale. Equivalently, the upper condition can be expressed as $ 1.1\lesssim \sigma_{\mathrm{tot}}/\sigma_{\mathrm{\widetilde{T}}}\lesssim 10 $ for the ratio of the total and momentum transfer cross sections, with the ratio being 1 (∞) in the isotropic (forward-dominated) limits.
Osteosarcoma in Children Younger than 5 Years of Age: A Single-Center Case Series from India Depicting Their Clinical Features and Outcomes with Review of Literature
Authors: Parambil Badira Cheriyalinkal , Puri Ajay , Gulia Ashish , Prasad Maya , Gollamudi Venkata Rama Mohan , Ramadwar Mukta , Rekhi Bharat , Janu Amit , Purandare Nilendu , Chinnaswamy Girish 
Published: January 2025

Abstract
Background Osteosarcoma in children £5 years old is extremely rare. There is very limited information available on this subset, especially from India.
Methods We retrospectively analyzed the clinical presentation and outcomes in children £5 years old with osteosarcoma diagnosed between January 2013 and December 2022. Staging was performed by non-contrast computerized tomography of thorax and bone scans. Treatment included OGS-2012 chemotherapy protocol with local control by surgery at 12 weeks.
Results Eleven of 588 children were £5 years (1.9%). The majority had lower limb tumors (81.8%) with metastases in 45%. Nine patients (localized-6, metastatic-3) received treatment. Six patients with localized disease completed treatment with limb-salvage surgery, of whom two had a metastatic relapse and one died due to an unknown cause. Of three metastatic patients, two progressed and one died (due to dengue) while on neoadjuvant chemotherapy. Eight episodes of febrile neutropenia and five episodes of mucositis were documented in treated patients.
Conclusion Osteosarcoma in children £5 years of age is extremely rare with predominant lower limb tumors and relatively inferior outcomes in treated patients.
Is the Pressure from Blue Dye Cervical Injection Associated with Sentinel Lymph Node Detection in Laparoscopic Surgery for Endometrial Cancer?
Authors: Simonsen Marcelo , Amaral Marina Bandeira de Mello , Tayfour Najla Mohamed , Mayerhoff Eric Vieira Luna , Andrade Igor Marcondes de , Moreira Silva Lais , Antonini Marcelo , Teixeira Andressa Melina Severino 
Published: January 2025

Abstract
Introduction Sentinel lymph node biopsy (SLNB) has been proven to be a safe procedure in the treatment of endometrial cancer, and the instillment of a dye/marker in the cervix is the most used technique. Various studies have correlated the body mass index (BMI) impact as well as menopausal status and staging with the rate of lymph node detection, but few studies have evaluated if the high density of the cervix decreases detection.
Objective To quantify the injection pressure of the marker in the uterine cervix and to correlate it with the sentinel lymph node detection rate in endometrial neoplasia.
Materials and Methods Patients with endometrial cancer with programmed laparoscopic SLNB were selected to have the cervical injection pressure assessed. Immediately following the extraction of the uterus, saline solution was reapplied to measure injection pressure with a device attached to the syringe. We investigated the possible correlation of injection pressure with lymph node detection rate and the clinical data of the patients.
Results A total of 18 women participated in the study; a correlation between injection pressure and lymph node detection rate was not identified, neither was greater injection pressure detected in smaller uteruses or cervices. The pressure of the deep injection is greater than that of the superficial one, but the more medial application, or more lateral in relation to the midpoint, does not alter the injection pressure.
Conclusion The presence of greater resistance in the instillment of stain into the cervix was not associated with a lower lymph node detection rate.
Development of a novel high-frequency reciprocal structure fiber optical pulsed current sensor
Authors: Mao Zhiling , Lan Tao , Bai Zeqi , Zhang Han , Wang Ke , Ding Weixing , Wu Jie , Dong Qilong , Zhou Yongkang , Mao Wenzhe , Wu Zhengwei , Wu Jiaren , Zu Yiming , Deng Peng , Lu Pengcheng , Wei Zian , Wen Xiaohui , Wang Hai , Zhou Chu , Liu Ahdi , Xie Jinlin , Li Hong , Liu Wandong , Xiao Chijin , Zhuang Ge 
Published: January 2025

A novel all-fiber optic current sensor (FOCS) is designed specifically for the measurement of large transient currents based on the Faraday effect. A reciprocal symmetric structure is incorporated into the optical sensing loop, and the current dependent phase demodulation is achieved by using a passive optical fiber coupler and the homodyne detection scheme. This design offers several advantages, including structural simplicity, high voltage insulation, low noise, high linearity, and excellent frequency response, and is highly suitable for use in any system of high-voltage, high-power, and high-frequency in nature. A current source based on fast capacitor discharge is used for the bench-test of the FOCS system, and several laser sources with different wavelengths and linewidths have been used to test the FOCS performance. Experimental results show that the phase noise of the laser is independent of both wavelength and linewidth. The sensitivity of the FOCS system has been calibrated against a commercial Rogowski current sensor. This FOCS offers precise and flexible high-current pulse measurements with a measured phase noise of 1.4 × 10−3 rad, using a 1550 nm laser with a 1 kHz linewidth. The fully reciprocal sensing loop ensures that the phase noise remains unchanged as the loop length increases. These features make the FOCS a robust and adaptable tool for high-precision current sensing in challenging environments. Finally, the FOCS system has consistently demonstrated its superior and stable performance in terms of high-frequency response and low noise with minimal dependence on the laser parameters.