bluuebunny/crossref_metadata_2025_split huggingface dataset:
In vivo glycation—interplay between oxidant and carbonyl stress in bone
Authors: Sroga Grażyna E , Vashishth Deepak 
Published: August 2024

Abstract
Metabolic syndromes (eg, obesity, type 2 diabetes (T2D), atherosclerosis, and neurodegenerative diseases) and aging, they all have a strong component of carbonyl and reductive-oxidative (redox) stress. Reactive carbonyl (RCS) and oxidant (ROS) stress species are commonly generated as products or byproducts of cellular metabolism or are derived from the environment. RCS and ROS can play a dual role in living organisms. Some RCS and ROS function as signaling molecules, which control cellular defenses against biological and environmental assaults. However, due to their high reactivity, RCS and ROS inadvertently interact with different cellular and extracellular components, which can lead to the formation of undesired posttranslational modifications of bone matrix proteins. These are advanced glycation (AGEs) and glycoxidation (AGOEs) end products generated in vivo by non-enzymatic amino-carbonyl reactions. In this review, metabolic processes involved in generation of AGEs and AGOEs within and on protein surfaces including extracellular bone matrix are discussed from the perspective of cellular metabolism and biochemistry of certain metabolic syndromes. The impact of AGEs and AGOEs on some characteristics of mineral is also discussed. Different therapeutic approaches with the potential to prevent the formation of RCS, ROS, and the resulting formation of AGEs and AGOEs driven by these chemicals are also briefly reviewed. These are antioxidants, scavenging agents of reactive species, and newly emerging technologies for the development of synthetic detoxifying systems. Further research in the area of in vivo glycation and glycoxidation should lead to the development of diverse new strategies for halting the progression of metabolic complications before irreversible damage to body tissues materializes.
Optimizing microseismic monitoring: a fusion of Gaussian–Cauchy and adaptive weight strategies
Authors: Zhu Wei , Li Zhihui , Su Hang , Liu Lei , Heidari Ali Asghar , Chen Huiling , Liang Guoxi 
Published: August 2024

Abstract
In mining mineral resources, it is vital to monitor the stability of the rock body in real time, reasonably regulate the area of ground pressure concentration, and guarantee the safety of personnel and equipment. The microseismic signals generated by monitoring the rupture of the rock body can effectively predict the rock body disaster, but the current microseismic monitoring technology is not ideal. In order to address the issue of microseismic monitoring in deep wells, this research suggests a machine learning-based model for predicting microseismic phenomena. First, this work presents the random spare, double adaptive weight, and Gaussian–Cauchy fusion strategies as additions to the multi-verse optimizer (MVO) and suggests an enhanced MVO algorithm (RDGMVO). Subsequently, the RDGMVO-Fuzzy K-Nearest Neighbours (RDGMVO-FKNN) microseismic prediction model is presented by combining it with the FKNN classifier. The experimental section compares 12 traditional and recently enhanced algorithms with RDGMVO, demonstrating the latter’s excellent benchmark optimization performance and remarkable improvement effect. Next, the FKNN comparison experiment, the classical classifier experiment, and the microseismic dataset feature selection experiment confirm the precision and stability of the RDGMVO-FKNN model for the microseismic prediction problem. According to the results, the RDGMVO-FKNN model has an accuracy above 89%, indicating that it is a reliable and accurate method for classifying and predicting microseismic occurrences. Code has been available at https://github.com/GuaipiXiao/RDGMVO.
‘Woman-Owned Business’ Labels Enhance Perceived Competence
Authors: Davis Nicole , Kim Tami 
Published: August 2024

Abstract
Gender bias is widely recognized as having negative effects on women in business, including on outcomes such as hiring, promotion, pay, and access to venture capital funding. This study identifies a strategy that women business owners can employ to boost business outcomes. Across five preregistered studies (N = 2585), including a field study, affixing the owner attribute label “woman-owned business” can engender positive business outcomes, including perceptions of business competence and service quality (studies 1 and 2). These effects are driven by an increase in perceptions of the business owner’s agency (study 3). Affixing a gender-based owner attribute label is especially effective in situations that lack other credible cues of competence (study 4) and in industries that are perceived as difficult to succeed in (study 5). The present work advances our understanding of stereotypes, discrimination, and identity in the consumer marketplace, and it offers practical implications for business owners in traditionally marginalized groups who face—and must combat—stereotypes.
Neutral genetic structuring of pathogen populations during rapid adaptation
Authors: Saubin Méline , Stoeckel Solenn , Tellier Aurélien , Halkett Fabien 
Published: August 2024

Abstract
Pathogen species are experiencing strong joint demographic and selective events, especially when they adapt to a new host, for example through overcoming plant resistance. Stochasticity in the founding event and the associated demographic variations hinder our understanding of the expected evolutionary trajectories and the genetic structure emerging at both neutral and selected loci. What would be the typical genetic signatures of such a rapid adaptation event is not elucidated. Here, we build a demogenetic model to monitor pathogen population dynamics and genetic evolution on two host compartments (susceptible and resistant). We design our model to fit two plant pathogen life cycles, “with” and “without” host alternation. Our aim is to draw a typology of eco-evolutionary dynamics. Using time-series clustering, we identify three main scenarios: 1) small variations in the pathogen population size and small changes in genetic structure, 2) a strong founder event on the resistant host that in turn leads to the emergence of genetic structure on the susceptible host, and 3) evolutionary rescue that results in a strong founder event on the resistant host, preceded by a bottleneck on the susceptible host. We pinpoint differences between life cycles with notably more evolutionary rescue “with” host alternation. Beyond the selective event itself, the demographic trajectory imposes specific changes in the genetic structure of the pathogen population. Most of these genetic changes are transient, with a signature of resistance overcoming that vanishes within a few years only. Considering time-series is therefore of utmost importance to accurately decipher pathogen evolution.
Adverse social determinants of health elevate uncontrolled hypertension risk: a cardio-oncology prospective cohort study
Authors: Nain Priyanshu , Stabellini Nickolas , Makram Omar M , Rast Johnathan , Yerraguntla Sandeep , Gopu Gaurav , Bhave Aditya , Seth Lakshya , Patel Vraj , Jiang Stephanie , Malik Sarah , Shetewi Ahmed , Montero Alberto J , Cullen Jennifer , Agarwal Neeraj , Wang Xiaoling , Ky Bonnie , Baldassarre Lauren A , Weintraub Neal L , Harris Ryan A , Guha Avirup 
Published: August 2024

Abstract
The role of social determinants of health (SDOH) in controlling hypertension (HTN) in cancer patients is unknown. We hypothesize that high SDOH scores correlate with uncontrolled HTN in hypertensive cancer patients. In our prospective study, patients completed the Protocol for Responding to & Assessing Patients’ Assets, Risks & Experiences questionnaire. After integrating home and clinic blood pressure readings, uncontrolled HTN was defined as systolic blood pressure greater than or equal to 140 mm Hg and/or diastolic blood pressure greater than or equal to 90 mm Hg. Using Cox regression, we analyzed the impact of SDOH on HTN control, adjusting for relevant factors. The study involved 318 participants (median age 66.4, median follow-up 166 days, SDOH score 6.5 ± 3.2), with stress, educational insecurity, and social isolation as prevalent adverse SDOH. High SDOH scores led to 77% increased risk of uncontrolled HTN (adjusted hazards ratio = 1.77; 95% confidence interval = 1.10 to 2.83, P = .018). Urban residents with high SDOH scores were at an even greater risk. Identifying SDOH and mitigating underlying factors may help control HTN, the most typical disease process treated in all cardio-oncology clinics.
A Guide to General Principles of Law in International Investment Arbitration
Authors: Dumberry Patrick 
Published: August 2024

Abstract
In recent years there has been a noticeable increase in references by investor–State arbitral tribunals to general principles of law as a source of law, however these references have rarely been accompanied by detailed explanation. This book aims to provide the actors involved in investor–State arbitration with a set of comprehensive guidelines to better understand the nature, meaning, and function of general principles of law in the field of international investment law. Applying these principles to practice, the book assesses seventeen concepts and notions in the field of investment arbitration to provide counsel and arbitrators with clear guidance on what should (and should not) be considered a general principle of law.
Introduction
Authors: Dumberry Patrick 
Published: August 2024

Abstract
This introductory chapter provides an overview of the general principles of law (GPL) in international investment arbitration. Until very recently, scholars had a limited interest with regard to the question of GPL in international investment law. The GPL are important in today's investment arbitration: these rules represent the applicable legal regime of protection in the absence of any bilateral investment treaty (BIT). GPL also continue to play an important role in general international law. This book thus aims to provide the different actors involved in investor–State arbitration as well as other stakeholders with sets of comprehensive guidelines to better understand the nature, the meaning, and the function of GPL in the field of international investment law.
Zero-g wind tunnel experiments on planetesimal erosion
Authors: Schönau Laurent , Teiser Jens , Wurm Gerhard 
Published: August 2024

ABSTRACT
Wind erosion thresholds for planetesimals in protoplanetary discs depend on particle size, cohesion, ambient gas pressure, and gravity. In the experiments reported here, we used a low pressure shear wind tunnel for the first time under real zero gravity. That is, we carried out the experiments in the drop tower in Bremen at $10^{-5} \text{g}$. In concert with earlier work, we confirm the applicability of a single semi-empirical equation to describe the threshold shear stress for wind erosion. It can be applied to calculations of unstable orbits of planetesimals and the dissolution of planetesimals passing through evolving planetary atmospheres.
The detection and characterization of highly magnified stars with JWST: prospects of finding Population III
Authors: Zackrisson Erik , Hultquist Adam , Kordt Aron , Diego Jose M , Nabizadeh Armin , Vikaeus Anton , Meena Ashish Kumar , Zitrin Adi , Volpato Guglielmo , Lundqvist Emma , Welch Brian , Costa Guglielmo , Windhorst Rogier A 
Published: August 2024

ABSTRACT
Gravitational lensing may render individual high-mass stars detectable out to cosmological distances, and several extremely magnified stars have in recent years been detected out to redshifts $z\approx 6$. Here, we present Muspelheim, a model for the evolving spectral energy distributions of both metal-enriched and metal-free stars at high redshifts. Using this model, we argue that lensed stars will form a highly biased sample of the intrinsic distribution of stars across the Hertzsprung–Russell diagram, and that this bias will typically tend to favour the detection of lensed stars in evolved stages characterized by low effective temperatures, even though stars only spend a minor fraction of their lifetimes in such states. We also explore the prospects of detecting individual, lensed metal-free (Population III) stars at high redshifts using the James Webb Space Telescope (JWST). We find that very massive ($\gtrsim 100\ \mathrm{M}_\odot$) Population III stars at $z\gtrsim 6$ may potentially be detected by JWST in surveys covering large numbers of strong-lensing clusters, provided that the Population III stellar initial mass function is sufficiently top-heavy, that these stars evolve to effective temperatures $\le 15000$ K, and that the cosmic star formation rate density of Pop III stars reaches $\gtrsim 10^{-4}\ \mathrm{M}_\odot$ cMpc$^{-3}$ yr$^{-1}$ at $z\approx 6$–10. Various ways to distinguish metal-free lensed stars from metal-enriched ones are also discussed.
Testing the transferability of machine learning techniques for determining photometric redshifts of galaxy catalogue populations
Authors: Janiurek Lara , Hendry Martin A , Speirits Fiona C 
Published: August 2024

ABSTRACT
In this work, the random forest algorithm galpro is implemented to generate photometric redshift posteriors, and its performance when trained and then applied to data from another survey is investigated. The algorithm is initially calibrated using a truth data set compiled from the Dark Energy Spectroscopic Instrument (DESI) Legacy survey. We find that the testing and training data sets must have very similar redshift distributions, with the range of their photometric data overlapping by at least 90 per cent in the appropriate photometric bands in order for the training data to be applicable to the testing data. galpro is again trained using the DESI data set and then applied to a sample drawn from the Panoramic Survey Telescope and Rapid Response System survey, to explore whether galpro can be trained using a trusted data set and applied to an entirely new survey, albeit one that uses a different magnitude system for its photometric bands, thus requiring careful conversion of the measured magnitudes. The results of this further test indicate that galpro does not produce accurate photometric redshift posteriors for the new survey, even where the distribution of redshifts for the two data sets overlaps by over 90 per cent. We conclude that the photometric redshifts generated by galpro are not suitable for generating estimates of photometric redshifts and their posterior distribution functions when applied to an entirely new survey, particularly one that uses a different magnitude system. However, our results demonstrate that galpro is a useful tool for inferring photometric redshift estimates in the case where a spectroscopic galaxy survey is nearly complete, but missing some spectroscopic redshift values.
OGLE-2015-BLG-0845L: a low-mass M dwarf from the microlensing parallax and xallarap effects
Authors: Hu Zhecheng , Zhu Wei , Gould Andrew , Udalski Andrzej , Sumi Takahiro , Chen Ping , Calchi Novati Sebastiano , Yee Jennifer C , Beichman Charles A , Bryden Geoffery , Carey Sean , Fausnaugh Michael , Gaudi B Scott , Henderson Calen B , Shvartzvald Yossi , Wibking Benjamin , Mróz Przemek , Skowron Jan , Poleski Radosław , Szymański Michał K , Soszyński Igor , Pietrukowicz Paweł , Kozłowski Szymon , Ulaczyk Krzysztof , Rybicki Krzysztof A , Iwanek Patryk , Wrona Marcin , Gromadzki Mariusz , Abe Fumio , Barry Richard , Bennett David P , Bhattacharya Aparna , Bond Ian A , Fujii Hirosane , Fukui Akihiko , Hamada Ryusei , Hirao Yuki , Silva Stela Ishitani , Itow Yoshitaka , Kirikawa Rintaro , Koshimoto Naoki , Matsubara Yutaka , Miyazaki Shota , Muraki Yasushi , Olmschenk Greg , Ranc Clément , Rattenbury Nicholas J , Satoh Yuki , Suzuki Daisuke , Tomoyoshi Mio , Tristram Paul J , Vandorou Aikaterini , Yama Hibiki , Yamashita Kansuke 
Published: August 2024

ABSTRACT
We present the analysis of the microlensing event OGLE-2015-BLG-0845, which was affected by both the microlensing parallax and xallarap effects. The former was detected via the simultaneous observations from the ground and Spitzer, and the latter was caused by the orbital motion of the source star in a relatively close binary. The combination of these two effects led to a mass measurement of the lens object, revealing a low-mass ($0.14 \pm 0.05 \, \mathrm{ M}_{\odot }$) M dwarf at the bulge distance ($7.6 \pm 1.0$ kpc). The source binary consists of a late F-type subgiant and a K-type dwarf of $\sim 1.2$ and $\sim 0.9 \mathrm{ M}_{\odot }$, respectively, and the orbital period is $70 \pm 10$ d. OGLE-2015-BLG-0845 is the first single-lens event in which the lens mass is measured via the binarity of the source. Given the abundance of binary systems as potential microlensing sources, the xallarap effect may not be a rare phenomenon. Our work thus highlights the application of the xallarap effect in the mass determination of microlenses, and the same method can be used to identify isolated dark lenses.
Building spectral templates and reconstructing parameters for core-collapse supernovae with CASTOR
Authors: Simongini Andrea , Ragosta F , Piranomonte S , Di Palma I 
Published: August 2024

ABSTRACT
The future of time-domain optical astronomy relies on the development of techniques and software capable of handling a rising amount of data and gradually complementing, or replacing if necessary, real observations. Next-generation surveys, like the Large Synoptic Survey Telescope, will open the door to the new era of optical astrophysics, creating, at the same time, a deficiency in spectroscopic data necessary to confirm the nature of each event and to fully recover the parametric space. In this framework, we developed Core collApse Supernovae parameTers estimatOR (CASTOR), a novel software for data analysis. CASTOR combines Gaussian process and other machine-learning techniques to build time-series templates of synthetic spectra and to estimate parameters of core-collapse supernovae (CCSNe) for which only multiband photometry is available. Techniques to build templates are fully data driven and non-parametric through empirical and robust models, and rely on the direct comparison with a training set of 111 CCSNe from the literature. Furthermore, CASTOR employees the real photometric data and the reconstructed synthetic spectra of an event to estimate parameters that belong to the supernova ejecta, to the stellar progenitor and to the event itself, in a rapid and user-friendly framework. In this work, we provide a demonstration of how CASTOR works, studying available data from SN 2015ap and comparing our results with those available in literature.
Reconstructions of Jupiter’s magnetic field using physics-informed neural networks
Authors: Livermore Philip W , Wu Leyuan , Chen Longwei , de Ridder Sjoerd 
Published: August 2024

ABSTRACT
Magnetic sounding using data collected from the Juno mission can be used to provide constraints on Jupiter’s interior. However, inwards continuation of reconstructions assuming zero electrical conductivity and a representation in spherical harmonics are limited by the enhancement of noise at small scales. Here we describe new time-independent reconstructions of Jupiter’s internal magnetic field based on physics-informed neural networks and either the first 33 (PINN33) or the first 50 (PINN50) of Juno’s orbits. The method can resolve local structures, and allows for weak ambient electrical currents. Our models are not hampered by noise amplification at depth, and provide a smooth picture of the interior structure without explicit regularization. We estimate that the dynamo boundary is at a fractional radius of 0.8. At this depth, the magnetic field is arranged into longitudinal bands, and strong local features such as the great blue spot appear to be rooted in neighbouring structures of oppositely signed flux.
Clinicopathological and immune characterization of mismatch repair deficient endocervical adenocarcinoma
Authors: Wu Ying-Wen , Wei Li-Jun , Yang Xia , Liang Hao-Yu , Cai Mu-Yan , Luo Rong-Zhen , Liu Li-Li 
Published: August 2024

Abstract
Endocervical adenocarcinoma (ECA) is reported increasingly often in young women, and this aggressive disease lacks effective methods of targeted therapy. Since mismatch repair deficiency (dMMR) is an important biomarker for predicting response to immune checkpoint inhibitors, it is important to investigate the clinicopathological features and immune microenvironment of dMMR ECAs. We assessed 617 ECAs from representative tissue microarray sections, gathered clinicopathologic information, reviewed histological characteristics, and performed immunohistochemical staining for MMR, programmed cell death 1 (PD-L1), and other immune markers. Of 617 ECA samples, 20 (3.2%) cases had dMMR. Among them, loss of MMR-related proteins expression was observed in 17/562 (3.0%) human papilloma virus-associated (HPVA) adenocarcinoma and 3/55 (5.5%) non-HPV-associated (NHPVA) adenocarcinoma. In NHPVA cohort, dMMR status was observed in 3 (3/14, 15.0%) patients with clear cells. dMMR ECAs had a higher tendency to have a family history of cancer, larger tumor size, p16 negative, HPV E6/E7 mRNA in situ hybridization (HPV E6/E7 RNAscope) negative, and lower ki-67 index. Among the morphological variables evaluated, poor differentiation, necrosis, stromal tumor-infiltrating lymphocytes, peritumoral lymphocytes, and lymphoid follicles were easily recognized in the dMMR ECAs. In addition, dMMR ECAs had higher CD3+, CD8+, CD38+, CD68+ and PD-1+ immune cells. A relatively high prevalence of PD-L1 expression was observed in dMMR ECAs. dMMR ECAs were significantly more likely to present with a tumor-infiltrating lymphocytes -high/PD-L1-positive status. In conclusion, dMMR ECAs have some specific morphological features and a critical impact on the immune microenvironment, which may provide insights into improving responses to immunotherapy-included comprehensive treatment for ECAs in the future.
Phytochrome C and Low Temperature Promote the Protein Accumulation and Red-Light Signaling of Phytochrome D
Authors: Péter Csaba , Ádám Éva , Klose Cornelia , Grézal Gábor , Hajdu Anita , Steinbach Gábor , Kozma-Bognár László , Silhavy Dániel , Nagy Ferenc , Viczián András 
Published: August 2024

Abstract
Light affects almost every aspect of plant development. It is perceived by photoreceptors, among which phytochromes (PHY) are responsible for monitoring the red and far-red spectrum. Arabidopsis thaliana possesses five phytochrome genes (phyA–phyE). Whereas functions of phyA and phyB are extensively studied, our knowledge of other phytochromes is still rudimentary. To analyze phyD function, we expressed it at high levels in different phytochrome-deficient genetic backgrounds. Overexpressed phyD-YFP can govern effective light signaling but only at low temperatures and in cooperation with functional phyC. Under these conditions, phyD-YFP accumulates to high levels, and opposite to phyB, this pool is stable in light. By comparing the photoconvertible phyD-YFP and phyB levels and their signaling in continuous and pulsed irradiation, we showed that phyD-YFP is a less efficient photoreceptor than phyB. This conclusion is supported by the facts that only a part of the phyD-YFP pool is photoconvertible and that thermal reversion of phyD-YFP is faster than that of phyB. Our data suggest that the temperature-dependent function of phyD is based on the amount of phyD protein and not on its Pfr stability, as described for phyB. We also found that phyD-YFP and phyB-GFP are associated with strongly overlapping genomic locations and are able to mediate similar changes in gene expression; however, the efficiency of phyD-YFP is lower. Based on these data, we propose that under certain conditions, synergistic interaction of phyD and phyC can substitute phyB function in seedlings and in adult plants and thus increases the ability of plants to respond more flexibly to environmental changes.