bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual functions of silibinin in attenuating aortic dissection via regulating iron homeostasis and endoplasmic reticulum stress against ferroptosis
Authors: Qi Zhen , Wang Qiu-Guo , Huang Meng-Xi , Zeng Yi-Fan , Li Jing-Yu , Duan Zhi-Cheng , Tan Ling , Tang Hao 
Published: December 2024

AbstractAortic dissection (AD) poses a significant threat to cardiovascular health globally, yet its underlying mechanisms remain elusive. Smooth muscle cells death and phenotypic switching are critically important pathological processes in AD. Currently, no pharmacological therapies have proven effective in managing AD. This study aims to elucidate the involvement of ferroptosis in AD progression and explore ferroptosis inhibition as a potential therapeutic approach for AD management. Elevated expression of ferroptosis markers (HMOX1, ACSL4, and 4-HNE) was observed in AD patients and β-Aminopropionitrile (BAPN)-induced mice. In vivo administration of silibinin (SIL) attenuated aortic dilation, inflammation, mitochondrial injury, and ferroptosis. SIL treatment enhanced cell viability and mitochondrial function while reducing reactive oxygen species (ROS) generation and mitigating ferroptosis in primary human aortic smooth muscle cells (HASMCs) induced by RSL3 or IKE. Mechanistically, RNA-sequencing analysis identified dysregulation of iron homeostasis and endoplasmic reticulum stress, which were modulated by SIL. Molecular docking, cellular thermal shift assay, drug affinity responsive target stability, and surface plasmon resonance analysis confirmed HMOX1 as a direct target of SIL, highlighting its role in modulating iron homeostasis. Moreover, NCT-502, a PHGDH inhibitor, reversed the protective effect of SIL in RSL3-induced HASMCs. Conversely, 4-PBA and ZnPP demonstrate a facilitative role. This suggests that SIL plays a crucial role in ferroptosis development by modulating iron homeostasis and endoplasmic reticulum stress-mediated serine biosynthesis, both in vitro and in vivo. Iron homeostasis and endoplasmic reticulum stress of HASMCs drive the development of aortic dissection. These findings unveil a novel role of SIL in mitigating ferroptosis in HASMCs, offering a promising therapeutic avenue for treating AD.
A dataset of geotechnical parameters based on international literature to characterise lithotypes in Italy
Authors: Monte Nunzia , Bucci Francesco , Mevoli Federica Angela , Santangelo Michele , Reichenbach Paola , Di Matteo Lucio , Marchesini Ivan 
Published: December 2024

AbstractGeological and lithological maps provide essential spatial data for various environmental assessments and studies. However, these maps lack detailed quantitative information on the geotechnical characteristics of rocks and soils, which limits their use for modelling purposes. This study addresses this gap by compiling a comprehensive database of over 2300 geotechnical parameter records searching the international literature. Focusing on cohesion, friction angle, and porosity, we analyse their distributions across different lithotypes, emphasising their significance in slope stability modelling. For the Italian territory, the collected information was used to associate geotechnical parameters to the lithological classes as identified by Bucci et al. 2022. These types of reclassified maps may provide researchers and stakeholders with a comprehensive dataset useful for slope stability assessment and land management at small scale. Descriptive statistics and validation from grey literature underscore the dataset’s utility in enhancing geotechnical characterizations and supporting geological hazard assessments.
Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020
Authors: Qin Xingli , Wu Bingfang , Zeng Hongwei , Zhang Miao , Tian Fuyou 
Published: December 2024

AbstractThe global gridded crop production dataset at 10 km resolution from 2010 to 2020 (GGCP10) for maize, wheat, rice, and soybean was developed to address limitations of existing datasets characterized by coarse resolution and discontinuous time spans. GGCP10 was generated using a series of adaptively trained data-driven crop production spatial estimation models integrating multiple data sources, including statistical data, gridded production data, agroclimatic indicator data, agronomic indicator data, global land surface satellite products, and ground data. These models were trained based on agroecological zones to accurately estimate crop production in different agricultural regions. The estimates were then calibrated with regional statistics for consistency. Cross-validation results demonstrated the models’ performance. GGCP10’s accuracy and reliability were evaluated using gridded, survey, and statistical data. This dataset reveals spatiotemporal distribution patterns of global crop production and contributes to understanding mechanisms driving changes in crop production. GGCP10 provides crucial data support for research on global food security and sustainable agricultural development.
Craving induction through virtual reality cue-exposure for patients with alcohol dependence in rehabilitation treatment
Authors: Tsamitros N. , Gutwinski S. , Beck A. , Lange Mussons S. , Sebold M. , Schöneck R. , Wolbers T. , Bermpohl F. , Heinz A. , Lütt A. 
Published: December 2024

AbstractNew therapeutic approaches for alcohol dependence (AD) include virtual reality (VR)-based treatments offering scalable options for cue exposure (CE), a well-established strategy in cognitive behavioral therapy. This study aimed to evaluate the feasibility and tolerability of a new VR-CE paradigm. On an explorative basis, factors influencing the induction of craving were examined. This single-arm monocentric clinical study included n = 21 patients with AD in inpatient rehabilitation treatment, that completed one VR-CE session including confrontation with alcohol-associated stimuli. Measurements of subjective craving before, during and after exposure, affective states, VR side effects as cybersickness and the sense of presence in VR were conducted. Craving levels during and directly after VR-CE were significantly higher than before the intervention. Craving levels 20 min after VR-CE did not significantly differ compared to those before VR-CE. Patients described a pronounced sense of presence and only mild symptoms of cybersickness. Craving was significantly correlated with cybersickness. While positive affect decreased throughout the VR exposure, negative affect did not differ significantly in pre-post-comparisons. This study shows that craving induction through our VR-CE paradigm is feasible and well-tolerated by patients with AD in long-term rehabilitation. These results contribute to the development and future research of therapeutic VR-CE approaches.
Decoding skin cancer classification: perspectives, insights, and advances through researchers’ lens
Authors: Ray Amartya , Sarkar Sujan , Schwenker Friedhelm , Sarkar Ram 
Published: December 2024

AbstractSkin cancer is a significant global health concern, with timely and accurate diagnosis playing a critical role in improving patient outcomes. In recent years, computer-aided diagnosis systems have emerged as powerful tools for automated skin cancer classification, revolutionizing the field of dermatology. This survey analyzes 107 research papers published over the last 18 years, providing a thorough evaluation of advancements in classification techniques, with a focus on the growing integration of computer vision and artificial intelligence (AI) in enhancing diagnostic accuracy and reliability. The paper begins by presenting an overview of the fundamental concepts of skin cancer, addressing underlying challenges in accurate classification, and highlighting the limitations of traditional diagnostic methods. Extensive examination is devoted to a range of datasets, including the HAM10000 and the ISIC archive, among others, commonly employed by researchers. The exploration then delves into machine learning techniques coupled with handcrafted features, emphasizing their inherent limitations. Subsequent sections provide a comprehensive investigation into deep learning-based approaches, encompassing convolutional neural networks, transfer learning, attention mechanisms, ensemble techniques, generative adversarial networks, vision transformers, and segmentation-guided classification strategies, detailing various architectures, tailored for skin lesion analysis. The survey also sheds light on the various hybrid and multimodal techniques employed for classification. By critically analyzing each approach and highlighting its limitations, this survey provides researchers with valuable insights into the latest advancements, trends, and gaps in skin cancer classification. Moreover, it offers clinicians practical knowledge on the integration of AI tools to enhance diagnostic decision-making processes. This comprehensive analysis aims to bridge the gap between research and clinical practice, serving as a guide for the AI community to further advance the state-of-the-art in skin cancer classification systems.
Using population register data and capture-recapture models to estimate over-coverage in Sweden
Authors: Santos Bruno , Mussino Eleonora , Drefahl Sven , Matechou Eleni 
Published: December 2024

AbstractOver-coverage occurs when individuals who reside in a country leave or pass away, and this demographic event is not recorded in population registers, leading to population size overestimation. This problem can have important policy and decision-making consequences. With the increased reliance on incomplete but overlapping official registers for documenting whole populations or subgroups of populations, there is a need for more sophisticated modelling techniques that reliably estimate population size, and hence over-coverage, from such registers. Previous approaches have considered multiple systems estimation (MSE) for monitoring over-coverage, but MSE does not naturally extend to cases where individuals are followed over time. In this paper, motivated by the case study of Sweden, we develop a capture-recapture (CR) modelling framework for population registers that allows us to estimate the population size each year, the probability of presence for each individual in the population, conditional on their records, each year and to quantify the effect of demographic characteristics on the probability of emigration and re-immigration, amongst other parameters. Our results suggest that the CR approach, which accounts for the whole time series for each individual, gives a more realistic estimate of the population size compared to existing, deterministic approaches, especially when considering the subgroup of newly arrived individuals, and that it provides new insights on individual behaviour in terms of migration patterns than existing MSE approaches.
Hyperphenylalaninemia and serotonin deficiency in Dnajc12-deficient mice
Authors: Cao Yunqing , Popp Oliver , Milani Niccolo , Qadri Fatimunnisa , Kühn Ralf , Mertins Philipp , Bader Michael , Alenina Natalia 
Published: December 2024

AbstractSerotonin exerts numerous neurological and physiological actions in the brain and in the periphery. It is generated by two different tryptophan hydroxylase enzymes, TPH1 and TPH2, in the periphery and in the brain, respectively, which are members of the aromatic amino acid hydroxylase (AAAH) family together with phenylalanine hydroxylase (PAH), degrading phenylalanine, and tyrosine hydroxylase (TH), generating dopamine. In this study, we show that the co-chaperone DNAJC12 is downregulated in serotonergic neurons in the brain of mice lacking TPH2 and thereby central serotonin. DNAJC12 has been described to regulate the stability of PAH and mutations in its gene cause hyperphenylalaninemia and neurological symptoms in patients. We show that DNAJC12 also binds and stabilizes TPH1 and TPH2 in transfected cells. In order to clarify the importance of DNAJC12 in the regulation of neurotransmitter synthesis and phenylalanine degradation in vivo, we generated DNAJC12-deficient mice. These mice show reduced levels and activity of PAH, TPH2, and TPH1 in liver, brain, and pineal gland, respectively, and experience hyperphenylalaninemia and central and peripheral serotonin deficiency. These data support a pivotal role of DNAJC12 in the regulation of AAAH and thereby in neurotransmitter synthesis and phenylalanine homeostasis.
A topological route to engineering robust and bright supersymmetric laser arrays
Authors: Datta Soujanya , Alizadeh Mohammadmahdi , El-Ganainy Ramy , Roychowdhury Krishanu 
Published: December 2024

AbstractIn recent years, several proposals that leverage principles from condensed matter and high-energy physics for engineering laser arrays have been put forward. The most important among these concepts are topology, which enables the construction of robust zero-mode laser devices, and supersymmetry (SUSY), which holds the potential for achieving phase locking in laser arrays. In this work, we show that the relation between supersymmetric coupled bosonic and fermionic oscillators on one side, and bipartite networks (and hence chiral symmetry) on another side can be exploited together with non-Hermitian engineering for building one- and two-dimensional laser arrays with in-phase synchronization. To demonstrate our strategy, we present a concrete design starting from the celebrated Su-Schrieffer-Heeger (SSH) model to arrive at a SUSY laser structure that enjoys two key advantages over those reported in previous works. Firstly, the design presented here features a near-uniform geometry for both the laser array and supersymmetric reservoir (i.e., the widths and distances between the cavity arrays are almost the same). Secondly, the uniform field distribution in the presented structure leads to a far-field intensity that scales as N2 where N is the number of lasing elements. Taken together, these two features can enable the implementation of higher-power laser arrays that are easy to fabricate, and hence provide a roadmap for pushing the frontier of SUSY laser arrays beyond the proof-of-concept phase.
A high-temperature multiferroic Tb2(MoO4)3
Authors: Tajima Shimon , Masuda Hidetoshi , Nii Yoichi , Kimura Shojiro , Onose Yoshinori 
Published: December 2024

AbstractMagnetoelectric mutual control in multiferroics, which is the electric control of magnetization, or reciprocally the magnetic control of polarization has attracted much attention because of its possible applications to spintronic devices, multi-bit memories, and so on. While the required working temperature for the practical application is much higher than room temperature, which ensures stable functionality at room temperature, the reported working temperatures were at most around room temperature. Here, we demonstrated magnetic control of ferroelectric polarization at 432 K in ferroelectric and ferroelastic Tb2(MoO4)3, in which the polarity of ferroelectric polarization is coupled to the orthorhombic strain below the transition temperature 432 K. The paramagnetic but strongly magnetoelastic Tb3+ magnetic moments enable the magnetic control of ferroelectric and ferroelastic domains; the ferroelectric polarization is controlled depending on whether the magnetic field is applied along [110] or [1$$\bar{1}$$

1

¯

0]. This result may pave a new avenue for designing high-temperature multiferroics.
Energy and cost-saving potential of combined carbon capture and conversion: a pioneering design of a process intensification concept harnessing CeO2 as a dual-functional material
Authors: Yagihara Koki , Ni Jialing , Wang Anqing , Ohno Hajime , Fukushima Yasuhiro 
Published: December 2024

A new process intensification concept, termed combined carbon capture conversion (quad-C), can reduce energy consumption and enhance economic viability for CO2 capture simultaneously, using a dual-functional material.
Motif‐based resiliency assessment for cyber‐physical power systems under various hazards
Authors: Binqadhi Hamed M. , AlMuhaini Mohammed M. , Poor H. Vincent , Flynn David , Huang Hao 
Published: December 2024

AbstractCyber‐physical power systems (CPPS) are integral to meeting society's demand for secure, sustainable, affordable and resilient critical networks and services. Given the convergence of decarbonising, heating, cooling, and transportation networks onto cyber‐physical power systems (CPPS), this takes on increased significance. This paper introduces an innovative approach to the open challenge of how we evaluate CPPS resilience, presenting the use of network motifs and Monte Carlo simulations. We demonstrate how our methodology enables a comprehensive analysis of CPPS by capturing the interdependence between cyber and physical networks and by accounting for inherent uncertainties in cyber and physical components. Specifically, this method incorporates the dynamic interplay between the physical and cyber networks, presenting a time‐dependent motif‐based resilience metric. This metric evaluates CPPS performance in maintaining critical loads during and after diverse extreme events in cyber and/or physical layers. The resilience status of the system is determined using the prevalence of 4‐node motifs within the system's network, offering valuable redundant paths for critical load supply. The study models a variety of natural events, including earthquakes, windstorms, and tornadoes, along with cyber‐attacks while accounting for their inherent uncertainties using Monte Carlo simulation. The proposed approach is demonstrated through two test CPPS, specifically the IEEE 14‐bus and IEEE 30‐bus test systems, affirming its effectiveness in quantifying CPPS resilience. By comprehensively addressing system dynamics, interdependencies, and uncertainties, the proposed technique advances our understanding of CPPS and supports resilient system design.
Modified fast discrete‐time PID formulas for obtaining double precision accuracy
Authors: Kim Eungnam , Choi Jin‐Young 
Published: December 2024

AbstractProportional integral derivative (PID) controllers are widely used across various industries. This paper presents a new modified PID controller based on integer origin raw data, which are equivalent to classic PID controller based on floating‐point actual values. These new formulas presented in new PID controller provide a mathematical approach to the ‘Classic PID Formula’, ‘Subtractor Formula’ and ‘Scaling Formula’, which form the basis of classic PID controller. The approach integrates these three formulas and separates them into integer and real value by applying the properties of associativity and commutativity. This method uses origin raw data as input to perform integer‐based computation and performs floating‐point operations once. This resulted in faster computation time and energy savings, while showing accuracy comparable to the existing double precision formulas.
Advanced voltage relay design for distance relay coordination in power networks equipped with low‐inertia areas
Authors: Alasali Feras , El‐Naily Naser , Mustafa Haytham Y. , Loukil Hassen , Saad Saad M. , Saidi Abdelaziz Salah , Holderbaum William 
Published: December 2024

AbstractIn modern power systems with high levels of distributed generation (DG), traditional protection schemes face challenges in ensuring reliable and efficient fault detection due to the complexities introduced by DG, particularly low‐inertia sources such as wind power. This paper presents an advanced protection scheme that integrates voltage relays (VRs) rather than overcurrent relays (OCRs) to improve coordination with distance relays (DRs) and enhance fault detection across multiple protection zones. By utilizing voltage measurements instead of conventional current‐based methods, the proposed scheme addresses issues such as low fault currents and mis‐coordination, which are common in DG‐integrated systems. The VR‐DR coordination improves system reliability by increasing fault detection sensitivity and selectivity, reducing the risk of mis‐coordination, and minimizing reliance on potentially inconsistent current measurements. VRs trigger faster fault isolation by operating before backup DRs, thus improving overall response times and system resilience. The VR scheme significantly outperforms traditional overcurrent relay schemes, with tripping times ranging from 0.002 to 0.956 s, compared to 0.035 to 1.184 s in the traditional scheme for three‐phase faults in a CIGRE power network. Additionally, the total tripping time is reduced from 10.5 s in the traditional scheme to 3.2 s with the VR scheme in networks with DGs under line to line to ground fault. The study demonstrates that no mis‐coordination events occurred with DRs in zone two, further emphasizing the effectiveness and reliability of the VR scheme. This innovative approach offers substantial improvements in fault management, ensuring quicker fault resolution and enhanced system stability in modern, DG‐integrated power grids.
Unveiling the formation channels of stellar halos through their chemical fingerprints
Authors: Gonzalez-Jara Jenny , Tissera Patricia B. , Monachesi Antonela , Sillero Emanuel , Pallero Diego , Pedrosa Susana , Tau Elisa A. , Tapia-Contreras Brian , Bignone Lucas 
Published: December 2024

Context. Stellar halos around galaxies contain key information about their formation and assembly history. Using simulations, we can trace the origins of different stellar populations in these halos, contributing to our understanding of galaxy evolution.
Aims. We aim to investigate the assembly of stellar halos and their chemical abundances in 28 galaxies from CIELO cosmological hydrodynamical zoom-in simulations, spanning a broad range of stellar masses, M⋆,gal ∈ 109 − 1011 M⊙.
Methods. Stellar halos were identified using the AM-E method, focusing on the outer regions between the 1.5 optical radius and the virial radius. We divided the stellar populations based on their formation channel: ex-situ, endo-debris, and in-situ, and analyzed their chemical abundances, ages, and spatial distributions. Additionally, we explored correlations between halo mass, metallicity, and alpha-element enrichment.
Results. CIELO simulations reveal that stellar halos are predominantly composed of accreted material, including both ex-situ and endo-debris stars, in agreement with previous works. The mass fraction of these populations is independent of stellar halo mass, though their metallicities scale linearly with it. Ex-situ stars tend to dominate the outskirts and be more α-rich and older, while endo-debris stars are more prevalent at lower radii and tend to be less α-rich and slightly younger. Massive stellar halos (M⋆,halo > 109.5 M⊙ ) require a median of five additional satellites to build 90% of their mass, compared to lower-mass halos, which typically need fewer (median of 2.5) and lower-mass satellites and are assembled earlier. The diversity of accreted satellite histories results in well-defined stellar halo mass-metallicity and [α/Fe]-[Fe/H] relations, offering a detailed view of the chemical evolution and assembly history of stellar halos. We find that the [α/Fe]-[Fe/H] is more sensitive to the characteristics and star formation history of the contributing satellites than the stellar halo mass-metallicity relationship.