bluuebunny/crossref_metadata_2025_split huggingface dataset:
IRF1-mediated upregulation of PARP12 promotes cartilage degradation by inhibiting PINK1/Parkin dependent mitophagy through ISG15 attenuating ubiquitylation and SUMOylation of MFN1/2
Authors: Deng Zengfa , Long Dianbo , Li Changzhao , Liu Hailong , Li Wei , Zhong Yanlin , Mo Xiaolin , Li Ruiyun , Yang Zibo , Kang Yan , Mao Guping 
Published: October 2024

AbstractOsteoarthritis (OA) is an age-related cartilage-degenerating joint disease. Mitochondrial dysfunction has been reported to promote the development of OA. Poly (ADP-ribose) polymerase family member 12 (PARP12) is a key regulator of mitochondrial function, protein translation, and inflammation. However, the role of PARP12 in OA-based cartilage degradation and the underlying mechanisms are relatively unknown. Here, we first demonstrated that PARP12 inhibits mitophagy and promotes OA progression in human OA cartilage and a monosodium iodoacetate-induced rat OA model. Using mass spectrometry and co-immunoprecipitation assay, PARP12 was shown to interact with ISG15, upregulate mitofusin 1 and 2 (MFN1/2) ISGylation, which downregulated MFN1/2 ubiquitination and SUMOylation, thereby inhibiting PINK1/Parkin-dependent chondrocyte mitophagy and promoting cartilage degradation. Moreover, inflammatory cytokine-induced interferon regulatory factor 1 (IRF1) activation was required for the upregulation of PARP12 expression, and it directly bound to the PARP12 promoter to activate transcription. XAV-939 inhibited PARP12 expression and suppressed OA pathogenesis in vitro and in vivo. Clinically, PARP12 can be used to predict the severity of OA; thus, it represents a new target for the study of mitophagy and OA progression. In brief, the IRF1-mediated upregulation of PARP12 promoted cartilage degradation by inhibiting PINK1/Parkin-dependent mitophagy via ISG15-based attenuation of MFN1/2 ubiquitylation and SUMOylation. Our data provide new insights into the molecular mechanisms underlying PARP12-based regulation of mitophagy and can facilitate the development of therapeutic strategies for the treatment of OA.
Study on the strength influence mechanism and cracking mechanism of stone powder-cement floor grouting materials
Authors: Chen Xinming , Zheng Diantao , Jiao Huazhe , Yang Liuhua , Rong Yangyang , Sun Jinyu 
Published: October 2024

AbstractUnderground grouting is a concealed project, and it is difficult to test the strength of grouting stones in engineering practice. Aiming at the problems of high confined water pressure and strong water-richness of the roadway floor, a pressure filtration test device was developed, and a PFC2D uniaxial compression model was established to study the variation law of stone strength and crack evolution mechanism of grouting materials under different grouting pressures. The results show that with the increase of pressure filtration value, the amount of slurry dehydration increases, the pore water pressure dissipates, the pores between particles are tightly compressed, the contact force between particle skeletons increases, and the strength of stone body increases. Under the condition of the same cement powder ratio (mass ratio of cement to stone powder) or stone powder particle size, the strength of stone body of stone powder-cement grouting material increases with the increase of pressure filtration value. The stress-strain curves of the stone body with different pressure filtration values all experienced three stages: continuous elasticity, fracture expansion and strength failure. Before the peak, the number of cracks increases slowly; after reaching the peak, the micro-cracks extend rapidly and the number increases rapidly, resulting in the final tensile failure of the specimen. This study can provide a basis for the selection of grouting engineering material ratio and grouting pressure parameters.
Decentralized fault-tolerant control of multi-mobile robot system addressing LiDAR sensor faults
Authors: Elsayed Ahmed M. , Elshalakani Mohamed , Hammad Sherif A. , Maged Shady A. 
Published: October 2024

AbstractThe control of multi-robot formations is a crucial aspect in various applications, such as transport, surveillance and monitoring environments. Maintaining robots in a specific formation pose or performing a cooperative task is a significant challenge when a fault occurs among any of the robots. This work presents a Decentralized Fault-Tolerant Control (DFTC) scheme that addresses lidar sensor faults within a system of multiple differential wheeled mobile robots. The robots change the formation shape according to the number of available robots within the formation. A Graph theory is implemented to represent the multi-robot formation and communication. Each mobile robot is equipped with three sensors: a wheel encoder, an Inertial Measurement Unit (IMU), and a lidar sensor. Sensor fault detection and isolation (FDI) is implemented at two levels. The pose estimation obtained from the wheel encoder and IMU is fused using an extended Kalman filter (EKF), and this pose estimation is utilized at the local level of lidar sensor FDI. At the system level, the FDI of the lidar sensor involves computing a residual by comparing the pose estimation with other lidar sensors mounted on other mobile robots within the formation. The presented FTC scheme is simulated in Simulink multi-robot environments.
Rethinking max–min planning on energy-efficient software-defined networking for 5G networks
Authors: Jiang Dingde , Zhu Bowen , Sun Junyang , Wang Zhihao , Lyu Zhihan , Singh Amit Kumar , Yuan Zhen 
Published: October 2024

AbstractEnergy efficiency plays an important role in intelligent networking for 5G networks, which concerns environmental, financial, and performance aspects of intelligent networking for 5G networks. To this end, network designers propose energy-efficient approaches to reduce energy consumption of networks and to raise network performance by switching off the links/nodes with low loads or at idle status. The existing energy-efficient approaches can be formulated as a max–min optimal problem, namely maximizing network/node/port throughput via minimum energy consumption. The max–min planning investigates energy efficiency only from the links/nodes perspective. The max–min planning for energy-efficient networking, if not carefully designed from the network-wide standpoint, can lead to lower energy efficiency for the whole network due to lack of global planning, which in turn results in the degraded performance due to network un-connectivity after closing the nodes/links. In this paper we rethink the max–min planning framework on energy-efficient software-defined networking for intelligent networking of 5G networks, which takes in account combining network connectivity and maximum network flow with minimum energy consumption. Our framework aims at how to deliver dynamic end-to-end traffic demands with the appropriate network topology by building data forwarding plane with maximum network flow and control plane with network connectivity. We discuss the associated challenges and implementation issues. A dynamic max–min planning framework depending on dynamic end-to-end traffic demands is presented to achieve network-wide energy efficiency. Numerical results show the improved energy efficiency performance for the whole network.
The projected exposure and response of a natural barrier island system to climate-driven coastal hazards
Authors: Thomas Jennifer A. , Barnard Patrick L. , Vitousek Sean , Erikson Li H. , Parker Kai , Nederhoff Kees , Befus Kevin M. , Shirzaei Manoochehr 
Published: October 2024

Abstract
Accelerating sea level rise (SLR) and changing storm patterns will increasingly expose barrier islands to coastal hazards, including flooding, erosion, and rising groundwater tables. We assess the exposure of Cape Lookout National Seashore, a barrier island system in North Carolina (USA), to projected SLR and storm hazards over the twenty-first century. We estimate that with 0.5 m of SLR, 47% of current subaerial barrier island area would be flooded daily, and the 1-year return period storm would flood 74%. For 20-year return period storms, over 85% is projected to be flooded for any SLR. The modelled groundwater table is already shallow (< 2 m deep), and while projected to shoal to the land surface with SLR, marine flooding is projected to overtake areas with emergent groundwater. Projected shoreline retreat reaches an average of 178 m with 1 m of SLR and no interventions, which is over 60% of the current island width at narrower locations. Compounding these hazards is subsidence, with one-third of the study area currently lowering at > 2 mm/yr. Our results demonstrate the difficulty of managing natural barrier systems such as those managed by federal park systems tasked with maintaining natural ecosystems and protecting cultural resources.
Optimizing dry milling of stir-cast and heat-treated AZ80 magnesium alloy using multiple criteria optimization technique: an experimental study
Authors: Tamil Selvan M. , Somasundaram M. , Raja Annamalai A. 
Published: October 2024

AbstractThe primary aspects of this research are to evaluate surface roughness, cutting force, and material removal rate and optimize it with dry milling process parameters for heat-treated and stir-cast AZ80 magnesium alloy. Multiple methodologies are utilized in the research, which includes the Integration of design of experiments—response surface methodology for experimental design with the technique for order of preference by similarity to ideal solution for multi-criteria optimization. In order to evaluate the effect of process parameters on the response, the experimental design manipulates the depth of cut, feed rate, and cutting speed in a systematic manner. An evaluation of the machined surface’s quality is conducted via surface roughness measurements. Likewise, insights into the forces exerted during milling can be obtained through continuous monitoring of cutting forces. The calculation of material removal rate is predicated on weight reduction. The interaction between the depth of cut and feed rate has a significant impact on the critical-to-quality characteristics of the alloy, which has contribution percentage greater than 25%. This finding validates that despite the heat-treated alloy having a similar composition to the as-cast alloy (where the closeness coefficient is 0.9843), the optimal process parameters of the former are not applicable to the latter. Nevertheless, the technique used to prepare the specimen has no bearing on the material removal rate, which is a process parameter-specific effect.
Chytrid fungi infecting Arctic microphytobenthic communities under varying salinity conditions
Authors: Ilicic Doris , Woodhouse Jason , Karsten Ulf , Schimani Katherina , Zimmermann Jonas , Grossart Hans-Peter 
Published: October 2024

AbstractThis study aimed to investigate the presence and diversity of fungal parasites in Arctic coastal microphytobenthic communities. These communities represent a key component in the functioning of Arctic trophic food webs. Fungal parasites, particularly Chytridiomycota (chytrids), play significant roles by controlling microalgal bloom events, impacting genetic diversity, modifying microbial interactions, and accelerating nutrient and energy transfer to higher trophic levels. In the context of rapid Arctic warming and increased glacier meltwater, which significantly affects these communities, we used high-throughput sequencing to explore fungal community composition. Our results show that chytrids dominate fungal communities in Arctic benthic habitats and that the overall fungal diversity is primarily influenced by the salinity gradient. Chytrid representation is positively correlated with the presence of potential benthic diatom (Surirella, Nitzschia, Navicula) and green algae (Ulvophyceae) hosts, while microscopic observations provide further evidence for the presence of active chytrid infections.
Synergistic pairing of synthetic image generation with disease classification modeling permits rapid digital classification tool development
Authors: Allan-Blitz Lao-Tzu , Ambepitiya Sithira , Prathapa Janitha , Rietmeijer Cornelis A. , Kularathne Yudara , Klausner Jeffrey D. 
Published: October 2024

AbstractMachine-learning disease classification models have the potential to support diagnosis of various diseases. Pairing classification models with synthetic image generation may overcome barriers to developing classification models and permit their use in numerous contexts. Using 10 images of penises with human papilloma virus (HPV)-related disease, we trained a denoising diffusion probabilistic model. Combined with text-to-image generation, we produced 630 synthetic images, of which 500 were deemed plausible by expert clinicians. We used those images to train a Vision Transformer model. We assessed the model’s performance on clinical images of HPV-related disease (n = 70), diseases other than HPV (n = 70), and non-diseased images (n = 70), calculating recall, precision, F1-score, and Area Under the Receiver Operating Characteristics Curve (AUC). The model correctly classified 64 of 70 images of HPV-related disease, with a recall of 91.4% (95% CI 82.3%-96.8%). The precision of the model for HPV-related disease was 95.5% (95% CI 87.5%-99.1%), and the F1-score was 93.4%. The AUC for HPV-related disease was 0.99 (95% CI 0.98-1.0). Overall, the HPV-related disease classification model demonstrated excellent performance on clinical images, which was trained exclusively using synthetic images.
Dependence of the polytropic behaviour of solar wind protons on temperature anisotropy and plasma β near L1
Authors: Katsavrias C. , Nicolaou G. , Livadiotis G. 
Published: October 2024

Context. A polytropic process describes the transition of a fluid from one state to another through a specific relationship between the fluid density and temperature, while the value of the polytropic index that governs this relationship determines the heat transfer and the effective degrees of freedom of that specific process.
Aims. In this paper we investigate in depth the relationship between the proton effective polytropic index γ in the solar wind, the proton anisotropy α, and plasma β, while – for the first time to our knowledge to such an extent – we further investigate the dependence of the partial (with respect to the magnetic field) polytropic index to both the above-mentioned plasma parameters.
Methods. To this end we use the entire Wind dataset spanning the 1995 to 2023 time period to derive the distributions of the polytropic index in the near-Earth space (L1).
Results. Our results indicate that the proton γ increases with increasing proton anisotropy and decreases with increasing plasma β. Finally, we show that even though the average (over long time periods) total and partial proton polytropic index values are very close, these values correspond to isotropic plasma alone, with a further balance between the thermal and magnetic pressure.On the contrary, for shorter time periods and/or specific solar wind structures, where the proton anisotropy and plasma β exhibit deviations from these average values, the partial proton polytropic index exhibits significant variation that is dependent on the anisotropy and on plasma β.
Research on short process rolling of high performance wear resistant steel/carbon steel clad plate
Authors: Lv Yanbing , Qiao Fuzhen , Song Jiayu , Huang Zhiquan , Jiang Lianyun 
Published: October 2024

An innovative short process rolling has been proposed to produce high performance clad plates of wear-resistant steel/carbon steel with lower production costs. The NM400 and Q345B cast billet instead of traditional hot-rolled plates were chosen to prepare composite steel ingots. The interface morphology, microstructure, and mechanical properties of clad plates with 45%, 60%, and 70% reduction ratios were analyzed and detailed using metallographic microscopy, scanning electron microscopy, and energy dispersive spectroscopy. The results demonstrate that the improvement of the reduction ratio effectively promotes the grain refinement of clad plates and the metallurgical bonding of dissimilar metals. The bonding interface of the clad plate is straight and clear when the reduction ratio is 70%, the distribution of alloy elements is uniform, and the grain refinement is apparent. The tensile strength of the clad plate rolling by the short process rolling reaches 626 MPa, the bonding strength reaches 484 MPa, and the elongation reaches 21%. These results exceed national, international, and industry standards.
Interrogating whiteness in International Relations: Critical Examinations of Race and Racialised Power
Authors: Blackwell James , Carney Charlotte , Giri Keshab , Nair Davina , Scott Kate , Shepherd Laura J. 
Published: October 2024

AbstractThe dynamics of knowledge production in the discipline of international relations (IR) frequently reproduce problematic and outdated idea(l)s about what counts as ‘proper’ scholarship, with positivist research setting the standard for legitimacy. This essay challenges the racialised hierarchies that reproduce unreflective endorsement of these (white, Western) ‘standards’ of knowledge production. Our review begins with an elaboration of epistemic whiteness as the foundation for a critical examination of race and racialised power in the discipline. We provide a timely and necessary review of the dynamics of racialised power in IR to expand the parameters of debates about race, racism, and coloniality. We introduce the concepts of Indigeneity and intersectionality as tools we can use to destabilise whiteness in the discipline. We conclude our discussion by showing how these two concepts can enable potentially transformative re-imaginings of IR, as we hope to foster new and plural ways of thinking world politics otherwise.
“This story must be told:” unveiling environmental and social tapestry in Imbolo Mbue’s How Beautiful We Were
Authors: Velu Roopalakshmi , V Dr Rajasekaran 
Published: October 2024

AbstractThe article examines Imbolo Mbue’s How Beautiful We Were from the scant critical attention to the question of reading Oil Culture in the light of Climate Change within the context of ecocriticism and narratology. This novel is a powerful commentary on the environmental, social, and epistemic injustices inflicted upon the Kosawa people, whose lives hung between the crossfire of corporate greed and governmental corruption. Employing eco-narratology as a critical lens, this article delves into how Mbue’s storytelling reflects and critiques environmental injustices while advocating for collective resistance. By examining the interplay of narrative techniques and ecological themes, this article fills the gap of engaging with the detrimental effects of oil extraction on the environment in the context of climate change, which have been under the radar and considered as a form of spatial amnesia within the realm of oil fiction studies. By intertwining a cluster of concepts, including chronotope, memory, and environmental justice, this analysis enhances our understanding of contemporary petroculture and advocates for a shift in energy consumption and ecological responsibility discourse.
A preliminary exploration of feminist translation strategies
Authors: Tan Ying 
Published: October 2024

Abstract
Interventionist feminist translation theory prompts translators to identify and rectify sexist notions in source
texts. It encourages critical awareness and reinterprets texts through a feminist lens. Based on interventionist feminist
translation theory, this research investigates how depictions of women’s physical charm, often unnecessary and rooted in
stereotypes, are handled in translations. Focusing on seven instances from Liu Cixin’s The Three-Body Trilogy — a
notable Chinese science fiction work debated for its sexism —, the study contrasts the source text with its English and Spanish
translations. By analysing the selected fragments of the Chinese novel and the unmissable alterations to the original in the
target texts, this paper demonstrates how the techniques of elision and adaptation can help translators iron out the sexist
implications. The findings contribute to our understanding of feminist translation strategies for addressing sexist elements in
literary works.
Fast unfolding of communities in large networks: 15 years later
Authors: Blondel Vincent , Guillaume Jean-Loup , Lambiotte Renaud 
Published: October 2024

Abstract
The Louvain method was proposed 15 years ago as a heuristic method for the fast detection of communities in large networks. During this period, it has emerged as one of the most popular methods for community detection: the task of partitioning vertices of a network into dense groups, usually called communities or clusters. Here, after a short introduction to the method, we give an overview of the different generalizations, modifications and improvements that have been proposed in the literature, and also survey the quality functions, beyond modularity, for which it has been implemented. Finally, we conclude with a discussion on the limitations of the method and perspectives for future research.
Therapeutic effects of LIPUS on the elasticity of injured tendons: animal experiment
Authors: Zheng Qian , Liu Mengyao , Jiang Lixin , Ta Dean 
Published: October 2024

Abstract
This paper aims to explore the efficacy and duration of low-intensity pulsed ultrasound (LIPUS) treatment in improving the elastic properties of injured tendons through animal experiments. 48 healthy 3-month-old New Zealand white rabbits (weight 2.5-3.0 kg) were randomly divided into the Control group (n = 9) and model group (n = 39). The rabbits in the model group were injected with 0.2ml PGE2 mixed solution (concentration: 500 ng/0.2ml) into the Achilles tendon 2cm above the calcaneus, once a week, for 4 weeks, to build the Achilles tendon injury model. The Control group was injected with the same volume of PBS solution. Three rabbits were randomly selected from the Control and model groups for model validation, the model group was randomly divided into the Model (n = 6) and LIPUS (n = 30) groups. Then the LIPUS was randomly divided into the LIPUS1 (n = 6), LIPUS4 (n = 6), LIPUS7 (n = 6), LIPUS14 (n = 6), and LIPUS28 (n = 6) subgroups. Following interventions on days 1, 4, 7, 14, and 28, tendon elasticity was assessed by shear wave elastography (SWE). The elastic modulus of the Model, LIPUS1, and LIPUS4 groups exhibited a significant decrease compared to the Control group during the early stages of treatment. With prolonged treatment duration, the elastic modulus of LIPUS groups gradually increased. By day 7, no statistically significant difference in elastic modulus existed between the LIPUS7 and Control groups, indicating that LIPUS treatment had successfully restored the Achilles tendon’s elasticity to a healthy state. In summary, LIPUS therapy demonstrates the potential to effectively ameliorate the elastic properties of injured Achilles tendons.