bluuebunny/crossref_metadata_2025 huggingface dataset:
Centralized and decentralized combined voltage control for distribution network with high penetration PV connected
Authors: Xi Haikuo , Chen Can , Bai Xuesong , Ma Yuan , Ding Jiachao , Chen Qifang
Published: June 2024

With the high penetration of distributed photovoltaics (DPVs) integrated into the distribution network, the voltage problem becomes a critical problem. At present, the resources in the current distribution network hardly satisfy the requirements of voltage regulation. However, the huge amount of DPVs in the distribution network could be a potential voltage regulation resource due to the controllable active power and reactive power. In this paper, a day-ahead centralized and intraday decentralized combined voltage control method is proposed for high penetration DPVs connected distribution Networks. In the part of day-ahead control, centralized compensation of the distribution network voltage is achieved by controlling the gear ratio of the capacitor/reactor group on an hourly scale. The intraday control part consists of decentralized local control based on DPVs and centralized control based on energy storage (ES) equipment. The reactive and active power of DPVs is controlled in a decentralized way by using local priority sensitivity control based on the coordination with capacitor optimization. Finally, simulations are performed to verify the performance of the method. The results indicate that this method can effectively solve the voltage problem caused by DPVs.
Bases for optimising stabiliser decompositions of quantum states
Authors: de Silva Nadish , Yin Ming , Strelchuk Sergii
Published: June 2024

Stabiliser states play a central role in the theory of quantum computation. For example, they are used to encode computational basis states in the most common quantum error correction schemes. Arbitrary quantum states admit many stabiliser decompositions: ways of being expressed as a superposition of stabiliser states. Understanding the structure of stabiliser decompositions has significant applications in verifying and simulating near-term quantum computers. We introduce and study the vector space of linear dependencies of n-qubit stabiliser states. These spaces have canonical bases containing vectors whose size grows exponentially in n. We construct elegant bases of linear dependencies of constant size three. Critically, our sparse bases can be computed without first compiling a dictionary of all n-qubit stabiliser states. We utilise them to explicitly compute the stabiliser extent of states of more qubits than is feasible with existing techniques. Finally, we delineate future applications to improving theoretical bounds on the stabiliser rank of magic states.
Advances and challenges in direct additive manufacturing of dense ceramic oxides
Authors: Fan Zhiqi , Tan Qiyang , Kang Chengwei , Huang Han
Published: June 2024

Ceramic oxides, renowned for their exceptional combination of mechanical, thermal, and chemical properties, are indispensable in numerous crucial applications across diverse engineering fields. However, conventional manufacturing methods frequently grapple with limitations, such as challenges in shaping intricate geometries, extended processing durations, elevated porosity, and substantial shrinkage deformations. Direct additive manufacturing (dAM) technology stands out as a state-of-the-art solution for ceramic oxides production. It facilitates the one-step fabrication of high-performance, intricately designed components characterized by dense structures. Importantly, dAM eliminates the necessity for post-heat treatments, streamlining the manufacturing process and enhancing overall efficiency. This study undertakes a comprehensive review of recent developments in dAM for ceramic oxides, with a specific emphasis on the laser powder bed fusion and laser directed energy deposition techniques. A thorough investigation is conducted into the shaping quality, microstructure, and properties of diverse ceramic oxides produced through dAM. Critical examination is given to key aspects including feedstock preparation, laser-material coupling, formation and control of defects, in-situ monitoring and simulation. This paper concludes by outlining future trends and potential breakthrough directions, taking into account current gaps in this rapidly evolving field.
Accelerating multilayer frequency selective surface absorber design by combining equivalent circuit models with machine learning
Authors: Zhao Yong , Cao Zhaowang , Cao Qiyang , Li Haoran , Ji Xiao , Miao Ling , Jiang Jianjun
Published: June 2024

Designing high-performance electromagnetic functional materials and artificial structures is of great significance for electromagnetic wave modulation applications. Optimizing performance in the high-dimensional parameter space of electromagnetic functional materials has posed a challenging problem. This paper proposes the use of reinforcement and transfer learning methods to facilitate the quick and accurate design of wideband circuit analog absorbers (CAA). A trained reinforcement learning network is utilized to comprehend the relationship between reflectivity performance and changes in impedance parameter. Furthermore, the transfer learning method is applied to accelerate the training process, leading in a 20-fold reduction in the number of simulations. To validate the effectiveness of this approach, a double-layer absorber aiming for reflectivity less than −20 dB at 3–10 GHz is designed, requiring only 50 simulations. This demonstrates that the proposed method provides a flexible strategy for the interactive design of equivalent circuit and electromagnetic structural parameters. Moreover, it presents a novel and efficient solution for microwave absorber design, with potential applications across various microwave design fields.
Experimental investigation on microstructure, hardness and corrosion resistance of an electromagnetic welded titanium-stainless steel dissimilar materials
Authors: Chebolu Rohinikumar , Kakarla Mahalakshmi , Nallu Ramanaiah , Sharma Surender Kumar , Kumar Kiran , Sharma Archana
Published: June 2024

The electromagnetic welding (EMW), often known as magnetic pulse welding, is a solid-state welding technology that is used to join two different materials using high-velocity impact. In this study an attempt was made to join the Titanium(Ti)- Stainless Steel(SS 304) materials with the help of multi turn disc coil along with the field shaper. A comparative investigation was conducted on the joint’s microstructure, as well as its mechanical and corrosion properties. Inverted optical microscopy (OM) and x-ray diffraction (XRD) were used to do the microstructural characterization of the joint. The micro-Vickers hardness test was used to analyse the material’s mechanical properties. In addition, electrochemical experiments were run on the Ti-SS 304 EMW junction as well as the component materials to establish how resistant they were to corrosion. Using an electrochemical impedance analyzer, the levels of corrosion that were caused by the structures were measured while they were submerged in a solution of nitric acid at room temperature. The microstructural pictures revealed a wave-like pattern at the material’s interface, which is evidence of strong adhesion between the components. The micro vickers hardness of the joints was within the permitted range, as was the corrosion rate.
Interpreting variational quantum models with active paths in parameterized quantum circuits
Authors: Lee Kyungmin , Jeon Hyungjun , Lee Dongkyu , Kim Bongsang , Bang Jeongho , Kim Taehyun
Published: June 2024

Variational quantum machine learning (VQML) models based on parameterized quantum circuits (PQC) have been expected to offer a potential quantum advantage for machine learning (ML) applications. However, comparison between VQML models and their classical counterparts is hard due to the lack of interpretability of VQML models. In this study, we introduce a graphical approach to analyze the PQC and the corresponding operation of VQML models to deal with this problem. In particular, we utilize the Stokes representation of quantum states to treat VQML models as network models based on the corresponding representations of basic gates. From this approach, we suggest the notion of active paths in the networks and relate the expressivity of VQML models with it. We investigate the growth of active paths in VQML models and observe that the expressivity of VQML models can be significantly limited for certain cases. Then we construct classical models inspired by our graphical interpretation of VQML models and show that they can emulate or outperform the outputs of VQML models for these cases. Our result provides a new way to interpret the operation of VQML models and facilitates the interconnection between quantum and classical ML areas.
Completion of partial chemical equations
Authors: Zipoli Federico , Ayadi Zeineb , Schwaller Philippe , Laino Teodoro , Vaucher Alain C
Published: June 2024

Inferring missing molecules in chemical equations is an important task in chemistry and drug discovery. In fact, the completion of chemical equations with necessary reagents is important for improving existing datasets by detecting missing compounds, making them compatible with deep learning models that require complete information about reactants, products, and reagents in a chemical equation for increased performance. Here, we present a deep learning model to predict missing molecules using a multi-task approach, which can ultimately be viewed as a generalization of the forward reaction prediction and retrosynthesis models, since both can be expressed in terms of incomplete chemical equations. We illustrate that a single trained model, based on the transformer architecture and acting on reaction SMILES strings, can address the prediction of products (forward), precursors (retro) or any other molecule in arbitrary positions such as solvents, catalysts or reagents (completion). Our aim is to assess whether a unified model trained simultaneously on different tasks can effectively leverage diverse knowledge from various prediction tasks within the chemical domain, compared to models trained individually on each application. The multi-task models demonstrate top-1 performance of 72.4%, 16.1%, and 30.5% for the forward, retro, and completion tasks, respectively. For the same model we computed round-trip accuracy of 83.4%. The completion task exhibiting improvements due to the multi-task approach.
Processes and principles for producing credible climate change attribution messages: lessons from Australia and New Zealand
Authors: Grose Michael , Hope Pandora , Risbey James , Mora Camille J , Perkins-Kirkpatrick Sarah , King Andrew , Harrington Luke J , Rosier Suzanne , Matear Richard , Black Mitchell , Stone Dáithi , Frame David , McKay Roseanna C , Ramsay Hamish , Zhou Linjing , Tolhurst Gen
Published: June 2024

Extreme event attribution (EEA) information is increasingly in demand from climate services. EEA messages can: raise awareness about the effect climate change has already imposed, inform climate change liability conversations, and be combined with climate projections to inform adaptation. However, due to limitations in observations, models and methods, there are barriers towards operationalising EEA in practice. Operational services will need EEA to be done transparently and using preset formats. Here we review recent experience and practice in EEA in Australia and New Zealand with a view to inform the design of an EEA component of climate services. We present a flow chart of the processes involved, noting particular care is needed on the trigger, event definition, and climate model evaluation, with effective stage gates. We also promote the use of tailored causal network diagrams as a standard tool to inform an EEA study and communicate results, with particular care needed for messages on events with lower confidence or complex sets of influences, including tropical cyclones and extratropical cyclones. We suggest that extending EEA to impact attribution is essential for making EEA messages salient but requires an uplift in forming interdisciplinary teams and in granular exposure and vulnerability datasets and is likely to raise new interdisciplinary methodological questions. Finally, we suggest communication of EEA messages can learn more from its origins in medical epidemiology.
The role of inter-island transmission in full decarbonisation scenarios for Indonesia’s power sector
Authors: Langer Jannis , Lombardi Francesco , Pfenninger Stefan , Rahayu Harkunti P , Al Irsyad Muhammad Indra , Blok Kornelis
Published: June 2024

Indonesia has large renewable energy resources that are not always located in regions where they are needed. Sub-sea power transmission cables, or island links, could connect Indonesia’s high-demand islands, like Java, to large-resource islands. However, the role of island links in Indonesia’s energy transition has been explored in a limited fashion. Considering Indonesia’s current fossil fuel dependency, this is a critical knowledge gap. Here we assess the role of island links in Indonesia’s full power sector decarbonisation via energy system optimisation modelling and an extensive scenario and sensitivity analysis. We find that island links could be crucial by providing access to the most cost-effective resources across the country, like onshore photovoltaics (PV) and hydropower from Kalimantan and geothermal from Sumatera. In 2050, 43 GW of inter-island transmission lines enable 410 GWp of PV providing half of total generation, coupled with 100 GW of storage, at levelised system costs of 60 US$(2021)/MWh. Without island links, Java could still be supplied locally, but at 15% higher costs due to larger offshore floating PV and storage capacity requirements. Regardless of the degree of interconnection, biomass, large hydro, and geothermal remain important dispatchable generators with at least 62 GW and 23% of total generation throughout all tested scenarios. Full decarbonisation by 2040 mitigates an additional 464 MtCO2e compared to decarbonisation by 2050, but poses more challenges for renewables upscaling and fossil capacity retirement.
Behavioral threat and appeasement signals take precedence over static colors in lizard contests
Authors: Abalos Javier , Pérez i de Lanuza Guillem , Bartolomé Alicia , Liehrmann Océane , Aubret Fabien , Font Enrique
Published: June 2024

The interplay between morphological (structures) and behavioral (acts) signals in contest assessment is still poorly understood. During contests, males of the common wall lizard (Podarcis muralis) display both morphological (i.e. static color patches) and behavioral (i.e. raised-body display, foot shakes) traits. We set out to evaluate the role of these putative signals in determining the outcome and intensity of contests by recording agonistic behavior in ten mesocosm enclosures. We find that contests are typically won by males with relatively more black coloration, which are also more aggressive. However, black coloration does not seem to play a role in rival assessment, and behavioral traits are stronger predictors of contest outcome and winner aggression than prior experience, morphology, and coloration. Contest intensity is mainly driven by resource- and self-assessment, with males probably using behavioral threat (raised-body displays) and de-escalation signals (foot shakes) to communicate their willingness to engage/persist in a fight. Our results agree with the view that agonistic signals used during contests are not associated with mutual evaluation of developmentally-fixed attributes, and instead animals monitor each other to ensure that their motivation is matched by their rival. We emphasize the importance of testing the effect of signals on receiver behavior and discuss that social recognition in territorial species may select receivers to neglect potential morphological signals conveying static information on sex, age, or intrinsic quality.
Clusterization-triggered emission of polysaccharide-based microclusters induced by the co-assembly of chitosan nanofibers and dialdehyde carboxymethyl cellulose
Authors: Horathal Pedige Madhurangika Panchabashini , Sugawara Akihide , Uyama Hiroshi
Published: June 2024

The emerging nonaromatic and nonconjugated clusteroluminogens possess the potential to overcome the common drawbacks of aromatic π-conjugated luminophores such as aggregation-caused quenching, synthetic complexity, bio-toxicity, and environmental pollution. Because of the presence of heteroatoms and carbonyl functional groups, some natural polymers show potential as clusteroluminogens. In this study, co-assembled microclusters were fabricated using chitosan nanofibers cross-linked with dialdehyde carboxymethyl cellulose. Microclusters form stable structures under aqueous conditions owing to the formation of cross-links via imine bonds, ionic interactions, and hydrogen bonds between the polysaccharides. These multiple interactions and the heteroatomic nature of both chitosan nanofibers and dialdehyde carboxymethyl cellulose enable the realization of clusterization-triggered emission by through-space conjugation. Microclusters exhibit stable fluorescence behavior under aqueous conditions. A composite gel of microclusters and poly(vinyl alcohol) (PVA-MCs) was synthesized using the freeze–thaw method to develop clusterization-triggered emission hydrogel. The microclusters and PVA-MCs gels demonstrated the detection ability toward specific metal ions such as Cu2+ and Fe3+, by the quenching of the emission. This strategy for the creation of clusterization-triggered emission microclusters based on cross-linked polysaccharides widens the scope of the practical and sustainable application of water-containing fluorescent materials in the fields of sensing and biomedicines.
Dialysis nurse demand in Europe: an estimated prediction based on modelling
Authors: Rostoker Guy , Tröster Sibille , Masià-Plana Afra , Ashworth Vicky , Perampaladas Kuhan
Published: June 2024

Background

To estimate the projections of supply and demand for dialysis nurses (DNs) over 5 years in four European countries (France, Italy, Spain and the UK).

Methods

This study modelled the nursing labour workforce across each jurisdiction by estimating the current nursing labour force, number of nursing graduates and the attrition rate.

Results

France currently has the greatest demand for DNs (51 325 patients on dialysis), followed by Italy, the UK and Spain with 40 661, 30 301 and 28 007 patients on dialysis, respectively. The number of in-centre haemodialysis (HD) patients is expected to increase in the four countries, while the number of patients on home HD (HHD) or on peritoneal dialysis (PD) is expected to increase in the UK. Currently Italy has the greatest proportion of DNs (2.6%), followed by France (2.1%), Spain (1.7%) and the UK (1.5%). Estimation of the dialysis nursing staff growth rate over 5 years showed that the UK has the greatest estimated growth rate (6%), followed by Italy (2%), France (2%) and Spain (1%).

Conclusions

Dialysis demand will increase in the coming years, which may exacerbate the DN shortage. Additionally, competencies and training requirements of DNs should be precisely defined. Finally, implementing and facilitating PD and HHD strategies would be helpful for patients, healthcare professionals and healthcare systems and can even help ease the DN shortage.
The classical drama as contested heritage in modern Greece: theatre productions from private initiatives to state projects in the 1930s
Authors: Balaskas Vasileios
Published: June 2024

Performing classical drama at ancient venues in interwar Greece reflected the socio-cultural context of the time. The development of archaeological tourism and the perception of classical monuments as heterotopic spaces created particular political and ideological needs. Until the mid-1930s, private theatre companies and individual artists reused classical venues such as the Odeon of Herodes Atticus and the theatre of Epidaurus to stage productions that gradually attracted local, national, and international attention. But by 1936, the National Theatre began exploiting the socio-political potential of ancient theatres and classical drama festivals and state-sponsored productions dominated the Greek theatrical stage. During this period, the claims of exclusivity on the part of the National Theatre and the National Conservatoire defined their competition with private companies and shaped the course of the revival of classical drama in twentieth-century Greece.
First experience with a vendor-neutral three-dimensional mapping system for cardiac magnetic resonance-guided electrophysiological procedures: a case report
Authors: De Zan Giulia , de Jongh Marjolein , Karloci Vjeran , Guglielmo Marco , van der Bilt Ivo
Published: June 2024

Background

Fluoroscopy-guided catheter ablation has become the gold standard for treatment of cardiac arrhythmias. High resolution electro-anatomical mapping systems have become fundamental to perform these procedures. Recently, interventional cardiac magnetic resonance (iCMR) has been proposed as an alternative for fluoroscopy to guide atrial flutter ablations. The clinical experience with iCMR and dedicated three-dimensional mapping systems is growing. NorthStar is currently the first available vendor-neutral mapping system.

Case summary

We performed a real-time CMR-guided cavotricuspid isthmus (CTI) catheter ablation (CA) on a 69-year-old man using a novel mapping system (NorthStar Mapping System, Imricor Medical Systems, MN, USA). Starting from the CMR imaging, a pre-rendered segmentation model was loaded on NorthStar and used to guide the catheters, display voltage and activation maps, show mapping and ablation points. NorthStar can also take full control of the CMR scanner (i.e. start/stop sequences for anatomical information, tissue characterization, and catheter visualization) and communicate with the recorder/stimulator system (Advantage-MR EP, Imricor Medical Systems, MN, USA). With comparable procedural time to standard fluoroscopy-guided CA, CTI bidirectional block was achieved, without any complication.

Discussion

Using the NorthStar Mapping System, we managed to achieve a successful CMR-guided CTI ablation without any complication. Its further use should be explored, especially in more complex arrhythmias where a substrate-guided ablation is critical, as it could significantly improve results in terms of arrhythmia recurrence.
The role of the universal sugar transport system components PtsI (EI) and PtsH (HPr) in Enterococcus faecium
Authors: Hallenbeck Michelle , Chua Michelle , Collins James
Published: June 2024

Vancomycin-resistant enterococci (VRE) pose a serious threat to public health because of their limited treatment options. Therefore, there is an increasing need to identify novel targets to develop new drugs. Here, we examined the roles of the universal PTS components, PtsI and PtsH, in Enterococcus faecium to determine their roles in carbon metabolism, biofilm formation, stress response, and the ability to compete in the gastrointestinal tract. Clean deletion of ptsHI resulted in a significant reduction in the ability to import and metabolize simple sugars, attenuated growth rate, reduced biofilm formation, and decreased competitive fitness both in vitro and in vivo. However, no significant difference in stress survival was observed when compared with the wild type. These results suggest that targeting universal or specific PTS may provide a novel treatment strategy by reducing the fitness of E. faecium.
Mortality of Patients With Inflammatory Bowel Disease in the Faroe Islands From 1966-2020
Authors: Nielsen Kári Rubek , Lophaven Søren Nymand , Midjord Jóngerð , Langholz Ebbe , Burisch Johan , Hammer Turid
Published: June 2024

Background

Increased mortality rates have been found in patients suffering from inflammatory bowel disease (IBD). The Faroe Islands have the highest occurrence of IBD, mainly ulcerative colitis (UC). This study investigated mortality of patients with IBD compared with the general Faroese population.

Methods

All patients diagnosed with IBD from 1966-2020 were included, as well as population mortality data. All-cause and cause-specific mortality in the IBD cohort was compared with the population by standardized incidence ratios (SIRs). Risk factors for death within the cohort were assessed by hazard ratios (HRs) using Cox regression.

Results

Overall mortality was not increased in patients with Crohn’s disease (CD; SIR 0.9; 95% confidence interval [CI], 0.56-1.35) or UC (SIR 1.0; 95% CI, 0.83-1.25). However, patients with UC had an elevated risk of dying from digestive diseases (SIR 4.3; 95% CI, 2.16-7.74). Patients with IBD had lower risk of death of cardiovascular diseases compared with the background population (SIR 0.7; 95% CI, 0.50-0.93). Risk factors for mortality included male gender, age at diagnosis, and use of steroids. Protective factors were use of 5-aminosalicylic acid (5-ASA), thiopurines, and biological treatment.

Conclusions

No increased risk of all-cause mortality in patients with CD or UC was found in this nationwide study compared with the entire Faroese population over more than 5 decades. The risk of death due to digestive diseases was, however, increased in patients with UC, while mortality risk of cardiovascular diseases was lower in patients with IBD.
Weight training and risk of all-cause, cardiovascular disease and cancer mortality among older adults
Authors: Shailendra Prathiyankara , Baldock Katherine L , Li Lok Sze Katrina , Gorzelitz Jessica , Matthews Charles E , Trabert Britton , Bennie Jason A , Boyle Terry
Published: June 2024

Background

While previous studies indicate muscle-strengthening exercises may reduce mortality risk, further research is needed to increase certainty of the evidence. We investigated overall and dose-response associations between weight training and the risks of all-cause, cardiovascular disease (CVD) and cancer mortality in a large cohort of older adults with long follow-up time and a large number of deaths. We also investigated the joint associations of weight training and aerobic exercise with mortality risk.

Methods

Weight training was assessed via self-report in 2004–05 in the National Institutes of Health-American Association of Retired Persons (NIH-AARP) Diet and Health Study (USA; n = 216 339), with follow-up to 2019. Cox regression estimated the hazard ratios (HR) and 95% confidence intervals (CI) for the associations between weight training and mortality, after adjusting for confounders including aerobic exercise.

Results

Around 25% of participants [mean age = 69.9 years (standard deviation = 5.4), 58% men] reported engaging in weight training over the past year, and there were 79 107 (37%) deaths. Engaging in any weight training (vs none) was associated with lower risks of all-cause (HR = 0.94; 95% CI = 0.93–0.96), CVD (HR = 0.92; 95% CI = 0.90–0.95) and cancer mortality (HR = 0.95; 95% CI = 0.92–0.98). More time spent in weight training was associated with only marginally greater risk reductions. Larger risk reductions were observed among women than men. Performing both aerobic exercise and weight training conferred the greatest mortality risk reduction; weight training was not associated with mortality risk among participants who did no aerobic exercise.

Conclusion

Performing any amount of weight training lowered mortality risk.
Metabolically-versatile Ca. Thiodiazotropha symbionts of the deep-sea lucinid clam Lucinoma kazani have the genetic potential to fix nitrogen
Authors: Ratinskaia Lina , Malavin Stas , Zvi-Kedem Tal , Vintila Simina , Kleiner Manuel , Rubin-Blum Maxim
Published: June 2024

Lucinid clams are one of the most diverse and widespread symbiont-bearing animal groups in both shallow and deep-sea chemosynthetic habitats. Lucinids harbor Ca. Thiodiazotropha symbionts that can oxidize inorganic and organic substrates such as hydrogen sulfide and formate to gain energy. The interplay between these key metabolic functions, nutrient uptake and biotic interactions in Ca. Thiodiazotropha is not fully understood. We collected Lucinoma kazani individuals from next to a deep-sea brine pool in the eastern Mediterranean Sea, at a depth of 1150 m and used Oxford Nanopore and Illumina sequencing to obtain high-quality genomes of their Ca. Thiodiazotropha gloverae symbiont. The genomes served as the basis for transcriptomic and proteomic analyses to characterize the in situ gene expression, metabolism and physiology of the symbionts. We found genes needed for N2 fixation in the deep-sea symbiont’s genome, which, to date, were only found in shallow-water Ca. Thiodiazotropha. However, we did not detect the expression of these genes and thus the potential role of nitrogen fixation in this symbiosis remains to be determined. We also found the high expression of carbon fixation and sulfur oxidation genes, which indicate chemolithoautotrophy as the key physiology of Ca. Thiodiazotropha. However, we also detected the expression of pathways for using methanol and formate as energy sources. Our findings highlight the key traits these microbes maintain to support the nutrition of their hosts and interact with them.
PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions
Authors: Chae Minseok , Kim Hyeongmin , Oh Hye Jun , Park Chan Hee , Suh Chaehyun , Yoon Heonjun , Youn Byeng D
Published: June 2024

The fault diagnosis of permanent magnet synchronous motor is of vital importance in industrial fields to ensure user safety and minimize economic losses from accidents. However, recent fault diagnosis methods, particularly the methods using deep learning, require a massive amount of labeled data, which may not be available in industrial fields. Few-shot learning has been recently applied in fault diagnosis for rotary machineries, to alleviate the data deficiency and/or to enable unseen fault diagnosis. However, two major obstacles still remain, specifically: (i) the limited ability of the models to be generalized for use under new operating conditions and (ii) insufficient discriminative features to precisely diagnose fault types. To address these limitations, this study proposes a Prototype-assisted dual-Contrastive learning with Depthwise separable Convolutional neural network (PCDC) for few-shot fault diagnosis for permanent magnet synchronous motors under new working conditions. Operation-robust fault features are extracted to reinforce generalization of PCDC under new operating conditions by extracting fault-induced amplitude and frequency modulation features and by eliminating the influence of operating conditions from the motor stator current signals. Prototype-assisted dual-contrastive learning is proposed to clearly distinguish the fault categories even when the fault features are similar to each other by learning both local- and global-similarity features, which increases the instance-discrimination ability while alleviating an overfitting issue. Experimental results show that the proposed PCDC outperforms the comparison models in few-shot fault diagnosis tasks under new operating conditions.
The informativeness of [C ii] line-intensity mapping as a probe of the H i content and metallicity of galaxies at the end of reionization
Authors: Horlaville Patrick , Chung Dongwoo T , Bond J Richard , Liang Lichen
Published: June 2024

Line-intensity mapping (LIM) experiments coming online now will survey fluctuations in aggregate emission in the [C ii] ionized carbon line from galaxies at the end of reionization. Experimental progress must be matched by theoretical reassessments of approaches to modelling and the information content of the signal. We present a new model for the halo–[C ii] connection, building upon results from the Feedback In Realistic Environments simulations suggesting that gas mass and metallicity most directly determine [C ii] luminosity. Applying our new model to an ensemble of peak-patch halo light-cones, we generate new predictions for the [C ii] LIM signal at z ≳ 6. We expect a baseline 4000-h LIM survey from the Cerro Chajnantor Atacama Telescope facility to have the fundamental sensitivity to detect the [C ii] power spectrum at a significance of 5σ at z ∼ 6, with an extended or successor Stage 2 experiment improving significance to 48σ at z ∼ 6 and achieving 11σ at z ∼ 7.5. Cross-correlation through stacking, simulated against a mock narrow-band Lyman-break galaxy survey, would yield a strong detection of the radial profile of cosmological [C ii] emission surrounding star-forming galaxies. We also analyse the role of a few of our model’s parameters through the pointwise relative entropy (PRE) of the distribution of [C ii] intensities. While the PRE signature of different model parameters can become degenerate or diminished after factoring in observational distortions, various parameters do imprint themselves differently on the one-point statistics of the intrinsic signal. Further work can pave the way to access this information and distinguish different sources of non-Gaussianity in the [C ii] LIM observation.
The SAMI Galaxy Survey: impact of star formation and AGN feedback processes on the ionized gas velocity dispersion
Authors: Oh Sree , Colless Matthew , Barsanti Stefania , Zovaro Henry R M , Croom Scott M , Yi Sukyoung K , Ristea Andrei , van de Sande Jesse , D’Eugenio Francesco , Bland-Hawthorn Joss , Bryant Julia J , Casura Sarah , Jeong Hyunjin , Sweet Sarah M , Zafar Tayyaba
Published: June 2024

We investigate the influence of star formation and instantaneous active galactic nuclei (AGN) feedback processes on the ionized gas velocity dispersion in a sample of 1285 emission-line galaxies with stellar masses $\log \, (M_*/\mathrm{ M}_{\odot }) \ge 9$ from the integral-field spectroscopy Sydney-AAO Multi-object Integral-field Galaxy Survey. We fit both narrow- and broad-emission-line components using aperture spectra integrated within one effective radius, while ensuring the elimination of velocity differences between the spectra of individual spaxels. Our analysis reveals that 386 (30 per cent) galaxies can be adequately described using a single-emission component while 356 (28 per cent) galaxies require two (broad and narrow) components. Galaxies characterized by high-mass, elevated star formation rate surface density, or type-2 AGN-like emissions tend to feature an additional broad-emission-line component, leading to their classification as double-component galaxies. We explore the correlations between M* and gas velocity dispersions, highlighting that the prominence of the broad component significantly contributes to elevating the gas velocity dispersion. Galaxies displaying AGN-like emission based on optical definitions show enhanced gas velocity dispersions. In star-forming galaxies, both stellar mass and star-formation rate surface density substantially contribute to the velocity dispersion of the narrow component. Increased star-forming activity appears to elevate the velocity dispersion of the narrow component. The broad component exhibits a weaker dependence on stellar mass and is primarily driven by galactic outflows. We suggest that strong star-forming activity leads to the formation of a broad-emission-line component, but the impact on inflating gas velocity dispersion is moderate. On the other hand, AGN-driven outflows appear to be a more important contributor to the elevated velocity dispersion of the ionized gas.
WISDOM project XX. – Strong shear tearing molecular clouds apart in NGC 524
Authors: Lu Anan , Haggard Daryl , Bureau Martin , Gensior Jindra , Jeffreson Sarah , Robert Carmelle , Williams Thomas G , Liang Fu-Heng , Choi Woorak , Davis Timothy A , Babic Sara , Boyce Hope , Cheung Benjamin , Drissen Laurent , Elford Jacob S , Liu Lijie , Martin Thomas , Rhea Carter , Rousseau-Nepton Laurie , Ruffa Ilaria
Published: June 2024

Early-type galaxies (ETGs) are known to harbour dense spheroids of stars but scarce star formation (SF). Approximately a quarter of these galaxies have rich molecular gas reservoirs yet do not form stars efficiently. We study here the ETG NGC 524, with strong shear suspected to result in a smooth molecular gas disc and low star-formation efficiency (SFE). We present new spatially resolved observations of the 12CO(2-1)-emitting cold molecular gas from the Atacama Large Millimeter/sub-millimeter Array (ALMA) and of the warm ionized-gas emission lines from SITELLE at the Canada–France–Hawaii Telescope. Although constrained by the resolution of the ALMA observations (≈37 pc), we identify only 52 GMCs with radii ranging from 30 to 140 pc, a low mean molecular gas mass surface density 〈Σgas〉 ≈ 125 M⊙ pc−2 and a high mean virial parameter 〈αobs, vir〉 ≈ 5.3. We measure spatially resolved molecular gas depletion times (τdep ≡ 1/SFE) with a spatial resolution of ≈100 pc within a galactocentric distance of 1.5 kpc. The global depletion time is ≈2.0 Gyr but τdep increases towards the galaxy centre, with a maximum τdep, max ≈ 5.2 Gyr. However, no pure H ii region is identified in NGC 524 using ionized-gas emission-line ratio diagnostics, so the τdep inferred are in fact lower limits. Measuring the GMC properties and dynamical states, we conclude that shear is the dominant mechanism shaping the molecular gas properties and regulating SF in NGC 524. This is supported by analogous analyses of the GMCs in a simulated ETG similar to NGC 524.
Imputation of missing photometric data and photometric redshift estimation for CSST
Authors: Luo Zhijian , Tang Zhirui , Chen Zhu , Fu Liping , Du Wei , Zhang Shaohua , Gong Yan , Shu Chenggang , Lu Junhao , Li Yicheng , Meng Xian-Min , Zhou Xingchen , Fan Zuhui
Published: June 2024

Accurate photometric redshift (photo-z) estimation requires support from multiband observational data. However, in the actual process of astronomical observations and data processing, some sources may have missing observational data in certain bands for various reasons. This could greatly affect the accuracy and reliability of photo-z estimation for these sources, and even render some estimation methods unusable. The same situation may exist for the upcoming Chinese Space Station Telescope (CSST). In this study, we employ a deep learning method called generative adversarial imputation networks (GAIN) to impute the missing photometric data in CSST, aiming to reduce the impact of data missing on photo-z estimation and improve estimation accuracy. Our results demonstrate that using the GAIN technique can effectively fill in the missing photometric data in CSST. Particularly, when the data missing rate is below 30 per cent, the imputation of photometric data exhibits high accuracy, with higher accuracy in the g, r, i, z, and y bands compared to the NUV and u bands. After filling in the missing values, the quality of photo-z estimation obtained by the widely used easy and accurate Zphot from Yale (eazy) software is notably enhanced. Evaluation metrics for assessing the quality of photo-z estimation, including the catastrophic outlier fraction (fout), the normalized median absolute deviation ($\rm {\sigma _{NMAD}}$), and the bias of photometric redshift (bias), all show some degree of improvement. Our research will help maximize the utilization of observational data and provide a new method for handling sample missing values for applications that require complete photometry data to produce results.
The contest between artificial management and natural environment determines the adaptive strategies of leaf morphogenesis in Sabina chinensis
Authors: Jia Jing , Qu Guojuan , Jia Peng , Li Dezhi , Yao Yifei
Published: June 2024

Sabina chinensis is a typically heteromorphic leaf evergreen tree worldwide with both ornamental and ecological value. However, the shaping mechanism of heteromorphic leaves of S. chinensis and its adaptability to environment are important factors determining its morphology. The morphological change of S. chinensis under different habitats (tree around) and treatments (light, pruning and nutrients) was investigated. Our findings suggested that the prickle leaves proportion was associated with low light intensity and soil nutrient scarcity. Stems and leaves are pruned together to form clusters of large prickle leaves, while only pruning leaves often form alternately growing small prickle leaves and scale leaves, and the length of the prickle leaves is between 0.5 cm and 1 cm. The gene expression of prickle leaves is higher than that of scale leaves under adverse environmental conditions, and the gene expression correlations between small prickle leaf and scale leaf were the highest. Homologous and heterologous mutants of gene structure in prickle leaves were larger than those in scale leaves. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway showed that phenylpropanone and flavonoid biosynthesis were common enrichment pathways, and that the enrichment genes were mainly related to metabolism, genetic information processing and organismal systems. Therefore, we concluded that the occurrence of the heteromorphic leaf phenomenon was related to the changes in photosynthesis, mechanical damage and nutrient supplementation. The organic matter in the S. chinensis prickle leaves was reduced under environmental stresses, and it will be allocated to the expression of prickle leaf or protective cuticles formation.
Mapping-Based Localization of Blackleg-Resistant Candidate Genes of Chinese Cabbage (Brassica rapa)
Authors: Tian Min , Zhang Lugang , Li Ru , Zhang Huamin
Published: June 2024

Recently, blackleg disease has seriously impacted the cultivation and development of Brassica crops. In this study, we conducted mapping-based localization of blackleg-resistant candidate genes in Chinese cabbage. Through phenotype evaluation, Chinese cabbage materials 15S414 and 15S420 were selected as blackleg-resistant and blackleg-susceptible parents, respectively. Inheritance pattern analysis suggested that the dominant major genes mainly determined the blackleg resistance of Chinese cabbage. Upon bulked segregant analysis, the blackleg-resistant candidate genes were initially located within a 4.3-Mb interval on chromosome A06. Through construction of the genetic linkage map, blackleg-resistant candidate genes were further limited to a region of 160 kb containing seven resistance-related genes. Coding sequence variation analysis revealed that all seven resistance-related genes displayed various degrees of single nucleotide polymorphism variations between the parent materials 15S414 and 15S420.
Skeletal muscle metabolic dysfunction with circulating carboxymethyl‐lysine in dietary food additive‐induced leaky gut
Authors: Kodani Hinako , Aoi Wataru , Hirata Mikiko , Takami Maki , Kobayashi Yukiko , Kuwahata Masashi
Published: June 2024

Impaired intestinal permeability induces systemic inflammation and metabolic disturbance. The effect of a leaky gut on metabolism in skeletal muscle, a major nutrient consumer, remains unclear. In this study, we aimed to investigate the glucose metabolic function of the whole body and skeletal muscles in a mouse model of diet‐induced intestinal barrier dysfunction. At Week 2, we observed higher intestinal permeability in mice fed a titanium dioxide (TiO2)‐containing diet than that of mice fed a normal control diet. Subsequently, systemic glucose and insulin tolerance were found to be impaired. In the skeletal muscle, glucose uptake and phosphorylation levels in insulin signaling were lower in the TiO2 group than those in the control group. Additionally, the levels of pro‐inflammatory factors were higher in TiO2‐fed mice than those in the control group. We observed higher carboxymethyl‐lysin (CML) levels in the plasma and intestines of TiO2‐fed mice and lower insulin‐dependent glucose uptake in CML‐treated cultured myotubes than those in the controls. Finally, soluble dietary fiber supplementation improved glucose and insulin intolerance, suppressed plasma CML, and improved intestinal barrier function. These results suggest that an impaired intestinal barrier leads to systemic glucose intolerance, which is associated with glucose metabolism dysfunction in the skeletal muscles due to circulating CML derived from the intestine. This study highlights that the intestinal condition regulates muscle and systemic metabolic health.
Hepatocyte‐specific Selenoi deficiency predisposes mice to hepatic steatosis and obesity
Authors: Huang Xin , Li Tong , Yang Shi‐hui , Zhu Kong‐di , Wang Lian‐shun , Dong Yu‐lan , Huang Jia‐qiang
Published: June 2024

Selenoprotein I (Selenoi) is highly expressed in liver and plays a key role in lipid metabolism as a phosphatidylethanolamine (PE) synthase. However, the precise function of Selenoi in the liver remains elusive. In the study, we generated hepatocyte‐specific Selenoi conditional knockout (cKO) mice on a high‐fat diet to identify the physiological function of Selenoi. The cKO group exhibited a significant increase in body weight, with a 15.6% and 13.7% increase in fat accumulation in white adipose tissue (WAT) and the liver, respectively. Downregulation of the lipolysis‐related protein (p‐Hsl) and upregulation of the adipogenesis‐related protein (Fasn) were observed in the liver of cKO mice. The cKO group also showed decreased oxygen consumption (VO2), carbon dioxide production (VCO2), and energy expenditure (p < .05). Moreover, various metabolites of the steroid hormone synthesis pathway were affected in the liver of cKO mice. A potential cascade of Selenoi‐phosphatidylethanolamine‐steroid hormone synthesis might serve as a core mechanism that links hepatocyte‐specific Selenoi cKO to biochemical and molecular reactions. In conclusion, we revealed that Selenoi inhibits body fat accumulation and hepatic steatosis and elevates energy consumption; this protein could also be considered a therapeutic target for such related diseases.
Effect of Obesity on Short- and Long-Term Complications After Ankle Fracture Fixation
Authors: Janghala Abhinav , Niknam Kian , Freshman Ryan , Cogan Charles J. , Zhang Alan L. , Lansdown Drew
Published: June 2024

OBJECTIVES:

This study evaluated the relationship between obesity and postoperative complications in patients undergoing ankle open reduction internal fixation (ORIF).

METHODS:

Design:

Retrospective cohort study.

Setting:

PearlDiver-Mariner All-Payor Database.

Patient Selection Criteria:

Patients who underwent ankle ORIF from 2010 to 2021 and had a minimum of 2 years of follow-up were identified using Current Procedural Terminology, ICD-9, and ICD-10 codes.

Outcome Measures and Outcomes:

Patients were stratified by body mass index into nonobese, obese, morbidly obese, and super-obese groups. Complication rates, including 90-day readmissions, infection, and post-traumatic osteoarthritis, were compared between obesity groups. Patients were additionally compared with a 1:1 matched analysis that controlled for demographics and comorbidities.

RESULTS:

A total of 160,415 patients undergoing ankle ORIF from 2010 to 2021 were identified. The cohort consisted mostly of females (64.8%) and the average age was 52.5 (SD 18.4) years. There were higher rates of 90-day readmissions, UTIs, DVT/PE, pneumonia, superficial infections, and acute kidney injuries in patients with increasing levels of obesity (P < 0.001). There were increased odds of nonunion and post-traumatic arthritis in the matched analysis at 2 years in the obesity group [OR: 2.36, 95% confidence interval (CI): 1.68–3.31, P < 0.001; OR: 2.18, 95% CI: 1.77–2.68, P < 0.001, respectively].

CONCLUSIONS:

Postoperative medical complication rates in patients undergoing ankle ORIF, including infection, are higher in obese patients, even in the 1:1 matched analysis that controlled for demographic and comorbidity factors. Rates of nonunion and post-traumatic arthritis were higher in obese patients, as well. As such, it is important for surgeons to provide appropriate education regarding the risks after ankle ORIF in patients with obesity.

LEVEL OF EVIDENCE:

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.