bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi visual images fusion approach for metro tunnel defects based on saliency optimization of pixel level defect image features
Authors: Qiu Dongwei , Zhu Zhengkun , Wang Xingyu , Ding Keliang , Wang Zhaowei , Shi Yida , Niu Wenyue , Wan Shanshan 
Published: December 2023

Abstract
The multi-vision defect sensing system, lining composed primarily of IRT and RGB cameras, allows for automatic identification and extraction of small surface ailments, greatly enhancing detection efficiency. However, the presence of various issues like train vibration, inconsistent lighting, fluctuations in temperature and humidity leads to the images showing inadequate uniformity in illumination, blurriness, and a decrease in the level of detail. The above issues have led to unsatisfactory fusion processing results for multiple visual images and increased missed detection rates. To address the above-mentioned issue, multi visual images fusion approach for subway tunnel defects based on saliency optimization of pixel level defect image features is proposed. The approach initially analyses the train’s motion status and image blurring conditions. It then eliminates the dynamic blurring in the image. Secondly, Image weights are allocated based on the uniformity of visible light image illumination in the tunnel, as well as real-time temperature and humidity. Finally, image feature extraction and fusion are performed by a U-Net network that integrates channel attention mechanisms. The entire experiment was carried out on a dataset consisting of leakage data from the tunnel lining of Shanghai Metro and tunnel defect data from Beijing Metro. The experimental results demonstrate that this approach improves the image pixel value variation rate by 39.7%, enhances the edge quality by 23%, and outperforms similar approach in terms of average gradient, gradient quality, and sum of difference correlation with improvements of 15.9%, 7.3%, and 26.6% respectively.
Shortcut-based generation of transmon-magnon entangled states
Authors: Yan Run-Ying , Feng Zhi-Bo 
Published: December 2023

Abstract
Optimized generation of entangled states between solid-state qubits is of fundamental significance to quantum information science and technology. Here, we develop an effective scheme to fast and robustly create the entangled states in a hybrid system containing a superconducting transmon qubit and a spin magnon of yttrium iron garnet. The transmon qubit and the magnon system are coupled via a microwave cavity field. Within the framework of invariant-based shortcuts to adiabaticity, the transmon-magnon entangled states can be rapidly induced by engineering the Rabi couplings between the cavity mode and transmon (magnon) with constant amplitudes. Compared with a non-shortcut counterpart, the shortcut-based operations of interest not only considerably shorten the generation time, but also greatly mitigate the decoherence effects. Furthermore, the fast dynamics is well insensitive to the control deviation of Rabi couplings. Thus our approach could lead to advances in information processing and state engineering with composite systems.
Chaos control and exceptional point engineering via dissipative optomechanical coupling
Authors: Mbokop Tchounda S R , Djorwé P , Tchakui M V , Nana Engo S G 
Published: December 2023

Abstract
We study a dissipative mechanically coupled optomechanical system that hosts gain and loss. The gain (loss) is engineered by driving a purely dispersive optomechanical cavity with a blue-detuned (red-detuned) electromagnetic field. By taking into account the dissipative coupling, the Exceptional Point (EP), which is a non-Hermitain degeneracy, occurs at low threshold driving strength compared to what happens in a solely dispersive system. In the linear regime, the dissipative term induces strong coupling between the mechanical resonators, leading to an increase of energy exchange. For strong enough driving, the system enters into a nonlinear regime where a weak coupling regime takes place. In this regime, the mechanical resonators exhibit chaotic beats like-behaviour in the purely dispersive system. By switching on the dissipative coupling, the complex dynamics is switched off, and this restores regular dynamics into the system. This work suggests a way to probe quantum phenomena in dissipative systems at low-threshold driving strength. It also provides a new control scheme of complex dynamics in optomechanics and related fields.
Experimental study on the influence of gas flow rate on the plasma plume of N-APPJ
Authors: Zhang Xingyu , Chen Lei , Guan Tingyu , Wang Baohuai , Wang Shiang , Yang Huiyu , Song Peng 
Published: December 2023

Abstract
In order to explore the effect of the gas flow rate on the plasma plume, a quantitative study of the effect of the gas flow rate on the atmospheric pressure non-equilibrium plasma plume length was carried out using two different electrode structures. The results show that plasma plume length of up to 80.2 mm can be achieved in atmospheric condition outside the tube. The plasma plume length of the indented tube is smaller than that of the straight tube for the same argon gas flow rate, discharge voltage and axial distance between electrodes, and the effect of the argon flow rate on the plasma plume length is more obvious for the straight tube than for the indented tube. The plasma plume length of the straight-through tube tends to increase and then decrease as the argon flow rate increases, and the variation of the plasma plume length at an axial electrode distance of 0 mm is significantly greater than that of other electrode distance conditions. At the same argon flow rate, the maximum plasma plume length tends to increase and then decrease with the argon flow rate and increases with the axial distance of the electrodes.
First-principles calculations for heterostructure studies Involving CsPbI3 perovskite and IV-VI semiconductors
Authors: Lin Zhonghai , Sun Chengshuai , Liu Min , Zeng Ruiyang , Liu Mengdi , Fan Yingcai , Wu Qingyu , Wei Guangfen , Wang Pingjian , Qiao Zhuhui 
Published: December 2023

Abstract
The PbX(X = S, Se, Te)/CsPbI3 heterostructure, formed by lead chalcogenides and halide perovskite CsPbI3, holds promise for optoelectronic devices. Utilizing first-principles calculations with VASP software, this study investigates its structural, electronic, and optical properties. With confirmed appropriate lattice mismatch rates (4.6%, 2.4%, 3.8%) and similar octahedral frameworks, constructing the PbX/CsPbI3 heterostructure is feasible. Calculations of electronic properties reveal mechanisms to improve optical performance. The type-I band alignment at the PbX/CsPbI3 interface(−5.27 eV < PbX < −3.73 eV, −5.34 eV < CsPbI3 < −3.57 eV) reduces electron and hole recombination losses, enhancing energy transfer efficiency. This arrangement facilitates electron and hole transfer from CsPbI3 to PbX, supported by charge density differences. Among the three heterostructures, PbSe/CsPbI3 demonstrates superior charge transfer capabilities, with more pronounced electron clouds. The PbX/CsPbI3 heterostructure extends CsPbI3’s light absorption into the near-infrared via PbX influence. Spectral comparison reveals PbTe/CsPbI3 > PbSe/CsPbI3 > PbS/CsPbI3, with PbSe/CsPbI3 excelling in stability, charge density transfer, and optical properties. Furthermore, under the premise of ensuring stability, different optical absorption characteristics can be achieved by adjusting the composition of Se atoms in PbSe/CsPbI3. This work provides a theoretical basis for the physical mechanisms behind enhancing the performance of PbX/CsPbI3 heterostructures as visible-to-near-infrared optoelectronic materials. It offers a promising avenue for the design of high-performance visible-to-near-infrared optoelectronic materials.
Thermohydrodynamic performance of convergent slider bearings using different placement of square micro-textures and slip boundary
Authors: Singh Sartaj , Kango Saurabh 
Published: December 2023

Abstract
The present numerical study investigates the thermohydrodynamic performance of inclined/convergent slider bearings using different placing of textures and slip region. Mass-conserving Elrod cavitation model with slip boundary is used to analyze the static performance variables. Due to better fluid retain-ability, Square-shaped micro-textures have been used. The slip coefficient for the slip boundary on the bearing surface is taken as 9 μm. As reported previously for convergent bearings, the optimal convergence ratio (K) value for maximum bearing performance lies between 1 and 1.4. Therefore, in the present paper, the value of K is taken as 1.2. It was observed that the location of micro-textures and slip boundary greatly influence the bearing performance. When textures and slip regions are placed near the inlet region of the bearing, with a reduction in shear stress and the availability of the lubricant near the inlet, the resistance to the lubricant flow reduces, increasing lubricant intake. Further, for partial slip bearing, an abrupt obstruction to the lubricant flow occurs at the location of the slip/no-slip interface, which increases the hydrodynamic pressure and improves the load-bearing capacity of the bearing. Moreover, due to less friction observed, various slip-textured bearings showed a reduction in the average lubricant temperature compared to conventional bearing. In the end, an updated combined slip-textured bearing surface is presented for maximum bearing performance in terms of different performance variables. The findings of the current work would be helpful for researchers in selecting the optimum slip-textured surface for inclined slider bearings under the current operating conditions.
Reflection of quasi plasma wave in photo-piezo semiconductor medium with distinct higher order fractional derivative two temperature models
Authors: Gupta Vipin , Barak M S , Ahmad Hijaz 
Published: December 2023

Abstract
This article investigates the reflection of thermo-photo-piezo-elastic plane waves from a homogeneous, orthotropic, and piezo semiconductor medium during the photo-thermal process. A novel higher-order fractional dual-phase lag hyperbolic two-temperature model is employed to tackle this study. The analytical solution to the problem in the

x
z

plane reveals the existence of five interconnected waves. The derivation of formulas for reflection coefficients and their corresponding energy ratios is performed for an incident quasi-plasma wave. Numerical computations determine the energy ratios for different angles of incidence. These energy ratios are visually represented in graphs, demonstrating the influence of higher-order parameters, two-temperature effects, fractional order derivatives, and various heat conduction models.
Anomalous sea temperatures can impair coral reef fish recruitment
Authors: Foo Shawna A , Carlson Rachel R , Teague Christopher , Asner Gregory P 
Published: December 2023

Abstract
Understanding how temperature affects coral reef fish recruitment success is crucial for assessing impacts of ocean warming on coral reef resilience. We utilized a long-term fish survey dataset along the west coast of Hawai‘i Island to investigate the role of sea surface temperature (SST) in influencing recruitment timing and density. The dataset consisted of 17 years of surveys, with 25 sites annually surveyed in the months of May, July, September and November. We found that peak recruitment, i.e. the maximum number of recruits recorded across all surveys per year, usually occurred during July surveys. For sites where peak recruitment for that year occurred outside July, there were significantly fewer fish recruits than for sites whose peak recruitment occurred in July. In addition, the timing of peak recruitment is influenced by anomalously warm or cool years prior to spawning. The decrease in recruit density outside these times is likely influenced by recruits being exposed to temperatures warmer and cooler than their optimum. Our results show that climate variability is having an impact on the timing of peak recruitment, creating a mismatch between the thermal optimum of developing recruits and the thermal environment they develop in, negatively affecting recruit density in critical coral reef habitats. Altered and reduced recruitment has the potential to disrupt reef community structure and long-term fisheries sustainability in Hawai‘i, with important management implications for coral reefs in the future.
The vital role of sulfuric acid in iodine oxoacids nucleation: impacts of urban pollutants on marine atmosphere
Authors: Zu Haotian , Zhang Shaobing , Liu Ling , Zhang Xiuhui 
Published: December 2023

Abstract
The nucleation of iodic acid (HIO3) and iodous acid (HIO2) play a significant role in marine new particle formation (NPF) events. However, the inability to explain intensive NPF bursts in polluted coasts indicates the participation of potential precursors. Herein, we identified a novel nucleation mechanism of HIO3–HIO2 system enhanced by the urban pollutant sulfuric acid (H2SO4). We found that H2SO4 could largely enhance the cluster formation rates (J, cm−3 s−1) of HIO3–HIO2 system, especially in high [H2SO4] regions near H2SO4 emission sources. The enhanced J of HIO3–HIO2–H2SO4 system performs better match than that of HIO3–HIO2 system with the observational rates of polluted coasts and polar regions, such as Zhejiang and Marambio. Moreover, the H2SO4-involved cluster formation is realized without Gibbs free energy barrier and dominate broadly in marine regions with rich H2SO4 and scarce iodine concentrations. These findings may help to explain some missing fluxes of marine new particles and emphasize the impact of urban components on marine nucleation processes.
COVID-19, Bereavement and Political Psychotherapy: A Critical Social Work Perspective
Authors: Barak Adi 
Published: December 2023

Abstract
In the article, the author examines the role of critical social work in regard to the COVID-19 pandemic with reference to theory, practice and pedagogy. The author argues that the COVID-19 crisis was not only a crisis of public health but also an ideological crisis. In this context, the author explains that a combination of political theory and psychotherapy theory is necessary when treating individuals for whom the political–ideological space is central to their experience of distress. Such an integration, which is essential to critical social work, can exist when political theory and psychotherapy theory are treated as complementary theories that illuminate the human experience from different angles. Bereavement due to COVID-19-related loss is examined as a theoretical case study to explore the topics of the article alongside the concept of political psychotherapy.
Continued dysfunction of capillary pericytes promotes no-reflow after experimental stroke in vivo
Authors: Shrouder Joshua James , Calandra Gian Marco , Filser Severin , Varga Daniel Peter , Besson-Girard Simon , Mamrak Uta , Dorok Maximilian , Bulut-Impraim Buket , Seker Fatma Burcu , Gesierich Benno , Laredo Fabio , Wehn Antonia Clarissa , Khalin Igor , Bayer Patrick , Liesz Arthur , Gokce Ozgun , Plesnila Nikolaus 
Published: December 2023

Abstract
Incomplete reperfusion of the microvasculature (‘no-reflow’) after ischaemic stroke damages salvageable brain tissue. Previous ex vivo studies suggest pericytes are vulnerable to ischaemia and may exacerbate no-reflow, but the viability of pericytes and their association with no-reflow remains under-explored in vivo.
Using longitudinal in vivo two-photon single-cell imaging over 7 days, we showed that 87% of pericytes constrict during cerebral ischaemia and remain constricted post reperfusion, and 50% of the pericyte population are acutely damaged. Moreover, we revealed ischaemic pericytes to be fundamentally implicated in capillary no-reflow by limiting and arresting blood flow within the first 24 h post stroke. Despite sustaining acute membrane damage, we observed that over half of all cortical pericytes survived ischaemia and responded to vasoactive stimuli, upregulated unique transcriptomic profiles and replicated. Finally, we demonstrated the delayed recovery of capillary diameter by ischaemic pericytes after reperfusion predicted vessel reconstriction in the subacute phase of stroke.
Cumulatively, these findings demonstrate that surviving cortical pericytes remain both viable and promising therapeutic targets to counteract no-reflow after ischaemic stroke.
Competitors alter selection on alpine plants exposed to experimental climate change
Authors: Nomoto Hanna , Fior Simone , Alexander Jake 
Published: December 2023

Abstract
Investigating how climate change alters selection regimes is a crucial step toward understanding the potential of populations to evolve in the face of changing conditions. Previous studies have mainly focused on understanding how changing climate directly influences selection, while the role of species’ interactions has received little attention. Here, we used a transplant experiment along an elevation gradient to estimate how climate warming and competitive interactions lead to shifts in directional phenotypic selection on morphology and phenology of four alpine plants. We found that warming generally imposed novel selection, with the largest shifts in regimes acting on specific leaf area and flowering time across species. Competitors instead weakened the selection acting on traits that was imposed directly by warming. Weakened or absent selection in the presence of competitors was largely associated with the suppression of absolute means and variation of fitness. Our results suggest that although climate change can impose strong selection, competitive interactions within communities might act to limit selection and thereby stymie evolutionary responses in alpine plants facing climate change.
An experimental test of the evolutionary consequences of sympatry in Drosophila subquinaria
Authors: Jarvis Will M C , Arthur Nicholas J , Rundle Howard D , Dyer Kelly A 
Published: December 2023

Abstract
Prezygotic isolation is often stronger between sympatric as opposed to allopatric taxa, but the underlying cause can be difficult to infer from comparative studies alone. Experimental evolution, where evolutionary responses to treatments manipulating the presence/absence of heterospecific individuals are tracked, can provide a powerful complementary approach. We used experimental evolution to investigate a naturally occurring pattern of reproductive character displacement in the mushroom-feeding fly, Drosophila subquinaria. In nature, female D. subquinaria from populations sympatric with the closely related Drosophila recens discriminate more strongly against heterospecific males than do females from allopatric populations. Starting with 16 replicate allopatric populations of D. subquinaria, we manipulated the presence/absence of D. recens during mating (experimental sympatry vs. control) and, when present, we allowed hybrids to live or kill them each generation. Across 12 generations, heterospecific offspring production from no-choice mating trials between D. subquinaria females and D. recens males declined in both experimental sympatry treatments relative to the control, suggesting increased sexual isolation. Male cuticular hydrocarbon profiles also evolved, but only in the hybrids killed treatment. Our results strongly imply that the existing reproductive character displacement in wild D. subquinaria populations was an evolutionary response to selection arising from secondary contact with D. recens.
ProGlycProt V3.0: updated insights into prokaryotic glycoproteins and their glycosyltransferases
Authors: Janhvi Shreya , Saini Shikha , Singh Vaidhvi , Sharma Tarun , Rao Alka 
Published: December 2023

Abstract
ProGlycProt is a comprehensive database of experimentally validated information about protein glycosylation in prokaryotes, including the glycoproteins, glycosyltransferases, and their accessory enzymes. The first release of ProGlycProt featured experimentally validated information on glycoproteins only. For the second release in 2019, the size and scope of the database were expanded twofold, and experimental data on cognate glycosyltransferases and their accessory proteins was incorporated. The growing research and technology interest in microbial glycoproteins and their enzymes is evident from the steady rise in academic publications and patents in this area. Accordingly, the third update comprises a new section on patents related to glycosylation methods, novel glycosyltransferases, and technologies developed therefrom. The structure gallery is reorganized, wherein the number and quality of the models are upgraded with the help of AlphaFold2. Over the years, the influx of experimental proteomics data into public repositories like PRIDE has surged. Harnessing this legacy data for in-silico glycoprotein identification is a smart approach. Version 3.0 adds 45 N-glycoprotein entries annotated from MS datasets available on PRIDE and reviewed by independent research groups. With a 67% rise in entries corresponding to 119 genera of prokaryotes, the ProGlycProt continues to be the exclusive database of experimentally validated comprehensive information about protein glycosylation in prokaryotes.
Factors influencing the technical efficiency of diabetes care at primary care level in Mexico
Authors: Chivardi Carlos , Zamudio Sosa Alejandro 
Published: December 2023

Abstract
Diabetes prevalence is rising globally, especially in low- and middle-income countries like Mexico, posing challenges for healthcare systems that require efficient primary care to manage the disease. However, healthcare efficiency is influenced by factors beyond decision-makers, including socioeconomic and political conditions. This study aims to evaluate the technical efficiency of primary healthcare for diabetes patients in Mexico over a 12-year period and explore the impact of contextual variables on efficiency. A longitudinal analysis was conducted using administrative and socio-demographic data from 242 health jurisdictions between 2009 and 2020. Data envelopment analysis with bootstrapping and output orientation was used to measure the technical efficiency; health resources in infrastructure and human resources were used as inputs. As outcome, the number of patients receiving treatment for diabetes and the number of patients with controlled diabetes were considered. Machine learning algorithms were employed to analyse multiple factors affecting the provision of diabetes health services and assess heterogeneity and trends in efficiency across different health jurisdictions. The average technical efficiency in primary healthcare for diabetes patients was 0.44 (CI: 0.41–0.46) in 2009, reaching a peak of 0.71 (CI: 0.69–0.72) in 2016, and moderately declining to 0.60 (CI: 0.57–0.62) in 2020; these differences were statistically significant. The random forest analysis identified the marginalization index, primary healthcare coverage, proportion of indigenous population and demand for health services as the most influential variables in predicting efficiency levels. This research underscores the crucial need for the formulation of targeted public policies aimed at extending the scope of primary healthcare services, with a particular focus on addressing the unique challenges faced by marginalized and indigenous populations. According to our results, it is necessary that medical care management adjust to the specific demands and needs of these populations to guarantee equitable care in Mexico.