bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conditional reciprocal stressor–strain effects in university students: a cross-lagged panel study in Germany
Authors: Reichel Jennifer L. , Mülder Lina M. , Dietz Pavel , Heller Sebastian , Werner Antonia M. , Schäfer Markus , Schwab Lisa , Letzel Stephan , Rigotti Thomas 
Published: March 2024

AbstractUniversity students worldwide are facing increasing mental health challenges. Traditional stress models, like the Job/Study Demand-Resources Model, link stressors directly to strain. Yet, recent studies suggest the influence of strain on stressors may be even stronger. Our research explored these reciprocal dynamics among university students, considering social support and mindfulness as potential moderators. We conducted a two-wave panel study with 264 university students. We ran separate cross-lagged panel structural equation analyses for three key health outcomes—emotional exhaustion, depression, and well-being—each paired with perceived study stressors, specifically workload and work complexity. Findings revealed significant stressor and strain effects, with social support notably moderating the impact of emotional exhaustion on workload. These insights challenge traditional stress theories and underscore the importance of mental health support and effective stress management strategies for students, emphasizing the need for proactive mental health initiatives in academic environments.
A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks
Authors: Bérchez-Moreno Francisco , Durán-Rosal Antonio M. , Hervás Martínez César , Gutiérrez Pedro A. , Fernández Juan C. 
Published: March 2024

AbstractArtificial Neural Networks (ANNs) have been used in a multitude of real-world applications given their predictive capabilities, and algorithms based on gradient descent, such as Backpropagation (BP) and variants, are usually considered for their optimisation. However, these algorithms have been shown to get stuck at local optima, and they require a cautious design of the architecture of the model. This paper proposes a novel memetic training method for simultaneously learning the ANNs structure and weights based on the Coral Reef Optimisation algorithms (CROs), a global-search metaheuristic based on corals’ biology and coral reef formation. Three versions based on the original CRO combined with a Local Search procedure are developed: (1) the basic one, called Memetic CRO; (2) a statistically guided version called Memetic SCRO (M-SCRO) that adjusts the algorithm parameters based on the population fitness; (3) and, finally, an improved Dynamic Statistically-driven version called Memetic Dynamic SCRO (M-DSCRO). M-DSCRO is designed with the idea of improving the M-SCRO version in the evolutionary process, evaluating whether the fitness distribution of the population of ANNs is normal to automatically decide the statistic to be used for assigning the algorithm parameters. Furthermore, all algorithms are adapted to the design of ANNs by means of the most suitable operators. The performance of the different algorithms is evaluated with 40 classification datasets, showing that the proposed M-DSCRO algorithm outperforms the other two versions on most of the datasets. In the final analysis, M-DSCRO is compared against four state-of-the-art methods, demonstrating its superior efficacy in terms of overall accuracy and minority class performance.
A novel heterogeneous biocatalyst based on graphene oxide for synthesis of pyran derivatives
Authors: Amiri-Zirtol Leila , Khabnadideh Soghra 
Published: March 2024

AbstractGraphene oxide modified with tryptophan (GO-Trp) has been introduced as a new heterogeneous acid-base biocatalyst for synthesis of some pyran derivatives. GO was prepared according to the Hummer’s method and tryptophan as a low-cost green amino acid is covalently bonded to the surface of GO without any organic or toxic reagents in a green way. The new catalyst was characterized by different spectroscopic methods such as Fourier transform infrared, X-ray diffraction (XRD), etc. …. The results of XRD patterns showed an increase in the distance between the GO plates in the presence of the modifying agent which specifies the presence of amino acid between the GO layers. XPS analysis also confirmed successful modification through the presence of C–N bonds in the structure of the catalyst. In addition, improvements in thermal stability and changes in the morphology of the samples were observed using thermogravimetric analysis and Field emission scanning electron microscopy analysis respectively. Evaluation of the catalyst performance in the synthesis of some benzo[b]pyran and pyrano[3,2-c] chromene derivatives showed presentable results. Seven benzo[b]pyran (4a–4g) and five pyrano[3,2-c] chromene (4h–4l) derivatives were synthesized. GO-Trp as a safe, natural and efficient catalyst, could be reused up to 5 runs for synthesis of pyran derivatives without any significant decrease in its potency. High purity of the products and desirable yields are other points that make the present work more attractive.
1,2,3-triazole and chiral Schiff base hybrids as potential anticancer agents: DFT, molecular docking and ADME studies
Authors: Belay Yonas , Muller Alfred , Mokoena Fanikie S. , Adeyinka Adedapo S. , Motadi Lesetja R. , Oyebamiji Abel K. 
Published: March 2024

AbstractA series of novel 1,2,3-triazole and chiral Schiff base hybrids 2–6 were synthesized by Schiff base condensation reaction from pre-prepared parent component of the hybrids (1,2,3-triazole 1) and series of primary chiral amines and their chemical structure were confirmed using NMR and FTIR spectroscopies, and CHN elemental analysis. Compounds 1–6 were evaluated for their anticancer activity against two cancer PC3 (prostate) and A375 (skin) and MRC-5 (healthy) cell lines by Almar Blue assay method. The compounds exhibited significant cytotoxicity against the tested cancer cell lines. Among the tested compounds 3 and 6 showed very good activity for the inhibition of the cancer cell lines and low toxicity for the healthy cell lines. All the compounds exhibited high binding affinity for Androgen receptor modulators (PDB ID: 5t8e) and Human MIA (PDB ID: 1i1j) inhibitors compared to the reference anticancer drug (cisplatin). Structure activity relationships (SARs) of the tested compounds is in good agreement with DFT and molecular docking studies. The compounds exhibited desirable physicochemical properties for drug likeness.
A theoretical model for predicting the startup performance of pumps as turbines
Authors: Zhang Yu-Liang , Zhao Yan-Juan , Zhu Zu-Chao 
Published: March 2024

AbstractUsing the unsteady Bernoulli equation for the piping system and the angular momentum equation for the rotor, derives here a theoretical model to predict the startup performance of a pump as turbine (PAT). This model is effective for predicting the instantaneous evolution characteristics of the main performance parameters of PAT during startup, and these changings are initially faster and then slowly as a whole. The effect of the rotor moment of inertia and the final stabilized rotational speed of PAT on evolution characteristics of parameters is opposite. The rotational speed, head, hydraulic power, and conversion efficiency show a upward rising trend with the startup time, whereas the flow rate and hydraulic head loss display a downward trend.
Strength and microstructural properties of silt soil cured by lime-activated fly ash-GGBS under different curing temperatures
Authors: Gong Shunmei , Feng Songbao , Wang Shiquan , Yu Lemei , Chen Yuanyuan , Xu Qiang 
Published: March 2024

AbstractTo reveal the mechanism of the influence of the curing temperature on the strength of lime activated fly ash-GGBS cured silt soil, the curing of dredged silt was carried out by using fly ash and GGBS as the curing agent and lime as the activator. Unconfined compressive strength (UCS) experiments were carried out, and the micro-analysis of the cured silt was carried out by experimental methods including scanning electron microscope (SEM) tests, X-ray diffraction (XRD), etc. to reveal the mechanism of the curing temperature on the dredged silt. According to the test results, the hydration reaction and pozzolanic reaction between lime-fly ash-GGBS and silt soil were promoted with the increase of the curing temperature. when the curing temperature of the sample reached 40 ℃, a large amount of gel products such as hydrated calcium aluminate (C–A–H) and hydrated calcium silicate (C–S–H) were generated, which enhanced the bonding force between soil particles and filled up the inter-particle pore space, thereby improving the UCS of the sample. The results of SEM confirmed that C–A–H and C–S–H were the main substances for the construction of cured silt skeleton. C–S–H and C–A–H were detected by XRD. The results of the study fill the gap in the effect of curing temperature on the direction of lime-activated fly ash-GGBS cured silt soil.
In-situ observations reveal weak hygroscopicity in the Southern Tibetan Plateau: implications for aerosol activation and indirect effects
Authors: Wang Yuan , Li Jiming , Fang Fang , Zhang Ping , He Jianjun , Pöhlker Mira L. , Henning Silvia , Tang Chenguang , Jia Hailing , Wang Yang , Jian Bida , Shi Jinsen , Huang Jianping 
Published: March 2024

AbstractAs a precursor process to cloud formation, aerosol activation over the Tibetan Plateau (TP) plays a pivotal role in regional cloud-precipitation and global climate. However, its characteristics remain unclear due to the absence of targeted observations in the TP. We conducted a ground in-situ aerosol-cloud-precipitation experiment in the southern TP (GACPE-STP), thereby unveiling the aerosol activation characteristics in this crucial region. Our findings reveal a weak aerosol activation capacity with low hygroscopicity (κ) values of less than 0.1 through multi-method κ measurements, contrasting starkly with the widely recommended κ value of 0.3 for continental regions. A κ parameterization is developed for predicting aerosol activation in this region, which can significantly reduce the overestimations of cloud droplet number concentration and hence aerosol indirect effects caused by using the recommended κ of 0.3. These findings address the unclear characteristics of aerosol activation in the TP region, contributing to the enhancement of regional cloud precipitation and global climate simulations.
Maternal RNA transcription in Dlk1-Dio3 domain is critical for proper development of the mouse placental vasculature
Authors: Zhang Ximeijia , He Hongjuan , Yu Haoran , Teng Xiangqi , Wang Ziwen , Li Chenghao , Li Jiahang , Yang Haopeng , Shen Jiwei , Wu Tong , Zhang Fengwei , Zhang Yan , Wu Qiong 
Published: March 2024

AbstractThe placenta is a unique organ for ensuring normal embryonic growth in the uterine. Here, we found that maternal RNA transcription in Dlk1-Dio3 imprinted domain is essential for placentation. PolyA signals were inserted into Gtl2 to establish a mouse model to prevent the expression of maternal RNAs in the domain. The maternal allele knock-in (MKI) and homozygous (HOMO) placentas showed an expanded junctional zone, reduced labyrinth and poor vasculature impacting both fetal and maternal blood spaces. The MKI and HOMO models displayed dysregulated gene expression in the Dlk1-Dio3 domain. In situ hybridization detected Dlk1, Gtl2, Rtl1, miR-127 and Rian dysregulated in the labyrinth vasculature. MKI and HOMO induced Dlk1 to lose imprinting, and DNA methylation changes of IG-DMR and Gtl2-DMR, leading to abnormal gene expression, while the above changes didn’t occur in paternal allele knock-in placentas. These findings demonstrate that maternal RNAs in the Dlk1-Dio3 domain are involved in placental vasculature, regulating gene expression, imprinting status and DNA methylation.
Effects of B2S3 additive on diamond crystallization at HPHT conditions
Authors: Li Yong , Wang Shuai , Xiao Hongyu , Wang Qiang , Xiao Zhengguo , She Yanchao , Wang Ying 
Published: March 2024

The color of the diamond obtained with the B2S3 additive changes from yellow to light blue and the resistivity of the synthesized diamond drops from 3.89 × 10 Ω cm to 2.51 × 10−1 Ω cm with the introduction of Ti/Cu into the synthetic cavity.
Point cloud geometry compression with sparse cascaded residuals and sparse attention
Authors: Lu Shiyu , Yang Huamin , Han Cheng 
Published: March 2024

AbstractEffective compression of point clouds is essential for implementing virtual and mixed reality applications, which require encoding millions or even tens of millions of points. This paper offers a new geometric compression for point clouds based on sparse cascaded residuals and sparse attention. A sparse cascaded residual module is posited to connect multiple residual modules through shortcuts, thereby augmenting the network's learning capacity and compression efficacy. The authors developed a sparse attention module to acquire global features by computing interdependencies among points, enhancing compression performance to a greater extent. Trade‐off parameters are employed to optimize the rate and distortion. The authors’ method outperforms the state‐of‐the‐art open‐source method regarding rate‐distortion on the ShapeNet, ModelNet, and Microsoft Voxelized Upper Bodies datasets, with average bjøntegaard‐delta (BD)‐rate gains of −14.44% and −15.38%.
Underdetermined blind source separation based on third‐order cumulant and tensor compression
Authors: Luo Weilin , Li Xiaobai , Jin Hongbin , Li Hao , Yuan Kai , Yang Ruijuan 
Published: March 2024

AbstractA method for Underdetermined Blind Source Separation is proposed using third‐order cumulants and tensor compression. To effectively suppress symmetrical distributed noise, the third‐order cumulant is considered. Additionally, the complexity of high‐dimensional tensors can be reduced through high order singular value decomposition (HOSVD) for compression purposes. The method begins by calculating the third‐order cumulant tensor for whitening signals at different time delays, and then stacks several cumulants into a fourth‐order tensor. The HOSVD decomposition is applied to the fourth‐order tensor, compressing the high‐dimensional tensor into a low‐dimensional core tensor. Next, the core tensor is further decomposed using the canonical polyadic decomposition, and the resulting factor matrices are fused to obtain an estimation of the mixed matrix. Finally, leveraging the signal independence, a matrix diagonalisation method is employed to recover the source signals. Theoretical analysis and simulation results demonstrate that the proposed method effectively suppresses the influence of Gaussian noise, reduces computational complexity, and saves computational time. Moreover, compared with five representative approaches, the proposed method achieves superior separation results. Specifically, for the 3 × 4 mixed model with a signal‐to‐noise ratio of 20 dB, the average relative error of speech signal and radio signal are −11.02 and −6.8 dB respectively.
BigDEAL Challenge 2022: Forecasting peak timing of electricity demand
Authors: Shukla Shreyashi , Hong Tao 
Published: March 2024

AbstractPeak load forecasting is crucial to power system planning and operations. While the literature has reported many studies on forecasting the magnitude of peak load, few have focused on the timing aspect. In the fall of 2022, the Big Data Energy Analytics Laboratory (BigDEAL) organised the BigDEAL Challenge 2022, which was devoted to short‐term ex‐ante peak timing forecasting. The competition attracted 78 teams formed by 121 contestants from 27 countries. The authors introduce the competition in detail, including its precursor competitions held in the 2010s, the framework and setup, and a summary of the methods used by the participants. The authors also publish the data of the BigDEAL Challenge 2022 along with this paper. Lastly, the authors present their perspective on the research challenges of peak timing forecasting and future load forecasting competitions.
Enhanced energy balancing and optimal load curtailment strategy for DC microgrid integration in hybrid AC/DC distribution networks
Authors: Sarwar Sohail , Zafar Haroon , Merlin Michael , Arsalan Ali , Papari Behnaz , Kiprakis Aristides 
Published: March 2024

AbstractUnleashing the potential of distributed renewable energy sources (RESs), intelligent and autonomous microgrids are becoming pivotal in attaining net‐zero carbon emission goals. Hybrid AC/DC microgrids rise as cutting‐edge microgrid topologies, capitalising on the best of both AC and DC systems. However, the integration of intermittent renewables and uncertainties in loading poses stability challenges. Advanced bidirectional converter controls provide efficient power exchange, but in extreme contingencies, a resilient supervisory control framework (load management/load curtailment approach) is inevitable to withstand/avoid unplanned renewable disruptions/blackouts. Moreover, the operational paradigm shift towards achieving net‐zero emissions, isolated operation of RESs, and conventional load shedding methods are anticipated to encounter substantial challenges, necessitating the development of alternative strategies. In order to improve the stability of hybrid microgrid systems in islanding scenarios, this research presents an energy balancing and load curtailment strategy. The proposed method aims at optimising resource utilisation, prioritising essential loads, and executing an optimal load curtailment strategy (if required), thereby augmenting the stability of systems. Unlike a meta‐heuristic or exhaustive search, which depends on 2n − 1 possible combinations and become unworkable as load numbers increase, the suggested methodology is based on a mathematically modelled load restriction method. By including load criticality, this strategy effectively prevents blackouts even with an increasing number of loads, providing a significantly more useful and practical solution. Additionally, the proposed charging algorithm ensures that the energy storage system imports energy from the grid during off‐peak hours and maximises power generation from the DC subgrid. The efficacy of the proposed strategy is validated using a modified IEEE‐33 bus system as a test case for a hybrid AC/DC microgrid. Simulation results demonstrate the effectiveness of the MILP‐based load curtailment approach in maintaining system stability and preventing blackouts during unforeseen events.
Reconnaissance ultracool spectra in theEuclidDeep Fields
Authors: Zhang J.-Y. , Lodieu N. , Martín E. L. 
Published: March 2024

Context.TheEuclidspacecraft has been launched and will carry out a deep survey benefiting the discovery and characterisation of ultracool dwarfs (UCDs), especially in theEuclidDeep Fields (EDFs), which the telescope will scan repeatedly throughout its mission. The photometric and spectroscopic standards in the EDFs are important benchmarks, crucial for the classification and characterisation of new UCD discoveries and for the calibration of the mission itself.Aims.We aim to provide a list of photometric UCD candidates and collect near-infrared reconnaissance spectra for M, L, and T-type UCDs in the EDFs as futureEuclidUCD references.Methods.In EDF North, we cross-matched public optical and infrared surveys with certain photometric criteria to select UCDs. In EDF Fornax and EDF South, we used photometrically classified samples from the literature. We also include UCDs identified byGaiaDR2. We selected seven UCD targets with different spectral types from the lists and obtained low-resolution 0.9–2.5 μm spectra of them using GTC/EMIR and the VLT/X-shooter. We also selected a young, bright L dwarf near EDF Fornax to test the coherence of these two facilities. We included one extra T dwarf in EDF North with its publishedJ-band spectrum.Results.We retrieved a list of 81 (49, 231) M, eight (29, 115) L, and one (0, 2) T dwarf candidates in EDF North, Fornax, and South, respectively. They are provided to guide future UCD discoveries and characterisations byEuclid. In total, we collected near-infrared spectra for nine UCDs, including two M types, three L types, and four T types in or close to the three EDFs. The Euclidised spectra show consistency in their spectral classification, which demonstrates that slitlessEuclidspectroscopy will recover the spectral types with high fidelity for UCDs, both in the EDFs and in the wide survey. We also demonstrate thatEuclidwill be able to distinguish different age groups of UCDs.
Evaluation of Fetal Breathing-Related Nasal Fluid Flow Doppler in the
Third Trimester in Pregnant Women with Fetal Growth Restriction: Preliminary
Observations
Authors: Rzayeva Gunay , Kale İbrahim , Arısoy Resul , Muhcu Murat 
Published: March 2024

Abstract
Objective To investigate the fetal breathing-related nasal fluid flow
Doppler waveforms as an indicator of fetal respiratory function in fetuses
diagnosed with fetal growth restriction (FGR) in the third trimester.
Materials and Methods This prospective, non-interventional case-control
study was conducted on 96 pregnant women, including 23 pregnant women diagnosed
with FGR in the third trimester as the FGR group and 73 healthy pregnant women
with fetuses appropriate for gestational age (AGA) as the control group. Fetal
breathing-related nasal fluid flow Doppler was examined in the fetuses of the
participants. Inspiration and expiration duration, inspiration and expiration
peak velocity, total breathing duration, and number of fetal breaths per minute
were calculated.
ResultsBoth groups were similar in terms of the duration of inspiration,
duration of expiration, and total breathing duration (p=0.463, p=0.711, p=0.520,
respectively). Peak inspiratory velocity and peak expiratory velocity were
significantly lower in the FGR group than in the control group, and the number
of fetal breaths per minute was similar in both groups (p=0.027, p=0.012,
p=0.768, respectively). When participants were regrouped into those whose
newborn was admitted to the neonatal intensive care unit (NICU) after birth and
those who were not, all fetal nasal fluid flow Doppler parameters were similar
in both groups.
Conclusions Although the number of participants was too small to draw a
definitive conclusion, FGR appears to be associated with a decrease in peak
inspiratory and expiratory velocity. The clinical significance of changes in
fetal breathing-related nasal fluid flow Doppler parameters in FGR is as yet
unclear, and their use in clinical follow-up and predicting unfavorable
perinatal outcomes are the subjects of future research.