bluuebunny/crossref_metadata_2025_split huggingface dataset:
X-photon laser direct write 3D nanolithography
Authors: Skliutas Edvinas , Samsonas Danielius , Čiburys Arūnas , Kontenis Lukas , Gailevicius Darius , Berzinš Jonas , Narbutis Donatas , Jukna Vytautas , Vengris Mikas , Juodkazis Saulius , Malinauskas Mangirdas 
Published: September 2022

Abstract
Polymerized voxels by focusing ultrashort pulses varying wavelength over three-octaves wide range for femtosecond laser direct write 3D nanoprinting are studied. A possibility to use any color of spectrum from 500-nm-to-1200-nm with a controlled pulse width of 100-fs reveals a delicate interplay of photo-physical mechanisms more than just two-photon absorption inducing localized photo-polymerization. None of the applied exposure conditions ensured significantly higher spatial definition than 200-nm in width using SZ2080TM photosensitized and pure materials, yet it allowed tuning the voxel aspect ratio and greatly influenced dynamic fabrication window determined by the resolution bridges method. An effective order of absorption, i.e., the n ef -photon process of absorption, and exposure per pulse (energy, fluence, intensity) was assessed for ultra-short pulses varying wavelengths as it has the paramount influence to the established multi-photon polymerization (MPP) process. Here an evolution of the polymerised volume via different energy delivery mechanisms: one-/two-/three-photon absorption, avalanche ionization, and thermal diffusion leading to controlled photo-polymerization are revealed. The results can be used to tailor polymerized volume for increasing the 3D nano-printing performance. A non-trivial energy deposition by X-photon absorption was observed with an onset of a strong lateral size increase at the higher pulse energy at longer wavelengths and can be understood as due to reaching epsilon-near-zero conditions. Findings are valuable for developing MPP technology to reduce the footprint size and increase its efficiency. Understanding mechanisms and appearance of λ -tunable commercial lasers are benefiting broad applications in advanced optical additive manufacturing areas of micro-optics, nano-photonic devices, meta-materials, and integrated-chips, and tissue engineering.
Investigation on the Damping of Riveted Short Cantilever Beams With Layers of Similar and Dissimilar Metallic Materials: Optimization of Parameters
Authors:   Siva Sankara Rao Yemineni1,   Prof. Mallikarjuna Rao Kutchibotla2,   Prof. V. V. Subba rao3
Published: September 2022

Abstract
Investigating the damping behavior is essential for any dynamically vibrating structures to avoid resonance. For this, one of the ways is to make the vibrating metallic beams into layers throughout their thickness and rivet them. So far in the previous investigation, the layers considered are of the same materials for both the long and short beams. In this investigation, the layers considered are of both similar (mild steel-mild steel (MS + MS) and aluminum-aluminum (AL + AL)) and dissimilar metallic materials (mild steel-aluminum (MS + AL)) and are shorter in length. The Frequency response function (FRF), Euler-Bernoulli theory (EBT), and Timoshenko beam theory (TBT) were adopted to investigate the damping ratios and their order is found to be \(\varvec{\xi }\)FRF>\(\varvec{\xi }\)EBT>\(\varvec{\xi }\)TBT. A combination of mild steel-mild steel showed higher damping ratios when compared with the other two riveted materials combinations and the order for damping ratio is \(\varvec{\xi }\)MS−MS>\(\varvec{\xi }\)MS−AL>)\(\varvec{\xi }\)AL−AL. In addition, the parameters that affect the damping ratio of riveted short cantilever beams with mild steel-aluminum metallic materials combination were optimized by considering the full factorial design using response surface methodology (RSM), and corresponding plots were presented to observe the variation of the damping ratio. The minimum and maximum damping ratios were also obtained within the range of numerical values of the parameters considered in this study. At last, a quadratic regression equation was developed for cantilever beams with mild steel-aluminum (MS+AL) materials combination and was validated by experimental values that were not utilized in its development.
Comorbidities in patients with uterine adenosarcoma. A single-center case series of 12 patients
Authors: Du Hui , Jiang Jingjing , Wang Zhu , Peng Hongfa 
Published: September 2022

Abstract
Background: Uterine adenosarcoma is a rare low-grade tumor that commonly affects elderly women and is associated with a generally good, although sometimes poor, prognosis. This study investigates the effect of comorbidities in old patients with uterine adenosarcoma.
Methods: A review of patients who had been diagnosed with uterine adenosarcoma at our institution between 2010 and 2020 was conducted. All patients underwent a specialist pathological reviewand were re-staged according to the International Federation of Gynecology and Obstetrics 2009 criteria. Patient demographics, staging, histologic features, primary and adjuvant therapy, disease recurrence, and survival time were collected.
Results: Twelve patients with confirmed uterine adenosarcomas were identified. Their mean age at diagnosis was 58.3 years (range, 31–83 years). Eight patients had pre-existing chronic diseases at the time of diagnosis. All 12 patients underwent surgical therapy. Of these, 10 (83.3%) were stage I, 1 (8.3%) was stage II, and 1 (8.3%) was stage III. Postoperative adjuvant therapies included chemotherapy (n = 1), radiation (n = 1), or no further therapy (n = 10). The mean follow-up duration was 39.2 months (range, 7–104 months). The recurrence and mortality rates were 16.7% (2/12) and 41.7% (5/12), respectively. Five recurrence-free patients died of comorbidities. The mean postoperative survival of these 5 patients was 22.6 months. The remaining seven patients were free of recurrence at the time of this report.
Conclusions: Comorbidities with age is a significant factor leading to poor prognosis in uterine adenosarcomas. Greater attention should be paid to elderly patients with comorbidities. Targeted interventions, including multi-professional management, tailored assessment, and follow-up, may contribute to improved well-being.
Labile carbon inputs support the recovery of prokaryotic communities, but not fungal communities, from a simulated bovine urine event.
Authors: Dopheide Andrew , Davis Carina , Wakelin Steve A , Whitehead David , Grelet Gwen-Aëlle 
Published: September 2022

Abstract
Inputs of carbon to soil may be used to stimulate microbial growth and immobilize excess nitrogen from sources such as livestock urine. However, the growth responses of microbial taxa to carbon inputs under conditions of excess soil nitrogen remain poorly understood. Using DNA metabarcoding and a field-based soil lysimeter experiment, we characterised the temporal responses (up to 112 days) of bacterial and fungal communities to a simulated bovine urine event plus inputs of labile carbon (sucrose) at two concentrations. Fungal communities were impacted more strongly than bacterial communities by carbon inputs under simulated urine patch conditions and had more variable responses among taxa. The richness of Chytridiomycota and Glomeromycota were most negatively affected, and Tremellomycetes most positively affected, by carbon inputs. A minority of fungal ASVs had greatly increased abundances in response to carbon, while fungal trophic composition became highly dominated by saprotrophs by the experiment end. Bacterial taxa showed consistent trends of declining (to about 14 days) and recovering (to 112 days) richness in response to urine and carbon inputs, but carbon-related evenness and abundance trends varied between taxa. Actinobacteria, Bacteroidetes, Betaproteobacteria, and Gammaproteobacteria each increased in abundance in response to carbon, whereas Acidobacteria, candidate division WPS-1, Planctomycetes, Deltaproteobacteria, and Verrucomicrobia each decreased in abundance. These results show that labile carbon inputs to limit nitrogenous leaching support the resilience of prokaryote communities to bovine urine events but may have long-term impacts on fungal community composition and function, with potential consequences for soil food webs, carbon sequestration, and agricultural productivity.
Identification of the potential cytokines involved in LPS induced acute lung injury in mouse
Authors: Qing Jiayue , Zhou Hongmei , Hu Li , Zhu Zhipeng 
Published: September 2022

Abstract
To identify the differentially expressed genes encoding promising inflammatory cytokines in murine lungs in the context of acute lung injury (ALI). Through searching the Gene Expression Omnibus (GEO) databases, three GEO datasets were identified based on the LPS induced animal model within 24hr, differentially expressed genes (DEGs) were extracted and analyzed with R studio, the properties of those DEGs were further analyzed by Protein-Protein-Interaction (PPI), Cytoscape, GO and KEGG bioinformatics techniques as well. The potential hub genes in inflammatory related cluster were retrieved and examined furthermore by basal experiments. By searching, GSE1871, GSE104214, and GSE130936 were screened with a priority of animal model formed in less than 24hr. With a criterion of |log2 fold change (FC)| ≥ 2 and an adjusted P-value < 0.01, 923 DEGs were found altogether in three datasets, eventually 87 overlapped genes were achieved commonly. Most of those DEGs come from anchored component of basal membrane and modulate the cytokine-receptors activity, participating in the regulation of responses to cellular stimuli or cytokine-mediated signaling pathways. Through bioinformatics techniques, 2 clusters were separated by K- means algorithm in 87 DEGs, 20 ranked hub genes were finally concluded. The GO and KEEG enrichment analysis of these 20 genes were highly consistent with previous results except that these hub genes are involved in both virus-related and LPS-related biological processes. For LPS induced in vivo experiment, 7 out of 20 genes exhibited mRNA overexpression under cytokine-cytokine receptors interaction pathway, having a more probability to function in inflammation-related cytokine signaling judging from the predicted transcription factor. Altogether, these findings find out some potential DEGs involved in virus and inflammation related biological process, identified 7 potential hub genes could be the therapeutic target on the cytokine-receptor interaction pathway ground in LPS induced ALI.
Evaluation of metal exposure through the composition of essential and toxic micro-minerals in freshwater turtles (Phrynops geoffroanus) from a Brazilian river
Authors: Fonseca Cristina Farias da , Silva Iago José Santos da , Rodrigues Midiã da Silva , Silva Bruna Higino de Souza , Soares Pierre Castro , de Moura Geraldo Jorge Barbosa , de Oliveira Jaqueline Bianque 
Published: September 2022

Abstract
This study aimed to evaluate the metal exposure through the concentration of essential and toxic micro-minerals in biological samples of Phrynops geoffroanus from an anthropized river. The work was carried out in four areas with different flow characteristics and uses of the river, where individuals of both sexes were captured during the dry and rainy seasons. The elements Al, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, and Zn, were quantified in samples of serum (168), muscle (62), liver (61), and kidney (61) by Inductively Coupled Plasma Optical Emission Spectrometry. The concentration of the elements varied according to the sample type, being higher in the liver and the kidney. In the serum, many elements were below the limit of quantification, but it was possible to determine Al, Cu, Fe, Mn, Pb, and Zn. The liver showed high levels of Cu, Fe, and Pb, and muscle for Ni, Pb, and Zn, with most of the elements accumulated in the kidney tissue (Al, Cd, Co, Cr, Mn, Mo, and Ni). There was no significant difference between sex in the accumulation of elements. Between seasons, Cu was higher in serum and Mn in muscle and liver in the dry period, while in the kidney, almost all the elements were higher in the rainy period. The concentrations of the elements in the samples indicated a high degree of environmental contamination, representing risk in the use of the river and consumption of food from local fisheries.
Surrogate "Level-Based" Lagrangian Relaxation for Mixed-Integer Linear Programming
Authors: Bragin Mikhail , Tucker Emily 
Published: September 2022

Abstract
Mixed-Integer Linear Programming (MILP) plays an important role across a range of scientific disciplines and within areas of strategic importance to society. The MILP problems, however, suffer from combinatorial complexity. Because of integer decision variables, as the problem size increases, the number of possible solutions increases super-linearly thereby leading to a drastic increase in the computational effort. To efficiently solve MILP problems, a “price-based” decomposition and coordination approach is developed to exploit 1. the super-linear reduction of complexity upon the decomposition and 2. the geometric convergence potential inherent to Polyak’s step-sizing formula for the fastest coordination possible to obtain near-optimal solutions in a computationally efficient manner. Unlike all previous methods to set step-sizes heuristically by adjusting hyper-parameters, the key novel way to obtain step-sizes is purely decision-based: a novel “auxiliary” constraint satisfaction problem is solved, from which the appropriate step-sizes are inferred. Testing results for large-scale Generalized Assignment Problems (GAP) demonstrate that for the majority of instances, certifiably optimal solutions are obtained. For stochastic job-shop scheduling as well as for pharmaceutical scheduling, computational results demonstrate the two orders of magnitude speedup as compared to frequently used Branch-and-Cut (B&C). SLBLR has a major impact on the efficient resolution of complex Mixed-Integer Programming (MIP) problems arising within a variety of scientific fields.
Single-Stage Isolation of Pure Andrographolide from Andrographis Paniculata in a Moderately Polar Solvent byOptimizing Different Parameters
Authors: MAURYA RAHUL , B Thirupataiah , Misro Lakshminarayana , R Thulasi , VR Rajeesh , KS Rohit 
Published: September 2022

Abstract
The primary objective of the proposed research work is to extract and enrich pure andrographolide (AGL) by varying the polarity index and Hildebrand solubility parameter (δ) of a moderately polar solvent. Both parameters affect the solubility of AGL in different solvents and extraction methods. AGL was extracted from the whole plant Andrographis paniculata. Continuous or Direct, Maceration and Soxhlet extraction method used for extraction. Based on the appearance of the crystal in the direct Soxhlet ethyl acetate method, their yield was further optimized by using a randomized response surface (RSM) and quadratic model-based Box‒Behnken design (BBD). HPTLC was used to determine the AGL extraction efficiency, purity, and quantification. Based on the obtained result, the pure andrographolide crystal (yield 0.185 g/g) was obtained by direct Soxhlet extraction. Ethyl acetate is used as a solvent. The Rf exhibited in the TLC chromatogram was 0.28. The FT-IR spectra exhibited characteristic peaks similar to the standard AGL, and 1H-NMR and 13C NMR elucidated the crystal structure. The DEPT − 90/135 spectra showed that the extracted crystal was pure AGL. One of the novel approaches is isolating pure AGL crystals in a moderately polar solvent (ethyl acetate) by elevating the Hildebrand solubility parameter despite using polar solvents. AGL crystals were obtained from direct Soxhlet extraction by ethyl acetate. It is a single-step and more economical method. It can be easily transformed into a pilot or industrial setup to extract the pure AGL.
Effect of model resolution on simulation of tropical cyclone landfall in East Asia based on a comparison of 25- and 50-km HiRAMs: Role of monsoon flow–topography interaction
Authors: Chen Kuan-Chieh , Tsou Chih-Hua , Hong Chi-Cherng , Hsu Huang-Hsiung , Tu Chia-Ying 
Published: September 2022

Abstract
The effect of model resolution on the simulation of tropical cyclone (TC) landfall frequency in East Asia (including the South China Sea [SCS], Taiwan and coastal areas of East China [TWCN] and Japan [JP]) was investigated by comparing Atmospheric-Model-Intercomparison-Project-type simulations on the basis of 50-km High Resolution Atmospheric Models (HiRAMs) and 25-km HiRAM. The number of TC landfalls in the TWCN region was realistically simulated by the 50-km HiRAM ensemble model. However, fewer (more) TCs were steered westward (northward) toward the SCS (JP) because of an overestimation of the monsoon trough in the western North Pacific (WNP). The overestimation created a low-level cyclonic circulation anomaly in the WNP, which substantially modified steering flow. Consequently, more (less) TC made landfall in JP (SCS). The overestimation of the monsoon trough was due to an underestimation of the monsoon flow–topography interaction in the Indochina Peninsula Mountains; specifically, the underestimation produced an anomalous east–west overturning circulation in the Indochina Peninsula–WNP, which caused the ascending branch in the WNP to favor convection and strengthened the monsoon trough. The underestimation of the monsoon flow–topography interaction in the Indochina Peninsula Mountains was improved substantially by increasing the model’s horizontal resolution with the 25-km HiRAM. The improvement in the monsoon flow–topography interaction further reduced the overestimation of the WNP monsoon trough, number of TC geneses, and track frequency.
Dual spaces for weak martingale Hardy spaces associated with rearrangement-invariant spaces
Authors: Silas Niyonkuru , Xie Guangheng 
Published: September 2022

Abstract
Given a probability space $(\Omega,\mathcal{F},\mathbb P)$ and a rearrangement-invariant quasi-Banach function space $X$, the authors of this article first prove the $\alpha$-atomic ($\alpha\in [1,\infty)$) characterization of weak martingale Hardy spaces $WH_X(\Omega)$ associated with $X$ via simple atoms. The authors then introduce the generalized weak martingale ${\rm BMO}$ spaces which proves to be the dual spaces of $WH_X(\Omega)$. Consequently, the authors derive a new John--Nirenberg theorem for these weak martingale ${\rm BMO}$ spaces. Finally, the authors apply these results to the generalized grand Lebesgue space and the weighted Lorentz space. Even in these special cases, the results obtained in this article are totally new.
Comparing RNA extraction methods to face the variations in RNA quality using two human biological matrices.
Authors: Ortega-Pinazo Jesús , Serrano-Castro Pedro Jesús , Martínez Beatriz , Pinto-Medel María Jesús , Gómez-Zumaquero Juan Miguel , Lago-Sampedro Ana , García-Díaz Beatriz , Arrabal-Ayala María , Estivill-Torrús Guillermo , Ferro Pedro 
Published: September 2022

Abstract
Nucleic acids, RNA among them, are widely used in biomedicine and biotechnology. Because of their susceptibility to degradation by RNases, the handling and extraction process of RNA from cells and tissues require specialized personnel and standardized methods to guarantee high purity and integrity. Due to the diversity of techniques found in the market, a comparative study between different RNA extraction methods is useful to facilitate the best choice for the researcher or in research service platforms such as biobanks to see the traceability of the samples. In this study, we have compared seven different RNA extraction methods: manual (TRIzol™), semiautomated (QIAGEN™, Bio-Rad, Monarch®, and Canvax™), and fully automated (QIAcube™ and Maxwell®) processes, from two biological matrices: human Jurkat T cells and peripheral blood mononuclear cells (PBMC). Results showed marked differences in the RNA quality and functionality according to the method employed for RNA extraction and the matrix used. These data contribute to facilitating researchers or research service platforms in decision-making practices and emphasize the relevance of the selection of the RNA extraction method in each experimental procedure or traceability study to guarantee both quality standards and its reproducibility.
Effect of sponge city construction on urban waterlogging reduction in semi-humid areas of China
Authors: Wang Mengjie , Lu Yiyun , Ge Xiaoyu 
Published: September 2022

Abstract
Urban waterlogging frequently occurs in semi-humid areas due to the short duration of heavy rainfall in summer and the high rates of subsurface hardening caused by high-intensity urban development. To solve the problem of urban waterlogging, China has launched the construction of ‘sponge cities’ and made some progress, but there is still a lack of comprehensive consideration of the functional types and spatial layout of low impact development (LID) facilities. Qian'an, a city of Hebei Province, is one of the first sponge city pilot cities in China. This paper focuses on Yanshan South Road and its surrounding areas, a historical waterlogging section of Qian'an city. Four common LID measures (sunken green space (SG), bioretention ponds (BP), infiltration ponds (IP), and reservoirs (RE)) in two function types are selected and combined through centralized (CE) and decentralized (DE) different spatial layouts, a total of 80 design scenarios are proposed. Then, using the storm water management model (SWMM) to calculate the effect of each scheme on peak flow reduction under different rainfall return periods. The results showed that all LID scenarios can effectively alleviate the urban waterlogging problem, among which the schemes of DE-SG-BP (1:1), DE-IP-SG (1:1), DE-SG-IP (3:1), DE-SG-IP (1:3), and DE-SG-BP (3:1) had the highest peak flow reduction rate, up to 95.46%. The schemes of CE-RE-IP (3:1) and CE-IP-RE (3:1) had better hydrological performance in occupying less surface space, with a peak flow reduction rate of 8.68% per square meter. Therefore, the distributed layout combined with infiltration LID facilities and storage LID facilities can be used in urban built-up areas with limited land use conditions, which has a more obvious effect on reducing waterlogging.
Analysis of runoff variation and driving factors in the Minjiang River Basin over the last 60 years
Authors: Zhai Hongjuan , Wang Meng , Shen Dandan , Hu Bo , Li Yajun 
Published: September 2022

Abstract
An absolute essential for effective water resource management and ecological restoration is knowing the temporal and spatial variation of runoff. The objective of this study was to determine the spatial and temporal changes in runoff at the main hydrological stations along the Minjiang River and the Dadu River between 1961 and 2016 using the non-parametric Mann-Kendall test and annual variation analysis. Canonical correspondence analysis and regression analysis were used to determine the contribution of anthropogenic disturbance, vegetation, and climatic conditions to runoff change. The runoff at each station of the Minjiang River showed a clear decreasing trend, whereas the decreasing trend of the Dadu River was not significant. Moreover, the discharge at the Shawan (SW) station upstream of the Dadu River and the Gaochang (GC) station downstream of the Minjiang River have changed significantly during the flood and non-flood seasons since 2000, while the discharge at other stations has not changed significantly. The average annual runoff in the non-flood season at SW and GC in 2011–2016 increased by approximately 26.21 and 36.47%, respectively, compared with 1961–2010. Anthropogenic disturbance, vegetation, and climatic conditions in the Minjiang River Basin accounted for 76.24, 13.62, and 10.14%, respectively, of the runoff change in the basin. Water consumption and total reservoir capacity were the specific factors most affecting runoff change in the basin, accounting for 15.10 and 13.94%, respectively, of the changes in runoff. The research can provide important support for the ecological restoration of Minjiang River Basin and Yangtze River Basin.