bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel vibro-acoustic fault diagnosis approach of planetary gearbox using intrinsic wavelet integrated GE-EfficientNet
Authors: Hu Huangxing , Lv Yong , Yuan Rui , Xu Shijie , Zhu Weihang 
Published: November 2023

Abstract
Planetary gearbox operates under complex working conditions involving high speed, heavy load, and corrosion. When the planetary gearbox is in tight spaces, it is difficult to measure its signal by conventional methods. In this case, acoustic sensors can measure signal with the noncontact method. This paper proposes a vibro-acoustic fault diagnosis method with respect to planetary gearbox. The method addresses challenges related to weak vibro-acoustic signal, difficulty in extracting fault features, and low diagnostic accuracy and efficiency. Firstly, vibro-acoustic signal is captured by a unidirectional microphone. Next, intrinsic wavelet analysis extracts intrinsic features of the planetary gears. The band-limited intrinsic mode functions (BLIMFs) of the acoustic signal are obtained by optimized variational mode decomposition, and the BLIMFs are then transformed into time-frequency map features. Finally, these time-frequency map features are utilized as the inputs for Ghost module and Efficient channel attention module (GE)-improved EfficientNet model, namely GE-EfficientNet model, to achieve fault diagnosis of planetary gearbox. The superiority of the proposed method is verified by the experimental results which show that the diagnostic accuracy of GE-EfficientNet reached 100%, and the floating-point operations and parameter numbers are only 5.1 G and 0.4 MB, respectively. The results demonstrate that the proposed vibro-acoustic fault diagnosis method achieves good diagnostic accuracy and efficiency.
A simple, flexible technique for RF cavity wake-field calculations
Authors: Vaughn Brian J. 
Published: November 2023

Abstract
It is typical in the accelerator field to model machine
components, especially RF cavities, as parallel RLC resonators. To
properly model wake-fields, knowledge of the time-domain voltage
resulting from beam excitation is often necessary. While analytical
and quasi-analytical expressions are available to accomplish this
for common bunch distributions such as the Gaussian, analogous
results for less standard distributions can be difficult or
computationally-taxing to obtain using direct methods, which opens
the door for the development of a more generalized technique. In
this paper, a formulation is created that allows for the simple
computation of the time-domain voltage waveform of an RLC
resonator. The formulation uses the Cauchy Residue Theorem to
extract the convolution result from the Fourier Domain, and if
current distribution Fourier Transform has no poles, knowledge of
its value is only required at one specific evaluation point. This
greatly simplifies the computation of the time domain voltage for a
large amount of bunch distributions both common and
uncommon. Accuracy considerations for this technique and the
approximation of accelerator components as RLC resonators are also
discussed, resulting the development of a figure of merit for
quantifying the robustness of this type of approximation.
Multicolor dye-based flow structure visualization for seal-whisker geometry characterized by computer vision
Authors: Ferčák Ondřej , Lyons Kathleen M , Murphy Christin T , Kamensky Kristina M , Cal Raúl Bayoán , Franck Jennifer A 
Published: November 2023

Abstract
Pinniped vibrissae possess a unique and complex three-dimensional topography, which has beneficial fluid flow characteristics such as substantial reductions in drag, lift, and vortex induced vibration. To understand and leverage these effects, the downstream vortex dynamics must be studied. Dye visualization is a traditional qualitative method of capturing these downstream effects, specifically in comparative biological investigations where complex equipment can be prohibitive. High-fidelity numerical simulations or experimental particle image velocimetry are commonplace for quantitative high-resolution flow measurements, but are computationally expensive, require costly equipment, and can have limited measurement windows. This study establishes a method for extracting quantitative data from standard dye visualization experiments on seal whisker geometries by leveraging novel but intuitive computer vision techniques, which maintain simplicity and an advantageous large experimental viewing window while automating the extraction of vortex frequency, position, and advection. Results are compared to direct numerical simulation (DNS) data for comparable geometries. Power spectra and Strouhal numbers show consistent behavior between methods for a Reynolds number of 500, with minima at the canonical geometry wavelength of 3.43 and a peak frequency of 0.2 for a Reynolds number of 250. The vortex tracking reveals a clear increase in velocity from roll-up to 3.5 whisker diameters downstream, with a strong overlap with the DNS data but shows steady results beyond the limited DNS window. This investigation provides insight into a valuable bio-inspired engineering model while advancing an analytical methodology that can readily be applied to a broad range of comparative biological studies.
Uncertainty in streamflow measurements significantly impacts estimates of downstream nitrate export
Authors: Speir Shannon L , Jones C Nathan , Shogren Arial J , Atkinson Carla L 
Published: November 2023

Abstract
Across watershed science, two key variables emerge–streamflow and solute concentration–which serve as the basis for efforts ranging from basic watershed biogeochemistry research to policy decisions surrounding watershed management. However, we rarely account for how error in discharge (Q) impacts estimates of downstream nutrient loading. Here, we examined the impact of uncertainty in streamflow measurements on estimates of downstream nitrate export using publicly available data from the U.S. Geological Survey (USGS). We characterized how uncertainty in stage-discharge relationships impacts annual flux estimates across 70 USGS gages. Our results indicate the interquartile range of relative error in Q was 33% across these USGS sites. We documented a wide range in mean error in annual nitrate loads; some sites were underestimated (−105%), while predicted loads at other sites vastly overestimated (500%). Overall, any error in estimating Q leads to significant unpredictability of annual nutrient loads, which are often used as critical success benchmarks for governmental nutrient reduction strategies. Moreover, error in annual nitrate loads (as mass, kg) increases with mean Q; thus, as high flows become more unpredictable and intense under future climate change, error in estimates of downstream nutrient loading may also increase. Together, this indicates that error in Q may drastically influence our measures of water quality success and decrease our ability to accurately quantify progress towards algal bloom and ‘dead zone’ reduction.
Can climate knowledge enable Warragamba Dam, Sydney, Australia to be used to manage flood risk?
Authors: Devanand Anjana , Pitman Andy J , Carvajal Guido , Khan Stuart J 
Published: November 2023

Abstract
Dams that serve a dual purpose of water supply and flood mitigation operate to maintain a defined full supply level of water that balances the two conflicting requirements. To optimize the use of available storage space, the full supply level may be adjusted to reflect changing risks of future water shortages and future flood inflows based on known seasonal variations and current observations. The Warragamba Dam in eastern Australia is located upstream of the populated Hawkesbury-Nepean valley which has one of the largest flood exposures in the country. However, the operating protocol of the reservoir does not include provisions to reduce the full supply level of the dam for flood mitigation. Large scale climate indicators that are known to influence the hydroclimate of this region may potentially contain useful information to inform the dual use of this reservoir, but their utility for this purpose has not been studied. Here we explore whether current observations of large-scale climate along with antecedent catchment conditions can be used to estimate the probability of large inflows into the reservoir in the next 3- and 6 months, to aid flood management. We find that the predictors have a substantial influence on the probability of large inflows. The probability differences during opposite predictor phases vary by season and range from 30% to 70%. Our results indicate that considering current climate information to inform dual use of the Warragamba dam has merit.
Multidimensional integrable deformations of integrable PDEs
Authors: Casati M , Zhang (张丹达) D 
Published: November 2023

Abstract
In a recent series of papers by Lou et al it was conjectured that higher dimensional integrable equations may be constructed by utilizing some conservation laws of

(
1
+
1
)

-dimensional systems. We prove that the deformation algorithm introduced in (Lou et al 2023 J. High Energy Phys.
2023 018), applied to Lax integrable

(
1
+
1
)

-dimensional systems, produces Lax integrable higher dimensional systems. The same property is enjoyed by the generalized deformation algorithm introduced in (Lou et al 2023 Chin. Phys. Lett.
40 020201); we present a novel example of a

(
2
+
1
)

-dimensional deformation of KdV equation obtained by generalized deformation. The deformed systems obtained by such procedure, however, pose a serious challenge because most of the mathematical structures that the

(
1
+
1
)

-dimensional systems possess are lost.
Enhanced photocatalytic oxidation of free cyanide using hydrogen-treated TiO2: effect of reduction temperature
Authors: Pérez-Patiño Mitzy Y , Barrera-Andrade José M , Rojas-García Elizabeth , Calzada Lina A , Sierra-Uribe Jhon Harrison , Falcony Ciro , Valenzuela Miguel A , Albiter Elim 
Published: November 2023

Abstract
Hydrogen-treated titanium dioxide (grey TiO2) crystals were synthesized through a temperature-programmed reduction of commercial TiO2 under an H2/Ar mixed gas flow at elevated temperatures ranging from 600 to 800 °C. Analytical techniques, including Raman spectroscopy and x-ray Photoelectron Spectroscopy (XPS), were employed to probe the presence of oxygen vacancies in the grey TiO2 and to track the variation in Ti3+ species concentration as a function of temperature. The reduced samples obtained at different temperatures were used as photocatalysts to oxidize free cyanide ions under UV light illumination. Among these, the photocatalysts reduced at 600 °C demonstrated superior activity, converting 30 ppm of free cyanide to cyanate ions within 120 min. This reaction time represents a significant enhancement in efficiency as compared to untreated TiO2, which necessitated over 240 min to accomplish the same conversion. The improved performance of grey TiO2 is ascribed to its elevated photocurrent and the positive shift in the flat band energy, which together accelerate electron transfer and limit electron–hole recombination rates.
Dung beetle tribal classification (Coleoptera: Scarabaeidae: Scarabaeinae): progress, problems, and prospects
Authors: Daniel Gimo M , Davis Adrian L V 
Published: November 2023

AbstractThe subfamily Scarabaeinae has been traditionally divided into tribes on the basis of morphological similarity between groups of genera or, even, dissimilarity shown by a single genus. Although various tribal units have been described over the past 220 years, they had been recently reduced to a maximum of only 12 through synonymies within some tribes. However, following the advent of morphological and molecular cladistic systematics, it is clear that there are many discrepancies between phylogeny and phenetic tribal classification. As a result the number of tribes has now been expanded to 20 by revalidating some tribes or describing new groupings although this revision is incomplete. Thus, this study provides a comprehensive review of the current status of dung beetle tribal classification with regards to validity in terms of monophyly versus polyphyly or paraphyly. We discuss the systematic position of tribes among Scarabaeinae and provide a summary of the generic and species structure for each tribe. Given the enduring polyphyly or paraphyly in several tribes, it is clear that further tribal units will need to be described or revalidated to resolve the discrepancies. Therefore, we discuss how to use multiple lines of evidence (molecular, morphological, biogeographical, and paleontological) to build the tree of life for dung beetles and consequently provide stability in the tribal classification of the lineage.
Spatial Patterning of Spontaneous and Medically Indicated Preterm Birth in Philadelphia
Authors: Yang Nancy , Quick Harrison S , Melly Steven J , Mullin Anne M , Zhao Yuzhe , Edwards Janelle , Clougherty Jane E , Schinasi Leah H , Burris Heather H 
Published: November 2023

Abstract
Preterm birth (PTB) remains a key public health issue that disproportionately affects Black individuals. Since spontaneous PTB (sPTB) and medically indicated PTB (mPTB) may have different causes and interventions, we quantified racial disparities for sPTB and mPTB, and we characterized the geographic patterning of these phenotypes, overall and according to race/ethnicity. We examined a pregnancy cohort of 83,952 singleton births at 2 Philadelphia hospitals from 2008–2020, and classified each PTB as sPTB or mPTB. We used binomial regression to quantify the magnitude of racial disparities between non-Hispanic Black and non-Hispanic White individuals, then generated small area estimates by applying a Bayesian model that accounts for small numbers and smooths estimates of PTB risk by borrowing information from neighboring areas. Racial disparities in both sPTB and mPTB were significant (relative risk of sPTB = 1.83, 95% confidence interval: 1.70, 1.98; relative risk of mPTB = 2.20, 95% confidence interval: 2.00, 2.42). The disparity was 20% greater in mPTB than sPTB. There was substantial geographic variation in PTB, sPTB, and mPTB risks and racial disparity. Our findings underscore the importance of distinguishing PTB phenotypes within the context of public health and preventive medicine. Future work should consider social and environmental exposures that may explain geographic differences in PTB risk and disparities.
The Importance of Equity Value Judgments and Estimator-Estimand Alignment in Measuring Disparity and Identifying Targets to Reduce Disparity
Authors: Chang Ting-Hsuan , Nguyen Trang Quynh , Jackson John W 
Published: November 2023

Abstract
The choice of which covariates to adjust for (so-called allowability designation (AD)) in health disparity measurements reflects value judgments about inequitable versus equitable sources of health differences, which is paramount for making inferences about disparity. Yet, many off-the-shelf estimators used in health disparity research are not designed with equity considerations in mind, and they imply different ADs. We demonstrated the practical importance of incorporating equity concerns in disparity measurements through simulations, motivated by the example of reducing racial disparities in hypertension control via interventions on disparities in treatment intensification. Seven causal decomposition estimators, each with a particular AD (with respect to disparities in hypertension control and treatment intensification), were considered to estimate the observed outcome disparity and the reduced/residual disparity under the intervention. We explored the implications for bias of the mismatch between equity concerns and the AD in the estimator under various causal structures (through altering racial differences in covariates or the confounding mechanism). The estimator that correctly reflects equity concerns performed well under all scenarios considered, whereas the other estimators were shown to have the risk of yielding large biases in certain scenarios, depending on the interaction between their ADs and the specific causal structure.
A decoupling method to compute near field and far field exposure concentrations
Authors: Nicas Mark 
Published: November 2023

Abstract
In the near field/far field (NF/FF) dispersion construct, the analytical solutions for the NF and FF concentration equations, respectively denoted CNF(t) and CFF(t) in mg/m3, are coupled in their mathematical derivation. Depending on the form of the contaminant emission rate function G(t) (mg/min), deriving CNF(t) and CFF(t) can range from being relatively easy to impossible. A method is presented to more easily approximate these concentration functions. The method decouples the NF and FF equations by treating the NF as an isolated well-mixed space with volume VNF (m3) and supply/exhaust airflow rate β(m3) and treating the FF as an isolated well mixed-space with volume V (m3) and supply/exhaust airflow rate Q (m3). Assuming that each space contains a source with the same contaminant emission rate function G(t), a contaminant concentration function is derived for the FF zone, denoted CWMR1(t), and an independent contaminant concentration function is derived for the NF zone, denoted CWMR2(t). Deriving a concentration function for a single zone is far easier than deriving coupled concentration functions. It is shown that the sum CWMR1(t) + CWMR2(t) provides an excellent approximation of CNF(t) and that CWMR1(t) provides an excellent approximation of CFF(t). A discrete-time numerical solution for the CNF(t) and CFF(t) system based on a Markov matrix is also presented.
Building Trust and Honouring Agreements in the Supply of Protected Wildlife Products
Authors: Wong Rebecca W Y 
Published: November 2023

Abstract
This paper draws on interview data and published court judgment reports to reveal first-hand accounts of illegal transactions involving protected wildlife and how criminals collaborate with one another. This research finds that wildlife supply is controlled by a small number of key suppliers. Further, trust is embedded in the criminals’ relationship based on kinship and friendship ties, while individuals’ ethnicity and reputation also facilitate collaboration. These arrangements shape the criminal networks that exploit protected wildlife. This paper suggests further research into online trading of protected wildlife products, the presence of women in the illegal wildlife trade and the impact of COVID-19 on the criminal networks supplying wildlife.
LncRNA CCAT1 participates in pancreatic ductal adenocarcinoma progression by forming a positive feedback loop with c-Myc
Authors: Cheng Chundong , Liu Zonglin , Liu Danxi , Chen Hua , Wang Yongwei , Sun Bei 
Published: November 2023

Abstract
Long noncoding RNAs (lncRNAs) play fundamental roles in cancer development; however, the underlying mechanisms for a large proportion of lncRNAs in pancreatic ductal adenocarcinoma (PDAC) have not been elucidated. The expression of colon cancer-associated transcript-1 (CCAT1) in PDAC specimens and cell lines was measured by quantitative real-time polymerase chain reaction (qRT-PCR). The function of CCAT1 was examined in vitro and in vivo. The interactions among CCAT1, miR-24-3p and c-Myc were determined by bioinformatics analysis, RNA immunoprecipitation (RIP), dual-luciferase reporter assay, and rescue experiments. CCAT1 was significantly increased in PDAC, positively correlated with PDAC progression and predicted a worse prognosis. Furthermore, CCAT1 enhanced Adenosine triphosphate (ATP) production to facilitate PDAC cell proliferation, colony formation and motility in vitro and tumor growth in vivo. CCAT1 may serve as an miR-24-3p sponge, thereby counteracting its repression by c-Myc expression. Reciprocally, c-Myc may act as a transcription factor to alter CCAT1 expression by directly targeting its promoter region, thus forming a positive feedback loop with CCAT1. Collectively, these results demonstrate that a positive feedback loop of CCAT1/miR-24-3p/c-Myc is involved in PDAC development, which may serve as a biomarker and therapeutic target for PDAC.
Transcriptome profiling of regulatory T cells from children with transient hypogammaglobulinemia of infancy
Authors: Rutkowska-Zapała Magdalena , Grabowska Agnieszka , Lenart Marzena , Kluczewska Anna , Szaflarska Anna , Kobylarz Krzysztof , Pituch-Noworolska Anna , Siedlar Maciej 
Published: November 2023

AbstractTransient hypogammaglobulinemia of infancy (THI) is one of the most common forms of hypogammaglobulinemia in the early childhood. THI is usually associated with chronic, recurrent bacterial and viral infections, life-threatening in some cases, yet its pathogenesis is still largely unknown. As our previous findings indicated the possible role of Treg cells in the pathomechanism of THI, the aim of the current study was to investigate gene expression profile of Treg cells isolated from THI patients. The transcriptome-wide gene profiling was performed using microarray technology on THI patients in two time-points: during (THI-1), and in resolution phase (THI-2) of hypogammaglobulinemia. As a result, a total of 1086 genes were differentially expressed in THI-1 patients, when compared to THI-2 as well as control group. Among them, 931 were up- and 155 downregulated, and part of them encodes genes important for Treg lymphocyte biology and function, i.e. transcription factors/cofactors that regulate FOXP3 expression. Thus, we postulate that Treg cells isolated from THI patients during hypogammaglobulinemia display enhanced suppressor transcriptome signature. Treg expression profile of THI children after normalization of Ig levels largely resembles the results obtained in healthy control group, suggesting THI Treg transcriptome seems to return to that observed in healthy children. Taken together, we suggest that THI pathomechanism is associated not only with transiently elevated Treg cell numbers, but also with their enhanced regulatory/inhibitory functions. These findings expand our knowledge of human Treg cells and may be useful for the future diagnosis or management of THI.
Topological properties analysis and identification of mild cognitive impairment based on individual morphological brain network connectome
Authors: Xu Xiaowen , Chen Peiying , Li Weikai , Xiang Yongsheng , Xie Zhongfeng , Yu Qiang , Tang Ying , Wang Peijun 
Published: November 2023

Abstract
Mild cognitive impairment is considered the prodromal stage of Alzheimer’s disease. Accurate diagnosis and the exploration of the pathological mechanism of mild cognitive impairment are extremely valuable for targeted Alzheimer’s disease prevention and early intervention. In all, 100 mild cognitive impairment patients and 86 normal controls were recruited in this study. We innovatively constructed the individual morphological brain networks and derived multiple brain connectome features based on 3D-T1 structural magnetic resonance imaging with the Jensen–Shannon divergence similarity estimation method. Our results showed that the most distinguishing morphological brain connectome features in mild cognitive impairment patients were consensus connections and nodal graph metrics, mainly located in the frontal, occipital, limbic lobes, and subcortical gray matter nuclei, corresponding to the default mode network. Topological properties analysis revealed that mild cognitive impairment patients exhibited compensatory changes in the frontal lobe, while abnormal cortical–subcortical circuits associated with cognition were present. Moreover, the combination of multidimensional brain connectome features using multiple kernel-support vector machine achieved the best classification performance in distinguishing mild cognitive impairment patients and normal controls, with an accuracy of 84.21%. Therefore, our findings are of significant importance for developing potential brain imaging biomarkers for early detection of Alzheimer’s disease and understanding the neuroimaging mechanisms of the disease.