bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on evaluation method of failure pressure for corrosion cluster defects based on failure location
Authors: mingming sun , yanfei chen , wenhua wang , xin Li 
Published: April 2023

Abstract
The interaction between adjacent defects significantly influences the internal pressure bearing capacity of corroded pipelines. Therefore, the interaction between adjacent defects must be considered as evaluating the failurepressure of pipeline with corrosion cluster defects. The existing failure pressure evaluation methods of pipeline with corrosion cluster defects have the disadvantages of complex evaluation steps and poor applicability. In the paper, the failure mode of pipeline with corrosion cluster of two or more defects is studied by burst experiment of full-scale pipeline. The results show that for the corrosion clustercomposed of defects with obvious difference in internal pressure bearing capacity, the failure position is the defect with the minimum internal pressure bearing capacity; for the corrosion cluster composed of defects with no noticeable difference in internal pressure bearing capacity, the failure location is the defect in the center of the range of corrosion cluster. Based on the failure position of corrosion cluster, a "center failure location" method is proposed to evaluate the failure pressure of corrosion cluster defects. The method takes the defect in the failure position as the center, the influence of adjacent defects which interact with the central defect on its failure pressure is considered, and then the failure pressure of pipeline with corrosion cluster defects centered on the failure location is evaluated. Compared with the existing evaluation methods, the prediction error of this method is not reduced, but the evaluation conditions are less and the evaluation method is simple to operate and more applicable.
Unravelling origin and diversity of a non-native fish in Iran; Hemiculter leucisculus (Basilewsky, 1855) and its response to climate change
Authors: Oskooii Parastoo Rashedi , khoshnamvand hadi , Azimi Maryam , Ahmadzadeh Faraham , Abdoli Asghar 
Published: April 2023

Abstract
Non-native and invasive species are the second leading cause of species extinction and one of the major threats to freshwater ecosystems. Hemiculter leucisculus is one of the introduced species of Iran's aquatic ecosystems for many years (1967) that has been reported from Iran in the Anzali wetland for the first time. The aim of the current study is to assess the diversity and origin of H. leucisculus a non-native species and also its response to current and future climate change in Iran's freshwater. To this, we collected the specimen from the species distribution range in the country and performed the mitochondrial gene, cytochrome b (cytb) combining them with the 84 GenBank(NCBI) sequences. In addition, an ensemble model approach was used for future Species Distribution Modelings (SDMs) and it was estimated according to two Shared Socio-economic Pathways (SSPs): 126 and 585 of the MRI-ESM2 based on CMIP6. According to our results, all the samples examined in the current study originated from the same locatlity, the river basins of china. The results also show a high genetic and haplotype diversity that can have a positive effect on the success of its non-native in different catchments of inland waters of Iran. Afterward, the result of SDM maps, clearly illustrated that climate change would significantly affect the distribution of H. leucisculus and it showed a sharp tendency to expand over time in its distribution areas.
Defining, Detecting and Assessment of Microstructures in Different Stages of Sleep Apnea Transients Using ECG and EEG Features in CSA and OSA Patients
Authors: Kocak Onur , Telatar Ziya , Ficici Cansel , Erogul Osman 
Published: April 2023

Abstract
The sleep recordings of 32 patients with obstructive sleep apnea (OSA) and central sleep apnea (CSA) were analyzed with signal processing and statistical methods. The aim of the present study was to analyze electrocardiogram (ECG) and electroencephalogram (EEG) signals, along with other polysomnography (PSG) outcomes, according to sleep stages, sleep apnea types, and apnea/hypopnea index, and to demonstrate their association with EEG microstructures that cannot be detected visually. Patients were classified into groups according to the apnea/hypopnea index (AHI) and, results were classified according to types of apnea, and the apneas that were detected during all sleep stages (N1-N2-N3 and REM). ECG and EEG signals were analyzed with time-frequency methods. Analysis was carried out during epoch at apnea (intra-apnea), epoch before apnea (pre-apnea), and epoch after apnea (post-apnea). The findings of the present study are presented as different tables in the Results and Discussion sections, and were discussed in the Conclusion section.
Feeding Snails (Archachatina marginata) with Leaves: Growth Performance, Carcass Characteristics, Nutrient Digestibility, Proximate Composition and Minerals Contents of Snail Meat.
Authors: Obakanurhe Oghenebrorhie , Irabor Arnold Ebuka , Okpara Oghenesuvwe , Pierre Hardin 
Published: April 2023

Abstract

A twelve (12) weeks feeding trial on nine hundred and sixty (960) African giant land snails (Archachatina marginata ) fed various leaves was evaluated. The snails were allotted randomly on their experimental diets. The experimental diets were domestic wastes designated as the control (T1), Centrosema pubescence leaves (T2), Moringa oleifera leaves (T3), and sweet potato leaves as (T4). Each treatment had two hundred and forty snails and was replicated four times with sixty snails each per replicate. The proximate compositions of these leaves were analyzed and showed significant values on the moisture content, crude protein, ether extracts, crude fiber, ash, and Nitrogen free extracts respectively. Data were collected on the performance, carcass characteristics, nutrient digestibility, proximate composition and minerals contents of snail meat. The results on the final weight, weight gain, average weight gain and FCR of snails showed that T4 (121.46, 36.10, 0.52g and 1.49­­ ) were significantly (p &lt;0.05) different across treatment groups. Results on carcass characteristics showed that T4 had superior live weight, dressed weight, foot and dressing percentage values compared to the other groups. Also, T4 revealed significantly (p&lt;0.05) different across the diets on nutrient digestibility, proximate compositions of snail meat and the mineral composition of the snail meat compared to the other treatments. The study concluded that T4 (sweet potato leaves) significantly influences the performance, carcass characteristic and mineral compositions of the snail meat and should be recommended as snail diet for optimum performance at an affordable cost.
The Planetary Child Health and Enterics Observatory (Plan-EO): a Protocol for an Interdisciplinary Research Initiative and Web-Based Dashboard for Climate-Informed Mapping of Enteric Infectious Diseases and their Risk Factors and Interventions in Low- and Middle-Income Countries
Authors: Colston Josh M. , Chernyavskiy Pavel , Gardner Lauren , Fang Bin , Houpt Eric , Swarup Samarth , Badr Hamada , Zaitchik Benjamin , Lakshmi Venkataraman , Kosek Margaret 
Published: April 2023

Abstract

Background: Diarrhea remains a leading cause of childhood illness throughout the world and is caused by various species of ecologically sensitive pathogens. The emerging Planetary Health movement emphasizes the interdependence of human health with natural systems, and much of its focus has been on infectious diseases and their interactions with environmental and human processes. Meanwhile, the era of big data has engendered a public appetite for interactive web-based dashboards for infectious diseases. However, enteric infectious diseases have been largely overlooked by these developments.
Methods: The Planetary Child Health and Enterics Observatory (Plan-EO) is a new initiative that builds on existing partnerships between epidemiologists, climatologists, bioinformaticians, and hydrologists as well as investigators in numerous low- and middle-income countries. Its objective is to provide the research and stakeholder community with an evidence base for the geographical targeting of enteropathogen-specific child health interventions such as novel vaccines. The initiative will produce, curate, and disseminate spatial data products relating to the distribution of enteric pathogens and their environmental and sociodemographic determinants.
Discussion: As climate change accelerates there is an urgent need for etiology-specific estimates of diarrheal disease burden at high spatiotemporal resolution. Plan-EO aims to address key challenges and knowledge gaps by making rigorously obtained, generalizable disease burden estimates freely available and accessible to the research and stakeholder communities. Pre-processed environmental and EO-derived spatial data products will be housed, continually updated, and made publicly available to the research and stakeholder communities both within the webpage itself and for download. These inputs can then be used to identify and target priority populations living in transmission hotspots and for decision-making, scenario-planning, and disease burden projection.
Study registration: PROSPERO protocol #CRD42023384709
The male imago of Fittkaulus cururuensis Savage, 1986 (Leptophlebiidae: Ephem eroptera)
Authors: Lima Lucas , Ottoni-Boldrini Bianca M. P. , BOLDRINI RAFAEL 
Published: April 2023

Abstract
The Leptophlebiidae family of mayflies is diverse, with over 640 species and 140 genera worldwide. One of its subfamilies, Terpidinae, is restricted to the Neotropical region and consists of three genera, including Fittkaulus, which have four South American species. This paper describes the male imago of F. cururuensis, which was previously unknown, based on specimens collected in streams in the Caatinga and Amazon Forest regions of northern and northeastern Brazil. It can be differentiate by having the following combination of characteristics: upper portions of eyes on short stalk; forewing with reddish brown macula; abdominal terga I–VIII with posterior and lateral margins washed with black; penes with proximal half fused, distal half with a globose lateral lobe, and with a long, apically pointed and tubular medial lobe.
Molecular rearrangement of bicyclic peroxy radicals: key route to aerosol from aromatics
Authors: Iyer Siddharth , Kumar Avinash , Savolainen Anni , Barua Shawon , Daub Christopher , Pichelstorfer Lukas , Roldin Pontus , Garmash Olga , Seal Prasenjit , Kurtén Theo , Rissanen Matti 
Published: April 2023

Abstract
The oxidation of aromatics contributes significantly to the formation of atmospheric aerosol. Using toluene as an example, we demonstrate the existence of a novel molecular rearrangement channel in the oxidation mechanism. Based on both flow reactor experiments and quantum chemical calculations, we show that the bicyclic peroxy radicals (BPRs) formed in OH-initiated aromatic oxidation are much less stable than previously thought, and in the case of the toluene derived ipso-BPRs, lead to aerosol-forming low-volatility products with up to 9 oxygen atoms on sub-second timescales. Similar results are predicted for ipso-BPRs formed from many other aromatic compounds. This new reaction class is likely a key route for atmospheric aerosol formation, and including the molecular rearrangement of BPRs may be vital for accurate chemical modeling of the atmosphere.
An intelligent diagnosis method for typical co-frequency vibration faults of rotating machinery based on SAE and ensembled ResNet-SVM
Authors: Zhang Xiancheng , Pan Xin , Zeng Hao 
Published: April 2023

Abstract

Intelligent fault diagnosis is an important method in rotating machinery fault diagnosis and equipment health management. To deal with co-frequency vibration faults, a type of typical fault in rotating machinery, this paper proposes a fault diagnosis method based on the stacked autoencoder (SAE) and ensembled ResNet-SVM. Furthermore, the time- and frequency-domain features of several co-frequency vibration faults are summarized based on the mechanism analysis and calculated using actual vibration data. To realize and validate the high-precision diagnosis method of rotating equipment with co-frequency faults proposed in this study, the following three criteria are required: First, to improve the effectiveness and robustness of the ensembled model and the sliding window using data augmentation, adding noise, autoencoder (AE) and SAE methods are analyzed in terms of principle and practical effects. Second, ResNet is used as the feature extractor for the ensembled ResNet-SVM model. Feature extraction is carried out twice, and the extracted co-frequency fault features are more comprehensive. Finally, the data augmentation method and ensemble ResNet-SVM are combined for fault diagnosis and compared with other methods. The experimental results show that the accuracy of the proposed method can exceed 99.9%.
A Data-based Scheduling Methodology for Constructing Hydrogen Refueling Stations
Authors: Kim Soo Hwan , Ryu Jun-Hyung 
Published: April 2023

Abstract
Hydrogen is drawing increasing attention as a carbon neutral energy carrier. The effects of climate change are increasing the pressure to establish hydrogen energy infrastructure. To facilitate the transition to hydrogen energy, a large number of hydrogen refueling station (HRS)s should be constructed throughout the entire transportation network. With a limited financial budget, constructing them simultaneously is not possible. However, it is economically to develop a systematic decision-making framework for determining construction priorities for HRSs. In this study, we proposed p-medianbased mixed integer linear programming (MILP) models to select location and construction priorities. The models aim to maximize the contribution impact that is represented by the sum of average distances between HRS and its allocated hydrogen vehicles. The metropolitan city of South Korea, Seoul is used as a case study to illustrate the applicability of the proposed methodology.
Intelligent Microseismic Monitoring of Mineral Equipment Manufacturing Industry Based on Deep Learning in the Artificial Intelligence Environment
Authors: Hu Fan , Peng Liang , Zheng Bokun , Huang Tenglong , Jiang Ke , Zhu Xin 
Published: April 2023

Abstract
To prevent major disasters caused by mine engineering, the structure and early warning effect of microseismic monitoring systems in the mineral equipment manufacturing industry based on deep learning (DL) are explored under the background of artificial intelligence (AI). The purpose is to provide a reference for predicting the law of strata movement under high-intensity mining conditions. In this study, firstly, the principle of the microseismic monitoring sensor system is analyzed, and the structure of the microseismic monitoring system of intelligent mining face in the mineral equipment manufacturing industry is further understood. Secondly, as one of the AI technologies, DL introduces the Convolutional Neural Network (CNN) and transfer learning (TL) into the processing and intelligent warning of mine microseism signals. Moreover, an intelligent microseismic monitoring system based on CNN and TL for the mineral equipment manufacturing industry is constructed to realize the identification of microseismic events. Finally, taking the Xiaojihan coal mine as an example, the microseismic activity regularity of its mining face is analyzed, and the performance of various microseismic signal recognition models is compared. The results reveal that the TL-CNN algorithm in the model constructed in this study has the best performance. Compared with other methods, Mean Absolute Error, Root Mean Square Error, and Mean Absolute Percentage Error indicators have decreased by at least 28.2%, 21.0%, and 36.2%. This shows that the TL-CNN model-based multi-input sequence model is more suitable for forecasting rockburst risk. The mining microseismic signal processing model based on the CNN discussed here provides a reference basis for ensuring the accuracy of rockburst microseismic warning to some extent.
Changes of sleep patterns in primary care workers during the first wave of the COVID-19 pandemic in 2022 in Shanghai
Authors: Cao Wenshu , Li Xiaoting , Yan Yini , Zhou Jianfeng , Ye Jizhong , Lv Qiwei 
Published: April 2023

Abstract
Background The COVID-19 pandemic has had a significant influence on the sleep health of healthcare workers (HCWs); however, there are no studies on this aspect in primary HCWs. The purpose of this cross-sectional, web-based study was to explore the prevalence and factors associated with sleep disorders among primary care providers during the first COVID-19 outbreak in 2022 in Shanghai.
Methods: From July 12 to August 15, 2022, primary HCWs were invited to participate in a survey of their sociodemographic and work-related characteristics, various sleep dimensions (regularity, quality, daytime sleepiness, timing, efficiency, and duration), and exposure to COVID-19 patients and a screening for common mental disorders (depression, burnout, and stress).
Results: A total of 313 primary HCWs participated the survey, representing 11 distinct healthcare roles. 84% of respondents showed a deterioration in at least one sleep dimension compared to those at pre-pandemic levels; sleep quality (decline of 66%) and daytime sleepiness (increase of 56%) were the most strongly affected domains. After excluding 145 primary HCWs with pre-pandemic “poor sleep,” positive depression screening (odds ratio [OR], 3.08; 95% confidence interval [CI], 1.59–5.98), weekly burnout symptoms (OR, 2.57; 95% CI, 1.32–5.03), and high psychological stress (OR, 4.51; 95% CI, 2.09–9.72) were associated with poor sleep patterns during the pandemic. After adjusting for significant differences between groups, for every 1-point increase in the perceived stress scale score, there was an associated 12% increased risk of poor sleep (adjusted OR, 1.12; 95% CI, 1.05–1.21; P=0.002).
Conclusion: A majority of the primary HCWs showed a significant worsening of sleep quality, with an increase in daytime sleepiness, during the first wave of the COVID‑19 pandemic in 2022 in Shanghai. HCWs with high stress were at a greater risk of sleep disorders.
An approach to reduce Descemet’s membrane scrolling: Relevance to Descemet’s membrane endothelial keratoplasty (DMEK)
Authors: Dua Harminder , Freitas Rui , Sadek Youssef , Ting Darren , Nublie Mario , Mohammed Imran , Said Dalia 
Published: April 2023

AbstractBackground/Objectives:To determine whether Descemet’s membrane (DM) scrolling occurs primarily along the vertical or horizontal axis and establish whether oval trephination along the axis of least scrolling can reduce the grade of the scroll.Subjects/Methods:The longest limbus-to-limbus axis on 28 sclero-corneal discs was taken as the horizontal axis. The horizontal (n=7) or (right angles to it) vertical (n=6) axis was marked on the DM before peeling it off. The direction and grade of scrolling was observed. Narrow strips (3-4mm wide) were then cut along the two axes (n=4 each) and the scrolling pattern observed. Ellipses (7x9mm) of DM were punched along the two axes (n=6 each) and the scrolls graded. Immunofluorescent staining for elastin, on horizontal and vertical tissue sections from 3 DM samples was performed. The intensity and thickness of elastin staining were measured.Results:24 (85.72%) DM samples showed scrolling along the horizontal axis, none along the vertical axis, and 4 (14.28%) showed a spiral scroll, regardless of which axis was marked (grade 3.7 and 3.6). Vertically oval discs showed significantly reduced scrolling (grade 1.2) compared to horizontally oval discs (grade 3.5). Narrow strips of DM showed a similar scrolling pattern. Immunohistology showed no difference in any of the parameters examined, along the two axes or from center to periphery.Conclusion:DM scrolls primarily along the horizontal axis. Vertically oval DM samples show minimal scrolling, which can be an advantage in DMEK. The differential scrolling is not determined by the distribution of elastin.
Rapid Online Fault Diagnosis of High-Resistance Connection in PMSM Drive System through Self-Developed Dynamic Simulation Test System
Authors: Guo Wenchao , Yang Lin , Li Jilin , Deng Zhongwei 
Published: April 2023

Abstract
High-resistance connections (HRC) in permanent magnet synchronous motor (PMSM) drive system is a precursor of uncontrollable overheating or fire. However, the current HRC test environment is typically founded on fixed resistors and lacks the capability to simulate the dynamic characteristics of real-world HRC faults in a manner of stepless regulation. To fill the gap, a flexible HRC injection strategy is proposed in this paper. This signal is stimulated by a high-frequency equivalent circuit regulated by closed-loop hardware feedback mechanism, which is then integrated into a self-developed HRC dynamic test system. Meanwhile, to reduce dependence on online resources, a rapid online diagnosis method for detecting HRC in PMSM is proposed. Based on the two-phase current, the negative-sequence currents are calculated and subjected to Fast Fourier Transform analysis, fulfilling the requirements of low computational burden and real-time performance. Furthermore, the fault indicators derived from the mathematical model of PMSM in abc framework are established to detect the HRC fault, obviating the need for additional voltage sensors. Finally, various experiments are conducted under different loads and rotational speeds. The experimental results show that the proposed simulation system can solve the problems of HRC simulation with quick responses, continuous control, and high robustness in high-power circuits. The results also prove that the proposed diagnosis method can not only effectively detect the location of HRC, but also can precisely calculate the resistance.
Influence of a volcanic eruption on a flight route: The case of the 2020 Taal eruption in the Philippines
Authors: Solodova Aleksandra , Takebayashi Mikio , Onishi Masamistu , Iguchi Masato 
Published: April 2023

Abstract
This study uses the case study of the 2020 Taal volcano eruption in the Philippines to analyze the influence of a large volcanic eruption on flight routing, by applying trajectory clustering technology and proposing ways to avoid accidents and system malfunctioning risks caused by the volcanic ash. We adopt the hierarchical density-based spatial clustering of applications with noise (HDBSCAN) algorithm to classify the trajectories. Additionally, we use the Fréchet distance to measure the distance among trajectories of the same flight. We downloaded the observation data, recorded from January 1, 2020 to January 31, 2020, from Flightradar24 as well as the information of the diffusion of the volcanic ash from Tokyo Volcanic Ash Advisory Center (VAAC). Through the case study, we found that (i) the airlines either cancel or reroute flights that fly through or near a heavily ash-contaminated area within 24 h; (ii) after 24 h, airlines have two options for flights that depart within a couple of hours: “keeping the special operation” or “getting back to the regular” in the case of the 2020 Taal volcano.