bluuebunny/crossref_metadata_2025_split huggingface dataset:
Annuli Liquid-Level Surveillance Using Distributed Fiber-Optic Sensing Data
Authors: Haavik Kjetil E. 
Published: October 2023

Summary
Annular pressure buildup due to fluid expansion can be mitigated by using a compressible fluid, typically nitrogen, as a cushion at the top of an annuli. The advantage of using a nitrogen cushion is that we do not have to manipulate annuli pressures as often during variations in production. A disadvantage is that it is more difficult to detect small leaks to or from an annulus. For gas lift-assisted production wells, Annulus A is used for the transportation of gas down to the gas lift valves (GLVs), effectively making up a large gas cushion compared with the full length for the annulus. In light of this, monitoring annular pressures and ensuring continuous control of fluid volumes are essential for effective well barrier management.
We present relevant theory and show that we can track annuli liquid levels using distributed temperature sensing (DTS) and/or distributed acoustic sensing (DAS) data to detect leaks, estimate leak rates, and infer leak paths. We find that the main cause for observing liquid levels in these data is because the equilibrium temperature at the fiber is dependent on the fluid fill of the various annuli in addition to the temperature inside the tubing and outside of the well. Six data examples with variations in liquid level(s) are presented to demonstrate this. Furthermore, simple models for estimating changes in liquid levels are proposed and compared with liquid levels from distributed fiber-optic (FO) data. Being able to detect leaks to or from annuli makes it possible for the operator to apply mitigating action in a timely manner, prevent unwanted well integrity situations, and ensure production regularity.
The effect of carotid sinus neurectomy for carotid restenosis: a study protocol for a double-blinded and randomized controlled trial
Authors: Zhang Zhi , Tang Jun , Ji Xiang , Tao Yihao , Huang Ning , Wen Rong , Cheng Yuan , Xie Zongyi , Liu Guodong , Zhao Guanjian 
Published: October 2023

Abstract
Background: Patients undergoing carotid endarterectomy (CEA) have a high restenosis rate which increase the risk of stroke, and there is still lack of effective treatment for restenosis. The cause of stenosis is related to local inflammatory reactions, Some basic researches have shown that the inflammatory response causing arterial stenosis is closely related to the nerve axons distributed in its outer membrane, and that removal of the nerve is effective in reducing the inflammatory response to prevent arterial stenosis. Therefore, we propose to design a randomized controlled trail to study whether disconnecting carotid sinus nerve during CEA operation can reduce the arterial restenosis.
Method/design: This study is a randomized, double-blind, single-center study. We will recruit 180 patients, who will be randomly divided into the experimental group and the control group. Based on standard CEA operation, the operator searched the carotid sinus nerve on the surface of the internal carotid artery and entirely transected it in the experimental group. Both groups will be guided with the same postoperative treatment, and were followed up every three months for three years after the operation. The main indexes observed will be carotid restenosis rate, incidence and nature of carotid plaque, and carotid blood flow velocity. Other indexes will be arrhythmia, blood pressure variability, and biomarkers of atherosclerosis, such as blood lipid, hsCRP, homocysteine and total bilirubin.
Discussion: It is expected that carotid sinus nerve transection will significantly reduce the occurrence of restenosis after CEA, alleviate the ischemic stroke caused by it, and realize the effective primary prevention of stroke.
Application of MCDM Model Rough DIBR - Fuzzy LBWA - BONFERRONI and Decision Support System DEXi for the Improvement of Earthquake Risk Level Assessment
Authors: Tešić Duško , Bozanic Darko , Puška Adis , Štilić Anđelka , Milić Aleksandar 
Published: October 2023

Abstract
Effective decision-making across various domains of society necessitates the adept use of appropriate methods and software to achieve optimal outcomes. This need becomes especially critical in situations where human lives are in jeopardy, and substantial material damages are at stake. The escalating prevalence of natural disasters worldwide highlights the intrinsic threat they pose to protected values, underscoring the importance of comprehensive risk assessments. The paper explore the implementation of the software DEXi in conjunction with DIBR (Defining Interrelationships Between Ranked criteria) method in a rough environment and Fuzzy LBWA (Level Based Weight Assessment) method. The utilization of the Bonferroni aggregator further enhances the earthquake risk level assessment for protected values in the Republic of Serbia. The Rough DIBR and Fuzzy LBWA methods play a pivotal role in determining the criteria weights, and their values are aggregated with the Bonferroni aggregator. The risk assessment process is conducted using the Decision Support System (DSS) called DEXi. Proposed model undergoes rigorous testing, with authentic data sourced from official Disaster Risk Assessments of three cities and five municipalities in the Republic of Serbia. The validation process firmly establishes the model's credibility, laying a robust foundation for improved earthquake risk assessment practices.
Trichloroethylene induced hepatic injury via M1 macrophage polarization through KDM4A associated with the Wnt/β-catenin pathway in vitro and in vivo
Authors: Zhang Jiaxiang , Huang Hua , Ding Baiwang , Zuo Xulei , Liu Zhibing , Li Shulong , Shen Tong , Zhu Qixing 
Published: October 2023

Abstract
Background & Aims: Trichloroethylene (TCE) is a commonly used organic solvent in industry. Our previous studies have found that TCE can cause liver injury accompanied by macrophage polarization, but the specific mechanism is unclear. The epigenetic regulation of macrophage polarization is mainly focused on histone modification. Histone lysine demethylase 4A (KDM4A) is involved in the activation of macrophages. In this study, we used a mouse model we investigated the role of KDM4A in the liversof TCE-drinking mice and found that the expression of KDM4A, M1-type polarization indicators, and related inflammatory factors in the livers of TCE-drinking mice.
Methods: In the study, BALB/c mice were treated with TCE by drinking water. The mice were randomly divided into 4 groups: 2.5 milligrams per milliliter (mg/mL) TCE dose group (n=24) and 5.0 mg/mL TCE dose group (n=24), TCE used 1% DMSO to aid solubilization, the vehicle control group (drinking water containing 1% DMSO) (n=24), and the blank control group (fed with normal drinking water) (n=24). Drinking water was replaced every 24 h to ensure the stability of the TCE concentration. The mice were sacrificed at four time points of 2, 4, 8 and 12 weeks, and biological sample material were taken aseptically.
Results: TCE triggered M1 polarization of mouse macrophages, characterized by the expression of CD11c and robust production of inflammatory cytokines (e.g., TNF-α andIL-1β). Notably, exposure to TCE resulted in markedly increased expression of KDM4A in macrophages. Functionally, the increased expression of KDM4A significantly impaired the expression of H3K9me3 and H3K9me2 andincreased the expression of H3K9me1. In addition, KDM4A potentially represents a novel epigenetic modulator, with its upregulation connected to β-catenin activation, a signal critical for the proinflammatoryactivation of macrophages. Furthermore, KDM4A inhibitor JIB-04 treatment resulted in a decrease in β-catenin expression andprevented TCE-induced M1 polarization and the expression of the proinflammatory cytokines TNF-α and IL-1β. These results suggest that the association of KDM4A and Wnt/β-catenin cooperatively establishes the activation and polarization of macrophages and global changes in H3K9me3/me2/me1.
Conclusion: Our findings identify KDM4A as an essential regulator of the polarization of macrophages and the expression of inflammatory cytokines, which might serve as a potential target for preventing and treating liver injury caused by TCE.
Experimental studies for thin-layer model validation and microwave drying characteristics of manganese ore considering parameters optimization
Authors: Huang Weiwei , Zhou Ju , Tian Chunlan , Omran Mamdouh , Zhang Fan , Tang Ju , Chen Guo 
Published: October 2023

Abstract
The extraction and utilization of low-grade manganese ore can alleviate the industrial impact of the extreme lack of high-grade pyrochlore resources. The dry pre-processing of minerals is a necessary condition to ensure the safe and efficient operation of the subsequent extraction process. In this paper, green microwave technology was utilized for studying the dynamics of drying experiments at the different initial moisture content of 10%, 15%, 20%, 25%, 30%, and 35%, respectively. The experimental results explain that the initial moisture content of a mineral was positively correlated with its drying rate. Furthermore, the basic theoretical features and dynamics of microwave drying of manganese ore were discussed by fitting and analyzing experimental data with a model of thin-layer drying dynamics. The average correlation coefficient (R2) of the Quadratic model was 0.976. The RSS values obtained by fitting the Quadratic model were 0.01368, 0.01939, and 0.01986, respectively. Compared to the other two models, the Quadratic model can more accurately describe the microwave drying kinetic process of manganese ore than the other two models. Interestingly, the infrared spectrum tests indicated that microwave drying can basically remove the O-H bond, and the change of mineral weight in the drying process was entirely caused by water loss. Through microscopic characterization of minerals, it has been found that microwave drying can reduce the size of mineral particles, which is beneficial to the subsequent roasting and leaching process. The interesting and important findings from this work can be applied to explore more extraction methods for manganese.
What causes less “speaking up” for patient safety among healthcare workers? – A cross sectional study in Malaysia
Authors: Kim Alex Ren Jye , Nishino Kimihiro , Bujang Mohamad Adam , Zulkifli Zubalqiah , Inthaphatha Souphalak , Yamamoto Eiko 
Published: October 2023

Abstract
Background
In healthcare, “speaking up” refers to when healthcare workers raise concern regarding patient safety through questions, sharing information, or expressing their opinion to prevent harmful incidents and ensure patient safety. Conversely, withholding voice is an act of not voicing or raising concerns, which could be beneficial in certain situations. Factors associated with speaking up and withholding healthcare workers’ voices are not fully understood, especially in strongly hierarchical countries, such as Malaysia. This study aimed to examine the factors associated with speaking up and withholding the voices of healthcare workers in Malaysia, thus providing suggestions that can be used in other countries facing similar patient safety challenges.
Methods
This cross-sectional study was conducted in a tertiary hospital in Sarawak State, Malaysia. Data were collected from 474 healthcare workers from 43 departments using a self-administered questionnaire for speaking up and withholding voice measures in the 4 weeks prior to data analysis as well as socio-demographic factors of healthcare workers (gender, age, profession, department, weekly work hours for patient care, years of employment in the hospital, and the hierarchical level) and speaking up related climate of the working environment were recorded. Data were analyzed using descriptive statistics. Logistic regression was performed to find out (adjusted) odds ratio of speaking up and withholding voice.
Results
Nurse, long years of employment, high hierarchical levels, and an encouraging environment for speaking up were positively associated with frequent speaking up. Emergency and intensive care department, long weekly work hours for patient were negatively associated with frequent speaking up. An environment in which healthcare workers avoid speaking up was positively associated with frequent withholding of voice.
Conclusions
Working long hours for patient care and with healthcare workers from different disciplines where hierarchical structure does not work, as seen in emergency and intensive care department, cause less speaking up. Our study has unearthed the necessity of establishing an encouraging environment that promotes speaking up and prevents withholding of voices, especially in circumstances where multiple types of healthcare workers with various socio-demographics work together across hierarchical structure, to ensure patient safety and prevent harm.
Feasibility and accuracy of noninvasive continuous hemoglobin monitoring using transesophageal photoplethysmography
Authors: Peng Ling , Zhao Long , Zhang Xue , Zhang Yi , Ding Meng , Lin Zhibin , Jiang Hao , Huang Yuchen , Gao Bo , Wei Wei 
Published: October 2023

Abstract
Background
Continuous and noninvasive hemoglobin (Hb) monitoring during surgery is essential for anesthesiologists to make transfusions decisions. The aim of this study was to investigate the feasibility and accuracy of noninvasive and continuous Hb monitoring using transesophageal descending aortic photoplethysmography (dPPG) based on near-infrared spectroscopy (NIRS) technology.
Methods
Nineteen landrace pigs, aged 3 to 5 months and weighing 30 to 50 kg, were enrolled in this study. A customized oximetry sensor, including red (660nm) and infrared (940nm) lights, was placed in the esophagus for dPPG signal detection to pair with the corresponding reference Hb values (Hbi−STAT) measured by blood gas analysis. The decrease and increase changes in Hb concentration were achieved by hemodilution and transfusion. Metrics, including alternating current (AC), direct current (DC), and AC/DC for both red and infrared light were extracted from the dPPG signal. A receiver operating characteristic (ROC) curve was built to evaluate the performance of dPPG metrics in predicting Hb level. Agreement and trending ability between Hb measured by dPPG (HbdPPG) and by blood gas analysis were analyzed by Bland-Altman method and polar plot graph. Error grid analysis was also performed to evaluate clinical significance of HbdPPG measurement.
Results
A total of 376 pairs of dPPG signal and Hbi−STAT were acquired. ACred/DCred and ACinf/DCinf had moderate correlations with Hbi−STAT, and the correlation coefficients were 0.790 and 0.782, respectively. The areas under the ROC curve for ACred/DCred and ACinf/DCinf in predicting Hbi−STAT < 60 g/L were 0.85 and 0.75, in predicting Hbi−STAT > 100 g/L were 0.90 and 0.83, respectively. Bland-Altman analysis and polar plot showed a small bias (1.69 g/L) but a wide limit of agreement (-26.02–29.40 g/L) and a poor trend ability between HbdPPG and Hbi−STAT. Clinical significance analysis showed that 82% of the data lay within the Zone A, 18% within the Zone B, and 0% within the Zone C.
Conclusion
It is feasible to establish a noninvasive and continuous Hb monitoring by transesophageal dPPG signal. The AC/DC extracted from the dPPG signal provided a sensitive prediction for Hb < 60 g/L and Hb > 100 g/L. The Hb concentration measured by dPPG signal has a moderate correlation with that measured by blood gas analysis.
The Energy Landscape of Magnetic Materials
Authors: Ponet Louis , Lucente Enrico Di , Marzari Nicola 
Published: October 2023

Abstract
Magnetic materials can display many solutions to the electronic-structure problem, corresponding to different local or global minima of the energy functional. In Hartree-Fock or density-functional theory different single-determinant solutions lead to different magnetizations, ionic oxidation states, hybridizations, and inter-site magnetic couplings.
The vast majority of these states can be fingerprinted through their projection on the atomic orbitals of the magnetic ions.
We have devised an approach that provides an effective control over these occupation matrices, allowing us to systematically explore the landscape of the potential energy surface.
We showcase the emergence of a complex zoology of self-consistent states; even more so when semi-local density-functional theory is augmented - and typically made more accurate - by Hubbard corrections.
Such extensive explorations allow to robustly identify the ground state of magnetic systems, and to assess the accuracy (or not) of current functionals and approximations.
Zero-shot prediction of mutation effects on protein function with multimodal deep representation learning
Authors: Shu Wenjie , Cheng Peng , Mao Cong , Tang Jin , Yang Sen , Gu Qiuxi , Han Wei , Chen Yaofeng , Zhou Jianglin , Li Wuju , Pan Aimin , Zhao Suwen , Huang Xingxu , Zhang Jun , Zhu Shiqiang , Wang Sheng-Qi 
Published: October 2023

Abstract
Mutations in amino acid sequences can disrupt protein structures and functions. Accurate and unsupervised prediction of mutation effects is critical in biotechnology and biomedicine, but remains a fundamental challenge. To resolve this challenge, we first presented a multimodal deep representation learning model that comprehensively learns both sequence context and structural constraints from ~160 million proteins with reliable structures. Based on the proposed model, we developed ProMEP (Protein Mutational Effect Predictor) to predict mutation effects in a zero-shot manner. ProMEP can capture multi-scale signatures of proteins at atomic-resolution and achieves state-of-the-art (SOTA) performance on mutational effects prediction. ProMEP showed an average accuracy of 91.67% during the engineering of the TnpB protein. Remarkably, ProMEP identified a TnpB variant of triple-mutations with approximately 2.4-fold editing efficiency than the wild-type. ProMEP enables efficient exploration of gigantic protein space and will greatly facilitate studies in protein structures and functions.
Surface Engineering of Halide Perovskites with 2D Covalent Organic Framework Nanoparticles for Surface-Enhanced Gas Capture with Ultra-sensitive Sensing Properties
Authors: Lu Jianmei , Ye Wen , Jiang Lihua , Xu Qingfeng , Chen Dongyun 
Published: October 2023

Abstract
Halide perovskites exhibit excellent semiconductor properties, defect insensitivity, and easy processability, making them promising candidates for detecting ultralow-concentration gases. However, as bipolar semiconductors, perovskites can respond to gases with different properties, which has inhibited their applicability in gas sensing. Here, we propose a novel approach to enhance the gas selectivity and sensitivity of halide perovskites by effectively assembling covalent organic framework nanoparticles with large specific surface areas and abundant active sites on their surfaces. This modification enhances the gas-carrying capacity of the sensing material, thereby significantly improving the selectivity and sensitivity of the sensor. Using TAPB-PDA and TAPA-PDA covalent organic framework nanoparticles to adsorb low concentrations of NO2 present in the environment, we observed a substantial increase in the sensing signal intensity. This allows the direct discrimination of ultra-low concentrations (10 ppb) of NO2 while limiting the detection of other gases.
Explore the prognostic characteristics of immunogenic cell death-related genes in colon carcinoma based on multi-constraint canonical correlation analysis combined with multi-omics
Authors: Xiong Xinyi , Cao Qian , Tang Jiangnan , He Lan , Shi Hongjian , Zhou Fangliang , He Yingchun 
Published: October 2023

Abstract
Colon carcinoma is a highly malignant tumor, its early symptoms are not obvious, and its prognosis is poor. Therefore, it is urgent to develop more prognostic markers of colon cancer. Many long non-coding RNAs (lncRNAs) have been proven to play an active role in tumor diagnosis, prognosis, and immunotherapy. On the other hand, the crucial role of immunogenic cell death (ICD) is in tumor inhibition. This paper aims to integrate ICD-related genes with lncRNAs and explore the mechanism of action of ICD-related lncRNAs in colon cancer. Therefore, this paper proposes a multi-constraint canonical correlation analysis to explore ICD-related lncRNAs. Furthermore, this paper uses univariate and Lasso-Cox regression to construct and verify the prognosis model of the top important lncRNAs. In this paper, according to the model's risk score, colon cancer samples are divided into a high-risk group and a low-risk group, and the effect of the model is verified based on the TCGA queue and GEO queue, respectively. In addition, we analyzed the similarities and differences in functional enrichment, immune infiltration, and drug sensitivity between the two risk groups in detail. There was a significant difference in the infiltrating abundance of T cells CD8 between high- and low-risk groups. Therefore, this article re-clusters T cell clusters based on single-cell sequencing (scRNA-seq) data of colon cancer. The unique pathways involved in the genes of the CD8 subpopulation of T cells and their communication with other T cell subpopulations were explored. In summary, the ICD-related lncRNAs risk model determined in this paper can provide a reference for predicting colon cancer patients' prognosis and drug sensitivity.
A Case of Bilateral Amyloidosis Localized to Extraocular Muscles Mimicking Thyroid Eye Disease
Authors: Yoshida-Hata Natsuyo , Mimura Masashi , Aikawa Miwa , Kashima Tomoyuki 
Published: October 2023

Abstract
Background:Amyloidosis is a rare condition characterized by the abnormal deposition of amyloid proteins in various tissues and organs. While systemic amyloidosis has been well-documented, amyloid deposition in extraocular muscles is an exceptionally rare occurrence, with only 35 reported cases. This case report sheds light on the importance of considering amyloidosis in the differential diagnosis of patients presenting with proptosis and diplopia, which are often associated with thyroid eye disease.
Case Presentation: A woman in her twenties sought medical attention due to a complaint of diplopia. Her ocular examination revealed almost normal findings except for exotropia and proptosis. Orbital magnetic resonance imaging displayed fusiform enlargement of nearly all eye muscles, a presentation typically observed in thyroid eye disease. However, despite corticosteroid therapy, her symptoms showed no improvement. Given the unusual lack of response to conventional treatment, and inhomogeneous enhancement of the muscle, an extraocular muscle biopsy was conducted. This biopsy yielded a unique finding—amyloid deposition within the muscle tissue. This discovery was particularly intriguing due to the extreme rarity of amyloidosis affecting extraocular muscles, with fewer than three dozen documented cases worldwide.
Conclusion: This unique case underscores the critical need for a comprehensive approach to diagnosing patients with proptosis and diplopia. While these symptoms are commonly attributed to thyroid eye disease, it is essential to consider alternative diagnoses such as amyloidosis, especially when standard treatments fail to yield results. The discovery of amyloid deposition in the extraocular muscles, although exceedingly rare, emphasizes the significance of a thorough differential diagnosis.
In conclusion, this case report highlights the importance of vigilance in clinical practice, encouraging ophthalmologists to explore less common diagnostic possibilities when faced with challenging cases. Further research and clinical investigation are warranted to better understand the mechanisms and potential treatments for amyloidosis affecting the extraocular muscles.