bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sonometric assessment of cough predicts extubation failure. SonoWean: a proof-of-concept study
Authors: Bonny Vincent , Joffre Jeremie , Gabarre Paul , Urbina Tomas , Missri Louai , Ladoire Mathilde , Gasperment Maxime , Baudel Jean-Luc , Guidet Bertrand , Dumas Guillaume , Maury Eric , Brochard Laurent , Ait-Oufella Hafid 
Published: August 2023

Abstract
Background Extubation failure is associated with increased mortality. Cough ineffectiveness may be associated with extubation failure but its quantification for patients undergoing weaning from invasive mechanical ventilation (IMV) remains challenging.Methods patients under IMV for more than 24 hours completing a successful spontaneous T-tube breathing trial (SBT) were included. At the end of the SBT, we performed quantitative sonometric assessment of three successive coughing efforts using a sonometer. The mean of the 3-cough volume in decibels was named Sonoscore.Results During a 1-year period, 106 patients were included. Median age was 65 [51–75] years, mainly men (60%). Main reasons for IMV were acute respiratory failure (43%), coma (25%) and shock (17%). Median duration of IMV at enrollment was 4 [3–7] days. Extubation failure occurred in 15 (14%) patients. Baseline characteristics were similar between success and failure extubation groups, except percentage of simple weaning which was lower and MV duration which was longer in extubation failure patients. Sonoscore was significantly lower in patients who failed extubation (58 [52–64] vs. 75 [70–78] dB, P < 0.001). After adjustment on MV duration and comorbidities, Sonoscore remained associated with extubation failure. Sonoscore was predictive of extubation failure with an area under the ROC curve of 0.91 (IC 95% [0.83–0.99], P < 0.001). A threshold of Sonoscore < 67.1 dB predicted extubation failure with a sensitivity of 0.93 IC 95% [0.70–0.99] and a specificity of 0.82 IC 95% [0.73–0.90].Conclusion Sonometric assessment of cough strength might be helpful to identify patients at risk of extubation failure in patients undergoing IMV.
Prognostic value of different surgical treatment strategies in patients with colorectal cancer liver metastases
Authors: Luo MingPeng , Yuan Li , Gao Xin , Cao Qiaochang , Zhou Jichun , Ruan Shanming , Zhang Bo 
Published: August 2023

Abstract
Objective
This study aimed to evaluate the prognostic value of different surgical treatment options selected based on the clinical and pathological characteristics of colorectal liver metastasis (CLM) patients through a retrospective study.
Materials and Methods
A retrospective analysis was conducted on CLM patients from 2000 to 2018 based on the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate regression analysis and propensity score matching were used to evaluate the survival outcomes and risk factors of different surgical treatment strategies.
Results
A total of 32,308 eligible CLM patients were included in this study, with 15,409 (47.69%) patients receiving no surgery, 469 (1.45%) patients undergoing liver cancer surgery only without colorectal cancer surgery, 11,559 (35.78%) patients undergoing colorectal cancer surgery only without liver cancer surgery, and 4,871 (15.08%) patients undergoing both liver cancer and colorectal cancer surgery. Multivariate survival analysis showed that patients who underwent both surgeries had the best prognosis, while patients who underwent only liver cancer surgery or only colorectal cancer surgery had similar survival curves, indicating similar prognostic outcomes. Patients who did not undergo surgery had the worst prognosis (P < 0.001). Propensity score matching eliminated potential confounding factors and verified the aforementioned findings.
Conclusion
In all conditions, even when only partial conditions meet the indications for surgery, proactive surgical treatment remains the primary choice with adequate consideration for safety. Personalized surgical resection strategies contribute to improved survival rates for patients.
K-line tilt: A novel potential predictive indicator for the effectiveness of conservative cervical spondylotic radiculopathy management
Authors: Deng Wei , Zhou Qingsong , Zhou Yue , Chen Qian , Wang Shengtao , Yin Yong , Feng Ganjun 
Published: August 2023

Abstract
Background: Cervical spondylotic radiculopathy is a prevalent degenerative cervical spine disease. K-line tilt is a recently discovered cervical spine sagittal plane parameter. However, the relationship between K-line tilt and conservative cervical spondylotic radiculopathy management remains unknown.
Methods: We retrospectively analyzed the clinical records of 188 patients with cervical spondylotic radiculopathy who were conservatively treated at our hospital from May 2016 to May 2022. The effective and ineffective conservative treatment groups included 90 patients and 98 patients, respectively. Cervical sagittal parameters, including K-line tilt, C2–C7 sagittal plane axial vertical distance (C2–C7 SVA), T1 slope, and C2–C7 lordosis, were measured and compared. Multiple logistic regressions were conducted to analyze risk factors for effective conservative treatment.
Results: The results revealed that K-line tilt and C2–C7 lordosis were significantly different for the effective and ineffective groups (P < 0.05). Multifactorial regression analysis revealed a K-line tilt of <6.11° as a risk factor for effective conservative cervical spondylotic radiculopathy treatment (P < 0.05), and receiver operating characteristic curves demonstrated a moderate diagnostic value with an area under the curve of 0.77.
Conclusions: This study confirms K-line tilt (<6.11°) as a potential risk factor for the effectiveness of conservative cervical spondylotic radiculopathy treatment. Conservative treatment may be less effective when the K-line tilt of the cervical spine is >6.11°.
Co-culturing with Streptococcus anginosus alters Staphylococcus aureus transcriptome when exposed to tonsillar cells
Authors: Bastakoti Srijana , Pesonen Maiju , Ajayi Clement , Julin Kjersti , Corander Jukka , Johannessen Mona , Hanssen Anne Merethe 
Published: August 2023

Abstract
Improved understanding of Staphylococcus aureus throat colonization in the presence of other co-existing microbes is important for mapping S. aureus adaptation to the human throat, and recurrence of infection. Here, we explore the responses triggered by the encounter between two common throat bacteria, S. aureus and Streptococcus anginosus, in the presence of human tonsillar epithelial cells, to identify genes in S. aureus that are important for colonization competition. We performed an in vitro co-culture experiment followed by RNA sequencing to identify important pathways and biological processes affected. A total of 332 and 279 significant differentially expressed genes were identified after 1 h and 3 h post-infection, respectively. S. aureus expression of genes encoding proteins involved in adhesion, immune evasion and iron regulation or homeostasis were altered during co-culturing with S. anginosus and host cells. These findings may be useful for development of interventions against S. aureus throat colonization and could be further investigated to decipher the detailed roles of the identified genes in the host immune response in the context of a throat commensal landscape.
Disentangling boredom from depression using the phenomenology and content of involuntary autobiographical memories
Authors: Yeung Ryan C. , Danckert James , Tilburg Wijnand A. P. Van , Fernandes Myra A. 
Published: August 2023

Abstract
Recurrent involuntary autobiographical memories (IAMs) are memories retrieved unintentionally and repetitively. We examined whether the phenomenology and content of IAMs could differentiate boredom and depression, both of which are characterized by affective dysregulation and spontaneous thought. Participants (n = 2,484) described their most frequent IAM and rated its phenomenological properties (e.g., valence). Structural topic modeling, a method of unsupervised machine learning, identified cohesive content within the described memories. Boredom proneness was positively correlated with depressive symptoms, and both were correlated with more negative recurrent IAMs. Boredom proneness predicted less vivid recurrent IAMs, whereas depressive symptoms predicted more vivid, negative, and emotionally intense ones. Memory content also diverged; topics such as relationship conflicts were positively predicted by depressive symptoms, but negatively predicted by boredom proneness. Phenomenology and content in recurrent IAMs can effectively disambiguate boredom proneness from depression in a large sample of undergraduate students from a racially diverse university.
Fetal Cortical Development and Neurosonographic Findings in Obese Pregnant Women: A Case Control Study from a Tertiary Hospital
Authors: Aktaş Betül Akgün , Kaya Ecem , Haksever Murat , Ozcan Gökce Kılınc , Kara Ozgür , Tanacan Atakan , Sahin Dilek 
Published: August 2023

Abstract
Purpose
To investigate the effect of obesity on fetal cortical development
Methods
This prospective cross-sectional study was conducted with 91 pregnant women. Fetal neurosonography scans were performed in the third trimester, and according to body mass index (BMI) values, the patients were evaluated in two groups: obese (BMI ≥ 30kg/m²) and normal weight (BMI < 30kg/m²). During neurosonography, fetal insular depth and Sylvian fissures, parieo-occipital and cingulate fissure depth, frontal lobe length, and the sizes of the corpus callosum and cavum septum pellucidum were measured using a transvaginal approach. Fetal cortical development and Sylvian fissure operculization were graded.
Results
The number of patients with grade 2 fetal cortical development was significantly higher among the pregnant women in the obese group compared to the normal weight group (n = 17, 41.5% and n = 8, 16.0%, respectively; p = 0.007). In the obese group, the number of pregnant women with grade 4 or below fetal Sylvian fissure operculization was significantly higher (n = 13, 31.7%), and the number of those with grade 9 or above operculization was significantly lower (n = 1, 2.5%) (p = 0.003). The fetal insular depth, frontal lobe anterior-posterior diameter, cingulate fissure depth, and corpus callosum thickness were lower in the obese group, albeit with no significant difference. Parieto-occipital depth significantly decreased in the obese group (7.4 ± 3.5 mm) compared to the control group (9.8 ± 4.3 mm) (p = 0.008). The fetal Sylvian fissure ratio and the cavum septum pellucidum ratio were found to be similar between the groups.
Conclusion
The data obtained from this study showed that obesity caused fetal cortical changes in pregnant women.
Allometric Equations for Estimating Above-Ground Biomass Carbon sequestration in Five Tree Species grown in an Intercropping Agroforestry System in Southern Ontario, Canada
Authors: Bazrgar Amir Behzad , Thevathasan Naresh , Gordon Andrew , Simpson Jamie 
Published: August 2023

Abstract
Allometric equations were developed for estimating above-ground biomass carbon (AGBC) sequestration in five tree species grown in a tree-based intercropping system at the University of Guelph Agroforestry Research Station (GARS), Guelph, Ontario, Canada. A total of 66 representative trees from five species: Red Oak (Quercus rubra) [n = 12], Black Walnut (Juglans nigra) [n = 16], Black Locust (Robinia pseudoacacia) [n = 10], White Ash (Fraxinus americana) [n = 15], Norway Spruce (Picea abies) [n = 13] were selected, harvested and their aboveground biomass and C content were quantified. Three commonly used allometric models were used to develop predictive equations. Regression models were developed and parameterized for each tree species and the best are presented based on information criteria (AIC, AICc, and BIC), mean absolute percentage error (MAPE), over/under estimation (MOUE), root mean square error (RMSE), R2, and regression coefficients (a, b) of the observed/predicted (OP) linear regression analysis. All equations with diameter at breast height (D) only and D and tree height (H) as the predictor variables fitted the AGBC data well, with R2 > 97% and RMSE < 40. However, a power model using D as the only predictor is recommended as the best model for Black Walnut, Black Locust, White Ash, and Norway Spruce. The models presented are the best fitted allometric equations for the indicated species and are recommended for these species, growing on similar soils under the same temperate conditions at densities of < 100 trees per hectare.
1H, 15N, 13C resonance assignments for proteasome shuttle factor hHR23a
Authors: Chen Xiang , Walters Kylie 
Published: August 2023

Abstract
hHR23a (human homolog of Rad23 a) functions in nucleotide excision repair and proteasome-mediated protein degradation. It contains an N-terminal ubiquitin-like (UBL) domain, an xeroderma pigmentosum C (XPC)-binding domain, and a ubiquitin-associated (UBA) domain preceding and following the XPC-binding domain. Each of the four structural domains are connected by flexible linker regions. We report in this NMR study, the 1H, 15N and 13C resonance assignments for the backbone and sidechain atoms of the hHR23a full-length protein with BioMagResBank accession number 52059. Assignments are 97% and 87% for the backbone (NH, N, C’, Cα, and Hα) and sidechain atoms of the hHR23a structured regions. The secondary structural elements predicted from the NMR data fit well to the hHR23a NMR structure. The assignments described in this manuscript can be used to apply NMR for studies of hHR23a with its binding partners.
Using network analysis to examine the connectivity between the brain regions in rs-fMRI data of FND patient and healthy participant : A single subject study
Authors: Ahmadi Samira , Ahmadi Farzaneh , Oghabian Mohammad Ali , Faghihzadeh Elham 
Published: August 2023

Abstract

Introduction: Functional neurological disorders (FND) is one of the most common causes of neuropathy, However, its cause continues to be mysterious. Understanding the underlying mechanisms of FND is crucial for treatment strategies. The study was conducted on brain images(rs-fMRI) taken from two volunteers (FND patient and healthy subject) who had the same characteristics.
Method: We fitted Gaussian Graphical Models to a single subject data using network approach.
Results: Based on the results of the networks, the number of significant edges was more in the left hemisphere in the patient, but in the healthy person, the number of these non-zero edges was more in the right hemisphere. Both the networks related to the healthy person and the patient had high density. Therefore, it indicated that the regions considered by these 2 people were strongly related to each other. The results showed the existence of more links and positive relationships between the regions, most of which showed a strong relationship. Among these connections, there were also negative connections. The networks of the healthy participant with almost symmetrical structures and the patient with FND showed different characteristics, including asymmetry between the hemispheres.
Conclusion: this study is the first to demonstrate that the brain regions of both FND patient and healthy participant can be conceptualized as networks. The findings of this study add to a growing body of literature that FND patient brain regions can be analyzed using network approaches.
Preparation of Au nanoparticles via anodic stripping of underpotential deposition-Cu in bulk electrodeposition-Au for high-performance electrochemical sensing of bisphenol A
Authors: Huang Zhao , Chen Zihan , Yan Dexuan , Jiang Shuo , Nie Libo , Tu Xinman , Chao Long 
Published: August 2023

Abstract
Bisphenol A is one of the most widely used industrial compound, has been intense concern over the years as its potential hazard to the human endocrine system and environment. This work reported a new bisphenol A electrochemical sensor prepared by convenient and controllable Cu-underpotential/Au-bulk co-electrodeposition on a glassy carbon electrode (GCE) modified with multiwalled carbon nanotubes, followed by electrochemical anodic stripping of Cu of underpotential deposition (UPD) and then yields a Au nanoparticles/multiwalled carbon nanotubes composite electrocatalyst modified electrode (AuCu-UPD/MWCNTs/GCE). The AuCu-UPD/MWCNTs/GCE has high electrocatalytic and high-performance sensing for bisphenol A (BPA). Under optimal conditions, the modified elctrode showed a two segments linear response from 0.01 to 1 µM and 1 to 20 µM with a limit of detection (LOD) of 2.43 nM based on differential pulse voltammetry (DPV). Determination of bisphenol A in real water samples on the AuCu-UPD/MWCNTs/GCE yields satisfactory results. The proposed electrochemical sensor can be promising for the development of simple, low-cost water quality monitoring system for detection of BPA in ambient water samples.
Universal Approximators from Anti-Derivatives: Enhancing Neural Networks
Authors: Lee Jeongsu 
Published: August 2023

Abstract
The existence of optimal neural networks, represented as combinations of piecewise functions, is proven by the universal approximation theorem. However, deriving this optimal solution from the training parameters of neural networks remains a challenging problem. This study proposes a novel strategy to construct an approximator for an arbitrary function, starting with a presumed optimal piecewise solution. The proposed approximation employs the anti-derivatives of a Fourier series expansion for the presumed piecewise function, leading to a remarkable feature that enables the simultaneous approximation of an arbitrary function and its anti-derivatives. Systematic experiments have demonstrated the outstanding merits of the proposed anti-derivatives-based approximator, such as the ability to solve differential equations and to enhance the capabilities of neural networks. Furthermore, the anti-derivatives approximator allows for the optimization of activation profiles within neural networks. This feature introduces a novel approach for finding unconventional activation profiles specialized for a given dataset.
Wigner's friend scenario, Born's rule and a new interpretation of quantum mechanics
Authors: Li Qian 
Published: August 2023

Abstract
In this paper, we analyze the thought experiment of "Wigner's friend" and point out that new understanding should be made to Born's rule and measurement process: Born's rule is no longer seen as a rule based on the history of the quantum system's, and the measurement results are no longer directly related to the state of the measured object before the measurement. Inspired by Everett III and H. Zurek's views, we believe that Born's rule reflects the coordination between different parts of the measured results in quantum entanglement systems, so it has nothing to do with the history of particles themselves but rather with the history records. A new interpretation of quantum mechanics is proposed, which is an objective interpretation. Under this interpretation, micro-particles can also be assigned definite states before being observed. Based on this interpretation, Wigner's friend-like scenarios or paradoxes extending Wigner's friend-like scenarios can be effectively explained. The new interpretation brings brand-new perspectives to many quantum phenomena. We also point out potential applications of the new interpretation in the future.
Sensitivity and identifiability analysis of a conceptual-lumped model in the headwaters of the Benue River Basin, Cameroon: implications for uncertainty quantification and parameter optimization
Authors: Nonki Rodric Mérimé , Amoussou Ernest , Lenouo André , Tshimanga Raphael Muamba , Houndenou Constant 
Published: August 2023

Abstract

Many hydrological applications employ conceptual-lumped models to support water resource management techniques. This study aims to evaluate the workability of applying a daily time-step conceptual-lumped model, HYdrological MODel (HYMOD), to the Headwaters Benue River Basin (HBRB) for future water resource management. This study combines both local and global sensitivity analysis (SA) approaches to focus on which model parameters most influence the model output. It also identifies how well the model parameters are defined in the model structure using six performance criteria to predict model uncertainty and improve model performance. The results showed that both SA approaches gave similar results in terms of sensitive parameters to the model output, which are also well-identified parameters in the model structure. The more precisely the model parameters are constrained in the small range, the smaller the model uncertainties, and therefore the better the model performance. The best simulation with regard to the measured streamflow lies within the narrow band of model uncertainty prediction for the behavioral parameter sets. This highlights that the simulated discharges agree with the observations satisfactorily, indicating the good performance of the hydrological model and the feasibility of using the HYMOD to estimate long time-series of river discharges in the study area.
Quantitative traceability study on the water quality driving forces across cities in the Xiang River Basin
Authors: Cao Yanmin , Qian Dongyue , Wang Chongyu 
Published: August 2023

Abstract
Based on the monthly monitoring data of water quality monitoring stations in the Xiang River Basin from 1990 to 2020, the Mann–Kendall test was used to analyze dissolved DO, BOD5, CODMn, TP, NH3-N,Cd, As, and Cr6+. The changing trend of nine indicators, including the stepwise regression method, was used to determine the cross city driving force of each water quality index, and the contribution rate (weight) of each driving force was obtained by principal component analysis. The research results show that (1) agriculture in Yongzhou is the main driving force, and its contribution rate is 67.2%; (2) urbanization has a greater impact on the driving process of the water environment in the Xiang River Basin, and its contribution rate is as follows: Changsha (83%) &gt; Hengyang (80.7%) &gt; Pingxiang (63.7%) &gt; Chenzhou (60.9%) &gt; Xiangtan (57.4%) &gt; Zhuzhou (50%) &gt; Loudi (48.5%); (3) the urbanization of Zhuzhou City and Loudi City's urban sewage discharge not only has an impact on the city's water environment, but also drives the water environment in the downstream Xiangtan area. The research results can provide a basis and reference for the study of water environmental governance in the basin.
Decolorization, COD and turbidity removal of the raw vinasse effluent by a one-step electro-oxidation process on a Pb/PbO2 anode
Authors: Alizadeh Rahimeh , Farhadi Khalil , Ghaneian Mohammad Taghi , Ehrampoush Mohammad Hassan , Jambarsang Sara , Salmani Mohammad Hossein , Motahhari Ali , Kokya Taher Ahmadzadeh 
Published: August 2023

Abstract

In this research, and for the first time, the application of anode Pb/PbO2 (prepared from combined thermal oxidation and electrochemical oxidation method) and steel cathode in a flow sample electrochemical treatment process of vinasse and in the wastewater of alcohol factories, has been investigated. The combination of electrodes of Pb/PbO2 as an anode, steel, and/or graphite as a cathode was used in the proposed electrochemical treatment setup. The efficiency of the proposed electrochemical treatment was determined by the removal percentage of chemical oxygen demand (COD), turbidity and color of vinasse samples. The response surface method (RSM) by Minitab 18 was used to determine the effect of the studied factors as well as to detect the relationship between variables. The results showed that under optimum conditions (Pb/PbO2 electrode as the anode and steel electrode as the cathode, a voltage of 30 V, pH 6.5, and reaction time of 45 min), the percentage reduction values of COD, turbidity and color were 97.7, 77.3 and 92.7%, respectively.