bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the relationship between patient-reported outcome measure and precision audiometry
Authors: Hey Matthias , Mewes Alexander , Hocke Thomas 
Published: January 2024

Abstract

Introduction: Audiometric methods for hearing-impaired patients are constantly evolving as new therapeutic interventions and improved clinical standards are established. This study was aimed at evaluating the relationship between cochlear implant (CI) users' subjective judgement of everyday communication situations and results from various speech-audiometric test procedures. To reconstruct challenging everyday listening situations in the clinic to different degrees, the temporal characteristics of the background noise and the spatial arrangement of the signal sources were varied for speech tests in background noise.
Methods: In a prospective study, 20 CI-experienced, postlingually deafened users of the Nucleus CI were included. Speech comprehension was measured in quiet (by Freiburg words) and in noise (by the Oldenburg sentence test) while stationary speech-simulating or temporally fluctuating noise was applied and the noise sources were varied from S0N0 through S0NCI to S0N90,180,270. Subjective feedback from the patients was obtained by using the HISQUI19 questionnaire.
Results: Word comprehension at 65 dB in quiet showed a significant positive correlation with the user's subjective assessment of hearing ability using the questionnaire (Pearson's R = 0.59). In stationary background noise for the clinically established hearing situation S0N0, there was a negative correlation (R=–0.38, changing to –0.55 in fluctuating ICRA background noise). This trend of greater correlation of the subjective evaluation of comprehension against fluctuating background noise as compared with stationary background noise was also evident in listening situations with spatially separated signal sources, with speech coming from the front and background noise from the side (S0NCI) and from the rear hemisphere (S0N90, S0N90,180,270). On the other hand, the test–retest accuracy was reduced by a substantial factor in the transition from stationary to fluctuating background noise.
Conclusions: By introducing temporal fluctuations in the background noise, the ecological validity can be improved, but at the cost of a parallel decrease in the accuracy of the test procedure. Especially in the context of studies, this knowledge may help to improve the adaptation of the test method to the scientific question in evaluating the relationship between ecological validity and precision audiometry.
Integrating machine learning with analytical surface energy balance model improved terrestrial evaporation through biophysical regulation
Authors: Bai Yun , Mallick Kanishka , Hu Tain , Zhang Sha , Yang Shanshan , Ahmadi Arman 
Published: January 2024

Abstract

Global evaporation modeling faces challenges in understanding the combined biophysical controls imposed by aerodynamic and canopy-surface conductance, particularly in water-scarce environments. We addressed this by integrating a machine learning (ML) model estimating surface relative humidity (RH0) into an analytical model (Surface Temperature Initiated Closure - STIC), creating a hybrid model called HSTIC. This approach significantly enhanced the accuracy of modeling water stress and conductance regulation. Our results, based on the FLUXNET2015 dataset, showed that ML-RH0 markedly improved the precision of surface water stress variations. HSTIC performed well in reproducing latent and sensible heat fluxes on both half-hourly/hourly and daily scales. Notably, HSTIC surpassed the analytical STIC model, particularly in dry conditions, owing to its more precise simulation of canopy-surface conductance (gSurf) response to water stress. Our findings suggest that HSTIC gSurf can effectively capture physiological trait variations across ecosystems, reflecting the eco-evolutionary optimality of plants. This provides a fresh perspective for process-based models in simulating terrestrial evaporation.
DNA methylation in oysters is influenced by genetics and sex
Authors: Teng Wen , Xu Chengxun , Liu Shikai , Yu Hong , Kong Lingfeng , Li Qi 
Published: January 2024

Abstract
Background
DNA methylation in mammals and insects is influenced by both genetic factors and sex. However, the extent to which these variables affect DNA methylation in molluscs has not been fully explored.
Results
In this study, we examined the genomic DNA methylation patterns in two genetically distinct oyster strains using whole-genome bisulfite sequencing (WGBS). Our analysis revealed a sex-associated difference in methylation, with females exhibiting more hypo-methylation than males in somatic tissues. Among the two strains, approximately 20,000 differential methylation regions (DMRs) were identified, with half of these DMRs being conserved in the offspring. Moreover, regions with differential methylation in parents typically displayed intermediate methylation levels in their progeny. This observation aligns with the notion that DNA methylation levels in the F1 progeny were consistent with their parents in the consistently methylated regions, suggesting a heritable stability in these epigenetic marks.
Conclusions
The findings indicate that genome-wide DNA methylation is preserved through generations in oysters, hinting at its potential significance in selective breeding programs. Additionally, the evident gender-specific methylation differences observed in somatic tissues must be considered in oyster epigenetic research.
Investigation of Sphenoid Spine Morphometry for Skull Base Surgery and Relation to Foramen Spinosum Localization
Authors: Ipek Eda Duygu , Ozustun Berrin , Akdogan Ilgaz 
Published: January 2024

Abstract

Purpose
Our study aimed to investigate the sphenoid spine morphological characterization, as well as the distances to important surgical points and its relation to foramen spinosum localization.
Methods
On a total of 65 skulls, the distances of the sphenoid spine to articular tubercle, mastoid process, external opening of carotid canal, anterior edge of infratemporal crest, and the point where sphenosquamosus suture intersects with infratemporal crest were measured from both the right and left sides. The length of the sphenoid spine was measured and classified morphologically. Localization of foramen spinosum relation to sphenoid spine was evaluated.
Results
The sphenoid spine length was stastistically different which was found to be 6.71 ± 1.97 and 6.14 ± 1.93 on the rigt and left sides, respectively (p = 0.027). The most commonly encountered shape of the sphenoid spine on both sides was rectangular, followed by spine shape. The foramen spinosum was most frequently located anteromedially and least frequently located anterolaterally according to sphenoid spine. In our study, it was determined for the first time that the localization of the foramen spinosum is associated with the shape of the sphenoid spine on both the right (p = 0.012) and left (p = 0.016) sides.
Conclusion
Our study provides morphometric data on the sphenoid spine and reports the association between the localization of the foramen spinosum and the type of sphenoid spine. Sphenoid spine variations and their relationship with adjacent anatomical structures should be taken into consideration in middle cranial fossa surgeries.
CSF2 Impairs Nrf2 Signaling Through Akt/Mtor Pathway in the Development of Bladder Cancer
Authors: Yu Xi , Li Shenglan , Ke Shuai , Ye Chenglin , Wang Qinghua , Wang Huaxin , Wang Lei 
Published: January 2024

Abstract

Background
Cancer of the bladder (BCa) is one of the most common cancer of the urinary system.Colony-stimulating factor 2 (CSF2) was involved in lots of cancers, but BCa. We examined the effect of CSF2 on BCa in this study and the underlying molecular mechanisms.
Materials and methods
CSF2 mRNA levels in BCa were analyzed using the Cancer Genome Atlas (TCGA) database. Western blot was conducted to verify BCa tissue samples and cell lines expressing CSF2. The effect on growth of CSF2 was assessed by CCK8 and colony formation. To determine the migration and invasion capabilities of BCa cells, transwell analysis and wound healing assays were conducted. Next, western blot was used to explore the underlying mechanism. In the end, a xenografted BCa mouse model was established to examine CSF2 effects on tumorigenesis in vivo.
Results
These experiments showed CSF2 mRNA was upregulated in BCa samples. BCa proliferation and tumorigenesis were significantly inhibited in vitro and in vivo by CSF2 knockdown. Mechanism analysis revealed that BCa cells were inhibited from proliferating and invading when CSF2 was knocked down via AKT/mTOR signaling.
Conclusions
Based on these results, CSF2 promotes proliferation and tumorigenesis of BCa.
The Impact of Dexmedetomidine Doses on Postoperative Cognitive Dysfunction and Inflammatory Response in Elderly Female Patients Undergoing Laparoscopic Cholecystectomy
Authors: Shi Wenxin , Wei Qiang , Wang Zhenliang , Zhao Qingtao , Fu Yanlong 
Published: January 2024

Abstract
Objective
To investigate how different dexmedetomidine (Dex) doses affect postoperative cognitive function and inflammatory markers in elderly female patients receiving laparoscopic cholecystectomy (LC).
Methods
Based on the inclusion criteria, 165 elderly patients undergoing LC in our hospital were divided into four groups: Group C (32 patients), Group D1 (41 patients), Group D2 (49 patients), and Group D3 (43 patients). Patients in Group C were administered saline during anesthesia induction and anesthesia maintenance, whereas those in Group D were administered a 0.5 µg/kg Dex infusion 15 minutes before anesthesia induction, followed by postoperative infusions of 0.4, 0.6, and 0.8 µg/(kg·h) Dex for anesthesia maintenance. The effects of different Dex doses on postoperative cognitive impairment, pain scores, and inflammatory markers were studied in the selected patients.
Results
1. Postoperative cognitive dysfunction (POCD) was less common in Dex groups compared to Group C (P < 0.05). 2. On the first day after surgery, the VAS pain scores in all Dex groups were lower than those in Group C (P < 0.05); on the second and third days after surgery, the visual analog scale scores in Groups D2 and D3 were lower than those in Group C (P < 0.05); 3. Dex alleviated postoperative insomnia; 4. In the Dex groups, pro-inflammatory cytokine levels decreased postoperatively whereas anti-inflammatory cytokine levels increased.
Conclusion
Dex has been shown to lower the incidence of POCD and ameliorate early postoperative pain in elderly female patients after LC, a process that may be related to the control of postoperative inflammatory responses.
A predictive model for acute heart failure after Percutaneous Coronary Intervention in patients with ST-Segment Elevation Myocardial Infarction
Authors: Yang Di , Leng Jiyan , Cao Mengyu , Jin Huijing , Ma Yucen , Zhang Kexin 
Published: January 2024

Abstract

Background and Aims: To investigate risk factors for developing acute heart failure (AHF) after percutaneous coronary intervention(PCI) in patients with ST-segment elevation myocardial(STEMI) and develop a predictive model for the risks.
Methods:A total of 810 STEMI patients were divided into a modeling group (n = 655) and a validation group (n = 155). A risk score was established in the modeling group, and validated in the validation group.
Results: 130 patients experienced AHF during hospitalization. In the modeling group, 7 variables were identified as independent risk factors for AHF, including female gender, acute anterior wall myocardial infarction, multibranch vasculopathy, heart rate, systolic blood pressure, randomized blood glucose and creatinine clearance. A columnar plot of in-hospital AHF was created using these factors. The area under the curve (AUC) was 0.72 (95%CI 0.67-0.76). The bootstrap consistency index of the nomogram was 0.72. The results indicate that this score has good predictive value for the development of AHF during hospitalization in patients with STEMI.
Conclusion: Based on 7 risk factors, a prediction score was established to predict the risk of AHF during hospitalization in patients with STEMI. Predictive scores are used to identify patients at high risk of developing AHF.
Evaluation of Higher Education Students' views of the use of Generative AI in a Middle Eastern University
Authors: calderwood Sarah Julia 
Published: January 2024

Abstract
This evaluation aims to understand higher education students' perceptions and perspectives on the ethical considerations surrounding students using artificial intelligence (AI) for assignment completion in higher education. This includes tools such as OpenAI ChatGPT and other generative language models, Quillbot and other paraphrasing tools, and Grammarly and other text editing tools. Methodology: Employing an agential realist framework, this study interrogates the entanglements of AI in academic practices. The analysis, informed by Barad's theory, examines the intra-actions and phenomena through which AI and educational ethics become mutually constituted. This will contribute to a broader understanding of the impact of AI technologies on academic integrity, learning outcomes, and ethical dilemmas The evaluation reveals multiple diffractions and cuts, suggesting complex interplays between student agency, technological affordances, and ethical considerations. Further research is recommended to explore these entanglements more deeply, especially in the context of evolving AI capabilities and their implications for educational practices.
An efficient image focus measure based on perceptual features analysis
Authors: N Al Sameera B , Gaidhane Vilas H 
Published: January 2024

Abstract
In this paper, a new approach no-reference image quality assessment (NR-IQA) focus measure based on the additivity of Renyi Entropy is proposed. In human and computer vision, image quality must be quantified with human perception. Therefore, perceptual features such as image texture and structure are analyzed. It allows us to achieve a better correlation with the subjective quality assessment. The probability coefficients of images are obtained to extract the human visual system (HVS) features, and significant image details are evaluated. The randomness in the information of the image is observed by considering the additivity of Renyi Entropy. The majority of objective IQA algorithms evaluate the image quality by comparing the original image with the distorted. The presented approach is tested on artificial images by introducing a certain amount of blur without noise and in the presence of noise. The effectuality and performance of the presented method on real-time images show consistent responses under blurred and noisy conditions. Moreover, the proposed method is evaluated with three publicly available data sets such as LIVE, TID2013, and CSIQ. The presented method is compared with various existing techniques in the literature, and it is evident from the experiments that the method has better monotonicity and improved focus measures. The proposed approach achieved better performance metrics such as SROCC, KRCC, and PLCC. The computation time and complexity of the presented approach are reduced due to the logarithmic function.
Neighborhood Matters: An Exploration of Neighborhood-Level Disadvantage and Cancer Protective Behaviors in Hispanic Youth with Unhealthy Weight
Authors: Lovan Padideh , Graefe Beck , Porter Andrew , Szapocznik José , Penedo Frank J , Messiah Sarah E. , Prado Guillermo 
Published: January 2024

Abstract
Purpose: The present study aimed to assess the relationships between youth CPB (i.e., healthy dietary intake and physical activity), neighborhood influences measured by the Area Deprivation Index (ADI), parent stress, and parent socio-demographic characteristics (i.e., education, household income, and marital status) among Hispanic families who have youth with unhealthy weight. Additionally, we examined whether parent stress mediated the relationship between youth ADI and CPB.
Methods: Baseline data from 280 Hispanic youth (Mage = 13.01 ± 0.83; 52.1% females; MBody Mass Index (BMI) Percentile = 94.55 ± 4.15) and their parents (Mage = 41.87 ± 6.49; 88.2% females) who enrolled in an RCT were used. Self-reported data on youth dietary intake and physical activity, parent stress, and parent socio-demographic characteristics were collected. Neighborhood impact was examined using ADI, a validated measure to classify neighborhood disadvantage (e.g., housing quality and neighborhood income) using data from the US Census Bureau. Structural Equation Modeling was used to evaluate the study model.
Results: Our findings indicated significant associations between ADI and youth CPB (b = -0.17, p = .019), and parent stress (b = 0.23, p = .001). However, parent stress did not mediate the relationship between youth ADI and CPB.
Conclusion: Our findings suggest that Hispanic youth living in disadvantaged neighborhoods may be less likely than youth in non-disadvantaged neighborhoods to engage in CPB. Future research should evaluate neighborhood resources to encourage physical activity and healthy eating.
Identifying potential biomarkers of Ferroptosis for Osteoporosis based on using TMT proteomics and bioinformatics analysis
Authors: su Hui , Xue Haipeng , Guo WenXuan , Yu jinsheng , Xu Zhanwang , Zhuang Rujie , Tan Guoqing 
Published: January 2024

Abstract

Background: primary osteoporosis has increasingly become a major problem affecting human health, and its specific pathogenic mechanism is complex. Ferroptosis,as a research hotspot, has found play an important role in the pathogenesis of primary osteoporosis, in order to explore the connection and specific target genes between Ferroptosis and primary osteoporosis .
Methods:We used TMT proteomics and bioinformatics analysis to elucidate the connection and key targets of the Ferroptosis pathway in the Ovariectomized osteoporosis rat model.Forty 12-week-old female SD rats were used in the study, 20 rats were ovariectomized as the OVX group and 20 rats as the SHAM group , after the rats were sacrificed, and left femur of rat was removed for computerized tomography testing, and right femurs were used for hematoxylin and eosin staining. Finally, we extract bone tissue protein for TMT proteomics analysis and western spotting verification.
Results:The proteomic results of the OVX and SHAM groups showed that 133 proteins were significantly changed, of which 91 were up-regulated proteins and 42 were down-regulated proteins, TXN, TMSB4X, TFRC, TF, RELA, PARP14, CP, CAPG, and ADIPOQ. The expression of key proteins in bone tissue was detected by Western blotting.TFR1 and TF expression were upregulated, and the expression levels in Cp and BMP-2 were downregulated.
Conclusions: The TMT proteomics and functional enrichment analyses in our study confirmed that in osteoporosis, lipid metabolism is disturbed causing the appearance of oxidative stress accompanied by an imbalance in iron homeostasis.
Surface damage reduction effect of super long working face with large mining height in Shangwan Coal Mine
Authors: xinjie liu , yingming yang , yongqiang zhao , gang liu , zhuhe xu 
Published: January 2024

Abstract
Green mining is the basic background of high-quality mining, and source reduction is the most important part, among which the optimization of working face height and length is the most active. How to control the working face parameters, reasonably evaluate the surface subsidence characteristics of the super-long working face, and identify the limit working face length and the surface discontinuous deformation threshold is particularly important. In order to solve the problem of irreversible damage to the surface caused by the mining process of the working face, this paper discusses the whole process of surface movement in the 8.8 m super-large mining height working face of Shangwan Coal Mine through field investigation, in-situ monitoring and data analysis. Combined with the inflection point trajectory, advancing degree and subsidence coefficient, the 0.9 coefficient of the working face subsidence basin boundary and the loss reduction strategy far from the limit working face threshold are proposed. The results show that the subsidence basin of 12401 working face accounts for 34%, the continuous deformation area of surface accounts for 64%, and the influence area of discontinuous deformation area is within 10 times of mining height. With the help of borehole detection verification, the time effect of rock movement in different layers is further revealed, which provides a strong basis for the optimization design of working face and the timing of surface ecological management.
A Study on Magnetic-sensitivity Wavelength Position of the Working Line Used by the Full-Disk Magnetograph onboard the Advanced Space based Solar Observatory (ASO-S/FMG)
Authors: Liu S. , Su J. T. , Bai X. Y. , Deng Y. Y. , Chen J. , Song Y. L. , Wang X. F. , Xu H. Q. , Yang X. , Idrees Shahid 
Published: January 2024

Abstract

Utilizing data from the Solar M agnetism and Activity T elescope (SMAT), analytical solutions of polarized radiative transfer equations, and in-orbit test data from the Full-disk Magnetograph (FMG) onboard the Advanced Space based Solar Observatory (ASO-S), this study reveals the magnetic-sensitivity spectral positions for the Fe i λ5234.19Å working line used by FMG. From the experimental data of SMAT, it is found that the most sensitivity position is located at the line center for linear polarization (Stokes-Q/U), while it is about-0.07Å away from the line center for circular polarization (Stokes-V). Moreover , both the theoretical analysis and the in-orbit test data analysis of FMG prove again the above results. Additionally, the theoretical analysis suggests the presence of distinct spectral pockets (centered at 0.08-0.15Å) from the line, harboring intense magnetic sensitivity across all three Stokes parameters. Striking a balance between high sensitivity for both linear and circular polarization while capturing additional valuable information, a spectral position of-0.08Å emerges as the champion for routine FMG magnetic-field observations.
Development of simultaneous analysis method for 11 respiratory drug substances including theobromine and analysis of commercial products using UPLC-PDA
Authors: Kim Mi Jin , Shin Hyunil , Choi Hwan Seong , Kim Nam Sook , Lee Ji Hyun , Choi Jang Duck 
Published: January 2024

Abstract
Recently, the number of people suffering from respiratory symptoms has continued to increase owing to the effects of COVID-19 and particulate matter, and accordingly, the demand for respiratory-related dietary supplements is increasing. Over the past few years, dietary supplements adulterated with pharmaceutical drug substances have been appearing continuously; thus, preventive measures are needed. In this study, we developed a simultaneous analysis method for 11 respiratory-related pharmaceutical compounds using ultra-performance liquid chromatography with photodiode array (UPLC-PDA). The sample preparation method was optimized by comparing three clean-up methods including the QuEChERS for hard capsule, tablet, powder, and liquid formulations, and the analysis conditions were established by comparing various analysis parameters. In method validation, the limit of detection, limit of quantitation, specificity, linearity, recovery, precision, accuracy, matrix effect, and stability all met the standards of the ICH guidelines. Subsequently, 52 types of dietary supplements promoting relief of respiratory-related symptoms were purchased online and analyzed using UPLC-PDA. Theobromine was detected in one product, and the content was calculated to be 247.7 mg/g (117.1 mg/capsule). This study can contribute to preventively blocking dietary supplements adulterated with respiratory-related substances and can be used as a reference for future research.