bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fallopian tube lesions as potential precursors of early ovarian cancer: a comprehensive proteomic analysis
Authors: Wisztorski Maxence , Aboulouard Soulaimane , Roussel Lucas , Duhamel Marie , Saudemont Philippe , Cardon Tristan , Narducci Fabrice , Robin Yves-Marie , Lemaire Anne-Sophie , Bertin Delphine , Hajjaji Nawale , Kobeissy Firas , Leblanc Eric , Fournier Isabelle , Salzet Michel 
Published: September 2023

AbstractOvarian cancer is the leading cause of death from gynecologic cancer worldwide. High-grade serous carcinoma (HGSC) is the most common and deadliest subtype of ovarian cancer. While the origin of ovarian tumors is still debated, it has been suggested that HGSC originates from cells in the fallopian tube epithelium (FTE), specifically the epithelial cells in the region of the tubal-peritoneal junction. Three main lesions, p53 signatures, STILs, and STICs, have been defined based on the immunohistochemistry (IHC) pattern of p53 and Ki67 markers and the architectural alterations of the cells, using the Sectioning and Extensively Examining the Fimbriated End Protocol. In this study, we performed an in-depth proteomic analysis of these pre-neoplastic epithelial lesions guided by mass spectrometry imaging and IHC. We evaluated specific markers related to each preneoplastic lesion. The study identified specific lesion markers, such as CAVIN1, Emilin2, and FBLN5. We also used SpiderMass technology to perform a lipidomic analysis and identified the specific presence of specific lipids signature including dietary Fatty acids precursors in lesions. Our study provides new insights into the molecular mechanisms underlying the progression of ovarian cancer and confirms the fimbria origin of HGSC.
IFNγ-Stat1 axis drives aging-associated loss of intestinal tissue homeostasis and regeneration
Authors: Omrani Omid , Krepelova Anna , Rasa Seyed Mohammad Mahdi , Sirvinskas Dovydas , Lu Jing , Annunziata Francesco , Garside George , Bajwa Seerat , Reinhardt Susanne , Adam Lisa , Käppel Sandra , Ducano Nadia , Donna Daniela , Ori Alessandro , Oliviero Salvatore , Rudolph Karl Lenhard , Neri Francesco 
Published: September 2023

AbstractThe influence of aging on intestinal stem cells and their niche can explain underlying causes for perturbation in their function observed during aging. Molecular mechanisms for such a decrease in the functionality of intestinal stem cells during aging remain largely undetermined. Using transcriptome-wide approaches, our study demonstrates that aging intestinal stem cells strongly upregulate antigen presenting pathway genes and over-express secretory lineage marker genes resulting in lineage skewed differentiation into the secretory lineage and strong upregulation of MHC class II antigens in the aged intestinal epithelium. Mechanistically, we identified an increase in proinflammatory cells in the lamina propria as the main source of elevated interferon gamma (IFNγ) in the aged intestine, that leads to the induction of Stat1 activity in intestinal stem cells thus priming the aberrant differentiation and elevated antigen presentation in epithelial cells. Of note, systemic inhibition of IFNγ-signaling completely reverses these aging phenotypes and reinstalls regenerative capacity of the aged intestinal epithelium.
FGF18 alleviates hepatic ischemia-reperfusion injury via the USP16-mediated KEAP1/Nrf2 signaling pathway in male mice
Authors: Tong Gaozan , Chen Yiming , Chen Xixi , Fan Junfu , Zhu Kunxuan , Hu ZiJing , Li Santie , Zhu Junjie , Feng Jianjun , Wu Zhaohang , Hu Zhenyu , Zhou Bin , Jin Litai , Chen Hui , Shen Jingling , Cong Weitao , Li XiaoKun 
Published: September 2023

AbstractHepatic ischemia-reperfusion injury (IRI) is a common complication occurs during hepatic resection and transplantation. However, the mechanisms underlying hepatic IRI have not been fully elucidated. Here, we aim to explore the role of fibroblast growth factor 18 (FGF18) in hepatic IRI. In this work, we find that Hepatic stellate cells (HSCs) secrete FGF18 and alleviates hepatocytes injury. HSCs-specific FGF18 deletion largely aggravates hepatic IRI. Mechanistically, FGF18 treatment reduces the levels of ubiquitin carboxyl-terminal hydrolase 16 (USP16), leading to increased ubiquitination levels of Kelch Like ECH Associated Protein 1 (KEAP1) and the activation of nuclear factor erythroid 2-related factor 2 (Nrf2). Furthermore, USP16 interacts and deubiquitinates KEAP1. More importantly, Nrf2 directly binds to the promoter of USP16 and forms a negative feedback loop with USP16. Collectively, our results show FGF18 alleviates hepatic IRI by USP16/KEAP1/Nrf2 signaling pathway in male mice, suggesting that FGF18 represents a promising therapeutic approach for hepatic IRI.
Memory-efficient low-compute segmentation algorithms for bladder-monitoring smart ultrasound devices
Authors: Song Zhiye , Asiedu Mercy , Wang Shuhang , Li Qian , Ozturk Arinc , Mittal Vipasha , Schoen Scott , Ramaswamy Srinath , Pierce Theodore T. , Samir Anthony E. , Eldar Yonina C. , Chandrakasan Anantha , Kumar Viksit 
Published: September 2023

AbstractPost-operative urinary retention is a medical condition where patients cannot urinate despite having a full bladder. Ultrasound imaging of the bladder is used to estimate urine volume for early diagnosis and management of urine retention. Moreover, the use of bladder ultrasound can reduce the need for an indwelling urinary catheter and the risk of catheter-associated urinary tract infection. Wearable ultrasound devices combined with machine-learning based bladder volume estimation algorithms reduce the burdens of nurses in hospital settings and improve outpatient care. However, existing algorithms are memory and computation intensive, thereby demanding the use of expensive GPUs. In this paper, we develop and validate a low-compute memory-efficient deep learning model for accurate bladder region segmentation and urine volume calculation. B-mode ultrasound bladder images of 360 patients were divided into training and validation sets; another 74 patients were used as the test dataset. Our 1-bit quantized models with 4-bits and 6-bits skip connections achieved an accuracy within $$3.8\%$$

3.8
%

and $$2.6\%$$

2.6
%

, respectively, of a full precision state-of-the-art neural network (NN) without any floating-point operations and with an $$11.5\times$$

11.5
×

and $$9.0\times$$

9.0
×

reduction in memory requirements to fit under 150 kB. The means and standard deviations of the volume estimation errors, relative to estimates from ground-truth clinician annotations, were $$5.0\pm 33$$

5.0
±
33

ml and $$6.8\pm 29$$

6.8
±
29

ml, respectively. This lightweight NN can be easily integrated on the wearable ultrasound device for automated and continuous monitoring of urine volume. Our approach can potentially be extended to other clinical applications, such as monitoring blood pressure and fetal heart rate.
Effects of inoculation with four mycorrhizal species on seed phenolic and fatty acids of sesame plants grown under different irrigation regimes
Authors: Ghasemi Masoumeh , Zahedi Morteza , Gheysari Mahdi , Sabzalian Mohammad R. 
Published: September 2023

AbstractThis study evaluated the interaction effects of irrigation level (well-watered and water stress conditions) and inoculation by different mycorrhizal species (non-inoculated, Funneliformis mosseae, Rhizophagus irregularis, Claroideoglomus claroideum, and Glomus fasciculatum) on mycorrhizal colonization, antioxidant activity, seed yield and oil quality of two sesame cultivars (Yekta and Naz). Water deficit decreased mycorrhizal colonization, seed yield and oil concentration but increased antioxidant activity and seed total phenol and flavonoid concentrations. However, mycorrhizal inoculation increased antioxidant activity, seed yield, oil concentration and total phenolic and flavonoids. The lowest reduction by water stress and the highest increase by inoculation in seed yield were observed in Naz plants inoculated by Cl. claroideum. Principal component analysis showed the highest differentiation effect of water stress compared to mycorrhizal inoculation on both cultivars, indicating the relative sensitivity of the two cultivars to water deficit. However, the application of different species of mycorrhizal fungi versus the non-inoculation conditions was somewhat discriminative. In terms of fatty acids, in most cases, water stress increased oleic, palmitic and stearic acids and decreased linoleic and linolenic acids but inoculation increased oleic and linoleic acids and decreased linolenic, palmitic and stearic acids. Regarding phenolic and flavonoids components, the contents of chlorogenic and caffeic acids were increased by water stress but no consistent trend was noted in response to water stress for the other compounds. Mycorrhizal inoculation generally decreased chlorogenic acid but increased gallic, caffeic, p-coumaric, and ferulic acids. In conclusion, the results of the present study may help to increase the level of valuable compounds in sesame for further pharmaceutical purposes under water stress conditions and mycorrhizal symbiosis.
Real-time detection of road manhole covers with a deep learning model
Authors: Pang Dangfeng , Guan Zhiwei , Luo Tao , Su Wei , Dou Ruzhen 
Published: September 2023

AbstractRoad manhole covers are crucial components of urban infrastructure; however, inadequate maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a method for detecting road manhole covers using a stereo depth camera and the MGB-YOLO model. We curated a robust image dataset and performed image enhancement and annotation. The MGB-YOLO model was developed by optimizing the YOLOv5s network with MobileNet-V3, Global Attention Mechanism (GAM), and BottleneckCSP, striking a balance between detection accuracy and model efficiency. Our method achieved an impressive accuracy of 96.6%, surpassing the performance of Faster RCNN, SSD, YOLOv5s, YOLOv7 and YOLOv8s models with an increased mean average precision (mAP) of 15.6%, 6.9%, 0.7%, 0.5% and 0.5%, respectively. Additionally, we have reduced the model's size and the number of parameters, making it highly suitable for deployment on in-vehicle embedded devices. These results underscore the effectiveness of our approach in detecting road manhole covers, offering valuable insights for vehicle-based manhole cover detection and contributing to the reduction of accidents and enhanced driving comfort.
A study on improving the prediction accuracy of cold forging die life based on quantitative evaluation of phosphate film damage
Authors: Seo Young Ho 
Published: September 2023

AbstractIn designing the multi-stage cold forging process, an important factor along with formability is the die life cycle. As the die life cycle is closely related to the integrity of the phosphate film coating on the surface of the material, this study presents a method for predicting the die life cycle considering damage to the phosphate film coating. First, the correlation between the phosphate treatment conditions (phosphate treatment solution concentration and temperature) and the film layer weight was discussed. Afterwards, the behavior of the friction coefficient according to the damage of the phosphate film was predicted through repeated frictional tests. The behavior of the coefficient of friction was mainly divided into three areas and correlated with the film weight. By applying these results to the automobile engine bolt forging process, a method for performing precise simulation considering the damage to the phosphate film was presented. In addition, a method for predicting the quantitative limit life of the die based on precise simulation results with high accuracy was presented.
The accuracy of cortical bone trajectory screw placement guided by spinous process clamp hardware in lumbar spinal surgery: a retrospective study
Authors: Zhang Xi-nuo , Su Qing-jun , Pei Bao-qing , Pan Ai-xing , Yang Hong-hao , Ding Hong-tao , Hai Yong , Liu Yu-zeng 
Published: September 2023

AbstractThis study aimed to assess the accuracy of cortical bone trajectory (CBT) screws placement guided by a spinous process clamp (SPC) guide. A total of 32 patients who received single-level midline lumbar fusion (MIDLF) surgery between June 2019 and January 2020 were retrospectively analyzed and divided into free-hand (FH) and SPC-guided groups according to the surgical approach. In the FH group, CBT screws was implanted with the assistance of fluoroscopy, while in the SPC group, CBT screws was implanted using the SPC navigator hardwire. A total of 128 screws were assessed in this study, with higher rates of clinically acceptable screw placement (grades A and B) and grade A screws in the SPC group than in the FH guide group (92.2% vs. 79.7%, P = 0.042 and 54.7% vs. 35.9%, P = 0.033, respectively). Misplacement screws (grades C, D, and E) occurred more often in the FH group than in the SPC guide group (20.3% vs. 7.8%, P = 0.042). The incidence of proximal facet joint violation (FJV) was higher in the FH group than in the SPC group (15.6% vs. 3.1%, P = 0.030). The radiation dose and time in the SPC guide group were comparable to those in the FH group (P = 0.063 and P = 0.078). The average operative time was significantly longer in the SPC guide group than in the FH group (267.8 ± 45.5 min vs. 210.9 ± 44.5 min, P = 0.001). Other clinical parameters, such as the average bone mineral density (BMD), intraoperative blood loss, and postoperative hospital stay, were not significantly different. Oswestry disability index (ODI) and back pain visual analogue scale (VAS) scores were significantly improved in both groups compared with preoperatively. SPC guided screw placement was more accurate than the fluoroscopy-assisted FH technique for single-level MIDLF at L4/5. Patients undergoing SPC-guided screw placement can achieve similar clinical outcomes as the fluoroscopy-assisted FH technique.
Identification of m6A suppressor EIF4A3 as a novel cancer prognostic and immunotherapy biomarker through bladder cancer clinical data validation and pan-cancer analysis
Authors: Yan Huaqing , Zhang Liqi , Li Rubing 
Published: September 2023

AbstractEIF4A3 represents a novel m6A suppressor that exerts control over the global m6A mRNA modification level, therefore influencing gene destiny. Despite increasing evidence that highlights a pivotal role of EIF4A3 in tumor progression and immunity, a comprehensive pan-cancer analysis of EIF4A3 has yet to be conducted, in order to ascertain whether EIF4A3 could be a viable biomarker for cancer screening, prediction of prognosis, and to facilitate accurate therapy design in various human malignancies. We analyzed the expression levels of EIF4A3 in bladder cancer compared to para-cancer tissue. Subsequently survival analysis was conducted to ascertain the potential association between EIF4A3 expression and patient prognosis. To further corroborate this evidence, we conducted an extensive data mining process of several publicly available databases, including UCSC Xena database, TCGA, and GTEx. Raw data from the UCSC Xena database was processed using online tools to obtain results that could be subjected to further analysis. Our study unveiled a considerable increase in the expression levels of EIF4A3 in bladder cancer compared to para-cancer tissue. Subsequent validation experiments confirmed that bladder cancer patients exhibiting higher levels of EIF4A3 expression have significantly worse prognostic outcomes. Next, our pan-cancer analysis found that the expression level of EIF4A3 is significantly higher in most cancers. Notably, high expression levels of EIF4A3 were negatively associated with patient prognosis across various cancer types. Furthermore, as a novel m6A suppressor, EIF4A3 was found to be correlated with numerous RNA modification genes in multiple cancer types. Meanwhile, analysis of publicly available databases revealed that EIF4A3 expression was significantly related to immune score and immune cell levels in most cancer types. Interestingly, EIF4A3 was also identified as a superior immunotherapy biomarker when compared to several traditional immunotherapy biomarkers. Lastly, genetic alterations analysis revealed that amplification was the most frequently occurring abnormality in the EIF4A3 gene. EIF4A3 emerges as a promising biomarker with the potential to significantly enhance tumor screening, prognostic evaluation, and the design of individualized treatment strategies across a diverse array of malignancies.
Expression of a recombinant endolysin from bacteriophage CAP 10-3 with lytic activity against Cutibacterium acnes
Authors: Kim Ja-I , Hasnain Muhammad Adeel , Moon Gi-Seong 
Published: September 2023

AbstractThe bacteriophage CAP 10-3 forming plaques against Cutibacterium acnes which causes skin acne was previously isolated from human skin acne lesion. Incomplete whole genome sequence (WGS) of the bacteriophage CAP 10-3 was obtained and it had 29,643 bp long nucleotide with 53.86% GC content. The sequence was similar to C. acnes phage PAP 1-1 with a nucleotide sequence identity of 89.63% and the bacteriophage belonged to Pahexavirus. Bioinformatic analysis of the WGS predicted 147 ORFs and functions of 40 CDSs were identified. The predicted endolysin gene of bacteriophage CAP 10-3 was 858 bp long which was deduced as 285 amino acids (~ 31 kDa). The protein had the highest similarity with amino acid sequence of the endolysin from Propionibacterium phage PHL071N05 with 97.20% identity. The CAP 10-3 endolysin gene was amplified by PCR with primer pairs based on the gene sequence, cloned into an expression vector pET-15b and transformed into Escherichia coli BL21(DE3) strain. The predicted protein band (~ 33 kDa) for the recombinant endolysin was detected in an SDS-PAGE gel and western blot assay. The concentrated supernatant of cell lysate from E. coli BL21(DE3) (pET-15b_CAP10-3 end) and a partially purified recombinant CAP 10-3 endolysin showed antibacterial activity against C. acnes KCTC 3314 in a dose-dependent manner. In conclusion, the recombinant CAP 10-3 endolysin was successfully produced in E. coli strain and it can be considered as a therapeutic agent candidate for treatment of human skin acne.
Multi-attribute fuzzy pattern decision making based on information systems
Authors: Sun Zhenduo , Kong Xiangzhi 
Published: September 2023

AbstractThis paper introduces an innovative approach aimed at enhancing multi-attribute decision-making through the utilization of fuzzy pattern recognition, with a specific emphasis on engaging decision-makers more effectively. The methodology establishes a multi-attribute fuzzy pattern recognition model within a hybrid information system framework. It categorizes attributes into natural and abstract groups, standardizes them, and employs membership functions to transform them into degrees of membership. This adaptable approach permits the derivation of various decision criteria from the hybrid system. Subsequently, a testing set is generated from this system, and a suitable fuzzy operator is selected. The optimal solution is determined by assessing the similarity between the standard and testing sets. To underscore its effectiveness, a practical example is provided. Crucially, in the realm of multi-attribute decision-making, our method simplifies the process by reducing computational steps in contrast to the conventional TOPSIS model, while maintaining consistent outcomes. This streamlines the decision-making process and reduces complexity. We also demonstrate its applicability in multi-objective decision-making through a case study evaluating exemplary educators, thereby highlighting its adaptability and effectiveness. This method exhibits significant promise for enhancing multi-attribute decision-making and offers practical applications.
Correlation of exercise participation, behavioral inhibition and activation systems, and depressive symptoms in college students
Authors: Li Shufan , Wang Xing , Wang Peng , Qiu Shali , Xin Xin , Wang Jing , Zhao Jinlei , Zhou Xiaojing 
Published: September 2023

AbstractTo clarify the pathways and effects of the behavioral inhibition and activation systems in the relationship between exercise participation and depressive symptoms among college students. A cross-sectional research design was employed to survey 2606 college students using physical activity questionnaires, the Behavioral Inhibition/Activation Systems Scale, and the Beck Depression Inventory. Data were analyzed using methods including one-way ANOVA, independent sample t-tests, non-parametric tests, chi-square tests, correlation analysis, and structural equation modeling. Depressive symptoms were significantly negatively correlated with exercise participation (r = − 0.107, P < 0.001), reward responsiveness (r = − 0.201, P < 0.001), drive (r = − 0.289, P < 0.001), and fun seeking (r = − 0.102, P < 0.001), and positively correlated with behavioral inhibition (r = 0.084, P < 0.001). Exercise participation was positively correlated with reward responsiveness (r = 0.067, P = 0.001), drive (r = 0.085, P < 0.001), and fun seeking (r = 0.063, P = 0.001). Exercise participation had a significant direct effect (B = − 0.079, 95% CI − 0.116 to − 0.043) and total effect (B = − 0.107, 95% CI − 0.148 to − 0.069) on depressive symptoms. The mediating effects of drive (B = − 0.028, 95% CI − 0.043 to − 0.016) and fun seeking (B = 0.005, 95% CI − 0.001 to 0.011) were significant. The more college students engage in exercise, the lower their depressive symptom scores. Drive and fun seeking mediate the relationship between college students' exercise participation and depressive symptoms. Encouraging exercise participation among college students and enhancing their sensitivity to behavioral activation strategies and reward information may have a significant role in preventing and alleviating depressive symptoms.
Interpolation time-optimized aortic pulse wave velocity estimation by 4D flow MRI
Authors: Park Sungho , Kwon Minseong , Nam Hyojin , Huh Hyungkyu 
Published: September 2023

AbstractFour-dimensional flow magnetic resonance imaging-based pulse wave velocity (4D flow PWV) estimation is a promising tool for measuring regional aortic stiffness for non-invasive cardiovascular disease screening. However, the effect of variations in the shape of flow waveforms on 4D flow PWV measurements remains unclear. In this study, 4D flow PWV values were compared using cross-correlation algorithm with different interpolation times (iTs) based on flow rate and beat frequency. A critical iT (iTCrit) was proposed from in vitro study using flexible and stiff phantom models to simultaneously achieve a low difference and a low computation time. In vivo 4D flow PWV values from six healthy volunteers were also compared between iTCrit and the conventionally used interpolation time of 1 ms (iT1 ms). The results indicated that iTCrit reduced the mean difference of in vitro 4D flow PWV values by 19%, compared to iT1 ms. In addition, iTCrit measured in vivo 4D flow PWV, showing differences similar to those obtained with iT1 ms. A difference estimation model was proposed to retrospectively estimate potential differences of 4D flow PWV using known values of PWV and the used iT. This study would be helpful for understanding the differences of PWV generated by physiological changes and time step of obtained flow waveforms.