bluuebunny/crossref_metadata_2025_split huggingface dataset:
MiR-129-5p inhibits the proliferation, migration, and invasion of U87 glioblastoma cells by targeting CaMK IV via the MAPK signaling pathway
Authors: Gong Haidong , Yu Tao , Jin Lijiao , Zheng Fakang , Wang Weining , Lv Bo , Zhao Qiwen , Liu Danian 
Published: February 2024

Abstract
Objective
The purpose was to investigate the expression of CaMK IV in glioblastoma (GBM) and its specific role in GBM cell proliferation, invasion, migration, and other malignant phenotypes. Furthermore, this study aimed to validate the functional relationship between miR-129-5p and CaMK IV, then explore the underlying molecular mechanisms involved.
Results
Bioinformatics analysis revealed that CaMK IV was expressed at higher levels in normal brain tissues than in GBM tissues. qRT-PCR demonstrated significantly lower expression of CaMK IV in GBM cell samples than in the control tissue. CCK-8 assays indicated that overexpression of CaMK IV significantly inhibited the activity and proliferation of U87 GBM cells, while knockdown of CaMK IV had the opposite effect. Similarly, the introduction of miR-129-5p mimics inhibited the activity and proliferation of U87 GBM cells, while the use of a miR-129-5p inhibitor yielded the opposite results. The scratch assay revealed that, compared with control treatment, CaMK IV overexpression led to larger scratch areas at 12 and 24 hours, indicating that CaMK IV has an inhibitory effect on the migration ability of the GBM cell line U87. Conversely, knockdown of CaMK IV had the opposite effect. Moreover, Transwell assays demonstrated that the overexpression of CaMK IV resulted in significantly fewer penetrating cells than was observed in the control group, suggesting that CaMK IV has an inhibitory effect on the invasion ability of U87 GBM cells. Again, knockdown of CaMK IV yielded the opposite results. Western blot analysis revealed that the overexpression of CaMK IV significantly suppressed the expression of proliferation-related proteins while promoting the activity of apoptosis-related proteins in the U87 GBM cell line. Moreover, overexpression of CaMK IV inhibited the phosphorylation of the MAPK pathway-related proteins JNK and P38, indicating CaMK IV has an inhibitory effect on GBM cells via the MAPK signaling pathway.
Conclusion
MiR-129-5p selectively inhibits the proliferation, migration, and invasion of U87 cells by targeting CaMK IV via the MAPK signaling pathway. MiR-129-5p and CaMK IV play an important inhibitory roles in GBM and may serve as potential therapeutic targets for GBM treatment.
Evaluating the impact of point-of-care electroencephalography on length of stay in intensive care unit: Sub analysis of SAFER Trial
Authors: Desai Masoom , Aparicio Mariel , Sheikh Irfan , Cormier Justine , Gallagher Kaileigh , Hussein Omar , Cespedes Jorge , Hirsch Lawrence J , Westover Brandon , Struck Aaron 
Published: February 2024

Abstract
Background: Electroencephalography (EEG) is needed to diagnose nonconvulsive seizures (NCS). Prolonged NCSs are associated with neuronal injuries and deleterious clinical outcomes.
However, it is uncertain whether the rapid identification of these seizures using point-of-care EEG (POC-EEG) can have a positive impact on clinical outcomes.
Methods: In a retrospective cohort sub-analysis of the recently completed multicenter SAFER-EEG trial, we compared intensive care unit length of stay (ICU LOS), poor functional outcome (modified Rankin score (mRS) ≥ 4), and time to EEG between adult patients receiving an FDA-cleared POC-EEG (Ceribell, Inc) and those receiving conventional EEG (convEEG). Patient records from January 2018 to June 2022 at three different academic centers were reviewed focusing on EEG timing and clinical outcomes. Propensity score matching was applied utilizing key clinical covariates to control for confounders. Medians and quartiles (25th and 75th) were calculated for descriptive statistics. Non-parametric tests (Mann-Whitney U) were used for the continuous variables, and Chi-square test for the proportions.
Results: A total of 283 ICU patients (62 convEEG, 221 POC-EEG) were included. The two populations were matched using demographic and clinical characteristics. We found that the ICU LOS was significantly shorter in the POC-EEG cohort compared to convEEG cohort (3.9 (IQR: 1.9-8.8) vs. 8.0 (3.0-16.0) days, p = 0.003). Moreover, mRS functional outcomes were also different between the two EEG cohort groups (p =0.047*).
Conclusion: This study reveals a significant association between early POC-EEG detection of NCSs and decreased ICU-LOS. The POC-EEG differed from conv-EEG demonstrating better functional outcomes compared to the latter in a matched analysis. These findings corroborate previous research advocating the benefit of early diagnosis of NCS. Causal relationship between type of EEG and metrics of interest such as ICU-LOS, functional/clinical outcomes need to be confirmed in future prospective randomized studies.
Influence of grafting materials on free gingival graft survival and alveolar ridge maintenance in socket seal procedures: a randomized controlled clinical trial
Authors: Kusuvan Pitcha , Leepong Narit , Suttapreyasri Srisurang 
Published: February 2024

Abstract
Purpose
This study aimed to investigate the viability of free gingival grafts (FGG) and assess clinical and radiographic changes in the alveolar ridge following socket seal surgery with or without bone graft.
Materials and methods
Twenty-eight anterior and premolar tooth extractions were randomly allocated to 2 groups: socket graft of freeze-dried bone allograft (FDBA) sealed with FGG (n = 15) and control with empty sockets sealed solely with FGG (n = 13). Photographs taken at 3, 7, 14, and 30 days post-surgery assessed FGG viability. Alveolar ridge volume was clinically evaluated via intraoral scanners before surgery and at 1 and 3 months post-surgery. CBCT scans taken immediately post-surgery and 3 months later assessed alveolar ridge dimensions.
Results
FGG viability in both groups increased from day 3 and reached the maximum score on day 14. Alveolar ridge volume reduction at 3 months in the FDBA group was comparable to the control group. Buccal alveolar bone height reduction was significantly higher in the FDBA group than the control group, while palatal alveolar bone height was comparable. Alveolar bone width reduction was evident but not statistically significant between the groups. The FDBA group exhibited a significant alteration in bone volume compared to the control group.
Conclusion
Viability of FGG was not affected by graft filling materials. Sealing the socket with FGG effectively preserved socket integrity and ridge volume in minor socket defects using either graft filling material or not. This study was registered on 4 January 2021 on Thai Clinical Trials Registry (TCTR20210104001).
Balanced Butterfly Counting in Bipartite-Network
Authors: Das Apurba , Abidi Aman , Kiran Mekala , Shingane Ajinkya 
Published: February 2024

Abstract
Bipartite graphs offer a powerful framework for modeling complex relationshipsbetween two distinct types of vertices, incorporating probabilistic, temporal, andrating-based information. While the research community has extensively exploredvarious types of bipartite relationships, there has been a notable gap in studyingSigned Bipartite Graphs, which capture liking/ disliking interactions in real-worldnetworks such as customer-rating-product and senator-vote-bill. Balance but-terflies, representing 2 × 2 bicliques, provide crucial insights into antagonisticgroups, balance theory, and fraud detection by leveraging the signed information.However, such applications require counting balance butterflies which remainsunexplored. In this paper, we propose a new problem: counting balance butterfliesin a signed bipartite graph. To address this problem, we adapt state-of-the-artalgorithms for butterfly counting, establishing a smart baseline that reduces thetime complexity for solving our specific problem. We further introduce a novelbucket approach specifically designed to count balanced butterflies efficiently. Wepropose a parallelized version of the bucketing approach to enhance performance.Extensive experimental studies on nine real-world datasets demonstrate that ourproposed bucket-based algorithm is up to 120x faster over the baseline, and theparallel implementation of the bucket-based algorithm is up to 45x faster over thesingle core execution. Moreover, a real-world case study showcases the practicalapplication and relevance of counting balanced butterflies.
Systemic immune inflammation index is a valuable marker for predicting hemodialysis patients with depression: a cross-sectional study
Authors: han xixi , 张 慧莹 , Kong Jing-wen , Liu Yu-xin , Zhang Ke-ren , Ren Wenying 
Published: February 2024

Abstract
Background：Maintenance hemodialysis(MHD) patients suffer from enormous physical, mental stress and poor quality of life, so an increasing number of patients are in a long-term state of depression. A prominent feature of MHD patients is chronic persistent inflammation, which is also an important mechanism for the onset of depression. Therefore, finding economically convenient inflammatory markers to predict and diagnose the onset of depression in MHD patients is of great value. As a novel inflammatory marker, systemic immune inflammation index(SII) can more comprehensively reflect the inflammation and immunity level of patients. This study aims to explore the relationship between SII and depressive symptoms in MHD patients.
Methods：A cross-sectional study was conducted on 208 MHD patients from three dialysis centers. Based on the Hospital Anxiety and Depression Scale(HADS) scores, patients were divided into non-depression and depression groups. Inter group comparison and multivariate logistic regression analysis were performed to determine whether SII is an independent risk factor for depression in MHD patients. Receiver operating characteristic(ROC) curve was used to evaluate the predictive value of SII on depression symptoms in MHD patients.
Results：38.83% of the included patients were in a state of depression. After adjusting for all confounding factors, MHD patients with SII>963.93 had a 4.709 times higher risk of depression than those with SII≤478.32 (OR=4.709, 95% CI 1.821-12.178, P<0.01). ROC analysis showed that SII>685.11 was the best cutoff value for MHD depression patients, and the area under the curve (AUC) was 0.681.
Conclusions：High SII is an independent risk factor for depressed MHD patients and an ideal inflammatory marker for predicting and identifying depression in MHD patients.
Study on vibration characteristics of suspension frame system for high temperature superconducting flux pinned maglev train under track irregularity harmonic excitation
Authors: Zhang Mingliang , Liu Liru , Shen Yongjun , Cui Kai 
Published: February 2024

Abstract

In order to avoid the abnormal vibration behavior of the high temperature superconducting flux pinned maglev train at high velocity (about 500 km/h to 600 km/h) due to the external interference from the suspension frame system, the vibration characteristics of suspension frame system under track irregularity harmonic excitation are studied. Firstly, the levitation force between the high temperature superconductor combination and the permanent magnet guideway (PMG) is measured by way of the quasi-static test platform, and the empirical formula of levitation force is obtained. Then, the nonlinear vibration differential equation of the suspension frame system under the track irregularity harmonic excitation is established. The first approximate solution is obtained based on the multi-scale method, which is verified by way of the numerical solution. Finally, the amplitude-frequency response equation of the suspension frame system under the primary resonance is derived, thus the influence of running velocity, track irregularity wavelength and amplitude on the steady-state amplitude is studied. An analytical method for determining the feasible domain of track irregularity parameters under different running velocity is proposed based on the safety standard of maglev train. The effective domain of track irregularity parameters can be obtained. The methodology and results of this manuscript provide a theoretical foundation for designing PMG for high temperature superconducting flux pinned maglev train.
Identification of PLMS Sleep Disorder using EEG Signal feature-based classification by Machine Learning Techniques
Authors: Tiwari Shivam , Arora Deepak , Nagar Vishal , Srivast Durgesh , Ahmed Suhaib , Das Jadav Chandra , Mallik Saurav , Shah Mohd Asif 
Published: February 2024

Abstract

It has been demonstrated that periodic leg movements during sleep (PLMS) are connected to alterations in features of EEG signal. Data mining evaluates hemispheric/cortical activity-related hemodynamic changes. We used data mining and machine learning to examine whether there are changes in brain hemodynamics associated with PLMS. Nighttime EEG recordings were made while brain activity was monitored in PLMS patients. Scores from EEG feature data were examined to find relevant differences. PLMS were consistently accompanied by variations in brain activity that increased in magnitude when related to changes in EEG and persisted even in the absence of any arousal that could be seen visually in the EEG. This study is the first to show PLMS-related alterations in brain activity. Clinical relevance of these observations has yet to be established. We have used wavelet decomposition with or without it to complete the aforementioned classification tasks. For binary disease to identify tasks employing the sleep stage of N3, we have achieved classification accuracy ranging between 92% and 96% and AUC ranging between 0.85 and 0.89. But, as the use of the suggested wavelet-based features is performed, a superior classification accuracy is achieved, with an AUC of 0.99 and a range of 94–98%. This is because the best wavelet-based features have a high degree of discrimination.
Perception and attitude of second-year medical and dental students at Gandaki Medical College regarding the use of a problem-based learning approach in basic medical sciences
Authors: Bista Soni , Paudel Sabita , Shrestha Bijayata , Subedi Nuwadatta , Basnyat Rupesh Shingh , Chettri Pradip 
Published: February 2024

Abstract

Background Problem-based learning (PBL) is a learner-centered pedagogical approach in which a person learns about a subject by working in groups to solve an open-ended problem. The objective of the present study was to assess students' perceptions and attitudes toward PBL and the role of tutors in PBL.Methods This quantitative study was conducted among second-year medical and dental undergraduate students from November 2022 to November 2023. The students were divided into eight groups, and each group was facilitated by tutors. A PBL tutor guide, with a case on the topic of diarrhea/dysentery, was designed as a module with six triggers and given to the groups. At the end of nine days of PBL sessions, feedback from students on the process of PBL and tutors was received using the 'Dolmans and Schmidt' and 'Dolmans and Ginns' questionnaires, respectively. The level of attitude of the students based on their feedback toward the PBL process and the tutors were also assessed. The data were entered into Microsoft Excel, and descriptive analysis was performed using the Statistical Package for Social Sciences (SPSS), version 21.Results Among the 79 responses received, 72 (92.4%) students gave a good rating of the process of PBL, indicating a favorable attitude. The participants agreed with the themes based on the influence of discussion, content tested, course objectives, lectures, tutors, and reference literature. Similarly, 63 (81%) students gave a good rating of the tutorials’ performance, suggesting a favorable attitude. They agreed that tutors facilitated active, self-directed, contextual, and collaborative learning.Conclusions This study revealed the positive perceptions and attitudes of medical and dental undergraduate students regarding the PBL process and the role of tutors in PBL. The outcomes of this study have provided a foundation for implementing PBL in Nepal's medical and dental undergraduate curricula.
Prognostic significance of low HER2 expression in gastric cancer: a retrospective, single-center analysis
Authors: Gokon Yusuke , Nakashima Yuka , Ohki Yusuke , Ogino Takahiro , Hatoyama Keiichiro , Shimizu Kenji , Kashiwadate Toshiaki , Katsura Kazunori , Abe Takayuki , Sato Koichiro 
Published: February 2024

Abstract

Introduction: Mutated human epidermal growth factor receptor 2 (HER2) is an oncogene with critical pathogenic roles in breast cancer. HER2-low-positive breast cancer is a recently described subtype. We aimed to explore the clinical and molecular characteristics of gastric cancer with low HER2expression, drawing on recent developments in breast cancer subtypes.
Material and methods: This retrospective study involved 135 patients with HER2-non-amplified gastric cancer treated in Iwate Prefectural Iwai Hospital from 2013 to 2018. HER2 evaluation was performed per the 2013 American Society of Clinical Oncology/College of American Pathologists guidelines, and tumors were classified as HER2-null or low-positive based on immunohistochemistry score 0 or 1+ or 2+ with HER2 negativity in situ hybridization, respectively. Statistical analyses, including Kaplan–Meier analyses and Cox proportional hazards model were conducted.
Results:Low HER2 expression was present in 25% (34/135) of the patients. Clinicopathological characteristics were not significantly different between the HER2-low and null groups. Kaplan–Meier analysis of overall survival was significantly longer in the HER2-low group than in the HER2-null group (P = 0.01). In multivariate Cox regression analysis, HER2-null status was associated with worse survival (hazard ratio 2.92; 95% confidence interval 1.24–6.86; and P = 0.01).
Conclusion: This study highlights the prognostic importance of low HER2 expression in gastric cancer, similar to that observed in HER2-low-positive breast cancer, and suggests reclassification of gastric cancer to improve personalized treatment. Future studies should elucidate the molecular underpinnings of low HER2 expression in gastric cancer to guide novel therapeutic strategies and improve outcomes.
Dynamic change characteristics of wetlands in Hefei and their driving factors along the urban–rural gradient
Authors: Zhang Hui , Li Chuntao , Zhang Yichen , Zhang Lang 
Published: February 2024

Abstract
Context
Wetlands persistently diminish due to their own vulnerability, along with the combined impact of changes in the ecological surroundings and interference from anthropogenic interventions. Comprehending the driving mechanisms of wetland changes is crucial for wetland conservation.
Objectives
This research seeks to analyze the dynamic change characteristics of wetlands in Hefei. The objective is to establish a framework for urban-rural gradient analysis, exploring the impact of ecological surroundings and anthropogenic interventions factors, as well as their interactions, on wetland dynamics across different urban-rural gradient regions.
Methods In this research, an urban-rural gradient was defined utilizing a clustering indicator derived from the composition and configuration of land use. The optimal parameters-based geographical detector (OPGD) performed a quantitative statistical analysis of the driving forces behind wetland changes under different urban–rural gradients.
Results
The results indicate that: (1) From 1990 to 2020, wetland area exhibited an ongoing diminishing tendency. (2) The urban–rural gradient can be classified into four categories: urban, agricultural village, semi-ecological village, and ecological village. (3) The driving factors of wetland changes vary across different types of urban–rural gradient regions. The most significant factors influencing wetland changes in each type of gradient region during different periods are the cropland proportion, impervious surface, OC, silt, and GDP. (4) Interactions among driving factors generally exhibit stronger explanatory power.
Conclusions
The research results reveal the driving mechanisms that underlie wetland dynamics in different urban–rural gradient regions. This information supports the development of more targeted wetland restoration and protection plans, contributing to improved synergy between urban and rural development and ecological conservation efforts.
Experimental and Theoretical Study of Hybrid Dihydrogen Phosphate System: Insights into Bulk Growth, Chemical Etching, Non-Linear Optical Properties, and Antimicrobial Activity
Authors: Rafik Abdellatif , Lakhdar Fatima , Zouihri Hafid , Guedira Taoufiq , Acharjee Nivedita , Islam Mohammad Shahidul , Salah Mohammed , Zeroual Abdellah 
Published: February 2024

Abstract
The controlled slow evaporation process conducted at room temperature has yielded a novel hybrid material designated as (2-hydroxyethyl) trimethylammonium dihydrogen phosphate [2-HDETDHP] (C5H14NO+, H2PO4−), cultivated through the solution growth method. X-ray crystallography analysis indicates that the material adopts a triclinic structure with a filling rate of P\(\stackrel{-}{1}\)and a Z value of 2. This hybrid material exhibits significant absorption characteristics in the middle and far ultraviolet regions, UV-visible spectroscopy revealed that it remained transparent in the visible and near-visible ultraviolet domains. The various vibration modes were examined using FT-IR spectroscopy, and their relationships with the functional groups of the related structure were determined. Two- and three-dimensional fingerprint maps, along with three-dimensional using crystal Structures through Hirshfeld Surface Analysis, elucidate that O•••H and H•••H interactions dominate the structure, constituting the major proportions of 49.40% and 50.40%, respectively. Hirshfeld surfaces were employed to investigate intermolecular hydrogen bonding specifically within single phosphate groups. Fingerprint plots derived from the Hirshfeld surface were utilized to assess the pertinent percentages of hydrogen bonding interactions, with 80.6% of them being attributed to a fragment patch. This discovery holds potential implications for the future design and synthesis of large nonlinear optical (NLO) hybrid crystals.
Improved YOLOv7 Algorithm for Floating Waste Detection Based on GFPN and Long-Range Attention Mechanism
Authors: Peng Cheng , He Bing , Xi Wenqiang , Lin Guancheng 
Published: February 2024

Abstract
Floating wastes in rivers possess characteristics including small scale, low pixel density and complex backgrounds, which makes it prone to false and missed detection during image analysis, thus resulting in a degradation of detection performance. In order to tackle these challenges, a floating waste detection algorithm based on YOLOv7 is proposed, which combines the improved GFPN and long-range attention mechanism. Firstly, we import the improved GFPN to replace the Neck of YOLOv7, thus providing more effective information transmission that can scale into deeper networks. Secondly, the convolution-based and hardware-friendly long-range attention mechanism is introduced, allowing the algorithm to rapidly generate attention map with a global receptive field. Finally, the algorithm adopts the WiseIoU optimization loss function to achieve adaptive gradient gain allocation and alleviate the negative impact of low-quality samples on the gradient. The simulation results reveal that the proposed algorithm has achieved a favorable average accuracy of 86.3\% in real-time scene detection tasks. This marks a significant enhancement of 6.3\% compared to the baseline, indicating the algorithm's good performance for floating waste detection.