bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feasibility and Accuracy of a Real-Time Depth-Based Markerless Navigation Method for Hologram-Guided Surgery
Authors: Groenenberg Annabel , Brouwers Lars , Bemelman Mike , Maal Thomas J.J. , Heyligers Jan M.M. , Louwerse Max M. 
Published: August 2023

Abstract
Background
Two-dimensional (2D) medical visualization techniques are often insufficient for displaying complex, three-dimensional (3D) anatomical structures. Moreover, the visualization of medical data on a 2D screen during surgery is undesirable, because it requires a surgeon to continuously switch focus. This switching focus problem also results in extensive use of perioperative radiation to gain additional insights for a 3D configuration. The use of augmented reality (AR) has the potential to overcome these problems, for instance by using markers on target points that are aligned with the AR solution. However, placing markers for a precise holographic overlay are time-costly, always have to be visible within the field of view and disrupt the surgical workflow. In this study, we developed ARCUS, a depth-based, markerless holographic navigation system, which overlays 3D holograms onto target body parts to overcome the limitations of 2D medical visualization techniques.
Methods and results
In a phantom study, our markerless ARCUS system was evaluated for accuracy and precision by comparing it to a Quick Response (QR) code-based holographic registration method. The evaluation involved measuring the Euclidean distance between target points on a 3D-printed face and their corresponding points on the overlayed hologram using a robotic arm for precise measurements. Correlations between the measuring points provided by the our markerless system and the actual measuring points on the 3D-print were high, with promising consistent Euclidean distances between the 3D points and the holographic points generated by both our markerless system and the Vuforia QR Code system.
Conclusion
The markerless holographic navigation system holds strong potential as a 3D visualization method in clinical settings. While both ARCUS and the Vuforia QR code-based method fell short of meeting the surgical threshold of a 2 mm offset, our markerless system demonstrated promising features such as instant registration, markerless operation, and potential compatibility with non-rigid structures. Its automated hologram overlay onto target body parts offers significant advantages, paving the way for investigations into future clinical use.
Buried Arc application in Hybrid Laser-Arc Welding of Thermo-Mechanical Control Process Steels
Authors: Dreveck Natália , Borba Tadeu , Moura Osmar , Ferraresi Henrique , Bond Danielle 
Published: August 2023

Abstract
Hybrid laser arc welding (HLAW) has gained significant attention in recent years due to its ability to provide high-quality welds with improved productivity. One of the key challenges in HLAW is the efficient utilization of the welding arc energy. This work aims to analyze the HLAW process with gas metal buried arc welding (GMBAW), and compare the results obtained with typical results of laser welding and HLAW with non buried arc. Tests were conducted at two welding speeds, 1.0 m/min and 1.5 m/min, and the results were compared with autogenous laser bean welding (LBW) and HLAW without a buried arc, on ASTM A709 steel that was manufactured by Thermo-Mechanical Control Process (TMCP). The buried arc HLAW resulted in a more uniform weld bead, with a reduced heat-affected zone. Moreover, the laser power required to achieve full penetration of the weld joint was smaller for the buried arc HLAW variation.
Rapid and Non-destructive Identification of Anopheles gambiae and Anopheles arabiensis Mosquitoes Species Using Raman Spectroscopy via Machine Learning Classification Models
Authors: Omucheni Dickson L , Kaduki Kenneth A , Mukabana Wolfgang R 
Published: August 2023

Abstract
Background
Identification of malaria vectors is an important exercise that can result in the deployment of targeted control measures and monitoring the susceptibility of the vectors to control strategies. Although known to possess distinct biting behaviours and habitats, the African malaria vectors Anopheles gambiae and Anopheles arabiensis are morphologically indistinguishable and are known to be discriminated by molecular techniques. In this paper, Raman spectroscopy is proposed to complement the tedious and time-consuming Polymerase Chain Reaction (PCR) method for the rapid screening of mosquito identity.
Methods
A dispersive Raman microscope was used to record spectra from the legs (femurs and tibiae) of fresh anaesthetized laboratory-bred mosquitoes. The scattered Raman intensity signal peaks observed were predominantly centered at approximately 1400 cm− 1, 1590 cm− 1, and 2067 cm− 1. These peaks, which are characteristic signatures of melanin pigment found in the insect cuticle, were important in the discrimination of the two mosquito species. Principal Component Analysis (PCA) was used for dimension reduction. Four classification models were built using the following techniques: Linear Discriminant Analysis (LDA), Logistic Regression (LR), Quadratic Discriminant Analysis (QDA), and Quadratic Support Vector Machine (QSVM).
Results
PCA extracted twenty-one features accounting for 95% of the variation in the data. Using the twenty-one principal components, LDA, LR, QDA, and QSVM discriminated and classified the two cryptic species with 86%, 85%, 89%, and 93% accuracy, respectively.
Conclusion
Raman spectroscopy in combination with machine learning tools is an effective, rapid and non-destructive method for discriminating and classifying two cryptic mosquito species, Anopheles gambiae and Anopheles arabiensis. belonging to the Anopheles gambiae complex.
Development and Validation of a Disulfidptosis-Related lncRNA Prognostic Risk Model for Cervical Cancer
Authors: Jin Xuanhong , Zhu Xinbin , shen Hangchen , You Liangkun , Pan Hongming 
Published: August 2023

Abstract
Background
Disulfidptosis, a recently discovered cellular death mechanism, has been proposed as a potential target for cancer therapy. However, its relationship with Cervical Cancer (CC) remains largely unexplored. Our research primarily focuses on understanding the role of associated long non-coding RNA (lncRNA) in Disulfidptosis and its potential implications for the immune response and prognosis in CC patients.
Methods
Using data from the Cancer Genome Atlas (TCGA), Disulfidptosis-associated lncRNAs in CC were identified and a risk model was developed. Analysis was done to evaluate tumor microenvironment differences, predict immunotherapy response and drug sensitivity. For external validation, we used the Cancer Genome Characterization Initiative - HIV + Tumor Molecular Characterization Project - Cervical Cancer (CGCI-HTMCP-CC) project for direct validation and introduced the Gene set score (GS) as a risk score alternative in the GEO44001 and IMvigor210 datasets for complementary validation.
Results
Risk groups displayed significant disparities in overall survival, with ROC curves exceeding 0.75 for 1- and 3-year intervals across the TCGA dataset. Through correlation analysis and single-cell analysis, we have identified USP30-AS1 as a potentially significant factor associated with immune infiltration and prognosis in cervical cancer, and we have constructed its Competing endogenous RNA (CeRNA) network. Moreover, The low-risk group exhibited increased immune checkpoint expression and enhanced immunotherapy effectiveness. Validation confirmed these findings. The high-risk group showed increased homologous recombination deficiency (HRD) and sensitivity to treatments like Paclitaxel and 5-Fluorouracil.
Conclusion
The research provides first-ever Disulfidptosis-related lncRNA signatures for predicting prognosis and assessing tumor microenvironment in CC, offering novel therapeutic insights.
Effects of cutaneous leishmaniasis on patients' quality of life in Lay Gayint District, Northwest Ethiopia
Authors: Yizengaw Endalew , Nibret Endalkachew 
Published: August 2023

Abstract
Introduction
Cutaneous Leishmaniasis (CL) is caused by protozoan parasite called Leishmania. It is endemic in more than 100 countries globally. Despite its vast prevalence and impact on quality of life, it is one of the most neglected tropical dermatological diseases. The CL burden has often been expressed based on the physical disfigurement caused by the disease. However, considering the impact of the disease beyond physical impairment and changes in patients’ appearance would help to better understand the disease as a public health problem. The effect of CL on patients' quality of life was determined in this study.
Methods
The data that were related to quality of life were collected using Standard one-week Dermatology Life Quality Index (DLQI) questionnaire. The questions were categorized under seven domains: symptoms & feelings, daily activities, work and school, leisure, personal relationships, and treatment. Each question was scored on a three-point scale: Very much (3), A lot (2), A little (1), Undecided (0), and Not at all (0). The sum of the scores lied between 0 to 48. A higher score shows worse quality of life. The data were entered and analysed using Statistical Package for Social Science 23. Frequencies and proportions were used to describe the data. Differences were considered statistically significant at p < 0.05.
Results
The lives of the majority of CL patients (60.7%) were significantly affected by CL. The quality of life of patients was moderately impacted by CL in 25% of the CL patients. In 32.1% of the CL patients, the effect of CL on patients' quality of life was very large. The quality of one CL patient's life was extremely largely affected. The disease had a small effect on 32.1% of the CL patients. The domain related with personal relationships was the most affected domain followed by symptoms and feelings, treatment, and leisure.
Conclusion
The Dermatology Life Quality Index demonstrates that CL has a small to extremely very large negative effect on the quality of life of patients.
Clinical comparison of unilateral biportal endoscopic lumbar fusion verse 3D microscope-assisted transforaminal lumbar interbody fusion in the treatment of single-segment lumbar spondylolisthesis with lumbar spinal stenosis：A retrospective study with 24-Month Follow-Up
Authors: Guo wenlong , Li Tong , YU Yang , Feng Chaoqun , Hu Youpeng , Fan Xiaohong 
Published: August 2023

Abstract
Objcetive: To explore the safety the mid-term efficacy of unilateral biportal endoscopic transforaminal lumbar interbody fusion ( UBE-TLIF ) and 3D microscope-assisted transforaminal lumbar interbody fusion ( MMIS-TLIF ) in the treatment of single-segment lumbar spondylolisthesis with lumbar spinal stenosis ( DLS-LSS ).。Methods The clinical data of 49 patients who underwent UBE-TLIF or MMIS-TLIF in our hospital from September 2019 to March 2021 were retrospectively analyzed. Among them, 26 patients underwent UBE-TLIF and 23 patients underwent MMIS-TLIF. The demographic and perioperative outcomes of patients before and after surgery were reviewed. Visual analogue scale ( VAS ) and Oswestry disability index ( ODI ) were used to evaluate the clinical outcomes of patients before operation and at 1 month, 3 months, 6 months, 12 months and 24 months after operation. The lumbar lordosis angle ( LL ), disc height ( DH ) and lumbar intervertebral fusion rate were assessed before operation and at the last follow-up.Results The VAS and ODI of the two groups were improved compared with those before operation. The ODI of UBE-TLIF was lower than that of MMIS-TLIF at 1 month, 3 months, 6 months and 12 months after operation, and there was no significant difference between the two groups at other time points ( P > 0.05 ). There was no significant difference in VAS between the two groups at each time point ( P > 0.05 ). However, UBE-TLIF had more advantages in blood loss and hospital stay. The complications between the UBE-TLIF (11.54%) and the MMIS-TLIF (17.39%) were minor ( P > 0.05 ). Radiographic outcomes showed that the LL and DH of the two groups were improved compared with those before operation, and the difference before and after operation was not significant ( P > 0.05 ). The fusion rate was 96.2% in the UBE-TLIF group and 95.7% in the MMIS-TLIF group. There was no significant difference in the fusion rate between the two groups ( P > 0.05 ).Conclusions Both UBE-TLIF and MMIS-TLIF have favorable outcomes in the treatment of single-segment DLS-LSS. They have the advantages of clear surgical vision, high surgical efficiency, and favorable mid-term efficacy. In addition, compared with MMIS-TLIF, UBE-TLIF causes less intraoperative bleeding and faster postoperative recovery.
Tea Intake Increases Risk of Glaucoma: A Multivariable Mendelian Randomization Study
Authors: Xu Changzhong , Zhang Lusi , Tan Guangshuang , Xu Datong , Jiang Qian , Jiang Bing 
Published: August 2023

Abstract
Background
Numerous observational studies reported that tea intake decreases the risk of glaucoma. However, the observed correlation is inconclusive. To investigate the causal relationship between genetically predicted tea intake and glaucoma, ocular hypertension (OHT), primary angle-open glaucoma (POAG), and intraocular pressure (IOP), we performed a two-sample Mendelian randomization (MR) study based on GWAS summary data.
Methods
Genetic instruments for tea intake were obtained from UK Biobank involving 447,485 people. Summary-level data on outcomes were retrieved from the FinnGen project comprising 377,277 individuals (including 18,902 of glaucoma, 10,758 of OHT, and 7,756 POAG participants). Data for confounder factors (smoking, coffee consumption, and alcohol drinking) and intermediary factors (intraocular pressure) came from different GWAS meta-analysis studies. We explored the causal effect of tea intake and glaucoma outcomes by conducting two-sample MR, multivariable MR, and two-step MR. Inverse variance-weighted (IVW) analysis was used as the primary method for causal analysis. Additionally, a sensitivity analysis was conducted to ensure the reliability of the results.
Results
Two-sample MR found that genetically predicted tea intake was causally associated with a higher risk of glaucoma [IVW odds ratio, ORIVW = 1.41, 95% confidence interval (CI) = 1.09–1.84, P = 0.009], as well as ocular hypertension [ORIVW = 1.40, 95% CI = 1.07–1.83, P = 0.013]. Multivariate MR indicated that the adverse causality effect remained significant, even after adjustment for other modifiable factors. Mediation analysis via two-step MR showed that these effects were not mediated by intraocular pressure, suggesting an independent causal mechanism between tea intake and a higher risk of glaucoma and ocular hypertension. Sensitivity analyses found little evidence of pleiotropy.
Conclusions
Genetically predicted tea intake has a causal effect on the increased risk of glaucoma and ocular hypertension. Moreover, this harmful causal association is not mediated by intraocular pressure.
Clinical Significance of Upregulation of EZH1 Expression in Hepatocellular Carcinoma Tissues
Authors: Chen Si-Yu , Li Jian-Di , Huang Zhi-Guang , He Rong‐Quan , Chen Feng , Li Jian-Jun , Huang Zhao-Quan , Chen Ji-Tian , Chen Gang , Dang Yi-Wu 
Published: August 2023

Abstract
Purpose
The incidence and mortality of hepatocellular carcinoma (HCC) are increasing. It is urgent to develop more effective HCC biomarkers for diagnosis and treatment. This project intends to explore the expression of the enhancer of zeste 1 polycomb repressive complex 2 subunit (EZH1) and its mechanism in HCC.
Methods
This study integrates global microarray and high-throughput sequencing datasets, combined with internal immunohistochemistry, to analyze the expression and prognostic value of EZH1 in HCC. Functional enrichment analysis was conducted to investigate transcriptional targets, which were achieved by intersecting HCC over-expressed genes and EZH1 co-expressed genes, putative transcriptional targets. The relationship between EZH1 and anticancer drugs was detected by drug sensitivity analysis.
Results
In this study, 84 datasets from 40 platforms (3926 HCC samples and 3428 non-cancerous liver tissues) were included to show the high expression of EZH1 in HCC. Immunohistochemistry with 159 HCC samples and 62 non-HCC samples confirmed a high expression level. HCC patients with high EZH1 expression had worse survival prognoses. GO and Reactome analysis revealed that metabolism-related pathways, including autophagy, are critical for HCC. Interestingly, as one of the EZH1 potential transcriptional targets, autophagy-related 7 (ATG7) appeared in the above pathways. ATG7 was positively correlated with EZH1, upregulated in HCC, and mediated poor prognosis. Upregulation of EZH1 was found to be in contact with HCC anti-tumor drug resistance.
Conclusion
The upregulation of EZH1 expression can promote the occurrence of HCC and lead to poor clinical progression and drug resistance, these effects may be mediated by regulating ATG7.
Psychological Reactions among Adults during the COVID-19 Pandemic: A Cross-Sectional Survey in Atyrau, Kazakhstan
Authors: Kaliyev Asset A. , Mamyrbayev Arstan A. , Bermagambetova Saule K. , Satybaldiyeva Umit A. , Baspakova Akmaral M. , Umarova Gulmira A. , Amanzholkyzy Ainur , Zhilisbayeva Kulyash R. , Mussin Nadiar M. , Zinalieva Ainur N. 
Published: August 2023

Abstract
Background This cross-sectional survey conducted in Atyrau, Kazakhstan aimed to understand the psychological reactions among adults during the COVID-19 pandemic.Methods The study involved sampling individuals from different age groups and employed standardized questionnaires to assess psychological and psychophysiological profiles, considering factors such as gender, age, education, and social status. A total of 798 participants were surveyed with informed consent obtained from all participants.Results The findings revealed a wide range of psychological reactions experienced by the urban population during the pandemic. Vulnerable groups, including the young, the elderly, and predominantly females, exhibited a significant negative impact on their psychological and psychophysical health. Factors such as education, social living conditions, family status, and income level played crucial roles in influencing individuals' psychoemotional state. Comparative analysis between individuals diagnosed with COVID-19 and those without the disease showed that the pandemic acted as a trigger for the manifestation of psychoemotional, psychophysiological, and mental disorders. The study emphasized the importance of psychoprophylactic measures and psychoeducational methods for all population groups, particularly targeting vulnerable populations. Integration of mental health and psychosocial support services into the public health response was highlighted as crucial to mitigating the adverse effects on individuals' mental health and overall well-being.Conclusions Understanding the psychological reactions during the COVID-19 pandemic provides valuable insights for developing effective interventions and support systems to alleviate the impact on individuals' mental health. This research contributes to a better understanding of the psychological responses experienced by adults during the pandemic in Atyrau, Kazakhstan. The study's findings underscore the importance of addressing mental health needs and implementing targeted interventions to support the psychological well-being of the population. By prioritizing mental health and psychosocial support, the long-term consequences associated with the pandemic can be minimized, ultimately enhancing the overall quality of life for individuals affected by the crisis.
Pulmonary 4D flow CMR imaging in Landrace pigs under rest and stress
Authors: Faragli Alessandro , Hüllebrand Markus , Berendsen Amy , Solà Laia Tirapu , Muzio Francesco Paolo Lo , Götze Collin , Tanacli Radu , Doeblin Patrick , Stehning Christian , Schnackenburg Bernhard , Vosse Frans Van der , Nagel Eike , Post Heiner , Hennemuth Anja , Alogna Alessio , Kelle Sebastian 
Published: August 2023

Abstract
Introduction:
CMR 4D flow is a promising technique for assessing vessel hemodynamics. However, its current utilization is limited due to the lack of reference values, particularly for pulmonary vessels, generally understudied. With the purpose to serve for future research studies, we have analysed the pulmonary flow and velocity in Landrace pigs at both rest and stress by utilizing the software MEVISFlow.
Methods:
Nine (n=9) healthy Landrace pigs were acutely instrumented closed-chest and transported to the CMR facility for evaluation. After baseline (BL) measurements, dobutamine (Dob) was administrated to achieve a 25% increase in heart rate compared to baseline values. 4D flow images from the pigs during both rest and stress states have been analysed through MEVISFlow software by two independent observers. In detail, we examined peak flow and peak velocity of the pulmonary trunk (PT) and both left and right pulmonary arteries (LPA and RPA, respectively).
Results:
A significant difference between BL and Dob regarding both peak flow and peak velocity in all the pulmonary vessels was observed. Peak flow changed from 0.09 L/min to 0.14 L/min in PT, from 0.04 L/min to 0.07 L/min in LPA and from 0.05 L/min vs 0.07 L/min in RPA. Peak velocity changed from 0.90 m/s to 1.40 m/s in PT, from 0.80 m/s to 1.40 m/s in LPA and from 0.80 m/s to 1.33 m/s in RPA.
Conclusions:
The current study showed that peak flow and peak velocity assessed through pulmonary 4D flow follow the physiological alterations during systole and diastole and after stress induced by dobutamine.
Pedestrian Motion Characteristic-based Trajectory Prediction from the Driver’s Perspective
Authors: Huang Mengtao , Wang Jiaxuan 
Published: August 2023

Abstract
In traffic scenarios, pedestrians navigate to their destinations while avoiding obstacles. Autonomous vehicles must predict pedestrian future positions and adjust their paths to prevent accidents. Previous trajectory prediction methods commonly use a static camera's view, not directly suitable for autonomous driving. This study proposes a method from a vehicle's perspective to predict pedestrian trajectories. Vehicle motion information is fused with pedestrian features, then used as input for subsequent prediction module processing. Two modules, MFM and SIM, are proposed to solve the interaction problem between individual pedestrian features and neighborhood pedestrians respectively. Our method's performance is verified using the MOT16 multi-person dataset and the Daimler pedestrian path prediction benchmark dataset. Compared to the existing FPL method, our approach reduces the mean displacement error (ADE) by 8% and the final displacement error (FDE) by 10%. It provides a crucial step towards safe coexistence of autonomous vehicles and pedestrians, by offering both theoretical and tested means for predicting the future location of pedestrians.