bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hip Stability Parameters with Dual Mobility, Modular Dual Mobility and Fixed Bearing in Total Hip Arthroplasty: an Analytical Evaluation.
Authors: Tigani Domenico , Banci Lorenzo , Valtorta Riccardo , Amendola Luca 
Published: September 2021

Abstract
Background. Use of dual mobility in total hip arthroplasty has gained popularity due to the ability to reduce dislocation through increased jumping distance and impingement-free arc of movement. Recently, modular dual mobility systems were introduced to give the possibility to use dual mobility with standard metal-backed shells, however few has been studied to date regarding how jumping distance and the center of rotation changed with modular dual mobility. The objective of this study was to evaluate, through analythical simulation, how jumping distance and center of rotation change between dual mobility and standard cup with modular dual mobility or fixed bearings. Methods. 3D-models of dual mobility and standard press-fit cups with modular dual mobility or fixed bearings liners were used to simulate dual mobility, modular dual mobility and fixed bearings implant configurations, matched for same cup size, according to same cup position, different femoral head diameters. Jumping distance was calculated and center of rotation lateralization was measured for different sizes.Results. Jumping distance with modular dual mobility was reduced by -3.9mm to -8.6mm in comparison with dual mobility, from 48 to 64mm sizes. Jumping distance with modular dual mobility resulted comparable to jumping distance with polyethylene fixed bearings with Ø36mm femoral head but increased by +1.1mm and +1.4mm than jumping distance with ceramic fixed bearings with Ø36 and Ø40mm femoral heads for sizes >54mm. Modular dual mobility lateralized the center of rotation up to +2.5mm and +4.0mm in comparison with dual mobility and fixed bearings, respectively. Conclusions. Jumping distance with modular dual mobility resulted lower than dual mobility and comparable to fixed bearings polyethylene liner with Ø36mm femoral head for larger sizes. Modular dual mobility lateralized the center of rotation in comparison with both dual mobility and fixed bearings cups.
Hypoxia Induced HMMR Promotes the NSCLC Progression
Authors: can Duan Lin , lin Jiang Xiu , Lin Tan , xiao Yuan Yi , Juan Wang , qian Liu Qian , lan Zou Xiao 
Published: September 2021

Abstract
Background: Hyaluronan mediated motility receptor (also known as RHAMM) is another one of few defined hyaluronan receptors, play pivotal roles in cell growth. However, the functionof HMMR in lung adenocarcinoma remain unclear.Methods: HMMR expression was analyzed emoloyed the public databases, the prognosis of HMMR was analysis by prognoscan, KMplot and GEPIA databases. The GO and KEGG pathway was analysis by the DAVID and GSEA software. The correlation between the HMMR expression was analysis by the TIMER databases, the gene and protein networks was analysis by Genemania and STRING databases, the DNA methylation was analysis by the MethSurv and UALCAN databases. The expression of HMMR was analysis by IHC and qPCR, the function of HMMR on cell proliferation and migration was examine by the cell growth curve, clone information, transwell and wound healing assay.Results: in this study, we find that HMMR was elevated in LUAD and it’s highly expression associated with the poor prognosis and lymph node metastasis. Furthermore, the expression of HMMR was induced by hypoxia in LUAD. HMMR expression level not only positively correlation with the different immune cells, but also positively correlation with the expression of immune checkpoints related gene. Finally, depletion of HMMR significantly represses the cell growth and migration of NSCLC. We also found that the HOXB7/TMPO-AS1/Let-7b-5p axis mediated high expression of HMMR in NSCLC, depletion of TMPO-AS1 and over-expression the Let-7b-5p would result in decreased the expression of HMMR in NSCLC cells, the TMPO-AS1 was positively with the HMMR and negatively related to the Let-7b-5p in NSCLC. Overall, this study emphasized the significance of HOXB7/TMPO-AS1/Let-7b-5p axis mediated high expression of HMMR in cancer progression and Immune infiltration of LUAD.Conclusions: we demonstrated HMMR was elevated in LUAD and positively relation to poor prognosis. We find the hypoxia microenvironment and DNA hypomethylation able to up-regulation of the HMMR expression. Additionally, HMMR expression was positive with the diverse immune cell and immune regulator related gene in LUAD. Finally, we found that depletion of HMMR was inhibits the cell proliferation and migration ability of NSCLC cells. These findings suggest that HMMR could be served as a biomarker for prognosis and immune infiltration in LUAD.
A Novel Sub-pixel Refinement Method for Fillet Weld Under Structured Light Vision
Authors: Chen Shengfeng , Chen Bing , Liu Jian 
Published: September 2021

Abstract
Intelligent welding robots based on structured light vision are widely used in industrial production. With the demands of low cost, miniaturization and flexibility, the development of embedded structured light vision systems for seam tracking is a general trend. The core is how to efficiently and precisely position weld seam with low-configuration hardware. Sub-pixel refinement can break through the limitation of physical resolution, while also reducing hardware cost to achieve the required accuracy. To fill the gap in the sub-pixel refinement for fillet weld joint, a novel sub-pixel refinement method for fillet weld joint under structured light vision is proposed, which can sub-pixel refine the fillet weld joint under various working conditions. The main novelties of the proposed method include: (1) a novel sub-pixel refinement method for fillet weld joint by using Mean Shift, weighted least square and directional maximum projection is proposed, which is robust, universal, and accurate. (2) A directional maximum projection algorithm for refining weld is proposed for the first time. (3) The method can accurately refine fillet weld joint with low-resolution image. The proposed method is robust, universal, and accurate, and as demonstrated by the following performances: the average and maximum bias are 0.73 and 3 pixels in the accurate test, positioning accuracy rate is 100% in the test of noise-free, rusty, highly reflective and arc radiation-and-spatter working conditions. the method can be expanded to a common sub-pixel refinement method for structured light intersections through simple transformation.
Rapid, Label-free Pathogen Identification System for Multidrug-Resistant Bacterial Wound Infection Detection on Military Members in the Battlefield
Authors: Chen Y. , Chau J. , Yoon J. , Hladky J. 
Published: September 2021

Abstract
US military service members experiencing combat-related wounds have higher risk of infection by multidrug-resistant bacteria. The gold standard culture-based antimicrobial susceptibility testing (AST) is not feasible in the battlefield environment. Thus, a rapid deployable system for bacteria identification and AST directly from wound sample is urgently needed. We report a Rapid, Label-free Pathogen Identification (RAPID) diagnostic system based on ATR-FTIR method to detect and distinguish multi-drug resistant strains for six different species in the ESKAPEE group. Our RAPID system combines on-broad sample processing to isolate and enrich bacteria cells from wound sample, ATR-FTIR measurement to detect antimicrobial-induced bacterial cell spectral changes, and machine learning model for automated, objective, and quantitative spectral analysis and unknown sample classification. Based on experimental results, our RAPID system is a promising technology for label-free, sensitive (104 cfu/mL from mixture), species-specific (> 95% accuracy), rapid (< 10 min for identification, ~ 4 hours for AST) bacteria detection directly from wound samples.
Optical Magnetic Multimodality Imaging of Plectin-1-Targeted Imaging Agent for the Precise Detection of Orthotopic Pancreatic Adenocarcinoma
Authors: Zhang Wenjia , Liang Xiaolong , Zhu Liang , Zhang Xinyu , Jin Zhengyu , Du Yang , Tian Jie , Xue Huadan 
Published: September 2021

Abstract
PurposePancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy worldwide. However, its early and precise detection is challenging currently. The novel magnetic particle imaging (MPI) is suitable for imaging tumours in deep organs because of its unlimited imaging depth, lack of background noise, and positive imaging signals. The purpose of this study was to utilize the MPI, in combination with fluorescence molecular imaging (FMI) and magnetic resonance imaging (MRI), to advance the precise detection of orthotopic PDAC xenografts in vivo.MethodsThe PDAC targeted Plectin-1 peptide and IRDye800CW was conjugated to the superparamagnetic iron oxide nanoparticles (SPIONs) (PTP-Fe3O4-IRDye800CW) for the PDAC targeted triple-modality imaging. Subcutaneous and orthotopic PDAC mouse models were established. FMI, MPI, and MRI were carried out for the dynamic and quantitative observation of PDAC tumours. Histological and immunohistochemical analyses were used as references for ex vivo validation.ResultsThe probe showed good FMI, MPI, and MRI imaging performance in vitro. In in vivo subcutaneous and orthotopic PDAC xenograft models, the PTP-Fe3O4-IRDye800CW nanoparticles showed better PDAC targeted imaging with high specificity, uniform distribution, and longer retention effects for over 7 days compared with Con-Fe3O4-IRDye800CW nanoparticles. ConclusionIntegration the imaging strengths of MPI, in combination with FMI and MRI could allow more precise detection of PDAC with high sensitivity and resolution. This may allow better diagnosis at molecular and cellular levels, potentially benefiting PDAC patients by providing early and sensitive detection. Moreover, this novel imaging methods may also provide guidance for the intraoperative detection and hyperthermia therapy for PDAC.
Deep Reinforcement Learning with Importance Sampling for QoE Enhancement in Edge-Driven Video Delivery Services
Authors: Naresh Mandan , Das Vikramjeet , Gupta Manik , Saxena Paresh 
Published: September 2021

Abstract
Adaptive bitrate (ABR) algorithms are used to adapt the video bitrate based on the network conditions to improve the overall video quality of experience (QoE). Further, with the rise of multi-access edge computing (MEC), a higher QoE can be guaranteed for video services by performing computations over the edge servers rather than the cloud servers. Recently, reinforcement learning (RL) and asynchronous advantage actor-critic (A3C) methods have been used to improve adaptive bit rate algorithms and they have been shown to enhance the overall QoE as compared to fixed-rule ABR algorithms. However, a common issue in the A3C methods is the lag between behavior policy and target policy. As a result, the behavior and the target policies are no longer synchronized with one another which results in suboptimal updates. In this work, we present the deep reinforcement learning with an importance sampling based approach focused on edge-driven video delivery services to achieve an overall better user experience. We refer to our proposed approach as ALISA: Actor-Learner Architecture with Importance Sampling for efficient learning in ABR algorithms. ALISA incorporates importance sampling weights to give higher weightage to relevant experience to address the lag issues incurred in the existing A3C methods. We present the design and implementation of ALISA, and compare its performance to state-of-the-art video rate adaptation algorithms including vanilla A3C and other fixed-rule schedulers. Our results show that ALISA provides up to 25%-48% higher average QoE than vanilla A3C, whereas the gains are even higher when compared to fixed-rule schedulers.
Cognitive Performance, Physical Pain and Psychological Distress in Women with Fibromyalgia During The COVID-19 Pandemic in Chile: A Case-Control Study
Authors: Ramos-Henderson Miguel , Toro-Roa Ignacio , Aguilera-Choppelo Rocío , Palominos Diego , Soto-Añari Marcio , Lopez Norman , Domic-Siede Marcos 
Published: September 2021

Abstract
Fibromyalgia (FMS) is a chronic condition that encompasses widespread pain associated with cognitive impairment and significant emotional distress related to functional disability that affects mainly women. However, the mechanisms underlying the origin of the cognitive impairments and how the current COVID-19 pandemic impacts remain elusive. This study aimed to determine whether there is an association between cognitive performance in executive functions, physical pain, and psychological distress caused by the pandemic in a group of Chilean women with FMS using a novel online protocol of neuropsychological evaluation. We found that women with FMS present cognitive impairment predominantly explained by pain and anxiety symptoms, which are associated with the difficulties experienced from the COVID-19 pandemic. These results point out the importance of considering a broader perspective for treatment, including anxiety symptoms and the psychological distress caused by the pandemic as a therapeutic target for cognitive impairments.
Can Povidone-Iodine (Betadine) Act On The Survival Rate and Gill Tissue Structure of Oranda Goldfish (Carassius Auratus)?
Authors: Yalsuyi Ahmad Mohamadi , Vajargah Mohammad Forouhar , Hajimoralo Abdolmajid , Galangas Mohsen Mohammadi , Prokic Marko , Faggio Caterina 
Published: September 2021

Abstract
Industrial chemical solutions are widely used as a method to disinfection of aquaculture water and environments. The aim of the present study was to evaluate the toxicity effect of povidone-iodine (betadine) as a disinfectant solution on the survival and gill tissue of Oranda goldfish (Carassius auratus). For these purposes, 225 fingerling Oranda goldfish with an average weight 5 ± 0.67 were divided into 15 groups with 3 replication. Fish were exposed to series of concentrations (0, 10, 20, 40, 60, 80, 90, 100, 120, 140, 160, 180, 200, 220 and 240 ppm) of Betadine for 96h. The mortality of fish and the samples of gill were observed at 6, 12, 18, 24, 48, 72 and 96h after exposure. The results of the present study showed that the half-life Betadine was less than 24h and mortality were not record after 24h. The highest mortality rate were at 240 ppm, and LC50 24h of Betadine was 158.800 ppm. Histopathological results showed that lethal concentrations of Betadine lead to hyperemia, hypertrophy, hyperplasia and adhesion of secondary lamellar of the gill. Moreover, fish that were exposed to these concentrations displayed clinical signs such as anxiety, darkening of the skin. Overall results showed that betadine had short half-life in the aquatic environment and are toxic to fish at very high concentrations therefore it can be considered as practically non-toxic and be useful for disinfection of the aquatic environment.
Machine Learning-Based Prediction of Invisible Intraprostatic Prostate Cancer Lesions on 68Ga-PSMA-11 PET/CT in Patients with Primary Prostate Cancer
Authors: Yi Zhilong , Hu Siqi , Lin Xiaofeng , Zou Qiong , Zou MinHong , Zhang Zhanlei , Xu Lei , Jiang Ningyi , Zhang Yong 
Published: September 2021

Abstract
Purpose 68Ga-PSMA PET/CT has high specificity and sensitivity for the detection of both intraprostatic tumor focal lesions and metastasis. However, approximately 10% of primary prostate cancer are invisible on PSMA-PET (exhibit no or minimal uptake). In this work, we investigated whether machine learning-based radiomics models derived from PSMA-PET images could predict invisible intraprostatic lesions on 68Ga-PSMA-11 PET in patients with primary prostate cancer.Methods In this retrospective study, patients with or without prostate cancer who underwent 68Ga-PSMA PET/CT and presented negative on PSMA-PET image at either of two different institutions were included: institution 1 (between 2017 to 2020) for the training set and institution 2 (between 2019 to 2020) for the external test set. Three random forest (RF) models were built using selected features extract from standard PET images, delayed PET images, and both standard and delayed PET images. Then, subsequent 10-fold cross-validation was performed. In the test phase, the three RF models and PSA density (PSAD, cut-off value: 0.15ng/ml/ml) were tested with the external test set. The area under the receiver operating characteristic curve (AUC) was calculated for the models and PSAD. The AUCs of the radiomics model and PSAD were compared.Results A total of 64 patients (39 with prostate cancer and 25 with benign prostate disease) were in the training set, and 36 (21 with prostate cancer and 15 with benign prostate disease) were in the test set. The average AUCs of the three RF models from 10-fold cross-validation were 0.87 (95% CI: 0.72, 1.00), 0.86 (95% CI: 0.63, 1.00) and 0.91 (95% CI: 0.69, 1.00), respectively. In the test set, the AUCs of the three trained RF models and PSAD were 0.903 (95% CI: 0.830, 0.975), 0.856 (95% CI: 0.748, 0.964), 0.925 (95% CI:0.838, 1.00), and 0.662 (95% CI: 0.510, 0.813). The AUCs of the three radiomics models were higher than that of PSAD (0.903, 0.856 and 0.925 vs 0.662, respectively; P = .007, P = .045 and P = .005, respectively).Conclusion Random forest models developed by 68Ga-PSMA-11 PET-based radiomics features were proven useful for accurate prediction of invisible intraprostatic lesion on 68Ga-PSMA-11 PET in patients with primary prostate cancer and showed better diagnostic performance compared with PSAD.
Acute HIV infection syndrome mimicking COVID-19 vaccination side effects : A case report
Authors: Triebelhorn Julian , Haschka Stefanie Julia , Hesse Felix Andreas , Erber Johanna , Weidlich Simon , Lee Marcel , Hoffmann Dieter , Eberle Josef , Spinner Christoph 
Published: September 2021

Abstract
BackgroundSymptoms of primary HIV infection, including fever, rash, and headache, are nonspecific and are often described as flu-like. COVID-19 vaccination side effects, such as fever, which occur in up to 10% of people following COVID-19 vaccination, can make the diagnosis of acute HIV infection even more challenging.Case PresentationA 26-year-old man presented with fever and headache following COVID-19 vaccination. The symptoms were initially thought to be vaccine side effects. A diagnostic workup was conducted due to persisting fever and headache > 72 hours following vaccination, and he was diagnosed with Fiebig stage II acute HIV infection, 3 weeks after having unprotected anal intercourse with another man.ConclusionThorough anamnesis is key to estimating the individual risk of primary HIV infection, in patients presenting with flu-like symptoms. Early diagnosis and initiation of antiretroviral therapy is associated with better prognosis and limits transmission of the disease.
Research on Ultrasonic Vibration Assisted Electrical Discharge Machining SiCp/Al Composite
Authors: Gao Xiang , Li Jucai , Xing Qixuan , Zhang Qinhe 
Published: September 2021

Abstract
In this paper, ultrasonic-vibration assisted electrical discharge machining (UEDM) is used to process SiCp/Al composite materials in order to achieve a higher material removal rate (MRR) and lower surface roughness, width overcut, and relative tool wear rate (RTWR). FLUENT software was used to simulate the gap flow field. The simulation results of the gap flow field show that the ultrasonic vibration of the tool electrode is conducive to the removal of chips, which makes the discharge more stable and improves the machining efficiency. Based on the single factor experiment, the effects of peak current, reference voltage, pulse width, and pulse interval on MRR, surface roughness, width overcut, and RTWR of the workpiece are studied. Then, based on the orthogonal experiment, the grey relational analysis method was used to optimize the process parameters, and the order of the influence of the 4 process indicators on the comprehensive performance and the optimal processing parameter combination was obtained. The reliability of the process optimization was verified with experiments.
Impact of Psychosocial Distress on the Quality of Life of Cancer Patients in Two Health Facilities in Cameroon
Authors: Ebob-Anya Bachi-Ayukokang , Bassah Nahyeni 
Published: September 2021

Abstract
Background: Psychosocial distress interferes with the ability to cope effectively with cancer, its physical symptoms and treatment. This in turn leads to poor outcomes in patients. Objective: The aim of this study was to investigate the impact of psychosocial distress on the quality of life of cancer patients in two health facilities in Cameroon. Methods: This study used a cross-sectional hospital-based design. The study was carried out over a period of three months from July-September 2020. The sample size was 120 cancer patients. A purposive sampling technique was used to recruit participants. Three validated questionnaires were used: DT, HADS and EORTC QLQ-C30 to assess, psychosocial distress, emotional distress and quality of life respectively. Results were presented using descriptive (frequency, percentage, mean) and inferential statistics (Pearson’s correlation, ANOVA). Data were analysed with SPSS version 21. All statistics were considered significant at an alpha value set at 0.05 level. Results: Majority of the patients 83 (69.2%) presented with clinically significant distress, with financial difficulties 87 (72.5%), fatigue 83 (69.2%), transportation 73 (60.8%) and difficulties with work/school 69(57.5%) being the most reported problems. Fifty nine (50.0%) and 56(47.5%) had moderate to severe anxiety and depression symptoms respectively. Overall on HADS, 67 patients (56.8%) presented with emotional distress. The quality of life was fair, with a mean of 52.4±21.3. There was a strong statistically significant relationship between psychosocial distress and the quality of life (P<0.0001), wherein psychosocial distress was found to have a negative impact on the quality of life of patients.Conclusion: Cancer patients do suffer from psychosocial distress which has a negative impact on their quality of life. This is thus a call for concern to health personnel in this setting. The psychosocial domain of cancer patients needs to be assessed for early identification of persons at risk, to better improve the quality of care which they receive and hence their quality of life.
A Comparative Analysis of Power Consumption in Conventional and Differential – Less Drive for Electric Vehicle
Authors: Dhulekar Abhijeet , Ardak Pankaj 
Published: September 2021

Abstract
The general design of the methodology of the transmission system is usually used to give efficient power to the driven wheel, such as usually used differential to differentiate speed and motion of the wheel. In this paper; we analyze methods of motion control and power transmission variation for an electric vehicle (EV) with two independently driven in-wheel motors and conventional differential used EV. Compares the power transmission ratio of two different configurations drives energy conversion differential and epicyclic gears train analysis. This investigation gives an orderly examination of compendium an electrical vehicle is driven by transmissions system journals published and about different losses through mechanical differential system transmission and how they affect on torque. These studies present a comprehensive convergent study report of power Variation and torque transmission with simulation result distinction in differential and differential-less EV’s by compendium studies and show some comparative results. After a compendium study author finds few losses in differentials such as Pocketing power losses, WPL, drag mishap, friction, and different slip in gears. We have mention different factors also affect drive trains and illustrate the main reason to generate losses during transmission. In addition, we have explained this through simulation.