bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Electrochemical Machining of Involute Internal Spline of Cr-Co-Mo-Ni High Hardness Gear Steel
Authors: Huang Jingshan , Yao Bin , Wang Xi , Shen Lei , Jin Lin 
Published: January 2023

Abstract
Cr-Co-Mo-Ni high-hardness steel is widely used in critical mechanical transmission components. It has the difficult-to-cut characteristic because of its high hardness and high strength. In the cutting process, the machining cutting force is large, the tool is worn quickly, and the machining accuracy is poorly maintained. In view of the machining problems, this paper carried out a research on the electrochemical machining process of internal spline of high hardness gear steel. Firstly, a two-dimensional geometric model of electrochemical machining electric field simulation is established based on the structural characteristics of the internal spline electrochemical machining fixture. The electric field simulation analysis of internal spline electrochemical machining is carried out based on numerical analysis method. The influence law of electrolyte conductivity, processing voltage and cathode feed speed on electrochemical machining forming is studied. Meanwhile, a three-dimensional model of Electrochemical machining flow field simulation is established, and the flow field simulation analysis of internal spline Electrochemical machining is carried out. The influence law of electrolyte flow direction and electrolyte back pressure on the flow field distribution is explored. The platform of electrochemical machining system is set up. An experimental study on electrochemical machining of involute internal splines is carried out to further optimize the electrochemical machining process parameters. The test results showed that the electrolysis accuracy and efficiency of the 41-tooth involute spline workpiece are optimized when the electrolyte is 8% NaNO3, the back pressure of the electrolyte is 0.2 MPa, the feed speed is 1.8 mm/min, and the processing voltage is 16.0 V. The efficiency and accuracy of this proposed method can meet the actual processing needs. It has important application value for advanced machining technology of high-performance materials.
A New Prediction Data Model of High-Risk COVID-19 Patients with Smart Notification (HRCP-SN) Using a Hybridized Algorithm
Authors: Yenurkar Ganesh , Mal Sandip 
Published: January 2023

Abstract
A web application designed to predict high-risk patients affected by COVID-19 runs a machine learning model at the backend to generate results. The random forest classification technique is used to predict the high-risk status of patients who are COVID-19 positive and are at the initial stage of infection. We used hybridized algorithms to predict high-risk patients, and the model used the patients’ current underlying health conditions, such as age, sex, diabetes, asthma, hypertension, smoking, and other factors. After data preprocessing and training, the model could predict the severity of the patient with an accuracy of 65-70%. According to some studies, random forest ML models outperform other ML models for solving the challenge of predicting unusual events, such as in this case. Pneumonia, hypertension, diabetes, obesity, and chronic renal disease were the most contributory variables for model implementation. This project will help patients and hospital staff make necessary decisions and actions in advance. This will help healthcare workers arrange resources and hospital areas for high-risk COVID-19 patients. Thus, this study provides an effective and optimized treatment. Using this application and suitable patient data, hospitals can predict whether a patient will require urgent care.
Effective Prediction Finite Element Model of Pull-out Capacity for Cast-in-place Anchor in High Strain Rate Effects
Authors: Bao Quoc To , Lee Kihak , An Hyoseo , Lee Dohyung , Shin Jiuk 
Published: January 2023

Abstract
Cast-in-place anchors are being increasingly used in many applications including building construction, bridge, and power plants. The anchorage to concrete systems are subjected to tensile, shear and combined loads from a variety of loading circumstances including static, dynamic, and shock loading. Despite extensive studies on these systems, reliable numerical models for predicting the behavior of these anchors are still limited. Therefore, this paper investigated the tensile behaviour of cast-in-place anchorage to concrete systems, to propose an effective model for reproducing anchorage behavior using finite element (FE) methods. Experiments and code-based models for the anchorage system in tension were used to evaluate the numerical models for cast-in-place anchors in concrete, and the most suitable model, with advantages in accuracy and saving analysis time, was chosen. Finally, the FE model was used to study the tensile capacity and related dynamic increase factor (DIF) for various strain rates, anchor diameters, and embedment depths.
Real-time Humanoid Robot Dance System Based on Music Genre Classification
Authors: Lu Swan , Huang Han-Pang , Zhan Ze-Feng 
Published: January 2023

Abstract
Nowadays, people's pursuit of artificial intelligence is not limited to the scope of convenience or intelligence. The entertainment use of robots is gradually being considered and used, and the dance of humanoid robots is one of people's pursuit of robots imitating humans and the entertainment of robots. This research uses a real-time beat tracker and a unique humanoid robot dance step designer to design a real-time humanoid robot dance system. Via Ratio was proposed for robot dance, with a real-time beat tracker and music speed estimator. For music, neural networks were used for music genre classification and the GTZAN music dataset was used for the training. In the design of movements, corresponding dance movements will also be designed according to different styles. Some dance motions were designed and make our humanoid robot NINO, which was developed by our lab, success to dance with the beat of the music. Also, the robot can identify the genre and choose the motion corresponding to the music to dance. The experiments for the proposed system and functions were carried out on a life-sized humanoid robot NINO. The results showed that this system can successfully make the robot dance to music and correctly identify the music genre. The main contribution of this research is a dance system designed for a life-sized humanoid robot. Also, some music elements such as genre and rhythm were combined into the dance system. The robot can dance to the beat with Via Ratio and beat tracker. The music genre classification system was designed to achieve the purpose of robot dance being gorgeous, artistic, and not rigid.
Early Outcome of Pediatric Heart Catheterization Procedure for Ventricular Septal Defect, 5 Years Experience in Cardiac Remote Hospital
Authors: Rahayuningsih Tri Yanti , Ardiansyah Rizky , Effendy Zulham , Kurniawan Hendra , Azmi Azmi 
Published: January 2023

Abstract
Background: Cardiac interventions in the child with VSD was required due to the condition followed by the clinical sign of heart failure. Data report about the early outcome, complications, and problems related defect type, size, and conditions that affect the outcome of catheterization of VSD are still limited in Indonesia.
Methods: Retrospective study of child patients with VSD who underwent transcatheter procedures at dr.Chasbullah Abdul Majid General Hospital, Bekasi, from September 2017 to May 2022. Inclusion was VSD patients with weight above 5 kg and had a ratio left to right shunt >1.5:1. Exclusion were multiple congenital anomalies and incomplete data records. Early outcomes after catheterization and problem-related subjects who need to be referred for surgery were analyzed.
Results: From 104 patients, the most common type of VSD was perimembranous 85% followed by doubly committed sub-arterial 12.5% and multiple VSD 1.9%. After the transcatheter procedure, 76% had complete closure, 1.9% had small residual, and 15.4% did not undergo transcatheter closure and had to be referred for surgical closure. Most of the patients with complete closure had smaller VSD sizes with mean of 3.66 (1.17)mm, and small residual defects had mean VSD size of 3.5 (0.70)mm, while patients who had device migration and failed to close VSD were then referred for surgical closure presenting larger VSD size 5.2 (4.46)mm and patients who were indeed referred for surgical correction showed the highest mean of the defect 7.73 (3.80)mm.
Conclusions: Complete closure VSD transcatheter was excellent. The patient had to undergo surgery due to having a larger defect, aortic regurgitation, and multiple VSD.
Sample size determination for point-of-care COVID-19 diagnostic tests: A Bayesian approach
Authors: Williamson Sarah Faye , Williams Cameron J. , Lendrem B. Clare , Wilson Kevin J. 
Published: January 2023

Abstract
Background: In a pandemic setting, it is critical to evaluate and deploy accurate diagnostic tests rapidly. This relies heavily on the sample size chosen to assess the test accuracy (e.g. sensitivity and specificity) during the diagnostic accuracy study. Too small a sample size will lead to imprecise estimates of the accuracy measures, whereas too large a sample size may delay the development process unnecessarily. This study presents a novel Bayesian method to guide sample size determination for diagnostic accuracy studies, with application to COVID-19 rapid viral detection tests. Specifically, we investigate whether utilising existing information (e.g. from preceding laboratory studies) within a Bayesian framework can reduce the required sample size, whilst maintaining test accuracy to the desired precision.
Methods: The method presented is based on the Bayesian concept of assurance which, in this context, represents the unconditional probability that a diagnostic accuracy study yields sensitivity and/or specificity intervals with the desired precision. We conduct a simulation study to evaluate the performance of this approach in a variety of COVID-19 settings, and compare it to commonly used power-based methods. An accompanying interactive web application is available, which can be used by researchers to perform the sample size calculations.
Results: Results show that the Bayesian assurance method can reduce the required sample size for COVID-19 diagnostic accuracy studies, compared to standard methods, by making better use of laboratory data, without loss of performance. Increasing the size of the laboratory study can further reduce the required sample size in the diagnostic accuracy study.
Conclusions: The method considered in this paper is an important advancement for increasing the efficiency of the evidence development pathway. It has highlighted that the trade-off between lab study sample size and diagnostic accuracy study sample size should be carefully considered, since establishing an adequate lab sample size can bring longer-term gains. Although emphasis is on its use in the COVID-19 pandemic setting, it can be usefully applied in other clinical areas.
The prognostic significance of genes involved in glycolysis, immunity, and epithelial-to-mesenchymal transition in glioblastoma
Authors: Meng Yiming , Sun Jing , Zhang Guirong , Yu Tao , Piao Haozhe 
Published: January 2023

Abstract
Glioblastoma (GBM) is the most prevalent form of primary brain cancer. In the therapeutic therapy of GBM, there are still several ambiguities. GBM patients urgently need further research to find significant prognostic markers and more effective treatment choices. However, current stage-based clinical approaches still need to be improved for predicting survival and making decisions. This research intended to develop a new GBM risk assessment model based on glycolysis, immunology, and epithelial-mesenchymal transition (EMT) gene signatures. In this analysis, the cohort was constructed using TCGA-GBM data. Leveraging bioinformatics and machine algorithms, we developed a risk model based on glycolysis, immunological, and EMT gene signatures, which was then employed to classify patients into high and low-risk categories. Subsequently, we evaluated whether the risk score was associated with the immunological microenvironment, immunotherapy response, and numerous anticancer drug sensitivity. The unique risk model based on glycolysis, immunological, and EMT gene signatures could assist in predicting clinical prognosis and directing therapy decisions for GBM patients.
Dynamics of a fractional three-species food chain system with mixed functional responses and fear effect
Authors: Wang Yangling , Cao Jinde , Huang Chengdai 
Published: January 2023

Abstract
In this paper, a novel fractional three-species food chain system with Ivlev-type and ratio-dependent functional responses is proposed. Also the fear effect of the middle predator on the prey is taken into account. First the boundedness of the solutions and the existence of positive equilibrium point are investigated for the non-delayed system, and then the delay-induced Hopf bifurcation is dealt with for the delayed system via feedback control method. Some sufficient Hopf bifurcation conditions are obtained based on Hopf bifurcation theorem and stability theorem for fractional dynamical systems. A simulation example is given to support our theoretical results, and especially the effect of the feedback gains and the level of fear on the stability and bifurcation behavior are discussed by illustrations.
Prior Fronto-Orbital Advancement Associated with Complications from Transcranial Midface Surgery in Patients with Syndromic Craniosynostosis
Authors: Wagner Connor S , Pontell Matthew E , Hitchner Michaela K , Barrero Carlos E , Salinero Lauren K , Swanson Jordan W , Bartlett Scott P , Taylor Jesse A 
Published: January 2023

Abstract
Purpose
Our center adopted posterior vault distraction osteogenesis (PVDO) as a first-line intervention for cranial expansion in syndromic craniosynostosis in 2008, and we have a growing cohort of patients undergoing transcranial midface advancement who have not had prior fronto-orbital advancement (FOA). The purpose of this study was to evaluate whether a history of FOA influences the risk profile of transcranial midface advancement in patients with syndromic craniosynostosis.
Methods
Patients undergoing transcranial fronto-facial advancement from 2000-2022 were retrospectively divided into cohorts based on preceding history of fronto-orbital advancement (FOA- and FOA+). Perioperative outcomes including operative time, length of stay, intraoperative dural injury, and complications (Clavien-Dindo score) were compared between groups with appropriate statistics.
Results
Thirty-eight patients were included (15 in FOA- group and 23 in FOA+ group). The overall complication rate was 47% (10% minor, 37% major). Compared to the FOA- group, the FOA+ group had a higher incidence of dural tears (65% v 20%, p = 0.006) and major complications (48% v 13%, p = 0.028). These findings were recapitulated in multivariate logistic regression controlling for other predictors.
Conclusions
Prior FOA is associated with increased rates of major complications and dural tears in patients with syndromic craniosynostosis undergoing fronto-facial surgery. Options for cranial vault expansion that avoid the frontal region, such as PVDO, may favorably alter the risk profile of fronto-facial advancement.
Stability and repeatability of diffusion-weighted imaging (DWI) of normal pancreas on 5.0 Tesla magnetic resonance imaging (MRI)
Authors: Jiang Zhiyong , Sun Wenbo , Xu Dan , Yu Hao , Mei Hao , Song Xiaopeng , Xu Haibo 
Published: January 2023

Abstract
To explore the stability and repeatability of diffusion-weighted imaging (DWI) of normal pancreas with different field of views (FOV) on 5.0 T magnetic resonance imaging (MRI) system. Twenty healthy subjects underwent two sessions of large FOV (lFOV) and one session of reduced FOV (rFOV) DWI sequence scanning. Two radiologists measured the apparent diffusion coefficient (ADC) values and the signal-to-noise ratio (SNR) of the pancreatic head, body, and tail on DWI images, simultaneously, using a 5-point scale, evaluate the artifacts and image quality. One radiologist re-measured the ADC on DWI images again after a 4-week interval. Intra-observer and inter-observer at lFOV and rFOV, the ADC values were not significantly different (P >0.5), intraclass correlation coefficients (ICCs) and coefficient of variations were excellence (ICCs 0.85-0.99, CVs <8.0%). The ADC values were lower with rFOV than lFOV DWI for the head, body, tail, and overall pancreas. The high stability and repeatability of pancreas DWI has been confirmed at 5.0 T. Scan durations are reduced while resolution and image quality are improved with rFOV DWI, which is more preferable than lFOV for routine pancreas imaging.
Depression in brain tumor patients – Early Detection and Screening
Authors: Finze Alida , Deleanu Laura , Weiss Christel , Ratliff Miriam , Seiz-Rosenhagen Marcel 
Published: January 2023

Abstract
Background: Depression is reported in up to 90% of cancer patients but to this date a standardized screening tool for depression specifically modified for patients diagnosed with brain tumors is lacking. Thus, this study aims to develop an adapted screening tool and identify a suitable time slot for screening.
Methods: 61 Patients with brain lesions were interviewed prior to neurosurgical resection. For screening purposes, established depression scores were used. A study-specific questionnaire (SSQ) was developed based on patient interviews prior to the trial. Two subgroups were analyzed: patients with benign and patients with malignant tumors (including brain metastases). As a subgroup within malignant lesions, patients with glioblastoma (GBM) were also analyzed separately.
Results: 87.5% of patients with GBM presented with results suggestive for depression on the Center for Epidemiologic Studies Depression Scale (CES-D) 21 days after surgery. A decline in patients with benign brain tumors (p = 0.0058) and an increase in patients with malignant tumors (p = 0.0491) could be shown over time for CES-D scores. In this study, we established a new screening tool for depression. In patients diagnosed with GBM the number of patients needed to screen for identification of symptoms of depression was 1.59.
Conclusions: Considering the high prevalence of depression in patients diagnosed with GBM, we strongly encourage their routine screening during follow-up appointments. We consider our adjusted SSQ screening tool as a suitable and simple screening questionnaire, being less time consuming than preexisting methods as well as adapted to this specific patient group.
Specific detection of Escherichia coli using a phage-assisted ß-galactosidase assay
Authors: Hosseini Anahita , Mas Jordi 
Published: January 2023

Abstract
Fast and reliable detection of microbial contaminants in food, water and environmental samples is critical for an efficient public health management. Most available methods provide good results although many of them have a number of drawbacks ranging from low sensitivity to the need of sophisticated equipment, the use of expensive reagents or the participation of highly skilled personnel. This work describes an easy to implement method for the detection of E. coli in liquid samples using a robust non-specific ß-galactosidase assay made highly selective through the use of a specific T4 lytic phage as a permeabilization reagent. The assay is performed in 96 well plates using MUG (4-methylumberlliferyl-ß-D-galactopyranoside) as the enzyme substrate and has a total length of 90 minutes. The method is able to detect 75 cells of E. coli. Under the conditions of the assay this corresponds to a concentration of 1.49·103 cells·mL− 1 of sample. For the analysis of field samples, we produced an extended version of the assay that incorporates preconcentration and preincubation steps with a total running length of 7.5 hours. When tested with field samples and compared with Colilert-18 the method performed well, with a limit of detection of 96 cells·100 mL− 1.
A Generic Approach to Extract Object-Centric Event Data from Relational Databases
Authors: Berti Alessandro , Park Gyunam , Rafiei Majid , Aalst Wil van der 
Published: January 2023

Abstract
Process mining provides a collection of techniques to gain insights into business processes by analyzing event logs.Organizations can gain various insights into their business processes by using process mining techniques.Such techniques use event logs extracted from relational databases supporting the business process as input.However, extracting event logs is challenging due to the size of the data, and it remains ad-hoc. Existing commercial tools partly support the extraction of event logs, but they are proprietary and focus on the mainstream processes such as Purchase-To-Pay (P2P) and Order-To-Cash (O2C).Moreover, the extracted event logs suffer from well-known deficiency, convergence, and divergence issues.For example, due to convergence events are unintentionally duplicated causing unreliable or confusing performance diagnostics.In this paper, we propose an approach to extract event logs for generic business processes while avoiding the aforementioned issues.More in detail, we extract object-centric event logs from a relational database by using an abstraction layer of the database, called Graph of Relationships (GoRs), designing blueprints with domain knowledge, and converting the database and blueprint into object-centric event logs.We fully implemented the proposed approach, can extract object-centric event logs from SAP ERP systems, and evaluate the utility and scalability of the proposed approach.
Mid- to late Holocene sea-level rise recorded in Hells Bells 234U/238U ratio and geochemical composition
Authors: Schorndorf Nils , Frank Norbert , Ritter Simon M. , Warken Sophie F. , Scholz Christian , Keppler Frank , Scholz Denis , Weber Michael , Olguin Jeronimo Aviles , Stinnesbeck Wolfgang 
Published: January 2023

Abstract
Hells Bells are underwater secondary carbonates discovered in sinkholes (cenotes) southeast of Cancun on the north-eastern Yucatán peninsula, Mexico. These authigenic calcite precipitates, reaching a length of up to 4 m, most likely grow in the pelagic redoxcline. Here we report on detailed 230Th/U-dating and in-depth geochemical and stable isotope analyses of specimens from cenotes El Zapote, Maravilla and Tortugas. Hells Bells developed since at least ~ 8 thousand years ago, with active growth until present day. Initial (234U/238U) activity ratios (δ234U0) in Hells Bells calcite decreases from 55 to 15‰ as sea level converges toward its present state. The temporal evolution of the geochemistry and isotope composition of Hells Bells calcites thus appears to be closely linked to sea-level rise and reflects changing hydrological conditions (desalinization) of the aquifer. We suggest that decelerated leaching of excess 234U from the previously unsaturated bedrock traces Holocene relative sea-level rise. Considering this proxy the resulting mean sea-level reconstruction contains half as much scatter, i.e. improves by a factor of two, if compared to previously published work for the period between 8 and 4 ky BP.