bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Improved Thermal Performance Modeling for High-speed Spindle of Machine Tool Based on Thermal Contact Resistance Analysis
Authors: Fang Bing , Cheng Mengna , Gu Tianqi , Ye Dapeng 
Published: August 2021

Abstract
The distribution of the temperature field has a great influence on structural performance, thermal deformation, thermal error compensation. To improve the prediction accuracy of the temperature distribution of the spindle system, a comprehensive model considering the contact thermal resistance (TCR) of the interfaces was established to analyze the thermal performance of high-speed spindle system in the present work. An elastoplastic contact model was used to calculate the contacting areas and loads of interfaces, which were employed to establish the contact thermal resistance model of the main interfaces of spindle, such as bearing rings and tool holders. Basing on the TCR parameters, a Finite Element Analysis (FEA) model was proposed to analyze the temperature distribution of the spindle system. And a temperature test experiment was set up to verify the accuracy of the FEA model. The results show that the relative error of representative test points was all less than 5%, which means the established model can appropriately reflect the temperature field distribution of the spindle.
Changes in Ocular Surface Disease Evaluated after Nonpenetrating Deep Sclerectomy
Authors: Fuente-García Carlota , Muñoz-Negrete Francisco José , de Dompablo-Ventura Elisabet , Moreno-Montañés Javier , Rebolleda Gema 
Published: August 2021

Abstract
Objective: To analyse the ocular surface changes in eyes after the withdraw of anti-glaucomatous drugs when non-penetrating deep sclerectomy (NPDS) is performed.Methods: 31 patients (33 eyes) diagnosed of glaucoma that underwent NPDS, were included in this prospective study. Control group included 33 eyes of 33 age and sex-matched volunteers. Five variables were studied with Keratograph 5M (K5M): ocular hyperaemia (OH), non-invasive tear film break-up time (NI-BUT), lower tear meniscus height (LTMH) and meibography. LTMH was also measured using the anterior segment module of Spectralis Fourier-Domain Optical Coherence Tomography (FD-OCT). Also, an evaluation of corneal and conjunctival staining was performed.In addition, patients were asked to answer two questionnaires: Ocular Surface Disease Index (OSDI) and National Eye Institute Visual Functioning Questionnaire (NEI VFQ-25) before and 6-months after surgery.Results: Before NPDS, treated eyes, showed worse objective data than healthy controls (p ≤0.049). In this group, a significant improvement was observed in the questionnaires (p< 0.001), LTMH FD-OCT (p=0.037) and LTMH K5M (p=0.025), K5M OH (p=0.003), NI-BUT (=0.022) and conjunctival and corneal staining (p<0.001). No significant differences were observed between groups in FD-OCT and K5M LTMH, NI-BUT, corneal-conjunctival staining and in the most OH sector values at 6 months(p ≥0.62).Conclusion: A significant improvement in the ocular surface was observed 6 months after NPDS, suggesting that the withdrawn of the topical anti-glaucomatous treatment has a beneficial effect.
A Robotic System with Robust Remote Center Motion Constraint for Endometrial Regeneration Surgery
Authors: Li Jianhua , Wang Chongyang , Wang Zhenxing , Zheng Xiong , Wang Zhidong , Tan Jichun , Liu Hao 
Published: August 2021

Abstract
Surgical robots have been widely used in various surgeries in order to improve and facilitate the surgeries. However, there is no robot intended for endometrial regeneration surgery which is a new therapy to restore women’s fertility by using stem cells. Endometrial regeneration surgery requires processing endometrium and transplanting stem cells with the minimal trauma to uterus. In this paper, we introduce a surgical robotic system which consists of a dexterous hysteroscope, a supporting arm and additional novel instruments to facilitate the operations and decrease trauma to the uterus. To protect the cervix of the uterus, remote center of motion (RCM) constraint is required. First, the supporting arm and the hysteroscope are controlled separately in kinematics in order to ensure that the RCM constraint and the hysteroscope’s shape and posture are predictable. Then, a task decoupled method is used to improve the robustness of the RCM constraint. The experiments show that our method is more robust and achieves higher accuracy of RCM. Besides, the master slave control of robot with RCM constraint is also verified.
Prevalence and Predictors of Traditional, Complementary/Alternative Medicine use, and types of herbal remedies used for COVID-19 in the South West Region of Cameroon
Authors: Ayima Charlotte Wenzi , Njamen Nana Theophile , Nguedia Assob Jules Clement , Nsagha Dickson Shey 
Published: August 2021

Abstract
Background

Up to the 21st century, traditional, complementary and alternative medicine(TCAM) is still used despite the wide spread of orthodox medicine. The magnitude, predictors and types of herbal remedies used for COVID-19 are assessed to tailor evidence based policy and drug formulation against COVID-19.
Methods

A community based cross sectional study was conducted among 1100 respondents from nine (9) communities selected in three health districts from May to July 2020. Pretested structured questionnaire were used to collect data from selected households on the use of TCAM, predictors as well as on the herbal preparations used for COVID-19. Nineteen (19) traditional healers were also interviewed on the types of herbal preparations use on patients tested or suspected for COVID-19 and the signs and symptoms identified. P-value < 0.05 were considered to be statistically significant in multivariate logistic regression analysis. Atlas ti V 7.5 was used for types of herbal species reported.
Results

Of the 1100 participants sampled, 754 (68.5%) had used TCAM in the last 12 months, 95%CI: 66.3–71.5. A total of 24.4% [95%CI: 20.6–29.1] of the participants used herbal remedies for COVID-19. Allium sativum, Azadirachta indica, Zingiber officinale, Artemisia annua were most commonly used herb for COVID-19. Cough, catarrh and fever were the main symptoms of COVID-19. Herbalists 79.7% [95% CI: 77.3–82.1] and bone setters 14.9% [95% CI: 12.8–17.0] were mostly visited. Logistic regression analysis showed age > 41 years (95% CI: 1.09–4.91), being a farmer (95% CI: 1.99–5.34), income levels between 185–370 USD (95% CI: 1.33–4.55), participants who resided in a rural setting (95% CI: 1.04–3.98), being knowledgeable on TCAM (95% CI: 1.54–6.45) and having a positive attitude towards TCAM (95% CI: 1.94–6.45) were predictors for TCAM use.
Conclusion

TCAM is widely used even in the era of orthodox medicine, and many factors contribute to its use in the Southwest region of Cameroon which should be taken into consideration in healthcare interventions that are sensitive to TCAM. Herbal preparations used during the COVID-19 pandemic can serve as baseline for drug development through efficacy and toxicity tests.
Switched PI Control Based MRAS for Sensorless Control of PMSM Drives Using Fuzzy-Logic-Controller
Authors: Liu Zhao-hua , Nie Jie , Wei Hua-Liang , Wu Fa-Ming , Chen Lei , Zhang Zhu 
Published: August 2021

Abstract
With the use of sensorless control mechanical position sensors can be removed from the gearbox, so as to decrease the maintenance costs and enhance the system robustness. In this paper, switched PI control based model reference adaptive system (MRAS) observer using Fuzzy-Logic-Controller (FLC) is introduced for sensorless control of permanent magnet synchronous motor (PMSM) drives. The main work and innovation of this paper include: 1) An FLC is designed for speed and current control. The response performance of speed regulation and the accuracy of the command voltage are improved and the difficulty of manual adjustment of control parameters is avoided. In addition, the disturbance observer is established to compensate the nonlinear effect caused by voltage source inverter (VSI). Therefore, the robustness of PMSM vector control system is improved and the sensorless control precision is guaranteed. 2) A sensorless control strategy of a switched PI control based MRAS observer is proposed for stator resistance tracking, which can improve the accuracy of resistance estimation and improve the dynamic performance of sensorless control. 3) The experimental results are given to verify the availability of the proposed scheme.
A retrospective study evaluating the impact of scattering radiation from imaging procedures on oocyte quality during ovarian stimulation for fertility preservation in young breast cancer patients
Authors: Condorelli Margherita , Sens Maëlle , Goldrat Ornit , Delbaere Anne , Racapé Judith , Lambertini Matteo , Demeestere Isabelle 
Published: August 2021

Abstract
Purpose
Ovarian stimulation for oocyte and embryo cryopreservation is the standard of care for fertility preservation in young breast cancer patients before gonadotoxic chemotherapy. The procedure should be started as soon as possible to avoid delay of treatment; thus, it is often performed concomitantly with tumor staging assessments. However, questions remain regarding the potential negative impact on oocyte quality that may occur due to exposure to scattered ionizing radiation from imaging techniques when staging assessment is conducted at the same time as ovarian stimulation.
Methods
We conducted a retrospective study on all breast cancer patients who received ovarian stimulation for fertility preservation at our center between November, 2012 and May, 2020.
Results
Gynecologic and oncologic characteristics were similar between patients exposed (n = 14) or not (n = 60) to ionizing radiation. Exposed patients started the ovarian stimulation sooner after diagnosis than non-exposed patients (11.5 vs 28 days, respectively, P < 0.01). Cycle parameters, including the median number of oocytes collected (10.5 vs 7, P = 0.16), maturation rates (92.5% vs 85.7%, P = 0.54), and fertilization rates (62.2% vs 65.4%, P = 0.70) were similar between groups.
Conclusions
This study shows that scattered ionizing radiation due to staging assessment appears to be safe without compromising follicular growth and maturation. Larger studies on fertility and obstetrical outcomes are needed to confirm these preliminary data.
Investigation on the Storage Stability of Packaged Water Commonly Produced in Ilorin Metropolis, Kwara State, Nigeria
Authors: Okeola Fatai , Abu Taofiqat , MOHAMMED AMINAT ADERONKE , Orosun Michael , Obinaike Modupe , Mariam Adeboje 
Published: August 2021

Abstract
This study investigated the effects of storage conditions on the physicochemical parameter, microbial loads and health risks assessment of randomly 30 selected sachet and bottle water brands (A, B and C) in Ilorin Metropolis. Random sampling procedures were used to collect samples from three different brands and subjected to three different storage conditions; immediately (initial), mild sunlight and intense sunlight condition. The heavy metals (Cr, Pb and Fe) investigated in this study were above the permissible limits (WHO, SON). The presence of TBC, TCC, FCC and TFC in all the water samples analyzed showed no effective quality control system. Incremental lifetime cancer risk (ILCR) assessment revealed a carcinogenic health risk to the populace drinking this water. It can be deduced from this study that water stored under sunlight for a long period of time is not good for human consumption and therefore adequate monitoring by the appropriate agencies are emphasized.
Feature-based sequencing optimization method for minimizing non-cutting energy consumption for CNC machine tools
Authors: Feng Chunhua , Huang Yugui , Wu Yilong , Zhang Jingyang 
Published: August 2021

Abstract
There is variety scheme when a part with multiple features is processed in CNC machines, and hence, different feature sequencing during processing affects not only productivity but also energy consumption. This paper concentrates on the energy-saving strategy by optimizing the feature processing sequence in the part processing stage through reducing the energy consumption of the non-cutting process. The detailed energy model is established considering rapid feed and general feed path in the X, Y, Z+, Z- directions for analyzing the impact of processing feature sorting on reducing the energy consumption of parts processing. The feature sequencing optimization is carried out under the condition of fixed cutting parameters for specific machining features to better reveal the sequence influence on energy consumption and non-cutting time. Meanwhile, the energy consumption of the non-cutting of parts specifically includes the empty pass and an automatic tool change model, while the normal feed and the rapid feed are established in different moving axis, respectively. Based on the developed model, the genetic algorithm is used to solve the optimal processing sequence and the lowest processing energy consumption. Finally, a cutting orthogonal experiment is executed to collect energy consumption data, analyze the data and fit the data to establish a specific energy consumption model for each processing stage. A case study of a part with nine features is used to optimize sequencing, which shows the effectiveness and validity of the proposed method.
Quercetin relieves coronary atherosclerosis via regulating fibroblast growth factor 2
Authors: Shi Rui , Liu Zhaozheng , Yin Jinzhu , Deng Yue 
Published: August 2021

Abstract
Objective

The aim of this study is to investigate the role of quercetin on coronary atherosclerosis and further explore its possible mechanisms.
Methods

Hematoxylin-eosin (H&E), Immunohistochemical (IHC) and Aniline blue staining are to analyze the pathological changes of aorta cross section. Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), Swiss Target Prediction and PubChem are used to predict and screen the bioactive ingredients of Traditional Chinese medicine (Haunglian, Yuxingcao and Jinyinhua) for coronary atherosclerosis. Inflammatory factors and vascular protection parameters were quantitatively detected via ELISA and western blot. Cell Counting Kit-8 (CCK-8), 5-ethynyl-2-deoxyuridine (EdU), wound healing are conducted to detect the proliferation and migration of vascular smooth muscle cells (VSMC). DisGeNET, Matascape, SWISSMODEL, cellular thermal shift assay (CETSA) and fluorescence titrimetric are used to predict the targets of quercetin.
Results

We found that quercetin is the effective active component of Huanglian, Yuxingcao and Jinyinhua acting on AS. Further in vivo and in vitro data revealed that quercetin improved the pathological changes of model mice and inhibited VSMC cells proliferation, migration and inflammatory response. Mechanically, we demonstrated that fibroblast growth factor 2 (FGF2) is a direct target of quercetin, and overexpression of FGF2 attenuated the anti-AS function of quercetin.
Conclusion

In our study, we confirmed the functional role of the quercetin-FGF2 axis in the progression of coronary atherosclerosis, which provides a latent target for coronary atherosclerosis treatment.
Acceptability of COVID-19 Vaccination in Herat, Afghanistan
Authors: III Don Eliseo Lucero-Prisno , Neyazi Ahmad , Ahmadi Attaullah , Tabesh Omid , Afzali Habibah , Dzhusupov Kenesh , Islam Md Shariful , Nugraha Rayan Rachmad , Ntacyabukura Blaise , Budhathoki Shyam Sundar , Xu Lin 
Published: August 2021

Abstract
Background: COVID-19 vaccine hesitancy is one of the major concerns in the roll out of vaccines in many countries. The aim of the study was to assess the level of COVID-19 vaccine acceptability among the population in Herat, Afghanistan, the third largest city in the country.Methods: This cross-sectional study was conducted between 15 April 2021 and 20 April 2021 among the general population of Herat City to examine the acceptability rate of COVID-19 vaccine. Sample size was calculated at 555. Different variables were collected using a questionnaire developed. Data were evaluated in IBM SPSS program.Results: Only 10.63% of the participants were willing to receive COVID-19 vaccine without having any concern and reservation. 45% were willing to receive the COVID-19 vaccine. 66.5% were concerned about the vaccine and its side effects and 29% were afraid of being infected by transmission of COVID-19 through the administration of vaccine on them.Conclusion: This research demonstrates that, concerns about the vaccine, myths and misinformation are widespread which will undermine the vaccination process. This study recommends the initiation of more health-related campaigns and awareness programs by the government for general population to enhance and expedite the roll out of COVID-19 vaccine.
PIPxResNet: Penalty Induced Prototype-Based eXplainable Residual Neural Network for Heartbeat Classification
Authors: Nankani Deepankar , Baruah Rashmi Dutta 
Published: August 2021

Abstract
Early stage heartbeat classification using the electrocardiogram signals can prevent cardiovascular diseases that causes millions of deaths annually around the world. In the past, researchers have used deep neural networks to achieve significant performance for heartbeat classification but their black-box nature and prediction rationale limits real-world deployment. We propose a Penalty Induced Prototype based eXplainable Residual Neural Network (PIPxResNet) that addresses the black-box nature of deep neural networks. PIPxResNet encodes the temporal variations of heartbeats by employing pretrained residual neural network following the concept of task transfer learning. The algorithm further extracts prototypes that are most representative of the training dataset that explain model predictions to general physicians, making them clinically relevant. The prototypes of a particular class having close resemblance to other class prototypes are penalised and their contribution towards corresponding class is reduced. In addition, the classification performance is improved by synthesising regular and irregular heartbeats using a deep convolution conditional generative adversarial network. The proposed method can easily be adopted to other domains that requires explanations for the classification tasks. The PIPxResNet performs at par with existing state-of-the-art algorithms without compromising individual class performance when tested on four publicly available annotated datasets. The proposed model is capable to perform automated screening and provide medical attention by simulating a clinical decision support system for general physicians.
Jenny 5 - the robot
Authors: Oltean Mihai 
Published: August 2021

Abstract
Jenny 5 is a fully open-source robot intended to be used mainly for research but it can act as a human assistant too. It has a mobile platform with rubber tracks, a flexible leg, two arms with 7 degrees of freedom each, and head with 2 degrees of freedom. The robot is actuated by 20 motors (DC, steppers and servos) and its state is read with the help of many sensors. The robot also has 3 webcams for computer vision tasks. In this paper the current state of the robot is described.
Genetic analysis of SARS-CoV-2 and the common golden nucleotides to human gene
Authors: Babaee Hamed 
Published: August 2021

Abstract
BackgroundThe coronavirus disease pandemic began in 2019 in Wuhan, China, and continues into 2021, as new mutant viruses appear and require new solutions and treatments. Methods and ResultsIn this study, by genetic analysis of data from 24 SARS-CoV-2 samples from different countries and their alignment with each other and the Wuhan reference virus as well as the human genome, the disease factor is looked at from another angle. The result is the identification of genetic differences in viruses, and the finding of a unique 17-nucleotide sequence between human genes, viruses, and enzymes that can contribute to the onset and progression of the disease. ConclusionsThe role of this sequence in DNA replication and the production of new proteins and its alignment with the EPPK1 gene that may cause disease and its various symptoms are likely.
High performance photonic microwave filters based on a 50GHz FSR optical soliton crystal Kerr micro-comb
Authors: Moss David 
Published: August 2021

Abstract
We demonstrate a photonic radio frequency (RF) transversal filter based on an integrated optical micro-comb source featuring a record low free spectral range of 49 GHz yielding 80 micro-comb lines across the C-band. This record-high number of taps, or wavelengths for the transversal filter results in significantly increased performance including a QRF factor more than four times higher than previous results. Further, by employing both positive and negative taps, an improved out-of-band rejection of up to 48.9 dB is demonstrated using Gaussian apodization, together with a tunable centre frequency covering the RF spectra range, with a widely tunable 3-dB bandwidth and versatile dynamically adjustable filter shapes. Our experimental results match well with theory, showing that our transversal filter is a competitive solution to implement advanced adaptive RF filters with broad operational bandwidths, high frequency selectivity, high reconfigurability, and potentially reduced cost and footprint. This approach is promising for applications in modern radar and communications systems.
Posthospital Cardiovascular Complications in Patients after Non-Cardiac Surgery
Authors: Sokolov D. A. , Lyuboshevsky P. A. , Staroverov I. N. , Kozlov I. A. 
Published: August 2021

The objective: to analyze the incidence and spectrum of cardiovascular complications within 12 months after noncardiac surgery, as well as to assess the association of preoperative values of various cardiac risk indices (CRI) and other potential risk factors with the actual development of complications.Subjects and Methods. We analyzed data of medical records and telephone interviews of 141 patients aged 65 [60-71] years who had undergone non-cardiac surgery a year before the interview The operations were low risk in 13.5% of observations, medium risk in 64.5%, and high risk in 22%. A retrospective calculation of the Revised CRI (RCRI), Individual CRI (Khoronenko CRI), and the American College of Surgeons Perioperative Risk for Myocardial Infarction or Cardiac Arrest (MICA) was performed.Results. Cardiac events (myocardial infarction, decompensation of chronic heart failure, new arrhythmias, stroke, and/or the need to prescribe or escalate the dose of cardiovascular drugs and/or hospitalization for cardiac indications, and/or death from cardiovascular diseases) within 12 months after elective noncardiac surgeries were detected in 27.7% of cases, and in 2.1% of patient's death occurred due to cardiac disorders. Predictors of cardiac events were concomitant ischemic heart disease (OR = 2.777; 95% CI 1.286-5.966; p = 0.0093) and chronic heart failure (OR = 2.900; 95% CI 1.224-6.869; p = 0, 0155), RCRI (OR = 1.886; 95% CI 1.2-8-2.944; p = 0.005), Khoronenko CRI (OR = 3254.3; 95% CI 64.33-164,638; p = 0.0001), MICA (OR = 1.628; 95% CI 1.156-2.292; p = 0.005), creatininemia on the first postoperative day (OR = 1.023; 95% CI 1.010-1.061; p = 0.005), and propensity for bradycardia during surgery (OR = 0.945; 95% CI 0.908-0.983; p = 0.005). Combined analysis of Khoronenko's CRI and postoperative creatininemia provided a very good model: area under the ROC-curve - 0.823 (95% CI 0.728-0.641; p = 0.0002).Conclusion. All studied CRIs can be used to predict posthospital cardiac events; however, the most promising is a joint assessment of Khoronenko's CRI and postoperative creatinemia.