bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Chinese telemedicine-dialogue dataset annotated for named entities
Authors: Wang Shanshan , Yan Yajing , Yan Rong , Li Ting , Ma Kaijie , YAN Yani 
Published: April 2023

Abstract
Background: A large collection of dialogues between patients and doctors are needed to be annotated for medical named entities to build intelligence for telemedicine. However, since most patients involved in telemedicine deliver related named entities in an informal and sentence-level multi-word expression way, it is challenging to tag them on the data of telemedicine dialogues. Under such circumstance, this study aims to address this issue.
Methods: On the data of telemedicine dialogues from Haodf, we have developed guidelines and followed two-round procedure to tag six types of named entities, including disease, symptom, time, pharmaceutical, operation, and examination. Moreover, we have experimented four deep-learning models on the dataset to establish a benchmark for named entity recognition.
Results: The distilled dataset contains 2,383 consultations between doctors and patients, 13,411 sentences from doctors, 17,929 from patients. The average characters per consultation is 1,100. There is 63,560 named entities on the whole, and average characters per named entity is 4.33.Moreover, the experiment results suggest that LatticeLSTM performs best on our dataset regarding all scores like accuracy, precision, F1, etc.
Conclusion: Compared with other exiting datasets, the novelties of this dataset are reflected in three facets: First, the intricated tagging of long multi-word expressions for medical named entity has been tackled in this study. Second, it is one of first attempts to mark temporal entities. Third, this dataset is balanced across the six types of labels. We believe that this dataset will play a considerable role in expanding telemedicine AI.
Reducing Tool-Tip Wear in Micro ECDM Scanning Process with Feedback Control of Flexible Contact Force
Authors: Nawaz Shan Ali , Cao Peiyao , Tong Hao , Li Yong 
Published: April 2023

Abstract

While machining the quartz glass in micro ECDM (electrochemical discharge machining) scanning process, the wear of tool electrode is adverse to machining accuracy. In this research, the developed spindle with servo feedback control of flexible force is used to avoid the instantaneous change of contact force that leads to the bending of tool electrode when the machining surface is uneven. The basic experiments are carried out through optimizing the processing parameters of open-circuit voltage, scanning speed, and scanning time, and then the mechanism and key influential factors of tool wear are analyzed. It is found that the tool wear is caused by the chemical reaction, the heat from discharges, and the friction between tool-electrode tip and workpiece surface. Therefore, three methods for reducing the tool wear are proposed and experimented. Method I: the low temperature electrolyte is applied in increasing the heat dissipation ratio of the tool-tip. Method II: the side wall of tool electrode is insulated by an oil film to constrain spark discharges only at the tool-tip bottom. Method III: more bubbles are pumped to promote the formation of gas film and the electrolyte renewal. Experimental results show the tool wear can be obviously reduced, so the machining accuracy of micro structures on quartz glass is improved in micro ECDM scanning process.
Huge Benign Ovarian Fibrothecoma, with endometrial polyp and meigs syndrome in a Postmenopausal Woman; Case Report and Review of Literature, 2023
Authors: Frezgi Okbu , Tesfai Berhe , Tesfamichael Tiblets , Hussein Khalid , Gebremariam Hailemichael , Wahaballa Yasir D 
Published: April 2023

Abstract

Introduction: - Ovarian sex cord-stromal tumours are rare, comprising only 8% percent of all primary ovarian tumours. Ovarian fibroma is the most common benign pure stromal tumour. It has no specific clinical manifestation, most of which are pelvic or adnexal masses.
Case report: - This is 59 years old woman came to Orotta National Referral Maternity Hospital On 02-2-2023 with complaint of abdominal distension and pain of one-year duration. The distention progressed slowly and she lost weight profoundly which she can’t quantified despite having good appetite. Her menses stopped 15 years back, then-after she denies any history of vaginal bleeding or discharge. She had no any alteration in bowel habit but she experiences occasional shortness of breath especially when she sleeps without pillow. she was chronically sick looking, in mild distress with respiratory rate 20 breaths/minute with chest was clear to auscultation with decreased air entry on right lower lung field. Abdomen was grossly distended, shiny without visible collateral vein. On palpation, she had huge abdominopelvic mass of about 36 cm by 20 cm, hard, mobile, with rough surface and irregular border. Her haemoglobin was 12.82g/dl and platelet of 504.7x103/µL. Trans-abdominal ultrasonography showed huge solid pelvic mass with ascites and hydrothorax. The serum level of cancer antigen 125 (CA125) was 91.28 U/mL, the carcinoembryonic antigen (CEA) was 34.87 ng/mL and alpha-fetoprotein (AFP) and CA19-9 were within normal range. At laparotomy, there was ascites and a huge globular mass measuring 30 cm was observed on the left ovary. The right ovary, uterus, omentum, and pelvic lymph node were unremarkable macroscopically. Postoperative recovery was uneventful and histopathologic result revealed left Ovarian Fibrothecoma with benign endometrial polyp.
Conclusion:- Ovarian fibrothecoma should be considered in women with pelvic pain and a large pelvic mass. In women with ascites and mildly elevated CA 125, the ovaries should be thoroughly investigated as they can be normal initially in imaging studies and gynaecological assessment. Radical surgical excision is the preferred treatment for postmenopausal women and is associated with a good prognosis.
Nanocellulose/natural latex composite film with high barrier and preservation properties
Authors: Meng Liucheng , Xi Jianfeng , Deng Yuqing , Ye Wenjie , Bian Huiyang , Xiao Huining , Wu Weibing 
Published: April 2023

Abstract
Nanocellulose films have been extensively studied for their excellent oxygen barrier properties. However, in the presence of moisture and higher humidity, the oxygen barrier performance decreases rapidly. In this work, natural rubber latex (NRL) was used as a compounding material to improve the hydrophobic properties of 2,2,6,6-tetramethylpiperidin-1-oxyl (TEMPO) oxidized nanocellulose fibers (TOCNF) due to the ability of its naturally occurring phospholipid-protein surface to avoid the interfacial compatibility problems that exist in most hydrophobic polymers when mixed in aqueous solutions. The exposure of the internal hydrophobic isoprene molecular chains of NRL during the drying process allows the composite film to have greatly improved water resistance and excellent water vapor and oxygen barrier properties. The water vapor permeability (WVP) and oxygen permeability (OP) of the films were as low as 6.07×10− 10g·mm/m2·s·pa and 3.11×10− 15 cm3·cm/cm2·s·Pa, respectively. And the good water resistance of the composite film makes the wet tensile strength of the film up to 15.87 MPa, which reaches 71.69% of the dry tensile strength. In addition, the high ductility of NRL makes the laminate film good toughness, and its elongation at break can reach about three times that of most nanocellulose-based films. Experiments on strawberry preservation with composite films have shown that it can effectively slow down the deterioration of strawberries and extend their shelf life from two days to seven days. This study highlights the exceptional promise of these innovative films for use in food packaging applications.
A Novel MRI Feature, the Cut Green Pepper Sign, Can Differentiate a Suprasellar Pilocytic Astrocytoma From an Adamantinomatous Craniopharyngioma
Authors: xu shumin , Yang Wan-Qun , Luo Yi , Wang Xiaoyu , Li Yaowen , Meng Xianlei , Zhang Yuze , Zeng Hongwu , Huang Biao 
Published: April 2023

Abstract
Objective
There are no specific magnetic resonance imaging (MRI) features that distinguish pilocytic astrocytoma (PA) from adamantinomatous craniopharyngioma (ACP). In this study we compared the frequency of a novel enhancement characteristic on MRI (called the cut green pepper sign) in PA and ACP.
Methods
Consecutive patients with PA (n = 24) and ACP (n = 36) in the suprasellar region were included in the analysis. The cut green pepper sign was evaluated on post-contrast T1WI images independently by 2 neuroradiologists who were unaware of the pathologic diagnosis. The frequency of cut green pepper sign in PA and ACP was compared with Fisher’s exact test.
Results
The cut green pepper sign was identified in 50% (12/24) of patients with PA, and 5.6% (2/36) with ACP. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the cut green pepper sign for diagnosing PA were 50%, 94.4%, 85.7% and 73.9%, respectively. There was a statistically significant difference in the age of patients with PA with and without the cut green pepper sign (12.3 ± 9.2 years vs. 5.5 ± 4.4 years, p = 0.035).
Conclusion
The novel cut green pepper sign can help distinguish suprasellar PA from ACP on MRI.
Determinants of Entrepreneurial Intention among Graduating Students in Ethiopian Universities: The Case of Madawalabu University
Authors: Asmare Hailemichael Mulie 
Published: April 2023

Abstract

The major objective of the study was to investigate the determinants of entrepreneurial intention among graduating students at Madawalabu University. For this end, data collected from 333 graduating students selected with stratified sampling technique. The Binary Logistic Regression Model was used to analyze the determinants of the entrepreneurial intention of graduating students. The result of the study revealed that only 41.5 percent of the graduating students reported their intention to start their own business and the majority of them preferred to join public and private organizations as career choices. From the cohort of fields of study, Business and Economics graduating students retorted a better entrepreneurial intention followed by Engineering and Technology graduate students. The model result revealed sex, prior experience, residence, parental role model perceived social norms, risk-taking readiness and propensity, and entrepreneurship education were the major significant determinants of the entrepreneurial intention of graduating students, and most of the variables included in the model were found to be determinants of entrepreneurial intentions that conform both theoretical and empirical literature. Therefore, policymakers need to design entrepreneurship courses in different curricula to nurture students towards self-employment and Universities should establish business incubation programs to nourish entrepreneurial talent at the university level.
Impact of Squatting on Selected Cardiovascular Parameters Among College Students
Authors: CHUKWUEMEKA UCHECHUKWU M. , BENJAMIN CHIMDINDU P. , UCHENWOKE CHIGOZIE I. , OKONKWO UCHENNA P. , ANAKOR ANTHONY C. , EDE STEPHEN S. , FABUNMI AYODEJI A. , AMAECHI IFEOMA A. , AKOBUNDU UZOAMAKA N. 
Published: April 2023

Abstract

Squatting is an active posture test used in assessing baroreflex sensitivity and the array of patients a physiotherapist handles, may benefit from this test to avoid the adverse effects of exercise. Therefore, this study aimed to evaluate the change in cardiovascular parameters that would occur during squatting among undergraduate students. 35 males (mean age = 22.94 ± 1.846) and 40 females (mean age = 22.28 ± 2.075) participated in this experimental study. Demographic data and baseline cardiovascular parameters (blood pressure and heart rate) were taken before exercise. The exercise protocol which was the squatting stress test was done for 2 minutes, after which post exercise blood pressure and heart rate were taken at an interval of one minute each. Paired and independent t-test was used to analyze the difference at 0.05 alpha level. It was found that there was a significant difference between pre and post-exercise blood pressure and heart rate in 1 and 2 minutes (p < 0.001) and also a significant difference in pre-exercise heart rate between lying and standing (p < 0.001). Also, there was no significant difference between 1 minute and 2 minutes post squatting exercise systolic blood pressure (p = 0.588), diastolic blood pressure (p = 0.381) and heart rate (p = 0.745). In conclusion,squatting trials among undergraduates revealed some statistically significant changes, especially between the cardiopulmonary parameters obtained in a standing position compared to lying, and those measured after one minute. Therefore, caution should be observed when administering exercises that require changes in posture.
Prediction of Groundwater Contamination in an Open Landfill Area Using a Novel Hybrid Clustering Based AI Model
Authors: Singh Prachi , Mahor Vikas 
Published: April 2023

Abstract
Groundwater is a vital resource that provides drinking water to over half of the world's population. However, groundwater contamination has become a serious issue due to human activities such as industrialization, agriculture, and improper waste disposal. The impacts of groundwater contamination can be severe, including health risks, environmental damage, and economic losses. In this research work a list of unknown groundwater contamination sources were developed for the Wang-Tien landfill using Groundwater Modeling System (GMS). Further, AI based models have been developed which accurately predicts the contamination from the sources at this site. A serious complication with most previous studies using Artificial Neural Network (ANN) for contamination source identification has been the large size of the neural networks. To simplify this, we have designed the ANN models which use three different ways of presenting inputs that are categorized by hierarchical k-means clustering. Such an implementation reduces the overall complexity of the model along with high accuracy. The predictive capability of developed models was assessed using performance indices and compared with the ANN models. The results show that the Hybrid model of hierarchical K-means Clustering and ANN model (HCA-ANN) is highly accurate model for identifying pollution sources in contaminated water.
COVID-19 Exacerbates Barriers to Health, Education, and Work for Adult Education Students
Authors: Griffith Frances J , Simmons Sydney C. , Shrader Shannon , Miller-Roenigk Brittany , Crouch Maria C. , Gordon Derrick M. 
Published: April 2023

Abstract
Systemic barriers contribute to attrition from K-12 education contexts and later involvement in adult education centers, especially among students from minoritized backgrounds. To assess the impact of stress-related risk factors, including trauma exposure and COVID-19-related stress, on ABE students and their barriers to academic and vocational success. Survey methods were used for data collection, and analysis of variance and structural equation modeling were used to test hypotheses. Results showed that past traumatic experiences were more common among ABE students who reported greater social or economic marginalization, especially those identifying as lesbian, gay, or bisexual or with a history of being unhoused. We observed that more traumatic experiences predicted higher COVID-19-related stress and alcohol misuse. Higher COVID-19-related stress, in turn, predicted lower job confidence. ABE students experiencing marginalization face compounded barriers to educational and vocational goals with trauma exposure and COVID-19-related stress. Based on findings, practice recommendations for ABE centers include targeted psychoeducational resources to offset systemic stressors and bolster academic and vocational attainment, such as on-site service delivery and using ABE centers as service system access points.
The role of miR1 and miR133a in new-onset atrial fibrillation after acute myocardial infarction
Authors: Zeng Qing Yi , Li Wei , Luo Zhenghua , Zhou Haiyan , Duan Zhong Gang , Xiong Xin Lin 
Published: April 2023

Abstract
Background: The development of new-onset atrial fibrillation (NOAF) after acute myocardial infarction (AMI) is a clinical complication that requires a better understanding of the causative risk factors. In this study, we aimed to explore risk factors and the expression and function of miR1 and miR133a in new atrial fibrillation after AMI.
Methods: We collected clinical data from 172 patients with AMI treated with emergency percutaneous coronary intervention (PCI) from October 2021 to October 2022. Independent predictors of NOAF were determined using binary logistic univariate and multivariate regression analyses. The NOAF predictive value was evaluated using the area under the receiver operating characteristic (ROC) curve for related risk factors. In total, 172 venous blood samples were collected preoperatively and on the first day postoperatively; the expression levels of miR1 and miR133a were determined by polymerase chain reaction. The clinical significance of miR1 and miR133a expression levels was determined by Spearman correlation analysis.
Results: The Glasgow prognosis score, left atrial diameter, and infarct area were significant, independent risk factors for NOAF after AMI. We observed that the expression levels of miR1 and miR133a were significantly higher in the NOAF group than in the non-NOAF group. On postoperative day 1, strong associations were found between miR133a expression levels and the neutrophil ratio and between miR1 expression levels and an increased left atrial diameter.
Conclusions: Our findings indicate that the mechanism of NOAF after AMI may include an inflammatory response that is associated with an increased miR1-related mechanism. Conversely, miR133a could play a protective role in this clinical condition.
Predictors of Pulmonary Embolism in Hospitalized Patients with COVID-19
Authors: Bahk Jeeyune , Rehman Abdul , Baloch Hafiza Noor Ul Ain , Zhang Jiafang , Yip Rowena , Lookstein Robert , Steiger David J 
Published: April 2023

Abstract
BACKGROUND:
High venous thromboembolism (VTE) rates have been described in critically ill patients with COVID-19. We hypothesized that specific clinical characteristics may help differentiate hypoxic COVID-19 patients with and without a diagnosed pulmonary embolism (PE).
METHODS:
We performed a retrospective observational case-control study of 158 consecutive patients hospitalized in one of four Mount Sinai Hospitals with COVID-19 between March 1 and May 8, 2020, who received a Chest CT Pulmonary Angiogram (CTA) to diagnose a PE. We analyzed demographic, clinical, laboratory, radiological, treatment characteristics, and outcomes in COVID-19 patients with and without PE.
RESULTS:
92 patients were negative (CTA-), and 66 patients were positive of PE (CTA+). CTA+ had a longer time from symptom onset to admission (7 days vs 4 days, p=0.05), higher admission biomarkers, notably D-dimer (6.87 vs 1.59, p<0.0001), troponin (0.015 vs 0.01, p=0.01), and peak D-dimer (9.26 vs 3.8, p=0.0008). Predictors of PE included time from symptom onset to admission (OR=1.11, 95% CI 1.03-1.20, p=0.008), and PESI score at the time of CTA (OR= 1.02, 95% CI 1.01-1.04, p= 0.008). Predictors of mortality included age (HR 1.13, 95% CI 1.04-1.22, p=0.006), chronic anticoagulation (13.81, 95% CI 1.24-154, p=0.03), and admission ferritin (1.001, 95% CI 1-1.001, p=0.01).
CONCLUSIONS:
In 158 hospitalized COVID-19 patients with respiratory failure evaluated for suspected PE, 40.8% patients had a positive CTA. We identified clinical predictors of PE and mortality from PE, which may help with early identification and reduction of PE-related mortality in patients with COVID-19.
Groundwater Quality Analyses of Selected wells in Ogbomoso North Local Government Area , Oyo State, Nigeria.
Authors: Adegbola A.A , Onawumi F.V 
Published: April 2023

Abstract
There has been an increasing groundwater usage through the abstraction of water from shallow wells without any form of treatment. The effect of using water from a shallow and untreated well is prone to water-borne diseases. This study investigated the groundwater quality of some selected wells in Ogbomoso North Local Government Area (LGA) of Oyo State, Nigeria. One hundred samples were collected for analyses in dry and rainy seasons using Global Positioning System (GPS 72) tools. The sampling points were located based on the existing delineation of ten (10) wards in the LGA, and their nearness to sources of possible pollution such as sewage, waste dump sites, mechanics workshop, cassava processing units, and drainages. These samples were subjected to physical (pH, turbidity), chemical (hardness, chloride, sulphate, zinc, chromium), and bacteriological (coliform and E-coli) examinations by using American Public Health Association (APHA) Standard procedures. The results of the analyses were compared to Nigerian Industrial Standards (NIS) and World Health Organization (WHO) Standards. Statistical analysis was carried out using descriptive (tables and percentages) analyses and inferential Analysis of variance (ANOVA) while a water quality map was developed by interpolating data obtained on a Geographical Information System (GIS) Arc map version 10.0 packages. The results of pH, turbidity, hardness, chloride, sulphate, zinc and chromium values of the samples ranged from 5.8-7.3 mg/l, 5.4-7.3 mg/l; 0-8 NTU, 0-1 NTU; 5.2-25.4 mg/l, 4.05-27.23 mg/l; 2.2-13.2 mg, 0.49-6.41mg/l; 103 15-604.29 mg/l, 44 9-191.42 mg/l; 0.00- 0.23 mg/l, 0.0 4- 0.19 mg/l; 0.00-0.27 mg/l, 0.01-0.19 mg/l for dry and rainy season, respectively. E-coli and T-coli values of the samples ranged from 16-64 mg/l; 20-52 mg/l and 20-64 mg/l; 12-68 mg/l for dry and rainy seasons, respectively. The mean effect of the tested parameters in the ten (10) wards is significantly (p<0.05) different for rainy and dry season. The developed water quality map indicated the strength of contaminants present in water in Ogbomoso North LGA. Hence treatment will be required for the wells investigated before domestic use.
Multifractal Detrended Fluctuation Analysis of Phonocardiogram signal and classification using Support Vector Machine
Authors: Houda Hakkoum Khaoula Nour El 
Published: April 2023

Abstract
The aim of this study is to discover and develop a reliable method to assist doctors in the early detection and diagnosis of heart disease, by analyzing the normal and abnormal Phonocardiogram signal (PCG)by using Multifractal Detrended Fluctuation Analysis (MFDFA) in order to comprehend and explore the underlying dynamics between pathological and normal case, as this method allowed extracting the most important characteristics of the PCG signal and also proved its effectiveness by 98.5075 % when classifying its results in support vector machine (SVM),the proposed method applied at MATLAB R2022b with record signals from PhysioNet and Michigan web site. The MFDFA technique appears to be promising in heart disease study