bluuebunny/crossref_metadata_2025 huggingface dataset:
Privacy-Preserving Vehicle Assignment in the Parking Space Sharing System
Authors: Fu Tingting , Liu Peng , Liu Kun , Li Peng
Published: October 2020

Nowadays, the availability of parking spaces is far behind the quick rising number of cars. Rather than building more lots, a better way is to share private-owned parking spaces. However, this faces the challenge that users are not willing to expose their privacy to the public. To solve this problem, we propose a new architecture for parking space sharing, integrating homomorphic cryptography into the design of a secure protocol for parking space searching and booking. The proposed privacy-preserving matching scheme (PPMS) is constructed in an untrusted third-party service system including two independent entities, namely, a server and an intermediary platform. Via the participant comparison protocol (PCP), a driver can choose from the matching result and be navigated to the parking space near his destination, without knowing any information of the provider and vice versa. In the meanwhile, in order to further improve the efficiency of matching, we also propose a block algorithm based on the longitude and latitude (BABLL), which utilizes a novel partitioning scheme. The feasibility of the architecture is validated through the detailed theoretical analysis and extensive performance evaluations, including the assessment of the resilience to attacks.
Computational Fluid Dynamics-Based Simulation of Crop Canopy Temperature and Humidity in Double-Film Solar Greenhouse
Authors: Jiao Wei , Liu Qi , Gao Lijun , Liu Kunyu , Shi Rui , Ta Na
Published: October 2020

The microenvironment of the crop area in a greenhouse is the main factor that affects its growth, quality, and pest control. In this study, we propose a double-layer film solar greenhouse microenvironment testing system based on computational fluid dynamics simulations of a celery canopy with a porous medium. A real greenhouse was examined with a sensor system for soil, air, radiation, and carbon dioxide detection to verify the simulation results. By monitoring the internal environment of celery canopies with heights of 0.8 and 1 m during a period of temperature fluctuations, we found the temperature and humidity of the canopy interior changed spatially and differed greatly from the those in the greenhouse under solar radiation conditions. The temperature and humidity of the celery canopy were 4–14°C lower and 10%–30% higher than those of the surroundings. As the canopy grew, the differences in temperature and humidity between the canopy and other parts of the greenhouse increased. The root mean square errors of the temperature and humidity with the 0.8 m high celery canopy were found to be 0.56 and 2.86 during the day and 0.24 and 0.81 at night, respectively; the corresponding values for the 1 m high celery canopy were found to be 0.51 and 2.26 during the day and 0.26 and 0.78 at night. The porous medium model expressed the temperature and humidity characteristics of the celery crop appropriately, and the simulation method was shown to be effective and feasible. With the simulation method proposed in this study, the production of crops in complex microenvironments in greenhouses can be modeled and digitized.
Fake News Detection Using Machine Learning Ensemble Methods
Authors: Ahmad Iftikhar , Yousaf Muhammad , Yousaf Suhail , Ahmad Muhammad Ovais
Published: October 2020

The advent of the World Wide Web and the rapid adoption of social media platforms (such as Facebook and Twitter) paved the way for information dissemination that has never been witnessed in the human history before. With the current usage of social media platforms, consumers are creating and sharing more information than ever before, some of which are misleading with no relevance to reality. Automated classification of a text article as misinformation or disinformation is a challenging task. Even an expert in a particular domain has to explore multiple aspects before giving a verdict on the truthfulness of an article. In this work, we propose to use machine learning ensemble approach for automated classification of news articles. Our study explores different textual properties that can be used to distinguish fake contents from real. By using those properties, we train a combination of different machine learning algorithms using various ensemble methods and evaluate their performance on 4 real world datasets. Experimental evaluation confirms the superior performance of our proposed ensemble learner approach in comparison to individual learners.
Effect of Multiradiance Low-Level Laser Therapy and Topical Silver Sulfadiazine on Healing Characteristics of Dermal Wounds in Marine Toads (Rhinella marina)
Authors: Archibald Kate E. , Harrison Tara , Troan Brigid , Smith Dustin , Minter Larry J.
Published: October 2020

Current recommendations for wound management in amphibians are based primarily on clinical experience and on extrapolation from other taxa, whereas controlled clinical studies are lacking. Low-level laser therapy, also termed photobiomodulation, has gained popularity in veterinary medicine and may represent a valuable adjunct therapy for wound care in amphibians, though dosing and safety evaluations have not been previously reported. Silver sulfadiazine (SSD), a topical antimicrobial, is commonly utilized in amphibian medicine but little is known about its effects on wound healing in this class of animals. This pilot study evaluated the effects of repeated treatments of low-level laser therapy or topical SSD on second-intention healing characteristics of surgically induced full-thickness dermal wounds in 33 adult wild-caught marine toads. Toads were anesthetized, and a 6 mm cutaneous biopsy was performed over the right dorsum. They were then randomly assigned to one of three groups: laser therapy (LT) at 5 Hz (905 nm wavelength on a super pulsed sequence), topical SSD (SD), or control sham treatment (CT). Treatments were administered at 24 hrs after biopsy and then every 72 hrs thereafter, concurrent with a visual assessment of the wound. Toads were euthanized at one of five timepoints (day 4, 7, 13, 19, or 28) to permit scoring of histologic criteria, including lymphocytic inflammation, granulomatous inflammation, heterophilic inflammation, granulation tissue, fibrosis, and reepithelialization. Visual assessments and histologic scoring did not identify a benefit of laser therapy or SSD as compared to controls. Laser therapy and SSD, at the doses and dosing schedule utilized in this pilot study, appear to be safe and well-tolerated treatments in marine toads, but may not be warranted for uncomplicated skin wounds in this species.
Assessment of Validity of Children’s Movement Skill Quotient (CMSQ) Based on the Physical Education Classroom Environment
Authors: Chang Jindong , Li Yan , Song Hanbing , Yong Liming , Luo Lin , Zhang Zhanjia , Song Naiqing
Published: October 2020

The development of movement skills in children is a critical element in promoting physical activity and other positive health trajectories over their lifetime. A reliable and valid assessment tool is essential for evaluating children’s movement skills in daily physical education environments. The purpose of this study was to examine the validity of Children’s Motor Skills Quotient (CMSQ) used in the classroom setting. Six raters conducted evaluation to participants, and a total of 734 children completed all the test items and were included in the study. Descriptive statistics and Rasch analysis were used in this study. The descriptive statistics were mainly used for calculating the mean, standard deviation, percentage, and internal consistency coefficient. Rasch analysis was used to verify the fitting statistics, project difficulty, and functional differences of the items of the CMSQ. The findings showed that the CMSQ met the assumption of the Rasch model, including the unidimensionality, local independence, person measure, and item difficulty hierarchy. The CMSQ also demonstrated adequate interrater reliability and internal consistency. The differential item functioning (DIF) demonstrated a few items showing different probabilities across sex and age. To maintain the item difficulty hierarchy of the CMSQ, no items were deleted. Overall, the CMSQ seems to have appropriate test items with an appropriate rating scale structure for measuring 6‐9‐year‐old children’s movement skills in the physical education classroom environment.
Environmental Pollutant Benzo[a]pyrene Induces Recurrent Pregnancy Loss through Promoting Apoptosis and Suppressing Migration of Extravillous Trophoblast
Authors: Ye Yang , Jiang Sushi , Zhang Chao , Cheng Yanxiang , Zhong Huan , Du Tao , Xu Wenming , Azziz Ricardo , Zhang Huidong , Zhao Xiaomiao
Published: October 2020

Objects. To investigate the effects of environmental pollutant benzo(a)pyrene (BaP) and its metabolite benzo[a]pyrene‐7,8‐diol‐9,10‐epoxide (BPDE) on human trophoblasts and on murine miscarriages. Methods. The implantation sites, fetus resorption, and abnormal fetuses were studied in pregnant mice treated with different doses of BaP by oral gavage from day 1 to day 10 of gestation. Additionally, apoptosis and related signaling pathway, and the migration and invasion of trophoblasts, were assessed before and after exposure of BPDE in Swan 71 trophoblast cell. Besides, the migration and invasion, and its related signaling pathway, were assessed in villi obtained from women. Results. We observed a concentration‐dependent incidence of abnormal murine fetuses, beginning with 0.1 mg/kg BaP; with a BaP concentration of 2 mg/kg, no fetuses developed. Correspondingly, a BPDE concentration‐dependent apoptosis of human trophoblasts. Beginning with 0.5 μM BPDE exposure, Bax/Caspase‐3 were increased and Bcl‐2 decreased. Furthermore, BPDE also inhibited, in a dose‐dependent manner, the migration of villous explants from elective abortion women, consistent with the reduced migration of villous explants from women with recurrent pregnancy loss (RPL), and reduced the cell immigration in Swan 71 trophoblasts, in a dose‐dependent manner measured by transwell assays. Conclusions. Our study results provide mechanistic insight to the effect of BPDE on trophoblast dysfunction through enhanced cell apoptosis and inhibited migration, providing further experimental evidence to the causative links between BaP exposure and PRL.
Stopping the COVID-19 Pandemic: A Review on the Advances of Diagnosis, Treatment, and Control Measures
Authors: Siam Md. Hasanul Banna , Nishat Nahida Hannan , Ahmed Ahsan , Hossain Mohammad Sorowar
Published: October 2020

With the continued spread of COVID-19 across the world, rapid diagnostic tools, readily available respurposable drugs, and prompt containment measures to control the SARS-CoV-2 infection are of paramount importance. Examples of recent advances in diagnostic tests are CRISPR technology, IgG assay, spike protein detection, and use of artificial intelligence. The gold standard reverse transcription polymerase chain (RT-PCR) has also been upgraded with point-of-care rapid tests. Supportive treatment, mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) remain the primary choice, while therapeutic options include antivirals, antiparasitics, anti-inflammatories, interferon, convalescent plasma, monoclonal antibody, hyperimmunoglobulin, RNAi, and mesenchymal stem cell therapy. Different types of vaccines such as RNA, DNA, and lentiviral, inactivated, and viral vector are in clinical trials. Moreover, rapidly deployable and easy-to-transport innovative vaccine delivery systems are also in development. As countries have started easing down on the lockdown measures, the chance for a second wave of infection demands strict and rational control policies to keep fatalities minimized. An improved understanding of the advances in diagnostic tools, treatments, vaccines, and control measures for COVID-19 can provide references for further research and aid better containment strategies.
Transjugular Intrahepatic Portosystemic Shunt Placement for Portal Hypertension: Meta-Analysis of Safety and Efficacy of 8 mm vs. 10 mm Stents
Authors: Liu Jiangtao , Wehrenberg-Klee Eric Paul , Bethea Emily D. , Uppot Raul N. , Yamada Kei , Ganguli Suvranu
Published: October 2020

Introduction. Hepatic encephalopathy (HE) following transjugular intrahepatic portosystemic shunt (TIPS) placement remains a leading adverse event. Controversy remains regarding the optimal stent diameter given that smaller stents may decrease the amount of shunted blood and decrease the risk of HE, but stent patency and/or clinical adequacy of portal decompression may also be affected. We aim to provide meta-analysis-based evidence regarding the safety and efficacy of 8 mm vs. 10 mm stents during TIPS placement. Methods. PubMed, Embase, Cochrane Library, and Web of Science were searched for studies comparing 8 mm and 10 mm stents during TIPS placement for portal hypertension decompression in cirrhotic patients. Randomized controlled trials and cohort studies were prioritized for inclusion. Overall evaluation of quality and bias for each study was performed. The outcomes assessed were the prevalence of HE, rebleeding or failure to control refractory ascites, and overall survival. Subgroup analysis based on TIPS indication was conducted. Results. Five studies with a total number of 489 cirrhotic patients were identified. The pooled hazard ratio (HR) of post-TIPS HE was significantly lower in patients in the 8 mm stent group than in the 10 mm stent group (HR: 0.68, 95% CI: 0.51~0.92,

p

value < 0.0001). The combined HR of post-TIPS rebleeding/the need for paracentesis was significantly higher in patients in the 8 mm stent group than in the 10 mm stent group (HR: 1.76, 95% CI: 1.22~2.55,

p

value < 0.0001). There was no statistically significant difference in the overall survival between the 8 mm and 10 mm stent groups. The combined risk of HE in the variceal bleeding subgroup was statistically lower (HR: 0.52, CI: 0.34-0.80) with an 8 mm stent compared with a 10 mm stent. The combined risk of both rebleeding/paracentesis and survival was not statistically significant between 8 mm and 10 mm stent use in subgroup analysis. Conclusion. 8 mm stents during TIPS placement are associated with a significant lower risk of HE compared to 10 mm stents (32% decreased risk), as well as a 76% increased risk of rebleeding/paracentesis. Meta-analysis results suggest that there is not one superior stent choice for all clinical scenarios and that the TIPS indication of variceal bleeding or refractory ascites might have different appropriate selection of the shunt diameter.
Multimodal MR Features of 8 Cases of Epithelioid Glioblastoma
Authors: Zhao Ji-ping , Cui Chun-xiao , Wang Jia-chen , Su Hua-wei , Duan Chong-feng , Liu Xue-jun
Published: October 2020

Purpose. The MRI features of epithelioid glioblastoma (eGBM) were analyzed. The apparent diffusion coefficient (ADC), MR perfusion‐weighted imaging (PWI), and magnetic resonance spectroscopy (MRS) findings were quantitatively analyzed.Methods. The MRI images of 8 cases of eGBM were analyzed retrospectively. The location and edge, signal, peritumoral edema, adjacent meningeal invasion, and enhancement of the lesions were observed. The ADC value, relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), and N‐acetylaspartate/acetylcholine (NAA/Cho) value were analyzed.Results. Among the 8 patients, the tumors were mainly located in the temporal lobe (n = 3), frontal lobe (n = 3), and parietal lobe (n = 2). The lesion boundary was clear in 6 cases and unclear in 2. The lesions were superficial in 5 cases and in the deep white matter in 3. Internal hemorrhage was observed in 4 cases. There was cystic necrosis in 7 cases, and only 1 case was solid without cystic necrosis. There was no edema around the lesion in 1 case, severe edema in 5, and moderate edema in 2. In 4 cases, the adjacent meninges were involved, and in 1 case, the ependyma was involved. Two patients developed leptomeningeal metastasis within 2 months after the operation. The average ADC value of the tumor parenchyma among all 8 patients was7.15 × 10−4 mm2/s,which was 17.6% lower than that of the contralateral side. The Cho/NAA metabolite ratio was 5.27 and 0.81 in the lesions of 2 patients. The rCBV was 3.51 ml/100 g and 3.32 ml/100 g of lesions in 2 patients; these values were 36% and 29% higher, respectively, than those of the contralateral side. The rCBF was 31.5 ml/100 g/min and 82.1 ml/100 g/min of lesions in two patients; these values were 49% and 203% higher, respectively, than those of the contralateral side.Conclusion. eGBM characteristics include a superficial location, easy cyst degeneration, easy necrosis and hemorrhage, and clear boundaries. It easily invades adjacent meninges and shows cerebrospinal fluid dissemination and metastasis. Combining new MR techniques, such as ADC values, PWI, and MRS, could be helpful for improving diagnostic accuracy.
Changes in the Hormonal Profile of Athletes following a Combat Sports Performance
Authors: Ziemba Andrzej , Adamczyk Jakub G. , Barczak Anna , Boguszewski Dariusz , Kozacz Agnieszka , Dąbrowski Jan , Steczkowska Marta , Pepłońska Beata , Żekanowski Cezary
Published: October 2020

Background and Study Aim. Stimulation of the sympathetic nervous system and the hypothalamic‐pituitary‐adrenal axis are a crucial mechanism of adaptation to physical exercise, in particular in combat sports. This study assesses changes of the relevant hormonal profiles upon performance in selected combat sports. Material and Methods. Participants (130 men practicing combat sports at a high level) were divided by discipline: karate (K), taekwondo (T), and judo, wrestling, and sumo combined (JWS). Blood concentration of adrenaline, noradrenaline, cortisol, testosterone, and brain‐derived neurotrophic factor (BDNF) was determined before and after fighting. Results. Following fighting, the adrenaline concentration was significantly higher in all athletes, most markedly in K (p < 0.001). Baseline cortisol and BDNF levels did not differ among the groups and rose significantly in all the groups after the performance. Baseline testosterone concentration was slightly higher in K than in JSW and rose in all the groups to reach similar levels; the increase in T was significantly higher than in K. Conclusions. Despite substantial differences in the characteristics of the combat sports investigated, including the type of physical effort and the required balance between restraint and aggression, the performance in each of them gives rise to similar hormonal changes with a possible exception of karate showing higher stress hormone levels.
Analysis of the following Related Surgeries of Unicompartmental Knee Arthroplasty and Total Knee Arthroplasty: A Taiwanese National Health Insurance Research Database Population‐Based Study
Authors: Chang Shu-Hao , Lee Chune-Chen , Lin Chia-Ying , Kuo Yu-Feng , Jiang Ching-Chuan , Chen Yong-Chen
Published: October 2020

Background. Current treatment options for both unicompartmental knee arthroplasty (UKA) and total knee arthroplasty (TKA) are still controversial with no consistent results in which one is superior to others. This is the first study to examine and analyze the following related data available in patients receiving either UKA or TKA from the National Health Research Database (NHIRD) in Taiwan. Methods. The database was searched from NHIRD, pooling one million random patients. Patients’ age, gender, and comorbidities were analyzed in either UKA or TKA between January 2005 and December 2013, or up until death. For the patients that had received bilateral surgeries, further subgrouping was divided into TKA to TKA, UKA to UKA, TKA to UKA, and UKA to TKA to analyze the completion rate curve. Additional analysis of the order codes 64202B, 64053B, and 64198B was defined as failures, and the related failure rate curves were analyzed separately within ten years. Finally, infection‐related codes were analyzed. Results. 6,179 patients (n = 276 UKA; n = 5903 TKA) were selected. Age (p < 0.0001) and gender (p = 0.037) had significant differences, with more young population and males having UKA than TKA. Most comorbidities had no significant difference. For the bilateral surgery analysis, the UKA to UKA group had the fastest completion rate (p < 0.001) and UKA to TKA was the slowest. There were no significant differences in the failure rates of 64202B, 64053B, and 64198B. Conclusion. Most UKA and TKA are appropriate solutions to treat patients with osteoarthritis or osteonecrosis. UKA to UKA is the quickest bilateral completion surgery, and UKA has a higher chance of undergoing revision surgery than TKA.
Multiple-Attribute Decision-Making Problem Using TOPSIS and Choquet Integral with Hesitant Fuzzy Number Information
Authors: Garg Harish , Keikha Abazar , Mishmast Nehi Hassan
Published: October 2020

The paper aims are to present a method to solve the multiple-attribute decision-making (MADM) problems under the hesitant fuzzy set environment. In MADM problems, the information collection, aggregation, and the measure phases are crucial to direct the problem. However, to handle the uncertainties in the collection data, a hesitant fuzzy number is one of the most prominent ways to express uncertain and vague information in terms of different discrete numbers rather than a single crisp number. Additionally, to aggregate and to rank the collective numbers, a TOPSIS (“Technique for Order of Preference by Similarity to Ideal Solution”) and the Choquet integral (CI) are the useful tools. Keeping all these features, in the present paper, we combine the TOPSIS and CI methods for hesitant fuzzy information and hence present a method named as TOPSIS-CI to address the MADM problems. The presented method has been described with a numerical example. Finally, the validity of the stated method as well as a comparative analysis with the existing methods is addressed in detail.
KEAP1/NFE2L2 Mutations Predict Lung Cancer Radiation Resistance That Can Be Targeted by Glutaminase Inhibition
Authors: Binkley Michael S. , Jeon Young-Jun , Nesselbush Monica , Moding Everett J. , Nabet Barzin Y. , Almanza Diego , Kunder Christian , Stehr Henning , Yoo Christopher H. , Rhee Siyeon , Xiang Michael , Chabon Jacob J. , Hamilton Emily , Kurtz David M. , Gojenola Linda , Owen Susie Grant , Ko Ryan B. , Shin June Ho , Maxim Peter G. , Lui Natalie S. , Backhus Leah M. , Berry Mark F. , Shrager Joseph B. , Ramchandran Kavitha J. , Padda Sukhmani K. , Das Millie , Neal Joel W. , Wakelee Heather A. , Alizadeh Ash A. , Loo Billy W. , Diehn Maximilian
Published: October 2020

Tumor genotyping is not routinely performed in localized non–small cell lung cancer (NSCLC) due to lack of associations of mutations with outcome. Here, we analyze 232 consecutive patients with localized NSCLC and demonstrate that KEAP1 and NFE2L2 mutations are predictive of high rates of local recurrence (LR) after radiotherapy but not surgery. Half of LRs occurred in tumors with KEAP1/NFE2L2 mutations, indicating that they are major molecular drivers of clinical radioresistance. Next, we functionally evaluate KEAP1/NFE2L2 mutations in our radiotherapy cohort and demonstrate that only pathogenic mutations are associated with radioresistance. Furthermore, expression of NFE2L2 target genes does not predict LR, underscoring the utility of tumor genotyping. Finally, we show that glutaminase inhibition preferentially radiosensitizes KEAP1-mutant cells via depletion of glutathione and increased radiation-induced DNA damage. Our findings suggest that genotyping for KEAP1/NFE2L2 mutations could facilitate treatment personalization and provide a potential strategy for overcoming radioresistance conferred by these mutations.

Significance:

This study shows that mutations in KEAP1 and NFE2L2 predict for LR after radiotherapy but not surgery in patients with NSCLC. Approximately half of all LRs are associated with these mutations and glutaminase inhibition may allow personalized radiosensitization of KEAP1/NFE2L2-mutant tumors.

This article is highlighted in the In This Issue feature, p. 1775
Implantation of Phakic Anterior Chamber Lens for the Treatment of Extreme Myopia
Authors: Wu Hongyun , Hu Liqun
Published: October 2020

The purpose of this study was to examine visual function and eye structure before and after implantation of an intraocular lens in the phakic posterior chamber of the eye, for the correction of extreme myopia. Thirty subjects with 12∼ –27 diopters of extreme myopia were implanted
with posterior chamber phakic intraocular lenses, and followed-up for 3–27 months. The follow-up examinations included uncorrected visual acuity (UCVA), best corrected visual acuity (BSCVA), intra ocular pressure (IOP), refractive power, lens transparency, intra ocular lens (IOL) position,
endothelial cell density (ECD), anterior chamber depth (ACD), axial length, near point of accommodation, and macular retinal thickness. All indices improved after the surgery. These results demonstrate that the implantable collamer lens (ICL) for extreme myopia can effectively improve vision,
and does not have negative effects on eye structure and accommodation.
Analysis of Risk Factors Related to Complications of Puncture Biopsy in Lung Cancer Patients Under Image Guidance
Authors: Yin Degang , Feng Kan , Yan Biao , Wang Jiansheng , Hou Qinming , Zheng Zhongshu
Published: October 2020

To investigate the risk factors of complications in lung cancer patients after CT image-guided percutaneous lung biopsy (PTNB), in this study, 110 patients admitted to Xixi Hospital from January 30, 2017 to June 30, 2019 were selected for PTNB, and the basic characteristic information,
lesion diameter, number of needle penetration, depth of needle penetration, physiological results of biopsy, postoperative concurrent symptoms, and success rate of biopsy were recorded. In addition, multivariate Logistic regression model (MLRM) was adopted to explore the correlation between
various correlated characters and concurrent symptoms. The results showed that the biopsy pathological results were 53 cases of adenocarcinoma, 31 patients with squamous cell carcinoma, 8 patients with thymic carcinoma, 7 patients with small cell carcinoma and 11 patients with lymph carcinoma,
and the success rate of needle biopsy was 100% by comparison with the final diagnosis. Among them, 35 patients developed pneumothorax symptoms postoperatively with a complication rate of 31.82%, 22 patients developed hemoptysis postoperatively with a complication rate of 20%, and 6 patients
developed infection with a complication rate of 5.45%. The results of regression analysis showed that pneumothorax and hemoptysis were positively correlated with the number of de needles (P < 0.05), and negatively correlated with lesion diameter (P < 0.05). In addition,
pneumothorax was also significantly positively correlated with age (P < 0.05), and infection was significantly positively correlated with the number of puncture needles (P < 0.05). Therefore, the main complications after PTNB are pneumothorax and hemoptysis, the high risk
factors associated with pneumothorax include lesion diameter, number of puncture needles and age, the high risk factors associated with hemoptysis include lesion diameter and number of puncture needles, and the risk factors associated with infection are number of puncture needles.
Epilepsy EEG Classification Based on Convolution Support Vector Machine
Authors: Xin Qi , Hu Shaohai , Liu Shuaiqi , Ma Xiaole , Lv Hui , Zhang Yu-Dong
Published: October 2020

Clinical Electroencephalogram (EEG) data is of great significance to realize automatable detection, recognition and diagnosis to reduce the valuable diagnosis time. To make a classification of epilepsy, we constructed convolution support vector machine (CSVM) by integrating the advantages
of convolutional neural networks (CNN) and support vector machine (SVM). To distinguish the focal and non-focal epilepsy EEG signals, we firstly reduced the dimensionality of EEG signals by using principal component analysis (PCA). After that, we classified the epilepsy EEG signals by the
CSVM. The accuracy, sensitivity and specificity of our method reach up to 99.56%, 99.72% and 99.52% respectively, which are competitive than the widely acceptable algorithms. The proposed automatic end to end epilepsy EEG signals classification algorithm provides a better reference for clinical
epilepsy diagnosis.
Segmentation and Measurements of Carotid Intima-Media Thickness in Ultrasound Images Using the Improved Convolutional Neural Network and Support Vector Machine
Authors: Guo Dequan , Zhang Gexiang , Peng Hui , Yuan Jianying , Paul Prithwineel , Fu Kechang , Zhu Ming
Published: October 2020

In recent years, diseases of cardiovascular and cerebrovascular have attracted much attention due to main causes in death in human beings. To reduce mortality, there are lots of efforts which are focused on early diagnosis and prevention. It is an important reference index for cardiovascular
diseases through the endovascular membrane in carotid artery by medical ultrasound images. The paper proposes a method which finds the region of interest (ROI) by convolutional neural network, segments and measures intima-media membrane mainly using support vector machine (SVM). Essentially,
the task of detecting the membrane is one target detection problem. This paper adopts the strategy, named Yon Only Look Once (YOLO), a new detection algorithm, and follows the convolution neural network algorithm based on end-to-end training. Firstly, sufficient samples are extracted according
to certain characteristics in the special region. It can be trained by the SVM classification model. Then the ROI is processed and all the pixels are classified into boundary points and non-boundary points through the classification model. Thirdly, the boundary points are selected to obtain
the accurate boundary and calculate the intima-media thickness (IMT). In experiments, two hundred ultrasound images are tested, and the results verify that our algorithm is consistent with the results by ground truth (GT). The detection speed of the algorithm in this paper is in real time,
and it has high generalization characteristics. The algorithm computes the intima-media thickness in ultrasound images accurately and quickly with 95% consistence to ground truth.
The Location and Incidence of Patent Accessory Pulpal Canals in Permanent Molars with Periodontal Lesion by Using Micro-Computed Tomography
Authors: Chouchi Dima , Berberoğlu Atilla , Orhan Kaan , Etikan Ilker , Tümer Hayriye , Bağlış Nilsun
Published: October 2020

Objective: In this study, the event of patent accessory pulpal canals situated in periodontal pockets has been resolved to utilize the micro-CT method. Methods: Fifty-seven extracted permanent human teeth were utilized to examine the commonness, location, and diameter
of the patent accessory canals that are opening outside toward the periodontal pocket by utilizing micro-CT and high-resolution desktop. Results: Through 57 molars 6 (10.25%) were accessible with patent accessory, canals inside furcation area, of root, 49 (85%) were accessible with
patent accessory canals inside the mesial and distal buccal root, and 28 (49.1%) were accessible with patent accessory, canals inside the palatal/lingual root. A measurably critical variety was found alongside the nearness of patent accessory trench in various roots and pocket depth at a similar
region of the nearness waterway just as the nearness of these canals and connection misfortune in this region. Conclusions: Progression of periodontal pocket might be responsible for opening accessory canal and cause pulp pathosis, making successful periodontal therapy difficult.
Trueness and Precision of Three Different Scanners for Digitizing a Completely Edentulous Gypsum Model
Authors: Kayssoun Ammar , Özden A. Nehir
Published: October 2020

Purpose: The aim of this in vitro study was to evaluate the precision and trueness of three different scanners to scan a maxillary edentulous model using three-dimensional evaluation software. Materials and Methods: A coordinate measuring machine was used as the
reference scanner. Cone beam computed tomography, computed tomography (CT), and an intraoral scanner were used to digitize an edentulous gypsum model. Data were collected and loaded into three-dimensional evaluation software. The scan outputs were superimposed, and the accuracy (trueness and
precision) of the scanners were compared. One-way ANOVA was used to compare the accuracy values among all groups (trueness) and to determine differences within groups (precision). Statistical significance was assessed with an independent sample t-test (= 0.05) for each group. Results:
The mean precision values ranged from 3.5 to –0.2 m. Analysis of the superimposed scans onto the reference scan for each group revealed no significant differences in trueness and precision (p > 0.05) among all groups. Further, binary comparisons of the datasets of each group
revealed no significant differences (p > 0.05) in terms of precision values, except in the CT group wherein significant differences (p ≤ 0.05) were observed for most models. Conclusions: No significant differences were observed in terms of accuracy (precision and
trueness) among the three scanners. All scanners were effective in scanning the edentulous gypsum model.
Image Visual Sensor Used in Health-Care Navigation in Indoor Scenes Using Deep Reinforcement Learning (DRL) and Control Sensor Robot for Patients Data Health Information
Authors: Seaman Walead Kaled , Yavuz Sırma
Published: October 2020

Compared with traditional motion planners and deep reinforcement learning DRL has been applied more and more widely to achieving sequential behaviors control of movement robots in internal environment. There are two addressed issues of deep learning. The inability to generalize to achieve
set of goals. The data inefficiency, that is, the model requires, many trial and error loops (often costly). Applied can impact a few key areas of medicine and explore how to build end-to-end systems. Our discussion of computer vision focuses largely on medical imaging. In this paper, we address
these two issues and apply the proposed model to visual navigation in conformity with generalizing in conformity with obtaining new goals (target-driven). To tackle the first issue, we advise an actor-critic mannequin whose coverage is a feature of the intention as much properly namely the
present day state, which approves higher generalization. To tackle the second issue, we advocate the 3D scenes in environment indoor simulation is AI2-THOR framework, who provides a surrounding including tremendous with high-quality 3D scenes and a physics engine. Our framework allows agents
according to receive actions and have interaction with objects. Hence, we are able to accumulate an enormous number of training samples successfully with sequential decision making based totally on the RL framework. Particularly, Healthcare and medicine stand to benefit immensely from deep
learning because of the sheer volume of data being generated we used the behavioral cloning approach, who enables the active agent to storeroom an expert (or mentor) policy except for the utilization of reward function stability or generalizes across targets.
Incidence of Orthodontic Problems in Northern Cypriot Population
Authors: Nadejda Beleva , Kacamak Nazlı Idil , Sin Cagla , Kamiloglu Beste
Published: October 2020

Aim: Technologies related to big data are progressively used for various research purposes in the fields of dentistry and health-care informatics. Large amounts of clinical data have been achieved and acquired at an exceptional acceleration and advancement. The actively developing
field of big data analysis has started to play a critical and decisive role in the progression of dental practices and research. It has implemented tools to collect, regulate, interpret, and comprehend enormous volumes of distinct, structured, and unstructured data established from the present
healthcare systems. Big data analysis has been lately devoted in the direction of encouraging and assisting the process of problem detection and care delivery. Our study aimed at measuring the frequentness of orthodontic problems, incidence of malocclusion and the orthodontic treatment demand
among children who attend secondary schools in Northern Cyprus. Methods: For the present survey, our sample included 426 school children (203 females and 223 males) who are 12–15 years of age. Molar relation in each child was assessed according to Angle's classification. To evaluate
the need and demand for orthodontic treatment, the ICON index was then used. Occlusal features such as overbite and overjet were measured and the presence of malocclusal characteristics such as cross bite, deep bite or open bite was examined and recorded for each subject. Our findings indicated
that among this Northern Cypriot school population: (20.6%) had no occurrence of malocclusion, (74.6%) were found to have a Class I molar relation, (21.1%) had a Class II molar relation (Division 1, 13.6%; Division 2, 1.6%) and (3.3%) had a Class III malocclusion. Moreover, (20.2%) of all
the examined children were found in need of orthodontic treatment. Digital modelling derived from CBCT scanning of plaster casts is a reliable method to assure the accuracy of measurements obtained directly from clinical and dental examination. Results: 74.6% of all subjects were found
to have class I dental malocclusion; class II division 1 were calculated at 13,6%, class II division 2 were 1,6%, class II subdivision 4,2%, class III were calculated to be at 3,3% and class III subdivision 2,5%. Conclusion: The most common orthodontic malocclusion in Northern Cypriot
school children is Class I and the least common one is Class II division 2.
Predictive Data Modeling Using sp-kNN for Risk Factor Evaluation in Urban Demographical Healthcare Data
Authors: Bhatti Uzair Aslam , Yuan Linwang , Yu Zhaoyuan , Nawaz Saqib Ali , Mehmood Anum , Bhatti Mughair Aslam , Zeeshan Qurat ul Ain , Nizamani Mir M. , Zeeshan  , Xiao Shengjun
Published: October 2020

Healthcare diseases are spreading all around the globe day to day. Hospital datasets are full from the data with much information. It's an urgent requirement to use that data perfectly and efficiently. We propose a novel algorithm for predictive model for eye diseases using KNN with
machine learning algorithms and artificial intelligence (AI). The aims are to evaluate the connection between the accumulated preoperative risk variables and different eye diseases and to manufacture a model that can anticipate the results on an individual level, thus giving relevance to impactful
factors and geographic and demographic features. Risk factors of the desired diseases were calculated and machine learning algorithm applied to provide the prediction of the diseases. Health monitoring is an economic discipline that focuses on the effective allocation of medical resources,
mainly to maximize the benefits of society to health through the available resources. With the increasing demand for medical services and the limited allocation of medical resources, the application of health economics in clinical practice has been paid more and more attention, and it has
gradually played an important role in clinical decision-making.
Application of Computed Tomography Image Information Technology Based on Optimized Discrete Cosine Transform Filtering Algorithm in Diagnosis of Gastric Neuroendocrine Tumors
Authors: Cheng Qian , Liao Lianggong , Tan Ting , Zeng Chuan
Published: October 2020

Objective: To investigate the clinicopathological characteristics and CT manifestations of gastric neuroendocrine tumors using an optimized DCT filtering algorithm. Methods: An optimized DCT filtering algorithm was used to retrospectively analyze the CT image data and
clinical pathological data of 31 patients with gastric neuroendocrine tumors. Results: Of the 31 patients, 23 were male and 8 were female, with a median age of 63 years. There were 4 cases of clinical type I, the lesions were located on the major curve side in 3 cases, and the minor
curve side in 1 case; 3 cases had CT with polypoid moderately enhanced nodules, and 1 case was missed; pathological grades were all G1 grade; the maximum diameter of the lesion was 1.7∼6.3 cm, average 1.1 cm. There were 2 cases of clinical type II, 1 case was polypoid on the gastric fundus,
grade G1; 1 case was on the gastric antrum, CT showed mild gastric wall thickening, grade G2, with liver metastasis. There were 25 cases of clinical type III, 14 cases of cardia gastric fundus, 4 cases of small curvature of the gastric body, 3 cases of large curvature of the gastric body,
and 4 cases of gastric antrum; CT signs showed localized thickening of the gastric wall and 3 cases of gastric wall focal 15 cases were irregularly thickened gastric wall with or without soft tissue masses, 6 of which had ulcers on the surface; the largest diameter of the lesions was 1.7 to
6.3 cm with an average of 4.5 cm; the density of the lesions was 11 and 14 were uneven; The enhanced scan showed significant enhancement in 16 cases, moderate enhancement in 9 cases, uniform enhancement in 8 cases, and uneven enhancement in 17 cases, of which the enhancement peak was located
in the arterial phase; 25 cases were all grade G3, 10 were local lymph node metastases, and 4 were liver metastases. There were 4 cases of liver metastasis with local lymph node metastasis, and 1 case of intraperitoneal implantation with local lymph node metastasis. Conclusion: The
optimized DCT filtering algorithm can enumerate the CT features of gastric neuroendocrine tumors with different clinical and pathological types. The combination of clinical and CT data is valuable for preoperative diagnosis.
Elimination of Multicollinearity in Continuous Non-Invasive Blood Pressure Approximation by Information Criterion
Authors: Bose S. Sree Niranjanaa , Kandaswamy A.
Published: October 2020

Continuous and unobtrusive method of measuring blood pressure has been gaining more attention in the healthcare community. With the application of data analysis techniques in biosignals like Electrocardiogram (ECG) and Photoplethysmogram (PPG), several predictors are obtained that correlates
well with the blood pressure. But the BP approximation regression models formed using these predictors suffers from multicollinearity (higher correlation between predictors). The article proposes the use of information criterion-based model ensemble approach to reduce the effect of multicollinearity
in the continuous BP estimation. The study focuses on forming pool of candidate models from feature subsets. The best performing models are selected based on information criterion and combined to form the ensemble model. Experiments with performed with MIMIC-II dataset that consists of 104
records with simultaneously recorded PPG and arterial BP. The results suggest that the technique achieves Mean Absolute Error (MAE) of 5.81 mm Hg and 3.35 mm Hg for systolic and diastolic BP and Root Mean Square Error (RMSE) of 6.08 mm Hg and 4.12 mm Hg for systolic and diastolic BP respectively.
The error measures conform to the standards set by American Association of Medical Instrumentation (AAMI). The method reveals that the ensemble model based on information criterion outperforms well compared to the usage of single model.
Adoption of Pelvic Floor Ultrasonography Under Fuzzy Theory and Wavelet Transform Algorithm in Subtype Diagnosis of Bladder Prolapse
Authors: Zhang Guiping , Zhou Lili , Zhang Xiao , Gao Xiaoli , Li Lingling
Published: October 2020

In order to improve the treatment accuracy of patients with different subtypes of bladder prolapse (BP), the value of ultrasonic images based on fuzzy theory (FT) and wavelet transform (WT) algorithm for detection and classification of subtypes of BP was discussed. First, the effects
of fuzzy enhancement (FE) algorithm, WT enhancement algorithm, and FT combined wavelet algorithm on medical ultrasonic images were compared. Then, 144 cases of BP patients admitted to our hospital from October 2017 to October 2019 were selected as study objects. Ultrasound technology was used
to examine the patient's bottom information. Finally, the data of posterior urethra-vesical angle (PUVA), rotation angle (RA) of urethra, mobility of bladder neck, lowest point of bladder and lowest point of posterior wall of bladder were measured under resting and Vslsalva conditions. According
to Green classification, different subtypes of bladder prolapse were distinguished by the measurement data of pelvic floor (PF) ultrasound image. The clinical characteristics of Stress Urinary Incontinence (SUI), dysuria, and frequent urination of subtypes of BP were compared. The results
showed that the ultrasonic image quality was the best by combining FT with WT; BP type II PUVA was more than 140°, BP type III PUVA was less than 140°, and the difference between the two was statistically significant (P < 0.05); the lowest point of the bladder in patients
with type III BP was significantly higher than that in patients with type II BP (P < 0.05), and the neck mobility of type III bladder and the lowest point of the posterior wall of the bladder were significantly lower than that in patients with type II BP (P < 0.05); the
difference of urethral RA between type II and type III of BP was not statistically significant (P > 0.05); the incidence of SUI in patients with type II BP was higher than that of type III BP (P < 0.05), and the incidence of dysuria in patients with type III BP was higher
than that of type II BP (P < 0.05); the incidence of urinary frequency in patients with type II and type III BP was not statistically significant (P > 0.05), which showed that PF ultrasound based on FT and WT algorithm could effectively detect and identify different subtypes
of BP.
The Role of Diffusion Tensor Imaging According to Tensor Registration Algorithm in the Treatment of Neonatal Hypoxic-Ischemic Encephalopathy
Authors: Zhang Piqiang , Liu Hong , Sun Xuemei , Li Hongjuan
Published: October 2020

This research aimed to analyze the diagnostic value of diffusion tensor imaging (DTI) based on tensor image registration algorithm for hypoxia-ischemic encephalopathy (HIE). In this study, 90 newborns diagnosed with HIE who were admitted to our hospital from October 30, 2016 to January
30, 2019 were selected as experimental group (EG) and were divided into mild group (EG 1), moderate group (EG 2), and severe group (EG 3). In addition, 45 normal newborns of the same period were selected as the control group (CG). All subjects underwent DTI, which was processed by image registration
algorithm, and the regions of interest (ROIs) were manually selected, including anterior limb of internal capsule (ALIC), posterior limb of internal capsule (PLIC), frontal white matter (FWM), centrum semiovale, corpus callosum (CC), and lenticular nucleus. Fractional anisotropy (FA) values
for each ROI were recorded. Receiver operating characteristic (ROC) curve was used to analyze the accuracy, sensitivity, specificity, and area under curve (AUC) of each ROI in diagnosing HIE. The results showed that the images processed by the registration algorithm were clearer than the original
images, the signal-to-noise ratio (SNR) was increased, and the artifact was decreased, so that the lesions of newborns with HIE could be clearly observed. FA values in some ROIs in EG were significantly lower than those in CG (P < 0.05). FA values of all ROIs in the EG 3 were significantly
lower than those in the EG 1 and the EG 2, with significant differences (P < 0.05). The FA values of the ALIC, the PLIC, and the centrum semiovale in the EG 2 were significantly lower than those in the EG 1, with significant differences (P < 0.05). The accuracy, sensitivity,
specificity, and AUC area of the ALIC were higher, that is, 87.6%, 87.7%, 89.6%, and 0.879, respectively, indicating that with the aggravation of the condition of HIE, the morphological damage of the white matter fiber bundle became more serious and the FA value decreased. Therefore, DTI imaging
is safe and feasible in the diagnosis of HIT lesions, especially with high accuracy, sensitivity, and specificity in the ALIC and FWM.