bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Exotic IWD - SVR Based Approach for Failure Prognostication in Cloud-Based Scientific Workflows
Authors: S Sridevi , Katiravan Jeevaa Katiravan Jeevaa 
Published: August 2021

Abstract
Scientific workflows deserve the emerging attention in sophisticated large-scale scientific problem-solving environments. Though a single task failure occurs in workflow based applications, due to its task dependency nature the reliability of the overall system will be affected drastically. Hence rather than reactive fault tolerant approaches, proactive measures are vital in scientific workflows. This work puts forth an attempt to concentrate on the exploration issue of structuring an Exotic Intelligent Water Drops - Support Vector Regression-based approach for task failure prognostication which facilitates proactive fault tolerance in scientific workflow applications. The failure prediction models in this study have been implemented through SVR-based machine learning approaches and its precision accuracy is optimized by IWDA and various performance metrics were evaluated. The experimental results prove that the proposed approach performs better compared with the other existing techniques.
Effect of Varying Repositioning Frequency on Prevention of Pressure Injuries in Nursing Home Residents: TEAM‐UP Cluster‐Randomized Clinical Trial Results
Authors: Yap Tracey L. , Horn Susan D. , Sharkey Phoebe D. , Zheng Tianyu , Bergstrom Nancy , Colon-Emeric Cathleen , Sabol Valerie K. , Alderden Jenny , Yap Winston Y , Kennerly Susan M. 
Published: August 2021

Abstract
Background: Pressure injuries (PrIs) cause pain and infection, lengthen institutional care, raise healthcare costs, and hasten death in nursing home (NH) residents. Repositioning residents to offload pressure on tissues is the most common prevention strategy, yetthe optimal interval remains uncertain.Objective: Investigate clinical effectiveness of three nursing-home-wide repositioning intervals (2-,3-, or 4-hours) without compromising PrI incidence in four weeks in adult nursing home residents.Design, Setting, and Participants: Anembedded pragmatic cluster randomized controlled trial was conducted in 9 NHs from a large proprietary system located in 34 states. Each NH was randomly assigned to one of three NH-wide repositioning interval Arms (every 2, 3, or 4 hours). Data were provided for 12-month Baseline and 4-week Intervention during the Turn Everyone And Move for Ulcer Prevention (TEAM-UP) study. Intervention residents were without current PrIs, had PrIrisk (Braden Score) ≥10 (low, mild, moderate, or high risk; not severe risk), and used viable 7” high-density foam mattresses.Methods: Each Arm included three NHs with assigned single repositioning interval as standard care during the 4-week Intervention. Mandatory staff education sessions were provided.A wireless patient monitoring system, using wearable single-use patient sensors, cued staff by displaying resident repositioning need on conveniently placed monitors.Primary outcome was PrI incidence; secondary outcome was staff repositioning compliance fidelity.Results: Eleven hundred residents from 9 NHs were fitted with sensors; 108 of these were ineligible for some analyses due to missing Baseline data. Effective sample size included 992 residents (mean age 78 years [SD13]; 63% female). Pressure injury incidence during the Intervention was 0.0% compared to 5.24% in Baseline, even though Intervention resident clinical risk scores were significantlyhigher (p<0.001). Repositioning compliance for 4-hour repositioning interval (95%) was significantly better than 2- (80%) or 3- (90%) hours (p<.001).Conclusions: This study contributes to understanding alternativerepositioning intervalssuggestingcurrent 2-hour protocolscan be relaxed for many without compromising PrI development. Causal link was not established between three repositioning interval treatments and primary outcome—PrIs; however, no new PrIs developed. Cueing staff may benefit repositioningimplementation; compliance improved as repositioning interval lengthened.Trial Registration: (ClinicalTrials.gov Identifier: NCT02996331).Date: 16/05/2017
Overweight Effects on Metabolic Rate, Chronic Diseases, Time Perception, Aging, and Lifespan: a Systematic Review
Authors: Oshakbayev Kuat , Bedelbayeva Gulnara , Gazaliyeva Meruyert , Dukenbayeva Bibazhar , Tordai Attila , Sabir Abdul Rakhimi 
Published: August 2021

Abstract
Background: The hypothesis that metabolic rate is inversely correlated with lifespan has long been debating. Another area of controversy is an evidence of a relationship between metabolic rate and time perception, and aging. Aim: to study the impact of overweight and food intake on metabolic rate, time-flow perception, chronic diseases, aging, lifespan; difficulties in weight loss.Methods: Design: a systematic review. Setting and Participants: Web of Science, Scopus, Science Direct, Kopernio, PubMed, Mendeley were searched for articles published from January 1979 until March 2020. The study bases on a viewpoint supported by a systematic literature review of 3612 articles published worldwide.Results: In total, 107 full-text articles were assessed for eligibility. From them, 25 articles were excluded with reasons. Overweight and food intake are the main causes of accelerating metabolic rate. By age, the body should less calorie intake due to decreasing metabolic rate. Body capability to gain weight is integral indicator of body energy reserve that depletes after weight gain. Increased metabolic rate creates a delayed time-flow perception and accelerates aging. Metabolic rate and lifespan are inversely correlated. Weight loss is a good tool to delay aging and increase lifespan. Very-low-calorie diets and to manage metabolic intoxication should use at weight loss.Conclusions: The findings support overweight with overeating increases metabolic rate that in turn delays time-flow perception, increases disease, accelerates aging, limits lifespan. For weight loss has to manage a very-low-calorie diet.
ARPVP: Attack Resilient Position-Based VANET Protocol Using Ant Colony Optimization
Authors: Maranur Jyoti , Mathapati Basavaraj 
Published: August 2021

Abstract
The position-based routing of Vehicular Ad hoc Network (VANET) vulnerable to various security attacks because of dependency on computing, control, and communication technologies. The Internet of Things (IoT)-enabled VANET application leads to the challenges such as integrity, access control, availability, privacy protection, non-repudiation, and confidentiality. Several security solutions have been introduced for two decades in two categories as cryptography-based and trust-based. Due to the high computation complexity, cryptography-based solutions are outperformed by recent intelligent trust-based mechanisms. The trust-based techniques are lightweight and effective against the well-known security threats in VANET. The objective of this paper has to design a novel position-based routing in which the conduct of vehicles assessed to accomplish reliable VANET communications. Attack Resilient Position-based VANET Protocol (ARPVP) proposed to detect and prevent malicious vehicles in the network using the trust evaluation technique and artificial intelligence (AI). In the first phase of ARPVP, the periodic self-trust assessment algorithm has designed using various trust parameters to detect unreliable vehicles in the network. In the second phase of ARPVP, the position-based route formation algorithm has designed using the AI technique Ant Colony Optimization (ACO). ACO solves the problem of reliable route formation by neglecting the attacker's using a trust-based fitness function. The trust parameters of each vehicle as mobility, buffer occupancy, and link quality parameters had measured in both phases of ARPVP. Simulation outcomes of the proposed model outperformed state-of-art protocols in terms of average throughput, communication delay, overhead, and Packet Delivery Ratio (PDR).
Dosimetric Impact of Deep Learning-Based CT Auto-Segmentation on IMRT Treatment Planning for Prostate Cancer
Authors: Kawula Maria , Purice Dinu , Li Minglun , Vivar Gerome , Ahmadi Seyed-Ahmad , Parodi Katia , Belka Claus , Landry Guillaume , Kurz Christopher 
Published: August 2021

Abstract
Background The evaluation of the automatic segmentation algorithms is commonly performed using geometric metrics, yet an evaluation based on dosimetric parameters might be more relevant in clinical practice but is still lacking in the literature. The aim of this study was to investigate the impact of state-of-the-art 3D U-Net-generated organ delineations on dose optimization in intensity-modulated radiation therapy (IMRT) for prostate patients for the first time. Methods A database of 69 computed tomography (CT) images with prostate, bladder, and rectum delineations was used for single-label 3D U-Net training with dice similarity coefficient (DSC)-based loss. Volumetric modulated arc therapy (VMAT) plans have been generated for both manual and automatic segmentations with the same optimization settings. These were chosen to give consistent plans when applying perturbations to the manual segmentations. Contours were evaluated in terms of DSC, average and 95% Hausdorff distance (HD). Dose distributions were evaluated with the manual segmentation as reference using dose volume histogram (DVH) parameters and a 3%/3mm gamma-criterion with 10% dose cut-off. A Pearson correlation coefficient between DSC and dosimetric metrics, gamma index and DVH parameters, has been calculated. Results 3D U-Net based segmentation achieved a DSC of 0.87(0.03) for prostate, 0.97(0.01) for bladder and 0.89(0.04) for rectum. The mean and 95% HD were below 1.6(0.4) and below 5(4) mm, respectively. The DVH parameters V 60/65/70 Gy for the bladder and V 50/65/70 Gy for the rectum showed agreement between dose distributions within ±5% and ±2%, respectively. The DVH parameters for prostate and prostate+3mm margin (surrogate clinical target volume) showed good target coverage for the 3D U-Net segmentation with the exception of one case. The average gamma pass-rate was 85\%. A comparison between geometric and dosimetric metrics showed no strong statistically significant correlation between these metrics. Conclusions The 3D U-Net developed for this work achieved state-of-the-art geometrical performance. The study highlighted the importance of dosimetric evaluation on top of standard geometric parameters and concluded that the automatic segmentation is sufficiently accurate to assist the physicians in manually contouring organs in CT images of the male pelvic region, which is an important step towards a fully automated workflow in IMRT.
Exploration and Validation of A Novel Inflammatory Response-Associated Gene Signature to Predict Osteosarcoma Prognosis and Immune Infiltration
Authors: Fu Yucheng , He Guoyu , Liu Zhuochao , Wang Jun , Zhang Zhusheng , Bao Qiyuan , Wen Junxiang , Jin Zhijian , Zhang Weibin 
Published: August 2021

Abstract
Background: Inflammatory response took part in the progression of tumor and was regarded as the hallmark of cancer. However, the prognostic relationship between osteosarcoma and inflammatory response-associated genes (IRGs) was unclear. This research aimed to explore the correlations between osteosarcoma prognosis and IRG signature.Methods: The inflammatory response-associated differentially expressed messenger RNAs (DEmRNAs) were screened out through Gene Expression Omnibus (GEO) and Molecular Signature Database (MSigDB) databases. Univariate and multivariate cox regression analyses were utilized to construct the IRG signature. The prognostic value of signature was investigated through Kaplan–Meier (KM) survival curve and nomogram. DEmRNAs among high and low inflammatory response-associated risks were identified and functional enrichment analyses were conducted. ESTIMATE, CIBERSORT and single-sample gene set enrichment analyses (ssGSEA) were implemented to reveal the alterations in immune infiltration. All above results were validated in Target database. Quantitative real-time PCR (qRT-PCR) analysis was applied to detect the expression of the IRGs in human osteoblast and osteosarcoma cell linesResults: The IRG signature that consisted of two genes (MYC, CLEC5A) was established. In training and validation datasets, patients with lower risk scores lived longer and the IRG signature was confirmed as the independent prognostic factor in osteosarcoma. The nomogram was constructed and the calibration curves indicated the reliability of this model. Functional analysis of risk score-associated DEmRNAs showed that immune-related pathways and functions were significantly enriched. ssGSEA revealed that 14 immune cells and 11 immune functions were significantly dysregulated. The qRT-PCR results indicated IRGs were significantly differently expressed in osteosarcoma and osteoblast cell lines.Conclusions: The novel osteosarcoma inflammatory response-associated prognostic signature was established and validated in this study. This model could serve as the biomarker and therapeutic target for osteosarcoma in the future.
Predictors of Loss Due to Pharmaceutical Fraud: Evidence From the U.S.
Authors: Timofeyev Yuriy , Hayes Susan , Jakovljevic Mihajlo 
Published: August 2021

Abstract
BackgroundGlobally and in the U.S. in particular, pharmaceutical fraud account for a large number out of all crimes in healthcare, which result into severe costs to the society The Academy of Managed Care Pharmacists (2019) estimate that pharmacy fraud is 1% of costs, therefore estimating that pharmacy fraud costs at $3.5 billion, given that pharmacy costs are $358 billion (Statista, 2021). AimThis exploratory study aims to demonstrate a fraudster’s profile as well as to estimate average consequences in terms of costs and identify the loss predictors’ hierarchy in the pharmaceutical industry in the U.S. Materials and methodsData from the Corporate Prosecution Registry and mixed-effects models are utilized for this purpose. The dataset covers years 2001-2020 and 75 cases, falling into one of the following broad sub-categories: misbranding, counterfeit, off label use of drugs, off-label use of drugs / deceptive marketing; violation of the Food, Drug and Cosmetic Act.ResultsThe main factors positively associated with loss due to pharmaceutical fraud are (i) duration of (ii) the scheme and scheme being executed at a U.S. public company. Surprisingly, presence of collusion negatively and significantly effects the cost. Potential factors include (a) principal perpetrator being a white American and/or male, and (b) number of employees at individual and organizational level respectively.ConclusionThis study empirically justifies considering loss, due to pharmaceutical fraud, from a multi-level perspective. Identified profiles of a typical fraudster helped to elaborate on specific practical recommendations aimed at pharmaceutical fraud prevention in the U.S.
A Novel Method for the Assessment of Facial Palsy in a Rat Model: the Black Light-Assisted Scoring System
Authors: Miura Takahiro , Yamamoto Yuhei , Maeda Taku , Osawa Masayuki , Ishikawa Kosuke , Funayama Emi 
Published: August 2021

Abstract
Background: Facial palsyin humans is assessed using facial nerve grading systems. However, there is no standardized tool for the objective assessment of facial palsy in rat models. Here, we propose a novel black light-assisted scoring system (BASS)to assess facial palsy in rats.Methods: BASS has three key components: blacklight, high frame rate videography (iPhone), and motion analysis software (Kinovea). The system can detect movement of a specific whisker and whisker base and automatically assesstheir angular velocity. Our study included 12 male Wistar rats: 6 with normal facial nerve function and 6 witha unilateral facial nervecrush injury. Four angular velocities were investigated using BASS to confirm the accuracy of the system and determine the best parameter to be used for BASS.Results:The total velocity value (sum of maximum protraction velocity and maximum retraction velocity)had the least variation and highest reliability of all tested velocities.Conclusions: BASS allows for repeated quantification of the whisker movements and weekly measurements of the whisker base. Our findings suggest that BASS is reliable, reproducible, and useful for the assessment of facial palsy.
Adaptive Opposition Slime Mould Algorithm
Authors: Naik Manoj Kumar , Panda Rutuparna , Abraham Ajith 
Published: August 2021

Abstract
Recently, the slime mould algorithm (SMA) has become popular in function optimization, because it effectively uses exploration and exploitation to reach an optimal solution or near-optimal solution. However, the SMA uses two random search agents from the whole population to decide the future displacement and direction from the best search agents, which limits its exploitation and exploration. To solve this problem, we investigate an adaptive approach to decide whether opposition based learning (OBL) will be used or not. Sometimes the OBL is used to further increase the exploration. In addition, it maximizes the exploitation by replacing one random search agent with the best one in the position updating. The suggested technique is called an adaptive opposition slime mould algorithm (AOSMA). The qualitative and quantitative analysis of AOSMA is reported using 29 test functions consisting of 23 classical test functions and 6 recently used composition functions from the IEEE CEC 2014 test suite. The results are compared with state-of-the-art optimization methods. Results presented in this paper show that AOSMA’s performance is better than other optimization algorithms. The AOSMA is evaluated using Wilcoxon’s rank-sum test. It also ranked one in Friedman’s mean rank test. The proposed AOSMA algorithm would be useful for function optimization to solve real-world engineering problems.
Autophagy Markers p62, LC3II and Beclin1 Correlate with Clark Levels in Melanoma Tumors
Authors: Arani Reyhaneh Hizomi , Mohammadpour Hadiseh , Moosavi Mohammad Amin , Abdollahi Alireza , Rahmati Marveh 
Published: August 2021

Abstract
BackgroundThe prognosis of melanoma depends on early diagnosis and timely treatment. Autophagy as a mechanism of degradation/recycling of cellular debris, has potential to be evaluated as prognostic biomarker in current research. MethodsIn this study, ATG5 and Beclin 1 gene expression in different Clark levels of melanoma were evaluated in a retrospective study of 10 years in the cancer institute of Tehran, Iran. The autophagy activity and the correlation with clinicopathological data were also investigated in a tissue microarray series of 52 melanomas after immunohistochemical staining for the autophagy-associated proteins p62, LC3II and Beclin1. The possibility of autophagy biomarkers were assessed by ROC curve analysis.ResultsThe patterns of ATG5 and Beclin1 gene expression are different. While ATG5 was increased in the early stage and then decreased as the stage was progressed in comparison to tumor margin, the Beclin1 expression was decreased and not altered during tumor progression. However, Beclin1 expression at the protein level was increased with tumor progression. The expression of LC3II was also raised while the p62 levels were declined as the tumor progressed, suggesting an increased autophagy activity in melanoma patients. Melanoma ulceration was positively correlated with Beclin 1 and LC3II expression and inversely correlated with p62 (p<0.05). Autophagy markers expression did not significantly correlate with melanoma mitotic rate and thickness. ConclusionsAutophagy is a potential prognostic factor in the early stage of melanoma and could be considered as a therapeutic target.
Novel Hybrid Flow Diverter for Intracranial Aneurysm
Authors: Hsiao Hao-Ming , Hung Ming-Ya , Chou Tzu-Yun , Cheng Yu-Chieh , Lin Li-Han , Huang Tzu-Yu 
Published: August 2021

Abstract
An intracranial aneurysm is a weakened area in the wall of a cerebral artery which causes abnormal localized ballooning of the blood vessel. As an aneurysm grows, it puts pressure on adjacent structures and may eventually rupture, leading to severe complications or even sudden death. The standard treatments for intracranial aneurysms include traditional craniotomy and endovascular coiling. The purpose of these treatments is to stop the blood flow to an aneurysm to reduce the risk of rupture. In recent years, another new device, "flow diverter", has gained popularity. It is placed in the parent artery to divert the blood flow away from the weakened area, isolating aneurysms from normal circulation. Although flow diverter stents have great potential, there remains clinical issues to be resolved. This paper proposes a unique hybrid flow diverter, the first of its kind in the world, for treatment of the intracranial aneurysm. The hybrid flow diverter is designed to have variable mesh densities, with the denser side facing an aneurysm to block the blood flow and the lighter side facing the artery to prevent stenosis. It is deployed in the main cerebral artery next to an aneurysm to divert the blood flow away from the weakened aneurysm. Simulation results showed that the hybrid flow diverter reduced the blood flow into an aneurysm by a whopping 75-95%. The residence time of the blood flow inside an aneurysm was 12.47 times longer with the hybrid flow diverter, which may trigger thrombogenic reaction to fill an aneurysm and thus reduce the risk of rupture.
A Secure Anonymous Authentication Protocol for IoT Based Health-care System using Wireless Body Area Network
Authors: R Shanthapriya , V Vaithianathan 
Published: August 2021

Abstract
The current technology in healthcare and its information are enhanced with IoT system. In most of IoT system, there exists a gateway between a wireless body area network (WBAN) and the internet to upload and retrieve the health information. These IoT gateways normally transmit data to a cloud. Therefore, the importance of IoT devices and health care data could be critical. Hence security constraints are required to retain the data. This paper introduces a novel concept called a secure anonymous authentication protocol with advanced encryption standard (SAAPAES) a cryptographic scheme to guarantee the security services and to protect confidential client data in the healthcare system. Our SAAPAES protocol offer the following aspects 1. Anonymous authentication, this is one of the easy and efficient way to protect patient/doctor identities from the server on cloud storage by using hash key authentication algorithm by disclosing the security aspects like password and username. 2. Patient’s health information is encrypted with SAAPAES and then uploading these data in cloud. Finally, downloading the health information from personal data assistant (PDA) in decrypted form using SAAPAES. The proposed authentication approach provides an efficient authentication mechanism with high security in the health-care system.
Comparative Study of the Efficacy of the Abbott ID Now Rapid Assay with Real Time PCR for the Diagnosis of SARS-CoV-2 RNA
Authors: Chheda Pratiksha , Tavisha Dama , Rahul Bhalerao , Jamir Bagwan , Devdatta Bhat , Shivaprakash Shashikala 
Published: August 2021

Abstract
Rapid diagnostic tests are of great importance in hospital settings during the current outbreak of SARS-CoV-2. The clinical patient management and spread of infection is critically dependent on molecular assays with shortest possible turn-around time. Here we report performance of a point of care Abbott ID NOW COVID-19 assay in comparison to routinely used real-time RT-PCR assay on 205 clinical specimens. Overall agreement of ID NOW was found to be 93.7% with positive percent agreement (PPA) of 91.8% and negative percent agreement (NPA) of 95.4%. Based on our findings, low turnaround time, minimal infrastructure need and ease of performing the assay, Abbott ID NOW COVID-19 assay can be considered as a point of care test in hospital settings.