Showing papers by "Jordan University of Science and Technology published in 2017"
Theo Vos1, Amanuel Alemu Abajobir, Kalkidan Hassen Abate2, Cristiana Abbafati3 +775 more•Institutions (305)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.
10,401 citations
Ashkan Afshin, Mohammad H. Forouzanfar, Marissa B Reitsma, Patrick J Sur +164 more•Institutions (70)
TL;DR: The rapid increase in the prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence‐based interventions to address this problem.
Abstract: BACKGROUND Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. METHOD ...
4,519 citations
Valery L. Feigin1, Amanuel Alemu Abajobir2, Kalkidan Hassen Abate3, Foad Abd-Allah4 +267 more•Institutions (138)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors (GBD) study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions as discussed by the authors.
Abstract: Summary Background Comparable data on the global and country-specific burden of neurological disorders and their trends are crucial for health-care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions. In this systematic analysis, we quantified the global disease burden due to neurological disorders in 2015 and its relationship with country development level. Methods We estimated global and country-specific prevalence, mortality, disability-adjusted life-years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) for various neurological disorders that in the GBD classification have been previously spread across multiple disease groupings. The more inclusive grouping of neurological disorders included stroke, meningitis, encephalitis, tetanus, Alzheimer's disease and other dementias, Parkinson's disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, medication overuse headache, brain and nervous system cancers, and a residual category of other neurological disorders. We also analysed results based on the Socio-demographic Index (SDI), a compound measure of income per capita, education, and fertility, to identify patterns associated with development and how countries fare against expected outcomes relative to their level of development. Findings Neurological disorders ranked as the leading cause group of DALYs in 2015 (250·7 [95% uncertainty interval (UI) 229·1 to 274·7] million, comprising 10·2% of global DALYs) and the second-leading cause group of deaths (9·4 [9·1 to 9·7] million], comprising 16·8% of global deaths). The most prevalent neurological disorders were tension-type headache (1505·9 [UI 1337·3 to 1681·6 million cases]), migraine (958·8 [872·1 to 1055·6] million), medication overuse headache (58·5 [50·8 to 67·4 million]), and Alzheimer's disease and other dementias (46·0 [40·2 to 52·7 million]). Between 1990 and 2015, the number of deaths from neurological disorders increased by 36·7%, and the number of DALYs by 7·4%. These increases occurred despite decreases in age-standardised rates of death and DALYs of 26·1% and 29·7%, respectively; stroke and communicable neurological disorders were responsible for most of these decreases. Communicable neurological disorders were the largest cause of DALYs in countries with low SDI. Stroke rates were highest at middle levels of SDI and lowest at the highest SDI. Most of the changes in DALY rates of neurological disorders with development were driven by changes in YLLs. Interpretation Neurological disorders are an important cause of disability and death worldwide. Globally, the burden of neurological disorders has increased substantially over the past 25 years because of expanding population numbers and ageing, despite substantial decreases in mortality rates from stroke and communicable neurological disorders. The number of patients who will need care by clinicians with expertise in neurological conditions will continue to grow in coming decades. Policy makers and health-care providers should be aware of these trends to provide adequate services. Funding Bill & Melinda Gates Foundation.
2,995 citations
Gregory A. Roth1, Catherine O. Johnson1, Amanuel Alemu Abajobir2, Foad Abd-Allah3 +170 more•Institutions (99)
TL;DR: The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden, finding that CVDs remain a major cause of health loss for all regions of the world.
2,525 citations
TL;DR: The number of adults with raised blood pressure increased from 594 million in 1975 to 1·13 billion in 2015, with the increase largely in low-income and middle-income countries, and the contributions of changes in prevalence versus population growth and ageing to the increase.
1,573 citations
University of Alabama at Birmingham1, College of Health Sciences, Bahrain2, University of Hohenheim3, Jimma University4, University of Queensland5, Queensland Government6, Mekelle University7, Institute for Health Metrics and Evaluation8, University of Cartagena9, Komfo Anokye Teaching Hospital10, University of Manitoba11, University of Gondar12, University of São Paulo13, Aga Khan University14, New Generation University College15, Public Health Foundation of India16, Duy Tan University17, Centers for Disease Control and Prevention18, Bielefeld University19, Swiss Tropical and Public Health Institute20, Imperial College London21, University of Basel22, Baylor College of Medicine23, Boston Children's Hospital24, Yonsei University25, Tehran University of Medical Sciences26, Jordan University of Science and Technology27, University of London28, University of Melbourne29, University of Liverpool30, Aintree University Hospitals NHS Foundation Trust31, Martin Luther University of Halle-Wittenberg32, United Nations Population Fund33, Iran University of Medical Sciences34, University of Ulm35, University of Sydney36, University of Porto37, University of British Columbia38, A.T. Still University39, Golestan University40, Harvard University41, Marshall University42, Case Western Reserve University43, University of KwaZulu-Natal44, Utkal University45, AIIMS, New Delhi46, Haramaya University47, Queensland University of Technology48, Wrocław Medical University49, Jagiellonian University Medical College50, Hanoi Medical University51, Johns Hopkins University52, National Research University – Higher School of Economics53, Norwegian Institute of Public Health54, University of Bergen55, University of Tromsø56, Karolinska Institutet57, Kyoto University58, Jackson State University59, Wuhan University60, University of Washington61
TL;DR: In this article, the authors report results of the Global Burden of Disease (GBD) 2015 study on primary liver cancer incidence, mortality, and disability-adjusted life-years (DALYs) for 195 countries or territories from 1990 to 2015, and present global, regional, and national estimates on the burden of liver cancer attributable to hepatitis B virus (HBV) and hepatitis C virus (HCV) infection and alcohol, and an “other” group that encompasses residual causes.
Abstract: Importance Liver cancer is among the leading causes of cancer deaths globally. The most common causes for liver cancer include hepatitis B virus (HBV) and hepatitis C virus (HCV) infection and alcohol use. Objective To report results of the Global Burden of Disease (GBD) 2015 study on primary liver cancer incidence, mortality, and disability-adjusted life-years (DALYs) for 195 countries or territories from 1990 to 2015, and present global, regional, and national estimates on the burden of liver cancer attributable to HBV, HCV, alcohol, and an “other” group that encompasses residual causes. Design, Settings, and Participants Mortality was estimated using vital registration and cancer registry data in an ensemble modeling approach. Single-cause mortality estimates were adjusted for all-cause mortality. Incidence was derived from mortality estimates and the mortality-to-incidence ratio. Through a systematic literature review, data on the proportions of liver cancer due to HBV, HCV, alcohol, and other causes were identified. Years of life lost were calculated by multiplying each death by a standard life expectancy. Prevalence was estimated using mortality-to-incidence ratio as surrogate for survival. Total prevalence was divided into 4 sequelae that were multiplied by disability weights to derive years lived with disability (YLDs). DALYs were the sum of years of life lost and YLDs. Main Outcomes and Measures Liver cancer mortality, incidence, YLDs, years of life lost, DALYs by etiology, age, sex, country, and year. Results There were 854 000 incident cases of liver cancer and 810 000 deaths globally in 2015, contributing to 20 578 000 DALYs. Cases of incident liver cancer increased by 75% between 1990 and 2015, of which 47% can be explained by changing population age structures, 35% by population growth, and −8% to changing age-specific incidence rates. The male-to-female ratio for age-standardized liver cancer mortality was 2.8. Globally, HBV accounted for 265 000 liver cancer deaths (33%), alcohol for 245 000 (30%), HCV for 167 000 (21%), and other causes for 133 000 (16%) deaths, with substantial variation between countries in the underlying etiologies. Conclusions and Relevance Liver cancer is among the leading causes of cancer deaths in many countries. Causes of liver cancer differ widely among populations. Our results show that most cases of liver cancer can be prevented through vaccination, antiviral treatment, safe blood transfusion and injection practices, as well as interventions to reduce excessive alcohol use. In line with the Sustainable Development Goals, the identification and elimination of risk factors for liver cancer will be required to achieve a sustained reduction in liver cancer burden. The GBD study can be used to guide these prevention efforts.
1,208 citations
TL;DR: A new hybrid model can be used to estimate the intrusion scope threshold degree based on the network transaction data’s optimal features that were made available for training and revealed that the hybrid approach had a significant effect on the minimisation of the computational and time complexity involved when determining the feature association impact scale.
484 citations
TL;DR: In this paper, the authors use the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015.
427 citations
TL;DR: A new sprayable, elastic, and biocompatible composite hydrogel, with broad-spectrum antimicrobial activity, for the treatment of chronic wounds is reported, engineered using two ECM-derived biopolymers and the antimicrobial peptide Tet213.
385 citations
Marche Polytechnic University1, United Arab Emirates University2, Obafemi Awolowo University3, John Hunter Hospital4, Rambam Health Care Campus5, University of Hawaii at Manoa6, University of Santiago de Compostela7, University of California, San Diego8, Tbilisi State Medical University9, University of Maryland, Baltimore10, Russian National Research Medical University11, Virginia Commonwealth University12, State University of Campinas13, Mansoura University14, Yonsei University15, Ruhr University Bochum16, Inje University17, University of Southern California18, Erzincan University19, University of Belgrade20, Tel Aviv University21, Foothills Medical Centre22, Kyoto University23, Edendale Hospital24, University of Helsinki25, Universidad Nacional de Asunción26, University of Washington27, Pt. B.D. Sharma PGIMS Rohtak28, University of the West Indies29, University of Colorado Denver30, University of Ilorin31, Jordan University of Science and Technology32, University of Valle33, University of São Paulo34, Ehime University35, Tan Tock Seng Hospital36, University of Bergen37, Stavanger University Hospital38, Charles University in Prague39, Radboud University Nijmegen40, Harvard University41, Chang Gung University42, Sher-I-Kashmir Institute of Medical Sciences43, Royal Perth Hospital44
TL;DR: The aim of this paper is to promote global standards of care in IAIs and update the 2013 WSES guidelines for management of intra-abdominal infections.
Abstract: Intra-abdominal infections (IAIs) are common surgical emergencies and have been reported as major contributors to non-trauma deaths in the emergency departments worldwide. The cornerstones of effective treatment of IAIs are early recognition, adequate source control, and appropriate antimicrobial therapy. Prompt resuscitation of patients with ongoing sepsis is of utmost important. In hospitals worldwide, non-acceptance of, or lack of access to, accessible evidence-based practices and guidelines result in overall poorer outcome of patients suffering IAIs. The aim of this paper is to promote global standards of care in IAIs and update the 2013 WSES guidelines for management of intra-abdominal infections.
289 citations
05 Jun 2017
TL;DR: The proposed algorithm, namely LSHADE-cnEpSin, is tested on the IEEE CEC2017 problems used in the Special Session and Competitions on Single Objective Bound Constrained Real-Parameter Single Objective Optimization and statistically affirm the efficiency of the proposed approach.
Abstract: Many Differential Evolution algorithms are introduced in the literature to solve optimization problems with diverse set of characteristics. In this paper, we propose an extension of the previously published paper LSHADE-EpSin that was ranked as the joint winner in the real-parameter single objective optimization competition, CEC 2016. The contribution of this work constitutes two major modifications that have been added to enhance the performance: ensemble of sinusoidal approaches based on performance adaptation and covariance matrix learning for the crossover operator. Two sinusoidal waves have been used to adapt the scaling factor: non-adaptive sinusoidal decreasing adjustment and an adaptive sinusoidal increasing adjustment. Instead of choosing one of the sinusoidal waves randomly, a performance adaptation scheme based on earlier success is used in this work. Moreover, covariance matrix learning with Euclidean neighborhood is used for the crossover operator to establish a suitable coordinate system, and to enhance the capability of LSHADE-EpSin to tackle problems with high correlation between the variables. The proposed algorithm, namely LSHADE-cnEpSin, is tested on the IEEE CEC2017 problems used in the Special Session and Competitions on Single Objective Bound Constrained Real-Parameter Single Objective Optimization. The results statistically affirm the efficiency of the proposed approach to obtain better results compared to other state-of-the-art algorithms.
TL;DR: The state-of-the-art approaches based on supervised machine learning are presented to address the challenges of aspect-based sentiment analysis (ABSA) of Arabic Hotels’ reviews and the SVM approach outperforms the other deep RNN approach in the research investigated tasks.
TL;DR: The soluble PPI obtained through this process may be a promising emulsifier for the enrichment of fat-soluble nutrients in foods through pH-shifting and ultrasound combined treatment.
TL;DR: This work has proposed a classification methodology to classify Focal and Non Focal EEG and found that NNge classifier gave the highest accuracy of 98%, sensitivity of 100% and specificity of 96%, which is the highest comparing to other methods in the literature.
TL;DR: The developed encryption algorithm has higher Avalanche Effect and for instance, AES in the proposed system has an Avalanche Effect of %52.50, therefore, such system is able to secure the multimedia big data against real-time attacks.
Abstract: Nowadays, multimedia is considered to be the biggest big data as it dominates the traffic in the Internet and mobile phones. Currently symmetric encryption algorithms are used in IoT but when considering multimedia big data in IoT, symmetric encryption algorithms incur more computational cost. In this paper, we have designed and developed a resource-efficient encryption system for encrypting multimedia big data in IoT. The proposed system takes the advantages of the Feistel Encryption Scheme, an Advanced Encryption Standard (AES), and genetic algorithms. To satisfy high throughput, the GPU has also been used in the proposed system. This system is evaluated on real IoT medical multimedia data to benchmark the encryption algorithms such as MARS, RC6, 3-DES, DES, and Blowfish in terms of computational running time and throughput for both encryption and decryption processes as well as the avalanche effect. The results show that the proposed system has the lowest running time and highest throughput for both encryption and decryption processes and highest avalanche effect with compared to the existing encryption algorithms. To satisfy the security objective, the developed algorithm has better Avalanche Effect with compared to any of the other existing algorithms and hence can be incorporated in the process of encryption/decryption of any plain multimedia big data. Also, it has shown that the classical and modern ciphers have very less Avalanche Effect and hence cannot be used for encryption of confidential multimedia messages or confidential big data. The developed encryption algorithm has higher Avalanche Effect and for instance, AES in the proposed system has an Avalanche Effect of %52.50. Therefore, such system is able to secure the multimedia big data against real-time attacks.
Institute for Health Metrics and Evaluation1, University of Washington2, Johns Hopkins University3, Jimma University4, Washington University in St. Louis5, Dalarna University6, Karolinska Institutet7, Teikyo University8, Baker IDI Heart and Diabetes Institute9, University of Toronto10, Public Health Agency of Canada11, University College London12, University of Gothenburg13, Stanford University14, University of Alberta15, University of São Paulo16, German Cancer Research Center17, University of Sydney18, Royal Prince Alfred Hospital19, University of Salerno20, Mario Negri Institute for Pharmacological Research21, Public Health Foundation of India22, Catholic University of Portugal23, Bielefeld University24, University Medical Center Groningen25, University of Massachusetts Boston26, Hamdan bin Mohammed e-University27, University of California, San Diego28, Yonsei University29, The George Institute for Global Health30, University of Oxford31, Heidelberg University32, South African Medical Research Council33, University of Cape Town34, Jordan University of Science and Technology35, Seoul National University36, Southern University College37, Brown University38, University of Wisconsin-Madison39, Tufts Medical Center40, San Francisco VA Medical Center41, United Nations Population Fund42, Tohoku University43, Osaka University44, Monash University45, Monash Medical Centre46, University of Milan47, University of Ulm48, Marshall University49, Universidade Federal de Santa Catarina50, Ibaraki Prefectural University of Health Sciences51, Norwegian Institute of Public Health52, University of Bergen53, University of Alabama at Birmingham54, University of Tsukuba55, Northwestern University56, Kyoto University57
TL;DR: By 2013, cardiovascular deaths attributed to reduced G FR outnumbered ESRD deaths throughout the world, and reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose as a risk factor for disability-adjusted life years in both developed and developing world regions.
Abstract: The burden of premature death and health loss from ESRD is well described. Less is known regarding the burden of cardiovascular disease attributable to reduced GFR. We estimated the prevalence of reduced GFR categories 3, 4, and 5 (not on RRT) for 188 countries at six time points from 1990 to 2013. Relative risks of cardiovascular outcomes by three categories of reduced GFR were calculated by pooled random effects meta-analysis. Results are presented as deaths for outcomes of cardiovascular disease and ESRD and as disability-adjusted life years for outcomes of cardiovascular disease, GFR categories 3, 4, and 5, and ESRD. In 2013, reduced GFR was associated with 4% of deaths worldwide, or 2.2 million deaths (95% uncertainty interval [95% UI], 2.0 to 2.4 million). More than half of these attributable deaths were cardiovascular deaths (1.2 million; 95% UI, 1.1 to 1.4 million), whereas 0.96 million (95% UI, 0.81 to 1.0 million) were ESRD-related deaths. Compared with metabolic risk factors, reduced GFR ranked below high systolic BP, high body mass index, and high fasting plasma glucose, and similarly with high total cholesterol as a risk factor for disability-adjusted life years in both developed and developing world regions. In conclusion, by 2013, cardiovascular deaths attributed to reduced GFR outnumbered ESRD deaths throughout the world. Studies are needed to evaluate the benefit of early detection of CKD and treatment to decrease these deaths.
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TL;DR: The objective is to find temporal patterns whose true prevalence values vary similar to a reference support time sequence satisfying subset constraints through estimating temporal pattern support bounds and using a novel fuzzy dissimilarity measure, named G-SPAMINE.
01 Sep 2017
TL;DR: An argument search framework for studying how people query for arguments, how to mine arguments from the web, or how to rank them is developed and a prototype search engine is built that relies on an initial, freely accessible index of nearly 300k arguments crawled from reliable web resources.
Abstract: Computational argumentation is expected to play a critical role in the future of web search. To make this happen, many search-related questions must be revisited, such as how people query for arguments, how to mine arguments from the web, or how to rank them. In this paper, we develop an argument search framework for studying these and further questions. The framework allows for the composition of approaches to acquiring, mining, assessing, indexing, querying, retrieving, ranking, and presenting arguments while relying on standard infrastructure and interfaces. Based on the framework, we build a prototype search engine, called args, that relies on an initial, freely accessible index of nearly 300k arguments crawled from reliable web resources. The framework and the argument search engine are intended as an environment for collaborative research on computational argumentation and its practical evaluation.
TL;DR: This paper presents a password-based conditional privacy preserving authentication and group-key generation (PW-CPPA-GKA) protocol for VANETs, which is lightweight in terms computation and communication since it can be designed without bilinear-pairing and elliptic curve.
TL;DR: The results suggest that TRV130 retains undesirable constipating and abuse-related effects during repeated treatment despite its bias for G-protein signaling.
Abstract: Rationale:TRV130 (oliceridine; N-[(3-methoxythiophen-2-yl)methyl]-2-[(9R)-9-pyridin-2-yl-6-oxaspiro[4.5]decan-9-yl]ethanamine) is a novel mu opioid receptor (MOR) agonist that preferentially activa...
TL;DR: This framework aims at adding an extra security level at the early stages of the CSDLC, which has been further illustrated by a case study showing the applicability of the framework.
TL;DR: This survey of the published papers on using DL techniques for NLP focuses on the Arabic language due to its importance, the scarcity of resources on it and the challenges associated with working on it to help bridge the huge gap between ANLP literature and the much richer and more mature English NLP literature.
08 May 2017
TL;DR: This paper provides an overview for one of the most popular application layer protocols that is MqTT, including its architecture, message format, MQTT scope, and Quality of Service (QoS) for the MQ TT levels.
Abstract: Internet of Things (IoT) is based on a wireless network that connects a huge number of smart objects, products, smart devices, and people It has another name which is Web of Things (WoT) IoT uses standards and protocols that are proposed by different standardization organizations in message passing within session layer Most of the IoT applications protocols use TCP or UDP for transport XMPP, CoAP, DDS, MQTT, and AMQP are grouped of the widely used application protocols Each one of these protocols have specific functions and are used in specific way to handle some issues This paper provides an overview for one of the most popular application layer protocols that is MQTT, including its architecture, message format, MQTT scope, and Quality of Service (QoS) for the MQTT levels MQTT works mainly as a pipe for binary data and provides a flexibility in communication patterns It is designed to provide a publish-subscribe messaging protocol with most possible minimal bandwidth requirements MQTT uses Transmission Control Protocol (TCP) for transport MQTT is an open standard, giving a mechanisms to asynchronous communication, have a range of implementations, and it is working on IP
TL;DR: The objective of this study was to review the distribution, identification and occurrence of free and bound phenolic compounds in oil-bearing plants.
TL;DR: A comprehensive review of population topologies developed for PSO and DE is carried out and it is anticipated that this survey will inspire researchers to integrate the populationTopologies into other nature inspired algorithms and to develop novel population topology for improving the performances of population-based optimization algorithms for solving single objective optimization, multiobjective optimization and other classes of optimization problems.
Abstract: Over the last few decades, many population-based swarm and evolutionary algorithms were introduced in the literature. It is well known that population topology or sociometry plays an important role in improving the performance of population-based optimization algorithms by enhancing population diversity when solving multiobjective and multimodal problems. Many population structures and population topologies were developed for particle swarm optimization and differential evolutionary algorithms. Therefore, a comprehensive review of population topologies developed for PSO and DE is carried out in this paper. We anticipate that this survey will inspire researchers to integrate the population topologies into other nature inspired algorithms and to develop novel population topologies for improving the performances of population-based optimization algorithms for solving single objective optimization, multiobjective optimization and other classes of optimization problems.
TL;DR: MTA partial pulpotomy sustained a good success rate over the 2‐year follow-up in mature permanent teeth clinically diagnosed with irreversible pulpitis, and the difference was statistically significant after 2 years.
TL;DR: In this article, the effect of elevated temperatures on the mechanical properties of reinforced polymer (FRP) bars and the bond behavior between FRP bars and concrete was investigated. And the results showed that the FRP bar suffered significant reduction in their mechanical properties upon exposure to high temperatures of up to 450°C at which the GFRP and BFRP melted and lost their total tensile strength capacity.
TL;DR: MTA full pulpotomy was a successful treatment option for cariously exposed pulps in mature permanent molar teeth in patients aged 11-51 years with carious exposures.
Abstract: Aim
To assess the outcome of mineral trioxide aggregate (MTA) complete pulpotomy in permanent teeth with carious exposures.
Methodology
Fifty-two permanent molar teeth with fully developed roots and vital pulps in 43 patients aged 11–51 years were included. Preoperative pulpal and periapical diagnosis was established. After informed consent, each tooth was anaesthetized, isolated with dental dam and disinfected with 5% NaOCl before caries excavation; subsequently, a full pulpotomy was performed. Haemostasis was achieved, and Grey MTA (Angelus, Londrina, Brazil) was placed as the pulpotomy agent; a moist cotton pellet was placed, and the tooth was temporized with the intermediate restorative material (IRM). Permanent restorations were placed 1 week later if the tooth was asymptomatic, and a postoperative periapical radiograph was taken. Clinical and radiographic evaluation was completed at 3 months, 6 months, 1 year and 3 years postoperatively.
Results
Clinical signs and symptoms suggestive of irreversible pulpitis were established in 44/52 teeth, and periapical rarefaction was present in 14 teeth. Immediate failure occurred in one tooth. The recall rate ranged from 92% at 3 months to 80.3% at 3 years, with an overall 100% clinical and 97.5% radiographic success during the first year, and 92.7% success at 3 years. All cases with periapical rarefaction were associated with improvement in the periapical index (PAI) score. Two cases had new periapical rarefaction associated with dislodgment of the permanent restoration. A hard tissue barrier was detected radiographically in 5 cases and canal narrowing in 7 cases.
Conclusion
MTA full pulpotomy was a successful treatment option for cariously exposed pulps in mature permanent molar teeth.
TL;DR: Examination of associations among the nursing work environment, nurse job satisfaction, and intent to stay for nurses who practice in hospitals in Jordan found the work environment was positively associated with nurses' intent toStay and job satisfaction.
Abstract: Purpose
The purpose of this study was to examine associations among the nursing work environment, nurse job satisfaction, and intent to stay for nurses who practice in hospitals in Jordan.
Design
A quantitative descriptive cross-sectional survey design was used.
Methods
Data were collected through survey questionnaires distributed to 650 registered nurses (RNs) who worked in three hospitals in Jordan. The self-report questionnaire consisted of three instruments and demographic questions. The instruments were the Practice Environment Scale of the Nursing Work Index (PES-NWI), the McCain Intent to Stay scale, and Quinn and Shepard's (1974) Global Job Satisfaction survey. Descriptive statistics were calculated for discrete measures of demographic characteristics of the study participants. Multivariate linear regression models were used to explore relationships among the nursing work environment, job satisfaction, and intent to stay, adjusting for unit type.
Findings
There was a positive association between nurses’ job satisfaction and the nursing work environment (t = 6.42, p < .001). For each one-unit increase in the total score of the PES-NWI, nurses’ average job satisfaction increased by 1.3 points, controlling for other factors. Overall, nurses employed in public hospitals were more satisfied than those working in teaching hospitals. The nursing work environment was positively associated with nurses’ intent to stay (t = 4.83, p < .001). The Intent to Stay score increased by 3.6 points for every one-unit increase in the total PES-NWI score on average. The highest Intent to Stay scores were reported by nurses from public hospitals.
Conclusions
The work environment was positively associated with nurses’ intent to stay and job satisfaction. More attention should be paid to create positive work environments to increase job satisfaction for nurses and increase their intent to stay.
Clinical Relevance
Hospital and nurse managers and healthcare policymakers urgently need to create satisfactory work environments supporting nursing practice in order to increase nurses’ job satisfaction and intent to stay.
TL;DR: Comprehensive comparison of the proposed heuristic over a challenging set of benchmarks from the CEC2014 real parameter single objective competition against several state-of-the-art algorithms is performed and results affirm robustness ofThe proposed approach compared to other state of theart algorithms.
Abstract: Developing efficient evolutionary algorithms attracts many researchers due to the existence of optimization problems in numerous real-world applications. A new differential evolution algorithm, ${s}$ TDE- ${d}\text{R}$ , is proposed to improve the search quality, avoid premature convergence, and stagnation. The population is clustered in multiple tribes and utilizes an ensemble of different mutation and crossover strategies. In this algorithm, a competitive success-based scheme is introduced to determine the life cycle of each tribe and its participation ratio for the next generation. In each tribe, a different adaptive scheme is used to control the scaling factor and crossover rate. The mean success of each subgroup is used to calculate the ratio of its participation for the next generation. This guarantees that successful tribes with the best adaptive schemes are only the ones that guide the search toward the optimal solution. The population size is dynamically reduced using a dynamic reduction method. Comprehensive comparison of the proposed heuristic over a challenging set of benchmarks from the CEC2014 real parameter single objective competition against several state-of-the-art algorithms is performed. The results affirm robustness of the proposed approach compared to other state-of-the-art algorithms.