bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prophylactic efficacy on periprosthetic bone loss in calcar region after total hip arthroplasty of antiosteoporotic drugs: a network meta-analysis of randomised controlled studies
Authors: Chen Xi , Shen Yu , Ye Chenyi , Mumingjiang Yishake , Lu Jinwei , Yu Yunxian 
Published: February 2020

ABSTRACTObjectivesThe aim of this study was to evaluate the effect of antiosteoporotic drugs on preventing periprosthetic bone loss in calcar 6 and 12 months after total hip arthroplasty.MethodsThe network meta-analysis was conducted guided by the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guideline. A systematic literature search was conducted and 21 studies that enrolled a total of 955 patients with 9 antiosteoporotic drugs met the inclusion criteria. Network meta-analysis and conventional meta-analysis were carried out for calculating standard mean difference (SMD) and the surface under cumulative ranking curve (SUCRA) of the bone mineral density (BMD) in calcar (Gruen zone 7) as well as bone turnover markers (BTMs) including bone-specific alkaline phosphatase (BSAP) and collagen type I cross-linked N telopeptide (NTX) at 6 and 12 months between different antiosteoporotic drugs.ResultsAt 6 months after total hip arthroplasty, zoledronate (SUCRA=86.4%), risedronate (SUCRA=51.3%) and etidronate (SUCRA=44.5%) were effective in retaining BMD in calcar; zoledronate was significantly more effective than etidronate (SMD=0.65, 95% CI 0.03 to 1.27). Teriparatide (SUCRA=84.5%), denosumab (SUCRA=82.5%), zoledronate (SUCRA=69.2%), alendronate+alfacalcidol (SUCRA=66.2%) and etidronate (SUCRA=51.5%) were the top five drugs in retaining BMD in calcar at 12 months after total hip arthroplasty and the efficacy were comparable. After simultaneously excluding studies in which the prosthesis were cement and the drug dosages as well as treatment durations were inconsistent with those in treating osteoporosis, the above results were robust with the exception that alendronate showed significant efficacy compared with placebo (SMD=1.22, 95% CI 0.46 to 1.99) and was comparable with those effective drugs at 12 months. Long-term residual effect was corroborated only in etidronate, alendronate and zoledronate from previous studies. BTMs were significantly decreased as early as 6 months (SMD of BSAP −0.49, 95% CI −0.84 to −0.13; SMD of NTX −0.93, 95% CI −1.21 to −0.64) and sustained until 12 months (SMD of BSAP −0.27, 95% CI −0.50 to −0.03; SMD of NTX −0.84, 95% CI −1.11 to −0.56) during the prophylaxis.ConclusionsAntiosteoporotic drugs showed prophylactic efficacy on periprosthetic bone loss after total hip arthroplasty in calcar, the effectiveness varied. Zoledronate was the best recommendation due to its optimal efficacy both within 6 and 12 months as well as its residual effect in the long term. BTMs could be used as indicators for monitoring through the treatment. More head-to-head clinical trials are needed to confirm those findings.
Review of single clustering methods
Authors: Muhamad Mahfuz Nurshazwani , Yusoff Marina , Ahmad Zakiah 
Published: March 2020

<div style="’text-align: justify;">Clustering provides a prime important role as an unsupervised learning method in data analytics to assist many real-world problems such as image segmentation, object recognition or information retrieval. It is often an issue of difficulty for traditional clustering technique due to non-optimal result exist because of the presence of outliers and noise data. This review paper provides a review of single clustering methods that were applied in various domains. The aim is to see the potential suitable applications and aspect of improvement of the methods. Three categories of single clustering methods were suggested, and it would be beneficial to the researcher to see the clustering aspects as well as to determine the requirement for clustering method for an employment based on the state of the art of the previous research findings.</div>
Expert Judgment Z-Numbers as a Ranking Indicator for Hierarchical Fuzzy Logic System
Authors: Bakhtiar bin Rodzman Shaiful , Kamal Ismail Normaly , Abd Rahman Nurazzah , Ahmad Aljunid Syed , Mohamed Nor Zulhilmi , Naim Ku Khalif Ku Muhammad 
Published: March 2020

<p>In this article, the researchers main contribution is to investigate three factors which may correlate in implementation of Expert Judgment Z-Numbers as new Fuzzy Logic Ranking Indicator such as: expert relevance judgment or score, the expert confidence and the level of expertise. The Expert Judgment Z-Numbers then will be an input to the Hierarchical Fuzzy Logic System of Domain Specific Text Retrieval, along with other indicators such as Ontology BM25 Score, Fabrication Rate, Shia Rate and Positive Rate of hadith document. The results showed, the proposed system, with the additional new indicator of Expert Judgment Z-Numbers, may improve the original BM25 ranking function, by yielding better results on 26 queries, on all evaluation metrics that are measured in this research such as P@10, %no measures and MAP, and has achieved better results in 28 queries on P@10 alone, compared to the BM25 original score, that only yield better results in 2 queries on all evaluation metrics, and also yield better results in 4 queries on the MAP alone. The results proved that the proposed system has a capability to utilize the expert confidence and their relevant judgment that are represented in Z-Number, as an indicator to optimize the existing ranking function system and has a potential for a further research to be conducted on these domains. For the future works, the researchers would like to enhance this research by including a variety of expert’s level confidence and their judgment, also a new calculation to represent the value of Z-Numbers.</p>
Multi-verse optimization based evolutionary programming technique for power scheduling in loss minimization scheme
Authors: Hazim Lokman Muhamad , Musirin Ismail , Izwan Suliman Saiful , Suyono Hadi , Nur Hasanah Rini , Azma Syed Mustafa Sharifah , Zellagui Mohamed 
Published: March 2020

<span style="font-size: 9pt; font-family: 'Times New Roman', serif;" lang="EN-US">The growth of computational intelligence technology has witnessed its application in numerous fields. Power system study is not left behind as far as computational intelligence trend is concerned. In power system community, optimization process is one of the crucial efforts for most remedial action to maintain the power system security. Basically, power scheduling refers to prior to fact action(such as scheduling generators to generate certain powers for next week). Power scheduling process is one of the most important routines in power systems. Scheduling of generators in a power transmission system is an important scheme; especially its offline studies to identify the security status of the system. This determines the cost effectiveness in power system planning. This paper investigates the performance of multi-verse based evolutionary programming(lowest EP) technique in the application of power system scheduling to ensure loss is gained by the system. Losses in the system can be controlled through this implementation which can be realized through the validation on a chosen reliability test system as the main model. Validation on </span><span style="font-size: 10.0pt; font-family: 'Times New Roman','serif'; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">IEEE 30-Bus Reliability Test System resulted that both techniques are reliable and robust in addressing this issue.</span><p class="MsoTitle"> </p>
Feature selection for human membrane protein type classification using filter methods
Authors: Anak Kaya Glenda , Mohamad Kamal Nor Ashikin 
Published: March 2020

<span lang="EN-US">As the number of protein sequences in the database is increasing, effective and efficient techniques are needed to make these data meaningful. These protein sequences contain redundant and irrelevant features that cause lower classification accuracy and increase the running time of the computational algorithm. In this paper, we select the best features using Minimum Redundancy Maximum Relevance(mRMR) and Correlation-based feature selection(CFS) methods. Two datasets of human membrane protein are used, S1 and S2. After the features have been selected by mRMR and CFS, K-Nearest Neighbor(KNN) and Support Vector Machine(SVM) classifiers are used to classify these membrane proteins. The performance of these techniques is measured using accuracy, specificity and sensitivity. and F-measure. The proposed algorithm managed to achieve 76% accuracy for S1 and 73% accuracy for S2. Finally, our proposed methods present competitive results when compared with the previous works on membrane protein classification</span><span>.</span>
The effect of training given to parents with mentally disabled children on their life satisfaction self-stigma of seeking help depression and stress-coping styles
Authors: Yildirim Gulay , Ertekin Pinar Sukran , Ucuk Sultan , Duran Aksoy Ozlem , Ersan Etem Erdal 
Published: February 2020

Background: It is important to identify problem areas of parents with mentally disabled children, to support them, to address their stress sources and to effectively cope with them. The aim of this study is to evaluate the effect of training given to parents with mentally disabled children on their life satisfaction, self-stigma of seeking help, depression and stress-coping styles. Material: Families with disabled children who continued their education at the Special Education Centers in Sivas created the sample of this pre- and post-test study (with control group). The data were collected with the Satisfaction With Life Scale (SWLS), the Beck Depression Inventory (BDI), the Self-Stigma of Seeking Psychological Help Scale (SSPHS) and the Ways of Coping Questionnaire (WCQ). The scales were re-applied to the experimental group ( n = 75) after the application of scales and 5-week training. Individuals in the control group were not given any training. The Mann–Whitney U test, t test and Kruskal–Wallis variance analysis were used in the evaluation of the data. Results: The mean SWLS score was 19.14 ± 7.24 (min: 3; max: 31) before the training and 21.68 ± 7.39 (min: 6; max: 35) after the training. The mean BDI score was 16.92 ± 10.84 (min: 1; max: 60) before the training and 10.24 ± 7.77 (min: 0; max: 33) after the training. The mean SSPHS score was 58.18 ± 9.96 (min: 32; max: 82) before the training and 52.65 ± 14.28 (min: 28; max: 84) after the training. The mean optimistic approach score of SSPHS was 9.73 ± 2.67 (min: 2; max: 15) before the training and 10.58 ± 2.19 (min: 4; max: 15) after the training. It was determined that the difference between mean scores of the control group before and after the training was not significant ( p > .05). Conclusion: The training has positively affected the decrease in depression and self-stigmatization, and the increase in life satisfaction and stress-coping styles after the training. It is recommended to plan research studies to identify the need for support of parents, and to structure the trainings to be given according to the results of the educational intervention researches.
Association between energy drink consumption, depression and suicide ideation in Korean adolescents
Authors: Kim Hun , Park Junha , Lee Seungryul , Lee Sang Ah , Park Eun-Cheol 
Published: February 2020

Background: Suicide is the leading cause of death among adolescents in South Korea. Negative influences of the abuse of energy drinks on mental health problems have emerged. Aims: This study aimed to analyze the relationship between energy drink consumption, depression and suicide ideation. Methods: We analyzed the data of 26,346 boys and 26,966 girls who participated in the 2015 Korean Youth Risk Behavior Web-Based Survey. The independent variable was the frequency of energy drink consumption per week. Experience of depression and suicide ideation were considered as the dependent variables. Multiple logistic regression was performed. Results: An association was found between energy drink intake per week and depressive mood. Moreover, the most frequent energy drink intake (three times or more per week) group showed the highest association with depressive mood (odds ratios (ORs); boys: ORs = 1.40, 95% confidence interval (CI): 1.25–1.56; girls: ORs = 1.61, 95% CI: 1.44–1.79) and suicide ideation (boys: ORs = 1.46, 95% CI: 1.27–1.69; girls: ORs = 1.36, 95% CI: 1.20–1.55). Conclusion: We observed that consumption of excessive amounts of energy drinks is associated with depression and suicide ideation. Therefore, appropriate regulation or education is needed to prevent adolescents from experiencing adverse outcomes.
Endothelial Dysfunction and the Effect of Arginine and Citrulline Supplementation in Children and Adolescents With Mitochondrial Diseases
Authors: Al Jasmi Fatma , Al Zaabi Nuha , Al-Thihli Khalid , Al Teneiji Amal M , Hertecant Jozef , El-Hattab Ayman W 
Published: February 2020

Background: In addition to the reduced energy production, characteristic of mitochondrial disorders, nitric oxide (NO) deficiency can occur as well. The NO produced by vascular endothelial cells relaxes vascular smooth muscles, resulting in vasodilation that maintains the patency of small blood vessels and promotes blood flow through microvasculature. Endothelial dysfunction due to inability of vascular endothelium to generate enough NO to maintain adequate vasodilation can result in decreased perfusion in the microvasculature of various tissues, contributing to many complications seen in individuals with mitochondrial diseases. The amino acids arginine and citrulline are NO precursors: increasing their concentrations could potentially restore NO production. Methods: In this study, we assessed endothelial dysfunction in children and adolescents with mitochondrial diseases. We also investigated the effect of arginine and citrulline supplementation on endothelial dysfunction in these individuals. We used peripheral arterial tonometry to measure the reactive hyperemic index (RHI), which is low when there is endothelial dysfunction. Results: The results demonstrated low RHI in individuals with mitochondrial diseases, indicating endothelial dysfunction. RHI increased with arginine or citrulline supplementation suggesting that supplementation with NO precursors can improve endothelial dysfunction by enhancing NO production. Conclusions: This study is the first one to use peripheral arterial tonometry methodology in mitochondrial diseases. The results of this study provide evidence for endothelial dysfunction in mitochondrial diseases and demonstrate that arginine or citrulline supplementation can alleviate the endothelial dysfunction, providing more evidence for the potential therapeutic utility of these amino acids in mitochondrial diseases.
Effects of multicomponent primary care-based intervention on immunization rates and missed opportunities to vaccinate adults
Authors: Loskutova Natalia Y. , Smail Craig , Callen Elisabeth , Staton Elizabeth W. , Nazir Niaman , Webster Brian , Pace Wilson D. 
Published: February 2020

AbstractBackgroundAdult immunization rates are belowHealthy People 2020targets. Our objective was to evaluate the effectiveness of a multicomponent intervention to improve adult immunization rates.MethodsThis prospective interventional before-and-after non-randomized study was conducted through the American Academy of Family Physicians National Research Network with 43 primary care physicians from a large multi-specialty healthcare organization (multicomponent intervention groupn = 23; comparator groupn = 20) in the United States. The multicomponent intervention included provider reminders, quarterly provider-level performance reports, provider education, patient visual aid materials, and standing orders on adult pneumococcal, influenza, and zoster immunizations. We assessed individual and comparative provider-level vaccination rates and missed opportunities detailing concordance with targets established by Healthy People 2020 for pneumococcal, influenza, and zoster immunizations.ResultsVaccination rates increased after 12 months in intervention and comparator groups respectively for: a). influenza from 44.4 ± 16.7 to 51.3% ± 12.9% (by 6.9 percentage points,p = 0.001) and from 35.1 ± 19.1 to 41.3% ± 14.2%, (by 6.2 percentage points,p = 0.01); b). pneumococcal vaccinations in older adults from 62.8 ± 17.6 to 81.4% ± 16.6% (by 18.6 percentage points, forp < 0.0001) and from 55.9 ± 20.0 to 72.7% ± 18.4% (by 16.7 percentage points,p < 0.0001); and c). zoster from 37.1 ± 13.4 to 41.9% ± 13.1% (by 4.8 percentage points,p < 0.0001) and from 35.0 ± 18.7 to 42.3% ± 20.9% (7.3 percentage points,p = 0.001). Pneumococcal vaccinations in adults at risk did not change from baseline in intervention group (35.7 ± 19.6 to 34.5% ± 19.0%,p = 0.3) and improved slightly in comparator group (24.3 ± 20.1 to 28.2% ± 20.0%,p = 0.003). Missed opportunities reduced after 12 months, most noticeably, for: a). for influenza from 57.7 to 48.6% (by 9.1 percentage points,p < 0.0001) and from 69.7 to 59.6% (by 10.1 percentage points,p < 0.0001); b). pneumococcal vaccinations in older adults from 18.1 to 11.5% (by 6.6 percentage pointsp < 0.0001) and from 24.6 to 20.4% (by 4.3 percentage points,p < 0.0001) in intervention and comparator groups respectively.ConclusionsMulticomponent interventions show promise in improving vaccination rates and reducing missed opportunities in older adults for pneumococcal and zoster vaccines and vaccination against influenza. Provider reminders remain the most effective strategy when delivered either as a component of these interventions or alone.
Multiple aneurysms in subarachnoid hemorrhage - identification of the ruptured aneurysm, when the bleeding pattern is not self-explanatory - development of a novel prediction score
Authors: Hadjiathanasiou Alexis , Schuss Patrick , Brandecker Simon , Welchowski Thomas , Schmid Matthias , Vatter Hartmut , Güresir Erdem 
Published: February 2020

Abstract
Background
In aneurysmal subarachnoid hemorrhage (SAH) and multiple intracranial aneurysms (MIAs) identification of the bleeding source cannot always be assessed according to the hemorrhage pattern. Therefore, we developed a statistical model for the prediction of the ruptured aneurysm in patients with SAH and multiple potential bleeding sources at the time of ictus.

Methods
Between 2012 and 2015, 252 patients harboring 619 aneurysms were admitted to the authors’ institution. Patients were followed prospectively. Aneurysm and patient characteristics, as well as radiological findings were entered into a computerized database. Gradient boosting techniques were used to derive the statistical model for the prediction of the ruptured aneurysm. Based on the statistical prediction model, a scoring system was produced for the use in the clinical setting. The aneurysm with the highest score poses the highest possibility of being the bleeding source. The prediction score was then prospectively applied to 34 patients suffering from SAH and harboring MIAs.

Results
According to the statistical prediction model the main factors affecting the rupture in patients harboring multiple aneurysms were: 1) aneurysm size, 2) aneurysm location and 3) aneurysm shape. The prediction score identified correctly the ruptured aneurysm in all the patients that were used in the prospective validation. Even in the five most debatable and challenging cases assessed in the period of prospective validation, for which the score was designed for, the ruptured aneurysm was predicted correctly.

Conclusions
This new and simple prediction score might provide additional support for neurovascular teams for treatment decision in SAH patients harboring multiple aneurysms. In a small prospective sample, the prediction score performed with high accuracy but larger cohorts for external validation are warranted.
Applying the International Classification of Functioning, Disability and Health framework to determine the predictors of falls and fractures in people with osteoarthritis or at high risk of developing osteoarthritis: data from the Osteoarthritis Initiative
Authors: Soh Sze-Ee , Barker Anna L. , Morello Renata T. , Ackerman Ilana N. 
Published: February 2020

Abstract
Background
Falls are a major cause of injury and death among older people. Evidence suggests that people with osteoarthritis (OA) are at a higher risk of falls and fall-related injuries including fractures. While studies demonstrate a link between OA and falls, little is known about the pathways that link falls with demographic factors, OA impairments, activity limitations and participation restrictions. The aim of this study was to identify risk factors for falls and fractures among people with OA or at high risk of developing OA using the International Classification of Functioning, Disability and Health (ICF) framework.

Methods
A longitudinal analysis of data from the Osteoarthritis Initiative (OAI) dataset was undertaken. Participants were considered to have OA if they reported they had been diagnosed with knee or hip OA by a medical practitioner. Outcomes were self-reported falls and fractures. Potential predictors were classified using the ICF framework. Poisson regression models were used to determine the risk factors for falls and fractures.

Results
Of the 4796 participants, 2270 (47%) were diagnosed with knee and/or hip OA. A higher proportion of participants with OA reported having had falls (72% vs 63%; p < 0.0001) and fractures (17% vs 14%; p = 0.012) than those without OA. Personal factors were found to be stronger predictors of falls and fractures compared to OA impairments, activity limitations and participation restrictions in this sample of participants. After adjusting for potential covariates, self-reported history of falls was a significant predictor of both increased falls (incidence rate ratio [IRR] 1.50; 95% confidence interval [CI] 1.40, 4.60) and fracture risk (IRR 1.38; 95% CI 1.13, 1.69).

Conclusions
By applying the ICF framework, we have shown that personal factors were more likely to predict falls and fractures rather than OA impairments, environmental factors, activity limitations and participation restrictions in people with OA or at high risk of developing OA. This highlights the importance of questioning patients about their previous falls and past medical history, and using this information to focus our assessment and clinical decision-making processes.
Genetic and histopathological analysis of a case of primary intraosseous carcinoma, NOS with features of both ameloblastic carcinoma and squamous cell carcinoma
Authors: Yukimori Akane , Tsuchiya Maiko , Wada Akane , Michi Yasuyuki , Kayamori Kou , Sakamoto Kei , Ikeda Tohru 
Published: February 2020

Abstract
Background
Primary intraosseous carcinoma (PIOC), NOS is an odontogenic carcinoma with unknown etiology. Its diagnosis may be used when central jaw carcinoma cannot be categorized as any other type of carcinoma. Further information on this extremely rare tumor is needed to improve our understanding and evaluate the classification of odontogenic carcinomas.

Case presentation
We herein presented two patients with PIOC, NOS with different clinical and histopathological features and analyzed gene mutations in these patients using next-generation sequencing (NGS). The typical PIOC, NOS case had many histopathological similarities to oral squamous cell carcinoma (OSCC), including the missense point mutations of TP53 Glu285Val, KDR Gln472His, and APC Pro1433Leu, which are similar to those in other cancers; however, no mutations were detected in the other patient with an atypical presentation of PIOC, NOS, which was derived from a precursor cystic lesion with similarities to both ameloblastic carcinoma and OSCC.

Conclusions
Genetic analysis suggested that these two PIOC, NOS cases have different features and can be subcategorized.