bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving patient safety through identifying barriers to reporting medication errors among nurses: an integrative review
Authors: Afaya Agani , Konlan Kennedy Diema , Do Hyunok Kim 
Published: February 2021

Abstract
Background: The aim of the third WHO challenge released in 2017 was to attain a global commitment to lessen the severity and to prevent medication-related harm by 50% within the next five years. To achieve this goal, comprehensive identification of barriers to reporting medication errors is imperative.Objective: This review aimed to identify studies that investigated barriers to reporting medication administration errors among nurses, systematically summarize the findings to make recommendations for improving error reporting, and for future investigation.Design: An integrative review Review methods: PubMed, Web of Science, EMBASE and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) including Google scholar were searched to identify published studies on barriers to medication error reporting from January 2016 to December 2020. The reviewers independently assessed the quality of all the included studies using the Mixed Methods Appraisal Tool (MMAT) version 2018.Results: Of the 10937 articles reviewed, 14 studies were included. The main themes and subthemes identified after the integration of results from qualitative and quantitative studies were; organizational barriers (inadequate reporting systems, management behavior, and unclear definition of medication error), and professional and individual barriers (fear of management/colleagues/lawsuit, individual reasons and inadequate knowledge of errors).Conclusion: It is not expected that nurses will freely report medication errors in a fearful, punitive, and blaming culture. Providing an enabling environment void of punitive measures and blame culture is imperative for nurses to report medication errors. To minimize the burden on nurses reporting medication errors, an effective, non-time consuming, and uncomplicated anonymous system is required. An open feedback system for motivating or rewarding nurses for reporting medication errors is imperative and will therefore increase the rate of error reporting. Policymakers, managers, and nurses should agree on a uniform definition of what constitutes medication error to enhance nurses' ability to report.
The neural mechanism by which fatigue sensation suppresses physical performance: a magnetoencephalography study
Authors: Matsuo Takashi , Ishii Akira , Minami Takayuki , Nanjo Hitoshi , Yoshikawa Takahiro 
Published: February 2021

Abstract
The right dorsolateral prefrontal cortex (DLPFC) has been proposed to be the brain region regulating performance through fatigue sensation in fatigue, but direct evidence has been lacking for right DLPFC activation when physical performance is suppressed in the presence of fatigue sensation. We examined whether the right DLPFC is activated when physical performance is suppressed by re-experiencing a fatigue sensation. Eighteen healthy male volunteers participated. They performed a rest session followed by a handgrip session to induce physical fatigue sensation. Then, they were instructed to re-experience the state of the right hand with (i.e., the target condition) and without (i.e., the control condition) fatigue sensation as experienced in the handgrip and rest sessions, respectively, while performing motor imagery of maximum handgrip of the right hand. Neural activity during both conditions was recorded using magnetoencephalography. The level of fatigue sensation was higher in the target condition than in the control condition. Decreases of handgrip strength and beta band power in the right Brodmann’s area 46 were observed in the target condition, suggesting that the right DLPFC is involved in the regulation of physical performance through fatigue sensation. These findings may help elucidate the neural mechanisms regulating performance under fatigue conditions.
Distributed multiple-bipartite consensus in networked Lagrangian systems with cooperative-competitive interactions
Authors: Zhang Tiehui , Li Hengyu , Liu Jun , Lu Daowei , Xie Shaorong , Luo Jun 
Published: February 2021

Abstract
In combination with the collective behavior evolutions of bipartite consensus and cluster/group consensus, this paper proposes the notion of multiple-bipartite consensus in networked Lagrangian systems (NLSs). The distributed leaderless and leader-following multiple-bipartite consensus control laws for NLSs are presented in the cooperative-competitive network, where the negative interactions between agents can exist in the same subnetwork. By introducing an acyclic partition and adding the integral item in the control protocols, the final explicit convergence states in the leaderless case are eventually obtained. Moreover, the leader-following scenario can be realized in fifinite time with integrated controllers. All of the effectiveness has been illustrated through numerical simulations.
Mobile App Usage Pattern prediction using Hierarchical Flexi-Ensemble Clustering (HFEC) for Mobile Service Rating
Authors: Priyanga P. , Kamal A. R. Nadira Banu 
Published: February 2021

Abstract
Background: Nowadays, the mobile app market becomes rapidly increased in world wide. The mobile app marketers have smart enough to understand the requirements and demands of customers and perform their aspirations. They delight them. It provides growth, profitability, and creativity with lot of inventions. The main aim of this research is to analyze the customer interest and preferences of mobile service providers.Methodology: This paper proposed the clustering model named as Hierarchical Flexi-Ensemble Clustering (HFEC). It provides the final result with robustness and improved quality. Before clustering, the unwanted features are removed by using the Genetic Algorithm based on the Collective Materials (GACM) technique. The customer preferences are analyzes with the clustering of mobile usage patterns. Results: The analysis determined that the app usage pattern based on the most frequent word, rating category, rating character count, rating word count and content-based rating in the google play store app dataset. Finally, the results are compared with the existing methods to analyze the superior performance of proposed method. The comparison analysis is estimated based on the based on the average hit rate at different cache sizes.Conclusion: The work is concluded with the app pattern prediction in the form of clustering for app marketing service. From the marketing side, they can analyze the customer preferences and satisfaction.
Low Socioeconomic Status is a Risk Factor for Delay to Treatment and Mortality of Testicular Cancer Patients in Hungary. A Prospective Study
Authors: Küronya Zsófia , Fröhlich Georgina , Ladányi Andrea , Martin Tamás , Géczi Lajos , Gyergyai Fruzsina , Horváth Orsolya , Kiszner Gergő , Kovács Ágnes , Dienes Tamás , Lénárt Enikő , Nagyiványi Krisztián , Szarvas Tibor , Szőnyi Mihály , Tóth Attila , Biró Krisztina 
Published: February 2021

Abstract
Background. In Hungary, the mortality rate for testicular germ cell cancer (TGCC) is 7.6% which is significantly higher than the EU average. We prospectively evaluated the effect of socioeconomic status on patient delay, doctor’s delay, and therapy outcomes.Methods: Questionnaires on subjective (MacArthur Subjective Status Scale), objective (wealth, education, and housing data) social status, and on patient’s and doctors’ delays were completed by newly diagnosed TGCC patients.Results: Patients belonged to a relatively high socioeconomic class, a university degree was double the Hungarian average, Cancer-specific mortality in the highest social quartile was 1.56% while in the lowest social quartile 13.09% (p=0.02). In terms of patient delay, 57.2% of deceased patients waited more than a year before seeking help, while this number for the surviving patients was 8.0% (p=0.0000). Longer patient delay was associated with a more advanced stage in non-seminoma but not in seminoma, the correlation coefficient for non-seminoma was 0.321 (p<0.001). For patient delay, the most important variables were the mother’s and patient’s education levels (r=-0.21, p=0.0003, and r=-0.20, p=0.0005), respectively. Since the patient delay was correlated with the social quartile and resulted in a more advanced stage in non-seminoma, the lower social quartile resulted in higher mortality in non-seminoma patients (p=0.005) but not in seminoma patients (p=0.36) where the patient delay was not associated with a more advanced stage.Conclusions: Based on our result, we conclude that to improve survival, we should promote testicular cancer awareness, especially among the most deprived populations, and their health care providers.
Results from the first Culturally Tailored, Multidisciplinary Diabetes Education in Lebanese Adults with Type 2 Diabetes: Effects on Self-Care and Metabolic Outcomes.
Authors: Sukkarieh-Haraty Ola , Egede Leonard E. , Khazen Georges , Kharma Joelle Abi , Farran Natali , Bassil Maya 
Published: February 2021

Abstract
Objective: This pilot-study tested the effect of culturally-tailored education targeting diabetes self-care on glycemia and cardiovascular risk factors of Lebanese with type 2 diabetes (T2DM). Methods: A sample of 27 adults (Age: 61±10yrs, 59% males, HbA1c:8.98±1.38%) with T2DM was recruited from primary health care centers in Beirut. Participants received culturally tailored, multidisciplinary education. Scales assessing self-care, social support, fatalism, and diabetes knowledge, as well as anthropometric measures, and blood samples were collected at baseline, 3-months and 6-months post- intervention. Results: Diabetes self-care (Diet, Self-Monitoring Blood Glucose and foot care) improved after 6 months, which was reflected in a significant drop in glycemic level (HbA1c:-0.5%; FPG: -38 mg/dl), and cholesterol/HDL ratio (4.45±1.39 vs. 4.06±1.29). Waist circumference decreased at 6 months compared to 3 months (p<0.05). Conclusion: This is the first effective culturally-tailored intervention that improved self-care, glycemic control, body adiposity and blood lipids of Lebanese with T2DM. Larger scale implementation with representative sample is warranted.
Impact Of Social Capital , Gender And Education On The Utilization Of Public Health Services: A Cross Sectional Study Based On The China Migrant Dynamic Survey
Authors: Yang Zhen , Jiang Chenghua 
Published: February 2021

Abstract
Background: China is making every effort to promote equal access to public health services(PHS) for the internal migrants. Studies have demonstrated that the impact of social capital on PHS is different among subgroups of people. Clarifying these differences will help China accurately promote the equalization of PHS for the internal migrants and provide reference for other developing countries.Methods: Data from the China Migrant Dynamic Survey of 2017, involving 130642 migrants in 31 provinces were used to clarify the complex relationship between social capital and the utilization of National Essential Public Health Services (NEPHS). Social capital was divided into regional cognitive social capital (RCSC), regional structural social capital (RSSC), individual cognitive social capital (ICSC), and individual structural social capital (ISSC). Then, multi-level logistic regression was conducted to analyze their impacts on the utilization of NEPHS of the migrants, and whether such effects are moderated by gender and education. Results: The results suggest: (1) There are significant differences in the levels of CSC, SSC, and NEPHS utilization between different genders and educational subgroups of the migrants, among which the educational difference is more prominent. (2) An interaction exists between the levels and dimensions of social capital and NEPHS projects. Also, the impact of SSC on NEPHS is always greater than that of CSC at the same level. (3) The effects of RCSC, RSSC, ICSC, and ISSC on NEPHS utilization by migrants are not moderated by gender. However, education could weaken the relationship between RCSC and health education, ISSC and health education, and RSSC and health records but strengthen the correlation between RSSC and health education. Conclution: This study demonstrated complex interactions between the dimensions and levels of social capital, NEPHS projects, and the population characteristics of migrants. As the government strives towards the equalization of NEPHS, these interactions should be fully considered.
Investigating the synergistic effect of UV/PS/TiO2 and UV/PI/TiO2 processes on paraquat herbicide degradation in media aqueous: statistical optimization, kinetic study, and estimation of electrical energy consumption
Authors: Ghavi Azam , Bagherian Ghadamali , Vahidian Hadi Rezaei 
Published: February 2021

Abstract
In this paper, the performance of UV/PS/TiO2 and UV/PI/TiO2 as hybrid AOPs for degradation of paraquat (PQ) herbicide in aqueous solution has been studied. The effect of several factors such as UV irradiation, initial oxidant concentration, nano-TiO2 (TiO2NPs) dosage, and pH on the degradation efficiency was investigated. Process optimization was performed by Central Composite Design (CCD) and response surface methodology (RSM) for 30 mgL− 1 of herbicide at 25 ˚C and 40 min. Based on the results, for UV/PS/TiO2 process a degradation efficiency of 83% was obtained in the optimum condition of initial PS concentration of 400 mgL− 1, initial TiO2NPs concentration of 150 mgL− 1, and pH = 6.3. Also for UV/PI/TiO2 process, 87% degradation efficiency was achieved in the optimum condition of initial PI concentration of 88 mgL− 1, initial TiO2NPs dosage of 125.5 mgL− 1, and pH of 7.5. Mineralization efficiency of the PQ solution by using PS and PI were about 47.5% and 57%, respectively after 80 min. Kinetic studies showed that both process follow pseudo-first-order kinetic model and their kinetic constants were 0.0299 min− 1 for PS process and 0.0604 min− 1 for PI process. Electrical energy consumption was estimated about 481.60 kWh/m3 for PS process and 238.41 kWh/m3 for PI process.
Coronavirus Disease-19 Outbreaks In Iraq: A Case Report
Authors: Aljumaili Mohammed 
Published: February 2021

Abstract
Coronavirus is a new pandemic disease that has emerged in Wuhan, China, and then spreads around the world. The cases number of the COVID-19, which have been daily reported in Iraq, has risen slowly. However, no confirmed study has been undertaken to evaluate the situation of the COVID-19 in concerning the confirmed cases, death cases, and recovered. The current study is undertaken to describe and assess the COVID-19 of the present situation in Iraq out of the range of the confirmed, deaths and recovered cases from the date 21 February to 30 April 2020 in Iraq. The study findings have revealed that there is a gradual increase of COVID-19 cases onwards until the top peak in 7th Apr. in which the cases reach 684, then decrease regularly. The total infected people of the study scope is 2085 persons according to the Ministry of Health in Iraq, while the world health organization (WHO) states 2003 person. The spatial distribution quantile map showed the hot spots in the province of Babylon, Maysan, and Diyala. However, less was found in three provinces (Nineveh, Salahaddin, and Al Anbar). The result shows that 66.9% recovered and 4.6% death cases out of total infected people. According to the procedures of Iraqi government, and many international reports that predict the end of this pandemic in the world will be doubtful as there is many vaccine under development.
Infectious Subgenomic Amplicons method to expedite reverse genetics of SARS-CoV-2 and other coronaviruses
Authors: Mélade Julien , Piorkowski Géraldine , Touret Franck , Fourié Toscane , Coutard Bruno , Nougairede antoine , de Lamballerie Xavier 
Published: February 2021

Abstract
There is a need for simple reverse genetics methods to decipher the biological properties of animal and human coronaviruses. Here, we attempted to rescue the recently emerged severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the Feline enteric coronavirus (FeCoV) using the rapid “Infectious-Subgenomic Amplicons” (ISA) method. For each virus, transfection into permissive cells of eight overlapping subgenomic cDNA fragments covering the entire genome allowed reconstruction of the complete virus genome and generated infectious viral particles. Rescued viruses replicated the phenotypic and genotypic characteristics of the original isolates. In conclusion, the ISA method, which had been previously used for RNA viruses with shorter genomes (e.g., flaviviruses, alphaviruses and enteroviruses) can be used to rescue viruses with substantially longer genomes and usefully complements pre-existing methods for reverse genetics of coronaviruses. Its extreme simplicity and versatility makes it a strong option to decipher the biological properties of coronaviruses circulating in human, domestic or wild fauna populations.
Sediments nitrogen cycling influenced by submerged macrophytes growing in winter
Authors: Dan Zhang , Chuan Wang , Qiaohong Zhou , Xingzhong Yuan 
Published: February 2021

Abstract
Restoration of submerged macrophytes is one of the important measures for ecological treatment of eutrophic lakes. The changes in physical and chemical conditions caused by submerged macrophytes also affect the process of benthic nitrogen cycling. The growth period of Potamogeton crispus is mainly in winter. In order to understand the effect of submerged macrophytes growing in winter on nitrification rate and denitrification rate in the process of nitrogen cycling, experiments were carried out from winter to summer with vegetated and non-vegetated treatments. The results showed that the effect of submerged macrophytes on water temperature was not significant in winter. The nitrogen cycling was mainly affected by variables, which were inorganic nitrogen and dissolved oxygen. Submerged macrophytes had little effect on nitrification rate, but had a certain inhibition on denitrification rate by providing oxygen from photosynthesis. In total, submerged macrophytes growing in winter have little effect on nitrogen cycling in sediment. However, submerged macrophytes growing in winter can increase the attachment surface of microbes and inhibit resuspension of sediment, which play a complementary role to submerged macrophytes growing in summer for maintaining stability of eutrophic lakes.
Antioxidant, Cytotoxic Activity and Pharmacokinetic Studies by Swiss
Adme, Molinspiration, Osiris and DFT of PhTAD-substituted Dihydropyrrole
Derivatives
Authors: Ayar Arif , Aksahin Masuk , Mesci Seda , Yazgan Burak , Gül Melek , Yıldırım Tuba 
Published: February 2021

Background:
Pyrrole compounds having a heterocyclic structure are the most researched
and biological activities such as antioxidant and anticancer activities.

Objective:
Herein is a first effort to study the significance of heterocyclic compounds to include
pyrrole and triazolidine-3,5-dion moiety, on the pharmacokinetic, antioxidant activity and cytotoxic
activity on MCF-7 and MCF-12A cell lines.

Method:
The molecular structures of compounds I-XIV were simulated by the theoretical B3-
LYP/DFT method. Pharmacokinetic studies of PhTAD-substituted heterocyclic compounds (IXIV)
were analyzed to show Lipinski's rules via in-silico methods of Swiss-ADME. The drug likeness
calculations were carried out in Molinspiration analyses. Some toxicity risk parameter can be
quantified using Osiris. Antioxidant activities determined by DPPH, Fe+2 ions chelating and reducing.
Cytotoxic activity measured by MTT and RTCA.

Results:
Compared with the DPPH activity, the metal chelating activity exhibited serious similar
antioxidant effects by PhTAD substituted pyrrole compounds. The same compounds showed the
highest activity among the two antioxidant activities. The IC50 values of the compounds are in the
range of 12 and 290 μM in the MCF-7 cell line. In the MTT and RTCA assays, All compounds
showed cytotoxic activity, but about half of the fourteen compounds showed high cytotoxicity. IC50
values of the compounds are in the range of 5 and 54 μM for MTT and range of 1.5 and 44 μM for
RTCA.

Conclusion:
Data of the antioxidant and cytotoxic activity of PhTAD-substituted dihydropyrrole-
derived compounds in MCF-7 and MCF-12A cell lines confirmed that the compounds are biologically
active compound and are notable for anti-cancer researches.
Prediction of Drug-target Binding Affinity by An Ensemble Lear ning System with Network Fusion Information
Authors: Zhang Cheng Lin , Zhang You Zhi , Wang Bing , Chen Peng 
Published: February 2021

Background:
Verifying interactions between drugs and targets is key to discover new drugs.
Many computational methods have been developed to predict drug-target interactions and performed
successfully, but challenges still exist in the field.

Objective:
We have made an attempt to develop a machine learning method to predict drug-target affinity,
which can determine the strength of the binding relationship between drug and target.

Methods:
This paper proposes an integrated machine learning system for drug-target binding affinity
prediction based on network fusion. First, multiple similarity networks representing drugs or targets are
calculated. Second, multiple networks representing drugs (targets) are fused separately. Finally, the
characteristic information of splicing drugs and targets was used for model construction and training.
By integrating multiple similarity networks, the model fully embodies the complementarity of network
information, and the most complete features of information can be obtained after the redundancy is removed.

Results:
Experimental results showed that our model obtained good results for DTI binding affinity.

Conclusion:
It is still challenging to predict drug-target affinity. This paper proposes to use an integrated
system of fusion network information for addressing the issue, and the proposed method performs
well, which can provide a certain data basis for the subsequent work.