bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of FFF Processing Parameters to Improve Geometrical Accuracy and Mechanical Behavior of Polyamide 6 Using Grey Relational Analysis (GRA)
Authors: Shakeria Zohreh , Benfriha Khaled , Zirak Nader , Shirinbayan Mohammadali 
Published: December 2021

Abstract
One of the most widely used additive manufacturing (AM) methods is Fused Filament Fabrication (FFF), which can produce complex geometry parts. In this process, a continuous filament of thermoplastic material is deposited layer by layer to make the final piece. One of the essential goals in the production of parts with this method is to produce parts with high mechanical properties and excellent geometrical accuracy at the same time. Among the various methods used to improve the desired properties of produced parts is to determine the optimum process parameters in this process. This paper investigates the effect of different process parameters on four essential parameters: chamber temperature, Printing temperature, layer thickness, and print speed on cylindricity, circularity, strength, Young’s modulus, and deformation by Gray Relational Analysis method simultaneously. Taguchi method was used to design the experiments, and the PA6 cylindrical parts were fabricated using a German RepRap X500® 3D printer. Then the GRG values were calculated for all experiments. In the 8th trial, the highest value of GRG was observed. Then, to discover the optimal parameters, the GRG data were analyzed using ANOVA and S/N analysis, and it was determined that the best conditions for enhancing GRG are 60 °C in the chamber temperature, 270 °C in the printing temperature, 0.1 mm layer thickness, and 600 mm/min print speed. Finally, by using optimal parameters, a verification test was performed, and new components were investigated. Finally, by comparing the initial GRG with the GRG of the experiment, it was discovered that the GRG value had improved by 14%.
Performance of Combined Recommendation Modeling Fused With Tagawareness In Mixed Traffic Scenarios
Authors: Li Xiangyuan , Ding Fei , Ren Suju , Bao Jianmin , Su Ruoyu , Tong En 
Published: December 2021

Abstract
Due to the heterogeneous characteristics of vehicles and user terminals, information in mixed traffic scenarios can be interacted based on the Web protocol of different terminals. The recommendation system can dig users' travel preferences by analyzing historical travel information of different traffic participants, to publish accurate travel information and services for the terminals of traffic participants. The diversification of existing road network users and networking modes, as well as the dynamic changes of user interest distribution caused by high-speed movement of vehicles, traditional collaborative filtering algorithms have limitations in terms of effectiveness. This paper proposes a novel Hybrid Tag-aware Recommender Model (HTRM). The model embedding layer first employs the Word2vec model to represent the tags and ratings of projects and users, respectively. The feature layer then introduces the auto-encoder to extract self-similar features of the item, and a long short-term memory (LSTM) network is used to extract user behavior characteristics to provide higher-quality recommendations. The gating layer combines the features of users and projects and then makes score recommendations based on the Fully Connected Neural Network (FCNN). Finally, Web data sets of different service preferences of traffic participants during the trip are used to evaluate the model recommendation performance in different scenarios. The experimental results show that the HTRM model is reasonable in design and can achieve high recommendation accuracy.
Correlation Analysis of Cognitive Impairment And Malnutrition In Elderly Patients With Chronic Heart Failure
Authors: Liang Hong , Li Xiaoping , Lv Wei , Zhang Kexin , Leng Jiyan 
Published: December 2021

Abstract
Aims: The purpose of this study was to evaluate the correlation between cognitive impairment (CI) and malnutrition in elderly patients with chronic heart failure (CHF) and to determine the relationship between different nutritional indexes and cognitive impairment in patients with chronic heart failure.Methods and results: We examined the correlation between CI and nutritional indicators in elderly hospitalized patients with CHF. The nutritional status of patients was evaluated by Mini Nutritional Assessment（MNA), anthropometric assessment indicators, human component analysis indicators and laboratory tests indicators. Use of the Min-mental state examinatsion (MMSE) to evaluate cognitive function. The study included 184 heart failure patients aged 60 or older. According to the international common cognitive function assessment scale, the patients were divided into CI group and not CI group. In terms of nutrition, compared with those without CI, patients with CI had lower MNA score, Body mass index (BMI), arm circumference, calf circumference, fat free mass, upper arm muscle circumference, lymphocytes absolute value, hemoglobin, hematocrit, albumin, prealbumin, and cholesterol (P < 0.001). Among them, albumin (odds ratio [OR]=0.767, P < 0.05), arm circumference (odds ratio [OR]=0.614; P < 0.05), MNA score (odds ratio [OR]=0.675; P < 0.001) was significantly correlated with CI in elderly patients with CHF, and We found that the AUC was the largest when the three indexes were combined to draw the ROC curve (AUC: 0.935).Conclusions: Our findings emphasize that malnutrition is common in the elderly population, and that it is strongly associated with cognitive decline. Identifying and treating malnutrition is essential for all older people.
Factors Affecting Timely Breast Cancer Treatment Among Black Women in a High-risk Urban Community: a Qualitative Study
Authors: Rose Johnie , Oliver Yvonne , Sage Paulette , Dong Weichuan , Koroukian Siran M. , Gonzalez Sarah Koopman 
Published: December 2021

Abstract
Background: Black women diagnosed with breast cancer in the U.S. tend to experience significantly longer waits to begin treatment than do their white counterparts, and such treatment delay has been associated with poorer survival. We sought to identify the factors driving or mitigating treatment delay among Black women in an urban community where treatment delay is common.Methods: Applying the SaTScan method to data from Ohio’s state cancer registry, we identified the community within Cuyahoga County, Ohio (home to Cleveland) with the highest degree of breast cancer treatment delay from 2010 through 2015. We then recruited breast cancer survivors living in the target community, their family caregivers, and professionals serving breast cancer patients in this community. Participants completed semi-structured interviews focused on identifying barriers to and facilitators of timely breast cancer treatment initiation after diagnosis.Results: Factors reported to impact timely treatment fell into three primary themes: informational, intrapersonal, and logistical. Informational barriers included erroneous beliefs and lack of information about processes of care; intrapersonal barriers centered on mistrust, fear, and denial; while logistical barriers involved transportation and financial access, as well as patients’ own caregiving obligations. An informational facilitator was the provision of objective and understandable disease information, and a common intrapersonal facilitator was faith. Logistical facilitators included financial counseling and mechanisms to assist with Medicaid enrollment. Crosscutting these themes, and mentioned frequently, was the centrality of both patient navigators and support networks (formal and, especially, informal) as critical lifelines for overcoming barriers and leveraging facilitating factors.Conclusions: The present study describes the numerous hurdles to timely breast cancer treatment faced by Black women in a high-risk urban community. These hurdles, as well as corresponding facilitators, can be classified as informational, intrapersonal, and logistical. Observing similar results on a larger scale could inform the design of interventions and policies to reduce race-based disparities in processes of cancer care.
Spring Waters as an Indicator for Non-Point-Source Nitrate Pollution of Rural Watercourses – Findings from Two Decades of Spring Monitoring in the Low Mountain Landscape of Saarland
Authors: Weber Gero , Kubiniok Jochen 
Published: December 2021

Abstract
Background:Interflow-dominated spring waters provide a comprehensive picture of emissions with nitrate and other pollutants caused by the type and intensity of land use in the topographic catchment area. One aim of this study was to develop a model for predicting the share of nitrate pollution from non-point sources based on the type of agricultural use in the catchment areas of small and medium-sized watercourses. Methods:Fifty-five springs in Saarland and the adjacent Rhineland-Palatinate were monitored for pollutants during three monitoring periods of at least twelve months duration between 2000 and 2019. The catchment areas are representative of the natural regions in the study area and are outside the influence of settlements and other developments. In addition to nitrate and other physicochemical parameters, 25 agriculturally impacted springs were screened for pesticides and their metabolites.Results:Since the first measurements were taken in 2000, the vast majority of agriculturally impacted springs have consistently exhibited high nitrate concentrations of between 20 and 40 mg/L NO3-. Springs not influenced by agriculture contain an average of 3.6 mg/L of nitrate. The extreme values observed in the early 2000s decreased to the limit value of 50 mg/L, but most of the springs with moderate levels exhibited an increase to approximately 30 mg/L. The number of pesticidal agents detected in the spring waters demonstrates a clear correlation with the intensity of agricultural usage and the nitrate content detected. A regression model derived from the highly significant correlation between nitrate content and the share of cropland in the catchment area can be used to quantify the share of nitrate pollution attributable to non-point-source inputs for larger catchments in the region under investigation.Conclusion:Nitrate discharged from farmland has not decreased since the EC WFD entered into force. At the extremely heavily polluted sites of the past, measures have been implemented in the meantime that have led to compliance with the limit value of the Nitrate Directive. As below this limit, nitrate levels are increasing significantly, we suggest to incorporate the marine ecology target as a binding mark for official water pollution control in the future.
How Inhaler Technique is Assessed in Children and Young People: A Scoping Review Protocol
Authors: Ferris Kathryn Claire Anne , McCrossan Paddy , Shields Michael D , Paton James , O’Donoghue Dara 
Published: December 2021

Abstract
BackgroundAsthma is the most common chronic childhood condition. Unfortunately, many children have poorly controlled asthma. Current guidelines strongly recommend that all asthma review appointments must include an assessment of the patient’s inhaler technique. However, most guidelines do not provide information on how the healthcare professional should conduct this assessment. The aim of this scoping review is to explore the published literature on methods used to assess inhaler technique. MethodsThis scoping review will follow the frameworks founded by Arksey and O’Malley and the Joanna Briggs Institute guidelines. We will search MEDLINE, Embase, Cinahl and the Cochrane library for studies published from 1st January 1956 to 30th November 2021, on methods of assessing inhaler technique in children and young people aged 1 to 16 years of age with asthma. We will include randomised control trials, case control studies, cohort studies and retrospective studies which investigate methods used to assess inhaler technique in children and young people. We will include studies conducted in all areas where inhaler technique assessment occurs and studies conducted by all healthcare professionals who usually undertake inhaler assessments in practice. Two reviewers will complete all screening and data extraction independently. Data will be extracted onto a charting table and a descriptive summary of the results presented. DiscussionThis scoping review will provide a broad overview of currently used methods to assess inhaler technique in children and young people with asthma. The analysis of which will allow us to consider how these methods might be used in clinical practice and research settings. Scoping review registration Open Science Framework (osf.io/e47sa).
Assessing the Endocrine Disrupting Effects of Chemicals on Invertebrates in the European Union
Authors: Crane Mark , Dungey Steve , Lillicrap Adam , Thompson Helen , Weltje Lennart , Wheeler James Robert , Lagadic Laurent 
Published: December 2021

Abstract
Evidence from both laboratory and field studies has shown that currently used synthetic and naturally occurring chemical substances may potentially disrupt invertebrate endocrine systems, although the extent of this in field populations remains unclear. Translating concerns about potential endocrine disrupting chemicals (EDCs) into practical and effective regulatory action is currently hampered by the breadth of invertebrate endocrinology when compared to the better understood vertebrate systems, a lack of fundamental knowledge about the endocrinology of many invertebrate groups, and the resulting uncertainty when making regulatory decisions. This paper i) outlines the breadth of invertebrate endocrine pathways for which European Union regulation of potential EDCs may be relevant, ii) reviews the extent to which current knowledge meets regulatory requirements for invertebrates, including an assessment of the suitability of current invertebrate test guidelines for detecting endocrine modes of action; and iii) proposes a roadmap towards the regulation of potential EDCs with greater confidence, based on the Adverse Outcome Pathway (AOP) concept and a focus on identifying Molecular Initiating Events (MIEs) within AOPs. We propose that the most important research need is compilation of a comprehensive list of endocrine-related MIEs across invertebrate taxa via use of high throughput ‘omics in combination with bioinformatics reverse engineered analyses. Although tractable, such an approach would require significant resource investment for development and implementation.
Changes in Sleep Quality in Heart Disease Patients Following a Cardiac Rehabilitation Program
Authors: Lodi-Rizzini Fabio , Gómez-González Adela María , Conejero-Cisneros Rocío , Romero-Blanco María José , Maldonado-Barrionuevo Almudena , Salinas-Sánchez Pablo , Jiménez-Navarro Manuel 
Published: December 2021

Abstract
Sleep disorders are very common in patients with heart disease. The objective of this study has been to assess the effects of a cardiac rehabilitation program on sleep quality, quality of life, anxiety, depression and functional capacity in patients with heart disease. A pre-test/post-test design study was carried out on the 240 patients included in the cardiac rehabilitation program at the “Virgen de la Victoria” hospital in Malaga; 50 patients (20.8%) were included in the program due to heart failure (HF) and the rest of them after having undergone a revascularization procedure or a surgery for valvular disease. The patients underwent a cardiac rehabilitation program for 8 weeks, based on programmed physical training, health education and psychological treatment. At the end of the program, scores improved on the Pittsburgh Sleep Quality Index (p = 0.008), the SF-36 Quality of Life Questionnaire (p <0.001), the Goldberg Anxiety and Depression Scale (p <0.001) as well as in functional capacity (p <0.001). When comparing patients with heart failure with those without, no differences were found in sleep quality, quality of life, anxiety or depression. In conclusion, the completion of an 8-week cardiac rehabilitation program may improve, in the short term, the quality of sleep in patients with heart disease.
Effects of Nitrogen Input on Community Structure of the Denitrifying Bacteria with Nitrous Oxide Reductase Gene (nosZ I): A Long-Term Pond Experiment
Authors: Zhou Jing , Kong Yong , Wu Mengmeng , Shu Fengyue , Wang Haijun , Ma Shuonan , Li Yan , Jeppesen Erik 
Published: December 2021

Abstract
Excessive nitrogen (N) input is an important factor influencing aquatic ecosystems and has received increasing public attention in the past decades. It remains unclear, however, how N input affects the denitrifying bacterial communities that play a key role in regulating N cycles in various ecosystems. To test our hypothesis – that the abundance and biodiversity of denitrifying bacterial communities decrease with increasing N – we compared the abundance and composition of denitrifying bacteria having nitrous oxide reductase gene (nosZ I) from sediments (0-20 cm) in five experimental ponds with different nitrogen fertilization treatment (TN10, TN20, TN30, TN40, TN50) using quantitative PCR and pyrosequencing techniques. We found that: 1) N addition significantly decreased nosZ I gene abundance, 2) the Invsimpson and Shannon indices (reflecting biodiversity) first increased significantly along with the increasing N loading in TN10~TN40 followed by a decrease in TN50, 3) the beta diversity of the nosZ I denitrifier was clustered into three groups along the TN concentration levels: Cluster I (TN50), Cluster II (TN40), and Cluster III (TN10-TN30), 4) the proportions of Alphaproteobacteria and Betaproteobacteria in the high-N treatment (TN50) were significantly lower than in the lower N treatments (TN10-TN30). 5). The TN concentration was the most important factor driving the alteration of denitrifying bacteria assemblages. Our findings shed new light on the response of denitrification-related bacteria to long-term N loading at pond scale and on the response of denitrifying microorganisms to N pollution.
Production and Characterization of Animal Waste Reinforced Composite Materials By Powder Metallurgy
Authors: YONETKEN Assoc. Prof. Dr. Ahmet , EROL Ayhan , Pesmen Gunnur 
Published: December 2021

Abstract
Boron carbide is a product used for reinforcement in composite production and frequently used in the defense industry. The fact that boron carbide behaves similarly to the mechanical properties of bone and that titanium is strengthened with boron carbide, which is used as a biomaterial, causes it to be preferred among composite materials. It also makes it attractive to use in industrial applications at high temperatures. It is known that Fe-B4C composites are used together with Fe matrix materials to improve the properties of the group in addition to elements such as Cr, especially Ti, Co, Mo and Fe in various application areas. This makes it frequently used in the sintering process. In this study, 98,33%Fe-1,66%B4C, 96.66%Fe-1,66%B4C-1,66%eggshell powders, 95%Fe-1,66%B4C-3,32%eggshell powders, 93,33%Fe-1,66%B4C-5%eggshell powders and 91,66%Fe-1,66%B4C-6,66% eggshell powder samples were prepared using the compositions of. It is formed in a single axis press under 400bar pressure. When the mechanical and metallographic properties of the samples produced after sintering at 1400 ᵒC were examined, the effects of eggshell powders on composite samples produced by adding Fe-B4C composite and eggshell powders in different compositions were observed. 1,66% to 6,66% eggshell powders additive was used in the compositions and mechanical properties were determined in the produced samples. Structural features were tried to be determined by looking at metallographic analyses. The densities of the produced samples were calculated and their hardness and strength were determined. According to the analysis results, 3,33% Egshelters composition and 3,71 gr/cm3 density and 285,5 HV hardness values ​​at 1400 °C were obtained.
Efficacy And Safety of Blood Derivatives Therapy in Alzheimer’s Disease: A Systematic Review And Meta-Analysis
Authors: Fei Zhangcheng , Pan Bo , Pei Renjun , Chen Zhongsheng , Du Xi , Cao Haijun , Li Changqing 
Published: December 2021

Abstract
Objective: Blood derivatives therapy is a conventional clinical treatment, while the treatment for Alzheimer’s disease (AD) is relatively novel. To provide clinical references for treating AD, this meta-analysis was performed to evaluate the efficacy and safety of blood derivatives therapy on the patients with AD. Methods: A systematic articles search was performed for eligible studies published up to December 6, 2021 through the PubMed, Embase, Cochrane library, ClinicalTrials.gov, Chinese National Knowledge Infrastructure database and Wanfang databases. The included articles were screened by using rigorous inclusion and exclusion criteria. Random effects model was used for this meta-analysis when there is heterogeneity, or else fixed effects model was used. Quality of studies and risk of bias were evaluated.Results: A total of 3 plasma administrations (2 plasma exchange and 1 young plasma infusion) and 5 intravenous immunoglobulin (IVIG) randomized controlled trials with a sample size of 1148 subjects diagnosed with AD were included. There was no significant difference in cognitive improvement and all-cause discontinuation between intervention and placebo groups. In subgroup analysis, plasma administration was superior to placebo only in limited studies for individual scales. IVIG is well tolerated for AD patients even under the maximum dose (0.4g/kg), but it’s inferior to placebo in Neuropsychiatric Inventory scale in AD patients (P =0.05).Conclusions: The benefits of blood derivatives therapy for AD are limited. It’s necessary to perform well-designed randomized controlled trials with large sample sizes focusing on the appropriate blood derivatives for the specific AD sub-populations in the future. Systematic review registration: PROSPERO CRD42021233886.
Multivariate Statistical Analysis of Multiple-Elements in Anisodus Tanguticus (Maxim.) Pascher from Different Regions to Determine Geographical Origins
Authors: Chen Chen , Li Jingjing , Wang Bo , Xiong Feng , Xiao Yuanming , Zhou GuoYing 
Published: December 2021

Abstract
Background: Anisodus tanguticus (Maxim.) Pascher, which is an important species used in traditional Tibetan medicine, is grown in the Qinghai -Tibet Plateau. Because the quality of A. tanguticus varies depending on where it is grown, a method for determining the geographical origin of this species is needed.Methods: A quantitative analysis of 18 elements (Al, Ba, Be, Ca, Co, Cu, Fe, K, Li, Mg, Mn, Mo, Na, Ni, P, Sr, V, and Zn) in A. tanguticus and the soil collected from different locations was conducted using an inductively coupled plasma optical emission spectrometer. The elemental contents underwent a principal component analysis (PCA), and an orthogonal partial least-squares discriminant analysis (OPLS-DA). Furthermore, elemental accumulation and elemental transfer coefficients were calculated according to the element concentration gradients.Results: Distinct element fingerprints were detected for the A. tanguticus collected from different regions. Additionally, the PCA and OPLS-DA results indicated A. tanguticus plants can be distinguished on the basis of their geographical origin. The Tibet samples were easily separated from the other samples. Elemental accumulation and transfer patterns differed significantly among the analyzed elements and plant parts. Ca and P were identified as the elements with the highest in elemental accumulation and elemental transfer patterns of A. tanguticus. Conclusions: Our approach can be used to efficiently and accurately distinguish herbs according to their varietal characteristics and geographical origins.