bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study Using Magnetic Resonance Imaging in Assessing the Activity of Marrow Edema of Sacroiliac Joints in Early Ankylosing Spondylitis
Authors: Shi Zhaojuan , Wang Baojian , Yang Zhe , Zheng Hui , Ran Rongli , Zhang Yue , Han Jiankui , Li Changqin , Qin Jian 
Published: August 2022

Abstract
Purpose
This paper aimed to investigate the value of SPARCC score and ADC value in evaluating the activity of sacroiliac arthritis in early AS, and to explore the correlations between SPARCC score and clinical activity evaluation indexes. These results can provide more reliable reference for clinical evaluation of AS activity.
Methods
A total of 43 patients with early AS underwent MR examinations using T1WI, T2WI, STIR and DWI sequences, included 30 males and 13 females, with a median age of (26.52 ± 3.28) years.All patients were divided into the active group and stable group by the BASDAI scoring. The values of ASDAS-ESR and ASDAS-CRP were calculated according to the values of ESR and CRP combined with clinical pain score. The non-parametric test was used as the main statistical method, and the Spearman Correlation Analysis was used to analyze the correlations between MRI parameters and clinical activity indicators. In addition, ROC curves were drawn to evaluate MRI effective parameters and clinical inflammatory indexes.
Results
The values of BASDAI, ESR, CRP, ASDAS-ESR and ASDAS-CRP were 5.60 ± 1.10scores,21.00 ± 16.25mm/h,12.60 ± 15.92mg/l,2.73 ± 1.25 and 3.13 ± 1.64 in the active group, while 4.90 ± 0.80scores,14.00 ± 11.00mm/h,3.03 ± 2.46mg/L, 1.27 ± 0.57 and 1.41 ± 0.77 in the stable group(p < 0.05). The SPARCC scoring and ADC values in the active group were higher than those in the stable group (p < 0.05). SPARCC scoring had the highest correlation with ASDAS-CRP (r = 0.806), while the ADC values were moderately correlated with ASDAS-CRP. Furthermore, we founded that ASDAS-CRP had the highest efficacy (AUC = 0.933) in clinical indexes, while SPARCC scoring was the most effective (AUC = 0.887) for the evaluation on MRI.
Conclusions
It can be concluded that MRI evaluation indexes were more reliable than clinical indicators for the AS activity. ASDAS-CRP had the highest efficacy and specificity for the evaluation of early AS, while SPARCC scoring had the highest efficacy and best sensitivity on MRI.
Geochemistry and origin of natural gas in the Arctic area of West Siberia
Authors: Novikov D. A. , Dultsev F. F. , Borisov E. V. , Chernykh A. V. , Fursenko E. A. 
Published: August 2022

Abstract
Results obtained in the studies of gas composition in the hydrocarbon pools of the Jurassic-Cretaceous sediments in the Arctic regions of West Siberia are reported. The specific features of gas composition in hydrocarbon pools are shown. The main features of the vertical and lateral gas zoning in the Aptian-Albian-Cenomanian, Berriasian-Hauterivian and Jurassic oil and gas bearing complexes are revealed. Generalization of the data on the geochemistry of hydrocarbon gases (the features of component composition, the isotope composition of methane), along with the published data of the geological and geochemical investigation of the Arctic regions of West Siberia, allows us to consider the highly mature Triassic - Middle Jurassic coaly matter as the source of the dry hydrocarbon gases of the Lower and Middle Jurassic complex. Either the Triassic - Middle Jurassic sediments or the Upper Jurassic beds, enriched with the aquatic organic matter, could be involved in the formation of Upper Jurassic and Lower Cretaceous pools. The low-maturity terrestrial (carbonaceous) organic matter of the Cretaceous sediments generated the major amount of light-isotope gases in the Aptian-Albian-Cenomanian sediments. In addition, the source of those gases could be methane formed during oil biodegradation.
Magnitude of Malaria and Associated Factors Among Febrile Patients Visiting Public Health Facilities in Olanchity Town, East Shewa, Central Ethiopia, 2022. Crosssectional Study Design.
Authors: Gudeta Yosef , Daniel Radiet , Aman Dureti 
Published: August 2022

Abstract
Background: Mortality and Morbidity caused by malaria is a major public health problem in developing countries like Ethiopia. Despite efforts to reduce its impact on community, the disease is still a projecting health problem in Ethiopia. In the study area, there is no study done that indicated extent of malaria and predisposing factors related as far as our knowledge concerned. This study, therefore, was undertaken to assess the magnitude of malaria and associated factors among febrile patient visiting public health facilities in Olanchit Town.Objectives: to assess the magnitude of malaria and associated factors among febrile patients visiting public health facilities in Olanchit Town, East Shewa, Central Ethiopia. Methods: Institution based cross sectional study was conducted from April 1st - June 30th, 2022. Every other febrile patient from all patients visiting the health facilities during the data collection period were interviewed using structured interviewer administered questionnaire. The collected data was coded, edited and entered in to Epi-Info version 7.1 and analyzed SPSS version 24. Descriptive statistics was performed to describe the magnitudes of malaria. Multiple logistic regression analysis was conducted to identify associated factors at 95% confidence interval and P -value <0.05 was used as cut-off points to declare significance in the final model.Result: in the study 306 respondents were involved making response rate 100%. Among febrile cases visited public health 85 (27.8%), (95% CI;17.0, 26.1) were positive for malaria cases and P. Vivax 43 (14.1%) were dominant species followed by mixed 26 (8.5%) and more cases 47 (15.4%) were observed in male. Malaria infection were associated with Sex who are male in gender (AOR = 5.7; 95% CI. 2. 74 – 16.1; P= 0.021), Age (AOR =7.7, 95% CI; 2.191 – 27. 321, P= 0.007), family members ever contracted malaria in their life (AOR = 3.7; 95% CI 1.469, 7.108; P = value 0.004).Conclusion and Recommendation: malaria cases found in this report was high when compared with strategies being followed now by MOH. To lower the prevalence of malaria infection there should be strong community mobilizer and active case search which might contribute to elimination goal that targeted clearing new and existing cases.
Factors Influencing COVID-19 Health Protective Behaviours in Zambian University Students with Symptoms of Low Mood
Authors: Ncheka Joyce Msumba , Menon J. Anitha , Davies E Bethan , Paul Ravi , Mwaba Sydney O C , Mudenda John , Wharrad Heather , Toutouchi Parisa , Glazebrook Cris 
Published: August 2022

Abstract
Background
Health protective behaviours are crucial in the prevention of the spread of COVID-19, particularly in university students who typically live and study in large groups. Depression and anxiety are common in students and can impact young people’s motivations to follow health advice. The study aims to assess the relationship between mental health and COVID-19 health-protective behaviours in Zambian university students with symptoms of low mood.
Methods
The study was a cross-sectional, online survey of Zambian university students. Invitation emails were sent explaining the study aims and directed students who self-identified as having low moods in the past two weeks to an online survey. Measures included COVID-19 preventive behaviours, COVID-19-related self-efficacy and Hospital and Anxiety Depression scale.
Results
A total of 620 students (n = 308 female, n = 306 male) participated in the study, with a mean participant age of 22.47 ± 3.29 years (range 18–51). Students reported a mean protective behaviour score of 74.09/105 and only 168 (27%) said they would accept vaccination against COVID-19, with male students being twice as likely to be willing to accept COVID-19 vaccination (p < 0.001). Over half the students (54%) scored above the threshold for depression and nearly three-quarters (74%) scored above the threshold for possible anxiety disorder. Three-way ANOVA showed lower COVID-19 protective behaviours in students scoring above the threshold for anxiety (p = .024) and those with low self-efficacy (p < 0.001). Gender was non-significant.
Conclusion
Students who self-identify as having symptoms of depression have high levels of anxiety. The results suggest that interventions to reduce anxiety and promote self-efficacy might enhance students’ COVID-19 protective behaviours. Further qualitative research is needed to understand the high rates of vaccine hesitancy in this population.
Mental Stress Recognition on the fly using Neuroplasticity Spiking Neural Networks
Authors: Weerasinghe Mahima Milinda Alwis , Wang Grace , Whalley Jacqueline , Crook-Rumsey Mark 
Published: August 2022

Abstract
Mental stress is found to be strongly connected with human cognition and wellbeing. As the complexities of human life increase, the effects of mental stress have impacted human health and cognitive performance across the globe. This highlights the need for effective non-invasive stress detection methods. In this work we introduce a novel, artificial spiking neural network model called, Online Neuroplasticity Spiking Neural Network (O-NSNN) that utilizes a repertoire of learning concepts inspired by the brain, to classify mental stress using Electroencephalogram (EEG) data. These models are personalized and tested on EEG data recorded during sessions in which participants listen to different types of narratives designed to induce acute stress. Our O-NSNN models learn on the fly producing an average accuracy of 90.76% (σ = 2.09) when classifying EEG signals of brain states associated with these audio comments. The brain-inspired nature of the individual models makes them robust and efficient and has the potential to be integrated into wearable technology. Furthermore, this article presents an exploratory analysis of trained O-NSNNs to discover links between perceived and acute mental stress. The O-NSNN algorithm proved to be better for personalized stress recognition in terms of accuracy, efficiency, and model interpretability.
EHTT2022: Multi-physical modeling and adjusting for ultrasonic assisted soft abrasive flow processing
Authors: Ni Yesha , Tan Yunfeng , Tan Dapeng 
Published: August 2022

Abstract
The polishing efficiency of the soft abrasive flow (SAF) method is low, which is not in line with the concept of carbon emission reduction in industrial production. To address the above issue, a two-phase fluid multi-physics modeling method for the ultrasonic assisted SAF processing is proposed. The turbulence kinetic energy at different ultrasonic frequencies are studied. Simulation results show that the ultrasonic vibration can induce cavitation effect in the constrained flow channel and promote the turbulence intensity and uniformity of the abrasive flow. A set of comparative polishing experiments with or without ultrasonic vibration are conducted to explore the performance of the proposed method. It can be found that the ultrasonic assisted SAF method can improve the machining efficiency and uniformity, so as to achieve the purpose of carbon emission reduction.
Anthropogenic fingerprints in daily precipitation revealed by deep learning
Authors: Ham Yoo-Geun , Kim Jeong-Hwan , Min Seung-Ki , Kim Daehyun , Li Tim , Timmermann Axel , Stuecker Malte 
Published: August 2022

Abstract
According to 21st century climate model projections, greenhouse warming will, on average, intensify rainfall variability and extremes. However, verifying this prediction using observations has remained a major challenge owing to large natural rainfall fluctuations at regional scales. In this study, we demonstrate that deep learning successfully detects the emerging climate change signals in daily precipitation fields during the observed record. Accordingly, we trained a convolutional neural network with daily precipitation variability and annual mean global mean surface air temperature data obtained from an ensemble of present-day and future climate model simulations. After applying the algorithm to the observational record, we found that the daily precipitation data represented an excellent predictor for the observed planetary warming, as they have showed a clear deviation from natural variability since the mid-2010s. Furthermore, we probed the machine learning model with an interpretability framework and observed that daily precipitation variability over the tropical eastern Pacific and mid-latitude storm track regions was most sensitive to anthropogenic warming. Our results highlight that, although the long-term shifts in annual mean precipitation were non-emergent above the natural background variability, the daily hydrological fluctuations already carry a detectable example of human interference.
Associations of thiocyanate, nitrate, and perchlorate exposure with dyslipidemia: a cross-sectional, population-based analysis
Authors: Shi Mengsha , Zhu Xu , Cheang Iokfai , Zhu Qingqing , Guo Qixin , Liao Shengen , Gao Rongrong , Li Xinli 
Published: August 2022

Abstract
The aim of this study was to assess the associations of urinary thiocyanate, nitrate, and perchlorate concentrations with dyslipidemia, individually and in combination, which has not previously been studied. Data from the 2001–2002 and 2005–2016 National Health and Nutrition Examination Surveys (NHANES) were analyzed in this cross-sectional study. The dependent variables were continuous serum lipid variables (triglycerides [TG], total cholesterol [TC], low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], non-HDL-C, and apolipoprotein B [Apo B]) and binary serum lipid variables, with the latter reflecting dyslipidemia (elevated TG, ≥ 150 mg/dL; elevated TC, ≥ 200 mg/dL; elevated LDL-C, ≥ 130 mg/dL; lowered HDL-C, < 40 mg/dL in men and < 50 mg/dL in women; elevated non-HDL-C, ≥ 160 mg/dL; and elevated Apo B, ≥ 130 mg/dL). Multivariate logistic, linear, and weighted quantile sum (WQS) regression analyses were used to explore the associations of thiocyanate, nitrate, and perchlorate with the continuous and binary serum lipid variables. The linearity of the associations with the binary serum lipid variables was assessed using restricted cubic spline (RCS) regression. A total of 15,563 adults were included in the analysis. The multivariate linear and logistic regression analyses showed that thiocyanate was positively associated with multiple continuous (TG, TC, LDL-C, non-HDL-C, and Apo B, but not HDL-C) and binary (elevated TG, TC, LDL-C, and non-HDL-C) serum lipid variables, whereas perchlorate was negatively associated with elevated LDL-C. Multivariate RCS logistic regression revealed a linear dose–response relationship between thiocyanate and elevated TG, TC, LDL-C, non-HDL-C, and Apo B, but a nonlinear relationship with lowered HDL-C (inflection point = 1.622 mg/L). WQS regression showed that a mixture of thiocyanate, nitrate, and perchlorate was positively associated with all binary serum lipid variables except for Apo B. Our findings indicate that urinary thiocyanate, nitrate, and perchlorate concentrations, individually and in combination, were associated with dyslipidemia.
Critical Parameters of Pure Substances
Authors: İbrahimoglu Beycan , Sarikaya Yuksel , Ibrahim Beycan Jr. 
Published: August 2022

Abstract
Solid, liquid, gas and plasma phases of pure substances were being studied in detail for over a century. There are liquid-solid, liquid-vapor and solid-vapor thermodynamic equilibrium curves on the conventional p-T phase diagram. However, location of the plasma phase, liquid-solid, solid-vapor equilibrium curves and critical parameters limiting those equilibriums are not provided since they haven’t yet been measured experimentally. Determination of the absent equilibrium curves, critical parameters, and the thermodynamic conditions for plasma phase occurrence with its location on the phase diagram were set to be the purpose of this study.
Economical Chemical Synthesis and characterization of multifunctional Bi36Fe2O57polycrystalline Ceramic catalyst
Authors: Verma Manish Kumar , Kumar Vinod , Patel Upakar , Rai Vishnu Shankar , Prajapati Dinesh , De Arup Kumar , Prajapati Aditya Kumar , sahoo Kedar , Das Tapas , Singh N.B. , Mandal K. D. 
Published: August 2022

Abstract
Polycrystalline Bi36Fe2O57 (BFO) ceramic was prepared by an economical chemical route. The X-ray powder diffraction analysis shows the formation of single-phase BFO ceramic. Nanosized formation of BFO ceramic particles was characterized by XRD as well as TEM and had particle size 76 ± 10 nm range. The sillenite type Bi36Fe2O57 shows better photocatalytic activity for the methylene blue (MB) dye degradation under visible light exposure than the perovskite-based BiFeO3 due to the low band gap(1.8eV) of the former. The photocatalytic mechanism of MB degradation over Bi36Fe2O57 ceramic can be explained by the Langmuir-Hinshelwood model which reflects the adsorption-controlled photocatalytic process.
Purified neuronal populations of regenerating retinal ganglion cells reveal DNA methylation-mediated role of Na+/K+-ATPase in axon regeneration
Authors: Madrid Andy , Rizk Elias , Koueik Joyce , Sun Dandan , Stewart Krista , Chen David , Luo Susan , Hong Felissa , Papale Ligia , Hariharan Nithya , Alisch Reid , Iskandar Bermans 
Published: August 2022

Abstract
While embryonic mammalian central nervous system (CNS) axons readily grow and differentiate, only a minority of fully differentiated mature CNS neurons are able to regenerate injured axons, leading to stunted functional recovery after injury and disease. To delineate DNA methylation changes specifically associated with axon regeneration, we developed a Fluorescent-Activated Cell Sorting (FACS)-based methodology in a rat optic nerve transection model to segregate the injured retinal ganglion cells (RGCs) into regenerating and non-regenerating cell populations. Whole-genome DNA methylation profiling of these purified neurons revealed known and novel genes and pathways linked to mammalian RGC regeneration. Moreover, whole-methylome sequencing of purified uninjured adult and embryonic RGCs identified embryonic molecular profiles reactivated after injury in mature neurons, and others that correlate specifically with embryonic or adult axon growth, but not both. The results highlight the contribution to both embryonic growth and adult axon regeneration of subunits encoding the Na+/K+-ATPase. In turn, both biochemical and genetic inhibition of the Na+/K+-ATPase pump significantly reduced RGC axon regeneration. These data provide critical molecular insights into mammalian CNS axon regeneration, pinpoint the Na+/K+-ATPase as a key regulator of regeneration of injured mature CNS axons, and suggest that successful regeneration requires, in part, reactivation of embryonic signals. Identification of the specific role of DNA methylation in CNS regeneration promises novel therapeutic targets for CNS injury and disease.
Investigation of 3D printed bearing cage with pentamode metamaterial structure
Authors: Xue Shuai , Li Zheng , Zheng Jiahui , Wu Dongbo , Meng Yonggang 
Published: August 2022

Abstract
Cage is the core component of a rolling element bearing, and its dynamic characteristics directly determine the performance and service life of a bearing. Metamaterial is a new structural material with topology optimization design, which has many special physical properties that traditional materials do not possess. Utilizing 3D printing technology to prepare metamaterials can increase manufacturing flexibility, give full play to its advantages in complex structure manufacturing, and realize the integrated manufacturing of structure and function. In this paper, a bearing cage with pentamode metamaterial structure was designed and fabricated by using selective laser sintering (SLS), and its deformation simulation and experimental tests were carried out. The results show that the 3D printed metamaterial structure cage has desired mechanical properties, and is workable in preliminary tests. Compared with the original commercial cage, the quality factor increased by one order of magnitude, which means it is easier to deform under shear force than pressure. This characteristic is beneficial to the high speed operation of rolling element bearings. In addition, due to its unique holes structure, its weight was reduced by 50% and more grease could be stored, resulting in a lower friction coefficient. When running steadily under the same condition, the power consumption of the bearing assembled with the 3D printed cage is 25% lower than that of the bearing assembled with the original cage. The study has demonstrated that 3D printed cages are of great research significance and broad application prospects.
Dietary Approach to Stop Hypertension and Healthy Eating Index 2015, Modify the Association between FTO polymorphisms and Obesity Phenotypes
Authors: Hosseini-Esfahani Firoozeh , Rezaei Mahshid , Koochakpoor Glareh , Daneshpour Maryam S. , Mirmiran Parvin , Azizi Fereidoun 
Published: August 2022

Abstract
This study aimed to investigate the interaction of the Healthy eating index (HEI) and the dietary approach to stop hypertension (DASH) diets with FTO polymorphisms in relation to obesity traits. A total of 4480 subjects aged ≥18 years were selected from participants of the Tehran Lipid and Glucose Study and followed-up 3 years. Selected polymorphisms (rs1421085, rs1121980, rs8050136) were genotyped. HEI and DASH scores were computed. The interaction of diet quality scores with FTO gene variants concerning changes in body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) and visceral adiposity index (VAI) was assessed. Higher adherence to both DASH and HEI diets were seen in older adults. Individuals with minor allele carriers of rs1121980 had a lower change in BMI when they had higher adherence to HEI, compared to subjects with lower HEI score (P trend=0.01). Change in WC in participants in the fourth quartile of HEI score in minor allele carriers of FTO variants was lower compared to the first quartile. No significant interaction was seen between FTO genetic variations and DASH and HEI diets regarding changes in any of obesity indices. Adherence to HEI and DASH diets modified the association between FTO genetic variations and obesity phenotypes. In minor allele (risk allele) carriers of FTO polymorphisms, low change in BMI and WC were seen with high adherence to the HEI. Conversely, high adherence to the DASH diet by this genotypic group was related to increase WC.