bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Adaptive Decomposition Ensemble Learning Approach for Metro Passenger Flow Forecasting
Authors: Sun Shaolong , Yang Dongchuan , Guo Ju-e , Wang Shouyang 
Published: October 2021

Abstract
Accurate and timely metro passenger flow forecasting is critical for the successful deployment of intelligent transportation systems. However, it is quite challenging to propose an efficient and robust forecasting approach due to the inherent randomness and variations of metro passenger flows. In this study, we present a novel adaptive decomposition ensemble learning approach to accurately forecast the volume of metro passenger flows that combines the complementary advantages of variational mode decomposition (VMD), seasonal autoregressive integrated moving averaging (SARIMA), a multilayer perceptron (MLP) network and a long short-term memory (LSTM) network. Our proposed decomposition ensemble learning approach consists of three important stages. The first stage applies VMD to decompose the metro passenger flow data into periodic components, deterministic components and volatility components. Then, we employ the SAIMA model to forecast the periodic component, the LSTM network to learn and forecast the deterministic component and the MLP network to forecast the volatility component. In the last stage, these diverse forecasted components are reconstructed by another MLP network. The empirical results show that our proposed decomposition ensemble learning approach not only has the best forecasting performance compared with the relevant benchmark models but also appears to be the most promising and robust based on the historical passenger flow data in the Shenzhen subway system and several standard evaluation measures.
Engaging MSM Communities in HIV Self-Testing Research and Programming in Kenya: Collaborations, Tacit Knowledge, and a Community-Based Programme Science Approach
Authors: Kombo Bernadette Kina , Thomann Matthew , Lazarus Lisa , Musyoki Helgar , Olango Kennedy , Kuria Samuel , Kyana Martin , Otieno Memory , Njiriani Margaret , Musimbi Janet , Bhattacharjee Parinita , Lorway Robert 
Published: October 2021

Abstract
Background: Understanding the basic principles for achieving research outcomes that are relevant to local communities is invaluable. The process allows for building of collaborative spaces and redistribution of power in knowledge production practices. This is because members of marginalized and vulnerable communities have long been critical of a research culture that has historically failed to advance meaningful collaboration and overlooks local forms of knowledge at various phases of the research processes. There has however not been a clear framework that outlines how communities should be meaningfully engaged. Rather, substantial variations in the nature of community engagements exist across research projects, thus requiring a more nuanced approach of working with communities. Methods: In this methodological paper, we describe how a community-based program science approach guided an interdisciplinary research project to inform the rollout of HIV self-testing (HIVST) among men who have sex with men (MSM) in three urban counties in Kenya. Community members and their research and programmatic partners collaborated through all phases of the research process including research design, data collection, and translation of research. Importantly, community researchers and policy makers also played an integral role in data analysis, going well beyond the conventional role of “community engagement” in global health research. Results: The study created a platform that enabled meaningful collaborations across the diverse stakeholders and allowed the MSM communities to contribute to the decisions and solutions impacting on their community. Our community-based program science approach recognizes that community researchers possess tacit knowledge, a form of expertise that formally trained researchers do not have. Conclusion: We argue that in order to fully engage with such expertise, marginalized communities must be meaningfully involved in all levels of evidence building and decision making around programs impacting their communities. We equally emphasize the importance of setting up operating norms and clear definitions of partnership roles at the initial stages of establishing collaborations. Such a move gives the community a chance to trust their capabilities and contribute more meaningfully throughout the research processes.
Universal Rice Primer (URP) and Start Codon Target (SCoT) Markers in Studying Population Structures and Genetic Variation in Ferula AssafoetidaL. Accessions
Authors: Sadeghi Reyhane , Omidi Mansour , Azizinezhad Reza , Etminan Alireza , Badi Hassanali Naghdi 
Published: October 2021

Abstract
Ferula assafoetidais an herbaceous, annual and monocarpic genus of the Apiaceae family. So far, there has been common usage of Ferula oleo resinous gum in food and herbal medicines.The origin of F.assafoetidais can be traced back into the steppes of Iran and some reigns of Afghanistan with an extended distribution. Despite the economic value and therapeutic importance of F.assafoetida, only a few studies have reported on the genetic capacity of this herb.The present study was carried out on a set of 90 individual plants belonging to different populations of Ferula assafoetida L. via the start codon target marker (SCoT) and the universal rice primer (URP) markers. Twelve SCoT and twelve URP primers generated 192 and 149 polymorphic fragments, while having 16 and 12.41 fragments respectively on average per primer. The Polymorphism information content (PIC) for URP primers and ScoT ranged from 0.31 to 0.43 and 0.34 to 0.44 respectively, which indicated a good efficiency forboth markers. The diversity indices including heterozygosity (He), percentage of polymorphic bands (PPB), Shannon’s information index (I) and marker index (MI) were calculated based on the SCoT and URP data.The results revealed that SCoT primers were more efficient than URP primers in identifying genetic diversity within populations. Neighbor joining (Nj), as a base for clustering, classified 90 accessions into 5 and 6 groups using SCoT and URP data respectively. Moreover, the combined data (SCoT+URP) succeeded in classifying all accessions into 6 groups, although this did not correspond with the geographical distribution of accessions. Structure analysis divided 90 genotypesinto 5 subpopulations using SCoT and URP markers, whereas the combined data (SCoT+URP) divided the accessions into 6 subpopulations, which confirmed the classification achieved by the Nj method. Principal coordinate analysis (PCoA) corroborated these conclusions. According to the analysis of molecular variance) AMOVA(, a high percentage of genetic diversity was found within the species, suggesting a rich diversity of germplasm for breeding plans. The assessment of population structure demonstrated a high rate of gene flow and the mixture of populations. Taken together, our findings suggest SCoT markers are more efficient than URP markers in assessing genetic diversity among F.assafoetida genotypes. All in all, genetic diversity could help the selection of appropriate markers and special genotypes for breeding plans.
Diagnostic Utility of Cerebrospinal Fluid Procalcitonin in Neonatal Meningitis
Authors: N Meghana , Bandiya Prathik , S Niranjan H , Benakappa Naveen , J Bhavana , Bandyopadhyay Tapas 
Published: October 2021

Abstract
We aimed to study the diagnostic utility of cerebrospinal fluid (CSF) procalcitonin in neonates with meningitis. All the neonates with sepsis who qualified for lumbar puncture were prospectively evaluated. The neonates were classified as Meningitis and No meningitis group based on predefined criteria. CSF procalcitonin was estimated in these neonates along with cytological and biochemical parameters. A total of 113 neonates were included in the study with 29 in meningitis group and 84 in no meningitis group. The median procalcitonin levels was higher in babies with meningitis as compared to those without meningitis [0.194 (0.034 - 0.534) in meningitis group vs 0.012 (0.012-0.012) ng/ml in no meningitis group, p< 0.001]. The area under curve (AUC) for CSF procalcitonin was 0.867 (0.77 -0.95) and at a cut off level of 0.120 ng/ml CSF procalcitonin had a sensitivity of 83%, specificity of 84% and positive and negative predictive likelihood ratios of 5.35 and 0.20 respectively for the diagnosis of meningitis.Conclusion: CSF procalcitonin has a good diagnostic accuracy similar to other parameters in the diagnosis of neonatal meningitis and can be considered as an additional diagnostic marker particularly, when CSF culture is negative and cytochemical analysis is inconclusive.Trial registration number and date: CTRI/2018/09/015720 ; 14/09/2018
Simultaneous Determination of Combined and Free Concentrations of Atorvastatin and its Major Metabolite in Vitro and in Vivo Based on Ultraﬁltration Coupled with UPLC-MS/MS Method: Application to Protein Binding Rates and Metabolism Ability Study in Uremic Hemodialysis Patients.
Authors: Cao Ming-Chen , Fang Meng-Xiang , Wang Li , Huang Xin , Tang Bo-Hao , Shi Hai-Yan , Zheng Yi , Zhao Wei 
Published: October 2021

Abstract
Objectives: A rapid, accurate and specific ultraﬁltration with ultra performance liquid chromatographic -tandem mass spectrometry method has been validated for the simultaneous determination of the protein binding rate of atorvastatin for uremia patients. Methods: The plasma samples were centrifuged at 6000 r.min-1 for 15 min at 37℃ and the ultrafiltrate was collected. An ACQUITY UPLC® BEH C18 Column with gradient elution of water (0.1% formic acid) and acetonitrile was used for separation at a flow rate of 0.4 mL/min. The calibration curves of two analytes in serum showed excellent linearity over the concentration ranges of 0.05-20.00 ng/mL for atorvastatin, and 0.05-20.00 ng/mL for orth-hydroxy atorvastatin, respectively. Results: This method was validated according to standard FDA and EMA guidelines in terms of selectivity, linearity, detection limits, matrix effects, accuracy, precision, recovery, and stability[1-2]. This assay can be easily implemented in clinical practice to determine free and combined concentration of atorvastatin in uremic plasma. The final result showed that the average protein binding rate of plasma in uremic patients plasma was (86.58±2.04)%, RSD (%)=1.98, while the protein binding rate in plasma of patients with normal renal function was (97.62±1.96)%, RSD (%)=2.04, there was a significant difference in the protein binding rate of different types of plasma (P<0.05), and the protein binding rate decreases with increasing creatinine until it is stable at nearly 80%.The mean metabolite/prototype ratio of atorvastatin for patients with normal renal function and uremia were 1.085 and 0.974, respectively, suggesting that the metabolic process of atorvastatin in uremic patients may be inhibited. Conclusions: In this study, the total concentration of atorvastatin in uremic patients did not change significantly, but due to the decrease of protein binding rate, the concentration of free drug may fluctuate drastically, and the increase of free drug concentration will increase the drug distribution in the liver or muscle tissue. Uremic patients who was taking atorvastatin should be monitored regularly, ensure the safety of medication for this particular group.
“The World is Stopped, but We Keep Going”: Nurses’ Processes of Emotional Labor During the SARS-COVID19 Pandemic
Authors: Ahlmen Alessandra 
Published: October 2021

Abstract
Background
Under normal conditions, nursing requires a substantial amount of emotional labor. Past studies have found that nurses hide their emotions in order to embody a professional demeanor and display competence. There is little known about the CoVID pandemic’s impacts on nurses’ emotional labor, so this study examines nurses’ experiences during the pandemic and analyses the pandemic’s effects on the nurses’ emotional labor.
Results
After interviewing 15 CoVID nurses, I conclude that a majority (13/15 nurses) of the study participants felt fearful of their situation, yet they felt compelled to go to work because their duty to care for their patients. The nurses were only able to make the decision to go to work and fulfill their perceived duty because they were suppressing their fears.
Conclusion
I conclude that the nurses perform a slightly different version of emotional labor than what has been conceptualized by Hochschild (1979). In this process of emotional labor, the suppression of feelings forms the main action that is taken to meet external expectations that include a healthcare worker’s duty to care. The implications of this study suggest that nurses prioritize work over mental and physical health while not having the support systems needed to help them when they need it.
CCL3 Promotes Proliferation of Colorectal Cancer
Authors: Xie Xiaoliang , Su Jinda , He Yaqin , Yang Xiaoliang , Zhai Sifan , Rong Shikuo , Zhang Xin , Gong Fahai , Peng Geenyuan , Li Hai , Xu Guangxian 
Published: October 2021

Abstract
Background: Chemokines and their receptors can be expressed on the surface of inflammatory cells and malignant tumor cells in the body. Tumor cells can participate in directional organ metastasis by means of the ‘navigation effect’ of chemokines. Recent studies have found that chemokine C-C motif chemokine ligand 3 (CCL3) plays an important role in the invasion and metastasis of malignant tumors. Determining the effect of chemokine CCL3 and the related cytokine network on colorectal cancer is helpful in developing new therapeutic targets and anti-tumor drugs, as well as improving the survival rate of patients. Methods: In this study, protein chip technology was used to examine colorectal cancer tissue samples and identify the key factors of chemokine CCL3 and the toll-like receptors/nuclear factor-κB (TLR/NF-κB) pathway in cancer and metastatic lymph nodes. In addition, we used lentiviral vector technology for transfection to construct interference and overexpression cell lines. The aim of this experiment was to analyze the mechanism of CCL3 and TNF receptor associated factor 6 (TRAF6)/NF-κB pathway-related factors and their effect on the proliferation of colon cancer cells. Finally, the expression and significance of CCL3 in colorectal cancer tissues and its correlation with clinical pathology were studied by immunohistochemistry. Results: The results confirmed that CCL3 and C-C motif chemokine receptor 5 (CCR5) were expressed in adjacent tissues, colorectal cancer tissues, and metastatic cancer. The expression level was correlated with clinical stage and nerve invasion. Conclusions: The expression of chemokine CCL3 and receptor CCR5 was positively correlated with the expression of TRAF6 and NF-κB, and could promote the proliferation, invasion, and migration of colorectal cancer cells through TRAF6 and NF-κB.
The Globulin, Albumin To Globulin Ratio(A/G) and Neutrophil To Lymphocyterate (NLR) Do Not Perform Better Than CRP and ESR in PJI Diagnosis
Authors: Jiao Jing-bo , Huang Jin-Cheng , Chen Xiao , Jin Yi 
Published: October 2021

Abstract
Objective: To test the significance of serum C-reactive protein (CRP), the erythrocyte sedimentation rate (ESR), globulin(GLN) ,albumin to globulin ratio(A/G), and neutrophil to lymphocyterate(NLR) in periprosthetic joint infection (PJI) diagnosis. Methods: We retrospectively analyzed the clinical data of 115 patients diagnosed from January 2017 to December 2020 with PJI (PJI group, median age 71.00 years [range, 41-94 years], 24 males, 29 females), and aseptic loosening (aseptic group, median age 68.50 years [range, 34–85 years], 32 male, 30 female) in our department. Demographic data and thesensitivity and specificity of preoperative CRP, ESR, GLB,A/G, and NLR in PJI diagnosis were compared. Results: There were no significant differences when the demographic data of the two groups were compared. The expression level of CRP (24.89 mg/L([IQR], 0.1 to 200)), ESR (3 mm/h([IQR], 6 to 120)), GLB (31.70 g/L ( [IQR], 18.50 to 60.60)), and NLR (2.51([IQR], 0.93 to 12.23)) in the PJI group were higher than in the aseptic loosening group (CRP: 2.245 mg/L([IQR], 0.2 to 111.94);ESR: 16 mm/h ([IQR], 2 to 76); GLB: 26.60 g/L([IQR], 17.90 to 68.20); NLR: 1.85([IQR], 0.63 to 9.09)). The expression level of A/G (1.15([IQR], 0.55 to 2.16)) in the PJI group was lower than in the aseptic loosening group (1.51([IQR], 0.71 to 2.40)). Receiver operating characteristic (ROC) curve analysis demonstrated that the areas under the ROC curve (AUC) for CRP, ESR, GLB,A/G, and NLR were 0.841 (95% confidence interval, 0.761-0.903), 0.850 (0.771-0.910),0.747(0.658-0.824),0.779(0.692–0.851), and 0.708 (0.616–0.789), respectively. When GLB > 26.6g/L, A/G ＜1.32, and NLR >2.1 were set as the threshold values for the diagnosis of PJI, The sensitivity of GLB and A/G (90.57%, 81.13%) is higher than CRP (71.70%) and ESR (79.25%), but the specificity (GLB: 51.61%, A/G: 72.58%) was significantly lower than of CRP (87.10%) and ESR (75.81%). The ROC analysis of NLR showed that its sensitivity (73.58%) and specificity (70.97) had no significant advantages over CRP and ESR. Conclusion: globulin, A/G and NLR do not perform better than CRP and ESR in PJI diagnosis.
Metacognitively ALERT In Science
Authors: Willison John , Draper Claire , Fornarino Laura , Li Menghua , Sabri Tala , Shi Yan , Zhao Xinshuo 
Published: October 2021

Abstract
The development of student metacognition has the potential to provide some of the greatest learning gains in science classes, even outstripping the contribution of general intelligence. However, some science educators not only struggle with successfully prompting students to develop metacognition, but also find understanding the concept itself problematic. This struggle is compounded by models for metacognition that are in broad agreement about its nature, but vary widely in essential elements and the relationships between elements. This article presents a synthesis of metacognition studies in science education and further afield that draws together non-contested elements into a readily understood hierarchy of metacognitive knowledge and skills. The hierarchical framework comprises, from the foundation level, self-Aware of cognition, self-Monitor cognition, self-Evaluate cognition, self-Regulate cognition and self-Transfer cognition (AMERT). As a preliminary test of its viability, the AMERT framework is used to analyse interview data in which there was evidence of rich metacognitive thinking by students in the fourth, research-focused, year of a science degree. The degree used the six facets of the Research Skill Development (RSD) framework as labels for cognition. Rich epitomizing statements were found in interviews for each level of the AMERT hierarchy, providing tentative evidence of its viability for understanding metacognitive processes. The AMERT hierarchy of metacognition provides opportunities for teaching and learning, teacher action research, and research teams to investigate metacognition in the contexts of school and university science programs.
Transfer Learning via Artificial Intelligence for Guiding Implant Placement in the Posterior Mandible: an in vitro Study
Authors: Liu Yun , Chen Zhi-cong , Chu Chun-ho , Deng Fei-Long 
Published: October 2021

Abstract
Background: To explore the capacity of a single shot multibox detector (SSD) and Voxel-to-voxel prediction network for pose estimation (V2V-PoseNet) based artificial intelligence (AI) system in automatically designing implant plan. Methods: 2500 and 67 cases were used to develop and pre-train the AI system. After that, 12 patients who missed the mandibular left first molars were selected to test the capacity of the AI in automatically designing implant plan. There were three algorithms-based implant positions. They are Group A, B and C (8, 9 and 10 points dependent implant position, respectively). The AI system was then used to detect the characteristic annotators and determine the implant position. For every group, the actual implant position was compared with the algorithm-determined ideal position. And global, angular, depth and lateral deviation were calculate. One-way ANOVA followed by Tukey’s test was performed for statistical comparisons. The significance value was set at P< 0.05. Results: Group C represented the least coronal (0.6638±0.2651, range: 0.2060 to 1.109 mm) and apical (1.157±0.3350, range: 0.5840 to 1.654 mm) deviation, the same trend was observed in the angular deviation (5.307 ±2.891°, range: 2.049 to 10.90°), and the results are similar with the traditional statistic guide.Conclusion: It can be concluded that the AI system has the capacity of deep learning. And as more characteristic annotators be involved in the algorithm, the AI system can figure out the anatomy of the object region better, then generate the ideal implant plan via deep learning algorithm.
Effect of Different Moisture Content on Mechanical Parameters of Red Clay Under Freeze-Thaw Cycle
Authors: Lin Bin , Tian Zhuhua , Jiang Liang , Zhao Yongjia 
Published: October 2021

Abstract
One of the causes of damage in cold area projects is the freeze-thaw cycling action, which causes large changes in soil strength, resulting in soil deformation and destroying its soil stability. In order to investigate the effect of water content on the mechanical parameters of red clay soil under the action of freeze-thaw cycles, the solidification undrained triaxial test and consolidation test were carried out with red clay soil in Changzhi area, Shanxi Province, as the research object. The test results show that the stress-strain curve is hardening curve, with the increase of water content, the maximum shear stress, cohesion, internal friction angle, elastic modulus, compression modulus and shear modulus are decreasing, and Poisson ratio is gradually increasing. The mechanical parameters of 0 freeze-thaw cycles are greater than 12 freeze-thaw cycles. With the increase in water content, the difference in shear stress between two freeze-thaw cycles was decreasing under the same circumferential pressure. 0 freeze-thaw cycles, the decreasing trend of cohesion increased from 4.48% to 35.88%, and the elastic modulus decreased up to 69.61%. 12 freeze-thaw cycles, the decreasing trend of cohesion decreased from 65.38% to 5.93%, and the elastic modulus showed a linear decreasing relationship. The decreasing trend of the internal friction angle remained consistent with the gradual increase. The Poisson ratio was 0.21-0.29 and 0.24-0.31 for the two cycles, respectively. The shear modulus at 0 freeze-thaw cycles was 1.86-1.16 times higher than that at 12 freeze-thaw cycles, and the difference decreased gradually with the increase in water content. The increase in water content made the soil more prone to shear deformation.