bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid Intelligent Predictive Maintenance Model for Multiclass Fault Classification
Authors: Buabeng Albert , Simons Anthony , Frimpong Nana Kena , Ziggah Yao Yevenyo 
Published: July 2021

Abstract
Data recorded from monitoring the health condition of industrial equipment are often high-dimensional, nonlinear, nonstationary and characterised by high levels of uncertainty. These factors limit the efficiency of machine learning techniques to produce desirable results when developing effective fault classification frameworks. This paper sought to propose a hybrid artificial intelligent predictive maintenance model based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN), Principal Component Analysis (PCA) and Least Squares Support Vector Machine (LSSVM) optimised by the combination of Coupled Simulated Annealing and Nelder-Mead Simplex optimisation algorithms (ICEEMDAN-PCA-LSSVM). Here, ICEEMDAN was first employed as a denoising technique to decompose signals into series of Intrinsic Mode Functions (IMFs) of which only relevant IMFs containing the relevant fault features were retained for signal reconstruction. PCA was then employed as a dimension reduction technique through which the resulting set of uncorrelated features extracted served as input for LSSVM for classifying various fault types. The proposed technique is compared with three established methods (Linear Discriminant Analysis (LDA), Support Vector Machine (SVM) and Artificial Neural Network (ANN)) with multiclass classification capabilities. The various techniques were tested on an experimental UCI machine learning benchmark data obtained from multi-sensors of a hydraulic test rig. The results from the analysis revealed that the proposed ICEEMDAN-PCA-LSSVM technique is versatile and outperformed all the compared classifiers in terms of accuracy, error rate and other evaluation metrics considered. The proposed hybrid technique drastically reduced the redundancies and the dimension of features, allowing for the efficient consideration of relevant features for the enhancement of classification accuracy and convergence speed.
Machine Learning Augmented Causal Inference To Estimate The Treatment Effect of Tranexamic Acid In Traumatic Brain Injury
Authors: Meyer Imke , Moyer Jean-Denis , Dreyfus Aliénor , Mathieu Boutonnet , Cungi Pierre-Julien , Foucrier Arnaud , Harrois Anatole , James Arthur , Nadal Jean-Pierre , Josse Julie , Gauss Tobias 
Published: July 2021

Abstract
Background: The CRASH-3 trial provides a high level of evidence on the question whether to administer Tranexamic Acid (TXA) for Traumatic brain injury (TBI). For numerous other research questions, the available evidence will not correspond to such a level of evidence and will rely on observational evidence only. The development of methodological alternatives to analyze observational data is necessary. The Crash-3trial provided the opportunity to explore the effect of TXA on TBI mortality with two distinct causal inference methods using incomplete observational data. Methods: Two causal inference techniques, inverse propensity weighting (IPW) and doubly robust method (DR), associated with machine learning method techniques to handle missing data, explored the effect of TXA administration on 30-day head injury related death expressed in registry data. The effect was expressed as Average Treatment Effect (ATE). TBI was defined as a head Abbreviated Injury Score >2. The hypothesis expected the results to concur with the results obtained with the CRASH-3 benchmark trial. Results: Between September 2010 and February 2019, from a total of 20037 registry cases 8269 corresponded to the definition of TBI. A total of 683 received TXA and 7565 did not. The observed head-injury related 30-day hospital mortality rate in the group TXA was 30% (205/683) compared to 15% in the group no-TXA (1102/7565, p<0.001). Causal inference with the IPW approach indicates an ATE with a higher mortality after TXA independently of the approach applied to manage missing data (ATE 0.10 (95% IC [0.06, 0.14]) or 0.09 (95% IC [0.03, 0.15])). ATE obtained with DR did not show any effect on mortality independently of the approach applied to missing data (ATE -0.01 (95% IC [-0.05, 0.03]) or -0.01 (95% IC [-0.07, 0.05])). No effect was observed in predefined subgroups. Conclusions: This study demonstrated the feasibility to apply causal inference techniques in incomplete observational data. DR based on a stronger theoretical background compared to IPW, did not show a significant association of TXA administration with in-hospital mortality. This result provides a strong incentive to explore augmented causal inference techniques on incomplete observational data coupled with techniques to handle missing values.
Outstanding Tunable Electrical And Optical Characteristics In Monolayer Silicene At high Terahertz Frequencies
Authors: Nejad Hamed Emami , Mir Ali , Farmani Ali , Talebzadeh Reza 
Published: July 2021

Abstract
Silicene, a zero-gap semi-metallic advanced material, has received much attention due to its extraordinary electronic and optical characteristics, which could be used in plasmonics nano-devices. This material presenting as a tunable material without degrading its high carrier mobility. By applying the rigorous numerical techniques, the optical and electrical properties of silicene at high terahertz frequencies are calculated here. Beneath the inﬂuence of environmental effects such as the Fermi level, temperature, and external electric field, on the optical conductivity and refractive index of silicene are investigated using the tight-binding model. The effect of Fermi level from zero to 1 eV, external electric field from zero to 2.5 eV, and temperature from 5 to 400 K are investigated on the optical properties of silicene. One of the interesting features of Silicene is its adjustable bandgap, which we are present here.
The Influence of Stream Barriers and The Hypothetical Origin of Highlands Fishes.
Authors: Fadzil Nurul F.M. , Hashim Zarul H. , Sah Amir S. R. M. , Sah Shahrul A. M. , Aziz Amirul A. A. , Suki Ermizan , Mohammad Mohd S. , Hoole Dave 
Published: July 2021

Abstract
Instream barriers such as waterfalls and man-made dams may result in distinct fish assemblages on both sides of the barriers. To determine the influence of these barriers on fish assemblages, a study was conducted in Sungai Enam that have substantial barriers including an 18-m high waterfall with 6.1% slope. Fish were captured using a backpack electrofishing gear together with scoop nets. Thirteen fish species from six families were recorded along this stream, but only Poropuntius smedleyi (Cyprinidae) can be found along the stream and the reach above the waterfall. Studies on a second site, Sungai Kooi, that has a 65m high and 90° slope waterfall, revealed eight fish species from three families, but only P. smedleyi and Devario regina (Cyprinidae) occurred above the waterfall. The number of species in both streams increases from upstream to downstream. A chi-square test revealed that the total number of species among reaches in Sungai Enam differed significantly. Fish species found above the waterfall are known to have no special adaptations to climb or jump over the barriers. Therefore, to explain their existence above the substantial waterfalls especially in Sungai Kooi, we proposed three hypotheses: (1) the world was once flooded and there was no limitation to fish distribution, (2) fish species assemblages were separated by land uplifting, and (3) there are other stream branches enabling fish movement into respective streams. Further studies are required to confirm these hypotheses.
Effects of Hemicellulose on Recycling Performance of Paper Based on Sisal Fibers
Authors: Qin Shaoliu , Chen Yian , Tao Shenming , Zhang Cunzhi , Qin Xingzhen , Chen Pan , Qi Haisong 
Published: July 2021

Abstract
The pulp and paper industry growingly paid attention to the recycling and maintenance of waste paper products. Each paper-making cycle would lead to a sharp drop in the mechanical properties of the cellulosic paper, which was related to the hornification effect. Here, the recycling performance of the holocellulose paper was studied, compared with that of the cellulosic paper. Holocellulose fibers from sisal were fabricated by a gentle delignification method, and the well-preserved cellulose and hemicellulose components hindered the cocrystallization and aggregation of cellulose fibril. Holocellulose paper exhibited much more favorable recycling properties, compared with cellulosic paper. After 5 runs of recycling, holocellulose paper still shown an ultimate strength as high as 25 MPa (reduced from 35 MPa), a decrease of 27.1 %. However, cellulosic paper experienced a substantial loss in ultimate strength from 35 MPa to 9 MPa, a decrease of about 74 %. This can be attributed to the core-shell structure from cellulose and hemicellulose to weaken the hornification effect.
Single Adsorption of Diclofenac and Ronidazole from Aqueous Solution on Commercial Activated Carbons: Effect of Chemical and Textural Properties
Authors: Moral-Rodríguez Adriana I. , Leyva-Ramos Roberto , Mendoza-Mendoza Esmeralda , Díaz-Flores Paola Elizabeth , Carrales-Alvarado Damarys H. , Alexandre-Franco María F. , Fernández-González Carmen 
Published: July 2021

Abstract
The importance of the textural and physicochemical characteristics upon the adsorption capacity of the commercial activated carbons (ACs) Coconut, Wood, Merck, Darco and Norit towards ronidazole (RNZ) and diclofenac (DCF) from water solution was investigated thoroughly in this work. At pH = 7, Coconut AC and Wood AC presented the highest adsorption capacity towards RNZ (444 mg/g) and DCF (405 mg/g), correspondingly. The maximum mass of RNZ adsorbed onto Coconut AC was higher in this study than those outlined previously in other works. Besides, the maximum capacity of Wood AC for adsorbing DCF was comparable to those found for other ACs. The findings disclosed that the adsorption capacity of all the ACs was remarkably increased by surface area and was favored by incrementing the acidic site concentration. The π-π stacking interactions were the predominant adsorption mechanism for the RNZ and DCF adsorption on ACs, and the acidic sites favored the adsorption capacity by activating the π-π stacking. Electrostatic interactions did not influence the adsorption of RNZ on Coconut AC, but electrostatic repulsion decreased that of DCF on Wood AC. In the range of 15–25°C, the adsorption of RNZ and DCF on the Coconut and Wood ACs was endothermic, but the capacity remained essentially constant by elevating the temperature from 25 to 35°C.
Arsenic, Lead, Cadmium, Mercury and Hypertension among Asian Populations in the United States: NHANES 2011-2016
Authors: Tang Jun , Zhu Qinheng , Xu Yang , Zhou Yexinyi , Zhu Longtao , Jin Lanfei , Chen Guangdi , Zhao Hao 
Published: July 2021

Abstract
Background:Asian Americans have been reported having higher arsenic (As), lead (Pb), cadmium (Cd) and mercury (Hg) levels, comparing with non-Asian Americans. Exposure to these metals/metalloids have been associated with risk of hypertension, however, limited studies have explored the associations of As, Pb, Cd and Hg levels with hypertension among general Asian Americans. This study aimed to investigate the associations of As, Pb, Cd and Hg levels with blood pressure and prevalence of hypertension among Asian Americans who participated in the 2011-2016 National Health and Nutrition and Examination Survey (NHANES).Methods:The study included participants aged 20 years and older with determinations of As, Pb, Cd and Hg in blood (n=7913) and urine (n=3954). These metals levels were measured by inductively coupled plasma mass spectrometry. Systolic (SBP) and diastolic blood pressure (DBP) levels were examined through a standardized protocol. Censored normal regression model and logistic regression model were employed to explore the associations of As, Pb, Cd and Hg levels with blood pressure levels and hypertension respectively, and potential confounders were also adjusted in these regression models.Results:In multivariable-adjusted models, blood Hg levels were associated with increased SBP (tertile 2 vs. tertile 1: β=-0.9 mmHg, 95%CI:-6.1, 4.4; tertile 3 vs. tertile 1: β=5.6, 95%CI: 0.0, 11.2; P trend=0.003), DBP level (tertile 2 vs. tertile 1: β=4.1 mmHg, 95% CI: 0.1, 8.1; tertile 3 vs. tertile 1: β=5.8 mmHg, 95% CI: 1.9, 9.7; P trend=0.003) and prevalence of hypertension (tertile 2 vs. tertile 1: OR=1.2, 95% CI: 0.4, 3.4; tertile 3 vs. tertile 1: OR=2.8, 95% CI: 1.1, 7.3; P trend=0.001) among Asian Americans. The positive associations were also found between blood methyl-Hg level and blood pressure levels and prevalence of hypertension, whereas we did not identify significant associations of As, Pb and Cd levels in blood and urine with blood pressure levels and hypertension among Asian Americans. Conclusions:Highly exposed to Hg level among Asian Americans might associated with increased blood pressure levels and prevalence of hypertension. Further prospective studies with larger sample size should be performed to warrant the results.
Modeling for a Small-hole Drilling Process of Engineering Plastic PEEK by Taguchi-based Neural Network Method
Authors: Chang Dar-Yuan , Lin Chien-Hung , Wu Xing-Yao 
Published: July 2021

Abstract
Engineering plastics have specific properties in the strength, hardness, impact resistance, and aging persistence, often used for structural plates and electronic components. However, the holes made by the drilling process always shrink after the cutting heat dispersion due to their high thermal expansion coefficient. Especially for small-hole fabrication, drilling parameters must be discussed thoughtfully to acquire a stable hole quality. This study developed parameter models by the Taguchi-based neural network method to save the experimental resources on drilling of engineering plastic, polyetheretherketone (PEEK). A three-level full-factorial orthogonal array experiment, L27, was first conducted for minimizing the thrust force, hole shrinkage in diameter, and roundness error. The experiments were operated by a peck-drilling process with cyclic lubricant, and the diameter was 1 mm. In terms of the network modeling, four variables were designated to the input layer neurons including the spindle speed, depth of peck-drilling, feed rate, and thrust force detected; and that of the output layer were the diameter shrinkage and roundness of the hole drilled. The models were trained by a stepped-learning procedure to expand the network’s field information stage by stage. After three stages of training, the models developed can provide precise simulations for the network’s training sets and accurately predict the hole’s characteristics for the non-trained cases.
Integrated and Sustainable Preparation of Functional Nanocellulose via Formic Acid/Choline Chloride Solvents Pretreatment
Authors: Wu Meiyan , Liao Keyu , Liu Chao , Yu Guang , Rahmaninia Mehdi , Li Haiming , Li Bin 
Published: July 2021

Abstract
Formic acid/choline chloride (F-DES), one of high-efficiency deep eutectic solvents (DES) for lignocellulose pretreatment, has great potential in the production of nanocellulose (NC). In this work, the integrated preparation of cellulose nanocrystals (CNCs) and cellulose nanofibrils (CNFs) was developed using F-DES pretreatment and the followed ball milling. Then, the properties of the resultant NC products (F-NC) were comprehensively investigated. The NC samples obtained from direct ball milling and urea/choline chloride (U-DES) plus ball milling (i.e. B-NC, and U-NC, accordingly) were used for comparison. Characterization results showed that similar to U-DES, F-DES pretreatment could effectively enhance the fibrillation of cellulose and facilitate the followed ball milling for the production of NC, and the yields of NC (CNCs plus CNFs) were over 95%. Yet, compared with B-NC and U-NC, F-NC with surface ester groups had better ability to stabilize the oil/water interface for further preparation of oil-in-water Pickering emulsion. In addition, F-DES has lower viscosity than U-DES. The recovery rate of F-DES could reach 92% after three cycles, and the recycled F-DES without obvious increase of viscosity showed better reusability to make the whole process clean and sustainable.
Neuropathic Pain in Breast Cancer: A Cohort Study in 279 Patients with a Total of 1141 High-Concentration Capsaicin Patch Applications
Authors: Dupoiron Denis , JUBIER-HAMON Sabrina , SEEGERS Valérie , BIENFAIT Florent , PLUCHON Yves-Marie , LEBREC Nathalie , JAOUL Virginie , DELORME Thierry 
Published: July 2021

Abstract
Background: Peripheral neuropathic pain (PNP) is frequent in patients with breast cancer (BC) and BC survivors (BCSs). Data supporting the use of high-concentration (179 mg) capsaicin patches (HCCP) in PNP in oncology are limited. This observational study evaluated the effectiveness and safety of HCCP applications in BCSs/BC patients with PNP. Methods: The study took place in the Anaesthesiology and Pain Medicine department of a French comprehensive cancer centre (Angers, France). For all patients treated with HCCP from 01-Jan-2014 to 18-Dec-2018 data have been collected retrospectively over this period, and for those continuing to receive HCCP after 18-Dec-2018 data collection continued prospectively until 14-Oct-2020. Treatment with HCCP was at the entire discretion of the treating pain specialists. Independent pain specialists completed the Clinical Global Impression of Change (CGIC) for each included patient based on data extracted from patient’s electronic medical record completed by the treating pain specialist after each HCCP application. Results: This study included 279 patients (1141 HCCP applications). Patients were on average 59.2 years old; 54.5% had received at least one medication for their PNP before entering the study. PNP was most frequently caused by surgery (62.4%) followed by chemotherapy (11.8%) and radiotherapy (6.5%). Patients received on average 4.1 repeated HCCP applications; 68.8% received HCCP as an add-on to systemic therapy and 27.9% as first-line therapy. A complete/important analgesic effect was reported at least once by 82.3% of patients; 6.0% of patients reported no effect at all. Complete/important effect was observed in 70.7% and 56.0% of applications in post-surgical PNP existing for <12 months and >10 years, and 52.7% and 52.3% of applications in chemotherapy- or radiotherapy-induced PNP respectively. HCCP application was associated with application site reactions in 54.4% of patients with burning sensation or pain (45.9%) and erythema (30.8%) being the most frequently reported. High blood pressure was reported in 7.2% and frostbite, likely due to local cooling, in 1.4% of patients. Conclusions: This real-world chart review evaluating HCCP under usual practice conditions in a large cohort of patients provides important effectiveness and safety information to clinicians when considering topical options to treat PNP in BCSs/BC patients. Trial registration: Not applicable
Identifying Six Novel Genetic Variants and Alterations in Peripheral T-cell Subsets in Porokeratosis Patients
Authors: Tao Lu , Huang Yike , Yan Kexiang , Li Caihua , Zhang Zhenghua , Shen Lei 
Published: July 2021

Abstract
Porokeratosis (PK) is considered a skin-specific autoinflammatory keratinization disease. Intriguingly, four causative genes of PK are in turn arranged in mevalonate pathway, with MVD variants being the commonest followed by MVK variants in a cohort of Chinese patients. Based on our previous findings, PK patients with MVK or MVD variants show different phenotypes. Using targeted exome sequencing and exonic CNV screening, we identified 14 mutations in the 26 PK patients, including six novel mutations (MVK: c.118_226 + 1337dup, c.388_392delGATATinsC, c.613A > T, c.768G > C, and MVD: c.250C > T, c.988T > G). Peripheral T-cell subsets were analyzed by flow cytometry in PBMCs from 22 PK patients with MVK or MVD variants and 27 normal controls (NCs). In contrast to NCs, significantly decreased frequencies of CD8+ and Vγ9Vδ2 T cells were observed in the PK patients with MVD variants. Moreover, it was found that dysregulated secretion of pro-inflammatory cytokines by T-cell in both PK patients with MVK and MVD variants. Collectively, our findings enriched the Human Gene Mutation Databases and provided the cues to further studies on autoreactive CD8 + T and γδT cells in the pathogenesis of PK.
Effects of Temporally Heterogeneous Hydrological Experiences On Subsequent Performance And Plasticity of Exotics And Natives From Different Habitats
Authors: Wang Shu , Callaway Ragan M. 
Published: July 2021

Abstract
Aims Temporally heterogeneous environments have crucial influences on plant survival and growth, leading to greater variations in plasticity, but direct experimental evidence is rare. Our objective was to investigate how early experience with temporally heterogeneous water conditions may affect the subsequent performance and plasticity of plants in response to water availability.Methods We subjected eight plant species from xeric, mesic or hydric habitats, four exotic and four native to North America, to initial exposure to either an alternating drought and inundation treatment (Ehet, heterogeneous experience) or a consistently moderate water supply (Ehom, homogeneous experience), and to a second round of drought, moderate watering or inundation treatments.Results Compared to Ehom, Ehet increased the final total mass across all species, but did not affect mortality. For species in groups, Ehet relative to Ehom decreased the initial total mass of native species, but increased the mass of exotic species, but natives had greater late growth than exotics after Ehet. Ehet also increased the total mass and late growth of mesic species more than xeric and hydric species.Conclusions Our findings suggest that previous exposure to temporal heterogeneity in water supply may be not beneficial immediately, but can be beneficial for plant late growth and plastic responses under water stress. Species from different habitats, and exotics vs. natives showed contrasting abilities to exploit such benefits from early heterogeneous experience, regardless of their final performance. This revealed the importance of modulating future plastic responses, or “metaplasticity”.
Improvement Growth, Yield, and Seed Quality of Pea Plants Using Glass Fertilizers and Bio-Fertilizers.
Authors: Sayed Eman G. , Ouis Mona A. 
Published: July 2021

Abstract
A new glass fertilizer (GF) system of main composition 60P2O5.30K2O.3.5ZnO. 3.5MnO.3Fe2O3 was developed in response to the needs of pea plants with bio-fertilizers (Rhizobium leguminosarum. Bv.vicieae, Bacillus megaterium var phosphaticum, Bacillus circulans).GF was prepared by the traditional melt quenching technique at 1150°C. Characterization of prepared system was done using FTIR spectra before and after immersion in a simulated actual agriculture medium like 2% citric acid and distilled water. During two winter seasons, two successful field experiments were conducted at Cairo University's Eastern Farm to determine the impact of chemical, glass, and bio-fertilizers on plant growth, yield attributes, and seed quality of pea plant. Control treatment were without any addition of recommended chemical fertilizers and other treatments were full dose of recommended chemical fertilizers (100%RDF), glass fertilizers at rate 60 kg fed− 1, Glass fertilizers at rate30 kg fed− 1, 50% RDF ,100%RDF + bio-fertilizers, Glass fertilizers at rate 60 kg fed− 1 + bio-fertilizers, glass fertilizers at rate 30 kg fed− 1+ bio-fertilizers, 50%RDF + bio-fertilizers. Plots received 60 kg fed− 1 glass fertilizers + bio-fertilizers show the highest significant increment in plant growth, number and weight of pods plant− 1, number of grain pods− 1, grain yield, biological yield, P%, k% in pea leaves and quality of pea seeds compared with plots without any addition (control) in both seasons.