bluuebunny/crossref_metadata_2025_split huggingface dataset:
A platform for power management based on indoor localization in smart buildings using long short‐term neural networks
Authors: Elbes Mohammed , Alrawashdeh Thamer , Almaita Eyad , AlZu'bi Shadi , Jararweh Yaser 
Published: January 2020

AbstractLocation‐based services (LBSs) have drastically changed the way smart cities and smart buildings operate, giving a new dimension to the life of citizens. LBS have various applications ranging from power management, marketing, vehicle to everything communication to social networking, and many other applications. The concept of LBS relies on the estimation of a mobile device location either inside a city or a building. In this work, we present our three‐layer collaborative LBS platform for various types of users and buildings. The first of these layers is the hardware layer consisting of the hardware used for location estimation inside smart buildings. On top of the hardware layers exists the indoor localization layer, at which we implement our indoor localization algorithms using long short‐term neural networks for location estimation. Finally, the collaborative LBS system lies on top of other layers. The novelty of our approach stems from providing a complete layered architecture for LBS usage for power management. The proposed system offers collaborative features and services, that is, input to power management system that optimizes power usage in smart buildings based on user locations.
Identifying US business cycle regimes using dynamic factors and neural network models
Authors: Soybilgen Barış 
Published: January 2020

AbstractWe use dynamic factors and neural network models to identify current and past states (instead of future) of the US business cycle. In the first step, we reduce noise in data by using a moving average filter. Dynamic factors are then extracted from a large‐scale data set consisted of more than 100 variables. In the last step, these dynamic factors are fed into the neural network model for predicting business cycle regimes. We show that our proposed method follows US business cycle regimes quite accurately in‐sample and out‐of‐sample without taking account of the historical data availability. Our results also indicate that noise reduction is an important step for business cycle prediction. Furthermore, using pseudo real time and vintage data, we show that our neural network model identifies turning points quite accurately and very quickly in real time.
Optimal forecast combination based on ensemble empirical mode decomposition for agricultural commodity futures prices
Authors: Fang Yongmei , Guan Bo , Wu Shangjuan , Heravi Saeed 
Published: January 2020

AbstractImproving the prediction accuracy of agricultural product futures prices is important for investors, agricultural producers, and policymakers. This is to evade risks and enable government departments to formulate appropriate agricultural regulations and policies. This study employs the ensemble empirical mode decomposition (EEMD) technique to decompose six different categories of agricultural futures prices. Subsequently, three models—support vector machine (SVM), neural network (NN), and autoregressive integrated moving average (ARIMA)—are used to predict the decomposition components. The final hybrid model is then constructed by comparing the prediction performance of the decomposition components. The predicting performance of the combination model is then compared with the benchmark individual models: SVM, NN, and ARIMA. Our main interest in this study is on short‐term forecasting, and thus we only consider 1‐day and 3‐day forecast horizons. The results indicate that the prediction performance of the EEMD combined model is better than that of individual models, especially for the 3‐day forecasting horizon. The study also concluded that the machine learning methods outperform the statistical methods in forecasting high‐frequency volatile components. However, there is no obvious difference between individual models in predicting low‐frequency components.
A multi‐country dynamic factor model with stochastic volatility for euro area business cycle analysis
Authors: Huber Florian , Pfarrhofer Michael , Piribauer Philipp 
Published: January 2020

AbstractThis paper develops a dynamic factor model that uses euro area country‐specific information on output and inflation to estimate an area‐wide measure of the output gap. Our model assumes that output and inflation can be decomposed into country‐specific stochastic trends and a common cyclical component. Comovement in the trends is introduced by imposing a factor structure on the shocks to the latent states. We moreover introduce flexible stochastic volatility specifications to control for heteroscedasticity in the measurement errors and innovations to the latent states. Carefully specified shrinkage priors allow for pushing the model towards a homoscedastic specification, if supported by the data. Our measure of the output gap closely tracks other commonly adopted measures, with small differences in magnitudes and timing. To assess whether the model‐based output gap helps in forecasting inflation, we perform an out‐of‐sample forecasting exercise. The findings indicate that our approach yields superior inflation forecasts, both in terms of point and density predictions.
Low incidence of posttransplant lymphoproliferative disorder after allogeneic stem cell transplantation in patients with lymphoma treated with rituximab
Authors: Fujimoto Ayumi , Hiramoto Nobuhiro , Yamasaki Satoshi , Inamoto Yoshihiro , Ogata Masao , Sugio Yasuhiro , Fukuda Takahiro , Uchida Naoyuki , Ikegame Kazuhiro , Matsuoka Ken‐ichi , Shiratori Souichi , Kondo Tadakazu , Miyamoto Toshihiro , Eto Tetsuya , Ichinohe Tatsuo , Kanda Yoshinobu , Atsuta Yoshiko , Suzuki Ritsuro ,   Complication Working Group of the Japan Society for Hematopoietic Cell Transplantation
Published: January 2020

AbstractPosttransplant lymphoproliferative disorder (PTLD) is a serious complication after hematopoietic stem cell transplantation (HSCT). Several studies of risk factors for PTLD have been reported; however, the probability of, and risk factors for, PTLD in patients with lymphoma is unknown. Japanese nationwide transplant registry data from 5270 patients with lymphoma after allogeneic HSCT were analyzed. Mature B‐cell, T/NK‐cell, and T‐cell lymphoblastic subtypes accounted for 49%, 26%, and 9.6% of lymphoma cases, respectively. Rituximab was used in 1678 lymphoma patients, most of whom (89%) received HSCT for mature B‐cell lymphoma. Thirty‐one patients with lymphoma developed PTLD, representing a probability of 0.77% at 2 years post‐HSCT, which did not differ significantly from that in patients with other diseases (P = .98). Year of HSCT after 2010 (hazard ratio [HR] = 5.6, 95% confidence interval [CI], 1.48‐21.3), antithymocyte globulin (ATG) use in the conditioning regimen (HR = 4.5, 95% CI, 1.61‐12.5), and no rituximab use before HSCT (HR = 3.2, 95% CI, 1.26‐7.90) were identified as risk factors for PTLD. Probabilities of PTLD at 1 year post‐HSCT according to rituximab and ATG use were 0.23% (rituximab+, ATG−), 0.75% (rituximab−, ATG−), 1.25% (rituximab+, ATG+), and 3.53% (rituximab−, ATG+). Regarding lymphoma subtypes, patients with mature B‐cell lymphoma had the lowest incidence of PTLD (0.35% at 2 years). Among high‐risk patients receiving ATG, the mortality rate due to infection was elevated in those previously treated with rituximab (22%) relative to those without (14%); however, the difference was not significant (P = .10). Rituximab use before HSCT significantly reduces the risk of PTLD. Adding rituximab to the conditioning regimen is potentially a good strategy to prevent the development of PTLD in high‐risk patients.
Riparian canopy openings on mountain streams: Landscape controls upon temperature increases within openings and cooling downstream
Authors: Coats William Alan , Jackson Charles Rhett 
Published: January 2020

AbstractHow much stream temperatures increase within riparian canopy openings and whether stream temperatures cool downstream of these openings both have important policy implications. Past studies of stream cooling downstream of riparian openings have found mixed results including rapid, slow, and no cooling. We collected longitudinal profiles of stream temperatures above, within, and below riparian forest openings along stream segments within otherwise forested riparian conditions to evaluate how sensitivity of stream temperatures to riparian conditions varied across landscape factors. We conducted these temperature surveys across openings in 12 wadeable streams within and near the Upper Little Tennessee River Basin in western North Carolina and northeastern Georgia. Basin areas ranged from 74 to 6,913 ha, and bankfull channel widths varied from 3.4 to 16.4 m. Stream temperatures were collected every 15 min using HOBO® data loggers for 2 weeks in each stream, repeated later in summer in some streams. Reference temperatures were highest in stream reaches at low elevations and with large drainage areas. Stream temperature increases in the middle of riparian gaps were highest when streams drained small high‐elevation watersheds, and increases at the end of openings were highest when the opening length was large relative to watershed size. Downstream from openings, cooling rates were greatest in small, high‐elevation headwater streams and also increased with larger increases in canopy cover. Stream segments that warmed the most within openings also featured higher cooling rates downstream. The data show that stream temperature sensitivity to canopy change is highly dependent on network position and watershed size. A better understanding of stream temperature responses to riparian vegetation may be useful to land managers and landowners prioritizing riparian forest restoration.
A biomimetic‐structured wood‐derived carbon sponge with highly compressible and biocompatible properties for human‐motion detection
Authors: Chen Yipeng , Hu Lintong , Li Caicai , Dang Baokang , Sun Qingfeng , Zhai Tianyou , Li Huiqiao 
Published: January 2020

AbstractPiezoresistive sensors, as an indispensable part of electronic and intelligent wearable devices, are often hindered by nonrenewable resources (graphene, conventional metal, or silicon). Biomass‐derived carbonaceous materials boast many advantages such as their light weight, renewability, and excellent chemical stabilization. However, a major challenge is that the strength and resilience of carbon‐based piezoresistive materials still falls short of requirements due to their random microarchitectures which cannot provide sufficiently good stress distribution. Encouraged by the excellent compressible properties and extraordinary strength of the Thalia dealbata stem, we propose a wood biomass‐derived carbon piezoresistive sensor with an artificial interconnected lamellar structure like the stem itself. By introducing a freezing‐induced assembly process, a wood‐based, completely delignified, nano‐lignocellulose material can be built into a “bridges supported lamellar” type architecture, where subsequent freeze‐drying and pyrolysis results in carbon aerogel monoliths. The resultant bioinspired carbon sponge has high compressibility and strength, of the order of two to five times higher than that of conventional metal, carbon, and organic materials. Combined with excellent biocompatible properties and chemical durability, these are useful properties for intelligent wearable devices and human‐motion detection.image
V4C3Tx MXene: A promising active substrate for reactive surface modification and the enhanced electrocatalytic oxygen evolution activity
Authors: Du Cheng‐Feng , Sun Xiaoli , Yu Hong , Fang Wei , Jing Yao , Wang Yonghui , Li Shuiqing , Liu Xianhu , Yan Qingyu 
Published: January 2020

AbstractPresented are the synthesis, characterizations, and reactive surface modification (RSM) of a novel nine atomic layered V4C3T
x MXene. With the advantages of the multilayered V4C3T
x MXene that can simultaneously support the RSM reaction and keep the inner skeleton stable, a series of amorphous Ni/Fe/V‐ternary oxide hydroxides thin layer can be successfully modified on the surface of the V4C3T
x MXene (denoted as MOOH @V4C3T
x, M = Ni, Fe, and V) without disrupting its original structure. Attributed to the in situ reconstruction of highly active oxide hydroxide layer, the nanohybrids exhibited an enhanced oxygen evolution reaction (OER) activity and excellent long‐time stability over 70 hours. In particular, a current density of 10 mA cm−2 can be reached by the nanohybrid with the optimized Ni/Fe ratio at an overpotential (η) as low as 275.2 mV, which is comparable to most of the state‐of‐the‐art OER catalysts and better than other MXene‐based derivatives. Demonstrated by the tunable physicochemical properties and excellent structural stability of these nanohybrids, we may envision the promising role of the M4X3‐based MXenes as substrates for a wide range of energy conversion and storage materials.image
The role of oxygen vacancies in the high cycling endurance and quantum conductance in BiVO4‐based resistive switching memory
Authors: Zhao Mengting , Yan Xiaobing , Ren Long , Zhao Mengliu , Guo Fei , Zhuang Jincheng , Du Yi , Hao Weichang 
Published: January 2020

AbstractResistive random access memory (RRAM) has emerged as a new discipline promoting the development of new materials and devices toward a broad range of electronic and energy applications. Here, we realized a memristive device with weak dependence on the top electrodes and demonstrated the quantized conductance (QC) nature in BiVO4 matrix. The electronic properties have been investigated by the measurements of I‐V curves, where the resistive switching (RS) phenomenon with stable switching ratio and excellent long‐term retention capabilities are identified. Two more inert materials, TiN and Pd, are applied as the top electrodes to exclude the influence of electrodes on the RS states and QC behavior. The X‐ray photoelectron spectroscopy results and transport measurements reveal that the conductive filament (CF) is composed by elemental bismuth. The naturally existed oxygen vacancies in BiVO4 matrix plays as the role of catalyst in the formation and dissolution of CF in BiVO4‐based RRAM device, which is the primary cause for the observed weak dependence of switching performance in this device on the type of top electrodes. Our results clearly illustrate that BiVO4 could be a new idea platform to realize the high scalability, high cycling endurance, and multilevel storage RRAM devices.image
SENP1/HIF‐1α axis works in angiogenesis of human dental pulp stem cells
Authors: Zhou Jie , Sun Cong 
Published: January 2020

AbstractDental diseases seriously affect the quality of life. Studying the mechanism of dental pulp stem cells (DPSCs) had far‐reaching significance for the therapy of dental diseases. In this paper, we studied the small ubiquitin‐like modifier‐specific protease 1 (SENP1) and hypoxia‐inducible factor (HIF)‐1α functions in angiogenesis under anoxic conditions. Flow cytometry was used to identify and sort DPSCs. Reverse transcription‐quantitative polymerase chain reaction and Western blot were carried out to analyze the expression of von Willebrand factor, vascular endothelial growth factor receptor 2, vascular endothelial cadherin, and CD31. Besides, si‐SENP1 and si‐HIF‐1‐ levels were changed by cell transfection. Tube formation ability was carried out by tubulogenesis assay. Furthermore, the levels of HIF‐1α and SENP1 were also tested by Western blot. We obtained DPSCs and induced them to differentiate into vessels and form tubules in vitro. On the basis of this, we demonstrated hypoxia enhanced HIF‐1α and SENP1 expression. si‐HIF‐1α downregulated SENP1 expression and angiogenesis ability under hypoxia, and si‐SENP1 downregulated HIF‐1α expression and angiogenesis ability under hypoxia. Under hypoxia, SENP1 and HIF‐1α formed a positive feedback loop and played a momentous part in angiogenesis.
Diepoxybutane induces the expression of a novel p53‐target gene XCL1 that mediates apoptosis in exposed human lymphoblasts
Authors: Ewunkem Akamu J. , Deve Maya , Harrison Scott H. , Muganda Perpetua M. 
Published: January 2020

AbstractDiepoxybutane (DEB) is the most potent active metabolite of the environmental chemical 1,3‐butadiene (BD). BD is a human carcinogen that exhibits multiorgan systems toxicity. Our previous studies demonstrated that the X‐C motif chemokine ligand 1 (XCL1) gene expression was upregulated 3.3‐fold in a p53‐dependent manner in TK6 lymphoblasts undergoing DEB‐induced apoptosis. The tumor‐suppressor p53 protein is a transcription factor that regulates a wide variety of cellular processes, including apoptosis, through its various target genes. Thus, the objective of this study was to determine whether XCL1 is a novel direct p53 transcriptional target gene and deduce its role in DEB‐induced toxicity in human lymphoblasts. We utilized the bioinformatics tool p53scan to search for known p53 consensus sequences within the XCL1 promoter region. The XCL1 gene promoter region was found to contain the p53 consensus sequences 5′‐AGACATGCCTAGACATGCCT‐3′ at three positions relative to the transcription start site (TSS). Furthermore, the XCL1 promoter region was found, through reporter gene assays, to be transactivated at least threefold by wild‐type p53 promoter in DEB‐exposed human lymphoblasts. Inactivation of the XCL1 promoter p53‐binding motif located at −2.579 kb relative to TSS reduced the transactivation function of p53 on this promoter in DEB‐exposed cells by 97%. Finally, knockdown of XCL1 messenger RNA with specific small interfering RNA inhibited DEB‐induced apoptosis in human lymphoblasts by 50%. These observations demonstrate, for the first time, that XCL1 is a novel DEB‐induced direct p53 transcriptional target gene that mediates apoptosis in DEB‐exposed human lymphoblasts.
Artificial antigen‐presenting immunomagnetic beads for better enrichment and expansion of T lymphocytes from peripheral blood mononuclear cells
Authors: Ye Zheng , Sun Bo , Xiao Zhongdang 
Published: January 2020

AbstractBACKGROUNDT‐lymphocyte‐based immunotherapy has been widely studied and applied in experiments and clinics. T lymphocytes need to be enriched and amplified from peripheral blood in T lymphocyte immunotherapy. However, enrichment and expansion of T lymphocytes are performed using separated procedures in popular protocols, leading to tedious steps as well as increasing the possibility of cell contamination during clinical application. Herein, we prepared artificial antigen‐presenting immunomagnetic beads that can be used for both enrichment and expansion of T lymphocytes from peripheral blood, which could greatly simplify the procedures of T lymphocyte immunotherapy. Anti‐CD3 and anti‐CD28 monoclonal antibodies were crosslinked to poly(acrylic acid) magnetic microspheres of about 300 nm in diameter to make artificial antigen‐presenting immunomagnetic beads that combine the separation and activation functions of T lymphocytes.RESULTSThe experimental results showed that the prepared beads could both enrich T lymphocytes from peripheral blood with about 80% enrichment efficiency and also successfully activate T lymphocytes in culture. In vitro cell experiments demonstrated that the activated T lymphocytes expanded using the immunomagnetic beads could kill cells of tumor cell line K562.CONCLUSIONSThe results demonstrate that the immunomagnetic beads prepared in our study can realize the enrichment and expansion of T lymphocytes from peripheral blood mononuclear cells, and provide a convenient tool for the integrated design of clinical immunotherapy instruments. © 2020 Society of Chemical Industry
Sprouting improves the bread‐making performance of whole wheat flour (Triticum aestivum L.)
Authors: Cardone Gaetano , D'Incecco Paolo , Pagani Maria Ambrogina , Marti Alessandra 
Published: January 2020

AbstractBACKGROUNDPre‐harvest sprouting of wheat is viewed negatively because of the high level of enzymatic activity, which leads to a deterioration in the bread‐making performance of the related flours. On the other hand, improvements in bread properties (i.e. volume and crumb softness) are reported when sprouted wheat under controlled conditions is used in mixtures with a conventional unsprouted flour. However, knowledge about the effects of sprouting on gluten functionality and its relationship with bread features is still limited, especially in the case of whole wheat flour.RESULTSUnder the conditions applied in this study (48 h, 20 °C and 90% relative humidity), proteins of sprouted wheat were still able to aggregate, even if changes in gluten aggregation kinetics suggested gluten weakening. On the other hand, sprouting led to an increase in gluten stretching ability, suggesting an increase in dough extensibility. In the dough system, sprouting was responsible for a decrease in water absorption, development time, and stability during mixing. However, when the values for development time and water absorption indicated by the Farinograph® were followed carefully, sprouting improved bread height (~20%), specific volume (~15%), and crumb softness (~200% after 24 h of storage), even when whole wheat flour was used.CONCLUSIONIt is possible to produce bread with improved volume and crumb softness using whole wheat flour from sprouted kernels. Thus, sprouting can be exploited as a pre‐treatment to improve the bread‐making performance of fiber‐enriched systems. © 2020 Society of Chemical Industry
The forb, Ajania tenuifolia, uses soil nitrogen efficiently, allowing it to be dominant over sedges and Graminae in extremely degraded grasslands: Implications for grassland restoration and development on the Tibetan Plateau
Authors: Zhang Rui , Degen A. Allan , Bai Yanfu , Zhang Tao , Wang Ximing , Zhao Xueyong , Shang Zhanhuan 
Published: January 2020

AbstractPlant growth is mainly N‐limited in the alpine grasslands because of slow mineralization of soil organic matter due to low air temperature. Different plant species dominate in soils of different N concentrations. For example, more forbs occur in severely degraded alpine meadows than do sedges and Gramineae. We hypothesized that a more efficient uptake of low soil N by forbs than by sedges and Gramineae was the mechanism that allowed forbs to dominate. The amount and rate of soil N uptake and N allocation were determined in seven dominant alpine plant species using 15N isotope tracer. The plants, which included one forb, Ajania tenuifolia, three sedges, Kobresia humilis, Carex scabrirostris, and Carex enervis, and three Gramineae, Elymus nutans, Festuca sinensis, and Stipa purpurea, were maintained in pots with four different N concentrations (0, 50, 100, and 150 kg ha−1). The forb had the highest efficiency of N utilization (N uptake rate, 60.4%) in low N soil concentration, the Gramineae had intermediate efficiencies (27.9–47.9%), and the sedges had the lowest efficiencies (5.2–34.9%), and, consequently, our hypothesis was supported. N utilization of the seven species decreased with an increase in soil N concentration, from 32.1% at N50 to 18.0% at N150, which indicated that soil N uptake by plants was affected by soil N concentration. The mechanism used by forbs to be the dominant species in severely degraded alpine meadows was a more efficient utilization of soil N than Gramineae and sedges in conditions of low soil N. We concluded that plant species have different efficiencies in soil N uptake and utilization, which allow them to adapt and survive in habitats of different soil nutrition levels. These results implied that forbs should be reduced, and that Gramineae and sedges should be planted and N be added during the restoration and development of severely degraded grasslands on the Tibetan plateau when the soil N content is low.