bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy management strategy for HEV based on KFCM and neural network
Authors: Wang Yeqin , Wu Zhen , Xia Aoyun , Guo Chang , Chen Yuyan , Yang Yan , Tang Zhongyi 
Published: October 2018

SummaryAiming at the deficiency of optimal control energy management strategy, a model of energy management controller for hybrid electric vehicle (HEV) is constructed based on Kernel Fuzzy C‐means Clustering (KFCM) and multi‐neural network. Using energy management control strategy based on PMP, the operational parameters of the four driving modes for HEV is extracted; the data cluster corresponding to the driving mode is generated by clustering through the KFCM method and is used as the training samples for the feedforward neural network. Taking the battery SOC, needed power and speed as the inputs of neural network, and taking engine power as the output of neural network, four sub‐neural network models are established. Taking the vehicle driving needed power at the current moment and the engine output power at the previous moment as characteristic parameters, the corresponding sub‐neural network model is selected for output prediction according to the proportional relationship between the driving demand torque and the engine output power. The simulation results show that, compared with the energy management strategy based on PMP, the calculation time is greatly shortened using the proposed control strategy, and the real‐time performance is better. The fuel economy is a little decreased under the condition of meeting the requirements, but better dynamic performance can be obtained.
Water inrush sources monitoring and identification based on mine IoT
Authors: Yan Zhigang , Han Jiazheng , Yu Jieqing , Yang Yuanxuan 
Published: October 2018

SummaryInternet of things (IoT) is applied to water inrush source monitoring network for overcoming complexity and uncertainty of coal mines in monitoring. This study starts from the idea of sensory mines and the architecture of IoT, and describes key techniques in IoT‐based mine water inrush source sensing. In the sensing layer, networked and intelligent sensors are employed for constructing the distributed monitoring system; in the network service layer, data mining, 3D geoscience simulation system and cloud computing are combined for establishing the cloud service platform so as to comprehensively analyze water inrush sources; in the application layer, a novel maximum/minimum‐margin‐based hierarchical‐SVM model for the identification of water‐inrush sources is proposed. Test results demonstrate that, owing to the application of mine IoT, both information collection efficiency and processing capability of water‐inrush source monitoring can be effectively enhanced, and the established water source identification system exhibits low false alarm rate and mis‐detection ratio, thereby significantly improving the prediction reliability.
Research on online consumer behavior and psychology under the background of big data
Authors: Chen Wenting , Zhang Qian , Jin Maozhu , Yang Jie 
Published: October 2018

SummaryThe emergence of emerging services and technologies such as cloud computing and social networks has driven the variety and scale of data in human society. It can increase and expand at an unprecedented rate. Data has changed from a simple object of processing to a basic resource. How can it be better? Managing and utilizing big data has become a topic of common concern. At the same time, as people's living standards improve, the scale of consumption continues to expand, and consumer demand for personalization becomes more apparent. The online consumer is a new consumer group and has distinct characteristics from the traditional market consumer groups. This article begins with the consumer's point of view. Through the analysis of psychological characteristics, behavioral characteristics, shopping needs, shopping motivation, price perception and risk perception, it will deepen consumer awareness. As a result, they can help network marketing become more economic and effective, and promote virtuous cycle of consumption and sales.
Study on control strategy and application of a new harmonic detection method in three‐phase four‐wire APF
Authors: Li Delu 
Published: October 2018

SummaryIn the three‐phase four‐wire low‐voltage distribution network, a large number of nonlinear loads are put into use, which makes the harmonic and three‐phase imbalance problems of a three‐phase four‐wire system more and more prominent. In addition, it seriously affects the energy quality of the power network. The three‐phase four‐wire active power filter (APF) is one of the effective measures to solve these problems. In this paper, a new harmonic detection method for the three‐phase four‐wire APF is proposed, and it is applied to the control strategy of three‐phase four‐wire APF. Then, the advantages and disadvantages of various detection algorithms of harmonic current in a three‐phase four‐wire system are summarized. The digital phase‐locked technology based on a generalized integrator is studied, and the method of extracting the positive‐sequence component of fundamental wave voltage by using the frequency‐selecting characteristic of a generalized integrator is put forward. The generalized integrator and the ip‐iq method are combined to realize the detection of any order harmonics. A novel method of extracting fundamental wave components from three‐phase four‐wire APF harmonics using the ensemble empirical mode decomposition (EEMD) algorithm is put forward, and the function of upper and lower envelopes is optimized by using a cubic spline fitting curve in the process of EEMD. In order to reduce the operation time of the EEMD algorithm and improve the efficiency and real‐time function of harmonic detection, the cubic spline fitting curve is used to obtain the function of upper and lower envelopes in the process of decomposition.
An improved quantitative recurrence analysis using artificial intelligence based image processing applied to sensor measurements
Authors: Jiang Yu , Zhu Hua , Malekian Reza , Ding Cong 
Published: October 2018

SummaryArtificial intelligence has been widely used in reliability analysis for industrial equipment. The gear transmission systems are the most common components in mining machines. A simple fault in the gearbox may break down the mining machine for couple of days, resulting in enormous economic loss. Condition monitoring techniques can prevent unscheduled failures in the gear transmission systems. Although many techniques have been developed for gearbox fault diagnosis, one challenging task that the condition monitoring still faces is how to extract quantitative fault indicators. To this end, this paper proposes an improved quantitative recurrence analysis (IQRA) based on artificial intelligence theory. This new method takes advantages of chaos and fractal properties of the gear transmission system to obtain the recurrence of the system. The characteristics of different gear faults can be observed through the visualization of recurrence. Quantitative parameters can be then calculated from the recurrence plots. Experimental data acquired from a gearbox under variable working conditions was used to evaluate the proposed method. The analysis results demonstrate that the proposed IQRA method is able to effectively quantify different the gear faults.
Research on information security and privacy protection model based on consumer behavior in big data environment
Authors: Li Yuxue , Song Lijun , Zeng Yucheng 
Published: October 2018

SummaryIn the big data era, information security is becoming more and more important. The recent scandal of the data privacy on Facebook sounded the warning bell for us. Based on the utility theory, this paper proposes that the disclosure behavior of consumer personal information is mainly influenced by two factors, which are perceived risk and perceived benefit, respectively. When consumers make decisions, they weigh the risks and benefits. If the income is greater than the risk, the consumer is willing to provide the information on the website and vice versa. This paper analyzes the serious threats to the safety and privacy of commercial big data and proposes a multi‐level security protection theoretical model for business information security and privacy protection from the perspective of business big data security. The security functions and core technologies of each layer are described in detail, which provide a useful and in‐depth theoretical exploration for practical engineering. Finally, based on the privacy protection of large data and the principle of RBAC, a model of user privacy information security system is proposed.
Implementation of FIR filter using reversible modified carry select adder
Authors: Arun Sekar R. , Sasipriya S. 
Published: October 2018

SummaryAny arithmetic operation can be performed using the method of Reversible process which allows minimum arithmetic execution. An essential scenario for achieving this condition is the arithmetic design connections should be of one to one. The Finite Impulse Response (FIR) Filter is that the indispensable part to design digital signal processing framework. The adders and multipliers assume an urgent part in FIR filter while thinking about the power. In this paper, an effective FIR filter is actualized utilizing minimum power reversible modified SQRT carry select adder utilizing Brent Kung adder and D latch. Reversible logic has developed as another outline method to the customary rationale, prompting low power consumption and lesser circuit region. For accomplishing low power, reversible rationale method of task is implemented inside the style. The proposed configuration accomplishes three‐overlap benefits in terms of Area‐power‐delay. From the combination comes about, the newly portrayed minimum power FIR filter configuration shows low power of 294641.397 nW when contrasted with regular outline. Proposed FIR Filter is reenacted by utilizing rhythm device as cadence tool.
Bichromophoric Sensors for Ratiometric Measurements of Molecular Microenvironments through the Interplay of Charge Transfer and Energy Transfer Channels
Authors: Arroyo‐Pieck Andres , Araiza‐Olivera Daniela , Peon Jorge 
Published: October 2018

AbstractA new molecular architecture was designed to amplify the sensitivity of bichromophoric probes, in which two sequential kinetic competitions of photophysical channels were used to define the emission yield of the lower energy chromophore. Additionally, the emission from both chromophores can be used for ratiometric measurements, which are concentration independent. Two sensors were synthesized to demonstrate the concept, coupling a boron‐dipyrromethene (BODIPY) dye and a cyanine dye. Both the energy transfer from the BODIPY to the cyanine and the cyanine radiative channel compete with a charge transfer state formation, giving the cyanine emission intensity a twofold dependence on polarity. This was confirmed with steady state and time‐resolved spectroscopies. Also, the large spectral gap between the two emissions (approx. 280 nm) makes the ratiometric measurements crosstalk‐free. The use of the sensors in live cells was demonstrated through the staining and imaging of SK‐LU‐1 lung cells under normal and apoptotic conditions.
Controlled Decoration of Divalent Nickel onto CdS/CdSe Core/Shell Quantum Dots to Boost Visible‐Light‐Induced Hydrogen Generation in Water
Authors: Wang Ping , Li Chuanping , Wang Minmin , Jin Yongdong 
Published: October 2018

AbstractThe search for a low‐cost, noble‐metal‐free cocatalyst to replace expensive Pt for hydrogen (H2) photogeneration in water has become a hot research topic, and among these, Ni‐based cocatalysts are promising and highly desired. Developing new strategies and protocols to obtain Ni‐based cocatalysts with high activity is therefore vitally important. Herein, we develop a new method to efficiently decorate divalent Ni onto pre‐synthesized CdS/CdSe core/shell quantum dots (QDs). The concentration of Ni on the QDs can be easily tuned by varying the amount of the Ni precursor introduced during the synthesis. Further analyses reveal that Ni2+ can be strongly decorated onto QDs. Impressively, the Ni‐decorated QDs displayed a significantly enhanced H2 photogeneration performance as compared to the two components prepared separately. Through the optimization of the Ni concentration on the QDs, the turnover frequency (TOF) with respect to Ni and quantum yield (
) at 520 nm for H2 evolution from water could reach 322 h−1 and 12.3 %, respectively. A possible mechanism has also been proposed and discussed in detail.
Neocortical Microdissection at Columnar and Laminar Resolution for Molecular Interrogation
Authors: Kole Koen , Celikel Tansu 
Published: October 2018

AbstractThe heterogeneous organization of the mammalian neocortex poses a challenge for elucidating the molecular mechanisms underlying its physiological processes. Although high‐throughput molecular methods are increasingly deployed in neuroscience, their anatomical specificity is often lacking. In this unit, we introduce a targeted microdissection technique that enables extraction of high‐quality RNA and proteins at high anatomical resolution from acutely prepared brain slices. We exemplify its utility by isolating single cortical columns and laminae from the mouse primary somatosensory (barrel) cortex. Tissues can be isolated from living slices in minutes, and the extracted RNA and protein are of sufficient quantity and quality to be used for RNA sequencing and mass spectrometry. This technique will help to increase the anatomical specificity of molecular studies of the neocortex, and the brain in general, as it is applicable to any brain structure that can be identified using optical landmarks in living slices. © 2018 by John Wiley & Sons, Inc.
Clinical performance of the Cobas 4800 HPV test and the Aptima HPV assay in the management of women referred to colposcopy with minor cytological abnormalities
Authors: Tewari Prerna , White Christine , Kelly Lynne , Pilkington Loretto , Keegan Helen , D'Arcy Tom , Toole Sharon O’ , Sharp Linda , O'Leary John J , Martin Cara M 
Published: October 2018

BackgroundThe aim of this study was to evaluate the clinical performance of the Cobas 4800 HPV test and the Aptima HPV assay for the detection of CIN2+ disease in women referred to colposcopy with minor cytological abnormalities.MethodsThinPrep liquid‐based cytology samples were collected from 562 women referred to colposcopy with minor cytological abnormalities. HPV testing by both assays was performed on these samples. Clinical performances for detection of histologically diagnosed CIN2+ and CIN3+ were calculated.ResultsHPV prevalence by the Cobas 4800 HPV test was 58.2% and 53.0% women tested positive with the Aptima HPV assay in the entire study population. The Aptima HPV assay and the Cobas 4800 HPV test displayed equivalent sensitivity of 90.2% (95%CI, 83.4‐94.9) for the detection of CIN2+ disease. However, the Aptima HPV assay displayed greater specificity of 61.0% (95% CI, 54.0‐68.0) when compared to the Cobas 4800 HPV test 53.0% (95% CI, 46.0‐60.0), and this was significantly higher (P = .0004). The Aptima HPV assay also displayed higher specificity 76.5% (95% CI, 66.0‐85.0) in the ASCUS category in comparison to the Cobas 4800 HPV test 65.0% (95% 54.0‐75.0) which was statistically significant (P = .004).ConclusionsBoth the tests displayed similar sensitivity. However, the Aptima HPV assay was significantly more specific in the identification of women with CIN2+ disease in a colposcopy referral population.
Adenoid cystic carcinoma: A study of 19 cases of salivary and extra‐salivary tumours diagnosed by fine needle aspiration cytology
Authors: Kundu Reetu , Handa Uma , Punia Rajpal Singh , Dass Arjun , Saini Varinder 
Published: October 2018

AbstractBackgroundAdenoid cystic carcinoma (ACC) arises at sites where seromucinous or sweat gland epithelium is present and commonly affects the salivary glands. Rarely it can occur at extra‐salivary locations.MethodsA retrospective analysis of 19 cases of ACC diagnosed on fine needle aspiration cytology (FNAC) over a period of 15 y (2002‐2016) was made.ResultsOf 19 total cases, there were 10 salivary and 9 extra‐salivary ACCs. Extra‐salivary tumours were seen in 2 cases each in trachea, tongue and in one case each in bronchus, lung, subcutaneous tissue, maxillary antrum, and external auditory canal. The age ranged from 14‐80 y (mean: 49.5 y), 10 patients were male and 9 were female. The smears were highly cellular in 11 cases, moderately cellular in 5 cases while 3 cases were paucicellular. Multilayered dense clusters, tissue fragments, dispersed cells and cup‐shaped fragments were seen. Relatively uniform cells with high nuclear: cytoplasmic ratio, hyperchromatic nuclei, irregular margins, and nuclear moulding were observed. Variable sized hyaline globules, finger‐like hyaline material, hyaline cylinders, and hyaline cords were noted. The cytologic diagnosis of ACC was rendered in 13 cases while in 6 cases it was one of the differential diagnosis including monomorphic adenoma, membranous variant of basal cell adenoma, adnexal tumour, polymorphous adenocarcinoma, and pleomorphic adenoma (PA).ConclusionsCytologists must be aware of varied locations where ACC can occur. A diagnosis of ACC must not rely exclusively on the occurrence of hyaline globules but necessitates a close scrutiny of cellular and nuclear features to avoid diagnostic pitfalls.
Combined detection of the ActRII‐Fc fusion proteins Sotatercept (ActRIIA‐Fc) and Luspatercept (modified ActRIIB‐Fc) in serum by means of immunoaffinity purification, tryptic digestion, and LC‐MS/MS
Authors: Walpurgis Katja , Thomas Andreas , Lange Tobias , Reichel Christian , Geyer Hans , Thevis Mario 
Published: October 2018

AbstractTherapeutic proteins are a continuously growing class of pharmaceuticals and comprise several drug candidates with potential performance‐enhancing properties. In particular, activin receptor competitors, such as the ActRII‐Fc fusion proteins Sotatercept (ActRIIA‐Fc) and Luspatercept (modified ActRIIB‐Fc), have the potential for being misused as doping agents in sports as they were found to inhibit negative regulators of late‐stage erythropoiesis.Within this study, ammonium sulfate precipitation, immunoaffinity purification, tryptic digestion, and liquid chromatography–tandem mass spectrometry (LC–MS/MS) were employed to develop an assay for the combined detection of Sotatercept and Luspatercept in doping control serum samples. The assay was optimized, comprehensively characterized, and found to be fit‐for‐purpose for application to sports drug testing. It complements existing tests for ActRII‐Fc fusion proteins and expands the range of available detection methods for novel protein therapeutics.
Predicted 2100 climate scenarios affects growth and skeletal development of tambaqui (Colossoma macropomum) larvae
Authors: Lopes Ivã Guidini , Araújo‐Dairiki Thyssia Bomfim , Kojima Juliana Tomomi , Val Adalberto Luis , Portella Maria Célia 
Published: October 2018

AbstractClimate changes driven by greenhouse gas emissions have been occurring in an accelerated degree, affecting environmental dynamics and living beings. Among all affected biomes, the Amazon is particularly subjected to adverse impacts, such as temperature rises and water acidification. This study aimed to evaluate the impacts of predicted climate change on initial growth and development of an important Amazonian food fish, the tambaqui. We analyzed growth performance, and monitored the initial osteogenic process and the emergence of skeletal anomalies, when larvae were exposed to three climate change scenarios: mild (B1, increase of 1.8°C, 200 ppm of CO2); moderate (A1B, 2.8°C, 400 ppm of CO2); and drastic (A2, 3.4°C, 850 ppm of CO2), in addition to a control room that simulated the current climatic conditions of a pristine tropical forest. The exposure to climate change scenarios (B1, A1B, and A2) resulted in low survival, especially for the animals exposed to A2, (24.7 ± 1.0%). Zootechnical performance under the B1 and A1B scenarios was higher when compared to current and A2, except for condition factor, which was higher in current (2.64 ± 0.09) and A1B (2.41 ± 0.14) scenarios. However, skeletal analysis revealed higher incidences of abnormalities in larvae exposed to A1B (34.82%) and A2 (39.91%) scenarios when compared to current (15.38%). Furthermore, the bone‐staining process revealed that after 16 days posthatch (7.8 ± 0.01 mm total length), skeletal structures were still cartilaginous, showing no mineralization in all scenarios. We concluded that tambaqui larvae are well‐adapted to high temperatures and may survive mild climate change. However, facing more severe climate conditions, its initial development may be compromised, resulting in high mortality rates and increased incidence of skeletal anomalies, giving evidence that global climate change will hamper tambaqui larvae growth and skeletal ontogeny.
Invasive alien shredders clear up invasive alien leaf litter
Authors: Doherty‐Bone Thomas M. , Dunn Alison M. , Brittain Joel , Brown Lee Eric 
Published: October 2018

AbstractBiological invasions have the potential to alter ecosystem processes profoundly, but invaders are rarely found alone. Interactions between different invasive alien species, and their cumulative impact on ecosystem functioning, have led to hypotheses of invasion meltdown whereby effects become additive leading to further ecosystem stress. Invasive riparian plants (e.g., Rhododendron ponticum) deposit leaf litter in freshwaters, which may be unconsumed by indigenous species, potentially affecting habitat heterogeneity and flow of energy to the food web. However, invasive alien decapod crustaceans are effective consumers of leaf litter, and it was hypothesized that they would also consume inputs of invasive riparian leaf litter. This study shows that invasive alien signal crayfish (Pacifastacus leniusculus) and Chinese mitten crab (Eriocheir sinensis) effectively break down different types of leaf litter, including invasive alien R. ponticum, at higher rates than indigenous white‐clawed crayfish. Secondary products were more varied, with more fine particulate organic matter generated for the less palatable alien leaf litter species. Leaf species caused different changes in body mass of decapods but effects were heterogeneous by leaf and decapod: P. leniusculus showed lower mass loss when consuming R. ponticum while E. sinensis lost mass when consuming A. pseudoplatanus. Impacts of riparian invasions on detritus accumulation in freshwaters are thus potentially buffered by invasive alien decapods, illustrating a need for a more detailed consideration of both positive and negative interspecific feedbacks during biological invasions.