bluuebunny/crossref_metadata_2025 huggingface dataset:
Leg Extensor Muscle Strength, Postural Stability, and Fear of Falling After a 2-Month Home Exercise Program in Women With Severe Knee Joint Osteoarthritis
Authors: Rätsepsoo Monika , Gapeyeva Helena , Sokk Jelena , Ereline Jaan , Haviko Tiit , Päsuke Mati
Published: April 2018

Background and Objective. The aim of this study was to compare the leg extensor muscle strength, the postural stability, and the fear of falling in the women with severe knee joint osteoarthritis (OA) before and after a 2-month home exercise program (HEP). Material and Methods. In total, 17 women aged 46–72 years with late-stage knee joint OA scheduled for total knee arthroplasty participated in this study before and after the 2-month HEP with strengthening, stretching, balance, and step exercises. The isometric peak torque (PT) of the leg extensors and postural stability characteristics when standing on a firm or a foam surface for 30 seconds were recorded. The fear of falling and the pain intensity (VAS) were estimated. Results. A significant increase in the PT and the PT-to-body weight (PT-to-BW) ratio of the involved leg as well as the bilateral PT and the PT-to-BW ratio was found after the 2-month HEP compared with the data before the HEP (P<0.05). The PT and the PT-to-BW ratio of the involved leg were significantly lower compared with the uninvolved leg before the HEP (P<0.05). The center of the pressure sway length (foam surface) decreased significantly after the HEP (P<0.05). Significant correlations were found between the PT of the involved leg and the bilateral PT and the fear of falling and between the PT of the involved leg and the postural sway (foam surface) before the HEP. Conclusions. After the 2-month HEP, the leg extensor muscle strength increased and the postural sway length on a foam surface decreased. The results indicate that the increased leg extensor muscle strength improves postural stability and diminishes the fear of falling in women with latestage knee joint OA.
Posttreatment Status of Palatally Impacted Maxillary Canines Treated Applying 2 Different Surgical-Orthodontic Methods
Authors: Smailienė Dalia , Kavaliauskienė Aistė , Pacauskienė Ingrida
Published: April 2018

Background and Objective. There is considerable debate on the issues of the choice of a surgical technique for the treatment of palatally impacted maxillary canines. The aim of the study was to evaluate the posttreatment status of palatally impacted canines treated applying 2 different surgical methods, i.e., an open technique with free eruption and a closed flap technique, and to compare it with the status of naturally erupted canines. Material and Methods. In total, 43 patients treated for unilateral palatally impacted maxillary canines were examined at a mean follow-up of 4.19 months (SD, 1.44; range, 3–6) after a fixed appliance had been removed. The patients were distributed into 2 groups: the open technique with free eruption (group 1, n=22) and the closed technique (group 2, n=21). The posttreatment examination consisted of an intraoral and a radiological examination. Results. The findings of tooth position, inclination, color, shape, and function did not differ between the groups. There was no significant difference in the measurements of the periodontal pocket depth and bone support between the groups: the mean periodontal pocket depth was 2.14 mm (SD, 0.38) in the group 1 and 2.28 mm (SD, 0.69) in the group 2; the mean bone support was 91.51% (SD, 5.78%) and 89.9% (SD, 5%) in the groups, respectively. However, differences were found when comparing the measurements of the quadrant of impacted canines with the quadrant of the contralateral normally erupted canines. The distal contact point of the lateral incisor and the medial contact point of the canine showed a significant bone loss in comparison with the contralateral corresponding teeth. Conclusions. The posttreatment status of palatally impacted canines and adjacent teeth after the surgical-orthodontic treatment did not differ significantly between the groups of the open and the closed surgical method.
Detailed Evaluation of Patients Admitted To Emergency Department With a Tick Bite Complaint
Authors: Başol Nurşah , Duygu Fazilet , Ayan Murat
Published: April 2018

Background and Objective. A tick bite has been an emergency of increased importance in recent years since it can cause a progressive, fatal disease such as Crimean-Congo hemorrhagic fever (CCHF). This issue should be considered by physicians working not only in endemic areas but also in the entire world, taking into account immigration, overseas trips, etc. In our study, we aimed to increase the awareness of the issue by evaluating the emergency department admissions of tick bite complaints in an endemic area. Material and Methods. In total, 251 patients who had been admitted to the emergency department with a complaint of a tick bite within 10 months were included into the study. The data were obtained by collecting main complaints, demographic characteristics, cell counts on admission, and biochemical tests as well as CCHF findings in the RT-PCR test. The patients were divided into 2 groups according to the results of real-time polymerase chain reaction (PCR+ and PCR–). Results. All the patients complained of tick bites. As for the additional complaints, 46% of the overall study population had fatigue and 36% experienced fever. Fever was the most common complaint in the PCR+ group (39%). The platelet and white blood cell counts were significantly lower and the AST level was significantly higher in the PCR+ group than the PCR– group (P<0.01). Conclusions. In CCHF, where an early diagnosis is very important in reducing mortality, and the symptoms such as a tick bite, fever, and fatigue should be taken seriously by emergency medicine physicians. Leukopenia and thrombocytopenia and higher levels of enzymes in the liver function tests should be taken into account.
Associations Between the Fracture Type and Functional Outcomes After Distal Radial Fractures Treated With a Volar Locking Plate
Authors: Braziulis Kęstutis , Rimdeika Rytis , Kregždytė Rima , Tarasevičius Šarūnas
Published: April 2018

Objective. The aim of this study to investigate the associations of fracture type, age, and gender with hand function after distal radius fractures treated with a volar locking plate at a 6-month follow-up. Material and Methods. A total of 120 patients with displaced distal radius fractures were included into the study. They were operated on using a volar locking plate system. All the fractures were classified according to the AO classification, and the patients were divided into 3 groups by the fracture type. The range of motion and grip strength were evaluated at the 6-month follow-up. Multivariate linear regression analysis was used to evaluate the associations of age, gender, and fracture type with the score of the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaire. The DASH questionnaire was completed as an outcome measure. Results. A total of 28 patients experienced type A fractures; 70 patients, type B fractures; and 22 patients, type C fractures. No statistically significant difference regarding age and sex among the groups was observed. At 6 months after the surgery, the mean DASH score for type A, B, and C fractures was 16, 13, and 32, respectively (P=0.01). After the surgery, the radiographic parameters such as the volar tilt and the ulnar variance were significantly worse in the patients with type C fractures. Grip strength and the range of motion of the contralateral healthy hand at the 6-month follow-up were significantly better than those of the operated hand. The linear regression analysis showed that the type C fracture was the only factor significantly associated with lower DASH score. Conclusions. The patients with type C fractures treated with a volar locking plate had a worse wrist function as compared with the patients type A and B fractures at the 6-month follow-up. The postoperative hand function was significantly associated only with the type C fracture, while age and gender had no significant impact.
Age-Dependent Heterogeneity of Familiar Hypertrophic Cardiomyopathy Phenotype: A Role of Cardiovascular Magnetic Resonance
Authors: Glaveckaitė Sigita , Rudys Alfredas , Mikštienė Violeta , Valevičienė Nomeda , Palionis Darius , Laucevičius Aleksandras
Published: April 2018

In this case report, we present familiar hypertrophic cardiomyopathy with age-dependent heterogeneity of the disease phenotype among the members of one family who carry the same mutation of the myosin-binding protein C gene. Phenotypic heterogeneity is common in patients with familial forms of hypertrophic cardiomyopathy, both in clinical expression and outcome. Compared with other noninvasive cardiac imaging modalities, cardiovascular magnetic resonance provides an opportunity to more accurately characterize the varying phenotypic presentations of hypertrophic cardiomyopathy.
Use of Plant and Herb Derived Medicine for Therapeutic Usage in Cardiology
Authors: Koo Ye Eun , Song Jiwon , Bae Soochan
Published: April 2018

Cardiovascular diseases (CVDs) have become prominent in mortality and morbidity rates. Prevalent cardiovascular conditions, such as hypertension, atherosclerosis and oxidative stress, are increasing at an alarming rate. Conventional drugs have been associated with adverse effects, suggesting a need for an alternative measure to ameliorate CVD. A number of plant- and herb-derived preventative food and therapeutic drugs for cardiovascular conditions are progressively used for their various benefits. Naturally derived food and drugs have fewer side effects because they come from natural elements; preventative food, such as grape seed, inhibits changes of histopathology and biomarkers in vital organs whereas therapeutic drugs, for instance Xanthone, improve heart functions by suppressing oxidative stress of myocyte. This review closely examines the various plant- and herb-derived drugs that have assumed an essential role in treating inflammation and oxidative stress for prevalent cardiovascular conditions. Furthermore, the use of plant-derived medicine with other synthetic particles, such as nanoparticles, for targeted therapy is investigated for its effective clinical use in the future.
Integrated Electromechanical Transduction Schemes for Polymer MEMS Sensors
Authors: Thuau Damien , Ducrot Pierre-Henri , Poulin Philippe , Dufour Isabelle , Ayela Cédric
Published: April 2018

Polymer Micro ElectroMechanical Systems (MEMS) have the potential to constitute a powerful alternative to silicon-based MEMS devices for sensing applications. Although the use of commercial photoresists as structural material in polymer MEMS has been widely reported, the integration of functional polymer materials as electromechanical transducers has not yet received the same amount of interest. In this context, we report on the design and fabrication of different electromechanical schemes based on polymeric materials ensuring different transduction functions. Piezoresistive transduction made of carbon nanotube-based nanocomposites with a gauge factor of 200 was embedded within U-shaped polymeric cantilevers operating either in static or dynamic modes. Flexible resonators with integrated piezoelectric transduction were also realized and used as efficient viscosity sensors. Finally, piezoelectric-based organic field effect transistor (OFET) electromechanical transduction exhibiting a record sensitivity of over 600 was integrated into polymer cantilevers and used as highly sensitive strain and humidity sensors. Such advances in integrated electromechanical transduction schemes should favor the development of novel all-polymer MEMS devices for flexible and wearable applications in the future.
Evaluation of Manganese Chloride’s Effect on Biosynthetic Properties of In Vitro Cultures of Eschscholzia californica Cham.
Authors: Balažová Andrea , Urdová Júlia , Bilka František , Holková Ivana , Horváth Branislav , Forman Vladimír , Mučaji Pavel
Published: April 2018

The basal production of secondary metabolites in medicinal plants is limited. One of the effective approaches that encourages plants to produce a remarkable amount of precious compounds is an application of elicitors. Our work was focused on the elicitation of Eschscholzia californica Cham. suspension cultures using various concentrations of MnCl2 (5; 10; 15 mg/L) with the aim of evaluating its effect on sanguinarine, chelerythrine, and macarpine production and gene expression of enzymes involved in the biosynthesis of mentioned secondary metabolites (BBE, 4′-OMT, CYP80B1) or in defense processes (LOX). Suspension cultures were exposed to elicitor for 24, 48, and 72 h. The content of alkaloids in phytomass was determined on the basis of their fluorescence properties. The relative mRNA expression of selected genes was analyzed using the ΔΔCt value method. PCR products were evaluated by melting curve analysis to confirm the specific amplification. Our results demonstrated that Eschscholzia californica Cham. cell suspension cultures evince sensitivity to the presence of MnCl2 in growth media resulting in the increased production of benzophenanthridine alkaloids and gene expression of selected enzymes. Manganese chloride seems to be a potential elicitor supporting natural biosynthetic properties in plant cell cultures and can be applied for the sustained production of valuable secondary metabolites.
Regression Analysis to Identify Factors Associated with Urinary Iodine Concentration at the Sub-National Level in India, Ghana, and Senegal
Authors: Knowles Jacky , Kupka Roland , Dumble Sam , Garrett Greg , Pandav Chandrakant , Yadav Kapil , Touré Ndeye , Foriwa Amoaful Esi , Gorstein Jonathan
Published: April 2018

Single and multiple variable regression analyses were conducted using data from stratified, cluster sample design, iodine surveys in India, Ghana, and Senegal to identify factors associated with urinary iodine concentration (UIC) among women of reproductive age (WRA) at the national and sub-national level. Subjects were survey household respondents, typically WRA. For all three countries, UIC was significantly different (p < 0.05) by household salt iodine category. Other significant differences were by strata and by household vulnerability to poverty in India and Ghana. In multiple variable regression analysis, UIC was significantly associated with strata and household salt iodine category in India and Ghana (p < 0.001). Estimated UIC was 1.6 (95% confidence intervals (CI) 1.3, 2.0) times higher (India) and 1.4 (95% CI 1.2, 1.6) times higher (Ghana) among WRA from households using adequately iodised salt than among WRA from households using non-iodised salt. Other significant associations with UIC were found in India, with having heard of iodine deficiency (1.2 times higher; CI 1.1, 1.3; p < 0.001) and having improved dietary diversity (1.1 times higher, CI 1.0, 1.2; p = 0.015); and in Ghana, with the level of tomato paste consumption the previous week (p = 0.029) (UIC for highest consumption level was 1.2 times lowest level; CI 1.1, 1.4). No significant associations were found in Senegal. Sub-national data on iodine status are required to assess equity of access to optimal iodine intake and to develop strategic responses as needed.
Ethanol Extract of Evodia rutaecarpa Attenuates Cell Growth through Caspase-Dependent Apoptosis in Benign Prostatic Hyperplasia-1 Cells
Authors: Park Eunsook , Lee Mee-Young , Seo Chang-Seob , Jang Ji-Hye , Kim Yong-ung , Shin Hyeun-Kyoo
Published: April 2018

The dried fruits of Evodia rutaecarpa Bentham have been used widely as a herbal medicine for the treatment of inflammatory disorders and abdominal pain. Benign prostatic hyperplasia (BPH) is a nonmalignant disease characterized by overgrowth of prostates. Despite the pharmacological efficacy of the fruits of E. rutaecarpa against various diseases, their effects against BPH have not been reported. Here, we investigated the inhibitory activity of a 70% ethanol extract of E. rutaecarpa (EEER) against BPH, and its underlying mechanisms regarding cell growth of BPH using BPH-1 cells. An in vitro 5α-reductase activity assay showed that EEER exhibited inhibitory activity against 5α-reductase. In BPH-1 cells, EEER treatment inhibited cell viability and reduced the expression of the proliferating cell nuclear antigen proliferating cell nuclear antigen (PCNA), cyclin D1, and phosphor-ERK1/2 proteins. Moreover, EEER also induced apoptosis, with chromatin condensation, apoptotic bodies, and internucleosomal DNA fragmentation. Regarding its underlying mechanisms, EEER exacerbated the activation of caspase-8 and caspase-3 in a concentration-dependent manner and eventually caused the cleavage of PARP. Taken together, these data demonstrated that EEER had a potent 5α-reductase inhibitory activity and that EEER treatment in BPH-1 cells inhibited cell viability via caspase-8- and caspase-3-dependent apoptosis. Therefore, EEER may be a potential phytotherapeutic agent for the treatment of BPH.
Research Progress on Rolling Circle Amplification (RCA)-Based Biomedical Sensing
Authors: Gu Lide , Yan Wanli , Liu Le , Wang Shujun , Zhang Xu , Lyu Mingsheng
Published: April 2018

Enhancing the limit of detection (LOD) is significant for crucial diseases. Cancer development could take more than 10 years, from one mutant cell to a visible tumor. Early diagnosis facilitates more effective treatment and leads to higher survival rate for cancer patients. Rolling circle amplification (RCA) is a simple and efficient isothermal enzymatic process that utilizes nuclease to generate long single stranded DNA (ssDNA) or RNA. The functional nucleic acid unit (aptamer, DNAzyme) could be replicated hundreds of times in a short period, and a lower LOD could be achieved if those units are combined with an enzymatic reaction, Surface Plasmon Resonance, electrochemical, or fluorescence detection, and other different kinds of biosensor. Multifarious RCA-based platforms have been developed to detect a variety of targets including DNA, RNA, SNP, proteins, pathogens, cytokines, micromolecules, and diseased cells. In this review, improvements in using the RCA technique for medical biosensors and biomedical applications were summarized and future trends in related research fields described.
NUC041, a Prodrug of the DNA Methytransferase Inhibitor 5-aza-2′,2′-Difluorodeoxycytidine (NUC013), Leads to Tumor Regression in a Model of Non-Small Cell Lung Cancer
Authors: Daifuku Richard , Grimes Sheila , Stackhouse Murray
Published: April 2018

5-aza-2′,2′-difluorodeoxycytidine (NUC013) has been shown to be significantly safer and more effective than decitabine in xenograft models of human leukemia and colon cancer. However, it suffers from a similar short half-life as other DNA methyltransferase inhibitors with a 5-azacytosine base, which is problematic for nucleosides that primarily target tumor cells in S phase. Because of the relative instability of 5-azanucleosides, a prodrug approach was developed to improve the pharmacology of NUC013. NUC013 was conjugated with trimethylsilanol (TMS) at the 3′ and 5′ position of the sugar, rendering the molecule hydrophobic and producing 3′,5′-di-trimethylsilyl-2′,2′-difluoro-5-azadeoxycytidine (NUC041). NUC041 was designed to be formulated in a hydrophobic vehicle, protecting it from deamination and hydrolysis. In contact with blood, the TMS moieties are readily hydrolyzed to release NUC013. The half-life of NUC013 administered intravenously in mice is 20.1 min, while that of NUC013 derived from intramuscular NUC041 formulated in a pegylated-phospholipid depot is 3.4 h. In a NCI-H460 xenograft of non-small cell lung cancer, NUC013 was shown to significantly inhibit tumor growth and improve survival. Treatment with NUC041 also led to significant tumor growth inhibition. However, NUC041-treated mice had significantly more tumors ulcerate than either NUC013 treated mice or saline control mice, and such ulceration occurred at significantly lower tumor volumes. In these nude mice, tumor regression was likely mediated by the derepression of the tumor suppressor gene p53 and resultant activation of natural killer (NK) cells.
Synthesis of Polystyrene Particles with Precisely Controlled Degree of Concaveness
Authors: Jing Wenhua , Du Sinan , Zhang Zexin
Published: April 2018

Shape is an essential property of polymeric particles. Herein, we propose a simple method to synthesize polymeric particles with a well-controlled concave shape. Our method takes advantage of the powerful seeded emulsion polymerization strategy with the well-known principle of “like dissolves like” in solvent chemistry. We first prepared polystyrene (PS) particles with a single dimple by seeded emulsion polymerization. Then the dimpled PS particles were dispersed in a dimethylformamide (DMF) and water mixture. Consequently, the non-crosslinked polymer chains inside the particle were dissolved by DMF, a good solvent for PS, and the PS chains migrated out of the particle, causing buckling of the dimple and enlargement of the concave. By systematic change of the fraction of DMF in the solvent mixture, we changed the amount of the dissolved PS chains, and achieved polymeric particles with precisely tuned degree of concaveness. These concave particles were found to readily self-assemble, driven by polymer-induced depletion interaction. The concave PS particles reported here provide potential building blocks for self-assembled polymeric materials, and new model systems for condensed matter research.
The Recycling Potential of Submersible Sewage Pumps in the EU
Authors: Psomopoulos Constantinos S. , Barkas Dimitrios , Ioannidis George Ch.
Published: April 2018

Sewage pumps have been among the main electromechanical equipment of the sewage and wastewater management facilities around Europe for over 30 years. Their operational life ranges between 15 and 20 years. Therefore, a significant proportion of that equipment is currently non-operational, and many of them must be disposed of in the forthcoming years. Although the “Waste electrical and electronic equipment” Directive (2012/19/EU) is the main related legislation, sewage pumps are not directly addressed. EcoDesign Legislation is the main legislation applicable on such cases. This work investigates the possibilities of recycling sewage pumps used in wastewater management facilities after their renovation or upgrade. Evaluation results indicate that there is high potential for material recovery and for significant economic benefit. Therefore, the recovery of materials and safe handling of non-operating industrial and possibly hazardous electrical equipment waste, could contribute to the minimization of their impact on the environment.
Enhanced Modeling of Annual Temperature Cycles with Temporally Discrete Remotely Sensed Thermal Observations
Authors: Zou Zhaoxu , Zhan Wenfeng , Liu Zihan , Bechtel Benjamin , Gao Lun , Hong Falu , Huang Fan , Lai Jiameng
Published: April 2018

Satellite thermal remote sensing provides land surface temperatures (LST) over extensive areas that are vital in various applications, but this technique suffers from its sampling style and the impenetrability of clouds, which frequently generates data gaps. Annual temperature cycle (ATC) models can fill these gaps and estimate continuous daily LST dynamics from a number of thermal observations. However, the standard ATC model (termed ATCS) remains incapable of quantifying the short-term LST variations caused by synoptic conditions. By incorporating in-situ surface air temperatures (SATs) and satellite-derived normalized difference vegetation indexes (NDVIs), here we proposed an enhanced ATC model (ATCE) to describe the daily LST fluctuations. With Aqua/MODIS LST products as validation data, we implemented and tested the ATCE over the Yangtze River Delta region of China. The results demonstrate that, when compared with the ATCS, the overall root mean square errors of the ATCE decrease by 1.0 and 0.8 K for the day and night, respectively. The accuracy improvements vary with land cover types with greater improvements over the forest, grassland, and built-up areas than over cropland and wetland. The assessments at different time scales further confirm that LST fluctuations can be better described by the ATCE. Though with limitations, we consider this new model and its associated parameters hold great potentials in various applications.
Characterizing the Spatio-Temporal Pattern of Land Surface Temperature through Time Series Clustering: Based on the Latent Pattern and Morphology
Authors: Liu Huimin , Zhan Qingming , Yang Chen , Wang Jiong
Published: April 2018

Land Surface Temperature (LST) is a critical component to understand the impact of urbanization on the urban thermal environment. Previous studies were inclined to apply only one snapshot to analyze the pattern and dynamics of LST without considering the non-stationarity in the temporal domain, or focus on the diurnal, seasonal, and annual pattern analysis of LST which has limited support for the understanding of how LST varies with the advancing of urbanization. This paper presents a workflow to extract the spatio-temporal pattern of LST through time series clustering by focusing on the LST of Wuhan, China, from 2002 to 2017 with a 3-year time interval with 8-day MODerate-resolution Imaging Spectroradiometer (MODIS) satellite image products. The Latent pattern of LST (LLST) generated by non-parametric Multi-Task Gaussian Process Modeling (MTGP) and the Multi-Scale Shape Index (MSSI) which characterizes the morphology of LLST are coupled for pattern recognition. Specifically, spatio-temporal patterns are discovered after the extraction of spatial patterns conducted by the incorporation of k -means and the Back-Propagation neural networks (BP-Net). The spatial patterns of the 6 years form a basic understanding about the corresponding temporal variances. For spatio-temporal pattern recognition, LLSTs and MSSIs of the 6 years are regarded as geo-referenced time series. Multiple algorithms including traditional k -means with Euclidean Distance (ED), shape-based k -means with the constrained Dynamic Time Warping ( c DTW) distance measure, and the Dynamic Time Warping Barycenter Averaging (DBA) centroid computation method ( k - c DBA) and k -shape are applied. Ten external indexes are employed to evaluate the performance of the three algorithms and reveal k - c DBA as the optimal time series clustering algorithm for our study. The study area is divided into 17 geographical time series clusters which respectively illustrate heterogeneous temporal dynamics of LST patterns. The homogeneous geographical clusters correspond to the zoning custom of urban planning and design, and thus, may efficiently bridge the urban and environmental systems in terms of research scope and scale. The proposed workflow can be utilized for other cities and potentially used for comparison among different cities.
Using Satellite Altimetry to Calibrate the Simulation of Typhoon Seth Storm Surge off Southeast China
Authors: Li Xiaohui , Han Guoqi , Yang Jingsong , Chen Dake , Zheng Gang , Chen Nan
Published: April 2018

Satellite altimeters can capture storm surges generated by typhoons and tropical storms, if the satellite flies over at the right time. In this study, we show TOPEX/Poseidon altimeter-observed storm surge features off Southeast China on 10 October 1994 during Typhoon Seth. We then use a three-dimensional, barotropic, finite-volume community ocean model (FVCOM) to simulate storm surges. An innovative aspect is that satellite data are used to calibrate the storm surge model to improve model performance, by adjusting model wind forcing fields (the National Center for Environment Prediction (NCEP) reanalysis product) in reference to the typhoon best-track data. The calibration reduces the along-track root-mean-square (RMS) difference between model and altimetric data from 0.15 to 0.10 m. It also reduces the RMS temporal difference from 0.21 to 0.18 m between the model results and independent tide-gauge data at Xiamen. In particular, the calibrated model produces a peak storm surge of 1.01 m at 6:00 10 October 1994 at Xiamen, agreeing with tide-gauge data; while the peak storm surge with the NCEP forcing is 0.71 m only. We further show that the interaction between storm surges and astronomical tides contributes to the peak storm surge by 34% and that the storm surge propagates southwestward as a coastally-trapped Kelvin wave.
An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks
Authors: Kuo Ping-Huan , Huang Chiou-Jye
Published: April 2018

Electricity price is a key influencer in the electricity market. Electricity market trades by each participant are based on electricity price. The electricity price adjusted with the change in supply and demand relationship can reflect the real value of electricity in the transaction process. However, for the power generating party, bidding strategy determines the level of profit, and the accurate prediction of electricity price could make it possible to determine a more accurate bidding price. This cannot only reduce transaction risk, but also seize opportunities in the electricity market. In order to effectively estimate electricity price, this paper proposes an electricity price forecasting system based on the combination of 2 deep neural networks, the Convolutional Neural Network (CNN) and the Long Short Term Memory (LSTM). In order to compare the overall performance of each algorithm, the Mean Absolute Error (MAE) and Root-Mean-Square error (RMSE) evaluating measures were applied in the experiments of this paper. Experiment results show that compared with other traditional machine learning methods, the prediction performance of the estimating model proposed in this paper is proven to be the best. By combining the CNN and LSTM models, the feasibility and practicality of electricity price prediction is also confirmed in this paper.
Patent Keyword Extraction for Sustainable Technology Management
Authors: Kim Jongchan , Choi Jaehyun , Park Sangsung , Jang Dongsik
Published: April 2018

Recently, sustainable growth and development has become an important issue for governments and corporations. However, maintaining sustainable development is very difficult. These difficulties can be attributed to sociocultural and political backgrounds that change over time [1]. Because of these changes, the technologies for sustainability also change, so governments and companies attempt to predict and manage technology using patent analyses, but it is very difficult to predict the rapidly changing technology markets. The best way to achieve insight into technology management in this rapidly changing market is to build a technology management direction and strategy that is flexible and adaptable to the volatile market environment through continuous monitoring and analysis. Quantitative patent analysis using text mining is an effective method for sustainable technology management. There have been many studies that have used text mining and word-based patent analyses to extract keywords and remove noise words. Because the extracted keywords are considered to have a significant effect on the further analysis, researchers need to carefully check out whether they are valid or not. However, most prior studies assume that the extracted keywords are appropriate, without evaluating their validity. Therefore, the criteria used to extract keywords needs to change. Until now, these criteria have focused on how well a patent can be classified according to its technical characteristics in the collected patent data set, typically using term frequency–inverse document frequency weights that are calculated by comparing the words in patents. However, this is not suitable when analyzing a single patent. Therefore, we need keyword selection criteria and an extraction method capable of representing the technical characteristics of a single patent without comparing them with other patents. In this study, we proposed a methodology to extract valid keywords from single patent documents using relevant papers and their authors’ keywords. We evaluated the validity of the proposed method and its practical performance using a statistical verification experiment. First, by comparing the document similarity between papers and patents containing the same search terms in their titles, we verified the validity of the proposed method of extracting patent keywords using authors’ keywords and the paper. We also confirmed that the proposed method improves the precision by about 17.4% over the existing method. It is expected that the outcome of this study will contribute to increasing the reliability and the validity of the research on patent analyses based on text mining and improving the quality of such studies.
Efficient Protection of Android Applications through User Authentication Using Peripheral Devices
Authors: Kim Jinseong , Jung Im Y.
Published: April 2018

Android applications store large amounts of sensitive information that may be exposed and exploited. To prevent this security risk, some applications such as Syrup and KakaoTalk use physical device values to authenticate or encrypt application data. However, by manipulating these physical device values, an attacker can circumvent the authentication by executing a Same Identifier Attack and obtain the same application privileges as the user. In our work, WhatsApp, KakaoTalk, Facebook, Amazon, and Syrup were subjected to the Same Identifier Attack, and it was found that an attacker could gain the same privileges as the user, in all five applications. To solve such a problem, we propose a technical scheme—User Authentication using Peripheral Devices. We applied the proposed scheme to a Nexus 5X smartphone running Android version 7.1 and confirmed that the average execution time was 0.005 s, which does not affect the other applications’ execution significantly. We also describe the security aspects of the proposed scheme and its compatibility with the Android platform and other applications. The proposed scheme is practical and efficient in terms of resource usage; therefore, it will be useful for Android users to improve Android application security.
Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE
Authors: Liao Huchang , Wu Di , Huang Yulong , Ren Peijia , Xu Zeshui , Verma Mohit
Published: April 2018

In the process of evaluating the green levels of cold-chain logistics providers, experts may hesitate between several linguistic terms rather than give precise values over the alternatives. Due to the potential profit and risk of business decisions, decision-making information is often based on experts’ expectations of programs and is expressed as hesitant fuzzy linguistic terms. The consistency of evaluation information of an alternative can reflect the clarity of the alternative in the mind of experts and its own controversy. This paper proposes a method to use the value transfer function in the cumulative prospect theory to convert the original hesitant fuzzy linguistic terms into evaluation information based on reference points. We also introduce the parameters related to the disorder of the system in the hesitant fuzzy thermodynamic method to describe the quantity and quality characteristics of the alternatives. In these kinds of multi-criteria decision-making problems, the weights of criteria are of great importance for decision-making results. Considering the conflicting cases among criteria, the weights were obtained by utilizing the PROMETHEE method. An illustrative example concerning green logistics provider selection was operated to show the practicability of the proposed method.
Financing Target and Resale Pricing in Reward-Based Crowdfunding
Authors: Xu Lei , Wu Qingxia , Du Peng , Qiao Xiaojiao , Tsai Sang-Bing , Li Dahui
Published: April 2018

Resale is an effective tool for reward-based crowdfunding creators to make more profit after crowdfunding successfully. On the one hand, funds raised during the crowdfunding affect the resale pricing as a capital constraint; on the other hand, backers’ strategic purchasing behavior in the resale stage can also disturb the creator’s financing target decision-making through affecting resale pricing. In view of this, this paper builds a two-stage crowdfunding model to examine the interaction between the financing target and resale pricing in the presence of strategic backers. The results show that a lower financing amount leads to higher prices in the resale stage due to the rationing effect, and suppresses price volatility due to strategic purchasing behavior. In contrast, a higher financing amount enables the creator to build a large capacity, which does not restrict the resale prices and profit. Besides, in the context of high unit production cost or high backer patience level, there is no need for the creator to set a high financing target at the risk of crowdfunding failure.
Exploring Environmental Awareness and Behavior among Guests at Hotels That Apply Water-Saving Measures
Authors: Gabarda-Mallorquí Ariadna , Fraguell Rosa , Ribas Anna
Published: April 2018

The aim of this study was to investigate guest profiles at a hotel that has created a best-practices water management model to determine how different types of guests contribute to saving water during their stay. To do this, we analyzed levels of environmental awareness and pro-environmental behavior among the guests. Information was gathered through 648 structured surveys with guests at Hotel Samba in the Spanish seaside resort of Lloret de Mar between September 2015 and August 2016. Cluster analysis revealed four profiles of guests with different sociodemographic characteristics and different levels of awareness and proactivity in relation to water conservation. We combined our findings to develop a framework that illustrates how the two dimensions of environmental awareness and pro-environmental behavior are related in this setting. This article provides new insights into how hotel guests’ environmental awareness and engagement can influence a hotel’s water-saving efforts. These insights should help hotel operators to devise new, guest-centered strategies for saving water.
Some Interval Neutrosophic Linguistic Maclaurin Symmetric Mean Operators and Their Application in Multiple Attribute Decision Making
Authors: Geng Yushui , Wang Xingang , Li Xuemei , Yu Kun , Liu Peide
Published: April 2018

There are many practical decision-making problems in people’s lives, but the information given by decision makers (DMs) is often unclear and how to describe this information is of critical importance. Therefore, we introduce interval neutrosophic linguistic numbers (INLNs) to represent the less clear and uncertain information and give their operational rules and comparison methods. In addition, since the Maclaurin symmetric mean (MSM) operator has the special characteristic of capturing the interrelationships among multi-input arguments, we further propose an MSM operator for INLNs (INLMSM). Furthermore, considering the weights of attributes are the important parameters and they can influence the decision results, we also propose a weighted INLMSM (WINLMSM) operator. Based on the WINLMSM operator, we develop a multiple attribute decision making (MADM) method with INLNs and some examples are used to show the procedure and effectiveness of the proposed method. Compared with the existing methods, the proposed method is more convenient to express the complex and unclear information. At the same time, it is more scientific and flexible in solving the MADM problems by considering the interrelationships among multi-attributes.
Efficient Protein Expression and Virus-Induced Gene Silencing in Plants Using a Crinivirus-Derived Vector
Authors: Qiao Wenjie , Falk Bryce W.
Published: April 2018

Plant virus-based vectors are valuable tools for recombinant gene expression and functional genomics for both basic and applied research. In this study, Lettuce infectious yellows virus (LIYV) of the genus Crinivirus was engineered into a virus vector that is applicable for efficient protein expression and virus-induced gene silencing (VIGS) in plants. We examined gene replacement and “add a gene” strategies to develop LIYV-derived vectors for transient expression of the green fluorescent protein (GFP) reporter in Nicotiana benthamiana plants. The latter yielded higher GFP expression and was further examined by testing the effects of heterologous controller elements (CEs). A series of five vector constructs with progressively extended LIYV CP sgRNA CEs were tested, the longest CE gave the highest GFP expression but lower virus accumulation. The whitefly transmissibility of the optimized vector construct to other host plants, and the capability to accommodate and express a larger gene, a 1.8 kb β-glucuronidase (GUS) gene, were confirmed. Furthermore, the LIYV vector was also validated VIGS by silencing the endogenous gene, phytoene desaturase (PDS) in N. benthamiana plants, and the transgene GFP in N. benthamiana line 16c plants. Therefore, LIYV-derived vectors could provide a technical reference for developing vectors of other economically important criniviruses.
The Mediterranean Moisture Contribution to Climatological and Extreme Monthly Continental Precipitation
Authors: Ciric Danica , Nieto Raquel , Losada Lucia , Drumond Anita , Gimeno Luis
Published: April 2018

Moisture transport from its sources to surrounding continents is one of the most relevant topics in hydrology, and its role in extreme events is crucial for understanding several processes such as intense precipitation and flooding. In this study, we considered the Mediterranean Sea as the main water source and estimated its contribution to the monthly climatological and extreme precipitation events over the surrounding continental areas. To assess the effect of the Mediterranean Sea on precipitation, we used the Multi-Source Weighted-Ensemble Precipitation (MSWEP) database to characterize precipitation. The Lagrangian dispersion model known as FLEXPART was used to estimate the moisture contribution of this source. This contribution was estimated by tracking particles that leave the Mediterranean basin monthly and then calculating water loss (E − P < 0) over the continental region, which was modelled by FLEXPART. The analysis was conducted using data from 1980 to 2015 with a spatial resolution of 0.25°. The results showed that, in general, the spatial pattern of the Mediterranean source’s contribution to precipitation, unlike climatology, is similar during extreme precipitation years in the regions under study. However, while the Mediterranean Sea is usually not an important source of climatological precipitation for some European regions, it is a significant source during extreme precipitation years.
Effects of Partial Root-Zone Irrigation on the Water Use Efficiency and Root Water and Nitrate Uptake of Corn
Authors: Barideh Rahman , Besharat Sina , Morteza Mohamad , Rezaverdinejad Vahid
Published: April 2018

Due to water shortages and the increasing need for food in recent years, the optimization of water consumption parameters, fertilizers, and food production are essential and a priority. The aim of this study is to investigate the effect of partial root-zone irrigation (PRI) methods on corn plant characteristics. The study also tried to measure the water use efficiency (WUE) of corn in pot cultivation and provide the best method of management in the fields of irrigation and fertigation. For this purpose, three irrigation methods, including alternate partial root-zone irrigation (APRI), fixed partial root-zone irrigation (FPRI), and conventional irrigation (CI) were studied in pots, and completely randomized blocks with eight replications were carried out. Each pot was evenly separated with plastic sheets into two sub-parts of equal volume, between which no water exchange occurred. The water content of the field capacity was calculated by the weighting method. The water requirement was provided daily, equal to 95% of the field capacity water content. Parameters including shoot and root dry weight, nitrate (N) uptake, the remaining nitrate in the soil, leaf area index, and WUE during the growing season were measured and compared. According to the results, the amount of saved water using the FPRI and APRI methods compared to the CI method were 28% and 32%, respectively. The highest and lowest WUE were observed as equal to 4.88 and 3.82 g/L using the APRI and CI methods, respectively, among which the CI method had the highest yield according to the amount of utilized water. Given the statistical examinations, there was no significant difference in the nitrate level of plants between CI and APRI, and the lowest uptake was observed in FPRI. Finally, considering indicators of yield production and WUE simultaneously, the APRI method was selected as the best method of management.
Inundation Analysis of Reservoir Flood Based on Computer Aided Design (CAD) and Digital Elevation Model (DEM)
Authors: Li Jiqing , Li Jianchang , Yao Kaiwen
Published: April 2018

GIS (Geographic Information System) can be used to combine multiple hydrologic data and geographic data for FIA (Flood Impact Assessment). For a developing country like China, a lot of geographic data is in the CAD (Computer Aided Design) format. The commonly used method for converting CAD into DEM may result in data loss. This paper introduces a solution for the conversion between CAD data and DEM data. The method has been applied to the FIA based on the topographic map of CAD in Hanjiang River. When compared with the other method, the new method solves the data loss problem. Besides, the paper use GIS to simulate the inundation range, area, and the depth distribution of flood backwater. Based on the analysis, the author concludes: (1) the differences of the inundation areas between the flood of HQ100 and the flood of HQ50 are small. (2) The inundation depth shows a decreasing trend along the upstream of the river. (3) The inundation area less than 4 m in flood of HQ50 is larger than that in flood of HQ100, the result is opposite when the inundation depth is greater than 4 m. (4) The flood loss is 392.32 million RMB for flood of HQ50 and 610.02 million RMB for flood of HQ100. The method can be applied to FIA.
Adsorption of Isothiazolone Biocides in Textile Reverse Osmosis Concentrate by Powdered Activated Carbon
Authors: Li Bing-Tian , Chen Zhuo , Wang Wen-Long , Sun Ying-Xue , Zhou Tian-Hui , Li Ang , Wu Qian-Yuan , Hu Hong-Ying
Published: April 2018

Isothiazolones have been widely applied as non-oxidizing biocides to prevent biofouling of reverse osmosis (RO) membranes. However, few studies have investigated suitable RO concentrate treatments to remove these biocides. This study evaluated the adsorption behavior of four isothiazolone biocides, 2-methyl-4-isothiazolin-3-one (MIT), 5-chloro-2-methyl-4-isothiazolin-3-one (CMIT), 1,2-benzisothiazol-3(2H)-one (BIT), and 2-n-octyl-4-isothiazolin-3-one (OIT), by powdered activated carbon (PAC). Isothiazolones adsorption was found to obey pseudo second-order kinetics. Langmuir adsorption isotherms were more suitable to simulation of the adsorption effects than Freundlich isotherms. The adsorption amount followed the order OIT > BIT > CMIT > MIT, in accordance with the isothiazolones octanol/water partition coefficients (Kow), indicating that hydrophobicity is the main factor for influencing adsorption amounts. Following normalization with Kow, the amounts of isothiazolones adsorbed at equilibrium and normalized aqueous concentrations showed a linear relationship in a log-linear form. 1,2-benzisothiazol-3(2H)-one is anionic at high pH, and difficult to adsorb, while neutral BIT is more likely to be adsorbed. Textile reverse osmosis concentrate had an adverse effect on MIT, CMIT and BIT adsorption, but little effect on adsorption of OIT, which has a high log Kow value. There was competition between organics and isothiazolones for PAC adsorption sites, which influenced the adsorption efficiency.