bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Small RNAs of Barley Genotypes Associated with Resistance to Barley Yellow Dwarf Virus
Authors: Jarošová Jana , Singh Khushwant , Chrpová Jana , Kundu Jiban Kumar
Published: January 2020

Barley yellow dwarf virus (BYDV) causes an often-devastating disease of cereals that is most effectively controlled by using plant genotypes that are resistant or tolerant to the virus. New barley lines Vir8:3 and Vir13:8, with pyramided resistance genes against different pathogens and resistance gene Ryd2 against BYDV, are currently being tested. Because microRNAs (miRNAs) are associated with antiviral plant defense, here we compared the miRNA profiles in these lines and in cultivar Wysor (carrying one resistance gene, Ryd2), with and without BYDV infection and after feeding by virus-free aphids, to determine whether the miRNA profile in the resistant variety bear similarities with the newly developed lines. The BYDV titer for each group was also determined and compared to the titer in sensitive cultivar Graciosa. Among 746 miRNAs identified in barley, 66 were known miRNAs, and 680 were novel. The expression of 73 miRNAs differed significantly after BYDV infection, including the strong, specific upregulation of novel miRNA10778 that was conserved across all the barley genotypes. This miRNA belongs to the H box and ACA box (H/ACA) snoR14 family of RNAs (Rf01280) and is associated with pseudourydilation. The expression of 48 miRNAs also differed depending on the barley genotype. The profile of miRNAs expressed in Vir8:3 and Vir13:8 in response to BYDV was similar and differed from that of Wysor. Insights into the expression patterns of miRNAs in response to BYDV in barley provided here will benefit further studies toward understanding the resistance mechanisms and developing novel strategies against virus infections.
Biocontrol Potential of Sclerotinia sclerotiorum and Physiological Changes in Soybean in Response to Butia archeri Palm Rhizobacteria
Authors: Vitorino Luciana Cristina , Silva Fellipe Oliveira da , Cruvinel Bárbara Gonçalves , Bessa Layara Alexandre , Rosa Márcio , Souchie Edson Luiz , Silva Fabiano Guimarães
Published: January 2020

Sclerotinia sclerotiorum is a necrotrophic parasitic fungus that causes Sclerotinia stem rot (SSR), which is currently one of the most difficult agronomic crop diseases to control. A number of plants of the Brazilian Cerrado biome have been shown to be important sources of symbiotic microorganisms with biotechnological potential, so we decided to test the potential of bacteria isolated from the dwarf jelly palm, Butia archeri (Arecaceae) for the control of the pathogenic effects provoked by S. sclerotiorum. For this, we bioprimed seeds and evaluated the effects of this biopriming on the OJIP transient patterns prior to and following infection by the phytopathogen. Plants treated with the BA48R strain of Enterobacter sp., and in particular, those treated with the BA88R strain of Bacillus cereus presented the best results in terms of the loss/gain of the physiological and symptomatological variables evaluated. The plants bioprimed with BA88R presented high post-infection levels of total chlorophyll (33.35 FCIs) and chlorophyll a (26.39 FCIs), maintained a high Nitrogen Balance Index (NBI = 18.87), and synthesized low concentrations of flavonoids (1.39). These plants also maintained high levels of PIABS (1.111) and PITOTAL (1.300) following infection, and low levels of Di0/RC (0.602), which indicates that, in the presence S. sclerotiorum, the efficiency of the photosynthesis in the plants treated with these bacteria was less affected in the reaction centers, as confirmed by the negative amplitude recorded in the L band. The present study reconfirms the importance of the use of chlorophyll fluorescence for the diagnosis of disease and conditions of stress in crop plants, in addition to demonstrating the effectivenesss of the BA48R bacterial strain and, in particular, the BA88R strain on systemic resistance induction and suppression of S. sclerotiorum in Glycine max plants, with enormous potential for the development of more sustainable agricultural processes.
Robust Fault Protection Technique for Low-Voltage Active Distribution Networks Containing High Penetration of Converter-Interfaced Renewable Energy Resources
Authors: Cui Shijie , Zeng Peng , Song Chunhe , Wang Zhongfeng
Published: January 2020

With the decentralization of the electricity market and the plea for a carbon-neutral ecosystem, more and more distributed generation (DG) has been incorporated in the power distribution grid, which is then known as active distribution network (ADN). The addition of DGs causes numerous control and protection confronts to the traditional distribution network. For instance, two-way power flow, small fault current, persistent fluctuation of generation and demand, and uncertainty of renewable energy sources (RESs). These problems are more challenging when the distribution network hosts many converter-coupled DGs. Hence, the traditional protection schemes and relaying methods are inadequate to protect ADNs against short-circuit faults and disturbances. We propose a robust communication-assisted fault protection technique for safely operating ADNs with high penetration of converter-coupled DGs. The proposed technique is realizable by employing digital relays available in the recent market and it aims to protect low-voltage (LV) ADNs. It also includes secondary protection that can be enabled when the communication facility or protection equipment fails to operate. In addition, this study provides the detail configuration of the digital relay that enables the devised protection technique. Several enhancements are derived, as alternative technique for the traditional overcurrent protection approach, to detect small fault current and high-impedance fault (HIF). A number of simulations are performed with the complete model of a real ADN, in Shenyang, China, employing the PSCAD software platform. Various cases, fault types and locations are considered for verifying the efficacy of the devised technique and the enabling digital relay. The obtained simulation findings verify the proposed protection technique is effective and reliable in protecting ADNs against various fault types that can occur at different locations.
Integrated Forecasting Method for Wind Energy Management: A Case Study in China
Authors: Dong Yao , Zhang Lifang , Liu Zhenkun , Wang Jianzhou
Published: January 2020

Wind speed forecasting helps to increase the efficacy of wind farms and prompts the comparative superiority of wind energy in the global electricity system. Many wind speed forecasting theories have been widely applied to forecast wind speed, which is nonlinear, and unstable. Current forecasting strategies can be applied to various wind speed time series. However, some models neglect the prerequisite of data preprocessing and the objective of simultaneously optimizing accuracy and stability, which results in poor forecast. In this research, we developed a combined wind speed forecasting strategy that includes several components: data pretreatment, optimization, forecasting, and assessment. The developed system remedies some deficiencies in traditional single models and markedly enhances wind speed forecasting performance. To evaluate the performance of this combined strategy, 10-min wind speed sequences gathered from large wind farms in Shandong province in China were adopted as a case study. The simulation results show that the forecasting ability of our proposed combined strategy surpasses the other selected comparable models to some extent. Thus, the model can provide reliable support for wind power generation scheduling.
Anaerobic Co-Digestion of Wastewater Sludge: A Review of Potential Co-Substrates and Operating Factors for Improved Methane Yield
Authors: Chow Wei , Chong Siewhui , Lim Jun , Chan Yi , Chong Mei , Tiong Timm , Chin Jit , Pan Guan-Ting
Published: January 2020

Anaerobic digestion has been widely employed in waste treatment for its ability to capture methane gas released as a product during the digestion. Certain wastes, however, cannot be easily digested due to their low nutrient level insufficient for anaerobic digestion, thus co-digestion is a viable option. Numerous studies have shown that using co-substrates in anaerobic digestion systems improve methane yields as positive synergisms are established in the digestion medium, and the supply of missing nutrients are introduced by the co-substrates. Nevertheless, large-scale implementation of co-digestion technology is limited by inherent process limitations and operational concerns. This review summarizes the results from numerous laboratory, pilot, and full-scale anaerobic co-digestion (ACD) studies of wastewater sludge with the co-substrates of organic fraction of municipal solid waste, food waste, crude glycerol, agricultural waste, and fat, oil and grease. The critical factors that influence the ACD operation are also discussed. The ultimate aim of this review is to identify the best potential co-substrate for wastewater sludge anaerobic co-digestion and provide a recommendation for future reference. By adding co-substrates, a gain ranging from 13 to 176% in the methane yield was accomplished compared to the mono-digestions.
Numerical Comparison of a Combined Hydrothermal Carbonization and Anaerobic Digestion System with Direct Combustion of Biomass for Power Production
Authors: Heidari Mohammad , Salaudeen Shakirudeen , Norouzi Omid , Acharya Bishnu , Dutta Animesh
Published: January 2020

Two of the methods for converting biomass to fuel are hydrothermal carbonization (HTC) and anaerobic digestion (AD). This study is aimed at designing and analyzing two scenarios for bioenergy production from undervalued biomass (sawdust). In one of the scenarios (direct combustion or DC), raw biomass is burned in a combustor to provide the heat that is required by the Rankine cycle to generate electricity. In the other scenario (HTC-AD), the raw biomass first undergoes HTC treatment. While the solid product (hydrochar) is used to produce power by a Rankine cycle, the liquid by-product undergoes an AD process. This results in fuel gas production and it can be used in a Brayton cycle to generate more power. Energy and mass balance analysis of both scenarios were developed for each unit process by using Engineering Equation Solver (EES). The required data were obtained experimentally or from the literature. The performances of the proposed systems were evaluated, and a sensitivity analysis was presented to help in finding the best operational conditions.
Bio-Resin Production through Ethylene Unsaturated Carbon Using Vegetable Oils
Authors: A. Latif Farah Ezzah , Zainal Abidin Zurina , Cardona Francisco , Awang Biak Dayang R. , Abdan Khalina , Mohd Tahir Paridah , Kan Ern Liew
Published: January 2020

Bio-resins are bio-based materials derived from vegetable resources, especially from vegetable seed oils. It is widely known that bio-resources are renewable, highly available, and sustainable. Resins and most polymers are largely derived from petroleum-based sources that are known to pose chemical risks. Resins have practical applications in printing inks, plasticisers and diluents, as well as in coating materials. Vegetable oils possess a large number of oxirane groups, which are essential for epoxidation to occur, resulting in the production of bio-resins. This undeniably serves as a promising candidate for competing with fossil-fuel-derived petroleum-based products. Thus, the aim of this review paper is to highlight aspects related to the production of bio-resins, including the chemical route of vegetable oil epoxidation process and its influencing factors, the reaction kinetics, bio-resins and the physico-chemical and mechanical properties of bio-resins, along with their applications. The resins industry has seen some remarkable progress towards the commercialisation of several bio-resins originating from vegetable oils, such as soybean oil, castor oil, and linseed oil. This success has undoubtedly intensified further efforts in fields related to bio-resin applications. Research and development is ongoing with the aim of customising a feasible formulation for the synthesis of bio-resins with the desired properties for catering to various applications
Accelerating Biologics Manufacturing by Modeling: Process Integration of Precipitation in mAb Downstream Processing
Authors: Lohmann Lara Julia , Strube Jochen
Published: January 2020

The demand on biologics has been constantly rising over the past decades and has become crucial in modern medicine. Promising approaches to cope with widespread diseases like cancer and diabetes are gene therapy, plasmid DNA, virus-like particles, and exosomes. Due to progress that has been made in upstream processing (USP), difficulties arise in downstream processing and demand for innovative solutions. This work focuses on the integration of precipitation using a quality by design (QbD) approach for process development. Selective precipitation is achieved with PEG 4000 resulting in an HCP depletion of ≥80% respectively to IgG. Dissolution was executed with a sodium phosphate buffer (pH = 5/50 mM) reaching an IgG recovery of ≥95%. However, the central challenge in process development is still an optimal process design, which is transferable for a broad molecular variety of new products. This is where rigorous modeling becomes vital in order to generate digital twins to support early-stage process development and reduce the experimental overhead. Therefore, a model development and validation concept for construction of a process model for precipitation is also presented.
Improved Genetic Algorithm Tuning Controller Design for Autonomous Hovercraft
Authors: Tran Huu Khoa , Son Hoang Hai , Duc Phan Van , Trang Tran Thanh , Nguyen Hoang-Nam
Published: January 2020

By mimicking the biological evolution process, genetic algorithm (GA) methodology has the advantages of creating and updating new elite parameters for optimization processes, especially in controller design technique. In this paper, a GA improvement that can speed up convergence and save operation time by neglecting chromosome decoding step is proposed to find the optimized fuzzy-proportional-integral-derivative (fuzzy-PID) control parameters. Due to minimizing tracking error of the controller design criterion, the fitness function integral of square error (ISE) was employed to utilize the advantages of the modified GA. The proposed method was then applied to a novel autonomous hovercraft motion model to display the superiority to the standard GA.
An Adaptive Second Order Sliding Mode Inverse Kinematics Approach for Serial Kinematic Chain Robot Manipulators
Authors: Mohammed Elawady Wael , Bouteraa Yassine , Elmogy Ahmed
Published: January 2020

The problem of inverse kinematics is essential to consider while dealing with the robot’s mechanical structure in almost all applications. Since the solution of the inverse kinematics problem is very complex, many research efforts have been working towards getting the approximate solution of this problem. However, for some applications, working with the approximate robot’s model is neither sufficient nor efficient. In this paper, an adaptive inverse kinematics methodology is developed to solve the inverse kinematics problem in such a way that compensate for unknown uncertainty in the Jacobian matrix of the serial kinematic chain robot manipulators. The proposed methodology is based on continuous second order sliding mode strategy (CSOSM-AIK). The salient advantage of the CSOSM-AIK approach is that it does not require the availability of the kinematics model or Jacobian matrix of the robot manipulators from joint space variables to Cartesian space variables. The global stability of the closed-loop system with CSOSM-AIK methodology is proven using the Lyapunov theorem. In order to demonstrate the robustness and effectiveness of the proposed methodology, some simulations are conducted.
Vertically Coupled Plasmonic Racetrack Ring Resonator for Biosensor Applications
Authors: Voronin Kirill V. , Stebunov Yury V. , Voronov Artem A. , Arsenin Aleksey V. , Volkov Valentyn S.
Published: January 2020

Plasmonic chemical and biological sensors offer significant advantages such as really compact sizes and extremely high sensitivity. Biosensors based on plasmonic waveguides and resonators are some of the most attractive candidates for mobile and wearable devices. However, high losses in the metal and complicated schemes for practical implementation make it challenging to find the optimal configuration of a compact plasmon biosensor. Here, we propose a novel plasmonic refractive index sensor based on a metal strip waveguide placed under a waveguide-based racetrack ring resonator made of the same metal. This scheme guarantees effective coupling between the waveguide and resonator and low loss light transmittance through the long-range waveguide. The proposed device can be easily fabricated (e.g., using optical lithography) and integrated with materials like graphene oxide for providing adsorption of the biomolecules on the sensitive part of the optical elements. To analyze the properties of the designed sensing system, we performed numerical simulations along with some analytical estimations. There is one other interesting general feature of this sensing scheme that is worth pointing out before looking at its details. The sensitivity of the considered device can be significantly increased by surrounding the resonator with media of slightly different refractive indices, which allows sensitivity to reach a value of more than 1 μm per refractive index unit.
Geo-Location Information Aided Spectrum Sensing in Cellular Cognitive Radio Networks
Authors: Chen Siji , Shen Bin , Wang Xin , Yoo Sang-Jo
Published: January 2020

Apart from the received signal energy, auxiliary information plays an important role in remarkably ameliorating conventional spectrum sensing. In this paper, a novel spectrum sensing scheme aided by geolocation information is proposed. In the cellular cognitive radio network (CCRN), secondary user equipments (SUEs) first acquire their wireless fingerprints via either received signal strength (RSS) or time of arrival (TOA) estimation over the reference signals received from their surrounding base-stations (BSs) and then pinpoint their geographical locations through a wireless fingerprint (WFP) matching process in the wireless fingerprint database (WFPD). Driven by the WFPD, the SUEs can easily ascertain for themselves the white licensed frequency band (LFB) for opportunistic access. In view of the fact that the locations of the primary user (PU) transmitters in the CCRN are either readily known or practically unavailable, the SUEs can either search the WFPD directly or rely on the support vector machine (SVM) algorithm to determine the availability of the LFB. Additionally, in order to alleviate the deficiency of single SUE-based sensing, a joint prediction mechanism is proposed on the basis of cooperation of multiple SUEs that are geographically nearby. Simulations verify that the proposed scheme achieves higher detection probability and demands less energy consumption than the conventional spectrum sensing algorithms.
Static Electromechanical Characteristic of a Three-Layer Circular Piezoelectric Transducer
Authors: Mieczkowski Grzegorz , Borawski Andrzej , Szpica Dariusz
Published: January 2020

The paper presents research related to the functional features of a novel three-layer circular piezoelectric actuator/sensor. The outer layers of the transducer are made of non-piezoelectric material. The middle layer comprises two elements—a piezoelectric disk, and a ring made of non-piezoelectric material. The additional external passive layer has a very important function; it protects the transducer’s electrical components against damage caused by external factors. Also, if sparking on the transducer wires or electrodes occurs, this layer prevents fire. So far, there is no analytical model for such a transducer. Closed-form analytical equations are important tools for predicting and optimizing the operation of devices. Thus, using both the Plate Theory and constitutive equations of piezoelectric materials, an analytical formula describing transducer deflection as a function of electrical loads has been found (electromechanical characteristic of the transducer). In addition, it is worth noting that under certain assumptions, the developed analytical model can also be used for two-layer transducers. The tests carried out show satisfactory compliance of the results obtained through the developed solution with both literature data and numerical data. Moreover, based on the obtained analytical model, the effect of selected non-dimensional variables on the actuator performance has been examined. These parameters include dimensions and mechanical properties of both piezoelectric disk and passive plates and strongly influence the behavior of the transducer.
Overcoming Bandwidth Limitations in Wireless Sensor Networks by Exploitation of Cyclic Signal Patterns: An Event-triggered Learning Approach
Authors: Beuchert Jonas , Solowjow Friedrich , Trimpe Sebastian , Seel Thomas
Published: January 2020

Wireless sensor networks are used in a wide range of applications, many of which require real-time transmission of the measurements. Bandwidth limitations result in limitations on the sampling frequency and number of sensors. This problem can be addressed by reducing the communication load via data compression and event-based communication approaches. The present paper focuses on the class of applications in which the signals exhibit unknown and potentially time-varying cyclic patterns. We review recently proposed event-triggered learning (ETL) methods that identify and exploit these cyclic patterns, we show how these methods can be applied to the nonlinear multivariable dynamics of three-dimensional orientation data, and we propose a novel approach that uses Gaussian process models. In contrast to other approaches, all three ETL methods work in real time and assure a small upper bound on the reconstruction error. The proposed methods are compared to several conventional approaches in experimental data from human subjects walking with a wearable inertial sensor network. They are found to reduce the communication load by 60–70%, which implies that two to three times more sensor nodes could be used at the same bandwidth.
Improving Coverage Rate for Urban Link Travel Time Prediction Using Probe Data in the Low Penetration Rate Environment
Authors: Tang Ruotian , Kanamori Ryo , Yamamoto Toshiyuki
Published: January 2020

Short-term travel time prediction is an important consideration in modern traffic control and management systems. As probe data technology has developed, research interest has moved from highways to urban roads. Most research has only focused on improving the prediction accuracy on urban roads because it is the key index of evaluating a model. However, the low penetration rate of probe vehicles at urban networks may result in the low coverage rate which restricts prediction models from practical applications. This research proposed a non-parametric model based on Bayes’ theorem and a resampling process to predict short-term urban link travel time, which can enhance the coverage rate while maintaining the prediction accuracy. The proposed model used data from vehicles in both the target link and its crossing direction, so its coverage rate can be expanded, especially when the data penetration rate is low. In addition, the utilization of relationships between vehicles in both directions can reflect the influence of signal timing. The proposed model was evaluated in a computer simulation to test its robustness and reliability under different data penetration rates. The results implied that the proposed model has a high coverage rate, demonstrating stable and acceptable performance at different penetration rates.
Analog Least Mean Square Loop for Self-Interference Cancellation: A Practical Perspective
Authors: Le Anh Tuyen , Tran Le Chung , Huang Xiaojing , Guo Yingjie Jay
Published: January 2020

Self-interference (SI) is the key issue that prevents in-band full-duplex (IBFD) communications from being practical. Analog multi-tap adaptive filter is an efficient structure to cancel SI since it can capture the nonlinear components and noise in the transmitted signal. Analog least mean square (ALMS) loop is a simple adaptive filter that can be implemented by purely analog means to sufficiently mitigate SI. Comprehensive analyses on the behaviors of the ALMS loop have been published in the literature. This paper proposes a practical structure and presents an implementation of the ALMS loop. By employing off-the-shelf components, a prototype of the ALMS loop including two taps is implemented for an IBFD system operating at the carrier frequency of 2.4 GHz. The prototype is firstly evaluated in a single carrier signaling IBFD system with 20 MHz and 50 MHz bandwidths, respectively. Measured results show that the ALMS loop can provide 39 dB and 33 dB of SI cancellation in the radio frequency domain for the two bandwidths, respectively. Furthermore, the impact of the roll-off factor of the pulse shaping filter on the SI cancellation level provided by the prototype is presented. Finally, the experiment with multicarrier signaling shows that the performance of the ALMS loop is the same as that in the single carrier system. These experimental results validate the theoretical analyses presented in our previous publications on the ALMS loop behaviors.
A Computer Vision-Based Navigation and Localization Method for Station-Moving Aircraft Transport Platform with Dual Cameras
Authors: Tang Jianming , Zhu Weidong , Bi Yunbo
Published: January 2020

In order to develop equipment adapted to the aircraft pulse final assembly line, a vision-based aircraft transport platform system is developed. This article explores a guiding method between assembly stations which is low-cost and easy to change routes by using two-dimensional code and two complementary metal oxide semiconductor (CMOS) cameras. The two cameras installed on the front and back of the platform read the two-dimensional code containing station information to guide the platform. In the process of guiding, the theoretical position and posture of the platform at each assembly station are known, but there is a difference between the actual and theoretical values due to motion errors. To reduce the influence of the deviation on the navigation route, a localization method is proposed based on the two-dimensional images captured by the cameras. Canny edge detection is applied to the processed image to obtain the position of the two-dimensional code in the image, which can measure the angle/distance deviation of the platform. Then, the computer can locate the platform precisely by the information in the two-dimensional code and the deviation measured by the image. To verify the feasibility of the proposed method, experiments have been performed on the developed platform system. The results show that the distance and angle errors of the platform are within ±10 mm and ±0.15° respectively.
Home off the Range: The Role of Wild Horse Internet Adoptions in Informing Sustainable Western United State Rangeland Management
Authors: Bender Kathryn , Stowe C. Jill
Published: January 2020

According to the Bureau of Land Management (BLM), there are about 60,000 more wild horses and burros roaming the rangelands in the western United States than the land can sustain. While the BLM is pursuing a number of strategies to address this imbalance, placing wild horses and burros in private homes is one of the most preferred options. However, little is known about the demand for wild horses. This paper utilizes data from internet adoptions of wild horses to better understand the demand side of the market. More specifically, results from a Heckman selection model provide estimates of the market value of various characteristics of wild horses. By describing adopter preferences, these estimates can aid policy makers in optimizing strategies to manage the wild horse population.
Abusive Supervision and Organizational Citizenship Behavior: The Mediating Role of Networking Behavior
Authors: Kim Hyosun , Chen Yunlu , Kong Hyewon
Published: January 2020

Abusive supervision has been recognized as a serious threat to the health of affected employees and to the sustainable development of organizations. Yet, the mechanism through which abusive supervision affects organizational performance is not well understood. We suggest that abusive supervision restricts important workplace behavior, especially networking behavior and organizational citizenship behavior, which is crucial for building social capital within organizations. We test our hypothesis using a new data set constructed from a questionnaire survey among Chinese employees in various firms. The results show that perceived abusive supervision affects both networking behavior and organizational citizenship behavior. Furthermore, networking behavior partially mediates the relationship between abusive supervision and organizational citizenship behavior. The results provide important insights into the role of abusive supervision in building social capital within organizations.
Sustainability Dynamics of Traditional Villages: A Case Study in Qiannan Prefecture, Guizhou, China
Authors: Xiao Yi , Zhao Jinqi , Sun Siqi , Guo Luo , Axmacher Jan , Sang Weiguo
Published: January 2020

Rapid urbanization has greatly changed traditional villages in rural areas of China. This paper aims to assess sustainability and obtain its spatio–temporal dynamics, analyze the cause of sustainability changing conditions, and offer suggestions on the sustainable development of traditional villages. We integrated human disturbances into a minimum cumulative resistance (MCR) model based on land use, landscape patterns, and ecosystem service (ES) provision in order to evaluate the sustainability dynamics of traditional villages between 1995 and 2015 in the Qiannan Prefecture, China. The results showed that pronounced declines in sustainability were limited to the northern and eastern regions, where the degradation of forest ecosystems and the rapid increase in construction land have resulted in landscape fragmentation and ES decline. We suggest that scientific land use development plans and ecological restoration should be implemented to protect the ecosystem and improve the sustainability of traditional villages in Qiannan Prefecture.
The Role of the Extensive Green Roofs on Decreasing Building Energy Consumption in the Mediterranean Climate
Authors: Maiolo Mario , Pirouz Behrouz , Bruno Roberto , Palermo Stefania Anna , Arcuri Natale , Piro Patrizia
Published: January 2020

Buildings portion in global energy consumption is 40%, and in the building envelope, the roof is a crucial point for improving indoor temperature, especially in the last and second last floors. Studies show that green roofs can be applied to moderate roof temperature and affect the indoor temperature in summer and winter. However, the performance of green roofs depends on several parameters such as climate, irrigation, layer materials, and thickness. In this context, the present research deals with a comprehensive experimental analysis of different thermal impacts of green roofs in summer and winter in a Mediterranean climate. Measurements carried out in one year in three different types of green roofs with different thicknesses, layers, and with and without the insulation layer. The analysis determined the possible period that indoor cooling or heating might be required with and without green roofs and demonstrated the positive impact of green roofs in moderating the roof temperature and temperature fluctuations, which in summer was remarkable. In conclusion, since in the Mediterranean climate, the thermal differences between green roofs and conventional roofs in summer are much higher than winter, it seems that the green roof without an insulation layer would show better performance.
Production Strategy Development: Simulation of Dependencies Using Recurrent Fuzzy Systems
Authors: Brönner Matthias , Wolff Sebastian , Jovanovic Jelena , Keuthen Konstantin , Lienkamp Markus
Published: January 2020

New and unsaturated markets are predominantly located in countries with low incomes. To successfully establish businesses in these new markets, an increasing globalization of value creation is necessary. The integration of these new markets is challenged by their dynamics, turbulence and regulation. Above all, an initially low and volatile demand as well as high barriers for market entry must be counteracted by economical small-series production. As market development is a major challenge for Small and Medium Enterprises (SME), knowledge about the impact of local conditions on their production strategy decisions is essential. Therefore, we design a recurrent fuzzy model combining country- and company-specific input factors as well as internal production parameters to obtain a transparent and reproducible impact statement. The model allows a simplified development of the expert knowledge base by mapping the influences in two steps. The application of the designed model is based on the example of the aCar mobility project, within which an electric vehicle was designed for local value creation in Africa. By applying the model for different African countries, strategy sensitivities can be identified, and recommendations derived.
Report from the 26th Meeting on Toxinology, “Bioengineering of Toxins”, Organized by the French Society of Toxinology (SFET) and Held in Paris, France, 4–5 December 2019
Authors: Marchot Pascale , Diochot Sylvie , Popoff Michel R. , Benoit Evelyne
Published: January 2020

This 26th edition of the annual Meeting on Toxinology (RT26) of the SFET (http://sfet.asso.fr/international) was held at the Institut Pasteur of Paris on 4–5 December 2019 [...]
Global Medicine, Parasites, and Tasmania
Authors: Goldsmid John , Bettiol Silvana
Published: January 2020

Until the 1970s, infectious disease training in most medical schools was limited to those diseases common in the area of instruction. Those wishing to explore a more globalised curriculum were encouraged to undertake specialist postgraduate training at schools or institutes of tropical medicine. However, the increase in global trade and travel from the 1970s onward led to dramatic changes in the likelihood of returning travellers and new immigrants presenting with tropical infections in temperate regions. Furthermore, population growth and the changing relationships between animals, the environment, and man in agriculture accentuated the importance of a wider understanding of emerging infectious diseases, zoonotic diseases and parasitic infections. These epidemiological facts were not adequately reflected in the medical literature or medical curriculum at the time. The orientation on tropical infections needed specialised attention, including instruction on diagnosis and treatment of such infections. We describe key global health events and how the changing field of global medicine, from the 1970s to early 2000, impacted on medical education and research. We describe the impact of global health changes in the Tasmanian context, a temperate island state of Australia. We retrospectively analysed data of patients diagnosed with parasites and present a list of endemic and non-endemic parasites reported during this period. Finally, we reflect on the new approaches to the changing needs of global health and challenges that medical programmes, learners and educators face today.
Infection with Foamy Virus in Wild Ruminants—Evidence for a New Virus Reservoir?
Authors: Materniak-Kornas Magdalena , Löchelt Martin , Rola Jerzy , Kuźmak Jacek
Published: January 2020

Foamy viruses (FVs) are widely distributed and infect many animal species including non-human primates, horses, cattle, and cats. Several reports also suggest that other species can be FV hosts. Since most of such studies involved livestock or companion animals, we aimed to test blood samples from wild ruminants for the presence of FV-specific antibodies and, subsequently, genetic material. Out of 269 serum samples tested by ELISA with the bovine foamy virus (BFV) Gag and Bet antigens, 23 sera showed increased reactivity to at least one of them. High reactive sera represented 30% of bison samples and 7.5% of deer specimens. Eleven of the ELISA-positives were also strongly positive in immunoblot analyses. The peripheral blood DNA of seroreactive animals was tested by semi-nested PCR. The specific 275 bp fragment of the pol gene was amplified only in one sample collected from a red deer and the analysis of its sequence showed the highest homology for European BFV isolates. Such results may suggest the existence of a new FV reservoir in bison as well as in deer populations. Whether the origin of such infections stems from a new FV or is the result of BFV inter-species transmission remains to be clarified.
Immunohistochemical Analysis of a Vitreous Membrane Removed from a Patient with Incontinentia Pigmenti-Related Retinal Detachment
Authors: Janáky Márta , Hári Kovács András , Jánossy Ágnes , Török Dóra , Ivanyi Béla , Braunitzer Gábor , Benedek György
Published: January 2020

This is a case history of a 23-year-old woman suffering from incontinentia pigmenti (IP). The patient’s vision in the left eye started to deteriorate due to cataract progression at the age of 22, and by the age of 23, it dropped from 0.9 to 0.04. Ultrasound examination confirmed tractional vitreoretinal membranes. Vitrectomy was performed, therefore, on her left eye. The histological evaluation of vitreous membrane revealed a complex immunophenotype (positivity for glial fibrillary acidic protein (GFAP), vimentin, S-100, anti-pan cytokeratin antibody (AE/AE3), and smooth muscle-specific actin (SMA) to various extents). The right eye remained unsymptomatic throughout this course. Besides being the first to analyze the tractional vitreoretinal membrane in IP with immunohistochemical methods, this case study points out that extreme cases of asymmetric side involvement in IP do exist, even to the point of one eye being completely unsymptomatic.
PERANCANGAN TATA LETAK LABORATORIUM PAKAN DENGAN METODE COMPUTERIZED RELATIONSHIP LAYOUT PLANNING DI INDUSTRI PENGGEMUKAN SAPI
Authors: Fajarika Dian , Gusvita Rinda , Sofriani Novicha
Published: January 2020

Feed laboratory is a facility that guarantees feed quality in the feedlot industry. But the existence of this laboratory has not been fully considered both in terms of facilities and layout that ease the movement of workers. This research aims to analyze machine and raw material properties in the feed laboratory, to find total closeness rating between facilities according the need and  designing the layout of facilities in the laboratory that can streamline the material flow. The problem is how to design facility layout in feed laboratory which has different tool and machine characteristics in limited space, how to plan material flow that can minimize work flow. The method used is computerized relationship layout planning (CORELAP). The result obtained is the design of the laboratory layout by comparing the optimum distance on the inter-work track. The calculation value from allocation relationship diagram showed the biggest total closseness rating is the testing room. From the calculation of the distance difference layout design, it is known that the second alternative provides a better solution with the largest distance difference of 41.52 for space with condition should be close and the distance difference of -31.21 for space with the condition should not be close.

Keyword: feed laboratory layout, feedlot industry, computherized relationship layout planning
Numerical Investigation of Electrospray Working Performance on Ethanol
Authors: Refino Andam , Yudistira Hadi Teguh , Nugroho Denny H. T. , Puspitarum Deska L.
Published: January 2020

Electrospray as an alternative method to fabricate thin film is studied. High voltage is required by the electrospray system. The requirement of high voltage is different for various liquid depending on the surface tension property. Ethanol was used to resemble the solvent used in thin film deposition. From the experimental work, jetting performance did not occur despite of the high applied voltage which is around 1 KV. In this work, numerical calculation is carried out to find the reason behind of unsuccessful jetting at 1 KV applied voltage. The percentage of Rayleigh limit is around 0.4. Electrospray performance at walking distance 5 mm using ethanol is predicted to be stable when the applied high voltage is approximately 1.1 KV. The numerical investigation indicates that the jetting performance will occur if the applied voltage is more than 1.1 KV.
Perancangan Sistem Pemanenan Energi Surya Terintegrasi Kaca Bangunan, Studi Kasus: Gedung Bandar Lampung
Authors: Friansa Koko , Asri Rishal , Rozana Monna , Soelami FX Nugroho
Published: January 2020

In this paper, design of solar energy harvesting system which integrated in building glass window was proposed. The location as the design reference is Bandar Lampung Building. Bandar Lampung Building uses 90% of the glass on the outside walls building with facing the sunrise and sunset. The design solar energy harvesting system was consisted of solar glass and electronic power system. Solar glass using several mini PV affixed on the glass with space in between, so partially of sunlight pass into the room. The solar energy harvesting system used for DC house network and not connected to the grid system. The solar energy harvesting is also equipped with power electronic system such as MPPT, lead acid battery, and DC-DC converter. The design of solar energy harvesting system is using calculative method based on secondary data several references for this case. Area of the solar glass reaches 16.32 m2 for 1 office room scale. The ratio between PV and room glass about 0.35. The power average of the solar glass on the glass building with facing to the sunrise is about 74.35 W, and then the average power of the solar glass with facing to the sunlight about 161.32W.
An Application of the Browder-Minty Theorem in a Problem of Partial Differential Equations
Authors: Fortunato Westher Manricky Bernardes , Santos Dassael Fabricio dos Reis
Published: January 2020

In this work, we will show existence of weak solution for a semilinear elliptic problem using as main tool the Browder-Minty Theorem. First, we will make a brief introduction about basic theory of the Sobolev Spaces to support our study and provide sufficient tools for the development of our work. Then we will take a quick approach on the Browder-Minty Theorem and use this result to show the existence of at least one weak solution to an elliptic Partial Differential Equations (PDE) problem whose nonlinearity, denoted by f, is a known function. For this, in addition to the already mentioned results, we will also use as study tools: Embedding Sobolev Theorems, Linear Continuous Operators Theory, Poincaré Inequality and Hölder Inequality.
Sentiment Neural Network(SNN)-for Knowledge based Recommender System
Authors:   Assistant Professor, Thiru A. Govindasamy Govt Arts College, Tindivanam, Tamilnadu, India., Priya* S. Prasanna , Karthikeyan Dr. M. ,   Assistant Professor, Department of Computer and Information Science, Faculty of Science, Annamalai University, Annamalainagar, Tamilnadu, India.
Published: January 2020

Recommendation systems play a crucial role in e-commerce by recommending products that suit for the consumers also providing exact information to users. For the past few decades, researchers used many machine learning techniques on recommender system. In recommender system ML based algorithms providing a better detection of user preferences, item features and users-items. In this way deep learning play an increasingly vital role in review recommender systems, since they used a bunch of discrete values for review. However, a problem arises regarding that feedbacks. Discrete values are those which are hard to describe user’s interests. This problem makes it impossible to specifically model user’s choice for recommendation. Purpose of this paper is to introduce a new novel SNN (Sentiment Neural Network) framework for effective recommendation system. SNN frameworks consider two phases. In first phase of SNN framework, this work introduces NLP techniques for converting unstructured data into structured data. This technique includes pre-processing data, feature extraction, word scoring, polarity classification and sentiment analysis. The second phase of SNN framework used for verifying the polarity classes with the real world examples. SNN structures are not only among the best models with reference to prediction accuracy, they also consider the weighting factor on classifier to reduce the training time. A novel Sentiment Neural Network along with knowledge recommender system is suggested for review features extraction, text classification and analyzing review features in the various domains.
Impact of Information and Communication Technology (ICT) on Employability
Authors:   Research Scholar, KIIT University, Bhubaneswar, India., Mohapatra* Monalisa , Das Dr. Srikanta Charana ,   Associate Professor, Supervisor, KIIT university, Bhubaneswar, India., Patnaik Dr. B.C.M. ,   Professor, KIIT University, Bhubaneswar, India., Satpathy Dr. Ipseeta ,   Sr. Professor, KIIT University, Bhubaneswar, India., Das Snehalata ,   Research Scholar, GIET University, Gunupur, India.
Published: January 2020

Technical education becomes the need of the hour as organizations are looking for employees who are technically sound and has the capacity to accommodate themselves in any kind of changing business environment. Flexibility comes first followed by the knowledge and expertise. There is need for educational sector reform to address the gap between existing employability skills and skill levels at entry level job. Most of the literatures observed the gap that exists in the present scenario. There is a specific need from the employer that they are looking for people who do not have basic skills but a diversity of knowledge that helps them to achieve business optimization. The present paper is an effort to understand the importance of ICT and employability. This paper is a kind of review and the objective of the paper is to understand the role of ICT in employability and to undertake an intensive empirical study based on the various research gaps identified from such reviews. Only secondary data included, for which the information collected by visiting various libraries and with the help of online journals for this paper. The present study will definitely give new dimension to all existing literatures.