bluuebunny/crossref_metadata_2025 huggingface dataset:
Adipose tissue NAD
+
biosynthesis is required for regulating adaptive thermogenesis and whole-body energy homeostasis in mice
Authors: Yamaguchi Shintaro , Franczyk Michael P. , Chondronikola Maria , Qi Nathan , Gunawardana Subhadra C. , Stromsdorfer Kelly L. , Porter Lane C. , Wozniak David F. , Sasaki Yo , Rensing Nicholas , Wong Michael , Piston David W. , Klein Samuel , Yoshino Jun
Published: November 2019

Nicotinamide adenine dinucleotide (NAD
+
) is a critical coenzyme for cellular energy metabolism. The aim of the present study was to determine the importance of brown and white adipose tissue (BAT and WAT) NAD
+
metabolism in regulating whole-body thermogenesis and energy metabolism. Accordingly, we generated and analyzed adipocyte-specific nicotinamide phosphoribosyltransferase (
Nampt
) knockout (ANKO) and brown adipocyte-specific
Nampt
knockout (BANKO) mice because NAMPT is the rate-limiting NAD
+
biosynthetic enzyme. We found ANKO mice, which lack NAMPT in both BAT and WAT, had impaired gene programs involved in thermogenesis and mitochondrial function in BAT and a blunted thermogenic (rectal temperature, BAT temperature, and whole-body oxygen consumption) response to acute cold exposure, prolonged fasting, and administration of β-adrenergic agonists (norepinephrine and CL-316243). In addition, the absence of NAMPT in WAT markedly reduced adrenergic-mediated lipolytic activity, likely through inactivation of the NAD
+
–SIRT1–caveolin-1 axis, which limits an important fuel source fatty acid for BAT thermogenesis. These metabolic abnormalities were rescued by treatment with nicotinamide mononucleotide (NMN), which bypasses the block in NAD
+
synthesis induced by NAMPT deficiency. Although BANKO mice, which lack NAMPT in BAT only, had BAT cellular alterations similar to the ANKO mice, BANKO mice had normal thermogenic and lipolytic responses. We also found
NAMPT
expression in supraclavicular adipose tissue (where human BAT is localized) obtained from human subjects increased during cold exposure, suggesting our finding in rodents could apply to people. These results demonstrate that adipose NAMPT-mediated NAD
+
biosynthesis is essential for regulating adaptive thermogenesis, lipolysis, and whole-body energy metabolism.
Phoamtonic designs yield sizeable 3D photonic band gaps
Authors: Klatt Michael A. , Steinhardt Paul J. , Torquato Salvatore
Published: November 2019

We show that it is possible to construct foam-based heterostructures with complete photonic band gaps. Three-dimensional foams are promising candidates for the self-organization of large photonic networks with combinations of physical characteristics that may be useful for applications. The largest band gap found is based on 3D Weaire–Phelan foam, a structure that was originally introduced as a solution to the Kelvin problem of finding the 3D tessellation composed of equal-volume cells that has the least surface area. The photonic band gap has a maximal size of 16.9% (at a volume fraction of 21.6% for a dielectric contrast

ε
=
13

) and a high degree of isotropy, properties that are advantageous in designing photonic waveguides and circuits. We also present results for 2 other foam-based heterostructures based on Kelvin and C15 foams that have somewhat smaller but still significant band gaps.
Identification of U11snRNA as an endogenous agonist of TLR7-mediated immune pathogenesis
Authors: Negishi Hideo , Endo Nobuyasu , Nakajima Yuki , Nishiyama Tatsuaki , Tabunoki Yuichiro , Nishio Junko , Koshiba Ryuji , Matsuda Atsushi , Matsuki Kosuke , Okamura Tomohisa , Negishi-Koga Takako , Ichinohe Takeshi , Takemura Shunji , Ishiwata Hiroyuki , Iemura Shun-ichiro , Natsume Tohru , Abe Takaya , Kiyonari Hiroshi , Doi Takeshi , Hangai Sho , Yanai Hideyuki , Fujio Keishi , Yamamoto Kazuhiko , Taniguchi Tadatsugu
Published: November 2019

The activation of innate immune receptors by pathogen-associated molecular patterns (PAMPs) is central to host defense against infections. On the other hand, these receptors are also activated by immunogenic damage-associated molecular patterns (DAMPs), typically released from dying cells, and the activation can evoke chronic inflammatory or autoimmune disorders. One of the best known receptors involved in the immune pathogenesis is Toll-like receptor 7 (TLR7), which recognizes RNA with single-stranded structure. However, the causative DAMP RNA(s) in the pathogenesis has yet to be identified. Here, we first developed a chemical compound, termed KN69, that suppresses autoimmunity in several established mouse models. A subsequent search for KN69-binding partners led to the identification of U11 small nuclear RNA (U11snRNA) as a candidate DAMP RNA involved in TLR7-induced autoimmunity. We then showed that U11snRNA robustly activated the TLR7 pathway in vitro and induced arthritis disease in vivo. We also found a correlation between high serum level of U11snRNA and autoimmune diseases in human subjects and established mouse models. Finally, by revealing the structural basis for U11snRNA’s ability to activate TLR7, we developed more potent TLR7 agonists and TLR7 antagonists, which may offer new therapeutic approaches for autoimmunity or other immune-driven diseases. Thus, our study has revealed a hitherto unknown immune function of U11snRNA, providing insight into TLR7-mediated autoimmunity and its potential for further therapeutic applications.
Orconstructions
Authors: Ariel Mira
Published: November 2019

Utterance interpretation involves semantically specified codes and context-based pragmatic inferences, which complement each other. The goal of this paper is to demonstrate the very complex relation between a subset of codes, Goldbergian constructions, specifically ones centering around ‘alternativity’, and pragmatic inferences. I analyze a variety oforconstructions and sub-constructions, emphasizing not only the role of coded constructions on the one hand, and of inferences, on the other hand, but also of cues, namely, linguistic forms that bias towards a specific interpretation, although they do not encode that interpretation. The synchronic variability with respect to the relative contribution of code, inference and cue reflects a grammaticization cycle whereby codes (here constructions) are routinely enriched by inferences, often supported by cues, which in turn may evolve into new codes (here sub-constructions).
Regulation of MT dynamics via direct binding of an Abl family kinase
Authors: Hu Yuhan , Lyu Wanqing , Lowery Laura Anne , Koleske Anthony J.
Published: November 2019

Abl family kinases are essential regulators of cell shape and movement. Genetic studies revealed functional interactions between Abl kinases and microtubules (MTs), but the mechanism by which Abl family kinases regulate MTs remains unclear. Here, we report that Abl2 directly binds to MTs and regulates MT behaviors. Abl2 uses its C-terminal half to bind MTs, an interaction mediated in part through electrostatic binding to tubulin C-terminal tails. Using purified proteins, we found that Abl2 binds growing MTs and promotes MT polymerization and stability. In cells, knockout of Abl2 significantly impairs MT growth, and this defect can be rescued via reexpression of Abl2. Stable reexpression of an Abl2 fragment containing the MT-binding domain alone was sufficient to restore MT growth at the cell edge. These results show Abl2 uses its C-terminal half to bind MTs and directly regulate MT dynamics.
Two-echelon Inventory Deploy In Advance Selling
Authors: Dong Ya , Zhao Qilan
Published: November 2019

Advance selling has been chosen and accepted by more and more e-commerce companies and consumers, but it’s common for consumers to cancel orders in advance. Compared to spot sales, advance selling owns a longer order delivery time. The purpose of inventory allocation is to meet the economic needs and time preferences of consumers in different situations, to maximize profits and enhance the competitiveness of e-commerce companies. This dissertation dissects the consumer demand in terms of consumer utility and Regret Theory, and it dives into consumer time satisfaction in combination with the delivery time of orders and the expected delivery time of consumers. The dissertation builds a two-echelon inventory allocation model for inventory distribution. By analyzing the model and the example, the following conclusions can be drawn: inventory downward of e-commerce enterprise can significantly improve consumer time satisfaction. The greater inventory-sink of each terminal distribution station, the more satisfied consumers are. Meanwhile, inventory downward cannot be improved by continuing to increase its amount when the time satisfaction reaches a certain level. E-commerce enterprises should adopt different inventory allocation schemes according to diverse purposes.
Persistence and almost periodic problems for Non-autonomous predator system with generalized functional response functions
Authors: Huang Ruiping , Qi Xinshe , Deng Lei , Hao Wenhui
Published: November 2019

The classical functional response function is generalized to a generalized functional response function for a three-group mixed non-autonomous predator system with both predator and competitive relationships. Through the constructor and the qualitative knowledge of ordinary differential equations, this paper studies the continuity and global asymptotic stability of the system and further discusses the existence and stability of the positive almost periodic solution of the system, and obtains sufficient conditions for the existence of unique, globally asymptotically stable positive almost periodic solutions of the system, and the existing conclusions has been extended to a large extent.
The influence of the number of rib columns on the Compressive strength of multi-rib composite wall
Authors: Gu Junbin , Han xueli
Published: November 2019

Based on the mechanical characteristics of Multi-ribbed composite wallboard, the computing model of different number rib column are established by ANSYS command flow segmented modeling methods. The model are progressively applied vertical load, horizontal and vertical interaction load, then the stress, strain and displacement of structure under the corresponding loads were calculated. Further analysis on the mechanical properties that affect of rib column number to multi-ribbed composite wallboard. Calculated the stress of multi-ribbed composite wallboard under different rib columns number, and analyze its working mechanism. Combined with displacement, stress and strain rule can be found: With the increase number of the rib column, displacement, stress and strain of structural model are gradually decreasing trend. And with the impact of rib columns number on the average size of ribs is gradually reduced. The displacement, stress and strain decreasing trend gradually slowing down. Combined with the actual construction environment and economic considerations can provide theoretical support for the rib column design of the real case structure.
Single Underwater Image Enhancement Based On UCIQE
Authors: Ao Jun , Zhang Mingming , Ma Chunbo
Published: November 2019

In order to deal with the problems of low contrast and color distortion of underwater images, a single underwater image enhancement method based on UCIQE is designed in this paper. It estimates background light intensity by a quad-tree search algorithm and divides the image into many blocks based on the assumption that the transmittance of local blocks is equal. The objective function of each block is composed of UCIQE and the information loss function, and the transmittance is obtained at maximum value of the objective function. The global optimization of the overall transmittance image is carried out by using the guided filter. Experimental results demonstrate that this method can effectively solve the problem of color deviation and blur of underwater degraded images.
Research on LAN Performance Evaluation Based on Fuzzy Comprehensive Evaluation Method
Authors: Lin Yiyong , Lin Lei
Published: November 2019

A LAN performance evaluation method is proposed based on fuzzy comprehensive evaluation method for the shortcomings of LAN in network performance evaluation on this paper. The basic principles, steps and advantages of the fuzzy comprehensive evaluation method are briefly analyzed. The key parameters such as the selection of technical parameters of the LAN, the determination of the evaluation weight coefficient, and the formulation of evaluation criteria are analyzed in-depth. The membership function is constructed. The simulation test was carried out by applying the fuzzy comprehensive evaluation method, and the correct rate was 98.3%. An objective and fair evaluation of the performance of the local area network is achieved. It provides a theoretical basis for accurately grasping the health status of the local area network.
Analysis of CGF’s Behavioral Simulation Based on Motives
Authors: Wen Chuanhua , Zhang Guoning , Bai Chengsen , Zhu Jiang , Shen Shoulin
Published: November 2019

In this paper, we analysed the Agent’s behavioral simulation based on motives. In Army Combat Complex System, the motives of agent can affect the behaviours of CGF (Computer Generated Forces) obviously. In this paper, we did the experiment that how the different motives effect on the CGF. The conclusion is that different motives settings will get different effect. In conditions of some urgency task, such as in offensive warfare, we may choose the Motives Settingl. The Motives setting2 may be used in the other conditions, such as in defensive warfare.
Research on Young Teachers’ Planning and Teaching Ability Improvement in Independent Colleges
Authors: Wang Tian , Lin Jianbang
Published: November 2019

Frequent flow of young teachers in independent colleges is a key factor restricting their rapid development. Moreover, the teaching ability of teachers in independent colleges is related to teaching quality and personnel training. Scientific and reasonable evaluation index of teaching ability is the key to guarantee teaching quality, and is also an effective way to train and build young teachers. The development of independent colleges is unique, and young teachers also have their own characteristics of the times. This paper will put forward guiding suggestions from the perspective of young teachers’ planning and the improvement of young teachers’ teaching ability to help the new development of independent colleges.
Analysis and Implications of Travel Experience and Perception in Border Ethnic Areas Based on Online Text Mining——A Case Study of Xishuangbanna in Yunnan Province
Authors: Jianlei Han , Qingzhong Ming , Changwen Xie , Pengfei Shi , Xiaotong Wu , Keying Yin
Published: November 2019

The virtual online community has become an important platform for tourists to share their experience and perception of the tourist spots. Due to the originality without artistic processing, the content generated by internet users makes the information relatively more authentic and trustworthy. By taking Xishuangbanna as a typical area of border ethnic areas for case studies, the paper crawls tourists comments from Ctrip.com, through text mining, and quantitatively analyzes the high-frequency words regarding tourists’ experience and their perception in Xishuangbanna, covering such aspects as semantics, time series, value dimension, multi-dimensional scale, in order to understand the travel experience demand and market development trend in border ethnic areas. It is found that tourists have a relatively good perception of their travel experience in Xishuangbanna, and the overall evaluation of travel experience and perception is mainly positive; the product perception diversity is obvious; there are significant differences in various types of tourism elements perception, and tourists have formed clear and typical perception groups in terms of their travel experience in Xishuangbanna. Accordingly, this paper suggests that three ‘trump cards’ should be played for the future development of tourism in Xishuangbanna. Specifically, consumers for night tourism should be nurtured. The tourism elements system should be optimized, and the quality of tourism service facilities be improved. Meanwhile, market supervision should be strengthened and the level of travelling convenience be enhanced so as to optimize the tourists’ experience and perception of border tourism.
Partially connected hybrid precoding design for millimeter wave MIMO systems
Authors: Zheng Xinglin , Wang Yue , Liu Wei
Published: November 2019

To solve the problem of spectral efficiency and energy efficiency of hybrid precoding in millimeter-wave communication system. This paper considers alternately using the minimization framework to increase beamforming gain. However, such framework because the radio frequency domain phase modulation network are using phase shifters, which result in non-convex constraints, and known solutions suffer from high computational complexity. Before using the alternate minimization architecture, it is proved that the phase angle of the ordered right singular vector of the channel matrix can be used to initialize the analog precoder, and hence, the complicated optimization procedures used to search the near-optimum analog precoding matrix can be avoided. In addition, the antenna array response vectors at the transmitter are not required. The simulation results show that the performance of the proposed algorithm is better than the traditional partial-connected algorithm and the complexity is lower, especially in the case of high signal-to-noise ratio.
RETRACTED: Influencing Factors of Agricultural Insurance Demand under the Background of Big Data
Authors: Yuping Wang
Published: November 2019

The development status of agricultural insurance in China, the overall coverage of crop insurance and forest insurance is still less than 60%. Except for wheat, rice and corn crops, the coverage of other crops is relatively low. The coverage of aquaculture insurance is low, especially the penetration rate of important animal products such as fat pigs and dairy cows is less than 25%. Emerging products such as weather index insurance, price index insurance and facility agricultural insurance are still in the initial stage of exploration. The supply of agricultural products with local, industrial and functional characteristics is insufficient and it is difficult to meet the diversified protection needs. The investment in insurance product development is relatively insufficient, which reflects the insufficient supply of agricultural insurance products and services in China. This paper comprehensively studies and discusses it.
Self-adaptive Stable Grasp of Two-finger End-effector: A Review
Authors: Chen Xiaojing , Zhang Gaofeng , Peng Peicheng , Wang Yuqing
Published: November 2019

There have been growth demands for two-finger end-effector in agricultural and industrial because of the simple structure and control strategy. This paper reviews the human grasp behaviour, design of two-finger end-effectors, and research on self-adaptive stable grasp control. Human grasp behaviors such as grasp pattern and self-adaptive grasp provide useful information for humanoid two-finger end-effector. Most of the two-finger gripper and intelligent grasp strategy are focused on the stable grasp for regular object at present time. The self-adaptive stable grasp strategies of two-finger end-effector are presented by force-closure grasps strategy, contact stability grasp strategy and grasp synthesis strategy. Self-adaptive stable grasp synthesis strategy should consider the influence factor include geometric of contact surface and interaction of center of mass. In addition, the future work on two-finger self-adaptive stable grasp for 3D irregular object and 3D soft object is also reviewed.
An Environmental Cost Value Model Based on Dynamic Neural Network Prediction
Authors: Tan Yaxin , Zuo Jiankai , Chen Jiatong
Published: November 2019

Ecological environment, which human beings depend on for survival, constantly provides us with various benefits. The exploitation and use of land by human beings will cause damage to the ecological environment. More seriously, the loss caused by environmental damage is often not concluded in the cost. Therefore, it is necessary to establish a complete environmental cost assessment model. By analyzing the value of ecosystem service and combining with previous studies, we proposed a new model—“DIP- PRSC model”—for evaluating the environmental costs of land projects. This model creatively divides environmental costs into fixed costs and floating costs. We use 16 indicators to measure the cost of each part of the model. We applied the model to the construction of the Rondônia highway in the Brazilian to verify the validity of the model, using NAR neural network to predict the cost of each part of the DIP model, and put the predicted cost into the DIP model to calculate the total cost. The results show that the environmental cost of the land project will continue to rise in the next eight years.
A YOLOv3-based non-helmet-use detection for seafarer safety aboard merchant ships
Authors: Zhong Mingliang , Meng Fei
Published: November 2019

International shipping industry undertaking more than 80% global trade volume, is indispensable to the world’s economy and development. Seafarers, which are an important part of shipping, mainly engage in safe navigation and good maintenance of ships. However, they are prone to expose themselves to occupational accidents and injuries, especially fatal trauma on the head due to non-helmet-use behaviour. Wearing a safety helmet can effectively reduce the risks resulting in head injuries. Despite the vital role of safety helmet, many seafarers tend to take off their helmet because of discomfort caused by weight and high temperature in engine room or deck. To improve the ship’s safe operation and prevent the loss of life at sea, this paper proposed a state-of-the-art method based on YOLOv3 model for automatic and real-time detection of non-helmet-use behaviour. The experimental results showed that the detection method can run real-time under ship’s video surveillance and precisely detect the non-helmet-use behaviour with low miss rate.
Binary semantic Similarity Comparison based on software gene
Authors: Sun Wenjie , Chen Yihang , Shan Zheng , liu Fudong , Wang Qiuna
Published: November 2019

The similarity of binary code is widely used in code copyright protection, vulnerability mining, malicious code analysis and etc. In this paper, we proposed a method for measuring/evaluating the similarity of two binary files based on software genes. Some of Natural language processing methods were introduced into program semantics analysis, including word2vec and doc2vec models to generate assembly instruction embeddings and gene semantic embeddings. Then the longest common subsequence method was applied to evaluate the software similarity. Experiments show that our method can effectively evaluate the similarity of binary files.
Vector extrapolation enhanced RRGMRES for linear discrete ill-posed problems
Authors: Jing Qiu , Zhengsheng Wang
Published: November 2019

The solution process of linear discrete ill-posed problems often requires regularization of the original problem. RRGMRES, the value-domain-restricted GMRES method, is a kind of iterative regularization method. The number of iteration can be thought of as a regularization parameter that affects the quality of the computed approximate solution. For improving its semi-convergence, in this paper, we describes how vector extrapolation methods can be combined with RRGMRES, and illustrates that the determination of the proper value of the number of iteration is less critical for the combined extrapolation-RRGMRES method than for RRGMRES alone. The numerical performance of the combined method suggests a new way to determine the number of iteration. Numerical experiments and comparisons are given to illustrate the efficiency of the results in this paper.
The mechanism of nitric oxide release through gold nanoparticles-mediated catalytic decomposition of S-nitrosothiols by density functional theory
Authors: Zhai Jinhui , Wang Jinlong
Published: November 2019

First principles calculations were performed to study the mechanism of nitric oxide release through the catalytic decomposition of S-nitrosothiols mediated by gold nanoparticles within the density functional theory. The gold nanoparticles and S-nitrosothiols were modeled by Au38 cluster and SPEN compound, respectively. The results reveals a two-step reaction process. The primary step is SPEN adsorbs on Au38 cluster surface by S atom to form the intermediate. In the next step, NO dissociates from SPEN under the catalysis of Au38 cluster and thereafter a specie of Au-thiolate complex was produced as the product. Furthermore, we found that the overall catalytic reaction is exothermic with a small energy barrier, which confirms the reaction process is kinetically feasible.
Research and Implementation of Channel Estimation Algorithm Based on Wideband Micro-power System
Authors: Wang Haolin , Liu Shaohua
Published: November 2019

Channel estimation and equalization are the keys to realize wideband micro-power wireless communication system. In this paper, the channel estimation algorithm is improved according to the frame structure characteristics of wideband micro-power. Compared with the original algorithm, new algorithm is more suitable for this system and its performance is improved by 0.2dB. By establishing the system simulation model in MATLAB environment, the corresponding channel estimation algorithm is used to simulate and compare. The performance of the improved algorithm is verified and the improved algorithm is implemented on the FPGA platform. In the process of hardware implementation, formula transformation is used to reduce the use of multipliers in complex multiplication and reduce resource consumption. The results of ISE Design Suite 14.7 synthesis and Modelsim simulation show that the algorithm has low algorithm complexity, small hardware resources, and the estimation accuracy meets the expectations and meets the application requirements.
Latency aware online tasks scheduling policy for edge computing system
Authors: Fang Juan , Li Kai , Ma Aonan
Published: November 2019

With the development of the cloud computing, more and more devices will be connected to the network, and bring enormous load to current network. Currently, the data of devices are processed in the cloud, which are normally located far away from the devices. Therefore, network bandwidth and communication latency become serious bottlenecks. Edge computing, with its advantage that offers cloud-like services at the edge of network and less latency, has become a new direction of the current Internet of Things network transmission architecture. How to schedule the tasks between the edge servers and the central cloud server so that the task response time can be minimized becomes the critical problem in edge-cloud system. In this paper, we propose a general algorithm to resolve this problem. In our model, the edge servers based on the aware of tasks expected completion time to decide sending the tasks to the other edge servers or cloud when it is fully loaded to make the most use of the edge servers in the same area. We evaluate our proposed policy in iFogSim toolkit. Results of the simulation demonstrate that our strategy improves significantly in reducing the latency of application and network usage.
A Time Domain Estimation Algorithm for Speech Signal Pitch Period
Authors: Wu Shuxing , Li Tiansong , Zhang Xiuqin
Published: November 2019

In speech recognition and speech synthesis, accurate estimation of the pitch period is an important part of speech processing. The traditional direct peak estimation method and the autocorrelation function method are both effective time domain estimation algorithms. The autocorrelation method is a pitch period estimation algorithm suitable for low SNR. Both algorithms need to get accurate peak position estimation. In this paper, a multi-line cut method which is a method for judging the position of the peak point is proposed. The multi-line cut method is used to intercept the sampled data of the waveform by using multiple cut lines. The median value is calculated by the starting and ending points of the cut line position, and the peak position is indirectly evaluated. By minimizing the impact of interference on the peak estimate, the likelihood of falling into local extreme points is reduced, therefore a more accurate peak point estimate than the direct search for peak points can be obtained. The simulation results show that compared with the traditional direct peak estimation method, the performance of peak estimation by the multi-line cut method can be greatly improved, and the multi-line cut method can be used to estimate the peak value in the autocorrelation method, and also achieve a certain performance improvement. In addition, the number of cut lines is directly related to performance, and the more the number is, the better the performance is. The complexity of this method is not high and easy to implement.
Garden plant landscape evaluation method based on adaptive algorithm and its application
Authors: jiefei Nai , tieming Ma , yuan Fang
Published: November 2019

Plant planting design in landscape plant landscape is not only an effective environmental protection measure, but also has a certain aesthetic appearance. In the process of garden landscape design, the designer has paid attention to the original growth form of the plant and will not deliberately transform it. However, in the garden design, there are many unreasonable landscape designs that destroy the original national characteristics of the city. These garden landscape designs do not really understand their concepts, ignoring the adaptability of plant design to the city. Therefore, it is necessary to conduct a detailed analysis of the spatial image and structure of the landscape of landscape plants. This paper combines quantitative evaluation with qualitative evaluation through adaptive algorithm, which has certain guiding significance for the construction of landscape plant landscape, and provides a method for garden plant landscape evaluation.
Applying genetic algorithm to university classroom arrangement problem
Authors: Wang Bei , Geng Yuejie , Zhang Zhigang
Published: November 2019

University classroom arrangement problem is considered as a sub-question of the university timetabling problem, which has been proved to be an NP-hard problem in combinatorial optimization field. In this paper, we firstly analyzed the relevant factors and set up a model of the problem. Then the genetic algorithm was applied to optimize the arrangement of classroom considering the moving distance of students between courses, which was caused by room changing. The experimental results have shown that the genetic algorithm could generate feasible solutions and optimize the classroom arrangement.
An improved evolutionary multi-objective optimization algorithm based on decomposition
Authors: Han Jiaxin , He Manman , Cuan Ying
Published: November 2019

Multi-objective optimization (MOP) is a hot and difficult problem in the field of industrial production and scientific research, involving simultaneous optimization of multiple objectives. In this paper, an improved decomposition-based multi-objective evolutionary algorithm is proposed to solve MOP. Firstly, the Latin hypercube sampling method is used to generate the initial population in order to improve the diversity of the initial population and the probability of convergence to the global optimal solution. Secondly, the adaptive differential crossover operator is used to adjust the parameter settings adaptively for different problems, including the differential proportionality factor and crossover probability, so as to improve the performance of the algorithm. Finally, the reference point is set to coordinate origin, which can pull the population back to the real front faster and accelerate the convergence speed of the population. In a group of benchmark problems, ZDT and DTLZ test problems, the algorithm is widely compared with four most advanced algorithms. The experimental results show that the algorithm has better ability to solve MOP problems.
Distributed Circuit Simulation using Combined Simulation Method
Authors: Chen Chen-Jung , Yang Tai-Ning , Lee Chih-Jen , Sun Jen-Dong , Hsu Sheng-Hsuan
Published: November 2019

In this paper, we describe methods to utilize the multi-core CPU as well as computers connected by internet to perform large-scale MOSFET circuit simulations. That is, both distributed and parallel computing are utilized to do the simulation. Parallel Newton Relaxation and Combining Simulation Method (CSM) are our numerical tools to accomplish parallel and distributed computing respectively. We note that both coursed and fine grained parallel computing strategies are used in this paper. All proposed methods have been implemented and tested. Experimental results justify pleasing effects of all proposed methods.
Coupled-Fed Antenna with Parasitic Ground Structure for Octa-band WWAN/LTE Narrow-Frame Mobile Phone
Authors: Song Yitao , Zhu Mingmin , Jin Xinghui , Yu Guoliang , Zhou Haomiao
Published: November 2019

In this work, an octa-band narrow-frame mobile phone antenna with the size of 80×7×5.5 mm3 is proposed and studied. The designed antenna adopts coupled-fed technology, which is mainly composed of an F-shaped feeding strip, a coupled bending shorted strip, an upright copper plate and a parasitic ground structure. By introducing the F-shaped feeding strip, the coupled bending shorted strip and the upright copper plate, the working frequency of the antenna can cover the lower band (LTE700/GSM850/GSM900) and part of the upper band. Then, with further use of the parasitic ground structure, the upper band (DCS1800/PCS1900/UMTS2100/LTE2300/LTE2500) can be successfully covered in the proposed antenna. Moreover, in this antenna the non-ground portion height is only 7 mm, showing a fully coverage of 2G/3G/4G operating bands without any matching circuit, and great potential for applications in mobile wireless communication systems. In addition, a prototype of the proposed antenna is fabricated and characterized. From the experimental results, the measured -6 dB impedance bandwidths of the antenna at the lower and upper bands are 305 MHz (660-965 MHz) and 1290 MHz (1630-2920 MHz), respectively. Meanwhile, this antenna shows good radiation characteristics in the operating bands.
Operational Flexibility Evaluation of Distribution System with High-penetration Distributed Generation
Authors: Yanfeng Xia , Li Lu , Yunqiao Yan , Rui Hao , Jun Lu
Published: November 2019

Considering the uncertainty caused by the integration of high-permeability distributed generation into the distribution system, it is necessary to evaluate and enhance the operational flexibility of the distribution system. Firstly, the connotation and characteristics of operational flexibility are introduced, and the relevant factors affecting the operational flexibility are analyzed. Considering the probability of the load scenario, the quantitative operational flexibility evaluation index is proposed. Finally, using IEEE 33 node distribution system to prove operational flexibility evaluation index is reasonable and the role of energy storage devices in improving the operational flexibility.
Secure Edge Electricity Data Aggregation Scheme for Low Voltage Transformer Areas
Authors: Wang Zixiang , Liu Zhoubin , Zhou Ziqiang , Han Jiajia
Published: November 2019

The smart grid system is the physical power infrastructure integrated with many intelligent electronic devices. It supports the two-way flow of energy as well as information. The smart meters are important intelligent devices, which account for the largest portion among all terminals in the smart grid. In many application scenarios, the master station need high frequency total electricity consumption information of each low voltage transformer area. It requires frequent data interchange between smart meters and master station. However, the electric communication network cannot provide enough bandwidth resource to support such high frequency data interchange. Edge Computing Nodes (ECNs), which can be deployed at different low voltage transformer areas, can achieve the electricity data aggregation at the edge side. The communication resource can be saved since only aggregated electricity data will be uploaded to the master station. Traditional data aggregation scheme requires the plaintext from smart meters. From the viewpoint of security and privacy-preserving, it is not safe to implement the data decryption operation at edge side. Therefore, the data aggregation scheme with ciphertext is required at the edge side. In this paper, we propose a secure edge electricity data aggregation scheme based on homomorphic public key encryption techniques. The ECNs will implement the electricity data aggregation with the ciphertext from different smart meters, and the aggregated data will be transmitted to the master station through communication network. The mater station can use its public key to obtain the total electricity consumption of each low voltage transformer area.
Research on 3D measurement of underground displacement based on tipping capacitance
Authors: Li Zhiwen , Li Qing , Shi Ge
Published: November 2019

At present,there are many research methods for underground displacement measurement at home and abroad,such as borehole inclinometer technology,TDR technology, multi-point displacement meter,etc.,but none of them can truly realize the three-dimensional measurement of underground displacement.In view of this,the author has designed an experimental device of underground displacement three-dimensional measurement method based on twitch capacitor.The device is mainly composed of a twitch type capacitance device, a mutual inductance device,an inclination angle and an azimuth angle measuring sensor device, which realizes the measurement of the size and angle of the moving position after the device moves,obtains data through an STM32 singlechip,and transmits the measured data to an upper computer through a 485 bus,realization remote control and real-time underground displacement three-dimensional monitoring.
Research on K nearest neighbor identification of hand-drawn circuit diagram
Authors: Huoming Zhang , Lixing Shao
Published: November 2019

Aiming at the problem of accurately identifying each hand-painted electrical component in the hand-drawn circuit diagram, this paper proposes a region segmentation based on pixel number distribution, and a hand-painted electrical component recognition method based on KNN algorithm, the aim is to form a hand-drawn sketch recognition algorithm with better recognition indicators to improve the accuracy of recognition. In this paper, Python’s graphic pixilation module is used as a pixel segmentation tool. Based on 35 types of standard electrical components, the database is established. The Euclidean distance and KNN algorithm are used to obtain the corresponding classification and output recognition results. By comparing with other methods, the better identification indicators achieved by the experiment verify the effectiveness of the method.
Authentication of organic Lampung robusta ground roasted coffee by UV-visible spectroscopy and PLS-DA method
Authors: Yulia M , Suhandy D
Published: November 2019

In this research, a potential application of UV-visible (UV-Vis) spectroscopy combined with partial least squares-discriminant analysis (PLS-DA) method to discriminate Lampung robusta coffee with different fertilizer treatment was evaluated. The fully red ripened coffee beans were selectively harvested by hand from coffee plantation located in Lampung Barat of Lampung province from two different fertilizer treatments: chemically fertilized and organically fertilized. A number of 200 ground roasted coffee samples of each treatment (1 gram of each samples) was used as samples, respectively. The all coffee samples were extracted using hot distilled water. The aqueous coffee samples were pipetted into 10 mm of cuvette and the spectral data was obtained using a UV-Vis spectrometer in the range of 190-1100 nm. Principal component analysis (PCA) and PLS-DA method was used as unsupervised and supervised classification methods to discriminate the organic and non-organic coffee. The results showed that using the first two principal components (PCs), a clear separation between organic and non-organic coffee samples was achieved using modified spectral data in the range of 230-450 nm. The classification of organic and non-organic coffee using PLS-DA method resulted in high accuracy both for calibration and prediction steps. The overall result showed that UV-visible spectroscopy combined with PLS-DA method could be used as a low-cost, relative fast and green method to discriminate between organic and non-organic Lampung robusta ground roasted coffee.
Isolation and cloning of Rv3204 of Mycobacterium tuberculosis to Escherichia coli BL21 as vaccines tuberculosis : A preliminary Study
Authors: Agus R , Hidayah N , Sjafaraenan
Published: November 2019

Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb). TB prevention is done through vaccination using the Bacille Calmette-Guerin (BCG) vaccine. There are weaknesses in this vaccine, so research is still needed in the search for specific antigens. One potential is the Rv3204 gene that encodes the methylated DNA-protein cycteine methyltransferase protein 11 kDa (MTSP11). This protein is immunogenic because it can produce interferon-γ (IFN-γ). The purpose of this study was to isolate and clone the Rv3204 Mycobacterium tuberculosis into Escherichia coli BL21 as vaccine tuberculosis. The research stage was amplification of Rv3204, ligation to pQE-30 Xa expression vector and transformation to Escherichia coli BL21 host cells on LB medium. Characterization was carried out by PCR analysis to recombinant plasmid isolation. The results showed that Rv3204 encoding MTSP11 was successfully cloned to E. coli BL21 with white colony formation and characterization showed that the band was 306 bp as the Rv3204 gene.
Visible reflectance characteristics of marine debris in the sandy beach
Authors: Faizal A. , Samad W. , Werorilangi S.
Published: November 2019

Marine debris has become a global thread to the coastal and marine areas, and the major causes for the decrease in the quality of aquatic environment. The study was aimed to document the spectral features of several types of marine debris based on criteria and developing spectral libraries which can distinguish between debris and substrate where the marine debris location is found. The marine debris data was collected from the coast of Makassar City, South Sulawesi. The spectral sample was measured using a 4000 A spectroradiometer that works on a wavelength spectrum 340 - 1040 nm. The results showed that the identification of marine debris on the optimal sandy beach can be done at 480-620 nm wavelength.
Isolation and characterization of bacteria from mangrove sediment at coastal area in Pangkep South Sulawesi
Authors: Ambeng  , Zubair H , Oka NP , Tonggiroh A
Published: November 2019

Mangrove ecosystem is an area with high potential of natural resourceswhich nowadaysremains unexplored. One of them is microorganismsthathidden in the depth of the mangrove sediments. Therefore, this study aims to isolate and characterize mangrove’s sediment bacteria from estuary coast of Pangkajene River, South Sulawesi, Indonesia. Sampling activities conducted at 6 stations with 3 different depths, those are 0-15 cm, 15-30 cm and 30-45 cm. Microbiological analysis includes microscopic, biochemical and analysis of the abundance of bacterial colonies using Total Plate Count test.From isolation and characterization, it was obtained 35 bacterial isolates consist of 7 different genus, those are Bacillus, Staphylococcus, Vibrio, Macrococcus, Alteromonas, Escherichia, and Listeria. Furthermore, result fromTotal Plate Counttest obtained variedwith the highest abundance of bacterial colonies was found atthe depth of 30-45 cmwith 9.48 x 104CFU.
The relationship between the length and weight of snail Nerita lineata Gmelin 1791 on environmental factors in the mangrove ecosystem
Authors: Samsi A N , Karim S
Published: November 2019

Nerita lineata snails are found in the mangrove ecosystem. This snail attaches to the roots of mangroves. This study aims to find the relationship between the length and weight of Nerita lineata’s snails to environmental factors. Sampling was carried out using four plots of 0.5m x 0.5m in a 10m x 10m plot. The research station is 3; station A with mangrove age ⩽10 years, station B with mangrove age ⩽20 years, and station C with mangrove age ⩽30 years. Data were analyzed by regression and t-independent test. The length of the snail that is dominant in the mangrove is 22.27 - 25.57 mm and the dominant weight is 4.93 - 6.09 gr. Salinity and pH of seawater significantly affected the length of N. lineata’s snail shell. Total organic matter significantly affected the weight of N. lineata snails. The average length and weight of N. lineata snails at each research station did not differ.
Cultivation of adipose-derived mesenchymal stem cells from Rat Rattus norvegicus by using mechanical + enzymatic method
Authors: Nurpratama L , Sjafaraenan  , Rilianawati
Published: November 2019

Stem cells (stem cells) are the cells that do not have specific functions, can also differentiate into more than one type of cell that build tissues or organs of the body. In order to cultivate the stem cells from the primary tissue properly, it is necessary to optimize stem cells based on previous research methods. The design of this study was to cultivate mesenchymal stem cells from adipose (fat) tissue of Rat Rattus norvegicus by using mechanical + enzymatic method. The qualitative parameters that discussed were the option of handling isolation, time of incubation before cells reached confluence, and the morphology of mesenchymal stem cells obtained in each culture based on visual data using an inverted microscope. The quantitative parameters that analyzed were trypan blue assay and MTT assay. The results showed that the cultivation of mesenchymal stem cells were higher in the mechanical + enzymatic method compared with enzymatic methods. This method had a growth time from day 1 until it reached 80% confluence until day 7 and could be maintained until reached 90% confluence on day 9. Proliferation test by MTT assay showed the average of absorbance value was 0.942 with the cell number was 7.25 × 104 cells/µL. Further research is needed by flowcytometry assay and differentiation of this mesenchymal stem cells into osteocytes, adipocytes and chondrocytes.
Activity And Kinetics of α-Glucosidase Inhibition by Collagen Hydrolysate From Thunnus albacares Bone
Authors: Natsir H , Dali S , Arif A R , Sartika  , Leliani
Published: November 2019

Controlling of postprandial hyperglycemia using α-glucosidase inhibitors is one of the therapeutic approaches for the treatment of type 2 diabetes. Collagen hydrolysate, as an α-glucosidase inhibitor has not been reported. Therefore, This study intends to evaluate the activity and kinetics of inhibition of collagen hydrolysate against the α-glucosidase enzyme. Collagen hydrolysate was prepared from Thunnus albacares bone enzymatically using bacterial collagenase at hydrolysis times (0; 0.5; 1; 2; 3; 4; 5 and 6 h). The type of inhibition was determined by enzyme kinetics analysis. Collagen hydrolysate obtained at hydrolysis time of 1 h has the highest inhibitory activity of 24.47 %. Based on enzyme kinetics analysis, collagen hydrolysate showed a show a type of competitive inhibition. These results revealed that collagen hydrolysate has the potential as a natural antidiabetic in controlling blood glucose levels in type 2 diabetes.