bluuebunny/crossref_metadata_2025 huggingface dataset:
Approach lean service on halal certification service system using cost integrated value stream mapping
Authors: Shalihin Ahmad , Hidayati Juliza
Published: January 2020

Along with the increasing needs of the community will be halal, kosher certification agencies and the clergy Indonesia is required to be able to do the certification, monitoring and handling of halal products which consist of food, beverages and goods for consumption by the public, especially in this case is the public Moslem. The demand of halal products, especially in the province of north Sumatra is very high and the potential for halal products market as an area with a lot of resources and a high number of applicants who want to get the halal certification of halal assurance of the clergy Indonesia. But in its application, the length of the certification process becomes a major problem because it lost the opportunity to gain new customers. Lean service used to eliminate wasteful activities or no value-added activities of all the halal certification process flow, thereby reducing lead time and activities that do not provide added value. Having obtained the conditions for companies using value stream mapping, classification activity indicates that the Value Added Activity at 18% with the Non-Value Added Activity by 82%. The result of the lengthy process of identifying root causes of the highest certification by using Root Cause Analysis and FMEA found is awaiting action. This study recommends a design of new business processes by reducing from 30 events to 28 events and reduces processing time from 92 days to 36 days.
A method for aseptic culture of bud explants pogestemon cablin benth Var Tapak Tuan, Aceh, Indonesia
Authors: Sufriadi Elly , Aisyah Yuliani , Harahap Fauziah , Fernando Yuliana , Mardina Vivi
Published: January 2020

Pogostemon cablin Benth var Tapak Tuan, Aceh, Indonesia is a plant herb potentially to be developing with culture method. However, culture of this cultivar (stem and leave of bud0 explants sampled from outdoor trees is sometimes challenges due to contamination not overcome by standard surface-sterilization. An Improve method, involving a 5-minute immersion of explants in 5% (v/v) detergent, 1% fungicide and bactericide, 5% NaClO and 0.5% antibioticswhich does not interfere with normal explant and callus development, is described in detail.
Isolation and identification of pathogen fungi in the varieties of local rice, Aceh-Indonesia
Authors: Fitriani  , Mardina Vivi , Fadhliani  , Baiduri Nadia
Published: January 2020

Aceh’s local rice is one of the plasma nutfah’s wealth in Indonesia. However, the availability and awareness of the people in Aceh to utilize the quality seed of Aceh’s rice are still very low due to pathogenic fungi that infected the seeds. The objective of this study is to identify the type of pathogenic fungi that carried out by the seeds of Aceh’s rice. A Completely Randomized Design (CRD) consisting of the four varieties local of Aceh was designed with the parameter including the present pathogens that attack the rice seed and germination. The four varieties Aceh’s seed namely: Sigupai variety (v1), Cantek maneh variety (v2), Cantek kuning variety (v3) dan Room kuning varietiy (v4). Data were analysed using ANOVA at 5% significant level and continued with the DMRT. The Results summarized that the Sigupai variety (v1) is the best low percentage of germination, approximately 45%, followed by room kuning (48.3%), maneh (56.7%), and cantek kuning (58.7%). These were caused by the pathogenic attacks which carried out in the form of Aspergilus sp and Fusarium sp.
Passion fruit agro-industry supply chain performance assessment in North Sumatra
Authors: Kodrat Kimberly Febrina , Sinulingga Sukaria , Napitupulu Humala , Hadiguna Rika Ampuh
Published: January 2020

In the agro-industry sector, supply chain management activities such as the procurement of raw materials, processing, warehousing, distribution, and transportation networks are of utmost importance. Agricultural commodities are perishable, seasonal, varying, and bulky in nature which cause difficulties in its management compared to non-agricultural products. Supply chain performance is an indicator of the success of a company. Therefore its assessment is needed to control and determine the performance feasibility of the company. This study aims at assessing the performance of the passion fruit syrup agro-industry supply chain in North Sumatra. The performance is assessed using SCOR and AHP models. The results show that the three performance assessment matrices with the highest weight are processing costs (0.165), delivery accuracy (0.146), and perfect goods condition (0.122). The supply chain performance was categorized as average (78.69%).
B3-Medical waste management Fas Yankes Bogor district health office in 2018
Authors: Rajagukguk Jenni Ria
Published: January 2020

Health service facility is a device and / or place used to carry out health service efforts in promotive, preventive, curative, and rehabilitative that carried out by the Central Government, Regional Government and / or the community. Based on the regulation of Indonesia Republic Number: 47 of 2016 concerning Health Service Facilities in article 4 that the types of Health Service Facilities as referred to in article 3 (Health Service Facilities provide health services in the form of individual health services; and / or public health services) consist of independent practice sites health workers, public health centers, clinics, hospitals, pharmacies, blood transfusion units, health laboratories, optics, medical services for legal purposes and traditional health care facilities.Likewise, based on PP No.47 of 2016 which is about the implementation of independent practices of health workers and traditional health service facilities. In this case the government gives the widest possible permits to health workers as long as they fulfill the requirements, Government and Private health facilities in Bogor Regency in 2016. It shows that there will be potential pollution of health facilities waste, if it is reviewed according to Minister of Health Regulation 1204 in of 2015, evaluating the condition of B3-Medical waste management from health facilities and providing policy for service health for managers of B3-Medical Waste in Health Facilities. And the research method is a theoretical research method with the aim of knowing and running the management of B3-Medical waste FasYanKes in Bogor. The results achieved are the process of managing B3-Medical waste from in 4 regions 42 Subdistricts and government hospitals and private hospitals, clinics and others more to management in Bogor district basically has the same process that is from the reduction / sorting of medical and non-medical waste, sorting, transporting waste to polling stations, processing and burial / stockpiling are stored at TPS until full, then the final process of solid medical treatment is carried out through combustion using an incinerator and overall the process of Medical-B3 waste management in Fasyankeas in Bogor Regency is not yet in accordance with the provisions, namely Environment and Forestry Candy Number: P.56 / MenLHK-Setjen / 2015, namely following the procedures and technical requirements for the Management of Hazardous and Toxic Waste from Health Care Facilities 2004. The problem is how to manage B3-Medical Waste according to Minister of Environment Regulation No. 56
Analysis of the effect early cluster centre points on the combination of k-means algorithms and sum of squared error on k centroid
Authors: Selvida D , Zarlis M , Situmorang Z
Published: January 2020

K-Means clustering is a clustering algorithm based on a partition with data only entered into one grub K, the algorithm determines the number of grub at the beginning and defines the set of K centroid. The initial determination of the cluster center is very influential on the results of the clustering process in determining the quality of clustering. The results of better clustering are often obtained after several trials. Sum of Squared Error (SSE) is a representation of homogeneity or uniformity within a cluster. In this study, the Sum of Squared Error (SSE) was used as an approach to determine the center point of the initial cluster of the K-Means algorithm. Tests were carried out on 2 datasets and the number of centroids 2,3,4,5,6,7,8, and 9 obtained values of centroids 3 and 4 in iris data had better number of iterations using a combination of K-Means and Sum of Squared Error ( SSE). These results prove that the grouping with the method of determining the cluster center starting with the K-Means algorithm is based on the minimum Sum of Squared Error value that can improve clustering results and increase the value of Sum of Squared Error (SSE), compared to conventional cluster center points.
Comparison of the social network weight measurements
Authors: Nasution Mahyuddin K M , Mohd Noah Shahrul Azman
Published: January 2020

To extract social networks from the information sources, it is necessary to measure the similarities. There are several measurements that can become application to form a social network based on information sources. On the other side, various the information sources with various conditions and are not homogeneous, but it is possible to cluster them into a homogeneous form. However, measurement about it require proof. To produce the proof, a comparison of results from various measurements gives one of the answers.
Detection of tapping via wifi
Authors: Sianipar Baringin , Zarlis Muhammad , Nasution Benny B
Published: January 2020

The need for cheap and efficient communication network makes wireless one that is in demand by many users to the need access information from the internet. Because wireless network has become one of the communication tools that have been used by many people who are mobile, but the techniques used to protect the security of user data is not completely secure. The steps performed in this study, the first is to scan the wireless signals in the study site using Wi-Fi Scanner tools designed by the author using Visual Studio 2013. Then do security testing against wireless network, namely through the process Scan MAC (Media Access Control) SSID (Service Set Identifier), Frequency, and encryption used in access point that the existence of bugs can be known.
Implementation gamification concept on task management system based on web
Authors: Mufaqih Moh Sukron , Kaburuan Emil R. , Wang Gunawan
Published: January 2020

Task management is the process of managing tasks through its life cycle. This involves planning, testing, tracking and reporting. Task management can help achieve individual goals, individual groups collaborate and share knowledge to achieve common goals. [1] Tasks are also distinguished by complexity, from low to high. Task management can form part of project management and process management for efficient workflows within an organization. Project managers who adhere to task-oriented management have a detailed and up-to-date project schedule, and a good team directs members and advances the project. [2] At present, the Task management system is growing along with the rapid advances in technology, so that anyone can access wherever he is. However, the majority of the current Task management system is not able to attract the attention and interest of its users. The concept of gamification will be applied to the ask management system so that work management is more organized, interesting and fun. This gamified system design will use the Marczewski’s Gamification Framework. Framework that has user types with the needs of learning and self-development. Game mechanics in this user types such as levels, challenges, and rewards can support gamified system users in achieving goals. The tests that have been conducted show the success in applying the Marczewski framework to the functional needs of users.
Classification of treatment tuberculosis history based on machine learning techniques
Authors: Darnila Eva , Ula Mutamminul , Mauliza  , Pahendra Iwan , Ermatita
Published: January 2020

An important step in data Tuberculosis analysis is data exploration and representation. Tuberculosis treatment is crucial to protect the patients and it can lead to death in untreated in countries with low income. In this case, we use the machine learning technique by using Decision Tree and Random Forest for classification the tuberculosis to analysis and represented based on the treatment history. We use Tuberculosis dataset which employed from Province Aceh, Indonesia. The result indicated the performance of the designed arrangement was successful and could be used in Tuberculosis treatment analysis based on the histories in Aceh Utara and Lhoksumawe.
Analysis of backpropagation neural neural network algorithm on student ability based cognitive aspects
Authors: Izhari Fahmi , Zarlis Muhammad , Sutarman
Published: January 2020

Back propagation is one of the supervised learning and multi-layered training program and uses errors during the process of changing the weight value in the backward process as well as the forward propagation. In the method for predicting cognitive abilities backpropagation the first step is to set the input neuron number, the number of neurons that are hidden, and the number of output neurons. The number of neurons used in the program is 6 neurons consisting of cognitive criteria, 6 hidden neuron layers, and 2 neuron outputs. The highest level of accuracy is in the binary sigmoid and bipolar sigmoid activation functions at the 64th epoch with the accuracy of each function of 82.93% +/- 37.63% and 85.37% +/- 35.34%. The smallest root mean squared error value was found in binary sigmoid of 0.266 with a tolerance of +/- 0.258 on the 100th epoch with an accuracy of 80.49% while for the sigmoid bipolar activation function the smallest root mean squared error value was obtained at the epoch 500 of 0.282 with tolerance +/- 0.353.
Analysis of classification and Naïve Bayes algorithm k-nearest neighbor in data mining
Authors: Sinaga Lotar Mateus , Sawaluddin  , Suwilo Saib
Published: January 2020

Naïve Bayes is a prediction method that contains a simple probabilistic that is based on the application of the Bayes theorem (Bayes rule) with the assumption that the dependence is strong. K-Nearest Neighbor (K-NN) is a group of instance-based learning, K-NN is also a lazy learning technique by searching groups of k objects in training data that are closest (similar) to objects on new data or testing data. Classification is a technique in Data mining to form a model from a predetermined data set. Data mining techniques are the choices that can be overcome in solving this problem. The results of the two different classification algorithms result in the discovery of better and more efficient algorithms for future use. It is recommended to use different datasets to analyze comparisons of naïve bayes and K-NN algorithms. the writer formulates the problem so that the research becomes more directed. The formulation of the problem in this study is to find the value of accuracy in the Naïve Bayes and KNN algorithms in classifying data.
Performance analysis of combination of fuzzy analytic hierarchy process (FAHP) algorithms with preference ranking organization method for enrichment evaluation algorithm (PROMETHEE II) in the ranking process to determine the increase in employee class
Authors: Irfan Ramadhan M. , Zarlis Muhammad , Nasution Benny Benyamin
Published: January 2020

In this study conducted a Performance Analysis of the Combination of Fuzzy Analytic Hierarchy Process (FAHP) Algorithm with the Preference Ranking Organization Method for Enrichment Evaluation algorithm (PROMETHEE II) in the ranking process to determine the increase in employee groups. From the results of the experiment the Performance Analysis of Fuzzy Analytic Hierarchy Process (FAHP) Algorithm with the Preference Ranking Organization Method for Enrichment Evaluation algorithm (PROMETHEE II) in the ranking process to determine the increase in the employee class obtained by the average employee considered at 62.31%. Seeing the percentage value considered with the Promethee algorithm (45.33%) lower than the Fuzzy AHP algorithm (79.30%), it can be said that the Combination Fuzzy AHP algorithm with Promethee is more selective in the weighting and ranking process.
Reducing link quality impact to encrypted packets by compressing the transmitted data
Authors: Candra Rudi A , Ilham Dirja Nur , Hardisal  , Sipahutar E , Fardiansyah  , Suherman
Published: January 2020

The encrypted traffics are sensitive to losses, while wireless link in prone to error. Although solutions have been proposed in each TCP/IP stack layer, error or losses is always exist. In order to reduce losses of part(s) of encrypted data, bytes or packets should be as many as possible received by the receiver. This paper examines data compression impact in reducing losses of encrypted data. NS-2 simulator is employed to evaluate the study by using the 802.11 radio link. Simulations show that the 3DES decryption rate increases when compression applied. Packet losses can be reduced about 0.32% and 0.54% for TCP and UDP subsequently. The successful encrypted data rises in average 0.3% and 1.3% for both TCP and UDP.
Machine learning approach for lecture’s performance based on supervision and job satisfaction
Authors: Yanny Anda , Sihite Anggiat Hatuaon , Hutabarat Sumiaty Adelina , Siburian Henry Kristian , Parinduri Ikhsan , Hutagalung Siti Nurhabibah
Published: January 2020

The objectives of the research were to discover the correlation of supervision, performance and job satisfaction. Population consisted of 74 correspondents were taken as the sample through cluster random sampling technique. The results of research concluded, there was significantly positive correlation between supervision and job satisfaction as shown by coefficient correlation 3.74.Job satisfaction provided by the institution made Lecturers feel dissatisfied. Job satisfaction is reviewed in terms of income, respect, comfort in teaching. Partially positive and significant supervision of the performance of lecturers at the College of Computer Information Management in Medan Budi Darma. Partially positive and significant satisfaction towards the performance of lecturers of the Computer Information Management College in Medan Budi Darma.
Analysis of algorithm support vector machine learning and k-nearest neighbor in data accuracy
Authors: Nuranisah  , Efendi Syahril , Sihombing Poltak
Published: January 2020

K-Nearest Neighbor is a method of lazy learning method which is a group of instances-based learning. K-NN searches by searching for groups of objects in the training data that are closest to the object on new data or testing data. Support Vector Machine is a learning machine method that works with the aim of finding the best hyperplane that separates two classes in input space. School Achievement is an achievement obtained by serious learning and discipline. The category of outstanding students is to get a good average score and not have an attendance list, especially Absent (A) and a list of late attendance at school can be classified to obtain information on the accuracy of the data being tested. In the testing process both methods obtained good accuracy results between the two methods, namely K-NN obtained an accuracy of 88.52% while SVM is 91.07%.
Comparation of distributed cache and centralized cache on web proxy
Authors: Parulian  , Zarlis Muhammad , BenyaminNasution Benny
Published: January 2020

Caching is an object storage mechanism from a web page that has been accessed. With caching, bandwidth usage will be more efficient and the time to access a web page is getting faster. In caching there are 2 techniques used, namely centralized cache and distributed cache. The purpose of this study is to build a distributed cache system that supports Availability, Reliability, and Scalability. This system will overcome various problems found in the centralized cache, such as single point of failure, unreliable, and not scalable. With the availability of Availability, the system will avoid the problem of single point of failure by implementing a failover mechanism. For the Reliability system will still hold (reliable) accept requests from users, because some proxy servers (parent proxy) will serve requests from users. For Scalability, the system can add proxy servers easily and quickly. To develop the system, the developer takes several approaches such as basic learning about proxy servers and related theories. Next is an analysis to build a system that supports Availability, Reliability, and Scalability. Then the analysis phase is implementedand testing of the system is built. Tests carried out are testing centralized cache systems and testing distributed cache systems. The test results will then be compared to see the performance comparison between centralized cache and distributed cache.
Performance of distance-based k-nearest neighbor classification method using local mean vector and harmonic distance
Authors: Parulian Sinaga Dedi Candro , Tulus  , Sihombing Poltak
Published: January 2020

K-Nearest Neighbor was one of the top ten algorithms data mining in the classification process. The low accuracy results in the K-Nearest Neighbor classification method was caused of this method used the system of majority vote which allowed the selection of outliers as the closest neighbors and in the distance model used as a method of determining similarity between data. In this process it is evident that local mean vector and harmonic distance can improve accuracy, where the highest increase in average accuracy obtained in the set data wine is equal to 6.29% and the highest accuracy increase for LMKNN is obtained in set data glass identification which is 16.18%. Based on the tests that had been conducted on all data sets used, it could be seen that the proposed method was able to provide a better value of accuracy than the value of accuracy produced by traditional K-Nearest Neighbor and LMKNN.
Combination of k-means with naïve bayes classifier in the process of image classification
Authors: Wayahdi M R , Tulus  , Lydia M S
Published: January 2020

In this paper, the data which has been tested is the image of bananas extracted based on the colour characteristics and statistics, namely red, green, blue, hue, saturation, value, average, variance, skewness, kurtosis, and energy. Image data is extracted as much as 60 data for training data, and images for test data as many as 105 data. From the 105 image data has been tested, the number of correct test data is 89 data and the number of incorrect test data is 16 data. The total percentage obtained from the test is 85%. The results obtained are a collection of images based on the level of maturity that is mature, medium, or raw.
Hybrid cryptosystem multi-power RSA with N=PmQ and VMPC
Authors: Erdiansyah U , Nasution MKM , Sawaluddin
Published: January 2020

In digital world, data and information is very valuable and much targeted by unauthorized parties. One way to secure messages is cryptography. Cryptography itself is a branch of science in concealing messages. In further development a hybrid cryptosystem was formed which combines symmetrical and asymmetric cryptography, which in this paper uses VMPC and Multi-Power.. The RSA Multi-Power algorithm is an asymmetric algorithm that is excellent at message encryption but requires a long process time because it uses very complicated calculations. While VMPC has advantages in the process with fast time and relatively small size of ciphertext. Here we have analyzed the performance of various variants of RSA that have been hybridized with VMPC and given the results.
Analysis of performances k-nearest neighbor for regulate learning
Authors: Syuhada Rahmad , Mawengkang Herman , Lydia Maya Silvi
Published: January 2020

Self-regulation is a process to turn and arrange thoughts, behavior and deep emotion of achieving goal, predict the outcome of student learning achievements with the criteria for assessing which cognitive and affective. This can be seen in the students who has not reached minimum criteria 100 % of the final test which received by students. Research now applied performance and looking for value k best with the nearest distance related the ability self-regulation students to learning achievements. Learning outcomes low is something that should not be left, because bad for the future students. Therefore need to followed up in improving self-regulation learning. So, did analysis by using the method k-nearest neighbor.
Optimization of K Value at the K-NN algorithm in clustering using the expectation maximization algorithm
Authors: Lubis Zulkarnain , Sihombing Poltak , Mawengkang Herman
Published: January 2020

Data is the most important thing in a study. The quality of the results of the research will be directly proportional to the quality of the data that will be used in the research is concerned. One of the problems that exist in the data set is the absence of a value in the data for a particular attribute or better known as the missing data. One method that is often used by researchers is the k-nearst Neighbor (KNN). However, this method has several drawbacks, one of which is the selection of appropriate values of k not to degrade the performance of the classification. In the process of calculating the parameters k KNN there that can affect the accuracy of the classification results. To use more than one parameter k then used by majority voting to determine the classification results. If the parameter k in KNN classification used 1 then the result was very tight because it will use the nearest neighbor to the results of the classification. Conversely, if the value of the parameter k used KNN is great then the classification results will blur.This research will optimize the parameters k in the UN tax cluster using the algorithm expectation Maximation(EM). The results of the research in the form of clustering information by using the number of clusters k value optimization and the number of clusters without using the optimization of the value k. Then analysis the results after getting data already clustered. Results from the study showed that k obtained from the optimization algorithm can improve the results of the cluster where the 66% error can be reduced to 64%, yet very close to the best result of the measurement accuracy is tested.
Implementation of the sugeno fuzzy logic method in identifying the quality of coffee beans
Authors: Limbong Tonni , Siagian Parulian , Gultom Tumiur , Simarmata Janner
Published: January 2020

Identifying the quality of coffee beans is quite important to be followed up better because it involves the products to be processed or traded. Because the management is quite a lot and complicated, it is proposed to design an application for identifying the quality of coffee beans. With these demands, it is necessary to measure the quality of coffee beans by using Sugeno’s Fuzzy Logic method. The identification of the quality of coffee beans using Fuzzy Sugeno by using the Sugeno Fuzzy model of the zero order and using the rule as much as 36, which is in accordance with the need to support the conclusions of quality from the identification results.
Analysis of the formation of a dynamic brief key algorithm RC4+ for file security
Authors: Karo-Karo Siddik , Tulus  , Zarlis M
Published: January 2020

The development of technology, makes it easy for us to communicate and exchange information and can also have an impact on the development of cryptographic algorithms. An algorithm that is used to do encryption and decryption must not only be correct, but also must be used efficiently. An algorithm is said to be efficient if the algorithm uses relatively smaller memory and has a fast processing time. So far, many studies have discussed the efficiency of an algorithm. Regarding the measurement of time and memory space needed is known as algorithm complexity. The complexity of the algorithm itself can be interpreted as a number of computational steps carried out by an algorithm to solve problems. The RC4 + algorithm is a symmetric algorithm that is used to encrypt and decrypt messages, and use the same key in the encryption-decryption process. The key used is the RC4 + session key key. In the result, the amount of memory needed by the modified RC4 + Algorithm is more. Execution time or runtime The modified RC4 + algorithm for encryption and decryption is much faster than the original algorithm.
Analysis SURF feature extraction and SVM classification for the facial image recognition from various angles
Authors: Rambe Aripin , Sihombing Poltak , Tulus
Published: January 2020

Biometric is a series of procedures used to measure the physical properties of a person based on your physical characteristics of a person’s behavior in identification and verification. One facial biometrics ie, feature extraction Speed Up Robust Feature (SURF) will be suitably used for extracting the characteristics of the face image. Support Vector Machine (SVM) will be used as a method of classification. The face data used in this study were obtained from the National Cheng Kung University (NKCU). SVM classification results with the help of SURF as a model feature extraction with the determination of the number of k = 50 gained 94.60% accuracy rate, k = 500 acquire a 100% accuracy rate and the number of k = 1000 classification results decreased with 93.70% accuracy rate.
Combination of solar and wind power to create cheap and eco-friendly energy
Authors: Tharo Zuraidah , Dharmawati  , Alfi Syahri M.
Published: January 2020

The Economic growth of North Sumatra is ideally 6% or more. Achieving this number is needed the investment in various sectors at Rp 120 trillion. The Energy isthe main factor for achieving the growth. A Deficit of electrical energy in North Sumatra, is depended by our increasing on imports of fuel, gas and electricity supply from diesel boat. This problem is added by the growth in energy needs of 6.86%. The use of rainy and dry seasons is as a reference in producing a combination of the wind and solar power. Both of these energy sources aim to complement each other in optimizing the electricity produced. The concept of a combination or hybrid between solar panels and vertical axis, wind turbines will accelerate more the charging and storage of energy into batteries for electrical the energy needs. From test performed with 100wp solar panels and vertical type wind turbines with low rpm < 300 which have been combined, it can produce 700 watts of electricit. These results have fulfilled for the needs or energy requirements in one simple house.
Effects of Friction Time on microstructures and mechanical properties of friction welded T92/Super304H dissimilar steel weld joints
Authors: Lu Yuan , Li Debiao , Bi Cheng , Sun Fuyang , Zhang Jianlong , Cao Bo
Published: January 2020

In this paper, the T92 martensitic steel and the Super304H austenitic steel were welded by continuous drive friction welding technique. The friction welding joints exhibited good mechanical and metallurgical properties. The influence of friction time on the microstructure and mechanical properties of T92/Super304H dissimilar steel joints was investigated. With an increase in the friction time, the grains in the welding zone and the heat affected zone didn’t grow up and the number of second-phase particles precipitates increased. The tensile fracture location was in the Super304H base metal and didn’t change. With an increase in the friction time, the tensile strength didn’t change, and the impact toughness decreased.
Effects of Friction Pressure on Microstructures and Mechanical properties of friction welded Super304H austenitic welding joints
Authors: Lu Yuan , Li Debiao , Zhang Jianlong , Bi Cheng , Sun Fuyang , Yang Yang
Published: January 2020

In this paper, the Super304H austenitic steel were welded by continuous drive friction welding technique. The friction welding joints exhibited good mechanical and metallurgical properties. The influence of friction pressure on the microstructure and mechanical properties of Super304H welding joints was investigated. With an increase in the friction pressure, the grains in the welding zone and the heat affected zone didn’t grow up and the number of the precipitated phases increased. The fracture location of tensile strength samples was in the heat affected zone. With an increase in the friction pressure, the Vickers hardness and the tensile strength increased.
Application Research of Quantitative Deductive Kansei Engineering in APP Interface Optimization Design
Authors: Ding Yuanyuan
Published: January 2020

In order to better explore people’s emotional appeals in the design of Application interface, this paper applies the quantitative deductive method of Kansei Engineering to the research of its optimization design. Firstly, questionnaire survey, cluster analysis and other methods are used to determine the design elements of APP interface and representative perceptual words, and then the semantic difference method is used to establish the relationship between the two, so as to carry out perceptual evaluation on representative APP interface samples. On this basis, qualitative analysis is used to explore the corresponding relationship between perceptual words and design elements. Finally, the validity of the conclusions obtained from the qualitative analysis is verified by the orthogonal analysis method, and the corresponding relationship between the consumer’s emotional demands and APP interface design elements is thus established.
Effect of C/C preform density on oxidation properties of C/C-SiC composites
Authors: Yao X Y , Li W , Feng G H
Published: January 2020

In order to study the effect of C/C preform on the oxidation properties of C/C-SiC composites, four kinds CVD-SiC coated C/C-SiC composites with different initial densities of C/C preform were prepared. The thermogravimetric oxidation behavior from 25 to 1450°C of prepared C/C-SiC composites and the isothermal oxidation of CVD-SiC coated C/C-SiC composites under static air at 1500 °C were studied. And the bending properties of SiC coated C/C-SiC composites before and after oxidation were investigated. The results show that the initial oxidation temperature of C/C-SiC composites increases first and then decreases with the increase of initial C/C density, which is determined by the porosity and SiC content of the composites. When the C/C density is 1.0 g/cm3, the initial oxidation temperature is 633 °C. The CVD coated C/C-SiC composites with initial C/C density of 1.0 g/cm3 exhibited the best static oxidation resistance at 1500 °C. The weight loss is 4.23% after oxidation for 10 h at 1500 °C, and the bending strength retention rate is 71.2%.
Study on the Effect of Fabric Parameters on the properties of Wave-Transparent Composites
Authors: Lan Tian , Liang Yin , Lu Zhongyuan , Li Nan , Pei Yuchen
Published: January 2020

Novel fabric structures of wave-transparent composites having excellent dielectric property were successfully prepared using autoclave moulding. The influence of fabric parameters (such as weaving patterns, hollow ratio, mix structure) on the properties of quartz fiber-reinforced modified cyanate ester composite were systematically investigated. The results show that satin weave fabric-reinforced composites have better mechanical performance than plain weave fabric--reinforced composites. With hollow ratio of fabric increasing the dielectric properties of composites becomes better, except for the mechanical performance. The prepared hollow/solid quartz fabric-reinforced composites in this study display lower dielectric constant and better mechanical properties than quartz/Aramid III and quartz/Poly-p-phenylene benzobisoxazole(PBO).
Fabrication and ablation resistance research of C/ZrC-SiC composites
Authors: Yu Yi , Jiang Bai-hong , Liu Wei , Jin Xin , Zhang Bao-peng , Liu Jun-peng
Published: January 2020

C/ZrC-SiC composites were prepared by precursor impregnation pyrolysis (PIP) process. The ablation resistance of the composites was studied. The residual mechanical property of the composites after ablation was compared and analyzed. The results show that the prepared C/ZrC-SiC composites have good ablation resistance under high temperature oxidation environment. The ablation amount in large area is less than 0.1 mm. The ablation products on the surface of the composites are mainly composed of SiO2 and ZrO2, forming a denser oxide film, which has a good protective effect on the structure of the composites. The data of residual mechanical properties indicate that the synergistic effect of high temperature and thermal stress under ablation environment may lead to the decrease of mechanical strength of composites.
Study on the influence of anticorrosive coating on chloride ion erosion resistance of concret
Authors: Du Tianyang
Published: January 2020

With the development of The Times and the progress of the society, more and more buildings have been built, more and more roads and bridges have been built, that is to say, the number of concrete structures is increasing.While concrete is convenient for our life, we also find that in the service of concrete structure, its durability sometimes fails to reach the designed service life. Especially, concrete buildings in coastal areas are corroded by chloride ions for a long time, which causes damage to the concrete structure.An effective way to solve this problem is to apply anti-corrosion coating on the concrete in service.This paper aims to introduce the influence of different anticorrosive coating systems on chloride ion erosion resistance of concrete.Through drilling samples of concrete specimens with dry and wet circulation in 10% NaCl solution.The content of chloride ion in concrete powder was tested at different depths.By comparing the experimental data of these three different anticorrosive coatings, we can find that polyurethane coating has the best chloride ion resistance, the next is polyurea coating.Both of them protect the concrete from chloride ion erosion.
Evaluation of Uncertainty in Determining Average Grain Size by ASTM E112 Standard
Authors: Bi Geping , Guan Yong , Chen Xiaoyu , Tan Wenhua , Huang Wenniu , Gao Yuqing , Wang Meimei
Published: January 2020

In this paper, the ASTM grain size number of aluminium alloy specimen was determined respectively by Abrams Three-Circle Procedure and Planimetric Procedure of ASTM E112-13 Standard, and the uncertainty of the result was evaluated. The results are as follows: 1) Using the Abrams Three-Circle Procedure determines G, G=4.13, U=0.26, k=2; Using the Planimetric Procedure determines G, G=3.94, U=0.15, k=2. 2) It is suggested that the ASTM E112 standard should provide that the errors of counting grain boundary intersection count or number of grains should be less than or equal to 2, and the ruler that determines the diameter of test circle or scale length should be with the scale that is less than or equal to 0.10 mm. On this condition, the uncertainties caused by them in determining G can be negligible. 3) The main sources of uncertainty for the determination of G by Abrams Three-Circle Procedure and Planimetric Procedure are repetitive measurement, which depends on the uniformity of grain size of specimen. 4) The %RA limit of ASTM E112 for determining G should be redefined according to the measurement uncertainty in order to be up to the precision requirement (±0.25).
Preparation of silk-like zirconia and investigation of its heat-insulating properties
Authors: Xi Chang , Xu Qinqin , Pang Xu , Wang Tianchi
Published: January 2020

Many life forms possess the aesthetic and unique micromorphologies after long-term evolution and inspire researchers to fabricate different types of microstructures. In this study, silk was utilized as a template to produce silk-like zirconia fibers with excellent heat-insulating properties. We soaked silk in a solution containing Zr4+ and thereafter sintered the dried silk in air at temperatures below 1000 °C to obtain the zirconia fibers. The results showed that these zirconia fibers not only maintained the structures of silk but also exhibited hollowness, which rendered them with lower thermal conductivities and higher heat-insulating properties than conventional zirconia fibers.
SimBSI: An open-source Simulink library for developing closed-loop brain signal interfaces in animals and humans
Authors: Ojeda Alejandro , Buscher Nathalie , Balasubramani Pragathi , Maric Vojislav , Ramanathan Dhakshin , Mishra Jyoti
Published: January 2020

Objective. A promising application of BCI technology is in the development of personalized therapies that can target neural circuits linked to mental or physical disabilities. Typical BCIs, however, offer limited value due to simplistic designs and poor understanding of the conditions being treated. Building BCIs on more solid grounds may require the characterization of the brain dynamics supporting cognition and behavior at multiple scales, from single-cell and local field potential (LFP) recordings in animals to non-invasive electroencephalography (EEG) in humans. Despite recent efforts, a unifying software framework to support closed-loop studies in both animals and humans is still lacking. The objective of this paper is to develop such a unifying neurotechnological software framework. Approach. Here we develop the Simulink for Brain Signal Interfaces library (SimBSI). Simulink is a mature graphical programming environment within MATLAB that has gained traction for processing electrophysiological data. SimBSI adds to this ecosystem: 1) advanced human EEG source imaging, 2) cross-species multimodal data acquisition based on the Lab Streaming Layer library, and 3) a graphical experimental design platform. Main results. We use several examples to demonstrate the capabilities of the library, ranging from simple signal processing, to online EEG source imaging, cognitive task design, and closed-loop neuromodulation. We further demonstrate the simplicity of developing a sophisticated experimental environment for rodents within this environment. Significance. With the SimBSI library we hope to aid BCI practitioners of dissimilar backgrounds in the development of, much needed, single and cross-species closed-loop neuroscientific experiments. These experiments may provide the necessary mechanistic data for BCIs to become effective therapeutic tools.
Chronic Alcohol Consumption Increased Bile Acid Levels in Enterohepatic Circulation and Reduced Efficacy of Irinotecan
Authors: Gong Xia , Zhang Qisong , Ruan Yanjiao , Hu Ming , Liu Zhongqiu , Gong Lingzhi
Published: January 2020

Aims

To investigate the effect of ethanol intake on the whole enterohepatic circulation (EHC) of bile acids (BAs) and, more importantly, on pharmacokinetics of irinotecan.

Methods

The present study utilized a mouse model administered by gavage with 0 (control), 240 mg/100 g (30%, v/v) and 390 mg/100 g (50%, v/v) ethanol for 6 weeks, followed by BA profiles in the whole EHC (including liver, gallbladder, intestine and plasma) and colon using ultra-high performance liquid chromatography with tandem mass spectrometry analysis. Pharmacokinetic parameters of irinotecan were measured after administration of irinotecan (i.v. 5 mg/kg) on alcohol-treated mice.

Results

The results showed that compared with the control group, concentrations of most free-BAs, total amount of the three main forms of BAs (free-BA, taurine-BA and glycine-BA) and total BAs (TBAs) in 50% ethanol intake group were significantly increased, which are mostly attributed to the augmentation of free-BAs and taurine-BAs. Additionally, the TBAs in liver and gallbladder and the BA pool were markedly increased in the 30% ethanol intake group. Importantly, ethanol intake upregulated the expression of BA-related enzymes (Cyp7a1, Cyp27a1, Cyp8b1 and Baat) and transporters (Bsep, Mrp2, P-gp and Asbt) and downregulated the expression of transporter Ntcp and nuclear receptor Fxr in the liver and ileum, respectively. Additionally, 50% ethanol intake caused fairly distinct liver injury. Furthermore, the AUC0–24 h of irinotecan and SN38 were significantly reduced but their clearance was significantly increased in the disrupted EHC of BA by 50% ethanol intake.

Conclusions

The present study demonstrated that ethanol intake altered the expression of BA-related synthetases and transporters. The BA levels, especially the toxic BAs (chenodeoxycholic acid, deoxycholic acid and lithocholic acid), in the whole EHC were significantly increased by ethanol intake, which may provide a potential explanation to illuminate the pathogenesis of alcoholic liver injury. Most importantly, chronic ethanol consumption had a significant impact on the pharmacokinetics (AUC0–24 h and clearance) of irinotecan and SN38; hence colon cancer patients with chronic alcohol consumption treated with irinotecan deserve our close attention.
Impaired automatic but intact volitional inhibition in primary tic disorders
Authors: Rawji Vishal , Modi Sachin , Latorre Anna , Rocchi Lorenzo , Hockey Leanne , Bhatia Kailash , Joyce Eileen , Rothwell John C , Jahanshahi Marjan
Published: January 2020

The defining character of tics is that they can be transiently suppressed by volitional effort of will, and at a behavioural level this has led to the concept that tics result from a failure of inhibition. However, this logic conflates the mechanism responsible for the production of tics with that used in suppressing them. Volitional inhibition of motor output could be increased to prevent the tic from reaching the threshold for expression, although this has been extensively investigated with conflicting results. Alternatively, automatic inhibition could prevent the initial excitation of the striatal tic focus—a hypothesis we have previously introduced. To reconcile these competing hypotheses, we examined different types of motor inhibition in a group of 19 patients with primary tic disorders and 15 healthy volunteers. We probed proactive and reactive inhibition using the conditional stop-signal task, and applied transcranial magnetic stimulation to the motor cortex, to assess movement preparation and execution. We assessed automatic motor inhibition with the masked priming task. We found that volitional movement preparation, execution and inhibition (proactive and reactive) were not impaired in tic disorders. We speculate that these mechanisms are recruited during volitional tic suppression, and that they prevent expression of the tic by inhibiting the nascent excitation released by the tic generator. In contrast, automatic inhibition was abnormal/impaired in patients with tic disorders. In the masked priming task, positive and negative compatibility effects were found for healthy controls, whereas patients with tics exhibited strong positive compatibility effects, but no negative compatibility effect indicative of impaired automatic inhibition. Patients also made more errors on the masked priming task than healthy control subjects and the types of errors were consistent with impaired automatic inhibition. Errors associated with impaired automatic inhibition were positively correlated with tic severity. We conclude that voluntary movement preparation/generation and volitional inhibition are normal in tic disorders, whereas automatic inhibition is impaired—a deficit that correlated with tic severity and thus may constitute a potential mechanism by which tics are generated.