bluuebunny/crossref_metadata_2025_split huggingface dataset:
Usefulness of cold polypectomy under linked color imaging
Authors: Suzuki Takuto , Kitagawa Yoshiyasu , Nankinzan Rino , Yamaguchi Taketo 
Published: January 2020

Abstract
Background and study aims Cold polypectomy is becoming popular for treatment of colon polyps due to its safety and convenience, but there is still the problem of tumor remnants. Because linked color imaging (LCI) improves polyp visibility, cold polypectomy under LCI is anticipated to reduce the tumor remnant rate. Therefore, we investigated the usefulness of this procedure.
Patients and methods Fifty patients scheduled to undergo cold polypectomy for treatment of colon polyps < 10 mm and assumed to be adenomas were registered prospectively. After performing cold snare polypectomy (CSP) under LCI, biopsy was performed at two resection margin sites for each polyp to determine the tumor remnant rate.
Results A total of 145 lesions were treated by CSP. Of the 139 lesions in which polyps were retrievable and diagnosed as adenomas pathologically, one lesion was recognized as a remnant adenoma on biopsy (remnant rate: 0.7 % [95 % CI: 0.0–4.4]). This remnant rate was extremely low. Treatment results were extremely promising given that en bloc resection, post-procedure bleeding, and perforation rates were 100 %, 0 %, and 0 %, respectively.
Conclusion Cold snare polypectomy under LCI may be an effective treatment method capable of reducing the tumor remnant rate. This trial was approved by our Institutional Ethics Committee and registered at the University Hospital Medical Information Network (UMIN 000033690).
Chinese-dominant bilingualism
Authors: Ding Hongdi 
Published: January 2020

AbstractThis research provides quantitative evidence of the decline in Nuosu competence among the young Nuosu generation in Liangshan, Sichuan, China, through a direct comprehensive linguistic measurement of their Nuosu-Chinese bilingual competence. Although the young generation can still speak Nuosu, a Tibeto-Burman language, as fluently as the elder Nuosu generations without apparent difficulty, this research identifies the subtle change of competence before it becomes widely noticeable. A sample of 34 ethnic Nuosu of three generations was tested in Xichang, Liangshan, through measuring their core or implicit language knowledge (i.e. morphology, syntax, lexicon, semantics, and pragmatics) in Nuosu and Chinese. The participants were from seven Shynra-speaking counties and two Yynuo-speaking counties, mainly within Liangshan. The test format was listening and speaking, to include illiterate speakers. It was found that all elder and middle-aged subjects still possessed monolingual baseline competence, which was stable and maintained at a high level. However, only half of the young Nuosu subjects achieved monolingual baseline competence in Nuosu. The other half, though still considered as native speakers of Nuosu, had lower and more varied competence; however, almost all of them achieved monolingual baseline competence in Chinese. The Nuosu speech community in Liangshan is shifting from Nuosu-dominant bilingualism to Chinese-dominant bilingualism. Moreover, the present study proposes a typology of native speakers and a typology of bilinguals based on different levels of competence obtained from the current sample.
Finite Impulse Response Type Multilayer Perceptron Artificial Neural Network Model For Bacteria Growth Modeling Inhibited by Lemon Basil Waste Extract
Authors: Budiati T , Suryaningsih W , Biyanto T R , Pangestika N P , Pangestu M T , Saputra F , Hidayat A , Widyawati A , Firdaus F N , Sabilla D V 
Published: January 2020

Abstract
The tools to predict the growth of bacteria over the time is essential to maintain the process stability in bio processes. Currently, not all tools have been fully used to fulfil these interests which can be applied in industry and laboratory. In this paper, a mathematical modelling approach based on the type of multi layer perceptron artificial neural network created by Finite Impulse Response (FIR) is proposed. The neural network model was developed using data collected from laboratory work. A total of 75% the growth of bacteria (S. Aureus, B. Cereus and S. Typhimurium) which is inhibited by lemon basil waste extract, over the time data are used to train Artificial Neural Network (ANN), and the rest of the data are used to validate the model. ANN has been model the growth of S. Aureus, B. Cereus and S. Typhimurium which is inhibited by lemon basil waste extract over the time. Mean Square Error (MSE) results during training and validation obtained from this modeling were 0.087 and 0.147, respectively. It means the mathematical modeling approach used in this study is suitable for capturing nonlinear characteristics of bacterial growth that is inhibited by lemon basil waste extract.
Response of the Vanda Planlet (Vanda sanderiana) to the Addition of Guano and Mycorrhizal Fertilizers in the Acclimatization Stadia
Authors: Kasutjianingati K , Firgiyanto R , Warisu AE 
Published: January 2020

Abstract
Acclimatization is a critical point for the success of tissue culture propagation. In this phase, in addition to maintaining the condition of the growing environment, accuracy of media composition is required. This study aims to determine the growth response of the Vanda orchid plantlet (Vanda sanderiana) acclimatization phase to the dose of guano and mycorrhizal fertilizers. The design used in this study was a Factorial Randomized Block Design (RBD) with 2 factors. The first factor is the dose of guano fertilizer (without guano, 4g/plant and 8 g/plant), the second factor is mycorrhizal dose (without mycorrhizal, 10 g/plant and 20 g/plant), repeated 3 times. Growth observation variables include number of leaves, leaf length, leaf width and life percentage. The experimental results were analyzed using Analysis of Variace and followed by 1% BNJ test. The results showed that the interaction of the two treatment factors did not significantly affect all parameters. Conclusions guano and mycorrhizal fertilizers are not needed in the acclimatization phase of the Vanda orchid plantlet.
The Effect of Varieties on Growth and Yield of Chili (Capsicum annum L.) in Andisol Soil Aceh Besar
Authors: Syafruddin  , Syamsuddin  , Syakur  , Jumini  , Marliah A , Halimursyadah  , Hasanuddin  
Published: January 2020

Abstract
This research aims to determine the effect of varieties on the growth and yield of chili plants on the Andisol soil. This research was carried out at Lon Baroh, Lembah Seulawah District Aceh Besar, greenhouse and laboratory of plant physiology, Faculty of Agriculture of Syiah Kuala University, Darussalam, Banda Aceh from November to March 2019. The analysis of data used in this study was Randomized Block Design – non Factorial with 3 replications. There are 2 series of this research, Serie A and Series B. Serie A is used to collect data on growth and yield of chili plants and Serie B is used to collect data on mycorrhizal infection. The factors observed in this research were varieties. Varieties used are Lado F1 and Perintis. The result of this research showed varieties of chili plants highly significant take effect on plant height 15, 30 and 45 DAP, stem diameter 30 and 40 DAP, productive branch numbers, plant fresh weight, plant dry weight, fruit weight, fruit length, fruit number and yield potential and significantly affect on stem diameter 45 DAP, root fresh weight, and root dry weight. The best growth and yield of chili plants is found in Lado F1 varieties.
Serine protease from Artocarpus altilis (breadfruit) latex
Authors: Siti-Balqis Zulfigar , Rosma Ahmad 
Published: January 2020

Abstract
Breadfruit is recognized as a plant with the potential to be cultivated as an alternative staple food due to its high starch content and envisioned as a solution to mitigate hunger. The plant bears abundant fruits throughout the year with its productivity is comparable to other staple crops and it thrives well in countries where the poor population is high. Breadfruit however, exudes copious amount of latex upon harvesting and the stained epicarp often perceived as low in quality. Standardized methods of harvesting in plantations include a stage of latex draining by inverting the fruit for several hours. The latex will be drained to the ground and considered as an agricultural waste with no current commercial application. Despite being considered as a nuisance, plant latexes is a rich source of proteases functioned as a defensive mechanism against pathogenic attacks. In the effort to identify its potential, the breadfruit latex protease was purified and its characteristics were determined. The stability of the protease was investigated and its kinetics of inactivation was estimated in this research. Based on the analyses, breadfruit latex was discovered to consist of a serine protease with highly stable properties, potentially developed as an alternative commercial protease.
Dynamic System Model for Performance Measurement of Tea Agroindustry
Authors: Brilliantina A , Purnomo B H , Suryaningrat I B 
Published: January 2020

Abstract
The problems of decrease in tea quality and tea productivity agroindustry have become a quite complex system problems. The dynamic system approach provides an analytical framework in order to understand the linkage of managerial policies of tea agroindustry. It applied dynamic system model by using tool powersym studio 2005. The simulation is done in the period of 2019-2025. Furthermore, performance dynamic model of tea agroindustry consists of production process linkage, finance, and human resources. The system produces three scenarios (aggressive, moderate, and pessimistic) based on management's response to strategic planning in 2011-2016. The result of this research is the model can be used to provide insight for management to monitor dynamic behavior of tea agroindustry. The simulation of dynamic behavior of scenarios recommended aggressive scenario as the best recommendation. The best scenario is the aggresive scenario. The measures were 10% rejuvenation increase, 10% production cost decrease, minimum tea selling price on export quality, increase in HR investment cost as much as 20%.
Forecasting sugarcane production in the Asembagus sugar factory
Authors: Harlianingtyas I , Salim A , Hartatie D , Supriyadi  
Published: January 2020

Abstract
The production of the sugar industry is increasing from year to year because of the national sugar production and consumption. To achieve the level of production that can meet these needs, the government has requested a national sugar self-sufficiency policy. Estimation of sugarcane production has a big influence on the company's policy considerations to determine further production results. This study aims to predict the production of sugar cane that will be obtained by the Asembagus sugar factory for the next five years. The data used to predict are data from 1979 to 2018 obtained from secondary data from Asembagus factory registration results. The method used is the Box-Jenkins ARIMA method by comparing the measurement of forecasting results with the trend and exponential smoothing methods. The appropriate forecasting result is the ARIMA model (1,1,1) because it has a smaller error value than using other methods. Forecasting results for 2019 are 42055.6 tons in 2020 predicted 43222.9 tons in 2021 predicted to produce 44090.7 tons, in 2022 predicted 44788.2 tons and in 2023 predicted sugarcane production of 45389.2 tons.
The effect of flushing with fatty acid supplementation in ewes ration on folliculogenesis
Authors: Nurlatifah A , Khotijah L , Komalasari K , Astuti D A 
Published: January 2020

Abstract
This study aims to evaluate the effect of flushing with different fatty acids docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) from lemuru fish oil in the rations of local sheep on folliculogenesis. Sixteen ewes divided into 4 groups fed rations T0=basal ration; T1=flushing rations containing linoleic without enriched EPA and DHA; T2=flushing rations containing linoleic enriched with EPA and DHA, T3=flushing rations containing linoleic enriched with EPA and DHA with two times from maintenance requirement. Ratio forages and concentrates in the ration were 30%:70%. The parameter observed were body weight gain (BWG), body condition score (BCS), nutrient consumption, corpus luteum, diameter and amount of follicle, blood cholesterol, and blood glucose. The data obtained are analyzed by analysis of variance follow by Duncan Test. The results showed that the treatments did not significant effect to the dry matter consumption, protein, fiber, and total digestible nutrient, but significantly effect to fat consumptions (P<0.05). Flushing treatment for three weeks increased BCS from 0.75 to 0.87. There were significant effect to large follicles, the diameters of large follicle and corpus luteum. Plasma glucose and cholesterol concentrations during the flushing period have significantly different (P< 0.05) among all treatments.
Wireless sensor network development in unmanned aerial vehicle (uav) for water quality monitoring system
Authors: Etikasari B , Husin  , Kautsar S , Riskiawan H Y , Setyohadi D P S 
Published: January 2020

Abstract
Based on the results of monitoring data by Badan Pengendalian Lingkungan Hidup (BPLHD) on 13 rivers that crossed Jakarta area in 2010 showed that both river water and ground water have high organic and inorganic pollutants. To tackle the pollution, government take a river water sample at waste disposal location periodically to examine its water content. The industrial waste disposal location point is not always easy to reach. At the certain condition, officers must ride raft boat or walk down the river to access that location. Besides taking a longer time, human safety factors are also become consideration. Based on these problems, in this research a wireless sensor network was developed in an Unmanned Aerial Vehicle (UAV / drone) using 912 MHz radio frequency. UAV in this research is equipped with various sensors to determine water quality, namely: PH, temperature, turbidity, Dissolved Oxygen (DO), and carbon dioxide. All sensors are integrated and monitored wirelessly using Universal Asynchronous Receiver Transmitter (UART) on the ground station. The telemetry system is designed to be able to send and receive data up to 1 KM distance in real-time. There are three general stages in this research, namely configuration design, manufacturing, and UAV flight test.
Application Legume Compost with Bio-Activator Trichoderma sp as Inorganic Fertilizer Substitution in Sweet Corn (Zea mays L. Saccharata) Cultivation
Authors: Kusparwanti T R , Eliyatiningsih  , Wardana R 
Published: January 2020

Abstract
Legume litter can be used as compost with the help of bio-activator Trichoderma sp. as a decomposing microorganism. Legume compost can function as a source of organic fertilizer for plants and can reduce the use of inorganic fertilizers. This study aims to determine the best dose combination using inorganic fertilizer balanced with legume compost fertilizer. The study used non factorial randomized block design with 5 levels of treatment that were control, legume compost 20 ton/ha + 100% inorganic fertilizer, legume compost 30 ton/ha + 75% inorganic fertilizer, legume compost 40 ton/ha + 50% inorganic fertilizer, and legume compost 50 ton/ha + 25% inorganic fertilizer. Based on Anova test showed that the application of various combinations of inorganic fertilizer (Urea, SP-36, KCl) and legume compost had significant effect on the age of 2 WAP, 4 WAP and 5 WAP on the parameters of plant height, significant to the parameters cob weight, and had no significant effect on the sweetness level of sweet corn.
Identification Secondary Metabolite of Weed as Organic Pesticide on Tomato
Authors: Putri SU , Jumiatun J , Wihartiningsih N 
Published: January 2020

Abstract
One of horticulture commodity is tomato. The tomato production every years is fluctuating. Because of many problem on tomato cultivation. One of problem is pest controlling which use synthetic pesticide to pest control. One of effort to minimize synthetic pesticide is application organic pesticide from nature compose (in around us). This research to know secondary metabolite of weed as organic pesticide on tomato. This research randomized block design with fourth threatmen are Ageratum conyzoides, Cyperus rotundus, Cyperus kyllinga, Chromolaema odorata. The fourth weed was cyperaceae group and broadleaves. The result showed that potential secundary metabolite whose not saponin to fourth organic pesticide.
Maize yield in a dryland area as affected by rainfall variability
Authors: Jaya I K D , Sudirman  , Rosmilawati  , Soemeinaboedhy I N , Sudika I W 
Published: January 2020

Abstract
This study aimed to report maize yield in a dryland area of North Lombok as affected by rainfall variability. A three-year study was conducted during a period of maize growing season (December to April) in 2015/2016, 2016/2017 and 2017/2018 in Gumantar village, North Lombok. Daily rainfall data was collected from a rain gauge installed in one of maize farmers’ land. Estimation of drain upper limit and crop lower limit was done based on gravimetric method. Hand-held core kits were used to collect soil samples at 0-15cm, 15-30cm, 30-60cm depth at sowing, fast vegetative growth stage (35 days after sowing=DAS), grain filling stage (85 DAS), and at harvest. Maize yield data were collected from 20 farmers that all grew maize as main crop and legume crop (ground nut or mung bean) as secondary crop. There was great rainfall variability in term of the beginning of rainy season, volume and distribution of the rain as well as the occurrence of dry-spell period resulted in great maize yield variability. The highest maize yield recorded was 8.4 ton/ha and the lowest was 0.6 ton/ha. Growing legume crop in addition to maize can be a good practice in dryland area to avoid total yield loss.
Research and Design of Road Intelligent Parking Based on IoT
Authors: Wang Lei , Li Kunqin , Luo Yong 
Published: January 2020

Abstract
Development of auto industry leads to parking difficulty and traffic jam in the city, which decreases operating efficiency of the city and happiness of people. Under the circumstances, parking space is planned on both sides of roads, by which the traffic jam is relieved to a certain extent. But some problem exists in management of the parking space as follows: Firstly, the management cost is high such as Human Resources investment. Secondly, rate of received fees (about 30 percent) is low because many car owners don’t pay parking fees consciously. For the above problems, in this paper, the road intelligent parking request is firstly analyzed, and then an intelligent management and fee collecting solution for the road parking based on IoT is put forward. Besides, a management and control platform of road intelligent parking is designed. Finally key technologies for this system are analyzed. The purpose is to realize intelligent management, lower management cost, and higher fee collecting rate for the road parking.
How to Implement the Commodity Publishing System in Ecommerce Platform
Authors: Li Lijun , He Hong 
Published: January 2020

Abstract
The Commodity publishing system is one of the most important software component of the ecommerce platform system. A simple and practical publishing system is necessary for the ecommerce platform system blooming everywhere. We describe how to design a commodity publishing system, including the system design features, the database design and software implementation. The method is helpful for software engineers.
An Improved Hydraulic Driven Feeding and Loading Wagon
Authors: Liao Yinglong , Yi Jiangang , Fang Bangxu , Li Changjun 
Published: January 2020

Abstract
In the process of rapid development manufacturing industry, feeding and loading wagon plays an important role in the connection and switching of each industrial station. In this paper, a hydraulic-driven feeding and loading system is proposed, and the system scheme and structure are given. On the basis of it, the finite element analysis and verification of the support are carried out. The designed wagon not only saves manpower and material resources, but also improves the work efficiency to a great extent.
The Implementation and Application of the MBPP Technology in Aircraft Development Process
Authors: Yin Haijun , Zhang Hui , Shan Yingji 
Published: January 2020

Abstract
In this paper, the model based technical requirements of MBPP system Implementation plan is put forward by the application requirement analysis of MBD technology in aircraft development process. Then it is described for the application target, application architecture, implementation process and the main business functions of MBPP system. Based on the application example, the application process of the system is also introduces in the development process of certain aircraft, which has some reference value for the development and application of 3D CAPP based on model.
Mining and Analyzing “Multi-Meters in One” Comprehensive Energy Data
Authors: Wang Zhelong , Du Yan , Guo Liang , Guo Hongxia , Jing Zhen , Li Zhe , Zhu Hongxia , Yang Jie 
Published: January 2020

Abstract
In the present paper, the massive comprehensive energy data was utilized to establish energy consumption analysis model, energy consumption suggestion model, energy consumption loss model, vacant household discrimination, holiday energy consumption analysis model, and so on. The comprehensive energy data was fully excavated, which can guide customers to use energy scientifically, help enterprises to save energy and reduce losses, and provide data support for government decision-making.
Single Channel Speech Enhancement Algorithm based on BLSTM-DNN Bidirectional Optimized Hybrid Model
Authors: Sun Xiaoyue , Li Ruwei , Li Tao , Yang Dengcai 
Published: January 2020

Abstract
The performance of existing speech enhancement algorithms based on deep learning is not ideal in complex noise environment. To improve the problem, a bidirectional optimized hybrid network named BLSTM-DNN is constructed based on bidirectional long-short term memory (BLSTM) network and fully-connected deep neural network (DNN). This structure uses BLSTM to extract high-level information including past and future temporal context of noisy speech. Next, fully-connected DNN fits the high-level information to ideal ratio mask (IRM). Finally, the IRMs estimated by the BLSTM-DNN are used to enhance the noisy speech. Experimental results show that the proposed method can effectively improve the speech quality and intelligibility under unknown noise conditions.
Research on Automatic Discharge System of Stamping Line Tail
Authors: Yi Jiangang , Bo Wen , Wang Zibo 
Published: January 2020

Abstract
The automatic discharge system of stamping line tail is an important part of automatic logistics production line, which can solve the problem of disorderly placement and management of end workpieces. In this paper, an intelligent automatic discharge system for stamping line tail is proposed, focusing on the design of horizontal discharging mechanism, vertical lifting mechanism and conveying mechanism. Through reasonable selection and calculation analysis, the mechanism composition of each part is given. On this basis, the key components are modelled and simulated by finite element method.