bluuebunny/crossref_metadata_2025_split huggingface dataset:
User-based Collaborative Filtering Algorithm Design and Implementation
Authors: Wang Hulong , Shen Zesheng , Jiang Shuzhen , Sun Guang , Zhang Ren-Jie 
Published: February 2021

Abstract
With the rapid development of social humanities and technology, especially the development of the Internet, the current Internet era, the amount of information is increasing rapidly with explosive growth rate, the information overload problem is particularly obvious, on the accurate acquisition of information from the massive amount of information users want, from which the personalized recommendation technology was born. In order to solve the problem of acquiring the information users want, this paper researches and discusses a kind of personalized recommendation algorithm - a user-based collaborative filtering algorithm, analyzing the user behavior, comparing the advantages and disadvantages of other related algorithms, using the UserCF algorithm, and optimizing the sparse matrix to reduce the time and complexity of the operation. The algorithm is implemented by software to generate recommendation results. The results of the experimental data in this paper show that the algorithm is effective in recommending projects to users.
A Method with Pre-trained Word Vectors for Detecting Wordlist-based Malicious Domain Names
Authors: Lin Shaoqing , Zhong Shangping , Cheng Kaizhi 
Published: February 2021

Abstract
In recent years, botnets have used the domain generation algorithm to generate dynamic typified malicious domain names to bypass various detection methods. Given the depth detection model of such domain names, domain names are generally processed by filling and transforming them into a fixed-length one-dimensional vector and then classifying them with poor detection performance. Therefore, this study first divides the domain into a word array and converts it into a word vector using pre-trained word vector models, Embeddings from Language Models. The domain is inputted into the TextCNN model for training classification. From approximately 100,000 data sets, a 94.22% accuracy rate and 6.87% FPR value can be obtained from the training. Compared with previous detection models (i.e., LSTM and CNN), more training and testing are needed, but improvements are made in all indicators.
Performance Limitation of Sequence Alignment on the NUMA-based Architecture
Authors: Chen Shaolong , Luo Zhenzhen , Gui Xiaolin , Yang Wei 
Published: February 2021

Abstract
In recent years NUMA architecture based on multicore system leads a mainstream solution to tackle the rapidly expanding computation in bioinformatics analysis. Sequence alignment is the most computing cost in the workflow of variant analysis in bioinformatics. Although parallel coding in sequence alignment could be few difficulties, approaching a good performance in such a system is complicated. This research explores the architecture bottlenecks we usually neglect in the implementation of bioinformatics computing, NUMA effect for instance. We exploit the scalability of threads in the sequence aligners to illustrate the problem and the significance of NUMA architecture in the multicore system. The preliminary results in the experiments display that sequence aligners cannot take advantage of NUMA-based multi-core architecture. The scalability of threads is deficient, even negative in time-cost at the case of large-scale genome data larger NUMA nodes.
Design of Parallel Algorithm for Kalman Filter on SW26010 Processors
Authors: Yang Aiqiang , Xu Dandan 
Published: February 2021

Abstract
Kalman filter algorithm, an effective data processing algorithm, has been widely used in space monitoring, wireless communications, tracking systems, the financial industry, and so on. On the Sunway TaihuLight platform, we present an improved Kalman filter parallel algorithm which is according to the new architecture of the SW26010 many-core processors (260 cores) and new programming mode (master and slave heterogeneous collaboration mode). Furthermore, we propose a pipelined parallel mode for the KF algorithm based on a seven-level pipeline of the SW26010 processor. The vector optimization strategy and double buffering mechanisms are provided to improve the parallel efficiency of Kalman filter parallel algorithm on SW26010 processors. The vector optimization strategy can improve data concurrency in parallel computing. In addition, the communication time can be hidden by double buffering mechanisms of SW26010 processors. The experimental results show that the performance and scalability of the parallel Kalman filter algorithm based on SW26010 are greatly improved compared with the CPU algorithm for five different data sets, and is also improved compared to the algorithm on GPU.
Design and implementation of regional online ride-hailing scheduling algorithm
Authors: Hong Anding , Liu Xianfeng , Zhang Jianzhong , Luo Zhangming , Zhang Jin , Cai Meiling 
Published: February 2021

Abstract
The network car has solved some problems of traditional taxis from the perspective of safety and convenience, but there are still gaps in the inter-city field. This paper proposes a scheduling method to solve the inter-city travel field from the regional perspective. Firstly, the platform of the system is built from the perspective of software development, and then the traditional scheduling algorithm for dispatching orders in the city is studied. Finally, the intercity scheduling algorithm is mainly designed. This paper fills the gap in the field of inter-city travel between vehicles, and the scheduling algorithm performs well, with good order taking rate and travel efficiency. The establishment of the regional network car platform meets the needs of the public for inter-city travel. The platform itself has practical significance, and the study of scheduling algorithm also provides ideas and reference for the field of vehicle scheduling.
Manufacturing features, structure, and properties of high-purity Mo-Re thin sheets
Authors: Burkhanov G S , Yusupov V S , Roschupkin V V , Karelin F R , Kirillova V M , Karelin R D , Ermishkin V A , Minina N A , Sdobyrev V V , Serebryany V N , Dormidontov N A , Rodionova S K , Dementiev V A , Lachenkov S A 
Published: February 2021

AbstractManufacturing features, structure and properties of low-alloyed molybdenum sheets 0.5 mm thick made from the experimental Mo-3 wt.% Re single crystal are described and discussed in the present work. The developed technological scheme includes warm rolling of the initial ingot at a temperature of 1150 °C, with heating in the argon protective atmosphere, subsequent annealing at 850 °C for 2/3 h in a vacuum, no less than 1 ·103mmHg, cold rolling at a temperature of 400 °C, and post-deformation annealing at 800 C for 1/2 h. The results of micro structure analysis, physical and mechanical studies show that thin sheets are characterized by simultaneously high strength and plasticity, as well as the required temperature coefficient of linear expansion (TCLE), necessary for bonding with a glass by a thermo-compression welding. Obtained results reveal perspectives for the development of the application of thin Mo-3 wt.% Re sheets in vacuum engineering for the vacuum-tight metal-glass parts.
Structure and strength characteristics of rutile ceramics obtained with the approach of oxidative constructing
Authors: Kovalev I , Shevtsov S , Ogarkov A , Shokodko A , Zufman V , Kochanov G , Shokodko E , Strelnikova S , Chernyavskii A , Solntsev K 
Published: February 2021

Abstract
As a result of applying the oxidative constructing approach, compact samples of rutile ceramics were obtained at 875°C for 160 days. An analysis of the distribution of microhardness over the thickness of a rutile sample obtained at 875°C at different times of synthesis indicates an inhomogeneous structure of rutile ceramics, which indicates that the material is defective due to its porosity. The regularities of changes in the nature of the layering of the structure of ceramics are established depending on the portion of the kinetic curve of the direct oxidation of titanium. It is shown that the presence of a defect in the form of a gap between the layers formed during the oxidation of titanium blanks at the stage of completion of the exponential growth of the kinetic curve is due to a natural barrier – a massive rutile ceramic layer, which limits the free access of oxygen to the TiO2/Ti interface.
Chromium adsorption on sodium sulfide treated sheep wool
Authors: Enkhzaya S , Matsune H , Shiomori K , Oyuntsetseg B 
Published: February 2021

Abstract
Chromium adsorption from the aqueous phase was evaluated using Mongolian sheep wool as a biosorbent. The wool was chemically treated with sodium sulfide to enhance the adsorption capacity. The surface of the wool was analyzed by SEM. EDX and FTIR were also used for the analysis of differences in the wool after chromium adsorption. Chromium was detected in the wool after adsorption by EDX analysis. FTIR data indicated the intensity change in amide A and amide I, which shows chromium may be adsorbed to the amino and carboxyl groups of the wool. The sodium sulfide treated wool showed better adsorption capacity of chromium(III) than the untreated wool. In the case of chromium(III), the adsorption amount increased with the pH increased, while for chromium(VI), the adsorption value increased with the pH decreased. Kinetic analysis of the adsorption indicated that the removal of chromium followed pseudo-second order kinetic model for the whole contact time range. Langmuir isotherm model was used for the analysis of adsorption equilibrium and the adsorption followed well Langmuir isotherm. This study demonstrates the sodium sulfide treated wool is an effective and low-cost biosorbent for heavy metal adsorption.
Inhibitory power of young coconut fiber ethanol extract (Cocos nucifera Linn) on the growth of Bacteria staphylococcus aureus and Escherichia coli in tofu
Authors: Sumarni N K , Rahmawati  , Ruslan  
Published: February 2021

AbstractAnalysis of the growth of bacteria Staphylococcus aureus and Escherichia coli has been carried out on tofu that is soaked in ethanol extract of coconut coir (Cocos nucifera Linn). This study aims to determine the lowest total growth of the bacteria Staphylococcus aureus and Escherichia coli in tofu that is immersed in ethanol extract of young coconut fibre-based on variation in concentration a storage time. Young coconut coir is extracted using 96% ethanol and applied in various concentrations from 1000 to 7000 ppm with a soaking time of 24, 48, 72, and 96-hour, respectively. The total bacteria in the tofu from each treatment was calculated by the total plate count method. Based on the results obtained, it can be seen that the lowest total growth of Staphylococcus aureus is 3751 CFU/g, which is immersed at a concentration of 7000 ppm for 24-hour. As for the Escherichia coli bacteria as much as 4737 CFU/g, which was soaked at the same concentration for 96-hour.
Analyzing of 2D resistivity data to determine the subsurface stratigraphy at Institut Teknologi Kalimantan (ITK) Balikpapan
Authors: Rahmania  , Arisalwadi M , Sastrawan F D , Sari D I 
Published: February 2021

Abstract
This research was conducted to identify subsurface stratigraphy at Institut Teknologi Kalimantan (ITK) area. The information of subsurface stratigraphy becomes more important for minimizing the effects of changes in soil structure. We run the Geoelectrical resistivity method using Wenner-array along four measurement lines. Field data measured consists of electrical current and potential difference to calculated apparent resistivity values. Then, the apparent resistivity data were inverted to obtained true resistivity values. The results showed that subsurface stratigraphy was composed of three main layers. The first layer was characterized by higher resistivity values ranging from 39 to more than 86 ohm-meters interpreted as topsoil. The lower range of resistivity values at the second layer was identified as clay with resistivity values from 9.36 to 39 ohm-meters, while the higher resistivity values ranging from 39 to 86 ohm-meters and marked by Brown to red colour below the surface at the third layer was identified as clay sandstone.
Seismic vulnerability analysis in Poso Distric
Authors: Rusydi M , Cyio M B , Rahmawati  , Ramlan  
Published: February 2021

Abstract
High seismic activity in Poso District is not supported by information related to earthquake hazard map with detailed scale. This information is very necessary for supporting the government’s efforts to reduce the risk of earthquake disasters. Therefore, this study aims to map earthquake-prone zones with detailed scale. The study was conducted by measuring Vs30 using a microtremor on each rock sample using the HVSR method, then these values were used as a reference in correcting the USGS Vs30 data, thus producing a VS30 distribution value, with an interval of 1 km. From the results of the study, it showed that based on the Vs30 ratio in Poso District, it obtained a ratio value > 0.5. This value indicates the difference between the results of microtremor measurements and USGS data which was not different significantly. However, some point showed different values to produce a classification of different types of material, thus affecting the distribution of seismic vulnerability. The results of seismic distribution analysis showed that middle lore has a high level of seismic vulnerability from 19 districts spread across Poso Regency
Spatial mapping of natural disaster at Palu Bay
Authors: Rahmawati  , Rusydi Muhammad , Widyastuti  
Published: February 2021

Abstract
Referring to data on natural disasters in three regions, namely Palu City and Donggala Regency, it shows that there were 3 natural disasters that occurred in the last 5 years, namely; landslides, earthquakes, tsunamis. The high level of disaster activity in the three regions is due to the geographical conditions in these two areas which are in the Palu koro fault line, with the morphology of the valley area. Handling of natural disaster management still leaves many problems, one of which is the absence of spatial information related to areas prone to natural disasters at the sub-district level,. The approach used is a spatial approach with an overlay method utilizing geographic information systems (GIS). The results showed that for landslides, the area around the bay is at a low to moderate level of vulnerability, while for the earthquake and tsunami it shows that the southern and eastern parts of the Palu bay are the areas that have the highest level of vulnerability.
Identification of potential liquefaction in Kabonena
Authors: Badaruddin  , Abdullah  , Priambudi M D , Rusli M , Labania H M D , Rugayya S , Asrafil  
Published: February 2021

Abstract
The research was conducted in Kabonena village, which aims to see the subsurface structure and the liquefaction potential. The research was conducted using the geoelectric resistivity method with the Wenner system. The parameters used are geological data, hydrogeology and formation values to obtain between the resistivity value and the lithology of the study area. Furthermore, by considering the geological, hydrogeological conditions and formation factor values, the specific resistance values for each layer are interpreted. The results obtained show that the layers with specific resistance values of 39.16 - 97.9 Ωm are dominated by water-saturated sand/gravel. The resistivity value above 97.9 - 200 Ωm is the layer of molasses and alluvium deposits/coastal deposits, and the resistance value above 200 Ωm is the layer of crushed granite and granodiorite. The existence of a subsurface structure like this, so that in Kelurahan Kabonena it is called a liquefaction event. The location has a layer of saturated air that points to the east with a depth of less than 24 meters.
Analysis of the microcapsule structure based on machine learning algorithm
Authors: Batchuluun Sukhbaatar , Matsune Hideki , Shiomori Koichiro , Bayanjargal Ochirkhuyag , Baasankhuu Tserenkhand 
Published: February 2021

AbstractFor the microcapsules preparation process, the mechanism is estimated by structure reformation during the preparation process since diameter and wall thickness drastically changed. Microstructures are recently studied by machine learning techniques. The Hough transformation algorithm is used by other researchers for the preparation of the microcapsules but it is difficult to determine the mechanism by using only a diameter change of the microcapsules. Therefore, one additional way to establish the mechanism is the analysis of the formation of the microcapsule structure. In this study, The Hough transformation algorithm was used for the image segmentation, the simple feature extractions were checked and the support vector machine and the k-nearest neighbors algorithm were used as classifiers in order to analyze the structure of the microcapsules which were prepared by solvent evaporation method from a solid in oil in water, S/O/W, emulsion system. The structural distribution was analyzed by the developed detection method. The microcapsules had a specific structural distribution which are monocore, multicore, and other aggregated structures. The structural distribution was changed by the preparation condition. The monocore structure was dominant by increasing in the amount of water soluble solid particles added in the organic phase.
Predicting and forecasting of time series models using cluster analysis
Authors: Setiawan I , Sumertajaya I M , Afendi F M 
Published: February 2021

Abstract
Time series model on multiple objects could be univariate and multivariate model. The more objects used in multivariate model would decrease precision of forecast for each object. One way to overcome this problem used univariate models for each object. However, univariate models for each object became inefficient in time. Therefore, clustering performed on objects so that model became efficient. The objective of this research is to study results of predicting and forecasting model with and without clustering. Model and forecasting used time series regression model on broad proportion of plant-disturbing organism attack and planting area of food crops in Indonesia. Clustering of time series data was same as clustering in general, but the distance and method should be able to accommodate time series data structure which was dynamic in time. Evaluation of prediction and forecast mean average percentage error (MAPE) show that forecast of model was performed with clustering as good as forecast of model for each object. However, prediction of model with clustering was not as good as the prediction of model for each object so that the prediction of broad proportion of plant-disturbing organism attack only served as an indicator of the arrival populations of plant-disturbing organism.
The effect of growing place on the oil quality and antioxidant activity of kelor (Moringa oleifera lamk) seed
Authors: Ibrahim N , Nuryanti S , Hasanuddin A , Zubair M S 
Published: February 2021

Abstract
Kelor (Moringa oleifera Lamk) seed is part of the moringa plant that contains vegetable oil and has benefits as cholesterol-lowering agent, coronary heart risk, and cosmetic additives. It can be also used as edible oil and biodiesel oil. This study aims to determine the effect of different growing places on the oil quality and antioxidant activity of Kelor (Moringa oleifera L) seed. The plant was obtained from three different growing places, namely Palu City, Sigi and Parigi Moutong regencies. The determination of the oil quality refers to the Indonesian National Standard (SNI) that includes specific gravity, moisture content, acid value, iodine value, peroxide value, and saponification value. The results showed that Kelor seed oil from Sigi Regency had better quality than other places as indicated by the specific gravity, peroxide value, acid value and saponification value that fulfil the SNI 01-3742-2002 requirements. It also showed the lowest antioxidant activity with an IC50 value of 2.93 mg/ml and the highest level of total phenolic and total flavonoids. This study encourages the application of Kelor seed oil from Sigi Regency as the best raw material for medicine and cosmetics.
Incubation period and agitation speed alter the activity of crude amylase produced by thermophilic bacteria isolated from Pulu Hotspring
Authors: Satrimafitrah P , Razak A R , Indasari  , Tamuntuan D , Irmawati Inda N , Mahfudz M. 
Published: February 2021

Abstract
The purpose of this study was to determine the optimum condition in yielding crude amylase enzymes with the highest activity produced by PL-16, a thermophilic bacteria isolated from Pulu hot spring. The study was carried out using a completely randomized design with a varied incubation time of 0, 6, 12,18, 24, 30, 36, 42, 48, 54, 60, 66, and 72 hours, and agitation speed of 60, 90, 120, 150, 180, and 200 rpm. The activity of extracted crude amylase enzyme was determined using the DNS method and bacterial growth by measuring its Optical Density (OD600). The results showed that optimum amylase activity was at 48 hours incubation time with OD of 2.823 and activity of 0.437 U/mL. Furthermore, agitation speed of 180 rpm produced the highest amylase activity of 0.498 U/mL with an OD of 2.435. Pearson correlation test exhibited a positive and considerable strength of association between enzyme activity and bacterial growth. Our crude amylase showed higher activity after optimizing its production condition with 48 hours incubation and agitation speed of 180 rpm.
Ethanolic extract of local sorghum seedcoat (Sorghum bicolor [L.] Moench) as a potential bacterial growth inhibitor
Authors: Inda N I , Mastura S , Satrimafitrah P 
Published: February 2021

Abstract
Research on the antibacterial activity of ethanol extract from seedcoat of local Sorghum (Sorghum bicolor [L.] Moench) against Staphylococcus aureus and Escherichia coli has been conducted. The purpose of this study was to determine the minimum inhibitory concentration of extract against both gram-positive and negative bacteria. The extraction method used in this study was a maceration method using ethanol as a solvent. Antibacterial activity test was carried out with several concentrations, namely 1 g/mL, 0.8 g/mL, 0.6 g/mL, 0.4 g/mL, 0.2 g/mL, 0.1 g/mL, 0.05 g/mL, 0.025 g/mL, and 0.01 g/mL. The results showed that the extract inhibited bacterial growth in a wide range of concentrations. The smallest inhibition was at a concentration of 0.05 g/mL with a clear zone diameter of 10.29 mm in Staphylococcus aureus and 11.70 mm in Escherichia coli. Ethanol extract of local Sorghum seedcoat exhibited a strong inhibition ability and probably a potential antibacterial agent source.
The comparison of Size-Specific Dose Estimate (SSDE) in chest CT examination calculated based on volumetric CT Dose Index (CTDIvol) reference phantom and Dose Length Product (DLP)
Authors: Binta Y I , Suryani S , Abdullah B 
Published: February 2021

Abstract
The radiation dose of X-ray radiation exposure that comes from a CT scan is not easy to determine, because a CT scan uses several beams of X-ray radiation for one scan. In addition, the X-ray exposure dose on the CT scan is not the sum of the X-ray radiation exposure doses from each beam. Therefore, the Size-SpecificDoseEstimate (SSDE) parameter is used, which means as the estimated radiation exposure dose received by the patient. The SSDE value is a function of the CTDIvol which is determined from the reference phantom or from the derived Dose Length Product (DLP) values. The CTDIvol value determined from the reference phantom has the same value for the weight interval of the patient, so that the patient gets the same dose of X-ray exposure even though the body size is different. The CTDIvol value determined by Dose Length Product (DLP) depends on the lateral length of the patient’s body. Because the lateral body length of each patient is different, the CTDIvol value will be different, so the SSDE value will vary more. The results showed different SSDE values for each patient according to body mass index.