bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Impact of Away Rotations on the Ophthalmology Residency Match
Authors: Tso Hanna L. , Young Jason , Boente Charline S. , Yung Chi Wah 
Published: February 2021

Abstract
Background The ophthalmology residency match is highly competitive, and fourth-year medical students frequently complete away rotations at other institutions hoping to increase their chances of matching.
Objective The study aimed to determine the impact of away rotations on the ophthalmology residency selection process and to provide recommendations to faculty for counseling fourth-year medical students as they prepare for the ophthalmology match.
Methods A survey was sent in June 2020 to program directors (PDs), medical student educators (MSEs), and residents at 119 accredited ophthalmology residency programs via the Association of University Professors of Ophthalmology e-mail listserv. The 43 PDs and 38 MSEs who responded were asked questions about their views regarding away rotations and visiting students during the residency selection process. The 83 resident respondents were asked about their interview and match success after completing away rotations. Categorical variables were analyzed by Chi-square test.
Results The majority of PDs and MSEs typically recommend that fourth-year medical students complete away rotations (p = 0.022 and p = 0.194, respectively). The majority believe that an away rotation will increase the chance of the applicant matching with the host institution (p = 0.004 and p = 0.001, respectively). The vast majority of PDs were more likely to offer an interview to a visiting student compared with another equally qualified applicant (p < 0.001). However, only one-third of PDs were typically more likely to rank an away rotator higher on their rank list (p = 0.047). Two-thirds of residents completed at least one away rotation in medical school (mean = 1.7 rotations). The majority received interview invitations from at least some of their host institutions (p < 0.001). Approximately one-fifth ultimately matched at a host residency program (p < 0.001).
Conclusion The majority of ophthalmology PDs and MSEs surveyed recommend that fourth-year medical students complete away rotations and believe that these rotations will increase the chance of the applicant matching at a host institution. The PDs are more likely to offer an interview to a visiting student compared with another equally qualified applicant. For some programs, visiting students may also receive special consideration by being ranked higher on a program's rank list and being more likely to match.
Optimal Fluoroscopic Angulation to Determine Intercondylar Notch Violation during Pediatric Medial Patellofemoral Ligament Reconstruction
Authors: Knapik Derrick M. , McCarthy Conor F. , Drummond Ian , Liu Raymond W. , Gilmore Allison 
Published: February 2021

AbstractPrevious anatomic data has suggested that during pediatric medial patellofemoral ligament (MPFL) reconstruction, the femoral tunnel must be angled distally and anteriorly to avoid damage to the distal femoral physis and then intercondylar notch. The purpose of this study was to determine the optimal degree of fluoroscopic angulation necessary to radiographically determine the presence of intercondylar notch violation. Fourteen adult cadaveric human femora were disarticulated and under fluoroscopic guidance, Schöttle's point was identified. A 0.62-mm Kirschner wire was then drilled through the condyle to create minimal notch violation. The femur was then placed on a level radiolucent table and coronal plane radiographs angled from −15 to 60 degrees were obtained in 5-degree increments to determine the fluoroscopic angle at which intercondylar notch violation was most evident. Grading of optimal fluoroscopic angle between two authors found that violation of the notch was the best appreciated at a mean angle of 43 ± 15 degrees from neutral. Results from this study emphasize the importance of angling the beam to essentially obtain a notch view to assess for a breech.
Dynamic pricing under competition using reinforcement learning
Authors: Kastius Alexander , Schlosser Rainer 
Published: February 2021

AbstractDynamic pricing is considered a possibility to gain an advantage over competitors in modern online markets. The past advancements in Reinforcement Learning (RL) provided more capable algorithms that can be used to solve pricing problems. In this paper, we study the performance of Deep Q-Networks (DQN) and Soft Actor Critic (SAC) in different market models. We consider tractable duopoly settings, where optimal solutions derived by dynamic programming techniques can be used for verification, as well as oligopoly settings, which are usually intractable due to the curse of dimensionality. We find that both algorithms provide reasonable results, while SAC performs better than DQN. Moreover, we show that under certain conditions, RL algorithms can be forced into collusion by their competitors without direct communication.
Underwater real-time target detection based on key frame and model compression
Authors: Guo Wei , Zhang Youbo , Zhou Yue , Xu Gaofei , Li Guangwei 
Published: February 2021

Abstract
In order to improve the speed and keep high accuracy of UUVs object detection on embedded device. This paper proposes an acceleration strategy based on key frame extraction and model compression. Firstly, selecting shipwreck as target and creating a real-world underwater image dataset of the shipwreck. And this work applies both online and offline data augmentation to accelerate the model convergence and to improve the model generalization. Then, this paper builds a fusion algorithm with structural similarity, color histogram and image entropy to select the key frame of the captured video for removing the redundant information, and analyzing the reason for the complexity of the neural network and the method of model compression. Finally, this work cuts off unimportant structure of network based on channel and layer pruning to reduce model complexity and keeps the model with high accuracy by fine-tuning. The experiment shows the Billion Floating Operations of the compressed YOLOV4 model is reduced to 15.778. On the Nvidia Jetson TX2 embedded image processor, the average detection speed for video with 608 × 608 resolution can reach 15.12FPS. And the detection speed of the video composed of key frames is 2.98 times faster than the raw video.
Design of four-rotor autonomous target-dropping aircraft based on image processing
Authors: Li Ruihan 
Published: February 2021

Abstract
The aim of this study is to design and produce a quad-rotor autonomous target shooting aircraft based on STM32F407 microprocessor and OV7725 image acquisition system. Herein, the quaternion is defined by using Euler’s theorem, navigation coordinate system and carrier coordinate system. Taking STM32F407 master controller as the core, the control system of the aircraft is composed of, distance measuring and height setting module, six-axis motion sensor measurement module, three-axis magnetometer measurement module and camera unit trajectory tracking module. Then, four circuits of the flight control system were designed, including the main control circuit, attitude measurement circuit, throwing rake control circuit and image processing circuit. In addition, three algorithms related to aircraft were prepared, including attitude control cascade PID algorithm, height control algorithm and attitude solution algorithm, and an image processing software was designed. On this basis, the aircraft was built, and finally its flight attitude, height, fixed point, and hover were tested. The results showed that all the algorithms are correct, and the aircraft can successfully pitch, roll, yaw, recognize image trajectory, and automatically drop materials and cruise.
Combining sources from CVE and CNNVD: Data analysis in information security vulnerabilities
Authors: Jin Ruiying , Nan Jing 
Published: February 2021

Abstract
The information technology level of China continues to improve, and various industries are digitalized in different degrees. However, the development of the network has correspondingly brought the trouble of loopholes, which have caused mass economic losses to many enterprises. In the era of big data, it is necessary to understand the characteristics of the ever-emerging vulnerabilities. In this study, we used descriptive statistics and programming techniques to analyze more than 140,000 vulnerability records from CVE and CNNVD. We visualize the development trend of vulnerabilities through descriptive statistics and summarized the characteristics of vulnerabilities in products from manufacturers of different scales. The result shows that large companies usually face more and severer loopholes. Then, multivariate regression is conducted to explore the relationship between vulnerability type, threat type and hazard level. K-means clustering method is employed to select and extract features based on the description paragraphs of vulnerabilities. Finally, we categorize the loopholes according to different patterns, so as to find a breakthrough point for a quicker solution to new vulnerabilities with the existing classified database. The combined sources are proved to be useful for clustering analysis.
Distribution of the benefits of agricultural supply chain cooperation based on interval-valued least-squares pre-nucleolus solutions
Authors: Zhou Fang , Zhu Chaozhi 
Published: February 2021

Abstract
Fair and reasonable profit distribution is the key to the long-term sustainability of agricultural supply chain cooperation alliances, helping to improve cooperation efficiency and increase profitability, which is a typical fuzzy cooperative game problem. We study the cooperative income distribution of the agricultural product supply chain. Based on the idea of least square, interval valued least square pre-nucleolus solution method is adopted and applied to specific cases. The results show that the algorithm of interval valued least squares pre-nucleolus solution is a more reasonable cooperative income allocation method for agricultural product supply chain. The method considers the principle of minimum dissatisfaction, reduces the fuzziness and uncertainty, and improves the enthusiasm of all participants in the agricultural product supply chain.
Research on the business model of distributed power trading based on blockchain technology
Authors: Lei Yadie , Liu Tianqin , Zhu Hongying 
Published: February 2021

Abstract
With the power system reform deepening, the distributed power trading in the market is prominent. Exploring the business model of distributed power trading has become an important issue to perfect the distributed power trading market. Firstly, the paper describes the current situation and the characteristics of the distributed power trading, summarizes the same characteristics between the distributed power trading and blockchain. Secondly, the paper analyses the interested participant of distributed power trading, clarify the value target of relevant participants, and then analyses the application of blockchain technology in distributed power trading through the literature method. Finally, the paper proposes to build a public service platform for distributed power trading based on blockchain technology, improves the principle of distributed power trading, standardizes the business trading process of distributed power trading, and then forms a kind of distributed power trading business model with multiple subjects participating in the competition. Furthermore, it can maximize the interests of the main participants and promote the distributed power trading fairer and more open.
Computational Study of The Stability of Turbulent Hydrogen Jet Flames with Methane Addition
Authors: Jaafar Syahirah Khaliesah , Hamid Mahar Diana 
Published: February 2021

Abstract
As the world predominately relies on fossil fuels to meet the current energy demands, the increasing consumption of it negatively impacts the environment. Thus, among constant search of a cleaner alternative fuel, hydrogen offers the greatest potential benefits in terms of energy supply and environmental impacts. However, hydrogen combustion is challenged by the difficulties in its production, storage, and end-use. Therefore, another method to enhance hydrogen combustion is to use hydrogen with methane addition as fuel. This study presents the effect of methane addition on the stability of hydrogen-methane flames by performing numerical analysis. In this study, the stability parameters such as lift-off height, lift-off velocity and blow-out velocity of hydrogen-methane jet flames were tested in three different mixing configurations. The first was to inject pure methane and pure hydrogen flames to form a jet flame. The second was to premix hydrogen and methane to form a jet flame. The third was to inject methane as an annular jet with hydrogen as the centre. All three different mixing configurations shows different results in terms of its stability parameters. From the first configuration, the lift-off height of pure methane is higher than pure hydrogen. From the second configuration, as methane concentration increases, the lift-off height increases but the lift-off velocity decreases. From the third configuration, the lift-off height highly depends on the velocity of annular jet flow but weakly depends on the central hydrogen jet flow. Generally, for all the mixing configurations, the lift-off height increases linearly with jet exit velocity.
Derivation of high-resolution orthophoto map from multirotor drone survey for application in infrastructure management
Authors: Mohamad NA , Azmy N , Mohamed Yusof L , Wahap M S 
Published: February 2021

Abstract
An orthophoto is a geometrically corrected aerial image that can be used in the same approach as map. It provides various geospatial information and therefore plays an important role in infrastructure management. This paper describes the methodology of an aerial survey using a multirotor drone and the processing of aerial images acquired from the survey to produce an orthophoto map. The survey work was carried out using Zenmuse X4S photogrammetric camera controlled by an autopilot multirotor drone at 200m above the ground. Optimal flight path for the autonomous mission was created and organized using the Map Pilot software. Five ground control points were laid within the survey area and their locations were determined using a real-time kinematic global navigation satellite system. Aerial images acquired from the survey were processed with the Pix4Dmapper photogrammetry software. The photogrammetric processing generated a 6 cm-resolution orthophoto map. The presented work demonstrates the practicality of multirotor drone survey and intelligent image processing for non-professionals in deriving high-resolution orthophoto map for application in infrastructure management.
Optimal model choice using AIC Method and Naive Bayes Classification
Authors: Mai Dam Sao , Hai Phan Hong , Khoi Bui Huy 
Published: February 2021

Abstract
The paper purposes to evaluate the optimal model choice of trademark, nutrition, price, packaging design, product flavor, utility, convenience, promotion, and safety of the purchasing decision in Vietnam. The method was implemented through quantitative research. Data was collected Vietnam consumers who are living in Ho Chi Minh City, usually eat products from the soursop. We used R 4.0.2 for analyzing statistics. The research model was suggested from the studies of the product purchasing decisions. We used R 4.0.2 for analyzing statistics. The results of this study indicate that the product flavor, safety, nutrition, and convenience had an important and positive effect on purchasing decisions the products from the soursop is 37.45%. Trademark, price, packaging design, utility, and promotion are not related to the purchasing decision. Implications were giving the necessity to develop the soursop trees to boost the economy in Soc Trang, Vietnam. Previous studies revealed that using linear regression. This study uses the optimal choice by the AIC method.
The application of successive overrelaxation method for the solution of linearized half-sweep finite difference approximation to two-dimensional porous medium equation
Authors: Lung Jackel Chew Vui , Sulaiman Jumat , Sunarto Andang 
Published: February 2021

Abstract
Successive overrelaxation or S.O.R. method is a widely known parameter-based iterative method that can regulate a large and sparse system of equations so that the number of iterations required to solve the system can be reduced. Many researchers have applied the S.O.R. method to get the solution to the mathematical problem efficiently. This paper extends the application of the S.O.R. method to solve one of the nonlinear partial differential equation, which is the two-dimensional porous medium equation. The S.O.R. method is incorporated into an iterative method that is formulated based on a half-sweep finite difference approximation, and the Newton-type linearization solves the nonlinear term that presents in the equation. The numerical experiment that uses this innovative numerical method to solve several two-dimensional porous medium equation problems shows significant improvement to the percentage of reduction in the number of iterations and computation time.
Mapping study using the unsupervised learning clustering approach
Authors: Azis Nur , Ali Yusmar , Subekti Rino , Junianto Pilifus , Diner Lispridona , Suhendra S , Aisyah Siti , Windarto Agus Perdana 
Published: February 2021

Abstract
The aim of this research is to analyze the number of criminal cases in Indonesia by utilizing unsupervised learning techniques. The unsupervised learning technique used is data mining by mapping clusters of regions in Indonesia. Sources of data were obtained from the Operations Control Bureau, National Police Headquarters of the Republic of Indonesia through processed data from the Central Statistics Agency (abbreviated as BPS) with data url: https://www.bps.go.id. The data mining method used to map the form of calcter is k-medoid. The data used is data on the number of crimes according to the regional police (2017-2019) which consists of 34 records. The attribute used is the number of crimes in the past three years based on the regional police for each province. The mapping label used is the high cluster (D1) and the low cluster (D2) on the number of criminal acts in Indonesia. The mapping analysis process uses the help of Rapid Miner software. In determining the amount of calcter (k = 2) is done using the Davies Bouldin Index (DBI) parameter with a value of 0.876 (the smaller the better). The results showed that six provinces were in the high cluster (D1) and twenty-eight provinces were in the low cluster (D2). The final centroid in each cluster is 16,008; 21,498; 21,616 (cluster_0 / D1) and 6,994; 7,311; 6,785 (cluster_1 / D2). The six provinces in the high cluster of criminal cases are North Sumatra, South Sumatra, Metro Jaya, West Java, East Java and South Sulawesi. The results of the research are expected to provide information for the government to reduce the number of criminal acts in Indonesia based on the number of clusters that exist.
Applying flower venn diagram for presenting database
Authors: Herlinda  , Bramantia Agi Candra , Kustian Nunu , Khasanah  , Ambarsari Erlin Windia 
Published: February 2021

Abstract
The Venn Diagram helps obtain information from several cases. Subsequently, we proposed a Flower Venn Diagram for tables organized and straightforward to present a Database. Flowers usually encountered anatomies such as petals, pistil (stigma, style, ovary), stamen (anther, filament), sepal, ovule, receptacle, and stalk. However, Flower Venn Diagram only takes two parts, namely petals and receptacle. The receptacle is a container centralized as tables link, tables itself referred to as petals. To construct a Flower Venn Diagram, it needs keys that have influenced for connecting petals and receptacle. However, when applied to SQL, we found that the Join clause was created sequentially for a Flower Venn Diagram establishment. It different when we used the Where clause; it constructs directly. When we add more another Flower Venn Diagram, we found that more complex and patterned. Therefore, All fields are conveniently searchable. Nevertheless, it needs to investigate further whether the data in the Diagram effectively
Android-Based application system for monitoring baby’s growth and development
Authors: Utomo Bedjo , Hamzah Torib , Soetjiatie Liliek , Mudjiono Urip 
Published: February 2021

Abstract
The use of Growth Chart (Kartu Menuju Sehat) all this time was conducted at Posyandu (Integrated Health Service Posts) for monitoring baby’s growth and development is not effective and efficient anymore since the cadres at Posyandu only record the baby’s height and weight that does not determine the nutritional status yet. Several studies on information technology to decrease the human error factors and optimum data storage has been widely developed via some applications, such as web server-based and android-based applications. This study aimed at developing an android-based application system of nutritional status assessment (NSA) for monitoring a baby’s growth and development using a weight-for-age index, weight-for-height index, height-for-age index. The method for developing this android-based application was using supporting devices, such as Android Studio and Visual Studio Code, as the Integrated Development Environment (IDE) and Flutter application as a unit of interface development (UI) and the development of database-driven applications, such as XAMPP software as a bundle for a web server, (Apache) and a database system (MySQL). The result of the study on designing an android-based application of nutritional status assessment at Posyandu could identify the menu of baby’s nutritional status assessment and the database for digital data storage. Furthermore, all in all, the use of this application can perform based on the instruction and be used for baby’s nutritional assessment at Posyandu. For further development, this application can be used for data synchronization in the programs of Posyandu at Public Health Centers.
Android Application for Crime Prevention with GPS Integrated Technology
Authors: Munandar Musthafa Haris , Nasution Ade Parlaungan , Kusno  , Indra Kumalasari M 
Published: February 2021

Abstract
Vigilance is a top priority in carrying out daily activities considering the number of various crimes that arise due to the increasingly rampant social conflicts regardless of economic class. During 2019, the crime rate in the Labuhanbatu police area (Labuhanbatu, Labuhanbatu Selatan, Labuhanbatu Utara) increased by approximately 10 percent from the previous year, and is still dominated by criminal theft with ballast, motor vehicle theft and drug cases, as for the case data in 2018 there were 4,412 cases and in 2019 4,663 cases. Based on the case, the researcher wants to help the community and the police in preventing crime, especially in Labuhanbatu. The research method used is descriptive method that is research based on actual data by comparing theories and then drawing conclusions. This research will create an Android-based application that helps the community and the police in preventing or overcoming crime. This crime alarm application makes it easy for people who use when a crime occurs because it can be accessed directly on the phone and help the police in handling crime.