bluuebunny/crossref_metadata_2025_split huggingface dataset:
Outcome of Very Low and Low Birth Weight Infants with Esophageal Atresia: Results of the Turkish Esophageal Atresia Registry
Authors: Oztan Mustafa O. , Soyer Tutku , Oztorun Can I. , Firinci Binali , Durakbaşa Çiğdem U. , Dokumcu Zafer , Gollu Gulnur , Akkoyun Ibrahim , Demirel Dilek , Karaman Ayşe , Ciftci Ilhan , Ilhan Huseyin , Parlak Ayse , Ozden Onder , Cömert Hatice S. Y. , Oral Akgun , Tekant Gonca , Kiyan Gursu , Erginel Başak , Guvenc Unal , Erdem Ali Onur , Erturk Nazile , Yildiz Abdullah 
Published: July 2020

Abstract
Introduction The data of the Turkish Esophageal Atresia Registry (TEAR) was evaluated to define the outcome of very low birth weight (VLBW) and low BW (LWB) infants with esophageal atresia (EA).
Materials and Methods The data registered by 24 centers between 2014 and 2018 were evaluated for demographic features, prenatal findings, associated anomalies, surgical treatment, and outcome. Patients were enrolled in three groups according to their BWs (VLBW <1,500 g), LWB = 1,500–2,500 g), and normal BW (NBW; >2,500 g).
Results Among the 389 cases, there were 37 patients (9.5%) in the VLBW group, 165 patients (42.4%) in the LBW group, and 187 patients (48.1%) in the NBW group. Prenatal diagnosis rates were similar among the three groups (29.7, 34.5, and 24.6%, respectively). The standard primary anastomosis was achieved at a significantly higher rate in NWB cases than in the other groups (p < 0.05). In patients with tracheoesophageal fistula (TEF), patients of the NBW group had significantly higher rates of full oral feedings, when compared with VLBW and LBW cases (p < 0.05). At the end of the first year, when we evaluate all patients, the number of cases with fistula recanalization and esophageal anastomotic strictures (AS) requiring esophageal dilatation was similar among the groups. The weight and height measurements at 6 months and 1 year of age of the survivors were similar in all the groups. The overall mortality rate was significantly higher in the VLBW and LBW groups, when compared with the NBW patients, even in patients with tension-free anastomosis (p < 0.05). The incidence of the associated anomalies was 90.6% in cases with mortality, which was significantly higher than in survivors (59.6%; p < 0.05). According to Spitz's classification, the survival rate was 87.1% in class I, 55.3% in class II, and 16.7% in class III. The most common causes of mortality were associated with cardiovascular diseases, pneumonia, and sepsis.
Conclusion The national data of TEAR demonstrates that the developmental and feeding parameters are better in NBW patients. Although VLBW patients have higher risk of developing fistula canalization than the LBW and NBW groups, long-term complications, such as anastomotic strictures, weight, and height values, after 1 year are similar in both groups. According to our results, associated anomalies and LBWs are still significant risk factors for mortality in cases with EA.
Salvage of the Failed Total Wrist Arthroplasty: A Systematic Review
Authors: Berber Onur , Gidwani Sam , Garagnani Lorenzo , Spiteri Michelle , Riley Nicholas , McNab Ian , Little Christopher 
Published: July 2020

AbstractBackground Although the performance of total wrist arthroplasty systems has improved, failure is encountered and is a major challenge to manage.Questions Does physical function improve with surgical management of the failed wrist arthroplasty? Is there an improvement in secondary outcome measures including pain, grip strength, and range of motion? What are the reasons for failure in primary total wrist arthroplasty? What are the complications associated with revision of the failed total wrist arthroplasty? What are the survival profiles of the different revision strategies?Methods A systematic review of available literature was performed. Studies were systematically assessed, and data extracted from suitable studies for review. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines were adhered to. The study protocol was modified from a previous protocol published on the PROSPERO database.Results Fourteen studies were identified considering 218 patients/214 index operations with a follow-up duration following revision surgery of 2 months to 21 years (silicone wrist arthroplasty—42 cases; nonsilicone wrist arthroplasty—172 cases). The functional outcome of revision surgery was infrequently recorded and documented with only short-term assessments undertaken. Complications were seen in 1:2 revision procedures, with re-revision surgeries required in 21.6% of revised primary nonsilicone arthroplasties. Re-revision rate following a revision arthrodesis was 21.4% (15/70 cases) compared with revision arthroplasty of 34.8% (32/92 cases). Revision arthrodesis nonunion rate was 17.5% (22 cases).Conclusion This review has confirmed the high level of surgical complexity and the likelihood of a complicated postoperative outcome when salvaging a failed wrist replacement.Level of Evidence This is a Level 3, systematic review study.
Impact of Age of Patient and Experience of Surgeon on the Outcome after Kasai Portoenterostomy: Can We Delay the Surgery?
Authors: Chan Kin Wai Edwin , Lee Kim Hung , Wong Hei Yi Vicky , Tsui Siu Yan Bess , Mou Jennifer Wai Cheung , Tam Yuk Him 
Published: July 2020

Abstract
Introduction Age of patient and experience of biliary atresia (BA) center are well-known factors associated with early jaundice clearance (EJC) after Kasai portoenterostomy (KPE) in infants with BA. This study focused on the impact of age and surgeon factor on the short-term outcome after KPE within a single center.
Materials and Methods Fifty-four consecutive infants (18 boys and 36 girls) who underwent KPE from January 2010 to January 2020 were reviewed. KPE was performed in the earliest available operative session once the initial work-up was completed. In group A (n = 41), KPE was performed by surgeon A. In group B (n = 13), KPE was performed by specialists under the supervision of surgeon B (who is the mentor of surgeon A) when surgeon A was not available for operation. The demographics of patients, the EJC (total bilirubin <20 μmol/L within 6 months of KPE), and 2-year native liver survival (NLS) between the two groups were studied.
Results The median age at operation was 52 days (range 26–135 days). The overall EJC rate and 2-year NLS were 85.2 and 89.4%, respectively. Group A (p = 0.015) and male gender (p = 0.029) were statistically associated with EJC but not the age at operation (p = 0.101). Group A was also statistically associated with superior 2-year NLS (p = 0.047).
Conclusion Balancing between the impact of age at operation and the experience of surgeon on the outcome after KPE, our result suggested that KPE may be deferred until a more experienced surgeon to operate.
EUS-Guided FNA: Tips and Tricks
Authors: Bansal Rinkesh Kumar , Puri Rajesh 
Published: July 2020

AbstractThe development of endoscopic ultrasound (EUS)-guided fine needle aspiration (FNA) technique has been proved to be a great armamentarium to gastroenterologists and other branches including surgery, oncology, hepatology, pulmonary medicine, and internal medicine. EUS-FNA is quite safe and allows tissue acquisition from difficult anatomical locations like retroperitoneum, pancreas, and mediastinum. The current review discusses basic techniques steps of EUS-FNA including tips and tricks. Also, false negative FNA and EUS-FNA in difficult locations are discussed. We also discussed about EUS-guided fine needle biopsy.
Detach CTS for active load balancing in 802.11 networks
Authors: Suherman S , Jasman R , Pinem M , Gunawan  
Published: July 2020

Abstract
Transmit power reduction is the most common algorithm to achieve load balancing in either 802.11 or cellular networks. The method does not require changes in the user terminal; however, the method requires access point (AP) to have a multi-level front-end power amplifier so that transmission power can be adjusted accordingly. Transmit power reduction also removes the quality of services that may be applied to some users. Such flaws may contradict the value-added services offered by certain access points or cellular base stations. This paper proposes a simple method to avoid power reduction in 802.11 networks. Load balancing is achieved by ordering disconnection for unwanted users by sending a detach clear to send (CTS) signal in response to a request to transmit (CTS) sent by users. Although it violates the standard Ethernet algorithm, it may be applicable in the future standard. By receiving detect CTS, the user is simply disconnected to existing AP and finding the alternative AP. Simulation evaluations show that the method successfully maintains the average throughput as well as maintains the possible prioritized users.
Preliminary Research Design on Sensor Data Gathering for Air Quality Text Generation
Authors: Aulia Indra , Hizriadi Ainul , Seniman  , Muhibuddin  
Published: July 2020

Abstract
Air pollution is one of the environmental problems faced by many countries (i.n. the developing countries). It often harms the health of people, plants, and animals as well as our environment. To decrease the risks, e ective and e cient technology for air quality monitoring is indispensable. In Indonesia, it is still limited in the case of the number of devices and the dissemination of air quality information. This paper describes the preliminary research design of air quality monitoring technology based on the Internet of Things (IoT) and Natural Language Generation (NLG) for solving these limitations. It de nes air quality knowledge in the form of a set of rules and presents the architecture design for data gathering and text generation. Data gathering uses the related sensors which are able to collect the values of parameters as air quality indicators. Then, the collected values are identi ed to be used for generating the textual information in Indonesian language to social media, such as twitter. So, in this research, the proposed solutions are able to solve the problems properly.
Simulation Analysis of Polymer Electrolyte Membrane Fuel Cell Using Aspen Plus
Authors: Sinurat F K , Sitorus T B , Bin Nur Taufik , Susilo H 
Published: July 2020

Abstract
We present a simulation of proton exchange membrane fuel cell (PEMFC) system to convert the chemical energy stored in hydrogen into electrical power. The PEMFC model was developed using Aspen Plus and then analyzed to find the electricity generated. In the PEMFC system simulated in this study, hydrogen gas enters the heat exchanger prior to entering the anode to increase its temperature up to 80 °C. Around 80% of hydrogen used during electrochemical reactions with the oxygen, which entered from the cathode side. The proton and electron of the hydrogen combine, react with the oxygen provided, and produce water and heat. Based on the analysis, the power generated by the PEMFC system is 0.23 kW with current density of 1 x 10−3 A/m2 and MEA area of 3 x 10−2 m2, and the number of cells in stack is 135 cells.
Social network extraction based on Web: 4. A framework
Authors: Nasution Mahyuddin K M , Azman Mohd Noah Shahrul 
Published: July 2020

Abstract
Social network extraction from information sources, as a research, requires the right steps. However, it is not enough, it need accurate description that explains the steps in one framework so that the flow of the extraction implementation information is well, as well as the extraction occurs systematically. In this paper, a framework for social network extraction has been outlined by involving several formulations and measurements as an explanation.
Methodology
Authors: Nasution Mahyuddin K M 
Published: July 2020

Abstract
Naturally, human do the search for truth in various ways. All of that becomes methodological, but not a methodology. The right way and produce truth by involving the principle of believing the truth, getting a way, and having a purpose. So, its not justification. Three basic principles of methodology are not enough. However, the methodology becomes the method science, it needs to be systematic that flows the truth logically, and needs a structure to form the truth logically. Thus, abstraction is helped by rules or formulations that describe the structure, at least from the point formation, as definitions, lemmas, propositions, theorems, or corollaries.
An Implementation of Backtracking Algorithm for Solving A Sudoku-Puzzle Based on Android
Authors: Herimanto  , Sitorus P , Zamzami E M 
Published: July 2020

Abstract
Sudoku is a pretty popular number game. The goal of this game is to fill a 9x9 matrix with unique numbers, and there should not be repeated numbers in each row, column, or block. This paper proposed a solution to solve Sudoku using the Backtracking Algorithm. This algorithm is quite efficient because it does not have to check all the possibilities that exist, but which leads to only the solution that will be processed, namely by pruning every element that does not lead to the solution. Thus the time required is quite efficient and suitable for use in reasonably complex numbers games like sudoku. By implementing the backtracking algorithm in the sudoku game, the complexity of the algorithm can be as large
θ
(n3).
Evaluation of working fluids for organic Rankine cycle power plant with Aspen plus
Authors: Ambarita H. , Sihombing H V 
Published: July 2020

Abstract
Power generation using Organic Rankine Cycle (ORC) was studied in this paper. A thermodynamic model was achieved in Aspen Plus environment and the highest output power and efficiency were obtained for on variance working fluids. The Organic Rankine Cycle (ORC) is analysed using commonly used working fluids for cycle use, they are R245fa (1,1,1,3,3-Pentafluoropropane), R11 (Trichlorofluoromethane), and R123 (2,2-Dichloro-1,1,1-trifluoroethane) . The results show that some of the effects of the pressure on the inlet turbine, and working fluids variances on the performance of the cycle. The output power turbine and efficiency of the system were simulated and discussed.
Analysis of Dijkstra’s Algorithm and A* Algorithm in Shortest Path Problem
Authors: Rachmawati Dian , Gustin Lysander 
Published: July 2020

Abstract
Finding the shortest path in direction effective is essential. To solve this shortest path problem, we usually using Dijkstra or A* algorithm. These two algorithms are often used in routing or road networks. This paper’s objective is to compare those two algorithms in solving this shortest path problem. In this research, Dijkstra and A* almost have the same performance when using it to solve town or regional scale maps, but A* is better when using it to solve a large scale map.
Literature Review : Implementation of Facial Recognition in Society
Authors: Zarkasyi M I , Hidayatullah M R , Zamzami E M 
Published: July 2020

Abstract
At one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past few years. Facial recognition technology (FRT) has emerged as an attractive solution to address many contemporary needs for identification and verification of identity claims. It brings together the promise of other biometric systems, which attempt to tie identity to individually distinctive features of the body, and the more familiar functionality of visual surveillance systems. This report develops a socio-political analysis that bridges the technical and social scientific literature on FRT and addresses the unique challenges and concerns that attend its development, evaluation, and specific operational uses, contests, and goals. It highlights the potential and limitations of the technology, noting those tasks for which it seems ready for deployment, those areas where performance obstacles may be overcome by future technological developments or sound operating procedures, and still other issues that appear intractable. Its concern with efficacy extends to ethical considerations. Face recognition technology may solve this problem since a face is undeniably connected to its owner except in the case of identical twins. It’s nontransferable. The system can then compare scans to records stored in a central or local database or ever on a smart card
Arduino UNO and Android Based Digital Lock Using Combination of Vigenere Cipher and XOR Cipher
Authors: Budiman MA , Tarigan JT , Winata AS 
Published: July 2020

Abstract
Data security becomes an important thing in the computer era nowadays, especially in digital lock. Because of easy to use, there is a lot of digital locks connected to Android smartphone. However, the security of digital lock is lower if commands and passwords exchange is unprotected. That is why algorithm combination concept is important to be applied. Vigenere Cipher and XOR Cipher algorithm combination is simple to be applied, where both are symmetric cryptography algorithm which has advantage in short calculation time, so the plaintext processing can run quickly. To implement the cryptography algorithm combination concept, a digital lock prototype is also needed. One of the best microcontroller for prototyping is Arduino UNO. It can communicate with other devices through Bluetooth connection especially Android smartphone if connected to Bluetooth module. The Arduino UNO based digital lock will communicate with Android smartphone via an application in the smartphone. It is found that Vigenere Cipher and XOR Cipher algorithm combination, and also other support algorithms can improve the secrecy of communication between devices in the digital lock system.
Virtual Pet Simulator Game Using Augmented Reality on Android Platform
Authors: Chahyana Joanna , Yesmaya Violitta 
Published: July 2020

Abstract
Augmented reality is one of the interactive technologies that can be used to help the user to easily interact with the system. The game application called AR Virtual Pet Simulator is a simulator game which uses Augmented Reality technology to display a virtual pet, for the purpose of enhancing the users’ experience. Users can also interact by using application to understand the daily behaviours of pets. Application development methods are carried out starting from gathering requirements, design, implementation, to testing and evaluation. Results from the end evaluation shows that the application was well-liked by users and it could help users in knowing how to take care of pets, but the experience of using the application is not the same as having a pet in the real world. Conclusion gathered from the research is that applications with virtual pets are not able to entirely replace real pets but are able to provide knowledge on taking care of pets. Where users cannot interact directly with pets.
Analysis and Comparison of Hough Transform Algorithms and Feature Detection to Find Available Parking Spaces
Authors: Rahman S , Ramli M , Arnia F , Muharar R , Luthfi M , Sundari S 
Published: July 2020

Abstract
Parking space is one of the most critical needs of people’s lives, especially in Indonesia. According to the Central Statistics Agency, vehicle growth in Indonesia in the last ten years is 9% per year. Meanwhile, parking needs are being eroded by settlements, shops, and public service buildings. Limited parking lots make it hard for drivers to find available parking spaces. When looking for a parking space, it was causing impacts such as traffic jams, air pollution, causing noise and panic. The intelligent parking system is the solution to this problem. This system can provide information on available parking slots. In this study, parking locations are marked with a circle. If a circle is visible, then a parking lot is available, and if not, then the parking location has been filled by the vehicle. Circle objects in images taken using the camera can be identified by the Hough transformation method or feature extraction. These two methods are compared to measure the accuracy and speed of the process. Experiments and observations on the performance of both methods show that both methods can recognize the location of the available parking slot. The feature extraction method has a better detection speed with an average processing time of 1.1 seconds. The Hough transformation algorithm has an average processing time of 4.1 seconds. Then it can be concluded that the feature extraction method is better applied to the smart parking system.
An Improved Precise Positioning Method for Intelligent Mine Construction
Authors: Chen Kang , Du Zhigang , Guo Lin , Kou Qiqi 
Published: July 2020

Abstract
Precise positioning plays an important role in the construction of intelligent coal mines. However, existing precise positioning methods often have problems with long positioning period, limited positioning capacity and low precision. To overcome these shortcomings, this paper proposes a time-division downlink time-difference-of-arrival (TD-D-TDOA) positioning method. In the proposed method, the base station first implements clock synchronization with the reference clock by direct or relay. Then the base station allocates the time for transmitting two positioning messages according to its serial number. Finally, the label uses these messages to obtain the TDOA and its location information. The proposed precise positioning method has the advantages of millisecond positioning cycle, self-position calculation, unlimited positioning capacity and high positioning accuracy. Moreover, the tag only needs to receive the location information broadcast by the base stations in the positioning process, which reduces the coupling degree between the tag and the location base station, as well as the cost of the tag hardware. Experimental results demonstrate that our method has a positioning accuracy of less than 20cm and a positioning frequency of up to 20 times per second, while also having high positioning stability.
Improving Data Quality in Crowdsourced Data for Indonesian Election Monitor: A Case Study in KawalPilpres
Authors: Gunawan F , Ruldeviyani Y 
Published: July 2020

Abstract
ICT has enabled democratic process to be more transparent and enabled citizens’ participation in the election process. However, public trust is a mandatory requirement for a good democratic transition. Participation in monitoring election process could be implemented as a crowdsourcing effort to improve public trust in the election result which in this article based on a case study of KawalPilpres to monitor 2019 Indonesian presidential election. Trust factor is a key success for monitoring effort. Therefore, data quality becomes necessity. Data quality is assessed using Loshin’s maturity assessment and analysed using Loshin’s improvement strategies. Based on our assessments, there are three top categories for improvements namely governance, expectations, and policies of data quality management.
User Experience in using VIVE Controller as a Controller in Anatomy Learning System in Virtual Reality Environment
Authors: Nainggolan F , Siregar B , Fahmi F 
Published: July 2020

Abstract
Anatomy is not only can be learned by reading a text book, but also by using an interactive system, such as virtual reality. In this paper, an anatomy learning system using VIVE Controller has been developed. User agreement survey and user satisfaction surveys are required to determine the interactivity level of VIVE Controller in the system. The result of this research shows that users agree that using VIVE Controller in anatomy learning system in virtual reality environment is very interactive with an average score of 4.33. The result also shows that users are satisfied using VIVE Controller in this system.