bluuebunny/crossref_metadata_2025_split huggingface dataset:
The German–Austrian S3 Guideline “Cardiogenic Shock Due to Myocardial Infarction: Diagnosis, Monitoring, and Treatment”
Authors: Pilarczyk Kevin , Werdan Karl , Russ Martin , Thiele Holger , Michels Guido , Boeken Udo , Thielmann Matthias 
Published: December 2020

AbstractDespite advances in the treatment of acute myocardial infarction with subsequent mortality reduction, which are mainly caused by the early timing of revascularization, cardiogenic shock still remains the leading cause of death with mortality rates still approaching 40 to 50%. Cardiogenic shock is characterized by a multiorgan dysfunction syndrome, often complicated by a systemic inflammatory response syndrome that affects the outcome more than the reduction of the cardiac contractile function. However, both European and American guidelines on myocardial infarction focus on interventional or surgical aspects only. Therefore, experts from eight German and Austrian specialty societies including the German Society for Thoracic and Cardiovascular Surgery published the German–Austrian S3 guideline “cardiogenic shock due to myocardial infarction: diagnosis, monitoring, and treatment” to provide evidence-based recommendations for the diagnosis and treatment of infarction-related cardiogenic shock in 2010 covering the topics of early revascularization, revascularization techniques, intensive care unit treatment including ventilation, transfusion regimens, adjunctive medical therapy, and mechanical support devices. Within the last 3 years, this guideline was updated as some major recommendations were outdated, or new evidence had been found. This review will therefore outline the management of patients with cardiogenic shock complicating acute myocardial infarction according to the updated guideline with a major focus on evidence-based recommendations which have been found relevant for cardiac surgery.
25 Years' Experience with Redo Operations in Cardiac Surgery—Third-Time Sternotomy Procedures
Authors: Rupprecht Leopold , Schopka Simon , Keyser Andreas , Lunz Dirk , Sossalla Samuel , Hilker Michael , Schmid Christof 
Published: December 2020

Abstract
Background Over the years, open heart surgery has become more complex, and especially reoperative surgery, more demanding. The risk of third-time or more sternotomy procedures is unclear.
Methods We reviewed our institutional experience of 25 years based on two generations of cardiac surgeons in a German university medical center to document frequency, outcome, and complications of the various types of open heart procedures.
Results Overall, we included 104 patients with a mean age of 64 ± 13 years. The EuroSCORE II (European System for Cardiac Operative Risk Evaluation) calculated an average mortality risk of 15.7 ± 15.4%. Subgroup comparison of isolated coronary artery bypass grafting (CABG), aortic valve replacement, and mitral valve replacement procedures did not delineate significantly different risk profiles except for the incidence of acute myocardial infarction, which was present in every second patient (53.3%) scheduled for CABG surgery. The time interval to previous surgery was 4.7 ± 6.3 years on average. Most frequent surgical procedures were valve operations, which were accomplished in 72 patients (69.2%), whereas coronary bypass surgery was performed in 23 patients (22.1%) only. Combined procedures were performed in 27 patients. Complex aortic arch replacement with a frozen elephant trunk procedure was necessary in six patients. Overall, 30-day survival was 81.7%.
Conclusion In conclusion, third-time and more sternotomy procedures offer acceptable outcome and should therefore be considered in appropriate patients.
Interpregnancy Body Mass Index Change and Risk of Intrapartum Cesarean Delivery
Authors: Kawakita Tetsuya , Franco Stephanie , Ghofranian Atoosa , Thomas Alexandra , Landy Helain J. 
Published: December 2020

Objective This study aimed to examine the association between interpregnancy body mass index (BMI, kg/m2) change and intrapartum cesarean delivery in multiparous women without a history of cesarean delivery.
Study Design We conducted a retrospective cohort study of all women who had more than one singleton pregnancy at 23 weeks' gestation or greater at MedStar Washington Hospital Center from January 2009 to June 2018. We excluded women who had a history of cesarean delivery, prelabor cesarean delivery, and contraindications for vaginal delivery. Interpregnancy BMI change was calculated by the change of early pregnancy BMI measured in the office. Women were categorized according to the interpregnancy BMI change (BMI loss more than 2 kg/m2, BMI change ± 2 kg/m2, and BMI gain more than 2 kg/m2). The primary outcome was an intrapartum cesarean delivery. Multivariable logistic regression was performed to calculate adjusted odds ratio (aOR) with 95% confidence interval (CI) after adjusting for predefined covariates.
Results Of 2,168 women who were analyzed, 258 (12%), 1,192 (55%), and 718 (33%) had interpregnancy BMI loss more than 2 kg/m2, BMI change ± 2 kg/m2, and BMI gain more than 2 kg/m2, respectively. Women with BMI gain more than 2 kg/m2 compared with those with BMI change ± 2 kg/m2 had increased odds of intrapartum cesarean delivery (7.4 vs. 4.5%; aOR: 1.78; 95% CI: 1.10–2.86) and cesarean delivery for arrest disorders (3.1 vs. 1.1%; aOR: 3.06; 95% CI: 1.30–7.15). Women with BMI loss more than 2 kg/m2 compared with those with BMI change ± 2 kg/m2 had similar rates of cesarean delivery.
Conclusion Compared with interpregnancy BMI change ± 2 kg/m2, interpregnancy BMI gain 2 kg/m2 was associated with increased odds of intrapartum cesarean delivery.
Key Points
Facile preparation of hierarchical micro-nano FeF3·0.33H2O by a one-pot method with dual surfactants
Authors: Zeng Chaozhi , Chen Fengling , Ye Qing , Guo Qiang , Li Chaobo , Huang Chun 
Published: December 2020

Abstract
To prepare a hierarchical micro-nano structure FeF3·0.33H2O simply and economically, a one-pot method with dual surfactants was used. Scanning electron microscopy and a Fourier transformation infrared spectrometer revealed that polyvinyl pyrrolidone (PVP) regulates the morphology of the material, while cetyltrimethylammonium bromide (CTAB) can reshape FF@PVP, it can not only remove PVP at room temperature, but also obtain a hierarchical micro-nano structure. The electrochemical results show that the hierarchical micro-nano structure FF(1.5CTAB 0.5PVP) has the best electrochemical performance. It maintained a high specific capacity of 109.4 mAh g−1 after 100 cycles at 1 C. In particular, under the ultra-high rate discharge of 20 C, the ultra-high specific discharge capacity of 66.4 mAh g−1 was reached. The FF(1.5CTAB 0.5PVP)’s excellent electrochemical performance is mainly due to a large contact area between the electrolyte and active materials.
Dynamic Traffic grooming in hybrid elastic optical and WiMAX networks
Authors: Naik Deepa , Nikita  , De Tanmay 
Published: December 2020

Abstract
Designing low cost scalable networks is driven by increased internet traffic and high bandwidth demand. Optical networks combined with WiMAX forming a hybrid network is one such structure. The existing Wavelength Division Multiplexed Passive Optical Networks suffer from huge bandwidth wastage when the demands are very small compared to the channel capacity. To overcome this drawback, we have replaced passive optical network with an elastic optical network. The routing and resource allocation algorithms are formulated for this hybrid network. Our proposed algorithms efficiently utilize channel capacity and network resources.
Awareness of Online Learning of Undergraduates during COVID 19 with special reference to South Eastern University of Sri Lanka
Authors: Nafrees ACM. , Roshan AMF. , Baanu AS. Nuzla , Nihma M.N. Fathima , Shibly FHA. 
Published: December 2020

Abstract
During this COVID 19 pandemic situation, all sectors including education is also conducting its services via online. Most of the undergraduate in Sri Lanka are very familiar with class room traditional learning process. This paradigm shift has caused advantages and disadvantages in their education activities. A study on awareness of online learning of undergraduate is very much important to measure their present performances, finding pitfalls and draft online learning policies and guidelines for a successful learning environment. This research paper involved both Quantitative and Qualitative methods; where these two methods were used to determine the factors of awareness of students about online learning among the undergraduates of the South Eastern University of Sri Lanka (SEUSL). There were around 400 questionnaires were sent to the students via WhatsApp and received 310 responses that can be used for this study. Students mentioned that they were facing the internet connectivity issues (40.2%) during this COVID-19 lockdown period. Most of the students pointed out that their monthly expenditure (69.4%) and internet bill (48.5%) have increased due to this online learning system. More than 50% of the students were happy with online education during this lockdown. Only 19.6% of them preferred the offline learning. Most of the students already had the experience in Zoom (51.2%) but, they preferred to use WebEx for their online education due to the user friendliness of WebEx. It is recommended to develop any virtual reality applications to conduct practical sessions. Also, universities can conduct online training programs about online education tools. Furthermore, government should consider to provide internet connection with free of charge to the students also internet providers should analyses the coverage issues in the rural areas. Furthermore, researcher can conduct survey about students’ perception and expectation about online learning in future.
AI in Video Analysis, Production and Streaming Delivery
Authors: Jayanthiladevi A. , Raj Arun Gnana , Narmadha R , Chandran Sajin , Shaju Sai , Krishna Prasad K 
Published: December 2020

Abstract
Video technologies evolve steadily with the evolution of machine learning and artificial intelligence which use cloud platform and video transcoding for better video production, delivery and live streaming. AI has profound effect on media and film industry, from content delivery to viewer’s experience. AI serves the richer and realistic experiences in personalization of user experience for video production and analysis process. AI changes the fact of manual tasks and facilitates deep content indexing. Quality assessment becomes easier when AI scrutinizes the content. Personal and interactive video provides new delightful viewing experiences. AI generates new level of interactions at scene by dichotomizing the videos and builds more practical access methods within the content.
Nscanner: Vulnerabilities Detection Tool for Web Application
Authors: Surian R. Utaya , Rahman Nor Azlina Abd , Nathan Yogeswaran 
Published: December 2020

Abstract
Internet has been dominating the world nearly a decade. Web application is known to be the most widespread platform of the internet especially when it comes to share resources, e-commerce services, education and business platforms. Since the usage of web applications are increasing dramatically, it’s becoming more vulnerable for security attacks. Each year, organizations facing many security attacks towards their web applications. Although many security practices and mitigations have been applying in web application, however there are still some security loophole issues can be found in web application. For instance, these loopholes can be referred as lack of secure coding (standards) implemented in web application, lack of formal security training approach for web developers and improper security testing for their web application. Besides, social engineering attacks also tremendously increasing each year. Many organizations were compromised through phishing attacks due to lack of awareness among users (employees). As a solution to overcome the issues, a research project will be carried out to implement a system called Nscanner to detect Structured Query Language injection (SQLi) and Cross-Site Scripting (XSS) vulnerabilities for web application. Moreover, the developer also will design a malware detection feature based on machine learning approach to detect malware found in attachments from emails in order to prevent malware phishing attacks.
A Comparative Study of MPPT and PWM Solar Charge Controllers and their Integrated System
Authors: Acharya P. Sridhar , Aithal P. S. 
Published: December 2020

Abstract
The most popular renewable energy system today which is getting implemented is the solar energy system. The reason is that solar energy can be implemented at an individual house or industry level fulfilling the small energy requirements and also at large scale fulfilling the commercial requirements in megawatts. In most cases, solar energy is used to store the energy in battery backup along with the energy utilization to the load. The energy storage needs a variation in the flow of current as required and a constant potential difference between the two terminals. But the solar panel generates a current flow as well as the potential difference purely depending on the sunlight. To convert the solar energy generation to the required format different types of charge controllers used. There are various methods of charge controllers which will convert the solar energy into the format that is required to the storage devices. Among them, the most popular charge controllers are PWM based as well as MPPT technology based. This paper highlights the benefits of PWM and MPPT technology. The paper also highlights the differences between the two types and gives a conceptual model of integration of both MPPT as well as the PWM solar charge controllers. The conceptual model shows how to balance the storage backup as well as the load so as to utilize the complete solar energy thus produced. The merits and demerits of the integrated system are also discussed.
Prediction of Customer Purchase Intention Using Linear Support Vector Machine in Digital Marketing
Authors: Saranya G. , Gopinath N. , Geetha G. , Meenakshi K. , Nithya M. 
Published: December 2020

Abstract
Digital marketing is taken into account the well-liked method comparing to traditional marketing. It can be used by both researchers and academicians for social media marketing and to predict the customers purchase intention. The Proposed work revolves around some valuable information and processes in accordance to the behavior of customer during the online purchase. Business owners, scientists, researchers all post their ads, details on the Web so that they can be linked to owners quickly and easily by web scrap searching on searchable product websites to gain a lot of data from websites. Details on websites are stored in an unstructured manner. To avoid this issue, Web Scraping helps to gather unstructured content and turn it into a structured type that can be used for further study. Hence, customer price and rating of product evaluation and prediction has become an important research area. The analysis is done by Support Vector Machine (SVM-Linear) to gather several information and provide variation analysis. The major goal remains to investigate and analyze the extracted dataset using ML oriented algorithms with best accuracy possible. The analysis has a proper path to sentimental analysis of parameters in accordance to the ratings and price of the product to find proper accurate calculations.
AP∼Diet: An Online Healthy Food System for Higher Education Institution
Authors: Nundloll Jayshinee Devi , Ramachandiran Chandra Reka 
Published: December 2020

Abstract
With emerging technologies, online food ordering and delivery services are growing at a rapid pace due to advancement in technologies and changing customer behavior. Consumer’s response to the Internet has developed opportunities for many businesses, ranging from small to large corporations in Malaysia. Online banking has given businesses opportunities to expand their online services including online food ordering and delivery services. Online food ordering meets the needs of busy individuals with a hectic and bustling lifestyle by placing their order online through their smartphones, tablets or laptops and receive delivery within a few minutes to their doorsteps. However, there is a lack of platform offering healthy food and especially for those following a specific diet. With busy schedules, most students find themselves ordering junk food online or cannot find the proper meals online according to their specific diet. This research paper proposes an online healthy food ordering and delivery system called AP∼Diet for Higher Education Institution to provide students and staffs with healthy food options according to different diets. Extreme programming methodology will be used to develop the online ordering and delivery system. The findings indicated that the proposed system is an effective initiative to promote healthy lifestyles and proper eating habits for students and staffs of Higher Education Institution using the enhanced web service.
Production of X-RAYS using X-RAY Tube
Authors: Prabhu Sangeetha , Naveen Divya Kumari , Bangera Sandhya , Subrahmanya Bhat B 
Published: December 2020

Abstract
X-rays are usually the most common form of electric magnetic radiation. Technological developments in imaging have resulted in increasingly powerful and guided X-ray rays, and also growing use of visible light in adolescence microbial tissues and structural elements of materials like concrete. Since its discovery in 1895 X-ray has been commonly used in medication and some areas of technology, science and engineering. The X-ray tube is an essential component of each X-ray union, and in its early stages scientists and doctors utilized gas ion tubing. X-rays are generating because fast-moving electrons suddenly decelerate when they collision with the target anode and interact with it. Therefore, x-ray tube absorbs and dissipates a large heat charge in order to achieve adequate radiation output for digital radiology influencing the structure and function of a x-ray source. An x-ray tube’s key components include electrode and counter electrode frames, rotor and stator, and tube cover. The X-rays generated have waveform features similar to other electromagnetic waves. As x-rays come across matter, the small wavelength of radiation defines their property. Most of the materials are transparent to the x-ray and radiation will not transmit lead and other dense materials. Throughout this paper, we discuss X-ray machine, characteristics and features of x-ray, X-ray source modules, x-ray applications in a broad range of domains to discuss x-ray background, manufacturing and x-ray identification.
Astute Remedy for Autism “Developing an Interactive Real Time Application Along With a Hardware Product to Help Youngters With Autism”
Authors: Lalitha V. , Deepa A. , Nithya M. , Samundeswari S. 
Published: December 2020

Abstract
The general terms of complex disorders of brain development are Autism spectrum disorder (ASD) and autism. Difficulties in social interaction, verbal and nonverbal communication and repetitive behaviors are characteristics of this disorders. So an interactive application is proposed which will help an autistic child in his or her speech ability along with the verbal communication ability. A complete guide has been prepared to help the caretaker in curing of autism. Also doctors can be contacted whenever needed through the contact numbers specified according to the location of the patient. As children loves to learn new things visually we developed a real time pictographic images to teach them about the known things in their surroundings. Moreover, the child will also be taught about small sentences along with the basic mathematics. Their progress can be evaluated through the module.
Expense Manager Application
Authors: Velmurugan A , Albert Mayan J , Niranjana P , Francis Richard 
Published: December 2020

Abstract
Mobile applications are top in user convenience and have overpassed the web applications in terms of popularity and usability. There are variousmobile applications that provide solutions to manage personal and group expense but not many of them provide a comprehensive view of both cases. In this paper, we develop a mobile application developed for the android platform that keeps record of user personal expenses, his/her contribution in group expenditures, top investment options, view of the current stock market, read authenticated financial news and grab the best ongoing offers in the market in popular categories. The proposed application would eliminate messy sticky notes, spreadsheets confusion and data handling inconsistency problems while offering the best overview of your expenses. With our application can manage their expenses and decide on their budget more effectively.
Road Safety Ratings for Selected Accident-Prone Sections in Urban Areas
Authors: Bansal Ujjwal , Kumar Sumit , Patil Vilas , K Vikas , Durga Prashanth L , M Vikas 
Published: December 2020

Abstract
This study carries out a detailed analysis of Road Safety conditions at different junctions in Bengaluru. This study takes into account various factors both from Highway Engineering and Traffic Engineering. These factors govern the safety features of the roads. The factors include both the road attributes and the traffic data from various locations of which a detailed analysis is carried out.
The project proceeds with a detailed data collection and analysis of the collected data using an analytical model designed by International Road Assessment Programme (iRAP). This model uses the data collection and analysis technique to generate a Star Rating System (SRS) which is effective in keeping a track of the Road safety features. The system is suitable for all types of road users in terms of their safety and is destined to reduce road accidents. This study is very much important to know the basic flaws in the structure as well as in traffic management in order to improve the traffic facilities in India.
Mechanical Properties of Concrete with Bottom Ash as Partial Replacement of Fine Aggregate
Authors: Solai Mathi S. , Johnpaul V. , Riyas PR. 
Published: December 2020

Abstract
The fine aggregate is one of the important constituent in preparing concrete. Nowadays, fine aggregate is not fond in abundant quantity and so many replacements were done for river sand like crusher sand, M-sand, bottom ash etc. In this study the replacement is done partially for the fine aggregate with bottom ash which is extracted from Mettur Power Plant. The bottom ash and sand proportions is taken as 10:90, 20:80, 30:70, 40:60, 50:50 (M1,M2,M3,M4 and M5 respectively). The basic tests for all material used in concrete preparation were determined. M20 grade of concrete is casted and the test on fresh concrete is determined for conventional and partially replaced concrete. The specimens (beams, cylinders and cubes) were casted and kept under curing for 7 and 28 days from the cured concrete specimen’s hardened concrete test were determined. The strengt h of concrete for ratios 10:90 and 20:80 are having nearly equal strength comparing to normal concrete. Hence ratio 20:80 is advisable by this experimental study.