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Reduced beam section (RBS) is one of the several connection types, which is economical and popular for use in new steel moment frame structures in seismic zone. To form RBS connection, some portion of the beam flanges at a short distance from column face is purposefully trimmed so that the yielding and plastic hinge occurs within this area of flanges. Use of RBS connection is found advantageous due to: a) the shear force in the panel zone is reduced; b) the force demand in column continuitydoi:10.9790/1684-640106 fatcat:pfutcycgcvagjauvhfkobar6dq
more »... es i.e. stiffeners are reduced; and c) strong-columnweak-beam requirement is satisfied. Although, radius cut RBS is qualified by ANSI/AISC, FEMA codes, various flange cut shapes like constant, tapered, radius cut, drilled holes are possible to reduce the cross sectional area of beam flanges. The purpose of this study is to understand behavior of RBS beam-to-column moment connections for various flange cut geometries. This document represents nonlinear finite element analysis of the connection models performed using the computer program, ANSYS/Multiphysics
Niosomes are basically a novel drug delivery system in which an encapsulated drug is given which improved its bioavailability by releasing the drug at particular site and increasing its therapeutic effect. The drug is release in controlled manner for long period of time and also at particular targeted site. various other drug delivery system such as liposomes, nanospheres, microspheres, etc. liposomes are first system but it shows number of drawbacks such as high cost and stability problems.doi:10.5281/zenodo.3941544 fatcat:3edbsns5bffszhf3xzhanizrvq
more »... pare to liposomes, noisome are made of non-ionic surfactant vesicles system and it is better than liposomes. Other additives are cholesterol and charge inducing molecules. Niosomes are amphiphilic in nature they encapsulate both hydrophilic and lipophilic drug and it is affected by various factors during its formation. This review gives information about various methods of preparation, factors affecting, application to treat diseases and limitation. Keywords: Novel drug delivery system, Niosomes, Magic bullet, Non-ionic surfactant.
We present a demonstration of REACT, a new Real-time Educational AI-powered Classroom Tool that employs EDM techniques for supporting the decision-making process of educators. REACT is a data-driven tool with a user-friendly graphical interface. It analyzes students' performance data and provides context-based alerts as well as recommendations to educators for course planning. Furthermore, it incorporates model-agnostic explanations for bringing explainability and interpretability in thearXiv:2108.07693v1 fatcat:qkimobt3drfxraepcdgiwjuvbq
more »... of decision making. This paper demonstrates a use case scenario of our proposed tool using a real-world dataset and presents the design of its architecture and user interface. This demonstration focuses on the agglomerative clustering of students based on their performance (i.e., incorrect responses and hints used) during an in-class activity. This formation of clusters of students with similar strengths and weaknesses may help educators to improve their course planning by identifying at-risk students, forming study groups, or encouraging tutoring between students of different strengths.
Open source is the future of technology. This community is growing by the day; developing and improving existing frameworks and software for free. Open source replacements are coming up for almost all proprietary software nowadays. This paper proposes an open source application which could replace Skype, a popular VoIP soft phone. The performance features of the developed software is analyzed and compared with Skype so that we can conclude that it can be an efficient replacement. Thisdoi:10.14569/ijacsa.2014.050601 fatcat:vmk3pga5mvcfbnyczfabn33zma
more »... n is developed in pure Java using various APIs and package and boasts features like voice calling, chatting, file sharing etc. The target audience for this software will initially only be organizations (for internal communication) and later will be released on a larger scale.
Dealing with imbalanced data is a prevalent problem while performing classification on the datasets. Many times, this problem contributes to bias while making decisions or implementing policies. Thus, it is vital to understand the factors which cause imbalance in the data (or class imbalance). Such hidden biases and imbalances can lead to data tyranny and a major challenge to a data democracy. In this chapter, two essential statistical elements are resolved: the degree of class imbalance andarXiv:2108.00071v1 fatcat:vpmsukbjhbdxdoh6b7fbzpz6ce
more »... complexity of the concept; solving such issues helps in building the foundations of a data democracy. Furthermore, statistical measures which are appropriate in these scenarios are discussed and implemented on a real-life dataset (car insurance claims). In the end, popular data-level methods such as random oversampling, random undersampling, synthetic minority oversampling technique, Tomek link, and others are implemented in Python, and their performance is compared.
The results of data mining endeavors are majorly driven by data quality. Throughout these deployments, serious show-stopper problems are still unresolved, such as: data collection ambiguities, data imbalance, hidden biases in data, the lack of domain information, and data incompleteness. This paper is based on the premise that context can aid in mitigating these issues. In a traditional data science lifecycle, context is not considered. Context-driven Data Science Lifecycle (C-DSL); the mainarXiv:1910.08670v1 fatcat:3rzimjokirfjhpswed3gjqrt6a
more »... tribution of this paper, is developed to address these challenges. Two case studies (using data-sets from sports events) are developed to test C-DSL. Results from both case studies are evaluated using common data mining metrics such as: coefficient of determination (R2 value) and confusion matrices. The work presented in this paper aims to re-define the lifecycle and introduce tangible improvements to its outcomes.
Speeding and drunken drive are the basic reasons for vehicle accident. Many lives could have been saved if emergency service could get accident information and touch in time and if drunken drivers are prevented from driving. Vehicle accidents are one of the most leading causes of casualty. The time between an accident occurrence and the emergency medical personnel are dispatched to the accident location is the important factor in the survival rates after an accident. By eliminating that timedoi:10.17148/ijireeice.2017.5325 fatcat:4locyw67j5hhrh2munaly3avze
more »... ween an accident occurrence and the first responders are dispatched to the scene decreases mortality rates so that we can save lives. In this paper we are focusing about the all the existing system or analogies for accident reporting and prevention to compile a new system which is enhanced and concise of existing attributes. Above all we are thinking about the system which reduce time of action such as intimation to police, intimation to traffic police, intimation to family, intimation to hospital and many more aspect.
Data & Policy
Cite this article: Gopinath M, Batarseh FA, Beckman J, Kulkarni A and Jeong S (2021) International agricultural trade forecasting using machine learning. ...doi:10.1017/dap.2020.22 fatcat:7kxl6sfl2nh4naapq72wrcrgqa
Published online: April 09, 2020; PII: S0974775591600157 RAJESH K KULKARNI 1* , AARTI A KINIKAR 1 AND AJAY CHANDANWALE 2 Pediatric Palliative Care: An Innovative Approach to Pediatric Care for Children ...pmid:32273488 pmcid:PMC7240247 fatcat:l54rl6mkujd2nbr764iwvddyym
The objectives of this ongoing research are to build Real-Time AI-Powered Educational Dashboard (RAED) as a decision support tool for instructors, and to measure its impact on them while making decisions. Current developments in AI can be combined with the educational dashboards to make them AI-Powered. Thus, AI can help in providing recommendations based on the students' performances. AI-Powered educational dashboards can also assist instructors in tracking real-time student activities. InarXiv:2107.14414v1 fatcat:yc4f7kkwpnhkjchc6gwe3ovfmq
more »... ongoing research, our aim is to develop the AI component as well as improve the existing design component of the RAED. Further, we will conduct experiments to study its impact on instructors, and understand how much they trust RAED to guide them while making decisions. This paper elaborates on the ongoing research and future direction.
Moyamoya disease (MMD), a rare cause of pediatric stroke, is a cerebrovascular occlusive disorder resulting from progressive stenosis of the distal intracranial carotid arteries and their proximal branches. In response to brain ischemia, there is the development of basal collateral vessels, which gives rise to the characteristic angiographic appearance of moyamoya (puff of smoke). If left untreated, the disease can result in overwhelming permanent neurological and cognitive deficits. Whereasdoi:10.4103/bc.bc_8_19 pmid:32166200 pmcid:PMC7045536 fatcat:b2b5qnmgvfcghmxluw2cbquenq
more »... refers to the idiopathic form, moyamoya syndrome refers to the condition in which children with moyamoya also have a recognized clinical disorder. The classic pediatric presentation in moyamoya is recurrent transient ischemic attacks (TIAs) and/or completed/repeated ischemic strokes. Surgical revascularization, including direct and indirect techniques, remains the mainstay of treatment and has been shown to improve long-term outcome in children with MMD. Various risk factors identified for perioperative complications are as follows: history of TIAs, severity of disease, intraoperative hypotension, hypercapnia and hypovolemia, and substantial reduction in hematocrit intraoperatively. Thus, providing perianesthetic care to pediatric patients undergoing revascularization procedure for MMD is like walking a tightrope, and we present two such cases handled successfully.
Dilated cardiomyopathy (DCM) is a serious cardiac condition resulting in progressive heart failure and death. There have been several reports of anaesthetic management of DCM patients for various surgeries. Trans-Oral Robotic Surgery (TORS) is a minimally invasive approach to radical surgery of head and neck cancers. It utilizes the da Vinci™ robotic system to excise deep-seated intra-oral tumors in difficult to reach areas. We present a case series of 3 patients with DCM for TORS and their anesthetic management.doi:10.15761/gapm.1000132 fatcat:dyz72esdxjbn5auewa7ia6osha
Squeeze film dampers (SFD) are lubrication elements which provide viscous damping in rotating systems. Squeeze film dampers in rotating machinery provide structural isolation, reduce the amplitudes of rotor response to unbalance and also assist to suppress rotor dynamic instability. They have been long used to subdue instability and vibration issues that are difficult to solve using conventional bearings like journal or ball bearings. Numerous studies have been tried to produce mechanicallydoi:10.1016/j.proeng.2016.05.088 fatcat:sv6vywg6sfctzilicktoyjlzny
more »... ble dampers which allow the damping to be changed during different mode of operation. Magneto-rheological (MR) fluids are one of the strong contenders for tunable dampers. They provide the possibility to control the dynamic characteristics of conventional fluid dampers. Magneto-rheological fluids are viscous fluids suspended with micron sized ferromagnetic particles which on application of magnetic field undergo changes in their physical and mechanical properties like viscosity, stiffness, etc. This characteristic can be used to build squeeze film damper whose damping properties will change based on the input force. In present work a typical SFD is designed and development using MR fluid and tested for different amount of damping. It is observed that the damping provided by MR fluid increases with increase in magnetic field and the amplitude of vibration reduces by 70% at critical speeds.
Annals of Glaciology
Manual separation between snow and ice cloud is possible due to textural differences (Kulkarni and Rathore, 2003) . ... Then an algorithm based on the normalized-difference snow index (NDSI) was used to map snow cover (Kulkarni and others 2006) . ...doi:10.3189/172756410791386445 fatcat:wxvnefoxuvhi5g34vhu4mhh3tm
Sentiment Analysis or Opinion Mining is the computational study of the attitudes, opinions and emotions of people toward an entity. The 21st century has seen the advent of the online shopping system, which has become a very popular mechanism for users to purchase goods without actually going to stores. These reviews can be referred to by other users to help them decide which products to buy. Applying sentiment analysis to these product reviews can help in understanding the overall reception ofdoi:10.17577/ijertv4is120166 fatcat:ze4fpv3wxzbsxlvleqsly44vbe
more »... he product. Sentiment analysis has increased the interest of many researchers in recent years, since subjective texts are useful for many applications. Sentiment analysis in particular has become a great research field. Studies on sentiment analysis mainly focus on pre-processing, feature extraction and classification model construction. This paper presents a survey on various research and latest development done in sentiment analysis, and also makes an introduction of its application in various fields. And finally discuss some future scope and directions where sentiment analysis could grow.
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