Religación. Revista de Ciencias Sociales y Humanidades
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Creating frames of reference for chert exploitation during the Late Pleistocene in Southwesternmost Iberia
No full textA repository for the macroscopic and petrographic analysis of geological chert samples from southern Portugal
Comparing the ideological correlates of anti-government and anti-Roma conspiracy beliefs in Romania
No full textRECOGNITION OF HANDWRITTEN DIGITS/ CHARACTERS USING MACHINE LEARNING
No full textHandwritten Digits/Characters an idea of recognize digit which is used for the computers.Object detection technique is used for detecting the digits and characters in English language i.e. digits from 0-9 and characters from (A-Z)(a-z)Capital letters and small letters.Object detection is performed by Cascade classifier. Cascade classifier class to detect objects in a video stream.The cascades are a bunch of XML files that contain OpenCV data used to detect objects. There area unit 2 rule area unit employed in this technology. i.e. create rule and YOLO rule.Pose estimation refers to laptop vision techniques that discover human figures in pictures and videos.The rule is just estimating wherever key body joints area unit.Human create estimation is the method of estimating the configuration of the body (pose) from one, usually monocular, image.YOLO is associate abbreviation for the term ‘You solely Look Once’. this is often associate rule that detects and acknowl- edges numerous objects in a very image (in real-time). Object detection in YOLO is completed as a regression downside and provides the category possibilities of the detected pictures.YOLO is associate rule that uses neural networks to supply time period object detection. This rule is widespread attributable to its speed and accuracy. it’s been employed in numerous applications to discover traffic signals, people, parking meters, and animals
Geophysical Data Associated with "Understanding the Depositional History of the Archaeological Open-Air Site, Klein Hoek 1, South Africa Using Geophysical Geoarchaeology"
No full textThe repository contains data associated with the manuscript "Understanding the archaeology and depositional history of Klein Hoek 1, South Africa using geophysical geoarchaeology
A STUDY OF POST PANDEMIC EFFECT ON STUDENT’S LEARNING STRATEGIES
No full textThe COVID-19 pandemic disturbs the world in many unimaginable ways. If we look back on the past two years will come to know that it not only changes the whole world but also effect on each individual. All sectors are badly affected with it and our education sector is not an exception. During pandemic the whole education system shifted on online wheels and started its journey even students have made changes in their learning strategies. After two years now hybrid teaching is going on everywhere and students are still trying to adopt new strategies of learning. This research paper mainly focuses on learning strategies of college students. ‘A learning strategy is an individual's way of organizing and using a particular set of skills in order to learn content or accomplish other tasks more effectively and efficiently in school as well as in non-academic settings.’(Schumaker& Deshler, 1992). Though the pandemic has offered so many opportunitiesin higher educations along with it many challenges are also there. Entering higher education, students face the challenge of self- regulating their learning. Students are expected to be autonomous learners and to plan and monitor their own learning in a new context, less guided than in secondary education.The aim of present study is to find out as- how the post pandemic scenario bring change in student’s learning strategies? Are they comfortable to mold themselves according to situation or it’s a hectic thing for them? What problems they are facing & which learning strategies are useful for them now days
AI AND ML APPLICATIONS TO BRACE HUMAN INTERVENTIONS
No full textAI/ML—short for artificial intelligence (AI) and machine learning (ML)—represents an important evolution in computer science and data processing that is quickly transforming a vast array of industries. Artificial Intelligence is a booming technological domain capable of altering every aspect of our social interactions. The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. AI, and specifically ML, are techniques used to design and train software algorithms to learn from and act on data. These AI/ML-based software, when intended to treat, diagnose, cure, mitigate, or prevent disease or other conditions, are medical devices under the FD&C Act, and called “Software as a Medical Device” (SaMD) by FDA and IMDRF. Finally, this paper reflects on future directions for AI in education, ending with an open invitation to create new discussions around the uses, possibilities and risks of AI in education for sustainable development
PSYCHOLOGICAL ISSUES THAT OCCUR IN FOREIGN LANGUAGE TEACHING
No full textEffective communication in a foreign language is of particular relevance today in connection with the integration processes in the modern world. The use of new approaches to learning, as well as innovative methods of teaching a foreign language, contribute to the formation of a linguistic personality, its cultural enrichment when communicating with people from other countries, and the expansion of international relations of our state
Institute for the Study of Power, Crime, and Society
No full textThis project hosts data collected at the Institute for the study of Power, Crime, and Society, at Royal Holloway, University of Londo
EXOSKELETON POWERSUITE
No full textIt is the type of upper body skeletal structure which is worn over body to perform the function in field. The various components studied while studying the entire mechanical course, by using such components like pneumatic actuators, compressor, valves, circuits, etc. this product is designed. This type of design creates the natural interaction between human and machine where by using such machine the human being can lift the heavy loads easily. It is the system combination of pneumatic cylinder (Double acting), Direction control valve, check valve, flow control valve, compressor and frame. Using this system, the handicapped person can also lift or move the limb which is disabled. It can be also use by soldiers to carry heavy load like missiles etc. All the components are positioned at the back of the structure so that the user feels no restrictions in the motion. Mechanical designs should therefore consider the possibilities of unpredicted erroneous operation of the device controller when the device is actively actuated. Limits to the range of motion can be set using a mechanical stopper or corresponding structural designs. So that the power suit cannot force the wearer’s body to move in an excessive range of motion
CBT at your fingertips: A review of mHealth Apps and their ability to deliver CBT to users
No full textMental health is a fast-growing concern in modern day society. Mental health services, however, cannot deal with the numbers often resulting in unreasonable and dangerous waiting times and barriers between treatments. Consequently, mental health apps are becoming ever-more popular and hold great potential in improving individuals’ lives. Considering the diversity of these apps as well as the principles and features they aim to deploy; it is important to carefully and critically assess how such apps can maximise their effectiveness. Therefore, mobile health (mHealth) apps have been investigated with regards to their efficacy as behavioural interventions for mental health conditions. Previous research suggests these apps have high efficacy and that users find mHealth interventions beneficial as they alleviate depressive symptoms. However, the research is not unanimous and highlights other issues. For example, studies have seen varying success across different conditions as well as high dropout rates. Therefore, understanding what features, both user and app related, make these apps work to the peak of their potential is incredible important. To ameliorate this understanding, these apps require further and more comprehensive investigation. Through reviewing the literature, the efficacy, inner-workings, and pitfalls of mHealth interventions were identified. The review revealed a high level of effectiveness of these interventions while also highlighting some problems about the practicalities of these apps. Concluding remarks offer an understanding of how mHealth apps work, their efficacy, and the implications of these findings for future research – emphasising that while mHealth apps are effective interventions, they can be problematic too