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2022 ◽  
Author(s):  
Ian Mercer ◽  
Ros Mercer

All landscapes are built on rock: from hard stone for building with, to the softest clay or sand. Each piece of rock is a storehouse of prehistorical information; even a simple pebble from the garden has its own complex tale to tell. Geology is the great detective science that can unlock these secrets. In this entertaining and eye-opening book, the authors take a deep dive – quite literally – into their home county of Essex. We are all living in an ice age, an ongoing event that has hugely affected Essex over the last 3 million years. Yet this county was born more than 500 million years ago. Our story begins when the land we know as Essex was part of a large continent close to the South Pole, tracing the geological processes that continue to shape the countryside around us. The form of the land, boulders on village greens, road cuttings, cliffs, stones in church walls – they can all bring geology to light in unexpected and fascinating ways. Aimed at a general readership with no scientific background, chapters progress from fundamentals to intricate details of geological investigations and cutting-edge research. Richly illustrated with photographs and colour diagrams, here the geology of a county is visualised and brought to life as never before, along with pertinent environmental insights in the light of climate change that is happening now.


2022 ◽  
Vol 21 (1) ◽  
Author(s):  
Alexa W. Clemmons ◽  
Deborah A. Donovan ◽  
Elli J. Theobald ◽  
Alison J. Crowe

This study applies the intended-enacted-experienced curriculum model to map the Vision and Change core competencies across undergraduate biology courses. A five-department pilot of a curriculum mapping survey is followed by a deep dive of 10 courses to provide a rich snapshot of current core competency teaching and assessment practices.


2022 ◽  
Author(s):  
Meghan Arakelian ◽  
Andrew N Brown ◽  
Alexandra Collins ◽  
Leah Gatt ◽  
Sara Hyde ◽  
...  

Abstract BackgroundHuman resources information systems (HRIS) are a key tool for collecting and analyzing health workforce data at the country level and the specific focus of milestones 4.1 and 4.2 of the Global Strategy on Human Resources for Health (HRH). Yet documentation on the capabilities of HRIS in low- and middle-income countries (LMICs) is limited. Vital Wave, with IntraHealth International and Cooper/Smith, conducted a targeted scan of the HRIS landscape in 20 countries and “deep-dive” assessments in Burkina Faso, Mozambique, and Uganda. Here we present the case of Uganda’s workforce information ecosystem. Case PresentationSince 2006, Uganda has seen investment in HRIS from different donors, overseen by the Ministry of Health (MOH) and accompanied by the rollout of IntraHealth’s open-source iHRIS software. Despite this history of investment, mapping of the country’s multiple information systems revealed uneven adoption and engagement nationally and sub-nationally, with high levels of data fragmentation due to lack of interoperability and data-sharing practices. We also mapped the administrative processes and data flows for three priority use cases: recruitment and deployment, salary payments, and performance management. What emerges is a complex, decentralized information ecosystem driven by years of donor investment, but one that still sees uneven ownership and data use across the health system. Challenges include:· Limited interoperability between systems, specifically payroll, iHRIS, and the district health information system (DHIS2)· Complex HRH planning and management policy context, with variable implementation of numerous policies and no single reference to guide investments and implementation· Limited visibility into the private and community health workforce. ConclusionsUganda’s progress in developing its HRH information ecosystem underscores the importance of continuously aligning system capabilities, incentives, and motivations to an ever-evolving country context. However, as evidenced in Uganda and our broader assessment findings, robustness of the information ecosystem itself is insufficient to making substantive strides toward the Global Strategy’s milestones 4.1 and 4.2—governance oversight and ownership are critical to success. With a better understanding of what good looks like in terms of HRIS functionality in LMICs and ensuring interventions are addressing the causal issues, there can be many pathways to making systems work.


Author(s):  
Maryam Gillani ◽  
Hafiz Adnan Niaz ◽  
Muhammad Umar Farooq ◽  
Ata Ullah

AbstractWe live in the era of Intelligent Transport Systems (ITS), which is an extension of Vehicular AdHoc Networks (VANETs). In VANETs, vehicles act as nodes connected with each other and sometimes with a public station. Vehicles continuously exchange and collect information to provide innovative transportation services; for example, traffic management, navigation, autonomous driving, and the generation of alerts. However, VANETs are extremely challenging for data collection, due to their high mobility and dynamic network topologies that cause frequent link disruptions and make path discovery difficult. In this survey, various state-of-the-art data collection protocols for VANETs are discussed, based on three broad categories, i.e., delay-tolerant, best-effort, and real-time protocols. A taxonomy is designed for data collection protocols for VANETs that is essential to add precision and ease of understandability. A detailed comparative analysis among various data collection protocols is provided to highlight their functionalities and features. Protocols are evaluated based on three parametric phases. First, protocols investigation based on six necessary parameters, including delivery and drop ratio, efficiency, and recovery strategy. Second, a 4-D functional framework is designed to fit most data collection protocols for quick classification and mobility model identification, thus eradicating the need to read extensive literature. In the last, in-depth categorical mapping is performed to deep dive for better and targeted interpretation. In addition, some open research challenges for ITS and VANETs are discussed to highlight research gaps. Our work can thus be employed as a quick guide for researchers to identify the technical relevance of data collection protocols of VANETs.


2022 ◽  
Vol 70 (1) ◽  
pp. 24
Author(s):  
Ronnie George ◽  
GowriJ Murthy ◽  
Murali Ariga ◽  
Maneesh Singh ◽  
Prafulla Sarma ◽  
...  
Keyword(s):  

2022 ◽  
Vol 75 (1) ◽  
pp. 385
Author(s):  
Peter A. Schneider
Keyword(s):  

2022 ◽  
pp. 96-116

This chapter takes a deep dive into the COVID-19 global pandemic of 2019-2020 and the ways in which this one major issue caused a massive breakdown in cooperation, the global supply chain, and global economics. The pandemic has shed light on the world order to come, and it looks much more transactional than ever before. The chapter also highlights vaccine diplomacy and nationalism.


2022 ◽  
Vol 225 (1) ◽  
Author(s):  
Chloe Malinka
Keyword(s):  

Author(s):  
Ivan Wolansky ◽  

Deep learning is a type of machine learning (ML) that is growing in importance in the medical field. It can often perform better than traditional ML models on different metrics, and it can handle non-linear problems due to activation functions. Activation functions are different non-linear functions that are used to restrict the values propagated to an interval. In deep learning, information propagates forward, passing through different layers of weights and activation functions, before reaching the final layer. Then a cost function is evaluated and propagated back through the network to adjust weights. A convolutional neural network (CNN) is a form of deep learning that is used primarily in imaging. CNNs perform significantly well with grid-like inputs because they learn shapes well. CNNs compute dot products between layers and kernels in a convolutional layer, prior to pooling, which outputs summary statistics. CNNs are better than trivial neural networks for imaging due to a number of reasons, like sparse interaction and equivariance of translation


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Surabhi Gupta ◽  
Nakul Gupta ◽  
Shubham Narayan

Theoretical basis Capital structure theory. Research methodology The case is meant for teaching and class discussion, and uses only secondary data based on published sources. The interpretation and perspectives presented are based solely on the secondary data. Case overview/synopsis This paper aims to help current and future managers understand capital structure theory and the various equity and debt finance options available for raising capital. It also examines the financial analysis and strategic management of black swan events. After the class discussion, students will understand how to financially and strategically manage a company during black swan events and also have a deep dive into capital structure analysis of a large company. Complexity academic level MBA/postgraduate/undergraduate courses on corporate finance or advanced corporate finance. Executive/management development programs and short duration Massive Open Online Courses on investment decision-making and advanced corporate finance. MBA/postgraduate/undergraduate courses on corporate strategy and economic environment and planning.


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