Morphological and histological placental characteristics in relation to pregnancy outcome in an unselected population.

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Codes de réponse rapide pour prendre les présences aux cours en ligne et pour faire évaluer l’enseignement virtuel par les étudiants

Monitoring attendance and obtaining timely learner evaluations for virtual teaching sessions can be challenging. At our Obstetrics and Gynecology webinar programme, we have utilised Quick Response (QR) codes this purpose. Following each session, attendees scan an on-screen QR code which links to an online evaluation form and registers their attendance. Feedback can therefore be obtained quickly, is scalable to large participant numbers and is securely stored in digital format. QR reader applications are widely available and cost-free, which makes this technique accessible for learners. Using QR codes for teaching evaluation is simple and could be adopted across many educational applications.Contrôler la présence des étudiants aux cours en ligne et obtenir en temps utile leur évaluation des séances d'enseignement virtuelles peut constituer un défi. Dans notre programme de webinaires en obstétrique et gynécologie, nous le faisons à l’aide de codes de réponse rapide (codes QR). Après chaque séance, les participants scannent un code QR qui apparaît sur leur écran; la lecture du code permet de confirmer leur présence et renvoie à un formulaire d’évaluation en ligne. Ce mécanisme rend possible la rétroaction rapide, la participation d’un grand nombre de personnes et la conservation sécuritaire de l’information en format numérique. Les applications de lecture de codes QR sont largement disponibles et gratuites, et donc accessibles aux étudiants. L’utilisation des codes QR pour évaluer les cours est simple et elle peut être intégrée dans de nombreuses applications éducatives

A mother's perspective of consent for maternal and neonatal COVID-19 testing: can we do more?

Background There is ongoing research on the effects of COVID-19 on pregnancy and whether vertical viral transmission occurs. Aims This study aimed to determine maternal opinions of COVID-19 testing for pregnant women and newborns in order to influence future clinical practice while advancing global knowledge of the impact of testing on patient experiences. Methods This service evaluation assessed the opinions of 292 pregnant women who were tested for COVID-19 along with their newborn babies using nasopharyngeal swabs and the SARS-CoV-2 reverse transcription polymerase chain reaction test between 28 April and 21 May 2020. Results Many women felt their own (60%) and their baby's (61%) swab was compulsory and did not feel sufficiently informed about the risks and benefits for themselves (43%) or their baby (52%) being tested. Some women did not understand the implications of a positive test for themselves (43%) or their baby (42%). Most participants reported they would agree to themselves (97%) and their baby (86%) being tested in future pregnancies. Conclusion Communication to pregnant women regarding the COVID-19 swabbing process is critical and requires improvement. This service evaluation highlighted where women felt under-informed. These areas should be covered in more detail for consenting women for COVID-19 testing in future

Nepal paediatric society clinical guidance for management of sepsis and septic shock in the paediatric intensive care units in Nepal

Justification: Sepsis is a major cause of morbidity and mortality in Nepal. There is a lack of standardisation in the management of severe sepsis and septic shock. Additionally, international guidelines may not be completely applicable to resource limited countries like Nepal. Objective: Create a collaborative standardised protocol for management of severe sepsis and septic shock for Nepal based on evidence and local resources. Process / Methods: Paediatricians representing various paediatric intensive care units all over Nepal gathered to discuss clinical practice and delivery of care of sepsis and septic shock under the aegis of Nepal Paediatric Society. After three meetings and several iterations a standardised protocol and algorithm was developed by modifying the existing Surviving Sepsis Guidelines to suit local experience and resources. Recommendations: Paediatric sepsis and septic shock definitions and management in the early hours of presentation are outlined in text and flow diagram format to simplify and standardise delivery of care to children in the paediatric intensive care setting. These are guidelines and may need to be modified as necessary depending on the resources availability and lack thereof. It is recommended to analyse data moving forward and revise every few years in the advent of additional data

Drought and salinity stresses induced physio-biochemical changes in sugarcane: an overview of tolerance mechanism and mitigating approaches

Sugarcane productivity is being hampered globally under changing environmental scenarios like drought and salinity. The highly complex nature of the plant responses against these stresses is determined by a variety of factors such as genotype, developmental phase of the plant, progression rate and stress, intensity, and duration. These factors influence plant responses and can determine whether mitigation approaches associated with acclimation are implemented. In this review, we attempt to summarize the effects of drought and salinity on sugarcane growth, specifically on the plant’s responses at various levels, viz., physiological, biochemical, and metabolic responses, to these stresses. Furthermore, mitigation strategies for dealing with these stresses have been discussed. Despite sugarcane’s complex genomes, conventional breeding approaches can be utilized in conjunction with molecular breeding and omics technologies to develop drought- and salinity-tolerant cultivars. The significant role of plant growth-promoting bacteria in sustaining sugarcane productivity under drought and salinity cannot be overlooked

Long-term trends of direct nitrous oxide emission from fuel combustion in South Asia

An increasing concentration of nitrous oxide (N2O) in the global atmosphere can perturb the ecological balance, affecting the climate and human life. South Asia, one of the world's most populous regions, is a hotspot for N2O emission. Although agriculture traditionally dominated the region, economic activities are rapidly shifting towards industry and energy services. These activites may become the largest emitters of N2O in future. Yet, few attempts have been made to estimate long-term direct N2O emission from fuel combustion for the different energy-consuming sectors in the South Asian region. Therefore, the present study developed a comprehensive sectoral N2O emission inventory for South Asian countries for the time period of 1990–2017, with projections till 2041. It revealed that the average N2O emission from fuel combustion in the South Asia region is about 40.96 Gg yr−1 with a possible uncertainty of ±12 Gg yr−1, showing an increase of more than 100% from 1990 to 2017. Although India is the major contributor, with an average of 34 Gg yr−1 of N2O emissions, in terms of growth, small countries like Bhutan and Maldives are dominating other South Asian countries. Sector-wise, the residential sector contributed a maximum emission of 14.52 Gg yr−1 of N2O but this is projected to reduce by more than 50% by 2041. This is because of the successful promotion of cleaner fuels like liquefied petroleum gas over more polluting fuelwood. Power generation contributed 9.43 Gg yr−1of N2O emissions, exhibiting a maximum growth of 395%, followed by road transport (289%) and industry (231%). Future N2O emissions from transport, power and industry are projected to rise by 2.8, 3.3, and 23.9 times their 2017 estimates, respectively, due to the incapability of current policies to combat rising fossil fuel consumption. Mitigation options, such as replacing diesel and compressed natural gas vehicles with electricity-driven vehicles, can decelerate N2O emissions to 45% by 2041 for road transport. A 41% reduction is possible by displacing coal with renewables in the power and industry sectors. Overall, the South Asian contribution to global N2O emissions has enlarged from 2.7% in 1990 to 5.7% in 2007–2016, meaning there is an urgent need for N2O emission mitigation in the region

“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT's capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT's use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts

“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts

“So what if ChatGPT wrote it?”:Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT’s use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts