High Reliance Research Articles

University students’ self-reported reliance on ChatGPT for learning: A latent profile analysis

Although ChatGPT, a state-of-the-art, large language model, seems to be a disruptive technology in higher education, it is unclear to what extent students rely on this tool for completing different tasks. To address this gap, we asked university students (N = 490) recruited via CloudResearch to rate the extent to which they rely on ChatGPT for completing 13 tasks identified in a previous pilot study. Five distinct profiles emerged: ‘Versatile low reliers’ (38.2%) were characterised by low overall self-reported reliance across the tasks, while ‘all-rounders’ (10.4%) had high overall self-reported reliance. The ‘knowledge seekers’ (16.5%) scored particularly high on tasks such as content acquisition, information retrieval and summarising of texts, while the ‘proactive learners’ (11.8%) on tasks such as obtaining feedback, planning and quizzing. Finally, the ‘assignment delegators’ (23.1%) relied on ChatGPT for drafting assignments, writing homework and having ChatGPT write their assignment for them. The findings provide a nuanced understanding of how students rely on ChatGPT for learning.

The effects of land use changes on site occupancy and breeding success of the barn owl (Tyto alba) from 1993 to 2020

Land use changes, driven by human activities such as agricultural intensification and urban expansion, have drastic effects on biodiversity. As these changes are anticipated to continue, understanding species’ adaptations to their evolving habitats is essential to find solutions for effective conservation efforts and sustainable management. In this study, we investigated how long-term changes in the agricultural landscape influence the breeding performance of a population of barn owls (Tyto alba) residing in nest boxes using data collected from 1993 until 2020. Specifically, we assessed how agricultural intensification, urbanization, and site availability affected barn owls' site occupancy and breeding success. Our results reveal that nest boxes surrounded by more agricultural fields are more likely to be occupied and have higher fledging success. Additionally, nest boxes installed higher on the barn were more likely to be occupied. Owls laid more eggs in nest boxes facing North than South or East. Clutches laid in nest boxes installed at higher altitudes were smaller. Finally, nest boxes with a higher density of surrounding nest boxes were less likely to be occupied and had smaller clutches. These insights show barn owls high reliance on the agricultural landscape surrounding their nesting sites, but also the importance of nest box characteristics to optimize their breeding success.

Diagnosing drivers of PM2.5 simulation biases in China from meteorology, chemical composition, and emission sources using an efficient machine learning method

Abstract. Chemical transport models (CTMs) are widely used for air pollution modeling, which suffer from significant biases due to uncertainties in simplified parameterization, meteorological fields, and emission inventories. Accurate diagnosis of simulation biases is critical for the improvement of models, interpretation of results, and management of air quality, especially for the simulation of fine particulate matter (PM2.5). In this study, an efficient method with high speed and a low computational resource requirement based on the tree-based machine learning (ML) method, the light gradient boosting machine (LightGBM), was designed to diagnose CTM simulation biases. The drivers of the Community Multiscale Air Quality (CMAQ) model biases are compared to observations obtained by simulating PM2.5 concentrations from the perspectives of meteorology, chemical composition, and emission sources. The source-oriented CMAQ was used to diagnose the influences of different emission sources on PM2.5 biases. The model can capture the complex relationship between input variables and simulation bias well; meteorology, PM2.5 components, and source sectors can partially explain the simulation bias. The CMAQ model underestimates PM2.5 by −19.25 to −2.66 µg m−3 in 2019, especially in winter and spring and during high-PM2.5 events. Secondary organic components showed the largest contribution to the PM2.5 simulation bias for different regions and seasons (13.8 %–22.6 %) of all components. Relative humidity, cloud cover, and soil surface moisture were the main meteorological factors contributing to PM2.5 bias in the North China Plain, Pearl River Delta, and northwestern China, respectively. Primary and secondary inorganic components from residential sources showed the two largest contributions to this bias (12.05 % and 12.78 %), implying large uncertainties in this sector. The ML-based methods provide valuable complements to traditional-mechanism-based methods for model improvement, with high efficiency and low reliance on prior information.

Filipino migrant worker organisations, social capital and disaster resilience: An Aotearoa-New Zealand case study

There is increasing evidence that access to social capital, and particularly linking capital can significantly enhance the resilience of minoritised and vulnerable communities impacted by disasters. Understanding levels and types of access to social capital within such communities before disasters occur is an important part of disaster risk management policy and planning. Migrant worker communities, however, remain an understudied group in general, and there are very few published findings concerned with the 3.5 million Filipino migrant workers who primarily live in high-income host countries. This article contributes to addressing this gap with an Aotearoa-New Zealand qualitative case study that aims to increase understanding of the social capital accessed pre-disaster by members of Filipino migrant worker organisations in the Canterbury region. Interview and focus group data indicated that worker organisations facilitated access to local Filipino migrant worker networks, contributing to consistently high reliance on bonding capital, but less access to bridging or linking capital. This trend is linked to the precarious immigration status afforded by temporary work visas, which increased the vulnerability of participants. Only one organisation provided access to the linking capital required to mitigate this vulnerability. Factors influencing the capacity of organisations to develop linking capital appeared to include establishment objectives, length of time since establishment and support from government and industry groups. These findings emphasize the valuable role that migrant worker organisations can play in mitigating disaster risks, through providing connections that facilitate support and resourcing from authorities and industry bodies.

THE IMPACT OF SOCIOECONOMIC STATUS ON OUTCOMES FROM TREATMENT FOR FEMOROACETABULAR IMPINGEMENT

There is little known about how patient socioeconomic status impacts clinical outcomes in hip preservation surgery. The aim of this study was to evaluate the relationship between indices of multiple deprivation, funding provider (NHS Funded or Private Funded) and clinical outcomes following surgery for femoroacetabular impingement (FAI)The study analysed the data of 5590 patients recorded in the NAHR who underwent primary hip arthroscopic treatment for FAI between November 2013 and July 2023. Records were matched to the UK National index of multiple deprivation using the lower layer super output area. Using iHOT12 score, patient reported outcome measures were analysed at base line and 1 year following surgery.2358 records were matched to LLSOA deciles. Between the lowest (most deprived) 3 deciles and the highest (least deprived) the average baseline iHOT12 score was 28.98 (n=366) and 35.33 (n=821). The proportion of patients receiving treatment through NHS funding compared to independent funding for the most deprived, 292 (90%) 37 (10%) respectively compared to the least deprived 515 (70%) and 244 (30%) respectively. At 1year, iHOT12 scores for each group were 51.64 (29.1 SD) compared to 61.5 (28.06 SD) respectively.The study demonstrates that patients from lower socioeconomic backgrounds had poorer baseline and one-year post-surgery iHOT12 scores compared to those from higher socioeconomic strata. Furthermore, a higher reliance on NHS funding was observed among the most deprived, while more affluent patients predominantly opted for private funding. These findings underscore the significant influence of socioeconomic status on both the quality of healthcare received and recovery outcomes in hip preservation surgery, calling attention to the need for more equitable healthcare solutions.

Rapid non-invasive tracking of splenomegaly with hands-free 3D ultrasound for on-demand assessment of immune disorders and cancer

Abstract Splenomegaly is an important measure of cancer progression and immune disorders. Magnetic resonance imaging (MRI) and computed tomography (CT) are the standard in the field but are not optimal for preclinical studies due to their high cost, low throughput and reliance on contrast agents for soft tissue. Here, we report the use of a novel 3D automated ultrasound scanner (Vega, Revvity Inc.) for the rapid assessment of spleen volume in two murine models (cancer and lupus). Cancer cohort: Tumor-bearing (4T1 breast cancer, right flank) mice were imaged alongside control mice at five timepoints over 25 days. Spleen volume was found to increase 18-fold (30±3 mm3 to 545±105 mm3) after 25 days of tumor growth (938±77 mm3). Lupus cohort: MRL/lpr mice were allowed to age until they developed lymphoproliferation (12-14 weeks) and then imaged biweekly until 20 weeks of age. A 300-fold increase in calculated spleen volume by 18 weeks of age in MRL/ lpr mice was observed. Kidney volume doubled and a statistical increase (p<0.05) in vascular density was observed (using acoustic angiography), indicating systemic disease progression. Average acquisition times for both cohorts were 30 seconds per mouse, showing excellent applicability of spleen volume as a measurement of disease progression compared to more laborious techniques (e.g. MRI). Future work in this area will explore the application of machine learning and AI-assisted auto segmentation tools for higher throughput data analysis.

Losing altitude: The impact of new leasing standards on the liquidity, leverage, profitability and valuation of U.S. and European airlines

The global airline industry represents fertile ground for research due to its susceptibility to extraneous demand shocks such as fuel price hikes, terrorist attacks, and global pandemics coupled with high leverage and high reliance on leasing. Accounting Standards Codification (ASC) 842 Leases and International Financial Reporting Standard (IFRS) 16 Leases became effective January 1st, 2019 for publicly-traded firms in the U.S. and overseas, requiring capitalization of the majority of leased assets. This study was motivated by how the acts may have affected reported airline liquidity, leverage, profitability and stock price, and if any evidence existed of lease restructure attempts in order to avoid capitalization; which may provide initial impacts. Using a sample of publicly-traded airlines incorporated in the U.S. and Europe, the current study used firm year-level filings from 2017 to 2019 to determine if passage of the acts were associated with changes in liquidity, leverage, profitability and stock price. One-way analysis of variance (ANOVA) and independent samples t-test parametric statistical testing was employed to determine any statistically significant change in the means of selected ratios operationalizing liquidity, leverage, profitability and firm valuation. The results indicated no significance for any of the variables operationalizing the latent constructs providing evidence contrary to previous predictions, and a significant difference between the two regions, worthy of further study. These findings are significant due to the vast financial reporting implications associated with these acts and their potential to skew financial ratios, juxtaposed against the ever-present threat of extraneous demand shocks which permeate this industry. The research also suggests management may have attempted lease restructures to circumvent the capitalization requirements of the act and warrants further research to investigate the generalizability of these findings to other industries.

Isotopic evidence of high reliance on plant food among Later Stone Age hunter-gatherers at Taforalt, Morocco

The transition from hunting-gathering to agriculture stands as one of the most important dietary revolutions in human history. Yet, due to a scarcity of well-preserved human remains from Pleistocene sites, little is known about the dietary practices of pre-agricultural human groups. Here we present the isotopic evidence of pronounced plant reliance among Late Stone Age hunter-gatherers from North Africa (15,000–13,000 cal BP), predating the advent of agriculture by several millennia. Employing a comprehensive multi-isotopic approach, we conducted zinc (δ66Zn) and strontium (87Sr/86Sr) analysis on dental enamel, bulk carbon (δ13C) and nitrogen (δ15N) and sulfur (δ34S) isotope analysis on dentin and bone collagen, and single amino acid analysis on human and faunal remains from Taforalt (Morocco). Our results unequivocally demonstrate a substantial plant-based component in the diets of these hunter-gatherers. This distinct dietary pattern challenges the prevailing notion of high reliance on animal proteins among pre-agricultural human groups. It also raises intriguing questions surrounding the absence of agricultural development in North Africa during the early Holocene. This study underscores the importance of investigating dietary practices during the transition to agriculture and provides insights into the complexities of human subsistence strategies across different regions.

On the Occurrence of Extreme Rainfall Events Across Italy: Should We Update the Probability of Failure of Existing Hydraulic Works?

Every year, extreme rainfall events cause human deaths and economic losses around the world. Risk reduction strategies may involve the implementation of structural measures that are widely extended and financial relevant. Despite the high reliance on these mitigation measures, there might occur instances of overload, i.e. events with intensities exceeding the design value of these structures, that may have catastrophic consequences. In this framework, it is crucial to improve hydraulic works management, thus, we introduce a procedure at rain gauge scale for revising design variables throughout their operational lifespan. This enables us to enhance the assessment of the probability of failure of these works. Finally, we investigate instances where design variables experience overload during the recording period, thus assessing the occurrence of rare yet possible events. To this aim we find the most-suitable probability distribution to describe daily rainfall maxima in Italy. Specifically, we test the performance of four widely used bi-parametrical distributions with different tail behaviour, by analysing an impressive dataset consisting of 2282 rain gauges observations from 1860 to 2022. Our results show that: (1) 78% of the empirical samples exhibits heavy-tail behaviour; (2) when the update procedure is applied, 64% of the samples shows a higher-than-expected probability of failure; (3) at least one case of overload associated to a 100-years return period is recorded in almost all regions. Based on our results, existing hydraulic works designed to safeguard populations and their activities from catastrophic events may face a higher risk of failure than initially expected.

Opioid use surrounding diagnosis and follow-up in patients with ankylosing spondylitis, psoriatic arthritis, and rheumatoid arthritis: Results from US claims databases

ObjectiveTo describe patients’ use of opioids in the year preceding and year following new diagnosis of ankylosing spondylitis (AS), psoriatic arthritis (PsA), or rheumatoid arthritis (RA), compared with patients without the/se diseases.MethodsThis study used US IBM® MarketScan® Commercial Claims and Encounters (CCAE) and Medicaid data and included three cohorts, comprised of incident cases of AS, PsA, or RA (2010–2017). Three matched comparator patients (without the incident disease) were selected for each patient within the disease cohort. Opioid use and appropriate treatment exposure (as defined by US guideline recommendations) in the 12-month baseline and follow-up periods were evaluated using descriptive analyses.ResultsPrevalence of claims for opioids was higher for disease cohorts vs. comparators in CCAE; 36.4% of patients with AS, 29.5% with PsA, and 44.4% with RA did not have any claim for guideline-appropriate therapy in follow-up. Prevalence of claims for opioids was also higher for disease cohorts vs. comparators in Medicaid; 30.6% of patients with AS, 36.6% with PsA, and 65.4% with RA did not have any claim for guideline-appropriate therapy in follow-up.ConclusionsIn patients with AS, PsA, or RA, there was high reliance on opioids at and around the time of diagnosis. Significant proportions of patients were not on appropriate treatment as defined by professional society post-diagnosis guidelines; this discordance between actual patient therapies and treatment recommendations may suggest a need for better awareness of appropriate pain management and treatment strategies in rheumatic diseases.Key Points• This study analysed opioid use among patients with ankylosing spondylitis (AS), psoriatic arthritis (PsA), or rheumatoid arthritis (RA), and adds to current knowledge by expanding beyond assessment of opioid use at diagnosis, to the year before and after diagnosis.• Opioid use was found to be highly prevalent in AS, PsA, and RA in the year prior to diagnosis and, interestingly, was still seen during the year after diagnosis.• Opioids are neither disease modifying, nor a targeted/recommended treatment for chronic autoimmune diseases. In addition to their association with significant economic costs, opioids are potentially hazardous and are not better than alternative treatments with superior safety profiles.• The reasons behind opioid prescribing patterns should be explored further to support movement to targeted therapies.

Simulation of range code tracking loop for multipath mitigation in NavIC receiver

Abstract The Operational Navigation with Indian Constellation (NavIC) comprises seven satellites in the orbit, including three in geostationary orbit (GEO) and four in geosynchronous orbit (GSO). NavIC provides both Standard Positioning Service and Restricted Service, using L5 (1176.45 MHz) and S1 (2492.028 MHz) frequencies, with coverage extending 1500 km around the mainland of India. In an urban canyon, multipath interference severely reduces the precision and reliability of NavIC positioning. Many current multipath mitigation techniques often exhibit high computational requirements or reliance on external assistance. In this paper, a ranging code tracking loop is proposed that can sustain either a late or early branch in contrast to the Narrow-Spacing (NS) correlation technique for mitigating multipath for NavIC receiver. The design of proposed code tracking loop is based on steepest descent algorithm. The findings demonstrate that, in terms of calculation time and code multipath mitigation, the suggested technique performs better than both Multipath Estimated Delay Locked Loop (MEDL) and NS correlation. The proposed method produces less than 0.016 chips for the tracking error Standard Deviation (STD). In addition, the recommended method takes 24 % less computation time.

Online harvesting of municipality websites into trusted digital repository

PurposeMunicipalities, as the front lines of service delivery, use websites as one of the tools to communicate information to the public. While it is considered a record, many organisations, including municipalities, do not manage websites as such. This study aims to explore the archiving of websites as records in the municipalities of KwaZulu-Natal (KZN) Province in South Africa by using the web archiving life cycle model.Design/methodology/approachThis study used a mixed-methods research with an explanatory design, with quantitative data collected first through content analysis of websites and qualitative data collected through interviews. Researchers used multilevel sampling, first quantitatively analysing all available websites of the municipalities (52) in KZN, and then qualitatively selecting only records managers, information managers, web administrators, communication managers and website managers or designers from municipalities because of their understanding and involvement with websites in some way.FindingsThis study established that some records on municipal websites are often in paper format in record-keeping systems, whereas others are born digital and are not captured in the systems. Municipalities lack a dedicated web online harvesting tool as well as an archiving policy or strategy to guide website archiving. Furthermore, municipalities placed a high reliance on service providers to keep their websites operational.Research limitations/implicationsIt became clear during the interviews that most of the participants were unfamiliar with web archiving. As a result, only 12 of the 56 selected participants from the municipalities provided the required information in relation to the current study as others could not provide answers. Data for other participants were not analysed.Originality/valueDue to a lack of infrastructure for ingesting digital records into archival custody, a framework for harvesting web content of value is proposed both internally in municipalities and externally to an archive repository.

Enhancing diagnosis of benign lesions and lung cancer through ensemble text and breath analysis: a retrospective cohort study

Early diagnosis of lung cancer (LC) can significantly reduce its mortality rate. Considering the limitations of the high false positive rate and reliance on radiologists’ experience in computed tomography (CT)–based diagnosis, a multi-modal early LC screening model that combines radiology with other non-invasive, rapid detection methods is warranted. A high-resolution, multi-modal, and low-differentiation LC screening strategy named ensemble text and breath analysis (ETBA) is proposed that ensembles radiology report text analysis and breath analysis. In total, 231 samples (140 LC patients and 91 benign lesions [BL] patients) were screened using proton transfer reaction–time of flight–mass spectrometry and CT screening. Participants were randomly assigned to a training set and a validation set (4:1) with stratification. The report section of the radiology reports was used to train a text analysis (TA) model with a natural language processing algorithm. Twenty-two volatile organic compounds (VOCs) in the exhaled breath and the prediction results of the TA model were used as predictors to develop the ETBA model using an extreme gradient boosting algorithm. A breath analysis model was developed based on the 22 VOCs. The BA and TA models were compared with the ETBA model. The ETBA model achieved a sensitivity of 94.3%, a specificity of 77.3%, and an accuracy of 87.7% with the validation set. The radiologist diagnosis performance with the validation set had a sensitivity of 74.3%, a specificity of 59.1%, and an accuracy of 68.1%. High sensitivity and specificity were obtained by the ETBA model compared with radiologist diagnosis. The ETBA model has the potential to provide sensitivity and specificity in CT screening of LC. This approach is rapid, non-invasive, multi-dimensional, and accurate for LC and BL diagnosis.

Massive Solar PV Potential in Sri Lanka

Sri Lanka is facing an energy crisis due to insufficient exploitation of renewable energy resources and high reliance on imported fossil fuels. Building-integrated PV (BIPV) systems are one approach that provides various benefits in countries with limited land areas and congested metropolitan regions for ensuring energy security. This study was conducted to evaluate the rooftop solar PV capacity and yearly electricity generation potential in selected provinces in Sri Lanka. The study found 115 km2 of rooftop area for solar PV installation in four Sri Lankan provinces; Sabaragamuwa, Western, Northern, and North Central with approximately 25 GW of solar PV installation capacity could lead to annual electricity generation of 45 TWh which could reduce carbon emissions by 20 million tCO 2 per year.

Evaluation of straw and agricultural policy impacts on the sustainability of the straw-based bioeconomy with an agent-based model

The use of straw as feedstock for the bioeconomy constitutes an important opportunity to fulfill the societal demand for biobased products and reduce the externalities incurred in the utilization of non-waste resources and alternative waste management methods. However, the insufficient supply of raw material and high reliance on government support have constrained further expansion of the industry. Additionally, the evaluation of policies is hindered by the complexity of bioeconomy systems, where multiple entities generate patterns that are difficult to analyze with conventional tools. We developed an agent-based model based on the Social-Ecological Systems framework and mixed methods to analyze the effect of various straw and agricultural policy scenarios on farmers, straw operators, and industrial plants, and their subsequent impacts on the socioeconomic and environmental outcomes of the straw-based industry. The results indicate that the combined use of straw retention and straw collection methods achieves optimal outcomes for sustainability, and that further adoption of straw collection in the study area can be facilitated by policies targeted towards farmer awareness, efficiency of operations, and market demand. The analysis also shows that policy strategies have a considerable influence over the distribution of economic value among stakeholders. Finally, this study demonstrates the usefulness of this modeling approach for the analysis of bioeconomy systems with multiple stakeholders, policy measures, and sustainability goals. Overall, these finding illustrate the implications of different policy and straw management approaches for the straw-based industry, and provide a useful guideline for the modeling of circular bioeconomy systems in China and elsewhere.

Nutrient trade in Oceania

Human nutrition is a key component of the definitions of both sustainable food systems and sustainable healthy diets, and features prominently in the Sustainable Development Goals. However, progress towards complete nutrition and food security for the entire global population is poor, and the burden of malnutrition and food insecurity is felt in countries of all income levels, including in Oceania. While countries like Australia and New Zealand (NZ) are widely perceived as sources of high-quality food exported overseas due to great surpluses above national requirement, this hides domestic issues. The international nutrition community recognises and are demanding that our food systems must be sustainable, which is not yet the case anywhere in Oceania. Food insecurity at the household level is not uncommon, nor are nutrient deficiencies. It is often presumed that, should the inequitable distribution of food be balanced, these challenges would disappear. However, food supply and trade data show that even at the national and regional levels, insufficient food and nutrient supplies to meet population requirements are the established norm. For example, it has been demonstrated that domestic vegetable production falls short of NZ dietary recommendations, with imports making a negligible difference other than via energy dense crops(1). Likewise, after consideration of trade, NZ has undersupplies of calcium, potassium, vitamins C and E, and dietary fibre compared to population requirements(2). A wealth of data exists quantifying food production, trade, and availability and various scales. Increasingly, researchers are matching these to human requirements, whether at the food or nutrient level, to identify gaps(3). Insights generated from these data-driven approaches are being directed at trade policy, enabling decisions that can realise aspirational goals to reduce food insecurity through international trade. Making this data accessible to all via interactive user interfaces promotes wider engagement, understanding, and dissemination of findings. It also allows stakeholders in various countries to identify their own vulnerabilities, both as a result of current undersupplies, and due to high reliance on trading partners for food and nutrition security. Trade data can also be connected to environmental measures to identify scenarios where trade can be leveraged to the benefit of both nutrition and broader sustainability goals(4). High level, data driven approaches are not a substitute for individual-based studies on nutrition, but are a useful complement to them. With regionally or nationally deficient food and nutrient supplies, complete nutrition for individuals cannot be attained. A holistic, system-wide understanding is necessary for any policy decisions to advance nutrition.

Revitalizing the Indian Real Estate Industry: An Exploratory Study on Mitigating Developer Challenges in a Post-Pandemic World

India's real estate industry is now a vital part of the country's economy, contributing around 50% of its GDP. However, the developers in the real estate sector need help to meet the growing demand for housing and infrastructure. These include the unavailability of land, lack of access to funds, high reliance on physical labour, rising construction material costs, and approval and procedural delays. This paper examines these challenges and their root causes, providing insights on how to address them. It further discusses the impact of the COVID-19 pandemic on the sector. It also discusses various government schemes and policies affecting the real estate sector including the Real Estate (Regulation and Development) Act, 2016, and the Pradhan Mantri Awas Yojana. To further support the sector’s growth, the paper proposes measures such as increasing access to finance, streamlining approval processes, and promoting the use of technology to reduce reliance on physical labour. This paper shall analyse the Indian real estate sector’s challenges, its impact on the country’s economy, and recommendations for sustainable growth.

Responses of gross primary productivity in different types of terrestrial ecosystems to interannual variation in the northern boundary of the East Asian summer monsoon

The northern boundary of the East Asian summer monsoon (EASMNB), located in the transitional zone from humid to arid regions, is characterized by significant north-south fluctuations. These fluctuations can exert profound impacts on the photosynthetic activity of vegetation by causing anomalous climate conditions, and thus play an important role in the carbon cycle over large parts of northern China. In general, a more northward position of the EASMNB generally leads to increasing precipitation and decreasing incoming solar radiation (ISR) over most of northern China. The increasing precipitation leads to positive GPP anomalies in the temperate grassland over the western part of northern China, where water scarcity issues cause the high reliance of vegetation photosynthesis on dry-wet variability. In contrast, the decreasing ISR favors the occurrence of negative signals in the forest ecosystems over the eastern part of northern China, which holds strong resilience and resistance to dry-wet variability but sensitivity to ISR-induced changes in the available energy. Under this circumstance, the GPP responses are characterized by a zonal dipole pattern over northern China, with positive and negative signals situated over the western and eastern parts, respectively. The reverse pattern is also true when the EASMNB adopts a more southward position. Our findings highlight the distinctive impacts of EASMNB fluctuations on GPP changes among different land-cover types. Considering that the EASMNB is expected to shift northward under global warming, our study thus can provide important implications for the study of regional carbon cycles in a warmer world.

Importance of specific vital signs in nurses' recognition and response to deteriorating patients: A scoping review.

To explore the published research related to nurses' documentation and use of vital signs in recognising and responding to deteriorating patients. Scoping review of international, peer-reviewed research studies. Cumulative Index to Nursing and Allied Health Literature Complete, Medline Complete, American Psychological Association PsycInfo and Excerpta Medica were searched on 25 July 2023. Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews. Of 3880 potentially eligible publications, 32 were included. There were 26 studies of nurses' vital sign documentation: 21 adults and five paediatric. The most and least frequently documented vital signs were blood pressure and respiratory rate respectively. Seven studies focused on vital signs and rapid response activation or afferent limb failure. Five studies of vital signs used to trigger the rapid response system showed heart rate was the most frequent and respiratory rate and conscious state were the least frequent. Heart rate was least likely and oxygen saturation was most likely to be associated with afferent limb failure (n = 4 studies). Despite high reliance on using vital signs to recognise clinical deterioration and activate a response to deteriorating patients in hospital settings, nurses' documentation of vital signs and use of vital signs to activate rapid response systems is poorly understood. There were 21studies of nurses' vital sign documentation in adult patients and five studies related to children. A deeper understanding of nurses' decisions to assess (or not assess) specific vital signs, analysis of the value or importance nurses place (or not) on specific vital sign parameters is warranted. The influence of patient characteristics (such as age) or the clinical practice setting, and the impact of nurses' workflows of vital sign assessment warrants further investigation. No Patient or Public Contribution.

Biodiversity–production feedback effects lead to intensification traps in agricultural landscapes

Intensive agriculture with high reliance on pesticides and fertilizers constitutes a major strategy for ‘feeding the world’. However, such conventional intensification is linked to diminishing returns and can result in ‘intensification traps’—production declines triggered by the negative feedback of biodiversity loss at high input levels. Here we developed a novel framework that accounts for biodiversity feedback on crop yields to evaluate the risk and magnitude of intensification traps. Simulations grounded in systematic literature reviews showed that intensification traps emerge in most landscape types, but to a lesser extent in major cereal production systems. Furthermore, small reductions in maximal production (5–10%) could be frequently transmitted into substantial biodiversity gains, resulting in small-loss large-gain trade-offs prevailing across landscape types. However, sensitivity analyses revealed a strong context dependence of trap emergence, inducing substantial uncertainty in the identification of optimal management at the field scale. Hence, we recommend the development of case-specific safety margins for intensification preventing double losses in biodiversity and food security associated with intensification traps.