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Machine learning is increasingly being utilised across various domains of nutrition research due to its ability to analyse complex data, especially as large datasets become more readily available. However, at times, this enthusiasm has led to the adoption of machine learning techniques prior to a proper understanding of how they should be applied, leading to non-robust study designs and results of questionable validity. To ensure that research standards do not suffer, key machine learning concepts must be understood by the research community. The aim of this review is to facilitate a better understanding of machine learning in research by outlining good practices and common pitfalls in each of the steps in the machine learning process. Key themes include the importance of generating high-quality data, employing robust validation techniques, quantifying the stability of results, accurately interpreting machine learning outputs, adequately describing methodologies, and ensuring transparency when reporting findings. Achieving this aim will facilitate the implementation of robust machine learning methodologies, which will reduce false findings and make research more reliable, as well as enable researchers to critically evaluate and better interpret the findings of others using machine learning in their work.
We present a versatile method to generate asymmetric profiles and use it to create Gaussian-like, Cauchy-like, and Pseudo-Voigt-like profiles in terms of elementary functions. Furthermore, this method guarantees that the position and magnitude of the global maximum are independent of the asymmetry parameter, which substantially facilitates the convergence of an optimizer when fitting the peaks to real data. This investigation shows that the method developed here exhibits favorable practical properties and is particularly well suited for various applications where asymmetric peak profiles are observed. For example, in X-ray diffraction (XRD) measurements, the use of asymmetric profiles is essential for obtaining accurate outcomes. This is because diffractometers can introduce asymmetry into the diffraction peaks due to factors such as axial divergence in the beam path. By taking this asymmetry into account during the modeling process, the resulting data obtained can be corrected for instrumental effects. The results of the study show that the evaluation of XRD using nearly defect-free LaB6 allows a precise characterization of the peak broadening caused by the diffractometer itself. Additional size-strain effects of ZnO are determined by considering the asymmetric peak profile of the diffractometer.
Determining the chemical composition of sub-micrometer rock-forming minerals is still a challenging task. The electron probe micro-analyzer (EPMA) is considered the most accurate analytical way to obtain chemical data on amorphous and crystalline materials. However, performing EPMA analyses on sub-micrometer-sized grains is uncertain not recommended as the risk of obtaining analyses contaminated from the surrounding phases. A transmission electron microscope (TEM) equipped with an energy dispersive X-ray spectrometer (EDS) provides a greater spatial resolution, making it possible to obtain trustworthy chemical information on sub-micrometer-sized material. In this work, we present a fast and cheap data-reduction protocol for TEM-EDS chemical analysis, where k-factors derived experimentally for each element of interest and absorption correction are implemented. The results are compared with those determined using standardless and non-corrected TEM-EDS protocols. The k-factor for oxygen plays a fundamental role and its value should be calculated from compounds similar to the phase of interest. For absorption correction, the contribution of hydrogen during structural formula recalculation is taken into account, like a lower net valence of oxygen. The robustness of this protocol was tested by performing TEM-EDS analyses on white mica grains from metapelites, belonging to the Internal Ligurian Units exposed in the Northern Apennines, the chemical composition of which is well constrained. Such a protocol has proven to provide high-quality results from both statistical and crystallo-chemical perspectives. Remarkably, the tested data-reduction protocol for TEM-EDS analysis provided chemical compositions consistent with the EPMA results previously obtained from the same samples.
In this paper I look at the philosophical work of Sophie Germain, a woman mathematician and philosopher in nineteenth-century France. Although forgotten after her death, Germain’s contribution to mathematical sciences has been revisited and reappraised in recent years, but with very few notable exceptions, her philosophical work is still in the margins. In addressing this gap in the literature, I revisit Germain’s contribution to the history of ideas, particularly focusing on her contribution to process epistemologies. I argue that Germain was a truly transdisciplinary thinker avant la lettre and that her philosophical work should be mapped in the wider field of process philosophies. In doing so I make connections between Sophie Germain and Alfred Whitehead’s philosophy of the organism, particularly focusing on their take on feelings, prehensions, happy ideas, and events.
Although childhood maltreatment is associated with externalizing symptoms, not all individuals with these experiences develop externalizing behaviors and some exhibit positive adjustment. To address this multifinality, we used latent growth curve modeling to identify trajectories of (a) externalizing symptoms and (b) subjective wellbeing from late adolescence through young adulthood, determine whether types of childhood maltreatment and domains of executive functioning (EF) are associated with initial levels and growth (slopes) of externalizing symptoms or subjective wellbeing, and investigate whether EF moderates these relations. Participants were youth recruited at ages 10–12 (N = 775; 69% male, 31% female; 76% White, 21% Black/African American, 3% multiracial). We examined EF at ages 10–12, childhood maltreatment reported retrospectively at age 25, and externalizing symptoms and subjective wellbeing at multiple points between ages 16 and 28. Experience of childhood maltreatment and certain EF domains were associated with externalizing symptoms and subjective wellbeing at age 16. EF domains were associated with rate of change in externalizing problems, though not in expected directions. EF variables moderated the relation between maltreatment and initial levels of both outcomes and change in externalizing symptoms. Findings have implications for intervention efforts to mitigate externalizing problems and bolster positive adjustment.
The project aimed to characterize the exposure to seismic hazard in the emergency area of a high-complexity hospital in Cali, Colombia.
Methods
The occupancy of the emergency area was analyzed over 6 months, determining the value of material elements exposed to the seismic hazard. Four phases were executed: search for pre-existing information, occupancy analysis, evaluation of exposed assets, and results analysis. The information was analyzed using a Geographic Information System (GIS), which allowed the visualization of demographic behavior in different locations and times.
Results
The results confirmed that the seismic hazard is high, exacerbated by local geomechanical characteristics. It was observed that the average occupancy of most studied areas exceeded capacity. The value of the exposed assets was estimated at COP 3 221 008 640 (USD 959 844.76), the demolition value at COP 10 582 770 000 (USD 3 153 613.49), and the reconstruction value at COP 30 293 640 275 (USD 9 027 356.03). In the worst-case scenario, the losses were equivalent to 12.4% of the hospital’s annual budget.
Conclusions
The data allow the hospital to take preventive measures and educate the staff to identify and mitigate critical areas. It also contributes to the knowledge of the approximate value of economic losses and the impact of potential human losses.
Suicide accounts for a proportion of the early mortality in people affected by psychotic disorders. The early phase of illness can represent a particularly high-risk time for suicide. Therefore, in a cohort of young people presenting with first-episode psychosis, this study aimed to determine: (i) the prevalence of suicidal ideation, intent with plan and self-harm and any associated demographic or clinical factors and (ii) the prevalence of depressive symptoms and any associated demographic or clinical factors.
Methods:
Young people with a first episode of psychosis attending the Early Psychosis Prevention and Intervention Centre in Melbourne were included. Suicidal behaviours were recorded using a structured risk assessment – ‘Clinical Risk Assessment and Management in the Community’, and depressive symptoms were measured using the PHQ-9.
Results:
A total of 355 young people were included in the study. 57.2% were male, 95.4% were single and over one quarter were migrants. At the time of presentation, 34.6% had suicidal ideation, 6.2% had suicidal intent with a plan, and 21.4% had engaged in self-harm before their presentation. Combined, 39.7% (n = 141) presented with suicidal ideation, intent with plan or self-harm. A total of 71.5% (n = 118) had moderately severe or severe depressive symptoms, which was strongly associated with suicidal ideation or behaviours at the time of presentation (OR = 4.21, 95% C.I. 2.10–8.44).
Conclusions:
Depressive symptoms, self-harm and suicidal behaviours are commonly present in the early phases of a psychotic disorder, which has important clinical implications for assessment and management.
Aiming at the problem of fast and consensus obstacle avoidance of multiple unmanned aerial systems in undirected network, a multi-quadrotor unmanned aerial vehicles UAVs (QUAVs) finite-time consensus obstacle avoidance algorithm is proposed. In this paper, multi-QUAVs establish communication through the leader-following method, and the formation is led by the leader to fly to the target position automatically and avoid obstacles autonomously through the improved artificial potential field method. The finite-time consensus protocol controls multi-QUAVs to form a desired formation quickly, considering the existence of communication and input delay, and rigorously proves the convergence of the proposed protocol. A trajectory segmentation strategy is added to the improved artificial potential field method to reduce trajectory loss and improve the task execution efficiency. The simulation results show that multi-QUAVs can be assembled to form the desired formation quickly, and the QUAV formation can avoid obstacles and maintain the formation unchanged while avoiding obstacles.
In response to its severe environmental problems, China's government is pursuing a national goal to “build an ecological civilization.” One approach used to theorize about China's environmental governance is environmental authoritarianism (EA). Drawing on work in political steering theory and the governmentality tradition, this paper addresses the “soft” side of EA by analysing the eco-civilization discourse on food and eating in policy documents and consumer guidebooks. It argues that China's EA works not only through coercion but also through citizen responsibilization. The emerging discourse of eco-civilization outlines a cultural nationalist programme focused on virtue and vice, in which consumer behaviour is morally charged. Consumers are expected to cultivate themselves into models of ecological morality to fulfil their civic duty and support the state's goal of building an ecological civilization.
This paper presents Hybrid Modified A* (HMA*) algorithm which is used to control an omnidirectional mecanum wheel automated guided vehicle (AGV). HMA* employs Modified A* and PSO to determine the best AGV path. The HMA* overcomes the A* technique’s drawbacks, including a large number of nodes, imprecise trajectories, long calculation times, and expensive path initialization. Repetitive point removal refines Modified A*’s path to locate more important nodes. Real-time hardware control experiments and extensive simulations using Matlab software prove the HMA* technique works well. To evaluate the practicability and efficiency of HMA* in route planning and control for AGVs, various algorithms are introduced like A*, Probabilistic Roadmap (PRM), Rapidly-exploring Random Tree (RRT), and bidirectional RRT (Bi-RRT). Simulations and real-time testing show that HMA* path planning algorithm reduces AGV running time and path length compared to the other algorithms. The HMA* algorithm shows promising results, providing an enhancement and outperforming A*, PRM, RRT, and Bi-RRT in the average length of the path by 12.08%, 10.26%, 7.82%, and 4.69%, and in average motion time by 21.88%, 14.84%, 12.62%, and 8.23%, respectively. With an average deviation of 4.34% in path length and 3% in motion time between simulation and experiments, HMA* closely approximates real-world conditions. Thus, the proposed HMA* algorithm is ideal for omnidirectional mecanum wheel AGV’s static as well as dynamic movements, making it a reliable and efficient alternative for sophisticated AGV control systems.
This brief review summarises the efficacy of the treatments for post-irradiation otitis media with effusion.
Method
Literature review.
Results
Studies suggest that tympanocentesis is recommended for patients with post-irradiation otitis media with effusion The efficacy of balloon dilatation Eustachian tube for post-irradiation otitis media with effusion remains unclear.
Conclusion
The efficacy of different treatments for post-irradiation otitis media with effusion is unclear. Therefore, there are no recognised clinical guidelines, and long-term clinical research with a large sample size is needed.
Hunting pits are common archaeological features in northern landscapes, mainly researched from a morphological perspective, as dateable material is scarce. This has resulted in a limited and generalized understanding of hunting pits. While human land use in non-agrarian settings is often subtle, it can still be understood in terms of distribution and management by using relational approaches that address spatial organization and the nature of land use. This study, based on extensive field surveys and GIS analyses and guided by the concept of landscape domestication, has identified the characteristics of approximately 1500 previously unrecorded hunting pits in the Arctic region of Sweden. It examines how hunting pit systems, their selective spatial distribution, and strategic arrangement can be seen as expressions of landscape domestication. The author concludes that, through profound knowledge and deliberate resource management, communities invested in the landscape, generating dense spatial and temporal manifestations in the form of hunting pits. These systems reflect an elaborate hunting technique involving the whole landscape.
This article proposes to examine an obscure episode in the long career of the well-known Welsh Baptist missionary Timothy Richard, who went to China in 1870 and spent most of the next 45 years there. Richard attended the second general Protestant Missionary Conference in Shanghai in 1890 and served on committees, spoke at meetings, and presented a paper. The information available, though scanty, confirms key components of his approach to mission at this time: his goal was to achieve Chinese ‘salvation’ by promoting the principles and practices of what might be broadly termed ‘Christian civilisation’; his means of propagation was the written word; his preferred point of entry was contact with members of China's ‘ruling’ or ‘governing’ classes. In response to his call for action against anti-Christian, anti-Church propaganda, the conference appointed a permanent committee, with Richard as chair, to present an address on the ‘missionary question’ to the Qing government. It was this project that took him to Beijing in 1895, where he met with court officials and members of the educated elite, and established connections that involved him, rather haphazardly, in court politics in 1898. The sequence of events sheds light on an intriguing aspect of Sino–foreign relations during the late Qing period.
The COVID-19 pandemic challenged older adults’ health behaviours, making it even more difficult to engage in healthy diets and physical activity than it had been prepandemic. A resource to promote these could be social support. This study uses data from 136 older adults (Mage = 71.39 years, SD = 5.15, range: 63–87) who reported their daily fruit and vegetable consumption, steps, and health-behaviour-specific support from a close other every evening for up to 10 consecutive days. Findings show that on days when participants reported more emotional support than usual, fruit and vegetable consumption and step counts were higher. Daily instrumental support was positively associated with step counts, only. Participants receiving more overall emotional support across the study period consumed more fruit and vegetables; no parallel person-level association was found for overall steps. There were no significant interactions between dyad type and support links for our outcomes.
This paper investigates an encounter in a multilingual welfare setting where a child with migration experiences is the rights holder. The empirical basis is a story told by the interpreter Nour, about an encounter at a youth clinic. The analysis is guided by the concept of linguistic (in)justice. Findings show that linguistic injustices are a result of the reproduction of monolingual mindsets and linguistic paternalism in the intersection of layers of power asymmetries when welfare professionals do not let the child client talk, when adults talk on the child’s behalf, and the speakers give priority to the majority language on behalf of the language that the child speak. These findings suggest that professionals and policymakers must recognise the special conditions of a multilingual setting and children as a particular group of language rights holders.