To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Phase transitions take place when a substance changes from one physical state to another, and they are of fundamental importance in science and engineering with applications ranging from superconductivity to climate science. This Student's Guide coherently examines the underlying dynamics of phase transitions, beginning with a detailed description of phase diagrams and their graphical interpretation, before introducing the van der Waals equations of state. It progresses to more advanced topics such as mean-field theory in magnetic systems, phase transitions in binary mixtures, and other more exotic types of phase transitions in liquid crystals, superconductors, and superfluids. A separate chapter covers the unique and subtle phase transition dynamics of water. The book includes numerous worked examples and problems, with full solutions available online. It will be a valuable resource for students and lifelong learners in the physical sciences and engineering.
Chapter 5 explores phase transitions in magnetic systems. We start by defining the basic magnetic phases, such as paramagnetic and ferromagnetic. We show how this relates to the magnetic signatures seen in ocean floors due to seafloor spreading. Next, we introduce the Ising model as a simple theoretical model to help understand magnetic phase transitions. We solve the Ising model with the theoretical method known as mean-field theory, and we show how to use cobwebbing to give numerical solutions to the mean-field equations. Also covered are the critical exponents that show the behavior in the close vicinity of the critical point. We also explore Landau expansions and show how simple considerations of series expansions can give deep insight into phase transitions in magnetic systems. Finally, hysteresis is discussed, and we relate it to both magnetic systems and everyday situations.
Chapter 6 looks at the phase behavior of binary mixtures, as opposed to phases in systems with only a single component. Adding a second component immediately results in a rich variety of phase behavior. For example, we cover lens-shaped phase diagrams, the simplest type of behavior in binary mixtures. We show how these diagrams are related to the process of distillation. In more complex systems, these lens-shaped diagrams can pinch in and produce azeotropes. Similar behavior in liquid–solid systems result in eutectic points. Finally, we explore binary liquid mixtures and the case of closed-loop phase diagrams, with their re-entrant – or upside-down – phase transitions. To study these systems, we introduce a generalized Ising-like model referred to as the WV model. This model shows the crucial role played by hydrogen bonds in these systems.
Chapter 1 explores the most common phases of matter: solid, liquid, and gas. We cover the pressure–temperature phase diagrams that show the boundaries separating these phases. This includes special points such as the critical point and the triple point. Next, we consider the Gibbs free energy and its connection to phase transitions. This leads naturally to the Clausius–Clapeyron equation, which relates the slope of phase boundaries to the entropy and volumes of the coexisting phases. We then turn to pressure–volume phase diagrams, showing explicitly the coexistence that occurs in first-order, discontinuous phase transitions.
Chapter 2 delves into the interconnections between heat, entropy, and temperature, and their relation to phases of matter. We cover heat capacities, specific heats, and the relation they have to the change in entropy. Similarly, we cover latent heat and its direct connection to entropy and enthalpy. We then return to the Clausius–Clapeyron equation and express it in terms of quantities that are readily measured experimentally, such as heat, temperature, and density. It is then applied to both the solid–liquid and liquid–vapor phase boundaries. Finally, we turn to the topic of heat engines and refrigerators, emphasizing the Carnot cycle and its connection to maximum efficiency and absolute temperature.
Chapter 4 is devoted to the van der Waals equation and its relation to real substances whose behavior differs from that of ideal gases. We start by exploring two basic alterations to the ideal gas isotherm and their implications for real gases. We examine the van der Waals isotherm in detail, showing regions where the substance is metastable or unstable. We then present the Maxwell construction that connects the liquid and gas phases, circumventing the instabilities. This is the well-known equal-area construction. The amount of material in the coexisting phases is determined with the lever rule. Finally, we look at the critical point in detail and show how the use of corresponding states connects the behavior of a wide range of physical systems.
Chapter 7 examines phases that have been discovered and investigated in modern times. These include plasmas, liquid crystals, superfluids, superconductors, and Bose–Einstein condensates. We cover the behavior of these systems and the basic results known about them. In liquid crystals we show the different types of phases, such as isotropic, nematic, and smectic. In quantum phases, we discuss the discovery of superconductivity, and then examine in detail the ideas behind Cooper pairs and BCS theory.
Chapter 3 is devoted to the special case of water, its phases, and phase transitions. We start with the structure of the water molecule itself, and point out that it is strongly dipolar in its distribution of electric charge. We explore its basic phases, including vapor (steam), liquid (water), and solid (ice). We show the structure of ice and point out that its open structure leads to a density that is lower than that of the liquid phase. The phase diagram of water is presented, and special attention is paid to the boundary between the liquid and solid phases, which has a negative slope in a pressure-versus-temperature phase diagram, in contrast to most other substances. We point out how this negative slope is related to floating icebergs and freshwater lakes that freeze from the top down. Next, we apply the Clausius–Clapeyron relation to the liquid–gas phase boundary, and point out the location of the critical point. We explore the topics of relative humidity and dew points, and the relation these quantities have to our physical experience of mugginess. Finally, we consider hurricanes and show how they are effectively large heat engines operating in the atmosphere.
Suicide is one of the leading causes of maternal mortality in high-income countries. Suicide prevention policy calls for maternity care providers to actively explore potential risk factors and self-reported suicidal intent with perinatal women. However, longitudinal research establishing the prevalence of suicidal intent and associated risk factors with representative cohorts of perinatal women in the UK is lacking.
Aims
This secondary analysis aimed to determine the prevalence of suicidal intent in pregnancy and postpartum, and examine factors associated with suicidal intent.
Method
A total of 2210 women completed self-report assessments in early, mid- and late pregnancy and early postpartum. Suicidal intent was measured with the item ‘I have made plans to end my life’ (Clinical Outcomes in Routine Evaluation-10). Other variables included anxiety (Generalised Anxiety Disorder-7, Stirling Antenatal Anxiety Scale), depression (Whooley Questions), health status (EuroQoL EQ-5D-5L), mental health history, and sociodemographic and pregnancy variables.
Results
Suicidal intent was indicated by 72 participants (3.26%, 95% CI 2.56–4.09) on at least one occasion. Suicidal intent was significantly associated with having negative feelings about pregnancy (odds ratio 3.63, 95% CI 1.99–6.63), unplanned pregnancy (odds ratio 2.03, 95% CI 1.25–3.30), previous and current mental health problems (odds ratio 3.70 95% CI 2.19–6.25), symptoms causing daily difficulties (odds ratio 5.94 95% CI 3.32–10.66) and being of Asian (odds ratio 2.62, 95% CI 1.44–4.77) or mixed ethnicity (odds ratio 3.43, 95% CI 1.49–7.93). Poor physical health in early pregnancy was also associated with suicidal intent (t = 6.37, d.f. = 2108, p < 0.001).
Conclusions
These findings indicate that daily difficulties associated with mental health, and negative feelings about pregnancy are important and underexplored risk factors for experiencing suicidal intent. The findings also corroborate previous research indicating that previous and existing mental health problems and ethnicity are significant risk factors.
We present the Galactic Plane Monitor (GPM), a dedicated low-frequency radio transient survey conducted with the Murchison Widefield Array at 200 MHz. The GPM targets an underexplored region of transient parameter space spanning timescales from seconds to weeks, where recent discoveries of unusual Galactic radio sources – including long-period transients and other coherent emitters – suggest a rich and largely uncharted population. Leveraging the MWA’s wide field of view, we carried out 72 observing epochs between June 2022 and March 2025, searching $\sim5$ 000 sq. deg. of the Southern Galactic plane. We developed a multi-stage processing pipeline to search for variability across a broad range of timescales, from intra-snapshot (4 s to minutes), to inter-snapshot (minutes to hours), and inter-epoch (days to years). This approach combines image differencing, statistical variability metrics, and visual inspection to robustly identify transient candidates while mitigating the effects of ionospheric variability and imaging artefacts. In parallel, we produced deep mosaics using a ‘lucky imaging’ strategy to maximise sensitivity to faint persistent sources. We present the detections of five long-period radio transients, seven eclipsing binary millisecond pulsars, seven intrinsically variable pulsars, and the detection of refractive interstellar scintillation and night-time interplanetary scintillation. The GPM represents a key step toward fully mapping the dynamic low-frequency radio sky and informs the design of next-generation transient surveys with the SKA Observatory.
Over the last decade, the Australian Dark Energy (OzDES) collaboration has used Reverberation Mapping to measure the masses of high redshift supermassive black holes. Here we present the final review and analysis of this OzDES reverberation mapping campaign. These observations use $6-7$ years of photometric and spectroscopic observations of 735 Active Galactic Nuclei (AGN) in the redshift range $z\in [0.13, 3.85]$ and bolometric luminosity range $\log_{10}(L_{\mathrm{bol}})\in [44.3, 47.5] \; \mathrm{erg/s}$. Both photometry and spectra are observed in visible wavelengths, allowing for the physical scale of the AGN broad line region to be estimated from reverberations of the H$\beta$, MgII and CIV emission lines. We successfully use reverberation mapping to constrain the masses of 62 super-massive black holes, and combine with existing data to fit a power law to the lag-luminosity relation for the H$\beta$ and MgII lines with a scatter of $\sim0.25$ dex, the tightest yet identified, fit specifically for consistency with high redshift AGN. We fit a similarly constrained relation for CIV, resolving a tension with the low luminosity literature AGN by accounting for selection effects arising from finite survey length. We also examine the impact of emission line width and luminosity (related to accretion rate) in reducing the scatter of these scaling relationships and find no significant improvement over the lag-only approach for any of the three lines. Using these relations, we further estimate the masses and accretion rates of 246 AGN with single epoch methods. We also use these relations to estimate the relative sizes of the H$\beta$, MgII and CIV emitting regions, and find evidence that the MgII emission may occur further out than H$\beta$. In short, we provide a comprehensive benchmark of high redshift AGN reverberation mapping at the close of this most recent generation of surveys, including light curves, time-delays, and a set of significantly improved radius-luminosity relations for use with high-redshift populations.
Techniques using multiple tracers of the large scale structure of the universe show great promise for examining the fundamentals of our Universe’s cosmology. Such techniques rely on the different relationship between the overdensity of tracers and the broader matter overdensity, enabling cosmic-variance-free tests of primordial non-Gaussianity in the initial curvature perturbations. There is a great opportunity for current and future all-sky extra-galactic radio surveys to make use of this technique to test for non-Gaussianity at a precision greater than existing all-sky constraints from the cosmic microwave background. To realise this goal, there is a need for accurate simulations. Previous radio galaxy simulations have either been realistic but covering only a small area (and so unhelpful for cosmological forecasts), or all-sky dark matter only cosmological simulations but having no connection to a real radio galaxy population. In this study, we use the FLAMINGO suite of cosmological surveys, as well as the matching of dark matter halos to radio galaxy population, to create an accurate sky simulation in order to examine the feasibility of multi-tracer techniques. We present an analysis of the clustering (with a bias model for the simulation), as well as redshift distributions, source counts and radio luminosity functions, and discuss future work on non-Gaussianity detection.
Negative symptoms are a core feature of psychosis and a strong predictor of functional outcome, yet they remain difficult to assess due to conceptual and methodological challenges. Although abnormalities in emotional expressivity and emotional reactivity are documented in individuals at clinical high-risk (CHR) for psychosis, these domains are typically examined independently, and their relationship remains unclear.
Methods
Facial expressions were quantified using automated facial analysis (FaceReader) during clinical interviews in 101 CHR individuals and 41 healthy controls (HCs). Emotional reactivity was assessed using the International Affective Picture System (IAPS). Principal component analyses were conducted on facial expression and emotional reactivity variables within the CHR group. Associations with negative symptom domains, positive symptoms, and social functioning were examined using correlational and two-step regression analyses.
Results
CHR participants showed greater disgust expression than HCs (g = 0.40, uncorrected p = .0025, FDR-corrected p = .023). Facial expression and emotional reactivity components showed minimal associations (p > .20). Reduced high-arousal facial expressions were associated with greater emotional expressivity deficits (r = −.22, p = .027), whereas greater happy facial expression was associated with more motivation and pleasure impairment (r = .21, p = .044). Happy facial expression explained additional variance in motivation symptoms beyond emotional reactivity (ΔR2 = .089, p = .008).
Conclusions
Automated facial expression captured variance in some negative symptom domains that was largely independent of emotional reactivity. These findings support the use of multimodal, objective assessments to improve characterization of negative symptoms in psychosis risk.