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View article: PRIMAger General Observer programs: a π-sr Infrared Survey and other General Observer wide-field programs
PRIMAger General Observer programs: a π-sr Infrared Survey and other General Observer wide-field programs Open
The PRobe far-Infrared Mission for Astrophysics (PRIMA) is a cryogenically-cooled, far-infrared (far-IR) observatory expected to begin serving the astronomical community by early 2030. The mission features two advanced instruments: PRIMAge…
View article: Sieging HELM’s deep: PRIMA unveils the far-infrared properties of highly extincted low-mass galaxies
Sieging HELM’s deep: PRIMA unveils the far-infrared properties of highly extincted low-mass galaxies Open
Although the majority of star-forming galaxies show a tight correlation between stellar mass and dust extinction, recent James Webb Space Telescope observations have revealed a peculiar population of Highly Extincted Low-Mass (HELM) galaxi…
View article: Confusion of extragalactic sources in the far-infrared: A baseline assessment of the performance of PRIMAger in intensity and polarization
Confusion of extragalactic sources in the far-infrared: A baseline assessment of the performance of PRIMAger in intensity and polarization Open
Aims. Because of their limited angular resolution, far-infrared telescopes are usually affected by the confusion phenomenon. Since several galaxies can be located in the same instrumental beam, only the brightest objects emerge from the fl…
View article: Overcoming confusion noise with hyperspectral imaging from PRIMAger
Overcoming confusion noise with hyperspectral imaging from PRIMAger Open
The PRobe far-Infrared Mission for Astrophysics (PRIMA) concept aims to perform mapping with spectral coverage and sensitivities inaccessible to previous FIR space telescopes. PRIMA’s imaging instrument, PRIMAger, provides unique hyperspec…
View article: Probabilistic and progressive deblended far-infrared and sub-millimetre point source catalogues
Probabilistic and progressive deblended far-infrared and sub-millimetre point source catalogues Open
Context. Single-dish far-infrared (far-IR) and sub-millimetre (sub-mm) point source catalogues and their connections with galaxy catalogues at other wavelengths are of paramount importance to studying galaxy evolution. However, due to the …
View article: Probabilistic and progressive deblended far-infrared and sub-millimetre point source catalogues I. Methodology and first application in the COSMOS field
Probabilistic and progressive deblended far-infrared and sub-millimetre point source catalogues I. Methodology and first application in the COSMOS field Open
Single-dish far-infrared (far-IR) and sub-millimetre (sub-mm) point source catalogues and their connections with catalogues at other wavelengths are of paramount importance. However, due to the large mismatch in spatial resolution, cross-m…
View article: Confusion of extragalactic sources in the far infrared: a baseline assessment of the performance of PRIMAger in intensity and polarization
Confusion of extragalactic sources in the far infrared: a baseline assessment of the performance of PRIMAger in intensity and polarization Open
Because of their limited angular resolution, far-infrared telescopes are usually affected by confusion phenomenon. Since several galaxies can be located in the same instrumental beam, only the brightest objects emerge from the fluctuations…
View article: The <i>Spitzer</i> Extragalactic Representative Volume Survey and DeepDrill extension: clustering of near-infrared galaxies
The <i>Spitzer</i> Extragalactic Representative Volume Survey and DeepDrill extension: clustering of near-infrared galaxies Open
We have measured the angular autocorrelation function of near-infrared galaxies in SERVS + DeepDrill, the Spitzer Extragalactic Representative Volume Survey and its follow-up survey of the Deep Drilling Fields, in three large fields totall…
View article: The Spitzer Extragalactic Representative Volume Survey and DeepDrill extension: clustering of near-infrared galaxies
The Spitzer Extragalactic Representative Volume Survey and DeepDrill extension: clustering of near-infrared galaxies Open
We have measured the angular auto-correlation function of near-infrared galaxies in SERVS+DeepDrill, the Spitzer Extragalactic Representative Volume Survey and its follow-up survey of the Deep Drilling Fields, in three large fields totalli…
View article: Forecasting vegetation condition with a Bayesian auto-regressive distributed lags (BARDL) model
Forecasting vegetation condition with a Bayesian auto-regressive distributed lags (BARDL) model Open
Droughts form a large part of climate- or weather-related disasters reported globally. In Africa, pastoralists living in the arid and semi-arid lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation stress in thes…
View article: A dynamic hierarchical Bayesian approach for forecasting vegetation condition
A dynamic hierarchical Bayesian approach for forecasting vegetation condition Open
Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vast areas wi…
View article: Stellar and black hole assembly in<i>z</i>&lt; 0.3 infrared-luminous mergers: intermittent starbursts versus super-Eddington accretion
Stellar and black hole assembly in<i>z</i>< 0.3 infrared-luminous mergers: intermittent starbursts versus super-Eddington accretion Open
We study stellar and black hole mass assembly in a sample of 42 infrared-luminous galaxy mergers at z < 0.3 by combining results from radiative transfer modelling with archival measures of molecular gas and black hole mass. The ratios o…
View article: Forecasting agricultural drought using VCI and VHI across Africa
Forecasting agricultural drought using VCI and VHI across Africa Open
<p>Droughts are complex and a major threat globally as they can cause substantial damage to society, especially in regions that depend on rain-fed agriculture. It is understood that acting early based on alerts provided by early warn…
View article: Comment on nhess-2021-290
Comment on nhess-2021-290 Open
Abstract. Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vas…
View article: Comment on nhess-2021-223
Comment on nhess-2021-223 Open
Abstract. Droughts form a large part of climate- or weather-related disasters reported globally. In Africa, pastoralists living in the arid and semi-arid lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation str…
View article: Comment on nhess-2021-290
Comment on nhess-2021-290 Open
Abstract. Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vas…
View article: A new look at local ultraluminous infrared galaxies: the atlas and radiative transfer models of their complex physics
A new look at local ultraluminous infrared galaxies: the atlas and radiative transfer models of their complex physics Open
We present the ultraviolet to submillimetre spectral energy distributions (SEDs) of the HERschel Ultra Luminous Infrared Galaxy Survey (HERUS) sample of 42 local ultraluminous infrared galaxies (ULIRGs) and fit them with a Markov chain Mon…
View article: A Dynamic Hierarchical Bayesian Approach for Forecasting Vegetation Condition
A Dynamic Hierarchical Bayesian Approach for Forecasting Vegetation Condition Open
Agricultural drought, which occurs due to a significant reduction in the moisture required for vegetation growth, is the most complex amongst all drought categories. The onset of agriculture drought is slow and can occur over vast areas wi…
View article: Comment on nhess-2021-223
Comment on nhess-2021-223 Open
Abstract. Droughts form a large part of climate/weather-related disasters reported globally. In Africa, pastoralists living in the Arid and Semi-Arid Lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation stress i…
View article: Forecasting Vegetation Condition with a Bayesian Auto-regressive Distributed Lags (BARDL) Model
Forecasting Vegetation Condition with a Bayesian Auto-regressive Distributed Lags (BARDL) Model Open
Droughts form a large part of climate/weather-related disasters reported globally. In Africa, pastoralists living in the Arid and Semi-Arid Lands (ASALs) are the worse affected. Prolonged dry spells that cause vegetation stress in these re…
View article: HELP: the <i>Herschel</i> Extragalactic Legacy Project
HELP: the <i>Herschel</i> Extragalactic Legacy Project Open
We present the Herschel Extragalactic Legacy Project (HELP). This project collates, curates, homogenizes, and creates derived data products for most of the premium multiwavelength extragalactic data sets. The sky boundaries for the first d…
View article: A hyperluminous obscured quasar at a redshift of <i>z</i> ≈ 4.3
A hyperluminous obscured quasar at a redshift of <i>z</i> ≈ 4.3 Open
In this work we report the discovery of the hyperluminous galaxy HELP_J100156.75 + 022344.7 at a photometric redshift of $z$ ≈ 4.3. The galaxy was discovered in the Cosmological Evolution Survey (COSMOS) field, one of the fields studied by…
View article: Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case–control study using electronic primary care records
Automated detection of patients with dementia whose symptoms have been identified in primary care but have no formal diagnosis: a retrospective case–control study using electronic primary care records Open
Objectives UK statistics suggest only two-thirds of patients with dementia get a diagnosis recorded in primary care. General practitioners (GPs) report barriers to formally diagnosing dementia, so some patients may be known by GPs to have …
View article: Could dementia be detected from UK primary care patients’ records by simple automated methods earlier than by the treating physician? A retrospective case-control study
Could dementia be detected from UK primary care patients’ records by simple automated methods earlier than by the treating physician? A retrospective case-control study Open
Background: Timely diagnosis of dementia is a policy priority in the United Kingdom (UK). Primary care physicians receive incentives to diagnose dementia; however, 33% of patients are still not receiving a diagnosis. We explored automating…
View article: Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study - Extended Data
Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study - Extended Data Open
Extended data for Article published in Wellcome Open Research (Appendices 1,2 & 3). Abstract of Article: Background: Timely diagnosis of dementia is a policy priority in the United Kingdom (UK). Primary care physicians receive incentives t…
View article: Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study - Extended Data
Could dementia be detected from UK primary care patients' records by simple automated methods earlier than by the treating physician? A retrospective case-control study - Extended Data Open
Extended data for Article published in Wellcome Open Research (Appendices 1,2 & 3). Abstract of Article: Background: Timely diagnosis of dementia is a policy priority in the United Kingdom (UK). Primary care physicians receive incentives t…
View article: Forecasting vegetation condition to mitigate the impacts of drought in Kenya.
Forecasting vegetation condition to mitigate the impacts of drought in Kenya. Open
<p>Droughts are a major threat globally as they can cause substantial damage to society, especially in regions that depend on rain-fed agriculture. Acting early based on alerts provided by early warning systems (EWS) can potentially …
View article: Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data
Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data Open
Background: Patient health information is collected routinely in electronic health records (EHRs) and used for research purposes, however, many health conditions are known to be under-diagnosed or under-recorded in EHRs. In research, missi…