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Hypereutrophic Grand Lake St Marys (GLSM) is a large (52 km2), shallow (mean depth ~ 1.5 m) reservoir in an agricultural watershed of western Ohio (USA). GLSM suffers from extensive cyanobacterial harmful algal blooms (cHABs) that persist much of the year, resulting in total microcystin concentrations that are often above safe contact levels. Over two summers (2020 and 2021), two phosphorus (P) binding agents (alum and lanthanum/bentonite clay Phoslock, respectively), in conjunction with a P-binding algaecide (SeClear) in 2021, were applied to a 3.24-ha enclosure to mitigate cHAB activity and create a ‘safe’ recreational space for the public. We evaluated these applications by comparing total phosphorus (TP), total microcystin, total chlorophyll, and phycocyanin concentrations within the enclosure and the adjacent lake. Some evidence for short-term reductions in TP, microcystin, chlorophyll, and phycocyanin concentrations were observed following each P binding treatment, but all parameters rapidly returned to or exceeded pre-application levels within 2–3 weeks after treatment. These results suggest that in-lake chemical treatments to mitigate cHABs are unlikely to provide long-lasting benefits in these semi-enclosed areas of large, shallow, hypereutrophic systems, and resources may be better applied toward reducing external nutrient loads (P and nitrogen) from the watershed.
Response to lithium in patients with bipolar disorder is associated with clinical and transdiagnostic genetic factors. The predictive combination of these variables might help clinicians better predict which patients will respond to lithium treatment.
Aims
To use a combination of transdiagnostic genetic and clinical factors to predict lithium response in patients with bipolar disorder.
Method
This study utilised genetic and clinical data (n = 1034) collected as part of the International Consortium on Lithium Genetics (ConLi+Gen) project. Polygenic risk scores (PRS) were computed for schizophrenia and major depressive disorder, and then combined with clinical variables using a cross-validated machine-learning regression approach. Unimodal, multimodal and genetically stratified models were trained and validated using ridge, elastic net and random forest regression on 692 patients with bipolar disorder from ten study sites using leave-site-out cross-validation. All models were then tested on an independent test set of 342 patients. The best performing models were then tested in a classification framework.
Results
The best performing linear model explained 5.1% (P = 0.0001) of variance in lithium response and was composed of clinical variables, PRS variables and interaction terms between them. The best performing non-linear model used only clinical variables and explained 8.1% (P = 0.0001) of variance in lithium response. A priori genomic stratification improved non-linear model performance to 13.7% (P = 0.0001) and improved the binary classification of lithium response. This model stratified patients based on their meta-polygenic loadings for major depressive disorder and schizophrenia and was then trained using clinical data.
Conclusions
Using PRS to first stratify patients genetically and then train machine-learning models with clinical predictors led to large improvements in lithium response prediction. When used with other PRS and biological markers in the future this approach may help inform which patients are most likely to respond to lithium treatment.
The mass changes of the Gulf of Alaska (GoA) glaciers are computed from the Gravity Recovery and Climate Experiment (GRACE) inter-satellite range-rate data for the period April 2003–September 2007. Through the application of unique processing techniques and a surface mass concentration (mascon) parameterization, the mass variations in the GoA glacier regions have been estimated at high temporal (10 day) and spatial (2 × 2 arc-degrees) resolution. The mascon solutions are directly estimated from a reduction of the GRACE K-band inter-satellite range-rate data and, unlike previous GRACE solutions for the GoA glaciers, do not exhibit contamination by leakage from mass change occurring outside the region of interest. The mascon solutions reveal considerable temporal and spatial variation within the GoA glacier region, with the largest negative mass balances observed in the St Elias Mountains including the Yakutat and Glacier Bay regions. The most rapid losses occurred during the 2004 melt season due to record temperatures in Alaska during that year. The total mass balance of the GoA glacier region was −84 ± 5 Gt a−1 contributing 0.23 ± 0.01 mm a−1 to global sea-level rise from April 2003 through March 2007. Highlighting the large seasonal and interannual variability of the GoA glaciers, the rate determined over the period April 2003–March 2006 is −102 ± 5 Gt a−1, which includes the anomalously high temperatures of 2004 and does not include the large 2007 winter balance-year snowfall. The mascon solutions agree well with regional patterns of glacier mass loss determined from aircraft altimetry and in situ measurements.
Parachurch organizations are Christian, heavily evangelical Protestant, 501(c)(3) public charities focused on providing religious goods and services outside of any congregational or denominational sponsorship. The parachurch sector in the United States has been growing rapidly in recent decades, yet this growth has been highly uneven across communities. Many communities have very few parachurch organizations, while a few exhibit incredibly higher concentrations of them than would be expected based only upon their religious composition. Using IRS records, we isolate communities with the greatest concentrations of parachurch organizations, and then, drawing upon ideas developed in studies of industrial districts, we address this puzzle by exploring four of those communities, which we refer to as spiritual districts: Tulsa, Oklahoma; Nashville, Tennessee; Colorado Springs, Colorado; and Washington, D.C. We utilize interviews with organizational leaders and archival records to attempt to account for the makeup of and dynamics of each of the four unique clusters of parachurch organizations, concluding with a discussion of how understanding spiritual districts can contribute to greater understanding of the phenomenon of industrial districts.
To evaluate the greenhouse gas emissions (GHGE) associated with the diet of Irish adults.
Design
GHGE were estimated by applying conversion factors to habitual food consumption data taken from the National Adult Nutrition Survey, which was representative of the population. Descriptive analyses were undertaken for GHGE for the total population, as well as accounting for energy misreporting and across categories of sociodemographic and socio-economic factors and tertiles of emissions.
Setting
Republic of Ireland.
Subjects
Adults aged 18–87 years (n 1500).
Results
The GHGE derived from daily dietary intakes was estimated as 6·5 kg of CO2 equivalents (CO2eq) per person. Males, younger consumers, those with secondary education and student employment status were associated with significantly higher GHGE. Red meat was the highest contributor to GHGE with 1646 g CO2eq arising from a mean intake of 47 g/d. Dairy and starchy staples were the next largest dietary GHGE sources, with mean daily emissions of 732 g CO2eq and 647 g CO2eq, respectively. The lowest emissions were associated with consumption of vegetables, fruits and legumes/pulses/nuts.
Conclusions
Based on profiling using actual food consumption data, it is evident that one single measure is not sufficient and a range of evidence-based mitigation measures with potential to lower emissions throughout the food chain should be considered. The research contributes towards an improved understanding of the climatic impact of the dietary intakes of Irish adults and can serve to inform a sustainability framework to guide action in food and nutrition policy development.
The idea that constraints on well-formedness play a role in determining phonological alternations, which dates back at least to Kisseberth’s (1970) pioneering work, has by now achieved almost universal acceptance. A tacit assumption of this program, largely unquestioned even in recent research, is the notion that valid constraints must state true generalizations about surface structure or some other level of phonological representation. Anything different would seem antithetical to the very idea of a well-formedness constraint.
Little is known about vitamin D status in preterm infants and their response to supplementation. To investigate this, we assessed serum 25-hydroxyvitamin D (25OHD) levels using RIA in a consecutive sample of stable preterm very low birth weight (VLBW) infants (born ≤ 32 weeks gestation or birth weight ≤ 1·5 kg), and we explored associated factors. Serum 25OHD level was first assessed once infants were tolerating feeds (n 274). If this first 25OHD level was below 50 nmol/l (20 ng/ml), which is the level associated with covering requirements in terms of skeletal health in the majority, then we recommended prolonged augmented vitamin D intake ( ≥ 10 μg (400 IU) daily) from a combination of fortified feeds and vitamin supplements and follow-up re-assessment at approximately 6 weeks corrected age (n 148). The first assessment, conducted at a median for chronological age of 18 (interquartile range (IQR) 11–28) d, found that 78 % had serum 25OHD levels below 50 nmol/l. Multivariable analysis demonstrated that the determinants of serum 25OHD levels were duration of vitamin D supplementation and gestational age at birth (r2 0·215; P< 0·001). At follow-up, after a median of 104 (IQR 78–127) d, 87 % achieved levels ≥ 50 nmol/l and 8 % had levels >125 nmol/l, a level associated with potential risk of harm. We conclude that low 25OHD levels are an issue for preterm VLBW infants, warranting early nutritional intervention. In infants with serum 25OHD levels < 50 nmol/l, a vitamin D intake of ≥ 10 μg (400 IU) daily achieves target levels in the majority; however, further work is needed to determine the exact dose to safely meet target levels without overcorrection.
This book describes Optimality Theory from the top down, explaining and exploring the central premises of OT and the results of their praxis. Examples are drawn from phonology, morphology, and syntax, but the emphasis throughout is on the theory rather than the examples, on understanding what is special about OT and on equipping readers to apply it, extend it, and critique it in their own areas of interest. To enhance the book's usefulness for researchers in allied disciplines, the topdown view of OT extends to work on first- and second-language acquisition, phonetics and functional phonology, computational linguistics, historical linguistics, and sociolinguistics. Furthermore, to situate OT for those coming from other traditions, this book also contains much discussion of OT's intellectual origins, its predecessors, and its contemporary competitors. Each chapter concludes with extensive suggestions for further reading, classified by topics, and supplemented by a massive bibliography (over 800 items). The book ends with a list of frequently asked questions about Optimality Theory, with brief answers and pointers to a fuller treatment in the text.
When a medial consonant cluster is simplified by deletion or place assimilation, the first consonant is affected, but never the second one: /patka/ becomes [paka] and not *[pata]; /panpa/ becomes [pampa] and not [panta]. This article accounts for that observation within a derivational version of Optimality Theory called Harmonic Serialism. In Harmonic Serialism, the final output is reached by a series of derivational steps that gradually improve harmony. If there is no gradual, harmonically improving path from a given underlying representation to a given surface representation, this mapping is impossible in Harmonic Serialism, even if it would be allowed in classic Optimality Theory. In cluster simplification, deletion or Place assimilation is the second step in a derivation that begins with deleting Place features, and deleting Place features improves harmony only in coda position.
The Cosmic Evolution Survey (COSMOS) is an HST/ACS imaging survey of 2 square degrees centered on RA = 10:00:28.6, Dec = + 02:12:21 (J2000). While the primary goal of the survey is to study evolution of galaxy morphology and large scale structure, an extensive multi-wavelength data set allows for a sensitive survey of AGN. Spectroscopy of optical counterparts to faint X-ray and radio sources is being carried out with the Magallen (Baade) Telescope and the ESO VLT. By achieving ∼80 redshift completeness down to I AB = 3, the eventual yield of AGN will be ∼1100 over the whole field.
Early results on supermassive black holes are described. The goals of the survey include a bolometric census of AGN down to moderate luminosities, the cosmic evolution and fueling history of the central engines, and a study of AGN environments on scales ranging from the host galaxy to clusters and superclusters.
In Optimality Theory, constraints come in two types, which are distinguished by their mode of evaluation. Categorical constraints are either satisfied or not; a categorical constraint assigns no more than one violation-mark, unless there are several violating structures in the form under evaluation. Gradient constraints evaluate extent of deviation; they can assign multiple marks even when there is just a single instance of the non-conforming structure. This article proposes a restrictive definition of what an OT constraint is, from which it follows that all constraints must be categorical. The various gradient constraints that have been proposed are examined, and it is argued that none is necessary and many have undesirable consequences.
In his article ‘Consonant cluster neutralisation and targeted constraints’, Wilson (2001) proposes a far-reaching revision of Optimality Theory to accommodate targeted constraints, which compare candidates differing only in certain specific ways. Targeted constraints, it is argued, can explain why cluster-simplification processes affect the first member of a cluster but never the more marked member of a cluster. In this remark, I show that this argument encounters difficulties once it has been embedded in a fuller picture of constraint interaction. Some general properties of the targeted-constraints model are also discussed.
Serial derivations have been a central idea in the theory of generative phonology throughout its history, but scant attention has been paid to a key question: is any serial derivation possible in human languages? More precisely, can any independently licit rule coexist with any other licit rule, and can the rules apply in any order? The rule coexistence question has, to my knowledge, never been raised in the literature. The rule ordering question was investigated intensively during the early 1970s (see Iverson 1995 for a review), but often just a pair of rules was studied in isolation from the broader derivational context. Since about 1975, research in generative phonology has mostly dealt with the form of rules and the nature of representations – subjects that are interesting in themselves but do not help advance the theory of derivations.
A rare contribution to this neglected topic is Pullum's (1976) study of the “Duke-of-York gambit.” Duke-of-York (DY) derivations have the general form A → B → A, where underlying A passes through a B stage before returning to surface A again. For example, in some analyses of r-dropping and r-intrusion in various English dialects, final r is first deleted and then reinserted before a vowel: Homer is → Hom[ǝ] is → Homer is (cf. Hom[ǝ] saw).