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.
The article analyses publication patterns according to gender in three Political Science and International Relations journals based in Britain (Political Studies, British Journal of Political Science, and Review of International Studies). Examining publications from 1991 to 2011 in terms of authorship, seniority of author, and number of citations and responses, our findings suggest that women are less likely to be published as sole or lead author than their male counterparts are but that they are just as likely to be cited. Furthermore, since 2000, women are now over-represented in comparison with their presence within the discipline in publications that have at least one female author.
Within the determinacy setting, ${\mathscr {P}({\omega _1})}$ is regular (in the sense of cofinality) with respect to many known cardinalities and thus there is substantial evidence to support the conjecture that ${\mathscr {P}({\omega _1})}$ has globally regular cardinality. However, there is no known information about the regularity of ${\mathscr {P}(\omega _2)}$. It is not known if ${\mathscr {P}(\omega _2)}$ is even $2$-regular under any determinacy assumptions. The article will provide the following evidence that ${\mathscr {P}(\omega _2)}$ may possibly be ${\omega _1}$-regular: Assume $\mathsf {AD}^+$. If $\langle A_\alpha : \alpha < {\omega _1} \rangle $ is such that ${\mathscr {P}(\omega _2)} = \bigcup _{\alpha < {\omega _1}} A_\alpha $, then there is an $\alpha < {\omega _1}$ so that $\neg (|A_\alpha | \leq |[\omega _2]^{<\omega _2}|)$.
Biological and physical retrospective dosimetry for ionizing radiation exposure is a rapidly growing field, and several methods for performing biological and physical retrospective dosimetry have been developed to provide absorbed dose estimates for individuals after occupational, accidental, intentional, and incidental exposures to ionizing radiation. In large-scale radiological/nuclear incidents, multiple retrospective dosimetry laboratories from several countries may be involved in providing timely dose estimates for effective medical management of several thousand exposed individuals. In such scenarios, the harmonization of methods among participating laboratories is crucial for consistency in data analysis, dose estimation, and medical decision-making. In this regard, ISO documents ensure that these practices are standardized globally across the laboratories by providing quality assurance and quality control documentation that guide laboratories in maintaining high-quality performance for consistency. With the intent of bringing standardization and harmonization of biological and physical retrospective dosimetry methodologies across national and international laboratories, the ISO working group 18 (WG18) was established under ISO/TC85/SC2 (Technical Committee 85, Subcommittee 2-Radiation Protection) in 1999. This manuscript summarizes some of the past, current, and future activities of WG18 on biological and physical retrospective dosimetry.
Treatment guidelines recommend evidence-based psychological therapies for adults with intellectual disabilities with co-occurring anxiety or depression. No previous research has explored the effectiveness of these therapies in mainstream psychological therapy settings or outside specialist settings.
Aims
To evaluate the effectiveness of psychological therapies delivered in routine primary care settings for people with intellectual disability who are experiencing co-occurring depression or anxiety.
Method
This study used linked electronic healthcare records of 2 048 542 adults who received a course of NHS Talking Therapies for anxiety and depression in England between 2012 and 2019 to build a retrospective, observational cohort of individuals with intellectual disability, matched 1:2 with individuals without intellectual disability. Logistic regressions were used to compare metrics of symptom improvement and deterioration used in the national programme, on the basis of depression and anxiety measures collected before and at the last attended therapy session.
Results
The study included 6870 adults with intellectual disability and 2 041 672 adults without intellectual disability. In unadjusted analyses, symptoms improved on average for people with intellectual disability after a course of therapy, but these individuals experienced poorer outcomes compared with those without intellectual disability (reliable improvement 60.2% for people with intellectual disability v. 69.2% for people without intellectual disability, odds ratio 0.66, 95% CI 0.63–0.70; reliable deterioration 10.3% for people with intellectual disability v. 5.7% for those without intellectual disability, odds ratio 1.89, 95% CI 1.75–2.04). After propensity score matching, some differences were attenuated (reliable improvement, adjusted odds ratio 0.97, 95% CI 1.91–1.04), but some outcomes remained poorer for people with intellectual disability (reliable deterioration, adjusted odds ratio 1.28, 95% CI 1.16–1.42).
Conclusions
Evidence-based psychological therapies may be effective for adults with intellectual disability, but their outcomes may be similar to (for improvement and recovery) or poorer than (for deterioration) those for adults without intellectual disability. Future work should investigate the impact of adaptations of therapies for those with intellectual disability to make such interventions more effective and accessible for this population.
This forum engages an emerging discourse around historical reckoning, truth, and reconciliation, asking how these frameworks inform American archaeology and its future. A growing number of archaeologists are now demanding systemic disciplinary transformations that directly address how white supremacy and settler colonialism enact Indigenous dispossession and erasure as well as anti-Blackness, gender discrimination, and ableism. This forum, featuring 10 archaeologists—including a mixture of junior- and senior-level scholars—is organized into thematic dialogues that highlight their different perspectives and experiences within North American cultural heritage management. First, the dialogue interrogates American archaeology’s embeddedness in ethnocentrism and racism. It then looks at different forms of collaboration that actualize anti-colonial critiques and corrections. Next, it compares collaborative methods with broader calls for “un-disciplining” through incorporating non-Western expertise, sensibilities, needs, and interests. In response to systemic forms of racism, colonialism, and neoliberalism within archaeology, the authors discuss how individuals and institutions can work for and with Indigenous and descendant communities to achieve “reclamation,” defined as the assertion of community control over their significant places, ancestors, belongings, and historical narratives. The article concludes with a consideration of how archaeology can be used by communities to ensure their collective futures.
To identify changes in emergency department (ED) use in Houston, TX during the mid-summer Hurricane Beryl-induced power outage to inform future targeted public health interventions.
Methods
Syndromic surveillance system ED visit daily counts for total visits, heat-related illness, carbon monoxide poisoning, acute cardiac condition, stroke, dialysis, and medication refills post-hurricane were statistically compared to the 2 weeks prior and plotted alongside the percentage of the population with power outage.
Results
Daily ED visits post-storm were statistically higher (P< 0.05) than the 2 weeks prior for total visits and acute cardiac events (Day 1, 2); heat-related illness (Day 1-3); dialysis (Day 0-3); and carbon monoxide poisoning and medication refill (Day 1-9).
Conclusions
While 50% of the city experienced power outages from high winds, total ED visits, acute cardiac events, and heat-related illness were statistically higher in the first 3 days after Beryl than expected. Houston developed targeted messaging to mitigate these events in future disasters.
Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.
Actively engaging community health centers (CHCs) in research is necessary to ensure evidence-based practices are relevant to all communities and get us closer to closing the health equity gap. We report here on the Boston HealthNet Research Collaborative, a partnership between health centers, Boston HealthNet and the Boston University Clinical, and Translational Science Institute with the explicit goal of supporting research partnerships early in the planning phase of the study lifecycle. We used the principles of community engagement guided by a collective impact framework to codesign, pilot, and evaluate a process for facilitating research partnerships. Accomplishments in the first 2 years include a web-based Toolkit with a step-by-step guide and an active learning collaborative with health center representatives to support research capacity building. The process resulted in 81 new research project partnerships across 50 individual research projects. Most research partnership requests were made later in the research lifecycle, after the planning phase. Partnership acceptance was largely driven by the Collaborative’s pre-defined Guiding Principles and Rules of Engagement. These lessons drive an iterative process to improve the longitudinal relationship between our translational research program and our CHC partners.
Channel coding lies at the heart of digital communication and data storage. Fully updated, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This new edition includes over 50 new end-of-chapter problems and new figures and worked examples throughout. The authors emphasize the practical approach and present clear information on modern channel codes, including turbo and low-density parity-check (LDPC) codes, detailed coverage of BCH codes, Reed-Solomon codes, convolutional codes, finite geometry codes, product codes as well as polar codes for error correction and detection, providing a one-stop resource for classical and modern coding techniques. Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then extend to advanced topics such as code ensemble performance analyses and algebraic code design.
Field studies were conducted on certified organic land in Lafayette and Vincennes, IN, in 2023 to determine the impact of different between-row weed control methods on weed suppression and sweetpotato yield. Between-row treatments consisted of organic buckwheat (108 kg ha−1) broadcast seeded immediately after sweetpotato transplanting followed by silage tarping from 3 wk after transplanting (WATr) through harvest, organic buckwheat (108 kg ha−1) broadcast seeded 3 WATr and terminated 7 WATr, and cultivation as a grower standard. Weed density at 6 WATr was 0, 184, and 162 plants m−2 for the silage tarping, living mulch buckwheat, and cultivation treatments, respectively. Total yield was 11,048 kg ha−1 for the living mulch buckwheat, 19,792 kg ha−1 for the cultivation, and 17,814 kg ha−1 for the tarping treatments. Tarping effectively suppressed weeds and produced sweetpotato yields comparable to cultivation, indicating the potential for use by organic growers. When buckwheat was grown between rows 3 to 7 WATr, sweetpotato yield was lower than it was with tarping and cultivation. These results suggest that researchers should be evaluating tarps for small-acreage farmers as a weed management strategy.
Meredith's method of extracting a factorially invariant solution is adapted to longitudinal settings. An explorational estimation procedure is presented which attempts to identify the longitudinal factor components of an across occasion variance-covariance matrix. This is effected by transforming an initial factor pattern matrix to stationarity. The estimation is performed in two parts, the first employing a stepwise algorithm to ascertain the dimensionality and existence of the longitudinal components and the second being the direct estimation of the existing factor pattern.
Channel coding lies at the heart of digital communication and data storage. Fully updated to include current innovations in the field, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This edition includes over 50 new end-of-chapter problems to challenge students and numerous new figures and examples throughout.
The authors emphasize a practical approach and clearly present information on modern channel codes, including polar, turbo, and low-density parity-check (LDPC) codes, as well as detailed coverage of BCH codes, Reed–Solomon codes, convolutional codes, finite geometry codes, and product codes for error correction, providing a one-stop resource for both classical and modern coding techniques.
Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then begin with classical codes, continue with modern codes, and extend to advanced topics such as code ensemble performance analyses and algebraic LDPC code design.
300 varied and stimulating end-of-chapter problems test and enhance learning, making this an essential resource for students and practitioners alike.
Provides a one-stop resource for both classical and modern coding techniques.
Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding.
180 worked examples guide students through the practical application of the theory.
Channel coding lies at the heart of digital communication and data storage. Fully updated to include current innovations in the field, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This edition includes over 50 new end-of-chapter problems to challenge students and numerous new figures and examples throughout.
The authors emphasize a practical approach and clearly present information on modern channel codes, including polar, turbo, and low-density parity-check (LDPC) codes, as well as detailed coverage of BCH codes, Reed–Solomon codes, convolutional codes, finite geometry codes, and product codes for error correction, providing a one-stop resource for both classical and modern coding techniques.
Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then begin with classical codes, continue with modern codes, and extend to advanced topics such as code ensemble performance analyses and algebraic LDPC code design.
300 varied and stimulating end-of-chapter problems test and enhance learning, making this an essential resource for students and practitioners alike.
Provides a one-stop resource for both classical and modern coding techniques.
Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding.
180 worked examples guide students through the practical application of the theory.
Channel coding lies at the heart of digital communication and data storage. Fully updated to include current innovations in the field, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This edition includes over 50 new end-of-chapter problems to challenge students and numerous new figures and examples throughout.
The authors emphasize a practical approach and clearly present information on modern channel codes, including polar, turbo, and low-density parity-check (LDPC) codes, as well as detailed coverage of BCH codes, Reed–Solomon codes, convolutional codes, finite geometry codes, and product codes for error correction, providing a one-stop resource for both classical and modern coding techniques.
Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then begin with classical codes, continue with modern codes, and extend to advanced topics such as code ensemble performance analyses and algebraic LDPC code design.
300 varied and stimulating end-of-chapter problems test and enhance learning, making this an essential resource for students and practitioners alike.
Provides a one-stop resource for both classical and modern coding techniques.
Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding.
180 worked examples guide students through the practical application of the theory.
Channel coding lies at the heart of digital communication and data storage. Fully updated to include current innovations in the field, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This edition includes over 50 new end-of-chapter problems to challenge students and numerous new figures and examples throughout.
The authors emphasize a practical approach and clearly present information on modern channel codes, including polar, turbo, and low-density parity-check (LDPC) codes, as well as detailed coverage of BCH codes, Reed–Solomon codes, convolutional codes, finite geometry codes, and product codes for error correction, providing a one-stop resource for both classical and modern coding techniques.
Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then begin with classical codes, continue with modern codes, and extend to advanced topics such as code ensemble performance analyses and algebraic LDPC code design.
300 varied and stimulating end-of-chapter problems test and enhance learning, making this an essential resource for students and practitioners alike.
Provides a one-stop resource for both classical and modern coding techniques.
Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding.
180 worked examples guide students through the practical application of the theory.
Channel coding lies at the heart of digital communication and data storage. Fully updated to include current innovations in the field, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This edition includes over 50 new end-of-chapter problems to challenge students and numerous new figures and examples throughout.
The authors emphasize a practical approach and clearly present information on modern channel codes, including polar, turbo, and low-density parity-check (LDPC) codes, as well as detailed coverage of BCH codes, Reed–Solomon codes, convolutional codes, finite geometry codes, and product codes for error correction, providing a one-stop resource for both classical and modern coding techniques.
Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then begin with classical codes, continue with modern codes, and extend to advanced topics such as code ensemble performance analyses and algebraic LDPC code design.
300 varied and stimulating end-of-chapter problems test and enhance learning, making this an essential resource for students and practitioners alike.
Provides a one-stop resource for both classical and modern coding techniques.
Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding.
180 worked examples guide students through the practical application of the theory.
Channel coding lies at the heart of digital communication and data storage. Fully updated to include current innovations in the field, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This edition includes over 50 new end-of-chapter problems to challenge students and numerous new figures and examples throughout.
The authors emphasize a practical approach and clearly present information on modern channel codes, including polar, turbo, and low-density parity-check (LDPC) codes, as well as detailed coverage of BCH codes, Reed–Solomon codes, convolutional codes, finite geometry codes, and product codes for error correction, providing a one-stop resource for both classical and modern coding techniques.
Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then begin with classical codes, continue with modern codes, and extend to advanced topics such as code ensemble performance analyses and algebraic LDPC code design.
300 varied and stimulating end-of-chapter problems test and enhance learning, making this an essential resource for students and practitioners alike.
Provides a one-stop resource for both classical and modern coding techniques.
Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding.
180 worked examples guide students through the practical application of the theory.
Channel coding lies at the heart of digital communication and data storage. Fully updated to include current innovations in the field, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This edition includes over 50 new end-of-chapter problems to challenge students and numerous new figures and examples throughout.
The authors emphasize a practical approach and clearly present information on modern channel codes, including polar, turbo, and low-density parity-check (LDPC) codes, as well as detailed coverage of BCH codes, Reed–Solomon codes, convolutional codes, finite geometry codes, and product codes for error correction, providing a one-stop resource for both classical and modern coding techniques.
Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then begin with classical codes, continue with modern codes, and extend to advanced topics such as code ensemble performance analyses and algebraic LDPC code design.
300 varied and stimulating end-of-chapter problems test and enhance learning, making this an essential resource for students and practitioners alike.
Provides a one-stop resource for both classical and modern coding techniques.
Starts with the basic theory before moving on to advanced topics, making it perfect for newcomers to the field of channel coding.
180 worked examples guide students through the practical application of the theory.