AdaBoost And Its Variants: Boosting Methods For Classification With Small Sample Size And Brain Activity In Schizophrenia

AdaBoost is an ensemble method that can be used to boost the performance of machine learning algorithms by combining several weak learners to create a single strong learner. The most popular weak learner is a decision stump (low depth decision tree). One limitation of AdaBoost is its effectiveness when working with small sample sizes. This work explores variants to the AdaBoost algorithm such as Real AdaBoost, Logit Boost, and Gentle AdaBoost. These variants all follow a gradient boosting procedure like AdaBoost, with modifications to the weak learners and weights used. We are specifically interested in the accuracy of these boosting algorithms when used with small sample sizes. As an application, we study the link between functional network connectivity (as measured by EEG recordings) and Schizophrenia by testing whether the proposed methods can classify a participant as Schizophrenic or healthy control based on quantities measured from their EEG recording

Larger Latino populations are linked to smaller knowledge gapsbetween citizen and non-citizen Latinos

Past research has shown that the political participation of minorities in America is influenced by where they live and work, but few have tested exactly what drives this relationship. In new research, Brittany N. Perry and Christopher D. DeSante assess one possible mechanism: the effect of co-ethnic population size on the acquisition of political knowledge. They find that ethnic context helps condition how people acquire knowledge among people in the same ethnic group, which in turn, affects political engagement. Focusing on Latinos, this study shows that as Latino population size in a county increases, political knowledge and interest levels among Latinos increase, and importantly, political information and interest gaps between citizen and non-citizens decrease considerably

The baby box : Enhancing the wellbeing of babies and mothers around the world

The baby box is a Finnish social innovation that has captivated interest around the globe. This book highlights the journey of the baby box in over 60 countries, offering a comprehensive overview of the Finnish baby box and its many international adaptations. The story of the baby box begins in post-war Finland, where it evolved from a community-based resource to a nationally-funded and internationally recognized social benefit. The global mapping of the baby box presented in this book expands on this history by exploring the influence of the baby box concept internationally, from refugee camps and high-income countries to remote islands and prisons. Written by an international, multi-disciplinary team of researchers, this book explores the baby box concept from various angles. The diverse and expansive nature of this study makes it an excellent resource for parents, researchers, and anyone generally interested in the baby box concept. Also showcased are the many creative solutions that baby box programme organisers have devised to address context-specific challenges, making it additionally useful as a handbook for policy-makers or professionals developing their own programme.The baby box is a social innovation: a maternity package with baby clothes and other items for expectant mothers to promote the wellbeing of baby and family. In Finland, the baby box (officially called the maternity package) has been a universal benefit since 1949 and is given to all expectant mothers provided they attend antenatal care (ANC). The baby box is still considered to be a valuable social benefit in Finland today, with 95% of first-time mothers choosing the box instead of a cash grant. Although it is known that the baby box concept has been adapted across the world, there is little information available about how these adaptations have been made and for what purpose the boxes are given out. In order to map these programmes, we conducted a research project on baby boxes globally. Based on our findings, this report introduces the baby box concept, its various adaptations, and its possible uses to improve maternal and child health and wellbeing globally. The contents of this report are based on a mapping of 91 baby box programmes and an in-depth study of 29 programmes across different world regions in high-, middle- and low-income countries. These programmes were initiated by governmental bodies, non-profit organisations, United Nations (UN) agencies, hospitals, and academic institutions. Although we use the term baby “box” throughout the report, many programmes used a different container, such as a basket or bag, to package the items. The programmes ranged in scale from small to nationwide and targeted various groups, from specific vulnerable communities to all pregnant women in a country. Programmes set various goals, including reducing infant or maternal mortality, promoting the wellbeing of babies and mothers, easing financial and parenting burden, encouraging the uptake of health and community support services, and strengthening communities and reducing inequalities. They intended to achieve their goals through the practical support provided by the box and items, as well as the conditions attached to claiming the box (e.g. attendance at services) and additional education (e.g. booklets or arranged groups) included in the programme. The impact of the baby box is of timely concern, as governments are increasingly interested in the concept. However, it is difficult to provide an unequivocal answer to the question of whether the baby box “works,” as this depends on the desired outcomes of the programme. In addition, due to resource constraints, few programmes measure the impact of their intervention systematically. In response to this question and these restraints, we outline the potential current contributions of the baby box to the wellbeing of mothers and babies and provide a commentary on its possible future impact. For example, there is emerging evidence globally that baby box programmes can increase the rates of attending ANC or giving birth at a health facility, which may save lives in contexts where these rates are traditionally low. Baby box programmes may also provide psychosocial support for the mother during the vulnerable time of childbirth. Beyond their potential to support families in their everyday lives, baby box programmes may also be valuable in contexts where families have been forced to flee their homes, such as natural disasters or refugee camps. In addition to our findings, we also discuss high-interest topics surrounding the baby box, including safety issues. Ultimately, we intend for our report to serve as an overview of baby box programmes and a foundation for further research, as well as a reference for those interested in the topic or aiming to implement or evaluate a baby box programme themselves. The baby box is not a one-size-fits-all solution to intricate health challenges. However, it offers significant health and social gains, especially for those who are commonly the most vulnerable in communities: mothers and babies.31,00 euroanonPeerReviewedVertaisarvioimato

Mixed Chamber Ensembles

KSU School of Music presents Mixed Chamber Ensembles.https://digitalcommons.kennesaw.edu/musicprograms/1311/thumbnail.jp

Juvenile rockfish show resilience to CO\u3csub\u3e2\u3c/sub\u3e-acidification and hypoxia across multiple biological scales

California’s coastal ecosystems are forecasted to undergo shifting ocean conditions due to climate change, some of which may negatively impact recreational and commercial fish populations. To understand if fish populations have the capacity to respond to multiple stressors, it is critical to examine interactive effects across multiple biological scales, from cellular metabolism to species interactions. This study examined the effects of CO2-acidification and hypoxia on two naturally cooccurring species, juvenile rockfish (genus Sebastes) and a known predator, cabezon (Scorpaenichthys marmoratus). Fishes were exposed to two PCO2 levels at two dissolved oxygen (DO) levels: ~600 (ambient) and ~1600 (high) μatm PCO2 and 8.0 (normoxic) and 4.5 mg l−1 DO (hypoxic) and assessments of cellular metabolism, prey behavior and predation mortality rates were quantified after 1 and 3 weeks. Physiologically, rockfish showed acute alterations in cellular metabolic enzyme activity after 1 week of acclimation to elevated PCO2 and hypoxia that were not evident in cabezon. Alterations in rockfish energy metabolism were driven by increases in anaerobic LDH activity, and adjustments in enzyme activity ratios of cytochrome c oxidase and citrate synthase and LDH:CS. Correlated changes in rockfish behavior were also apparent after 1 week of acclimation to elevated PCO2 and hypoxia. Exploration behavior increased in rockfish exposed to elevated PCO2 and spatial analysis of activity indicated short-term interference with anti-predator responses. Predation rate after 1 week increased with elevated PCO2; however, no mortality was observed under the multiple-stressor treatment suggesting negative effects on cabezon predators. Most noteworthy, metabolic and behavioral changes were moderately compensated after 3 weeks of acclimation, and predation mortality rates also decreased suggesting that these rockfish may be resilient to changes in environmental stressors predicted by climate models. Linking physiological and behavioral responses to multiple stressors is vital to understand impacts on populations and community dynamics

Infant Outcomes Following Maternal Infection With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): First Report From the Pregnancy Coronavirus Outcomes Registry (PRIORITY) Study.

Infant outcomes after maternal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are not well described. In a prospective US registry of 263 infants, maternal SARS-CoV-2 status was not associated with birth weight, difficulty breathing, apnea, or upper or lower respiratory infection through 8 weeks of age

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Global wealth disparities drive adherence to COVID-safe pathways in head and neck cancer surgery

Peer reviewe

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead