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Artificial intelligence is dramatically reshaping scientific research and is coming to play an essential role in scientific and technological development by enhancing and accelerating discovery across multiple fields. This book dives into the interplay between artificial intelligence and the quantum sciences; the outcome of a collaborative effort from world-leading experts. After presenting the key concepts and foundations of machine learning, a subfield of artificial intelligence, its applications in quantum chemistry and physics are presented in an accessible way, enabling readers to engage with emerging literature on machine learning in science. By examining its state-of-the-art applications, readers will discover how machine learning is being applied within their own field and appreciate its broader impact on science and technology. This book is accessible to undergraduates and more advanced readers from physics, chemistry, engineering, and computer science. Online resources include Jupyter notebooks to expand and develop upon key topics introduced in the book.
This study quantified the relative vulnerability of 3,141 counties in the United States. We built a comprehensive community vulnerability index (CCVI) that considers household, business, and public levels. Eighteen variables related to household socioeconomic characteristics, business size and diversity, local government economic size, social capital, and net immigration were used. In the existing vulnerability indices (CRE, SVI, and SoVI), the indices were constructed by using socioeconomic characteristics of the household. In addition to socioeconomic variables, this study sought to expand the concept of “place-based” by considering the business structure within the community and the potential ability to maintain the existing order of the community to construct a comprehensive index. Additionally, by providing the relative vulnerability of the community at each level (private, business, public), each dimension can provide evidence on which areas are more vulnerable and need remediation than others. We expect that the CCVI can be broadly extended to be used in various forms. In this study, we extend the vulnerability index by including exogenous variables such as climate change. In particular, the extended climate-enhanced CCVI in this study shows that the existing vulnerability index can be strengthened by incorporating extreme climate events.
Objectives/Goals: The primary objective of this study is to investigate the relationship between human leukocyte antigen (HLA) alleles to COVID-19 clinical severity, specifically: hospitalization, mortality, pneumonia by COVID-19, post-acute sequelae of SARS-CoV-2 infection (PASC), and clinical lab values. Methods/Study Population: We are conducting a retrospective cohort study utilizing the All of Us controlled tier dataset. The base population was defined as any patients with a COVID-19 diagnosis code (ICD-10: U07.1 or SNOMED: 840539006) and genomic sequencing data. PASC definitions were developed by the N3C consortium and refined in house. A total of 15,252 patients (64.5% female; 50.4% self-reported European ancestry; 18.8% self-reported African ancestry; 34.5% > 65 years old) are included in this study. HLA Class I and Class II alleles will be imputed from a global diversity reference panel utilizing the HIBAG “R” package. Results/Anticipated Results: Controlling for age, sex, race, and COVID-19 vaccination status, we anticipate determining the HLA alleles associated with severe clinical outcomes, such as Pneumonia by COVID (n = 1,436) and PASC (ICD-10:U09.9 or SNOMED:119303003 or OMOP:OMOP5160861 [n = 498]). We will assess which HLA alleles are associated with markedly different IgM and IgG COVID-19 serum antibody levels (n = 1,024). Coexisting conditions, i.e., type 2 diabetes, chronic obstructive pulmonary disease, and hypertension, will be controlled for with the Charlson comorbidity index. The accuracy of HLA allelic imputation will be validated in patients with long-read whole genome sequences. Discussion/Significance of Impact: Our findings can help identify patients who may be at risk of severe COVID-19 infection, particularly those undergoing bone marrow or organ transplantation. We hope this study will accelerate personalized care of COVID-19 in vulnerable populations.
Chang Kang-myoung’s provocatively titled novel Because I Hate Korea (Han’gugi sireoseo) became a best-seller in 2015 and is among the most notable literary works to address rampant dissatisfaction among South Korean millennials. In recent years, Chang, a former journalist (b. 1975), has developed a reputation for adroit and prolific fictionalized expressions of local discontent. Because I Hate Korea reflects a pervasive desire on the part of the nation’s younger people to escape from “Hell Joseon,” a coinage that has attained widespread circulation. This piece briefly introduces the novel, setting it within its wider contemporary context, and then provides a translation of the first chapter.
Edited by
Dharti Patel, Mount Sinai West and Morningside Hospitals, New York,Sang J. Kim, Hospital for Special Surgery, New York,Himani V. Bhatt, Mount Sinai West and Morningside Hospitals, New York,Alopi M. Patel, Rutgers Robert Wood Johnson Medical School, New Jersey
Edited by
Dharti Patel, Mount Sinai West and Morningside Hospitals, New York,Sang J. Kim, Hospital for Special Surgery, New York,Himani V. Bhatt, Mount Sinai West and Morningside Hospitals, New York,Alopi M. Patel, Rutgers Robert Wood Johnson Medical School, New Jersey
Edited by
Dharti Patel, Mount Sinai West and Morningside Hospitals, New York,Sang J. Kim, Hospital for Special Surgery, New York,Himani V. Bhatt, Mount Sinai West and Morningside Hospitals, New York,Alopi M. Patel, Rutgers Robert Wood Johnson Medical School, New Jersey
Edited by
Dharti Patel, Mount Sinai West and Morningside Hospitals, New York,Sang J. Kim, Hospital for Special Surgery, New York,Himani V. Bhatt, Mount Sinai West and Morningside Hospitals, New York,Alopi M. Patel, Rutgers Robert Wood Johnson Medical School, New Jersey
Edited by
Dharti Patel, Mount Sinai West and Morningside Hospitals, New York,Sang J. Kim, Hospital for Special Surgery, New York,Himani V. Bhatt, Mount Sinai West and Morningside Hospitals, New York,Alopi M. Patel, Rutgers Robert Wood Johnson Medical School, New Jersey
Edited by
Dharti Patel, Mount Sinai West and Morningside Hospitals, New York,Sang J. Kim, Hospital for Special Surgery, New York,Himani V. Bhatt, Mount Sinai West and Morningside Hospitals, New York,Alopi M. Patel, Rutgers Robert Wood Johnson Medical School, New Jersey
The recommended first-line treatment for insomnia is cognitive behavioral therapy for insomnia (CBTi), but access is limited. Telehealth- or internet-delivered CBTi are alternative ways to increase access. To date, these intervention modalities have never been compared within a single study. Further, few studies have examined a) predictors of response to the different modalities, b) whether successfully treating insomnia can result in improvement of health-related biomarkers, and c) mechanisms of change in CBTi. This protocol was designed to compare the three CBTi modalities to each other and a waitlist control for adults aged 50-65 years (N = 100). Participants are randomly assigned to one of four study arms: in-person- (n=30), telehealth- (n=30) internet-delivered (n=30) CBTi, or 12-week waitlist control (n=10). Outcomes include self-reported insomnia symptom severity, polysomnography, circadian rhythms of activity and core body temperature, blood- and sweat-based biomarkers, cognitive functioning, and magnetic resonance imaging.
This is the 2nd edition of the popular comprehensive and results-based review study guide, presenting educational content for the Anesthesiology BASIC exam in an easily digestible format. Updated alongside the content of the exam, this new edition continues to provide an essential resource for residents. Reviewing all exam topics, the chapters cover clinical anesthetic practice, pharmacology, physiology, anatomy, anesthesia equipment, and monitoring methods. Information is presented in a clear and focused style, and the use of bullet points and concise paragraphs throughout enable effective learning and efficient exam revision. Figures and illustrations supplement the text and additional margin space provides room for annotations and further notes. The user-friendly format ensures that all exam preparation, including notes from question banks, can be kept in this 'one-stop' review book. Written by residents for residents in a comprehensive and easily digestible format, this book is a valuable resource for effective and successful exam preparation.
To the known causes of overconfidence in decisions and judgments, we reveal another source that derives from a bias during the act of decision making. While this bias, the predecisional distortion of information, is well studied, its impact on overconfidence is not. We demonstrate how the distortion of information creates overconfidence in those professionals often regarded as singularly overconfident, entrepreneurs. When these professionals use a sequence of relevant information to make an accept-reject decision about a business opportunity, a cycle of confidence-distortion-confidence builds unjustified confidence in the chosen action – and does so whether that action is to accept or reject the venture. Overconfidence is a well-recognized cause of flawed decision making. Our work demonstrates the paradoxical converse of this claim, that flawed decision making can be a cause of overconfidence.
Transcranial direct current stimulation (tDCS) is a promising treatment for major depressive disorder (MDD). This study evaluated its antidepressant and cognitive effects as a safe, effective, home-based therapy for MDD.
Methods
This double-blind, sham-controlled, randomized trial divided participants into low-intensity (1 mA, n = 47), high-intensity (2 mA, n = 49), and sham (n = 45) groups, receiving 42 daily tDCS sessions, including weekends and holidays, targeting the dorsolateral prefrontal cortex for 30 minutes. Assessments were conducted at baseline and weeks 2, 4, and 6. The primary outcome was cognitive improvement assessed by changes in total accuracy on the 2-back test from baseline to week 6. Secondary outcomes included changes in depressive symptoms (HAM-D), anxiety (HAM-A), and quality of life (QLES). Adverse events were monitored. This trial was registered with ClinicalTrials.gov (NCT04709952).
Results
In the tDCS study, of 141 participants (102 [72.3%] women; mean age 35.7 years, standard deviation 12.7), 95 completed the trial. Mean changes in the total accuracy scores from baseline to week 6 were compared across the three groups using an F-test. Linear mixed-effects models examined the interaction of group and time. Results showed no significant differences among groups in cognitive or depressive outcomes at week 6. Active groups experienced more mild adverse events compared to sham but had similar rates of severe adverse events and dropout.
Conclusions
Home-based tDCS for MDD demonstrated no evidence of effectiveness but was safe and well-tolerated. Further research is needed to address the technical limitations, evaluate broader cognitive functions, and extend durations to evaluate its therapeutic potential.
The delivery of paediatric cardiac care across the world occurs in settings with significant variability in available resources. Irrespective of the resources locally available, we must always strive to improve the quality of care we provide to our patients and simultaneously deliver such care in the most efficient and cost-effective manner. The development of cardiac networks is used widely to achieve these aims.
Methods:
This paper reports three talks presented during the 56th meeting of the Association for European Paediatric and Congenital Cardiology held in Dublin in April 2023.
Results:
The three talks describe how centres of congenital cardiac excellence can be developed in low-income countries, middle-income countries, and well-resourced environments, and also reports how centres across different countries can come together to collaborate and deliver high-quality care. It is a fact that barriers to creating effective networks may arise from competition that may exist among programmes in unregulated and especially privatised health care environments. Nevertheless, reflecting on the creation of networks has important implications because collaboration between different centres can facilitate the maintenance of sustainable programmes of paediatric and congenital cardiac care.
Conclusion:
This article examines the delivery of paediatric and congenital cardiac care in resource limited environments, well-resourced environments, and within collaborative networks, with the hope that the lessons learned from these examples can be helpful to other institutions across the world. It is important to emphasise that irrespective of the differences in resources across different continents, the critical principles underlying provision of excellent care in different environments remain the same.
While early intervention in psychosis (EIP) programs have been increasingly implemented across the globe, many initiatives from Africa, Asia and Latin America are not widely known. The aims of the current review are (a) to describe population-based and small-scale, single-site EIP programs in Africa, Asia and Latin America, (b) to examine the variability between programs located in low-and-middle income (LMIC) and high-income countries in similar regions and (c) to outline some of the challenges and provide recommendations to overcome existing obstacles.
Methods
EIP programs in Africa, Asia and Latin America were identified through experts from the different target regions. We performed a systematic search in Medline, Embase, APA PsycInfo, Web of Science and Scopus up to February 6, 2024.
Results
Most EIP programs in these continents are small-scale, single-site programs that serve a limited section of the population. Population-based programs with widespread coverage and programs integrated into primary health care are rare. In Africa, EIP programs are virtually absent. Mainland China is one of the only LMICs that has begun to take steps toward developing a population-based EIP program. High-income Asian countries (e.g. Hong Kong and Singapore) have well-developed, comprehensive programs for individuals with early psychosis, while others with similar economies (e.g. South Korea and Japan) do not. In Latin America, Chile is the only country in the process of providing population-based EIP care.
Conclusions
Financial resources and integration in mental health care, as well as the availability of epidemiological data on psychosis, impact the implementation of EIP programs. Given the major treatment gap of early psychosis in Africa, Latin America and large parts of Asia, publicly funded, locally-led and accessible community-based EIP care provision is urgently needed.
Hierarchical Bayes procedures for the two-parameter logistic item response model were compared for estimating item and ability parameters. Simulated data sets were analyzed via two joint and two marginal Bayesian estimation procedures. The marginal Bayesian estimation procedures yielded consistently smaller root mean square differences than the joint Bayesian estimation procedures for item and ability estimates. As the sample size and test length increased, the four Bayes procedures yielded essentially the same result.
Trace amine-associated receptor 1 (TAAR1) agonists offer a new approach, but there is uncertainty regarding their effects, exact mechanism of action and potential role in treating psychosis.
Aims
To evaluate the available evidence on TAAR1 agonists in psychosis, using triangulation of the output of living systematic reviews (LSRs) of animal and human studies, and provide recommendations for future research prioritisation.
Method
This study is part of GALENOS (Global Alliance for Living Evidence on aNxiety, depressiOn and pSychosis). In the triangulation process, a multidisciplinary group of experts, including those with lived experience, met and appraised the first co-produced living systematic reviews from GALENOS, on TAAR1 agonists.
Results
The animal data suggested a potential antipsychotic effect, as TAAR1 agonists reduced locomotor activity induced by pro-psychotic drug treatment. Human studies showed few differences for ulotaront and ralmitaront compared with placebo in improving overall symptoms in adults with acute schizophrenia (four studies, n = 1291 participants, standardised mean difference (SMD) 0.15, 95% CI −0.05 to 0.34). Large placebo responses were seen in ulotaront phase three trials. Ralmitaront was less efficacious than risperidone (one study, n = 156 participants, SMD = −0.53, 95% CI −0.86 to −0.20). The side-effect profile of TAAR1 agonists was favourable compared with existing antipsychotics. Priorities for future studies included (a) using different animal models of psychosis with greater translational validity; (b) animal and human studies with wider outcomes including cognitive and affective symptoms and (c) mechanistic studies and investigations of other potential applications, such as adjunctive treatments and long-term outcomes. Recommendations for future iterations of the LSRs included (a) meta-analysis of individual human participant data, (b) including studies that used different methodologies and (c) assessing other disorders and symptoms.
Conclusions
This co-produced, international triangulation examined the available evidence and developed recommendations for future research and clinical applications for TAAR1 agonists in psychosis. Broader challenges included difficulties in assessing the risk of bias, reproducibility, translation and interpretability of animal models to clinical outcomes, and a lack of individual and clinical characteristics in the human data. The research will inform a separate, independent prioritisation process, led by lived experience experts, to prioritise directions for future research.