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Background: New York City was the epicenter of the initial surge of the COVID-19 pandemic in the United States. Tracheostomy is a critical procedure in the care of patients with COVID-19. We hypothesized that early tracheostomy would decrease the length of time on sedation, time on mechanical ventilation, intensive care unit length of stay, and mortality. Methods: A retrospective analysis of outcomes for all patients with COVID-19 who underwent tracheostomy during the first year of the COVID-19 pandemic at the Mount Sinai Hospital in New York City, New York. All adult intensive care units at the Mount Sinai Hospital, New York. Patients/subjects: 888 patients admitted to intensive care with COVID-19. Results: All patients admitted to the intensive care unit with COVID-19 (888) from 1 March 2020 to 1 March 2021 were analyzed and separated further into those intubated (544) and those requiring tracheostomy (177). Of those receiving tracheostomy, outcomes were analyzed for early (≤12 days) or late (>12 days) tracheostomy. Demographics, medical history, laboratory values, type of oxygen and ventilatory support, and clinical outcomes were recorded and analyzed. Conclusions: Early tracheostomy resulted in reduced duration of mechanical ventilation, reduced hospital length of stay, and reduced intensive care unit length of stay in patients admitted to the intensive care unit with COVID-19. There was no effect on overall mortality. [ABSTRACT FROM AUTHOR]

In this work, we highlight three different techniques for automatically constructing the dataset for a time-series study: the direct multi-step, the recursive multi-step, and the direct–recursive hybrid scheme. The nonlinear autoregressive with exogenous variable support vector regression (NARX SVR) and the Gaussian process regression (GPR), combined with the differential evolution (DE) for parameter tuning, are the two novel hybrid methods used in this study. The hyper-parameter settings used in the GPR and SVR training processes as part of this optimization technique DE significantly affect how accurate the regression is. The accuracy in the prediction of DE/GPR and DE/SVR, with or without NARX, is examined in this article using data on spot gold prices from the New York Commodities Exchange (COMEX) that have been made publicly available. According to RMSE statistics, the numerical results obtained demonstrate that NARX DE/SVR achieved the best results. [ABSTRACT FROM AUTHOR]

Fossil fuels, the predominant energy source in the United States, have been identified as major contributors to environmental pollution through the release of harmful emissions. As a countermeasure, there has been an increasing focus on the exploration and development of cleaner energy alternatives to alleviate the environmental degradation caused by fossil fuels and to satisfy the growing energy needs. This study conducted scenario analyses to evaluate the impact of integrating solar energy into specific US power grids on reducing carbon emissions. The analysis encompassed electrical systems within California, New England, New York, and the Southwest, utilizing datasets from the Energy Information Administration and National Renewable Energy Laboratory. The Energy Information Administration dataset includes information on net generation according to each source and carbon emissions according to fuel type, whereas the National Renewable Energy Laboratory dataset provides hourly projections for 6000 theoretical photovoltaic installations and detailed solar energy output data every five minutes over a year. Our findings indicated a notable decrease in carbon dioxide emissions following the introduction of solar power facilities. The most significant reductions were observed in the Southwest and California, attributed to solar plant integration. Conversely, New York and New England were identified as regions requiring additional policy measures and incentives to meet the emission reduction goals. [ABSTRACT FROM AUTHOR]

This study aims to forecast New York and Los Angeles gasoline spot prices on a daily frequency. The dataset includes gasoline prices and a big set of 128 other relevant variables spanning the period from 17 February 2004 to 26 March 2022. These variables were fed to three tree-based machine learning algorithms: decision trees, random forest, and XGBoost. Furthermore, a variable importance measure (VIM) technique was applied to identify and rank the most important explanatory variables. The optimal model, a trained random forest, achieves a mean absolute percent error (MAPE) in the out-of-sample of 3.23% for the New York and 3.78% for the Los Angeles gasoline spot prices. The first lag, AR (1), of gasoline is the most important variable in both markets; the top five variables are all energy-related. This paper can strengthen the understanding of price determinants and has the potential to inform strategic decisions and policy directions within the energy sector, making it a valuable asset for both industry practitioners and policymakers. [ABSTRACT FROM AUTHOR]

Transposable elements (TEs) are repetitive elements which make up around 45% of the human genome. A class of TEs, known as SINE-VNTR-Alu (SVA), demonstrate the capacity to mobilise throughout the genome, resulting in SVA polymorphisms for their presence or absence within the population. Although studies have previously highlighted the involvement of TEs within neurodegenerative diseases, such as Parkinson's disease and amyotrophic lateral sclerosis (ALS), the exact mechanism has yet to be identified. In this study, we used whole-genome sequencing and RNA sequencing data of ALS patients and healthy controls from the New York Genome Centre ALS Consortium to elucidate the influence of reference SVA elements on gene expressions genome-wide within central nervous system (CNS) tissues. To investigate this, we applied a matrix expression quantitative trait loci analysis and demonstrate that reference SVA insertion polymorphisms can significantly modulate the expression of numerous genes, preferentially in the trans position and in a tissue-specific manner. We also highlight that SVAs significantly regulate mitochondrial genes as well as genes within the HLA and MAPT loci, previously associated within neurodegenerative diseases. In conclusion, this study continues to bring to light the effects of polymorphic SVAs on gene regulation and further highlights the importance of TEs within disease pathology. [ABSTRACT FROM AUTHOR]

This study proposes a fusion approach to enhancing urban remote sensing applications by integrating SAR (Sentinel-1) and optical (Landsat-8) satellite datasets. The fusion technique combines feature-based fusion and simple layer stacking (SLS) to improve the accuracy of urban impervious surface (UIS) extraction. SAR textures and modified indices are used for feature extraction, and classification is performed using the XGBoost machine learning algorithm in Python and Google Earth Engine. The study focuses on four global cities (New York, Paris, Tokyo, and London) with heterogeneous climatic zones and urban dynamics. The proposed method showed significant results. The accuracy assessment using random validation points shows an overall accuracy of 86% for UIS classification with the SLS method, outperforming single-data classification. The proposed approach achieves higher accuracy (86%) compared to three global products (ESA, ESRI, and Dynamic World). New York exhibits the highest overall accuracy at 88%. This fusion approach with the XGBoost classifier holds potential for new applications and insights into UIS mapping, with implications for environmental factors such as land surface temperature, the urban heat island effect, and urban pluvial flooding. [ABSTRACT FROM AUTHOR]

Powassan virus (POWV) is a tick-borne flavivirus endemic in North America and Russia. Experimental infections with POWV have confirmed horizontal, transstadial, vertical, and cofeeding transmission routes for potential virus maintenance. In the field, vertical transmission has never been observed. During New York State tick-borne pathogen surveillance, POWV RNA and/or infectious POWV was detected in five pools of questing Ixodes scapularis larvae. Additionally, engorged female I. scapularis adults were collected from hunter-harvested white-tailed deer (Odocoileus virginianus) in a region with relatively high tick infection rates of POWV and allowed to oviposit under laboratory conditions. POWV RNA was detected in three female adult husks and one pool of larvae from a positive female. Infectious virus was isolated from all three RNA-positive females and the single positive larval pool. The detection of RNA and infectious virus in unfed questing larvae from the field and larvae from replete females collected from the primary tick host implicates vertical transmission as a potential mechanism for the maintenance of POWV in I. scapularis in nature, and elucidates the potential epidemiological significance of larval ticks in the transmission of POWV to humans. [ABSTRACT FROM AUTHOR]

Does our food for thought come virtually from the internet? When we take a long view, the instant stroke of a keyboard pales in comparison to the centuries-old evolution of real food harvesting and the generation and exchange of ideas, which have resulted in creative capital. The vernacular architecture of the agricultural built environment has almost dematerialized in its transition from the ancient pre-industrial era to the post-truth world, to become almost only an imagined concept. The symbology of the common threshing terrace of a Portuguese remote mountain village can now be found in multiple spaces of the urban realm, including in the metaphor of a community arts incubator's modus operandi in Albany, New York (USA). How has the concept of food for thought developed and materialized? How has it evolved? And what are some of the expected ways it might be utilized in the future? The purpose of the paper is to trace the evolution of this concept and its elements via the BLC Framework. The methodology employs a time analysis of approximately three centuries to distinguish three distinct evolutionary phases: (i) the pre-industrial era, (ii) the industrial era, and (iii) the information-driven era. The key finding is an up-to-date discussion of the food for thought concept in two distinct geographical worlds and three-time eras, as well as a set of lessons learned according to a protest poem and a rock song. The results are presented in the form of five lessons learned with implications for public policy: the first two lessons pertain to issues of procedural justice as encapsulated in the anonymous 'The Goose' poem, while the last three result from a discussion of selected verses in Nick Cave's 'Fable of the Brown Ape' rock song. [ABSTRACT FROM AUTHOR]

A model of epidemic dynamics is developed that incorporates continuous variables for infection age and vaccination age. The model analyzes pre-symptomatic and symptomatic periods of an infected individual in terms of infection age. This property is shown to be of major importance in the severity of the epidemic, when the infectious period of an infected individual precedes the symptomatic period. The model also analyzes the efficacy of vaccination in terms of vaccination age. The immunity to infection of vaccinated individuals varies with vaccination age and is also of major significance in the severity of the epidemic. Application of the model to the 2003 SARS epidemic in Taiwan and the COVID-19 epidemic in New York provides insights into the dynamics of these diseases. It is shown that the SARS outbreak was effectively contained due to the complete overlap of infectious and symptomatic periods, allowing for the timely isolation of affected individuals. In contrast, the pre-symptomatic spread of COVID-19 in New York led to a rapid, uncontrolled epidemic. These findings underscore the critical importance of the pre-symptomatic infectious period and the vaccination strategies in influencing the dynamics of an epidemic. [ABSTRACT FROM AUTHOR]

Simple Summary: Papillary thyroid cancer diagnosis is a significant source of worry to patients, despite its relatively good prognosis. Such significant distress may prompt patients to receive surgical treatment, even when active surveillance may be a safer alternative. Patients with pre-existing anxiety and depression may be particularly prone to opting for surgical treatment. We collected data on the time between fine-needle aspiration (FNA) diagnosis and surgical treatment of a cohort of patients seen at a large tertiary center in New York in 2018–2020 and investigated mental health status as potential predictors. We found that pre-existing anxiety and depression may lead to shorter times for surgical intervention for thyroid cancer. Our study adds to the limited literature on mental health predictors of thyroid cancer decision making. (1) Background: A pre-existing psychiatric condition may impact decision making by patients and/or physicians following a thyroid cancer diagnosis, such as potentially electing surgery over active surveillance, thus shortening the time to cancer removal. This is the first study to investigate the association between pre-existing anxiety and/or depression and time to receive surgical treatment for thyroid cancer. (2) Methods: Retrospective data were collected from 652 surgical thyroid cancer patients at our institution from 2018 to 2020. We investigated the time between thyroid cancer diagnosis and surgery, comparing patients with pre-existing anxiety and/or depression to those without. (3) Results: Patients with anxiety, depression, and both anxiety and depression had a significantly shorter time between diagnosis and surgery (51.6, 57, and 57.4 days, respectively) compared to patients without (111.9 days) (p = 0.002, p = 0.004, p = 0.003, respectively). (4) Conclusions: Although little is known about the impact of pre-existing psychiatric conditions in the decision-making process for thyroid cancer surgery, this present study showed that anxiety and/or depression may lead to more immediate surgical interventions. Thus, psychiatric history may be an important factor for physicians to consider when counseling patients with thyroid cancer. [ABSTRACT FROM AUTHOR]

The dynamic relationship that exists between a religious rite and its territory is interpreted and analysed by religious anthropology as a form of protection, offered by the sacred to the place in which it resides. According to this interpretation, passage through the territory of what is reputed to be sacred or even its very presence as a sanctuary, drives evil away and is believed to perform a generally stable protective function. Within such a dynamic, the rite that actually creates this sacred passage, i.e., the procession of relics, lays the foundations for an analysis of the two specific variables that are, in actual fact, intwined: on the one side is the rite, and on the other, the territory. Such a relationship appears all the more problematic due to the progressive rationalisation of the religious dimension, extensively dealt with by Max Weber (Weber 1920) and accepted by contemporary sociology on religion, as it is now a supernatural phenomenon that is only considered to have a representational dimension. The internal secularization at the festival of Saint Rosalia happened in 2023, with the landing of the triumphal cart in New York. The rite moves to another new territory and transforms it. The cart of Saint Rosalia, preserved in the Columbus Citizens Foundation in New York, represents the identity of Sicilian immigrants but also a new form of ritualization on a new territory through an "ancient" ritual. When the sacred is located within the institutional dimension of a salvation religion presided over by an institution, it appears separate from any purely mechanical (and therefore magical) dimension, while the territory becomes a variable in which a multiplicity of factors are contained. These factors not only give importance to the very aspects of the ritual itself, boosting its civil and secular parts, but also to the religious programme, which undergoes unexpected transformations introduced by the presiding institution. The main object of this analysis is, therefore, to establish an interactive path whereby, on the one hand, the territory, through its various cultural components (both secular and religious), shapes the religious rite and how it places restrictions on those protective functions, while on the other, how the rite places its own constraints on the cultural transformations that take place in the fabric of society. [ABSTRACT FROM AUTHOR]

Saradamani Mukhopadhyay (1853–1920), more widely known as Sarada Devi and, to her devotees, the Holy Mother, presents an illuminating case study of the various means by which, in many respects, a highly traditional and typical rural Hindu woman of her time, operating from within the categories of Bengali Hindu society, was able to navigate these categories in ways that did not undermine, but rather enhanced, her agency, enabling her to shape her social reality in creative and transformative ways. Inhabiting the traditional role of mother and nurturer while carrying it out in a highly non-traditional manner, Sarada Devi played a central, often behind-the-scenes, role as a major influencer of an important modern Hindu spiritual movement—indeed, the first such movement to be able to boast an international following. Having no biological children of her own, Sarada Devi became the mother to this movement and to the monastic order dedicated to carrying forward the vision of her husband, Sri Ramakrishna Paramahamsa (1836–1886), as interpreted both by herself and his disciples, the most prominent of whom was Swami Vivekananda (1863–1902), who is well known for having brought Ramakrishna's teachings to the Western world through his lectures in America, including at the World Parliament of Religions held in Chicago in 1893 and his founding of the first Vedanta Societies, starting in New York in 1894. [ABSTRACT FROM AUTHOR]