Texas System Research Articles

Co-optimization of decarbonized operation of coal-fired power plants and seasonal storage based on green ammonia co-firing

Coal-fired power plants (CFPP) can provide significant inertia and flexibility support for power systems with a high share of renewable energy (RE). The ammonia–coal co-firing technology can effectively reduce carbon emissions (CE) from CFPP. We propose a low-carbon power supply and multi-timescale energy storage system in combination with this technology. The system consists of batteries, fuel cells and the CFPP equipped with the ammonia–coal co-combustion module. It can also cope with short and long term fluctuations in RE. We use the Mixed Integer Linear Programming method to construct an optimization model for this system. We then set up six sub-cases according to the power systems in Texas, USA. Based on weekly and annual simulations of these cases, we analyze the economic and environmental performances of the proposed system with different RE shares, as well as exploring the characteristics of different energy storage methods. Compared to batteries or fuel cells only scenarios, CFPP configured with green ammonia co-firing can significantly reduce the total operating cost (TOC), CE and RE curtailment. We use the rolling horizon optimization method to simulate and calculate the distribution of ammonia storage levels throughout the year. The ammonia storage levels are high in spring and autumn and low in summer. Finally, the sensitivity and efficiency analysis of the proposed system is carried out. As far as ammonia co-firing technology allows, the higher the maximum ammonia–coal mixing ratio, the lower TOC, CE and RE curtailment. This phenomenon is more significant at a higher RE share. The overall efficiency of green ammonia synthesis and combustion for power generation is around 13.92%. It can work in synergy with batteries and fuel cells to improve efficiency and reduce the marginal cost of long-term energy storage.

Bibliometric analysis of worldwide research trends on breast cancer about inflammation.

The most prevalent cancer and the second-leading cause of cancer-related mortality in women is breast cancer. Growing interest has been shown in recent years in learning more about the processes behind the development of breast cancer. It has been shown that persistent inflammation may play a significant role in the advancement of breast cancer. However, a comprehensive and objective analysis on the state of inflammation in breast cancer research is still lacking. This study was aim to undertake a bibliometric analysis of breast cancer research associated with inflammation between 2013 and 2022 in order to identify the trends, dynamics, and scientific outputs in thefield. From 2013 to 2022, original and review publications on breast cancer and inflammation-associated research were retrieved from the Web of Science Core Collection (WOSCC) database. To examine the position of yearly publications, journals, nations, institutions, and authors, we employed two bibliometric tools (CiteSpace and VOSviewer). After that, by examining keyword visualization and keyword bursts, we determined the hot research fields related to inflammation in breast cancer. we discovered 6902 publications regarding inflammation in breast cancer by using our retrieval approach. In terms of the number of publications, The United States ranked first in the global study, followed by China and Italy. In terms of institutions, the University of Texas System, UT MD Anderson Cancer Center, and University of California System are in the top 3 for the quantity of publications published. The most popular journal for this field research is "CANCERS." Ueno NT, Woodward WA, Cristofanilli M, and others have made significant contributions to the understanding of inflammation in breast cancer. In the end, we conducted a biclustering analysis on keywords and discovered three clusters that represent research hotspots. According to the global trend, the research output of inflammation in breast cancer is increasing. The information provided in this article, including the cooperation network information of authors, nations, journals, and institutions, may help researchers to better understand hotspots and developing patterns in this discipline. At present, the focus of study gradually shifts from "phenotype study" to "therapeutic research". It is recommended to pay attention to the latest hot spots, such as targeted therapy, antimicrobial activity andnanoparticle.

Emerging trends of BCG immunotherapy for bladder cancer in last decade: a bibliometric and visualization analysis.

One of the milestones in bacterial-mediated therapy for cancer, Bacillus Calmette-Guerin (BCG) has been used to treat bladder cancer (BC) for more than 30 years. BCG immunotherapy is now the standard of care for high-grade non-muscle invasive bladder cancer (NMIBC) following transurethral resection. We searched the Web of Science core collection (WoSCC) database and used bibliometric methods through CiteSpace (version 5.1.R6), VOSviewer (version 1.6.18) and R-Bibliometrix (version R 4.2.1) to analyze and discuss the current status and trends of BCG therapy of BC from 2012 to 2021 in terms of co-occurrence, co-polymerization and visualization. A total of 2476 publications were found, with the majority coming from the United States and China. Over the last decade, overall yearly outputs have increased fivefold, from 117 papers in 2012 to 534 records in 2021. Most publications were produced by the University of Texas System. The authors, Ashish M. Kamat of the University of Texas-MD Anderson Cancer Center in the United States, and Shahrokh F. Shariat of Weill Cornell Medical College, were pioneers in this field with the most publications. The journals, Urologic Oncology Seminars and Original Investigations, Cancers and Frontiers in Oncology, have published a dramatic increase in the number of articles, and tumor and urology nephrology research directions have received the most attention from journals. Furthermore, recent research has concentrated on muscle-invasive bladder cancer (MIBC). BCG therapy mechanism, BCG dose and strains, targeted therapy and immune checkpoint inhibitors (ICIs) for BC were attractive research contents, with ICIs (PD-1, PD-L1) being the most popular study point in recent years. With more research on tumor immunology, screening for more reliable biomarkers for precision treatment, and the development of combination regimens of ICIs, targeted treatment of BC stem cells, and personalized BC therapies may be promising areas of immunotherapy research in the coming years. The results of this bibliometric study can provide the current status and research trends of BCG therapy for BC in the last decade, and also further complements the research content of bacterial-mediated cancer therapy.

Delayed Diagnostic Paracentesis Is Associated with Increased Preventable Healthcare Utilization in Disadvantaged Patient Populations with Advanced Liver Disease and Elevated INR.

Patients hospitalized with cirrhosis, ascites, and elevated INR often experience delays in timely diagnostic paracentesis. Identify whether delays in diagnostic paracentesis were associated with adverse outcomes in a hospital system serving a large disadvantaged population. Retrospective cohort analysis of patients admitted from January 2017 to October 2019 with cirrhosis, ascites, and INR ≥ 1.5 across a multi-hospital health system in central Texas. We examined demographic and clinical characteristics of patients with diagnostic paracentesis (1) ≤ 24h; (2) > 24h; (3) therapeutic only or no paracentesis. We used logistic regression to examine differences in clinical outcomes controlling for confounders. 479 patients met inclusion criteria. 30.0% (N = 143) were Latino, 6.7% (N = 32) African American, and 67.8% (N = 325) under or uninsured. 54.1% of patients received a diagnostic paracentesis ≤ 24h of admission and 21.1% did not receive a diagnostic paracentesis during the hospitalization. Undergoing diagnostic paracentesis > 24h of admission was associated with a 2.3day increase in length of stay (95% CI 0.8-3.8), and OR 1.7 for an Emergency Room visit within 30days of discharge (95% CI 1.1-2.7) compared to receiving a diagnostic paracentesis ≤ 24h. Patients receiving diagnostic paracentesis in radiology were more likely to have a delay in procedure OR 5.8 (95% CI 2.8-8.6). Delayed diagnostic paracentesis is associated with increased preventable healthcare utilization compared with timely diagnostic paracentesis. Health systems should support efforts to ensure timely diagnostic paracentesis for patients with advanced liver disease, including performance at the bedside.

Exploring the Impact of Winter Storm Uri on Power Outage, Air Quality, and Water Systems in Texas, USA

Texas was hit by a record-setting cold snap from the 14–17 February 2021 after three decades that resulted in power outages, disruption of the public water systems, and other cascading effects. This study investigates the unprecedented impact of winter storm Uri on power outages, air quality, and water systems in Texas, USA. Analysis of the Parameter Regression of Independent Slopes Model (PRISM) gridded climate data showed that the average daily freezing temperature range was 0–−19 °C on 14 February 2021, with severe levels (−17–−19 °C) occurring in the Texas High Plains. Our results showed that the extreme freezing temperature persisted from 14–17 February 2021, significantly affecting power operation and reliability, and creating power outages across Texas. Uri impacted the public water systems and air quality on time scales ranging from a few minutes to several days, resulting in 322 boiling notices. The air quality index level exceeded the standard limit by 51.7%, 61.7%, 50.8%, and 60% in Dallas–Fort Worth, Houston–Galveston, Austin, and Lubbock regions. The level of the pollutants exceeded the EPA NAAQS standard allowable limits during winter storm Uri. In general, this study gives information on the government’s future preparedness, policies, communication, and response to storm impacts on vulnerable regions and communities.

Global productivity and research trends of colorectal carcinoma: A scientometric analysis of studies published between 1980 and 2021.

Although colorectal cancer (CRC) is a serious cause of death and has a significant impact on patients' quality of life and incidence rate of CRC has increased among the younger populations, bibliometric research of CRC has not been conducted yet. To perform a comprehensive analysis of scientific publications on CRC using various statistical and bibliometric techniques. Publications on CRC published between 1980 and 2021 were downloaded from the Web of Science database and analyzed using statistical methods. The trending topics, collaborations among countries, and citation relationships were analyzed using bibliometric network visualization mapping. The number of articles to be probably published in the next 5 years was estimated using the exponential smoothing estimator. The Spearman's correlation rank correlation coefficient was used to analyze the correlations among the variables. A total of 122,717 publications were found in the fields of oncology, gastroenterology, hepatology, and surgery. Of the published articles, 64,774 publications were research articles. The top five countries that contributed the most to the literature were the USA (16,604; 25.6%), China (10,567; 16.3%), Japan (7932; 12.2%), the UK (5009; 7.1%), and Italy (4287; 6.6%). The most prolific author, institution, and journal in the field of CRC were Zhang Y (n = 331), University of Texas System (n = 1646), and Diseases of the Colon and Rectum (n = 2090), respectively. The most influential journal based on the average number of citations received per article was CA-A Cancer Journal for Clinicians (citations per article; 286). There was a significant positive correlation between the number of articles produced by the countries on CRC and gross domestic product and human development index (r = 0.726, P < .001; r = 0.658, P < .001, respectively). Additionally, a significant moderate correlation of CRC was found with gross domestic product per capita (r = 0.711, P < .001). Keywords like overall survival, neoadjuvant chemoradiotherapy, locally advanced rectal cancer, robotic surgery, anastomotic leakage, chemoradiotherapy, metastatic colorectal cancer, KRAS, meta-analysis, colorectal surgery, and laparoscopic surgery were studied.

Disparities in Elective and Nonelective Total Hip Arthroplasty

BackgroundPrior studies have shown disparities in utilization of primary and revision total hip arthroplasty (THA). However, little is known about patient population differences associated with elective and nonelective surgery. Therefore, the aim of this study was to explore factors that influence primary utilization and revision risk of THA based on surgery indication. MethodsData were obtained from 7,543 patients who had a primary THA from 2014 to 2020 in a database, which consists of multiple health partner systems in Louisiana and Texas. Of these patients, 602 patients (8%) underwent nonelective THA. THA was classified as “elective” or “nonelective” if the patient had a diagnosis of hip osteoarthritis or femoral neck fracture, respectively. ResultsAfter multivariable logistic regression, nonelective THA was associated with alcohol dependence, lower body mass index (BMI), women, and increased age and number of comorbid conditions. No racial or ethnic differences were observed for the utilization of primary THA. Of the 262 patients who underwent revision surgery, patients who underwent THA for nonelective etiologies had an increased odds of revision within 3 years of primary THA (odds ratio (OR) = 1.66, 95% Confidence Interval (CI) = 1.06-2.58, P-value = .025). After multivariable logistic regression, patients who had tobacco usage (adjusted odds ratio (aOR) = 1.36, 95% CI = 1.04-1.78, P-value = .024), alcohol dependence (aOR = 2.46, 95% CI = 1.45-4.15, P-value = .001), and public insurance (OR = 2.08, 95% CI = 1.18-3.70, P-value = .026) had an increased risk of reoperation. ConclusionDemographic and social factors impact the utilization of elective and nonelective primary THA and subsequent revision surgery. Orthopaedic surgeons should focus on preoperative counseling for tobacco and alcohol cessation as these are modifiable risk factors to directly decrease reoperation risk.

Special issue on “Optimal design and operation of energy systems”

Special issue on “Optimal design and operation of energy systems”

CLINICAL CHARACTERISTICS AND MORTALITY IN ADULTS 85 YEARS AND OLDER HOSPITALIZED WITH SARS-COV-2

Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) places older adults at increased risk of hospitalization and mortality due to coronavirus disease 2019 (COVID-19). To date, research and regulatory data describe adults 65 years and older, with few reporting on characteristics specific to older adults 85 and older (“oldest-old”). A consecutive 12-month case series including 1,510 oldest-old patients hospitalized with SARS-CoV-2 is presented to describe clinical characteristics, Intensive Care Unit (ICU) utilization and in-hospital mortality from 26 urban, suburban and rural-serving hospitals in an integrated health system in Texas. Known predictors of poor prognosis in COVID-19 include older age, male sex, metabolic risk factors (dyslipidemia, obesity, diabetes) and respiratory failure requiring oxygen support. Compared with hospitalized patients &amp;lt; 85 years, oldest-old patients more often had 4+ chronic conditions (31% vs 12%, p&amp;lt; 0.0001), but less often had metabolic risk factors associated with increased risk for mechanical ventilation and mortality. Specifically, diabetes prevalence was similar between age groups (27% oldest-old vs 30%, NS), while obesity prevalence was lower (18% oldest-old vs 55%, p&amp;lt; 0.0001). Oxygen support requirements were largely similar to the general population, with 4 of 5 hospitalized patients requiring oxygenation support. Of 1,510 oldest-old patients hospitalized for SARS-CoV-2, 269 (18%) required admission to an ICU, 1,206 (80%) required oxygen support, and 1,221 (81%) survived. Following hospitalization, 78% required supportive care, including hospice (15%). Hospitalization characteristics across the lifespan suggest an accelerated and compounded need for ICU recovery and post-hospitalization rehabilitation attributed to the COVID-19 pandemic.

Top 100 Highly Cited Articles on Rhinoplasty between 2001 and 2020: A Bibliometric and Visualized Analysis.

The authors performed a bibliometric and visualized analysis of the top 100 highly cited articles in rhinoplasty published between 2001 and 2020, to provide researchers with the present research status and the potential directions. The authors obtained data from the Web of Science Core Collection on April 7, 2021. Quantitative and qualitative analyses were performed using the Web of Science. Collaboration and keyword analyses were performed using VOSviewer software. The top 100 highly cited articles included 86 original research articles and 14 reviews. The average total citations was 77 (range, 50 to 202). The article with 202 citations was published by Toriumi in 2006 and was the most influential reference. The most common level of evidence was level IV ( n = 24). Only five articles had a level of evidence of I. The top 100 articles were published in 24 journals. Plastic and Reconstructive Surgery published 49 articles with 4013 citations. The United States published the most highly cited articles. The University of Texas System published 16 articles with 1166 citations. R. J. Rohrich published 14 articles with 1025 total citations. "Cleft lip and palate," "FACE-Q," "Functional Rhinoplasty Outcome Inventory 17," "NOSE scale" (Nasal Obstruction Symptom Evaluation scale), "quality-of-life," "questionnaire," and "RHINO scale" (Rhinoplasty Health Inventory and Nasal Outcomes scale) were important keywords. Plastic and Reconstructive Surgery was the most influential journal, most research was reported from the United States, and the University of Texas System published the most highly cited article. R. J. Rohrich, R. K. Daniel, and B. Guyuron were the most prolific and influential authors. Global cooperation in rhinoplasty requires further strengthening.

The global research of bladder cancer immunotherapy from 2012 to 2021: A bibliometric analysis.

Intravesical instillation of Bacillus Calmette-Guérin has been used as an immunotherapy to treat superficial bladder cancer for almost half a century. In recent years, the approval of several monoclonal antibody treatments has transformed the treatment landscape for patients with muscle-invasive or metastatic uroepithelial carcinoma. The purpose of this study was to conduct a thorough review of immunotherapy in bladder cancer through a bibliometric approach. Publications related to bladder cancer immunotherapy were obtained from the Web of Science Core Collection on July 1st, 2022. We conducted a bibliometric analysis of literature information using CiteSpace IV, VOSviewer, and Scimago Graphica, including co-authorship or co-citation of authors, countries/regions, journals, references, and keyword co-occurrence. There was a total of 2,352 papers included, with the most contributions coming from the United States, China, and Italy. The United States had the highest H-index value and was the leading country in this field. Meanwhile, the number of publications in China was steadily growing. The top three productive researchers were Kamat AM, Necchi A, and Shariat SF, with Powles T as the top co-cited author. Most papers were published by the University of Texas System. The majority of papers in this field were published in Urologic Oncology Seminars and Original Investigations and European Urology was the most influential journal with the highest H-index. The tumor microenvironment and complete molecular characterization may still be the frontier in this research area, allowing us to obtain a better understanding of the pathogenesis and clinical prognosis of bladder cancer. More research are conducted to identify clinically meaningful biomarkers that may provide opportunities for the personalization of bladder cancer therapy. This study provides clinicians and researchers with an overview and helpful guidance on how to choose the research direction and management of bladder cancer immunotherapy.

Editorial introductions.

Editorial introductions.

Elodia Guerra, a Woman Evangelist Ahead of Her Time

ABSTRACT: The Southern Methodist educational system in Texas was aimed at creating a group of Mexicans who would live and teach a Christian life. Elodia Guerra was educated in such an institution and became an evangelist appointed by the Mexican Border Conference in the years 1929 to 1933. In the usual way itinerant evangelists traveled the country, hired by preachers and congregations, she carried out evangelistic campaigns from the Dallas-Fort Worth area to the border. This was a period when Southern Methodism did not allow women preachers, at least with official appointments. Therefore, she began breaking the stained-glass ceiling in her church. This article describes her upbringing, her commitement to the preaching of Gospel, and her main achievements.

Effect of mustard cover crops on corn growth, yield and soil water storage in southwest Texas

Mustard cover crops can provide multiple soil health benefits but may adversely affect cash crops by depleting soil water. This was tested in a center-pivot irrigated corn cropping system in southwest Texas from 2018 to 2020. Changes in biomass growth of both the cover crops and corn, and soil water content in the root zone were monitored multiple times during the main growth periods of the crops. Upon termination, biomass production of cover crops averaged 4271 kg/ha, with equivalent nitrogen and phosphorus inputs to the soil of 92 kg/ha and 12 kg/ha, respectively. Over 2 years, water use during the main growth period of the mustard cover crops and the fallow area averaged at 1.4 mm/day and 1.1 mm/day, respectively, and water use of corn following the mustard and fallow averaged at 4.0 mm/day and 3.7 mm/day, respectively, although the differences were only marginally significant. Our data suggest that water use of cover crops was affected by their growth patterns. The mustard cover crops depleted soil water in a dry year (2019–2020), but to a less extent in a wet year (2018–2019). In either year, however, corn yield was not reduced in association with cover crop use, although the improved shoot biomass growth in corn associated with mustard cover crops was observed in the wet year but not in the dry year. Mustard cover crops tended to reduce deep drainage during the corn seasons, which has implications in preventing the leaching loss of nitrogen in the crop root zone.

Cancer and COVID-19 research studies with team science: a bibliometric study

ABSTRACT Team science refers to research initiatives considered in collaboration with scientists from different disciplines or fields. This paper presents a bibliometric analysis for visualization of global research activity concerning the combination of cancer and the COVID-19 pandemic using a team science approach. A bibliometric study was implemented using Web of Science from 2019 to 2021. We analyzed citations to identify description and citations analysis of results, most prolific countries, international research collaboration, most prolific institutions, research areas, most cited papers, and most productive journals. The preliminary data of 2,313 studies that adopted a team science approach were recorded and analyzed. Team science is becoming progressively popular in cancer research. The United States was the most active country, followed by Italy and China. The United States, the United Kingdom, and Italy had the highest level of cooperation with other countries. The most prolific institution was Harvard University, followed by University of London and the University of Texas System. Head and Neck Journal for the Sciences and Specialties of the Head and Neck, Frontiers in Oncology, and eCancerMedicalScience were the most productive journals. Governments, organizations, policymakers, and researchers should pay attention to team science approach at times of disasters such as cancer and COVID-19 to achieve the best strategies for controlling cancer that is currently a world problem.

National priorities in the power system transition to net-zero: No one size fits all

SummaryNet-zero emissions targets are increasingly being adopted globally. However, there is a disconnect between policy mechanisms, that primarily focus on incentives to reduce emissions, and technological requirements to achieve this aim. In this context, an absence of CO2 removal incentives effectively precludes complete decarbonization, while potentially increasing the cost. Here, we quantify the effectiveness of carbon tax, negative emissions credit, and technology improvements in delivering net-zero targets cost-effectively in the UK, Poland, Texas, and Wyoming power systems. We show that the combination of a carbon tax and negative emissions credit is critical to reaching net-zero targets. From the techno-economic perspective, while all cost reduction is welcome, a further cost reduction of renewable energy is uniquely valuable in minimizing the transition cost. However, even with the availability of electricity storage, dispatchable and low-carbon thermal plants are key to cost-effectively maintaining system reliability, regardless of the costs of other alternatives.

Multi-center matched cohort study of convalescent plasma for hospitalized patients with COVID-19.

BackgroundAlthough frequently used in the early pandemic, data on the effectiveness of COVID-19 convalescent plasma (CCP) remain mixed. We investigated the effectiveness and safety of CCP in hospitalized COVID-19 patients in real-world practices during the first two waves of the pandemic in a multi-hospital healthcare system in Texas.Methods and findingsAmong 11,322 hospitalized patients with confirmed COVID-19 infection from July 1, 2020 to April 15, 2021, we included patients who received CCP and matched them with those who did not receive CCP within ±2 days of the transfusion date across sites within strata of sex, age groups, days and use of dexamethasone from hospital admission to the match date, and oxygen requirements 4–12 hours prior to the match date. Cox proportional hazards model estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for effectiveness outcomes in a propensity score 1:1 matched cohort. Pre-defined safety outcomes were described. We included 1,245 patients each in the CCP treated and untreated groups. Oxygen support was required by 93% of patients at the baseline. The pre-defined primary effectiveness outcome of 28-day in-hospital all-cause mortality (HR = 0.85; 95%CI: 0.66,1.10) were similar between treatment groups. Sensitivity and stratified analyses found similar null results. CCP-treated patients were less likely to be discharged alive (HR = 0.82; 95%CI: 0.74, 0.91), and more likely to receive mechanical ventilation (HR = 1.48; 95%CI: 1.12, 1.96). Safety outcomes were rare and similar between treatment groups.ConclusionThe findings in this large, matched cohort of patients hospitalized with COVID-19 and mostly requiring oxygen support at the time of treatment, do not support a clinical benefit in 28-day in-hospital all-cause mortality for CCP. Future studies should assess the potential benefits with specifically high-titer units in perhaps certain subgroups of patients (e.g. those with early disease or immunocompromised).

Diabetes Prevalence, Risk Factors, and Care in Asian American and Pacific Islanders of Texas: Data From the 2015-2019 Behavioral Risk Factors Surveillance System.

The purpose of this study was to investigate the health status and needs of the Asian American/Pacific Islander (AAPI) population with diabetes in Texas. This was a cross-sectional secondary analysis of data collected from the Behavioral Risk Factors Surveillance System in Texas from 2015 to 2019 for non-Hispanic White (NHW) and AAPI adults. Although the overall crude diabetes prevalence was lower in AAPI adults, age-adjusted diabetes prevalence was higher than in NHWs. Significant risk factors associated with diabetes in the AAPI group included being male, marital status, lower education levels, lower income, being overweight/obese, and having a sedentary lifestyle. Engagement in self-management activities (checking blood glucose, checking feet, attending a diabetes management course) was lower in AAPIs than in NHWs. Given stiff barriers to adequate screening and self-management support in diabetes care among ethnic populations such as AAPIs, targeted efforts to improve diabetes screening and effective care are warranted. Because today's AAPI populations are predominantly first-generation immigrant groups who suffer from language barriers, efforts should be made to develop health surveys in multiple languages for wider inclusion of understudied groups like AAPIs in diabetes-related research.

A Time-Series Feature-Based Recursive Classification Model to Optimize Treatment Strategies for Improving Outcomes and Resource Allocations of COVID-19 Patients.

This paper presents a novel Lasso Logistic Regression model based on feature-based time series data to determine disease severity and when to administer drugs or escalate intervention procedures in patients with coronavirus disease 2019 (COVID-19). Advanced features were extracted from highly enriched and time series vital sign data of hospitalized COVID-19 patients, including oxygen saturation readings, and with a combination of patient demographic and comorbidity information, as inputs into the dynamic feature-based classification model. Such dynamic combinations brought deep insights to guide clinical decision-making of complex COVID-19 cases, including prognosis prediction, timing of drug administration, admission to intensive care units, and application of intervention procedures like ventilation and intubation. The COVID-19 patient classification model was developed utilizing 900 hospitalized COVID-19 patients in a leading multi-hospital system in Texas, United States. By providing mortality prediction based on time-series physiologic data, demographics, and clinical records of individual COVID-19 patients, the dynamic feature-based classification model can be used to improve efficacy of the COVID-19 patient treatment, prioritize medical resources, and reduce casualties. The uniqueness of our model is that it is based on just the first 24 hours of vital sign data such that clinical interventions can be decided early and applied effectively. Such a strategy could be extended to prioritize resource allocations and drug treatment for futurepandemic events.

Beyond the Metaphor of Slavery

Beyond the Metaphor of Slavery