Intermediate Results of the Research for Percutaneous and Surgical Treatment for Left Anterior Descending Artery Chronic Total Occlusion

Objective: Is to find out which revascularization methods have less of risk factors and complications after the surgery and long-term period. Method(s): From January 2018 to December 2019 were operated 134 patients with LAD CTO. 48 of them underwent MIDCAB: 36 (75%) males and 12 (25%) females;aged 58.7 +/-8.7;7 (14.6%) with previous diabetes;10 (20.8%) with previous PCI of LAD with drug-eluting stent. In the PCI group there were 86 patients: 52 (60.5%) males and 34 (39.5%) females;aged 64.8 +/-8.3;23 (26.7%) with previous diabetes. Result(s): Hospital mortality was 0 (0%) in MIDCAB unlike 1 (1.2%) in PCI. Myocardial infarction was 0 (0%) in both the groups. In MIDCAB the number of conversions to onpump and sternotomy was 0 (0%), there were 6 (12.5%) pleuritis with pleural puncture and 3 (6.2%) with long wound-aches. The hospitalization period was 10.7+/-2.9 days for MIDCAB and 9.9 +/-3.9 days for PCI. In the PCI group 2.0 +/-1.0 drug-eluting stents were used. In-hospital costs were higher for PCI 3809 unlike 3258 for MIDCAB. After one year in MIDCAB group died 2 (4.2%) patients, from noncardiac causes. In PCI group died 3 (3.5%) patients, all from cardiac causes. Because of pandemic COVID-19 were checked only 48 patients by angiography and general clinical examination: 25 after MIDCAB and 23 after PCI. 5 patients have a graft failure, caused by surgical mistakes. 4 patients have stents restenosis and 1 has LAD's reocclusion. Conclusion(s): Both methods of revascularization for LAD CTO are demonstrated similar results. EuroSCORE II (P = 0.008) and glomerular filtrating rate (P = 0.004) are significant potential risk factors for mortality in both groups, age is potential risk factor for graft failure (P = 0.05). Dyslipidemia is significant risk factor for LAD restenosis in PCI group (P = 0.02). MIDCAB is associated with lower incidence of revascularization repeat and in-hospital mortality in the literature data and it costs lower than PCI for LAD CTO as our study has shown.

Malnutrition Prevalence and Economic Burden Among US Hospitalized Older Adult Patients with and without COVID-19

Objectives: Malnutrition is a prevalent condition affecting 30-50% of hospitalized patients. Malnutrition is linked to impairments in health outcomes and increased economic burden on healthcare systems. We assessed the prevalence and burden of malnutrition by examining demographic characteristics, Disease Related Group (DRG) payments and associated claims among Medicare inpatients (65+ years) with and without COVID-19. Method(s): Hospital inpatient COVID-19 claims from the Centers for Medicare & Medicaid Services (CMS) Inpatient Prospective Payment System (IPPS) between October 2020 - September 2021 were analyzed. The International Classification of Diseases, Tenth Revision, and Clinical Modification (ICD-10-CM) were used for malnutrition diagnoses. Demographic variables were compared based on the COVID-19 status;economic burden was analyzed by DRG payment of malnutrition cases with and without COVID-19. Result(s): Among 7,394,657 Medicare inpatient claims, only 12% had a documented malnutrition diagnosis. Of these patients, 1.2% had COVID-19. Regardless of COVID-19 status, malnourished patients averaged 75 years of age, and were predominantly female (54%) and White (78%) followed by Black (14%), and Hispanic (2%). Sepsis, kidney failure, and urinary tract infection (UTI) were the most common primary diagnoses in malnourished patients, regardless of COVID-19 status. Malnourished patients with COVID-19 had significantly higher DRG payments ($27,407 vs. $18,327) and increased cost of outlier payment ($3,208 vs. $2,049) compared to those without COVID-19, regardless of other diagnoses. Conclusion(s): Malnutrition diagnosis was confirmed in only 12% of the Medicare inpatients, thus suggesting that malnutrition continues to be underdiagnosed and undertreated - evidenced by high rates of hospitalizations/claims and payments in both COVID-19 and non-COVID-19 cases. It is imperative for hospitals to implement nutrition-focused protocols to identify, diagnose and address malnutrition among all Medicare inpatients regardless of COVID-19 status (and especially among patients with sepsis, kidney failure, and UTI). Nutrition-focused protocols can effectively improve patient health outcomes and reduce healthcare costs.Copyright © 2023

Patients Characteristics, Vaccine Uptake, Healthcare Resource Utilization and Costs Associated with Acute COVID-19 during the Omicron Predominant Period in Brazil: A Nationwide Database Study

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has imposed significant burden on Brazil's health system. The present study aims to describe patients' demographic and clinical characteristics, vaccine uptake and assess healthcare resource utilization (HCRU) and costs associated with acute COVID-19 in Brazil during the Omicron predominant period. Method(s): A population-based retrospective study was conducted using the National Health Data Network (RNDS), National Vaccination Campaign against COVID-19 data and surveillance data in public setting. Individuals with positive COVID-19 test results between January-April 2022 were identified. Patients' demographics, comorbidities, vaccination status, HCRU for those who were admitted to hospitals and their associated costs were described by age groups. Result(s): A total of 8,160,715 COVID-19 cases were identified and 2.7% were aged <5 years, 11.6% were 5-19 years, 76.9% were 20-64 years and 8.7% were >= 65 years. The presence of comorbidity was 23.1% with a higher prevalence of comorbidities in the elderly (61.8% for 65-74 years and 71.2% for >=75 years). Regarding COVID -19 vaccination uptake, among those aged <=19 years, 20-64 years and >=65 years, 40.6%, 86.5% and 92.2% had primary series, respectively. Among adults, the booster uptake was 47.3% and 75.8% for those aged 20-64 years and >= 65 years, respectively. Among those with confirmed COVID-19, regardless of vaccination status, 87% were being symptomatic and 1.7% were hospitalized (3.8% in aged <5 years, 4.2% in 5-19 years, 34.3% in 20-64 years and 57.6% in >= 65 years). Among hospitalized patients, 32,6% were admitted to ICU and 80% required mechanical ventilation support. The average cost per day in normal wards and ICU without ventilation was R$291,89 and R$923,90, respectively. Conclusion(s): Our results quantify the public health and economic burden of COVID-19 in Brazil, suggesting substantial healthcare resources required to manage the COVID-19 pandemic.Copyright © 2023

Healthcare Resource Utilization and Costs Associated with Acute COVID in Adult Patients Managed in the Community or Hospital Setting in England: A Population-Based Study

Objectives: The COVID pandemic has imposed significant direct medical cost and resource use burden on healthcare systems. This study described the patient demographic and clinical characteristics, healthcare resource utilization and costs associated with acute COVID in adults in England. Method(s): This population-based retrospective study used linked primary care (Clinical Practice Research Datalink, CPRD, Aurum) and secondary care (Hospital Episode Statistics) data to identify: 1) hospitalized (admitted within 12 weeks of a positive COVID-19 PCR test between August 2020 and March 2021) and 2) non-hospitalized patients (positive test between August 2020 and January 2022 and managed in the community). Hospitalization and primary care costs, 12 weeks after COVID diagnosis, were calculated using 2021 UK healthcare reference costs. Result(s): We identified 1,706,368 adult COVID cases. For hospitalized (n=13,105) and non-hospitalized (n=1,693,263) cohorts, 84% and 41% considered high risk for severe COVID using PANORAMIC criteria and 41% and 13% using the UKHSA's Green Book for prioritized immunization groups, respectively. Among hospitalized cases, median (IQR) length of stay was 5 (2-7), 6 (4-10), 8 (5-14) days for 18-49 years, 50-64 years and >= 65 years, respectively;6% required mechanical ventilation support, and median (IQR) healthcare costs (critical care cost excluded) per-finished consultant episode due to COVID increased with age (18-49 years: 4364 (1362-4471), 50-64 years: 4379 (4364-5800), 65-74 years: 4395 (4364-5800), 75-84 years: 4473 (4364-5800) and 85+ years: 5800 (4370-5807). Among non-hospitalized cases, older adults were more likely to seek GP consultations (13% of persons age 85+, 9% age 75-84, 7% age 65-74, 5% age 50-64, 3% age 18-49). Of those with at least 1 GP visit, the median primary care consultation total cost in the non-hospitalized cohort was 16 (IQR 16-31). Conclusion(s): Our results quantify the substantial economic burden required to manage adult patients in the acute phase of COVID in England.Copyright © 2023

Intelligent Telework Internet Cost Requirement Modeling Using Optimizable Machine Learning Algorithms

The COVID-19 pandemic has caused disruption to the economy due to the increasing infection that affects the workforce in different sectors. The Philippine government has imposed lockdowns to control the spread of infection. This urged the different sectors to implement flexible work schedules or work from home setup. A work-from-home (WFH) setup burdens both the employee and employer by installing different equipment set-ups such as WiFi-equipped laptops, computers, tablets, or smartphones. However, the internet stability in some of the areas in the Philippines is not yet reliable. In this study, an application is used collect survey information and provide an estimate of the telework internet cost requirement of a given government employee or a given government employee implementing a work-from-home set up in their respective household. This involves survey results from different respondents who are currently on a work-from-home setup and significant factors from the survey have been analyzed using machine learning (ML) algorithms. Among the machine learning algorithms used, the ensemble bagged trees model outperformed the other ML models. This work can be extended by incorporating a wider scope of datasets from different industry doing work from home set-up. In addition, in terms of education, it is also recommended to determine the WFH set up not just with the government employee and employer but to also extend this into the education side. © 2022 IEEE.

Control System for Indoor Safety Measures Using a Faster R-CNN Architecture

This paper presents a control system for indoor safety measures using a Faster R-CNN (Region-based Convolutional Neural Network) architecture. The proposed system aims to ensure the safety of occupants in indoor environments by detecting and recognizing potential safety hazards in real time, such as capacity control, social distancing, or mask use. Using deep learning techniques, the system detects these situations to be controlled, notifying the person in charge of the company if any of these are violated. The proposed system was tested in a real teaching environment at Rey Juan Carlos University, using Raspberry Pi 4 as a hardware platform together with an Intel Neural Stick board and a pair of PiCamera RGB (Red Green Blue) cameras to capture images of the environment and a Faster R-CNN architecture to detect and classify objects within the images. To evaluate the performance of the system, a dataset of indoor images was collected and annotated for object detection and classification. The system was trained using this dataset, and its performance was evaluated based on precision, recall, and F1 score. The results show that the proposed system achieved a high level of accuracy in detecting and classifying potential safety hazards in indoor environments. The proposed system includes an efficiently implemented software infrastructure to be launched on a low-cost hardware platform, which is affordable for any company, regardless of size or revenue, and it has the potential to be integrated into existing safety systems in indoor environments such as hospitals, warehouses, and factories, to provide real-time monitoring and alerts for safety hazards. Future work will focus on enhancing the system's robustness and scalability to larger indoor environments with more complex safety hazards.

What's Left in Your List? An Analysis of Business Database Holdings, Funding Sources, Cancelations, and the Impact of COVID-19 at Top Ranking U.S. Universities

Business and economics related databases and data sets are the most vital resources for supporting scholarly research and the curriculum at colleges and schools of business, and these resources evolve rapidly and are subject to significant price fluctuations. In this study, the top-ranking U.S. universities according to the U.S. News and World Report with Association to Advance Collegiate Schools of Business (AACSB) accreditation were surveyed about their subscriptions to databases, WRDS data sets, and Bloomberg Terminals to create a benchmark. In this survey, these institutions were also asked to provide information about funding source or cost-sharing changes and cancelations brought forth by budgetary pressures from COVID-19. The intent was to provide a snapshot of the impact of COVID-19 but to also provide guidance to institutions facing similar budgetary pressures in a future financial crisis. [ FROM AUTHOR] Copyright of Journal of Business & Finance Librarianship is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Research on the Optimal Energy Saving and Emission Reduction Path for Promoting High-Quality Industrial Development in Hubei Province

In December 2019, a novel coronavirus broke out in Wuhan City, Hubei Province, and, as the center of the coronavirus disease 2019 (COVID-19) epidemic, the economy and production throughout Hubei Province suffered huge temporary impacts. Based on the input–output and industrial pollution emissions data of 33 industrial industries in Hubei from 2010 to 2019, this article uses the non-parametric frontier analysis method to calculate the potential production losses and compliance costs caused by environmental regulations in Hubei's industrial sector by year and industry. Research has found that the environmental technology efficiency of the industrial sector in Hubei is showing a trend of increasing year-on-year, but the overall efficiency level is still not high, and there is great room for improvement. The calculation results with and without environmental regulatory constraints indicate that, generally, production losses and compliance costs may be encountered in the industrial sector in Hubei, and there are significant differences by industry. The potential production losses and compliance costs in pollution-intensive industries are higher than those in clean production industries. On this basis, we propose relevant policy recommendations to improve the technological efficiency of Hubei's industrial environment, in order to promote the high-quality development of Hubei's industry in the post-epidemic era.

Direct costs of hospital care according to coinfection in adult COVID-19 patients

Objective: To estimate the direct costs of hospital care according to coinfection in adult COVID-19 patients. Material(s) and Method(s): A retrospective follow-up study of adult patients hospitalized for COVID-19 between March and August 2020 at the San Vicente Foundation Hospitals (Medellin and Rionegro, Colombia). Patients whose diagnosis of SARS-Cov2 pneumonia was confirmed by RT-PCR test were included. Death from any cause and length of stay were considered outcome variables. Costs were estimated in 20 20 US dollars. Result(s): 365 patients with an average age of 60 years (IQR: 46-71), 40% female, were analyzed. 60.5% required an Intensive Care Unit (ICU). All-cause mortality was 2.87 per 100 patient-days. Patients admitted to the ICU who developed coinfection had an average length of stay of 27.8 days (SD:17.1) and an average cost of $23,935.7 (SD: $16,808.2);patients admitted to the ICU who did not develop a coinfection had an average length of stay of 14.7 days (SD:8.6) and an average cost of $9,968.5 (SD: $8,054.0). Conclusion(s): A high percentage of patients required intensive care, and there was a high mortality due to COVID-19. In addition, a higher cost of care was observed for those patients who developed coinfection and were admitted to ICU.Copyright © 2023 Asociacion Colombiana de Infectologia. All rights reserved.

Securing the Supply Chain

According to market research, the API market is expected to experience a compound annual growth rate of 6.7% in the forecast period of 2020-2027 (1). "The low-cost benefits of manufacturing APIs and drug products within Asia has helped to turbocharge the generic drug industry and expand global access to a range of lower-cost medication options," says Meudt. "The shift has been positive for patients, allowing consumers to benefit from lower cost drugs from US Food and Drug Administration (FDA) and European Union (EU) inspected current good manufacturing practice (cGMP) facilities while still maintaining quality, innovation, and allowing efficient drug development and commercialization routes," he says. "While manufacturing cost will always be important, pharmaceutical companies are increasingly selecting their long-term CMOs based upon other factors including security of quality and supply, regulatory track record, data control, and environmental sustainability.

A stimulus-organism-response perspective to examine green hotel patronage intention

PurposeThis study aims to investigate the relationships among monetary cost (stimulus), perceived greenwash fear, attitude and perceived behavioural control (organism-related factors) and green hotel patronage intention (response) using the stimulus-organism-response (S-O-R) model.Design/methodology/approachA total of 262 valid questionnaires were collected. Data were collected using the purposive sampling method and tested using the partial least squares (PLS) approach.FindingsMonetary cost is positively related to only one organism-related factor which is perceived greenwash fear. All organism-related factors are positively related to response, which is green hotel patronage intention. Attitude mediates the relationship between perceived greenwash fear and green hotel patronage intention, as well as perceived behavioural control and green hotel patronage intention.Research limitations/implicationsA longitudinal study can be performed in the future to observe the actual green hotel patronage behaviour of customers.Practical implicationsGreen hoteliers should focus on the development of communication strategies to enhance their corporate reputation. Green hoteliers also need to build trust by showing their green initiatives are genuine, identify consumers who are willing to pay more for green hotels and offer promotions with price incentives such as frequency discounts, coupons and rebates to increase interest and trialability.Originality/valueFew studies have focused on the use of monetary cost as a stimulus in the S-O-R model to predict green hotel patronage intention. This study also tested the mediating effect of attitude, one of the organism-related factors, in the model.

The Importance of Low-Cost Live Feed Culture Technology to the Marine Shrimp Industry during COVID-19

The importance of live feed as a beginning diet in marine shrimp (Penaeus sp.) is largely dependent on careful management during the early stages of larval growth. The COVID-19 pandemic has a significant impact on Malaysian aquaculture, which is critical for seafood supply and security. Cladocerans are an alternative live feed species that outperform Artemia nauplii in terms of nutritional value, economic value, availability, and reproduction rate. In terms of supplying live feed for commercial aquaculture, cladoceran culture and cultivation can therefore be an economically viable, sustainable, and desirable live feed species. The purpose of this study is to collect information on low-cost live feed for marine shrimp used in aquaculture and how COVID-19 affects the sector. Thus, a survey was conducted at a private hatchery and farm in Pekan and Badong, Pahang, Malaysia to investigate the importance of low-cost live feed culture technology to the marine shrimp industry during COVID-19. A total of 20 respondents took part in the survey. During the COVID-19 period in Malaysia, data were gathered using a questionnaire that was planned to be completed via an online form from August 2020 through December 2020. The software utilised was a Google application (Google Form). The data gathered revealed the importance of utilising live feed for maintaining shrimp larvae production in the sector. The current data are critical for developing policy actions to support seafood industries affected by the pandemic at both the national and international levels. Copyright©2023 by authors, all rights reserved.

Low-intensity online intervention (LiON) for distressed young people in Hong Kong: Preliminary findings

Previous studies have demonstrated that low-intensity intervention is effective in improving mental health in young people. Whilst interventions have majorly been offered online during COVID-19 pandemic, it is not known whether low-intensity interventions delivered online can also help reduce the level of distress experienced by young people. The study aimed to determine whether a low-intensity online intervention (LiON) can reduce levels of distress in young people greater than those in similar initial distress levels but received no intervention. Young people aged 15 to 24 were recruited for the 4-weekly LiON intervention consisting of three modules namely sleep and relaxation, stress-coping and problem-solving. The reductions in distress level after intervention were compared to those that occurred over a period of 3 months among community young people with similar baseline K6 distress levels. Seventy-four young people (mean age 20.24 [SD 2.26] years, 71.6% female) received the LiON intervention from December 2021 to July 2022. We observed a greater improvement in their distress levels after receiving the intervention than those with no intervention in the community (beta -4.13, 95%CI -5.12, -3.07, p < .001, Cohen's f2 0.027). The findings offered evidence that the LiON intervention significantly reduced young people's distress level in addition to the improvement that may occur naturally. The use of LiON is adaptable to a wider variety of frontline community organizations. Future evaluation of its cost-effectiveness is warranted.

A 3D printed microfluidic PCR device towards detecting SARS-CoV-2

A 3D printed (3DP) microfluidic polymerase chain reaction (PCR) device was demonstrated by detecting synthetic SARSCoV-2 at 106 copies/μL. The microfluidic device was fabricated using stereolithography 3DP and had a reaction volume of ~22 nL. The microdevice showed PCR amplification with 85 base synthetic ssDNA targets and primers designed for a SARS-CoV-2-specific region. The device was 2.5 times faster compared to a qPCR instrument with >60,000 times smaller reagent volume. The 3DP microdevice is a promising technology to significantly reduce the manufacturing costs of microfluidic devices that could be used towards point-of-care applications. © 2023 SPIE.

Pilot Study Evaluating the Trends in Utilization of Compounded Products Pre- and Post- COVID-19 Pandemic

Objectives: To assess utilization differences in compounded products before and after the COVID-19 pandemic. Secondary objectives were to understand if there were changes in patient cost sharing and types of products compounded pre- and post- pandemic. Method(s): A cross-sectional study was completed using a large national claims database for patients who received at least one COVID-related vaccine, test, or treatment from October 2015 to July 2022. Claims included in the analysis are those identified as paid, listed as compounded, and were filled in 2019, 2020, or 2021. Chi-Square and T-Tests were used to determine if there are differences between each year. Result(s): The prevalence of paid claims for compounded products was 0.00055% (14,101) in 2019, 0.00042% (11,551) in 2020, and 0.00048% (14,005) in 2021. In each year, most claims for compounded products were through commercial insurance 70% in 2019, 62% in 2020, and 65% in 2021. On average there were approximately 2 claims per patient. The most frequently compounded product was lidocaine hydrochloride 20mg/ML topical solution. In 2020 there was an increase in utilization of naltrexone hydrochloride, a treatment for opioid use disorder (OUD). Between 2019 and 2020 the number of compounded claims decreased 17.6% while the number of total claims increased by 9.01%. From 2020 to 2021 the number of claims for compounded products returned to pre-pandemic levels with a 21.24% increase. In the same period, the total number of claims increased 5.86%. The average patient cost sharing for compounded products was $42.57 (SD: $60.02) in 2019, $40.07 ($80.36) in 2020, and $42.61 ($60.02) in 2021. Conclusion(s): We found that there were fewer patients receiving compounded products following the COVID-19 pandemic. We found no change in the number of compounded claims for hydroxychloroquine and ivermectin, though in 2020, there was a notable increase in the number of claims for naltrexone hydrochloride.Copyright © 2023

Rapid and Low-Cost Detection of Human Corona Virus Using MEMS ATR-FTIR Spectroscopy

The conventional methods used for the diagnostics of viral infection are either expensive and time-consuming or not accurate enough and dependent on consumable reagents. In the presence of pandemics, a fast and reagent-free solution is needed for mass screening. Recently, the diagnosis of viral infections using infrared spectroscopy has been reported as a fast and low-cost method. In this work a fast and low-cost solution for corona viral detection using infrared spectroscopy based on a compact micro-electro-mechanical systems (MEMS) device and artificial intelligence (AI) suitable for mass deployment is presented. Among the different variants of the corona virus that can infect people, 229E is used in this study due to its low pathogeny. The MEMS ATR-FTIR device employs a 6 reflections ZnSe crystal interface working in the spectral range of 2200-7000 cm-1. The virus was propagated and maintained in a medium for long enough time then cell supernatant was collected and centrifuged. The supernatant was then transferred and titrated using plaque titration assay. Positive virus samples were prepared with a concentration of 105 PFU/mL. Positive and negative control samples were applied on the crystal surface, dried using a heating lamp and the spectrum was captured. Principal component analysis and logistic regression were used as simple AI techniques. A sensitivity of about 90 % and a specificity of about 80 % were obtained demonstrating the potential detection of the virus based on the MEMS FTIR device. © 2023 SPIE.

PLANT TESTING MAGNETIC CONDITIONING ON KENNECOTT'S Cu-Mo PORPHYRY ORE

Over it's more than 100-year history, the Kennecott operation has often been at the forefront of innovation;driven by the demands of the lower grade ore-body and the higher costs of operating in the US where wages are generally higher and regulation more restrictive. One way of reducing operating costs in c/lb is to increase the lbs produced at minimal cost. Despite the relatively coarse grind at Kennecott - about 30% >150μm, approximately 20% of the Cu lost to tail is liberated chalcopyrite in the <20μm fraction, and about 30%-40% in the <37μm fraction. In 2020 Kennecott undertook a detailed plant scale test of the magnetic aggregation technology to increase copper recovery by reducing fine copper losses. A paired statistical plant test of magnetic conditioning on one rougher line showed a 1.12% increase in Cu recovery to 97% statistical confidence. The next challenge, unforeseen at the start of the project, was the fabrication and transportation to site of the equipment for the three remaining rougher rows, during the severe supply-chain constraints of the Covid pandemic in 2021. This resulted in delays and unforeseen costs as world-wide transportation became chaotic, particularly transportation via west coast USA. Nevertheless, the project was completed and commissioned, with only minor delays and cost increases, due to a flexible approach to overcoming the hurdles encountered. Copyright © 2023 by SME.

Marginal Cost of Energy Volatility in the Brazilian Interconnected Power System

From 2018 to 2022, on average, 70% of the Brazilian effective electric generation was produced by hydropower, 10% by wind power, and 20% by thermal power plants. Over the last five years, Brazil suffered from a series of severe droughts. As a result, hydropower generation was reduced, but demand growth was also declined as results of the COVID-19 pandemic and economic recession. From 2012 to 2022, the Brazilian reservoir system operated with, on average, only 40% of the active storage, but storage recovered to normal levels in the first three months of 2022. Despite large capacity of storage reservoirs, high volatility of the marginal cost of energy was observed in recent years. In this paper, we used two optimization models, NEWAVE and HIDROTERM for our study. These two models were previously developed for mid-range planning of the operation of the Brazilian interconnected power system. We used these two models to optimize the operation and compared the results with observed operational records for the period of 2018-2022. NEWAVE is a stochastic dual dynamic programming model which aggregates the system into four subsystems and 12 equivalent reservoirs. HIDROTERM is a nonlinear programming model that considers each of the 167 individual hydropower plants of the system. The main purposes of the comparison are to assess cooperation opportunities with the use of both models and better understand the impacts of increasing uncertainties, seasonality of inflows and winds, demand forecasts, decisions about storage in reservoirs, and thermal production on energy prices. © World Environmental and Water Resources Congress 2023.All rights reserved

Newton's law of cooling with a low-cost thermoscope: physics in the time of covid-19

The necessity to teach experimental physics in the pandemic period motivated the development of practices in which students may take measurements with instruments constructed by themselves. In this article, we present an experimental practice to approach Newton's law of cooling with a thermoscope (the earliest device for detecting changes in temperature, forerunner of the thermometer) constructed with household materials. Although the use of a non-calibrated thermoscope, the instrument presented several advantages, visual appeal, ease of handling, ease of data acquisition and good reproducibility. The students can take data, plot graphs, and verify if the Newton's law of cooling holds on the tested circumstances.