Time-dependent Factors Research Articles

Risk factors and evolution of weight loss in Parkinson's disease: A 9-year population-based study

IntroductionWeight loss is considered a common complication of Parkinson's disease (PD), but there are few prospective longitudinal studies on weight loss in patients followed from time of PD diagnosis. We sought to determine the frequency, evolution and risk factors of weight loss in a representative incident PD cohort. MethodsIn this prospective population-based observational study, we followed 180 newly-diagnosed, initially drug-naïve PD patients and 161 controls with repetitive weight examinations over 9 years. We used Cox regression models with adjustment for potential confounders to identify independent risk factors of clinically significant (>10 %) weight loss. ResultsMean % weight change during follow-up was −3.9 (±11.2) in patients and −1.4 (±8.1) in controls (p = 0.016). Clinically significant weight loss was observed in 26.7 % of patients and 10.6 % of controls (RR 2.53; 95 % CI 1.52–4.21; p < 0.001). Age was the only independent baseline risk factor for weight loss (HR 1.06 per year; 95 % CI 1.03–1.10; p < 0.001). Additional time-dependent risk factors were presence of olfactory impairment (HR 2.42; 95 % CI 1.14–5.15; p = 0.021), presence of dyskinesias (HR 3.14; 95 % CI 1.58–6.23; p = 0.001), and cognitive impairment (HR per MMSE unit 0.90; 95 % CI 0.82–0.99; p = 0.036). Dopamine agonist use reduced the risk of weight loss during follow-up (HR 0.44; 95 % CI 0.24–0.82; p = 0.007). ConclusionThe risk of weight loss is more than doubled in the general PD population and associated with both disease-related features and drug-related complications. This suggests a multifactorial nature of weight loss in PD, which is important to consider in research and clinical practice.

Risk of death from hematological malignancies in the South Urals Population Exposed to Radiation cohort

The results of studies of long-term effects of population exposure in the South Urals in the 1950s were based for a long time on studies of the effects of exposure in the Techa River cohort and later in the East Urals Radioactive Trace cohort. After the creation of the South Urals Population Exposed to Radiation cohort, combining all persons exposed in the South Urals in the period from January 1, 1950, to December 31, 1960 the size of the cohort doubled, follow-up period reached 71 years, and the number of person-years at risk increased to 1,964,333. The average dose to red bone marrow for all cohort members was 231mGy. Regression analysis using a simple parametric excess relative risk model was performed using the EPICURE statistical package. The analysis resulted in confirmation of a statistically significant (p &lt;0.001) linear doseresponse relationship of mortality for all hemoblastoses, and leukemia. The excess relative risk and 95% confidence intervals of death at 2-year latency period from all hemoblastoses were 0.71/Gy (0.28;1.31); from all leukemias - 1.28/Gy (0.55-2.39) and from leukemias excluding chronic lymphocytic leukemia -1.52/Gy (0.64-2.94). The quadratic model also significantly described the dose dependence; (the differences between the models were not significant). Increasing the follow-up period to 71 years resulted in a slight decrease in risk estimates. The width of the confidence intervals of the risk estimates decreased by more than a factor of 3 compared to earlier studies in the Techa River cohort, which indicates a decrease in uncertainties of risk estimates. Increasing the size of the cohort made it possible to obtain significant risk values for individual population groups (by sex, age, etc.). Analysis of risk values modification did not reveal significant differences in dose dependence on the studied factors, including attained age and age at exposure. The study will be continued to investigate in more detail the influence of time-dependent factors on dose dependence, as well as to assess the risk of death from different cellular forms of leukemia.

Reviewing the Raters: A Study of Orthopedic Oncology Rating Outcomes During COVID-19.

Background During the 2020 COVID outbreak, telemedicine usage rates skyrocketed. We investigated the effect of telemedicine availability and demographic factors on orthopedic oncologist ratings and review rates. We also investigated patient-reported positive and negative experiences on www.heathgrades.com to determine which physician interaction factors were more importantly perceived by patients. Methods All orthopedic oncologists (n = 141) on www.healthgrades.com were selected for review through October 2020. Information obtained included telemedicine availability, gender, age, location of practice, review rate (number of reviews per 1000 days), mean star rating, and patient-reported positive and negative physician interactions. Mean star ratings and number of ratings were compared with respect to demographic information and telemedicine availability. Mean star ratings and review rates of orthopedic oncologists offering telemedicine were compared before and after January 01, 2020. Patients perceived positive and negative physician interaction factors were reported as a frequency of pooled positive or negative interaction factors, respectively. Results There were no significant differences in mean star rating or review rate with respect to demographic factors, telemedicine availability, or telemedicine offering orthopedic oncologists before and after January 01, 2020. There were increased positive interactions of both physician independent and dependent factors and increased negative interactions of time dependent factors. Conclusion Patients reported an increased frequency of negatively perceived wait times and rushed appointments. Telemedicine availability has been previously cited as a cost-effective means of reducing wait times. Prospective investigations are needed to determine if telemedicine can be utilized as a cost-effective means of improving patient care and satisfaction.

Continuous Biosensor Based on Particle Motion: How Does the Concentration Measurement Precision Depend on Time Scale?

Continuous biosensors measure concentration-time profiles of biomolecular substances in order to allow for comparisons of measurement data over long periods of time. To make meaningful comparisons of time-dependent data, it is essential to understand how measurement imprecision depends on the time interval between two evaluation points, as the applicable imprecision determines the significance of measured concentration differences. Here, we define a set of measurement imprecisions that relate to different sources of variation and different time scales, ranging from minutes to weeks, and study these using statistical analyses of measurement data. The methodology is exemplified for Biosensing by Particle Motion (BPM), a continuous, affinity-based sensing technology with single-particle and single-molecule resolution. The studied BPM sensor measures specific small molecules (glycoalkaloids) in an industrial food matrix (potato fruit juice). Measurements were performed over several months at two different locations, on nearly 50 sensor cartridges with in total more than 1000 fluid injections. Statistical analyses of the measured signals and concentrations show that the relative residuals are normally distributed, allowing extraction and comparisons of the proposed imprecision parameters. The results indicate that sensor noise is the most important source of variation followed by sample pretreatment. Variations caused by fluidic transport, changes of the sensor during use (drift), and variations due to different sensor cartridges and cartridge replacements appear to be small. The imprecision due to sensor noise is recorded over few-minute time scales and is attributed to stochastic fluctuations of the single-molecule measurement principle, false-positive signals in the signal processing, and nonspecific interactions. The developed methodology elucidates both time-dependent and time-independent factors in the measurement imprecision, providing essential knowledge for interpreting concentration-time profiles as well as for further development of continuous biosensing technologies.

Long-term prognostic characteristics of patients with clinical stage IA part-solid lung adenocarcinoma: a conditional survival analysis.

Despite excellent 5-year survival, there are limited data on the long-term prognostic characteristics of clinical stage IA part-solid lung adenocarcinoma. The objective was to elucidate the dynamics of prognostic characteristics through conditional survival analysis. Consecutive patients who underwent complete resection for clinical stage IA part-solid lung adenocarcinoma between 2011 and 2015 were retrospectively reviewed. Conditional survival is defined as the probability of surviving further y years, conditional on the patient has already survived x years. The conditional recurrence-free survival (CRFS) and conditional overall survival (COS) were analysed to evaluate prognosis over time, with conditional Cox regression analysis performed to identify time-dependent prognostic factors. A total of 1539 patients were included with a median follow-up duration of 98.4 months, and 80 (5.2%) patients experienced recurrence. Among them, 20 (1.3%) recurrence cases occurred after 5 years of follow-up with 100% intrathoracic recurrence. The 5-year CRFS increased from 95.8% to 97.4%, while the 5-year COS maintained stable. Multivariable Cox analysis revealed that histologic subtype was always an independent prognostic factor for CRFS even after 5 years of follow-up, while the independent prognostic value of consolidation-to-tumour ratio, visceral pleural invasion and lymph node metastasis was observed only within 5 years. Besides, age, pathologic size and lymph node metastasis maintained independent predictive value for COS during long-term follow-up, while consolidation-to-tumour ratio was predictive for COS only within 5 years of follow-up. The independent prognostic factors for clinical stage IA part-solid lung adenocarcinoma changed over time, along with gradually increasing 5-year CRFS and stable 5-year COS.

Tailored accelerometer calibration by POD for thermospheric density retrieval with GRACE and GRACE-FO

The density of the upper atmosphere can be determined by orbit and accelerometer data from low Earth orbit satellites as insitu measurements along the orbit. One main challenge therein is the estimation of physical accelerometer calibration parameters, meaning that these parameters should not absorb other effects and model deficiencies in the Precise Orbit Determination (POD) process. The accelerometers of all geodetic satellites like GRACE and GRACE-FO are affected by time dependent bias and scale factors. Therefore a calibration of the data is indispensable.A dynamic POD based physical accelerometer calibration is developed for the complete GRACE and GRACE-FO missions. We investigate different parametrization strategies and utilize different observation data, as the accurate inter-satellite ranging additionally to GPS orbit data. For the estimation parameters we distinguish between offset and scale, furthermore, cross-track and radial directions are significantly less sensitive than along-track and require a different evaluation. For the offset, constant and time dependent parameters are investigated. Furthermore, a continuous offset calibration over arc boundaries is implemented and tested. The sensitivity of the scale factor is lower, although, in contrast to the offset, it increases with higher total accelerations. This means that it needs to be estimated over longer time periods. We investigate periods between three hours and one month as well as results from Gravity Field Recovery (GFR). Monthly scale factors give valuable results, at least for x-axis and when the Solar activity is not very low. Nevertheless, we also estimate weighted constant scale factors from the monthly results and use these in a subsequent POD, giving more realistic offset results for most periods and cross-track and radial directions.From the used background models in the POD, Earth’s gravitational model has a noticeable influence on the estimated calibration parameters, especially the scale factors. We utilized several different models. Results with monthly ITSG solutions are distinctly better than the ones with the time dependent GOCO06s model.We show that the validation with usual metrics, like post-fit POD residuals, is not able to reflect the quality of the different estimated calibration parameters. For a quantitative validation we introduce an approach based on the modeled non-gravitational accelerations. Therefore, the uncertainty of the models is evaluated first. The influence of main error sources in the models is assessed and propagated to the results.We compare our scale parameters to available references and the complete calibration to TU Delft’s latest results. Finally we show the effect of different calibration options on the retrieved density.The estimated calibration parameters and non-gravitational accelerations for the whole GRACE and GRACE-FO missions are available on our data server www.zarm.uni-bremen.de/zarm_daten.

Human exposure to uranium through drinking water and its detrimental impact on the human body organs.

Human exposure to high concentrations of uranium is a major concern due to the risk of developing numerous internal organ malignancies over time. In addition to the numerous attributes of uranium in the nuclear power industry, the radiological characteristics and chemical toxicity of uranium present a substantial risk to human health. This study aims to evaluate potential negative health impacts associated with the ingestion of uranium through drinking water in the Noida and Greater Noida region within the Gautam Buddha districts of Uttar Pradesh (India), due to extreme industrial revolution in this geological location. The mean concentration of uranium in drinking water of the examined area was estimated to range from 0.23 to 78.21µgl-1. The hair compartment biokinetic model is used to estimate the retention and radiological doses of uranium in distinct organs and tissues. Studies on time-dependent factors revealed variations in uranium retention, with lower levels observed in the Gastrointestinal Tract (GIT) region and higher levels on cortical bone surfaces causes the skeletal deformities. The kidney, liver, and other soft tissues (OST) exhibited a non-saturation pattern in the retention of uranium via exposure of drinking water. The age-wise non-carcinogenic and carcinogenic doses were estimated for the health hazards studies. The outcome of this study will be useful for water resource management authorities to supply safe potable water to the local residents.

Valencene ameliorates ox-LDL induced foam cell formation by suppressing inflammation and modulating key proteins involved in the atherogenesis on THP-1 derived macrophages

Atherosclerosis is a distinct risk factor for cardiovascular and cerebrovascular disorders, which are significant contributors to global mortality. It is defined by macrophage-derived foam cell development followed by persistent inflammation, plaque formation, fibrosis and thrombosis. Studies have shown valencene, a sesquiterpene obtained from Valencia oranges, has several health-promoting properties. However, its protective effect against atherosclerosis and foam cell models remains unexplored. The present investigation revealed that valencene treatment suppresses foam cell generation and accumulation of lipids in THP-1-derived cells macrophage models activated with oxidized low-density lipoprotein (ox-LDL), maintained in vitro. The intracellular lipid content was qualitatively and semi-quantitatively analyzed by Oil Red O staining, and the compound's cytotoxicity was assessed through the MTT assay, considering both time-dependent and dose-dependent factors. The RT-qPCR results showed promising anti-inflammatory and anti-oxidant enzyme status upon valencene treatment. The H2DCFDA staining revealed valencene's ability to reduce the oxidative stress induced by ox-LDL. Further, high-throughput proteomic profiling was carried out to identify the target proteins affected by valencene treatment and thereby explore its mechanism of action on foam cell models. Proteomic studies revealed that valencene treatment regulates the expression of several proteins associated with ox-LDL-induced inflammation, defective cholesterol homeostasis and cholesterol efflux pathways.

Residual feature decomposition and multi-task learning-based variation-invariant face recognition

AbstractFacial identity is subject to two primary natural variations: time-dependent (TD) factors such as age, and time-independent (TID) factors including sex and race. This study aims to address a broader problem known as variation-invariant face recognition (VIFR) by exploring the question: “How can identity preservation be maximized in the presence of TD and TID variations?" While existing state-of-the-art (SOTA) methods focus on either age-invariant or race and sex-invariant FR, our approach introduces the first novel deep learning architecture utilizing multi-task learning to tackle VIFR, termed “multi-task learning-based variation-invariant face recognition (MTLVIFR)." We redefine FR by incorporating both TD and TID, decomposing faces into age (TD) and residual features (TID: sex, race, and identity). MTLVIFR outperforms existing methods by 2% in LFW and CALFW benchmarks, 1% in CALFW, and 5% in AgeDB (20 years of protocol) in terms of face verification score. Moreover, it achieves higher face identification scores compared to all SOTA methods. Open source code.

Factors Associated With the Initiation of Comfort-Focused Nutrition Care Orders for Long-Term Care Residents at End of Life.

Comfort-focused nutrition orders are recommended to manage eating changes among long-term care (LTC) residents nearing the end of life, though little is known about their current use. This investigation aims to describe current practices and identify resident-level and time-dependent factors associated with comfort-focused nutrition orders in this context. Data were retrospectively extracted from resident charts of decedents (≥65 years at death, admitted ≥6 months) in 18 LTC homes from two sampling frames across southern Ontario, Canada. Observations occurred at 6 months (baseline), 3 months, 1 month and 2 weeks prior to death. Extracted data included functional measures (e.g. cognitive performance, health instability) at baseline, formalised restorative and comfort-focused nutrition care interventions at each timepoint and eating changes reported in the progress notes in 2 weeks following each timepoint. Logistic regression and time-varying logistic regression models determined resident-level (e.g. functional characteristics) and time-dependent factors (e.g. eating changes) associated with receiving a comfort-focused nutrition order. Less than one-third (30.5%; n = 50) of 164 participants (61.0% female; mean age = 88.3 ± 7.5 years) received a comfort-focused nutrition order, whereas most (99%) received at least one restorative nutrition intervention to support oral food intake. Discontinuation of nutrition interventions was rare (8.5%). Comfort orders were more likely with health instability (OR [95% CI] = 4.35 [1.49, 13.76]), within 2 weeks of death (OR = 5.50 [1.70, 17.11]), when an end-of-life conversation had occurred since the previous timepoint (OR = 5.66 [2.83, 11.33]), with discontinued nutrition interventions (OR = 6.31 [1.75, 22.72]), with co-occurrence of other care plan modifications (OR = 1.48 [1.10, 1.98]) and with a greater number of eating changes (OR = 1.19 [1.02, 1.38]), especially dysphagia (OR = 2.59 [1.09, 6.17]), at the preceding timepoint. Comfort-focused nutrition orders were initiated for less than one-third of decedents and most often in the end stages of life, possibly representing missed opportunities to support the quality of life for this vulnerable population. An increase in eating changes, including new dysphagia, may signal a need for proactive end-of-life conversations involving comfort nutrition care options. Early and open conversations with residents and family about potential eating changes and comfort-focused nutrition care options should be encouraged and planned for among geriatric nursing teams working in LTC. These conversations may be beneficial even as early as resident admission to the home.

Quantitative risk assessment of coal mine gas explosion based on a Bayesian network and computational fluid dynamics

A gas explosion is one of the most serious coal mine accidents. The complexity and dynamics of gas explosion accidents, resulting from both multiple risk factors and time-dependent physical parameters, necessitates the use of risk assessment techniques to analyze the accident. A quantitative risk assessment method is proposed for coal mine gas explosions based on a Bayesian Network (BN) and Computational Fluid Dynamics (CFD). The results show that, in addition to the problems of “low vigilance” and “substandard safety education”, the “irrational design of mine gas extraction” has become another major risk factor at the new stage of development of mine excavation technology. Three typical gas explosion areas are selected to analyze the possible consequences of an accident. Based on the probabilistic risk assessment model, time-dependent physical parameters such as accident conditions, location and time are analyzed. The probability of occurrence of time-dependent risk factors is quantified to calculate the risk values of the consequences of explosion accidents corresponding to different times. The proposed method helps to improve the calculation accuracy of updating the risk probability value over time and provides theoretical support for the risk analysis of coal mine gas explosion accidents.

Incidence of Malignancies and the Association with Biological Disease-Modifying Antirheumatic Drugs in Japanese Patients with Rheumatoid Arthritis: A Time-Dependent Analysis from the IORRA Patient Registry.

Patients with rheumatoid arthritis (RA) may have an increased malignancy risk versus the general population, potentially elevated by biological disease-modifying antirheumatic drug (bDMARD) use. Using patient registry data, we determined malignancy risk, stratified by bDMARD use, among Japanese patients with RA versus the Japanese general population and investigated whether bDMARD use is a time-dependent risk factor for the development of malignancy. Patients aged ≥ 18years with ≥ 2 data entries of RA in the IORRA (Institute of Rheumatology, Rheumatoid Arthritis) patient registry, enrolled from January 2013-December 2018, were identified ('All RA' cohort). Patients were stratified into bDMARD (≥ 1bDMARD received) or non-bDMARD (no history of bDMARDs) sub-cohorts. Malignancy incidence rates and standardized incidence ratios (SIRs) with 95% confidence intervals (CIs) versus the Japanese general population were calculated. Risk of RA medication use was analyzed using a time-dependent Cox proportional hazards model, after adjusting for covariates. A total of 8020 patients were identified for the All RA cohort; 2187 and 5833 for the bDMARD and non-bDMARD sub-cohorts, respectively. For all three cohorts, incidence of overall malignancies was similar versus the Japanese general population. Incidence of specific malignancies was also similar, but incidence of lymphoma was higher for all three cohorts (SIRs[95% CIs] 3.72 [2.71-4.93], 5.97 [3.34-9.59], and 2.79 [1.82-4.02], respectively). In the bDMARD sub-cohort, no increase in SIRs was observed for other site-specific malignancies. Inthe All RA cohort, use of methotrexate, tacrolimus, glucocorticoids, non-steroidal anti-inflammatory drugs, and bDMARDs were not associated with the risk of overall malignancy; the hazard ratio (95% CI) was 1.36(0.96-1.93) for bDMARD use. Increased disease activity was a time-dependent risk factor of overall malignancy with a hazard ratio (95% CI) of 1.35 (1.15-1.59). The use of bDMARDs was not a time-dependent risk factor for malignancy.

Evaluation of Research Productivity among Academic Glaucoma Specialists Using the Relative Citation Ratio

PurposeTo provide relative citation ratio (RCR) benchmark data for the field of glaucoma. DesignCross-sectional bibliometric analysis. SubjectsFellowship-trained glaucoma faculty at ACGME-accredited institutions. MethodsGlaucoma faculty were individually indexed using the NIH iCite website. Publication count, mean RCR score, and weighted RCR score were collected for each author between May and August 2023 and included PubMed-listed articles from 1980 to 2023. Data were compared by gender, career duration, academic rank, and acquisition of a Doctor of Philosophy (PhD). Main Outcome MeasuresTotal number of publications, mean RCR value, weighted RCR value. Results526 academic glaucoma specialists from 113 institutions were indexed. These physicians produced highly impactful research with a median publication count of 13 (IQR 4-38), median RCR of 1.41 (IQR 0.97-1.98), and median weighted RCR of 16.89 (4.80-63.39). Academic rank, career duration, and having a PhD were associated with increased publication count, mean RCR, and weighted RCR. Publication count and weighted RCR differed significantly by gender, however, no difference was observed with mean RCR. ConclusionsCurrent academic glaucoma specialists have high mean RCR values relative to the NIH standard RCR value of 1. This benchmark data serves as a more accurate gauge of research impact within the glaucoma community and can be used to inform self, institutional, and departmental evaluations. Additionally, the mean RCR may provide an accurate metric for quantifying research productivity among historically underrepresented groups that are disadvantaged by time-dependent factors such as number of publications.

Time distribution of stimulated transition probabilities

In recent years, an increasing number of experimental results have been published for a wide variety of systems in which high-precision, ultra-fast, and ultra-short laser pulses techniques have been used to study time-resolved dynamical processes. In the absence of a theoretical prediction of the time distribution of the transition probabilities, the lifetimes τ are generally extracted by fitting the decay time with an exponential, bi-exponential or three-exponential function. In fitting the data, the short-time behavior is generally neglected. The purpose of this study is to show that an explicit formula for the time distribution of the transition probability can be determined rigorously using time-dependent perturbation theory. A formula that perfectly fits an important subset of the experimental results from t = 0 to t=∞ . We show that by following a route different from the usual procedure for deriving transition amplitudes and Einstein coefficients in time-dependent perturbation theory, one ends up with a time-dependent factor, that is, a temporal distribution function of the transition probabilities, and for the Einstein coefficients. The time distribution reported here looks in the time domain similar to the Planck distribution in the frequency domain. In fact, the behavior of the time distribution, with a maximum at 2τln⁡2 , and with τ playing the role of temperature, resembles the behavior of the Planck frequency distribution. We present several examples to demonstrate that the theoretical formula allows for easier fitting of the experimental results reported in the literature. We also show that the time distribution explains the difference in resonance heights between the experimental and theoretical blue laser spectra.

Predictive Partly Conditional Models for Longitudinal Ordinal Outcomes with Application to Alzheimer’s Disease Progression

AbstractAssessing time-dependent risk factors in relation to the risk of disease progression is challenging, yet important, especially for chronic diseases with slow progression. In this paper, the partly conditional model is extended for characterizing disease progression at time t with longitudinal ordinal outcomes in the presence of time-dependent covariates at time s$$(s &lt; t)$$ ( s &lt; t ) and time-dependent effects. Advantages of the method include direct modeling of disease progression, use of longitudinal risk factors, and flexibility in target period of progression $$u = t - s$$ u = t - s . A generalized estimating equation approach is adopted for parameter estimation, and a new regularity condition requiring a fixed prediction time window $$u_0$$ u 0 is established to consistently estimate the covariance of the estimated parameters. Extensive simulation studies are conducted to assess the properties of the proposed model alongside with an explicit demonstration of the implementation using existing statistical software. The proposed method is applied to a longitudinal Alzheimer’s disease dataset from the National Alzheimer’s Coordinating Center to assess effect of time-dependent cognitive complaint on Alzheimer’s Disease progression.

Abstract PO3-06-04: Clinical Features and Survival Outcomes of Oligometastatic Breast Cancer Patients: The Mayo Clinic Experience

Abstract Background The current definition, prognosis, and optimal treatment (tx) for oligometastatic breast cancer (OMBC) are not fully known. With advances in multimodality breast cancer (BC) tx and overall improvement in patient (pt) outcomes, it is important to identify baseline pt factors that confer better prognosis in OMBC and assess the impact of local/regional tx and metastasis (mets)-directed tx on survival outcomes. Methods We reviewed 105 Mayo Clinic pts with OMBC (up to 5 mets) from 2003 to 2021. Pts were excluded from analysis if they were misidentified as having OMBC (n=6), did not have a primary breast mass (n=1), developed de novo BC during tx (n=1), or were lost to follow up (n=2). Categorical variables were summarized as counts. Continuous variables were reported as medians. Kaplan-Meier method was used to estimate survival and the time from diagnosis to next tx at 1, 3, and 5 years. Log-rank test was used to compare survival rates between baseline factors. Univariate Cox proportional hazards models were performed on both baseline and time-dependent factors. All tests were two-sided with p-value &amp;lt; 0.05 considered statistically significant. Results Total pts included were 95. Median age was 49 (range, 26-86), most (93.6%) pts were White, and 46.8% were postmenopausal. Invasive ductal carcinoma (89.5%) was the most common BC type. Median survival was 10.8 years; 1-, 3-, and 5-year survival rates were 98.9%, 87.7%, and 81%, respectively. 58 pts (61.1%) required a change in tx due to disease progression. No significant survival difference was observed in pre- vs. postmenopausal pts (p=0.71) or in groups based on hormone receptor and/or human epidermal growth factor receptor 2 status. 47 pts (49.5%) received local/regional tx; no significant difference in survival (HR 0.57, 95% CI 0.23-1.40; p=0.217) or time to next tx (HR 0.67, 95% CI 0.39-1.15; p=0.144) was seen in this subgroup. Of these pts, 36 (76.6%) received neoadjuvant chemotherapy and/or immunotherapy, 5 of whom (10.6%) also started endocrine tx preoperatively. Overall, 11/47 pts (23.4%) received neoadjuvant endocrine tx. 20 pts received systemic tx without eventual surgery, and 5 pts got palliative radiation (RT). Biopsy-confirmed mets were noted in 76 pts (80%), with bone-only mets in 50%, 30 pts (31.6%) with viscera-only mets and 7 pts (7.4%) with both bone and visceral mets. 18 pts had suspected mets on imaging but did not undergo biopsy. The hazard of death was 6.34 times higher in pts with both bone and visceral mets than those with bone-only mets (p=0.008). Pts with viscera-only mets had higher survival at 2 and 3 years than pts with bone-only or both bone and visceral mets (p=0.093). Pts with 3 mets (7/76, 7.4%) had decreased survival at 1, 2, and 3 years compared to pts with 1-2 (65/76, 85.5%) mets (p=0.6). 67 pts (70.5%) received mets-directed tx; RT alone was the most common modality (52/67, 77.6%), followed by surgery (6/67, 9%), RT plus surgery (5/67, 7.5%), and ablation alone (3/67, 4.5%). There was no significant difference in survival (HR 1.27, 95% CI (0.53, 3.07), p=0.589) or time to next tx (HR 0.95, 95% CI (0.56, 1.63), p=0.856) in pts who received mets-directed tx. Multivariate analysis was not performed because most findings were not statistically significant in univariate analysis. Conclusions We did not find any significant differences in survival based on characteristics like menopausal status or site or number of mets in pts with OMBC. There was a trend toward improved survival in pts with viscera-only mets, but this finding requires validation. Local/regional and mets-directed tx did not improve survival; however, survival at 1, 3, and 5 years was excellent in this OMBC pt population. Our study was limited by low pt numbers and heterogeneity in the pt population. Findings need validation in larger studies. Citation Format: Tanmayi Pai, Raza Zarrar, Zhongwei Peng, Zhuo Li, Lauren Cornell, Kostandinos Sideras, Rohit Rao, Alvaro Moreno-Aspitia, Saranya Chumsri, Sarah McLaughlin, James Jakub, Emmanuel gabriel, Sanjay Bagaria, Laura Vallow, Santo Maimone, Pooja Advani. Clinical Features and Survival Outcomes of Oligometastatic Breast Cancer Patients: The Mayo Clinic Experience [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-06-04.

A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem

We design a hybrid algorithm for the multi-trip time-dependent vehicle routing problem (MT-TD-VRP). One of its components is the Time-Dependent SPlit Algorithm (TD-SPA), which is a dynamic programming-based algorithm specifically designed to handle both the multi-trip per vehicle and the time-dependent aspects of the problem. The hybrid algorithm combines the proposed TD-SPA, designed to efficiently split a giant tour into complete vehicle routes, with a genetic algorithm for generating these tours. We introduce a monotone queue optimization (MQO) technique to accelerate the TD-SPA. The effectiveness of MQO is evaluated by comparing computation times between the original split algorithm for the capacitated vehicle routing problem (CVRP) and its MQO-enhanced counterpart. Extensive numerical experiments with a real-world dataset from a Singapore food and beverage company are conducted to assess our algorithm’s performance on various MT-TD-VRP instances. The results indicate that our algorithm surpasses the performance of the commercial solver Gurobi, with an average improvement of 25.13% on the best solutions found within a prescribed duration. Our numerical simulations further reveal the algorithm’s ability to efficiently solve both the capacitated vehicle routing problem (CVRP) and the multi-trip vehicle routing problem (MTVRP), consistently producing competitive solutions. Moreover, to highlight the importance of incorporating the time-dependent (TD) factor into our model and algorithm, we demonstrate a notable enhancement in performance–averaging at 7.47% for the best solutions under TD conditions for an MTVRP dataset.

Time-dependent synchronization factor of crowd rhythmic motion and its application on intelligent structural monitoring

The synchronization factor is an index to evaluate the level of consistency for crowd motion under rhythmic guidance, which is important for crowd load modeling as well as structural vibration monitoring. Most of the existing synchronization factors were defined based on the time history of the crowd movement over a long period of time, failing to consider the time-dependent characteristics of intra-subject variability. Moreover, these factors were generally based on the data that can only be measured under laboratory conditions, making them difficult to be applied on the monitoring of structures subjected to crowd excitation in real engineering practice. In this regard, this paper proposed a novel time-dependent synchronization factor for a crowd in rhythmic motion. By using multiple object tracking technology, the head movements of each person in the crowd were measured as the basis for calculating the newly proposed time-dependent synchronization factor, which is defined as the ratio between a representative value of the crowd movement time history and the average of the same values for each person in the crowd. A series of experiments were organized to study the characteristics and the applicability of the synchronization factor, whose relation with structural responses was clearly observed in the laboratory experiments as well as in a real structure. The results demonstrated that the newly proposed time-dependent synchronization factor is effective when applied on the intelligent operation and maintenance of the engineering structures.

Horizon, homogeneity and flatness problems: do their resolutions really depend upon inflation?

AbstractThe horizon problem, encountered in cosmology, is derived as such for world models based on Robertson–Walker metric where homogeneity and isotropy of the universe is assumed to begin with and is guaranteed for all epochs. Actually, the only thing that happens in this scenario is that in such a universe, described by a single, time-dependent scale factor, which may otherwise be independent of spatial coordinates, the light signals in a finite time might not cover all the available space. Further, the flatness problem, as it is posed, is not even falsifiable. The usual argument offered in the literature is that the present density of the universe is very close to the critical density value and that the universe must be flat since otherwise in past at $$\sim 10^{-35}$$ ∼ 10 - 35 second (near the epoch of inflation) there will be extremely low departures of density from the critical density value (of the order $$\sim 10^{-53}$$ ∼ 10 - 53 ), requiring a sort of fine tuning. We show that even if the present value of the density parameter were very different, still at $$10^{-35}$$ 10 - 35 second it would differ from unity by the same fraction. Thus a use of fine tuning argument to promote $$k = 0$$ k = 0 model amounts to a priori rejection of all models with $$k \ne 0$$ k ≠ 0 . Without casting any aspersions on the inflationary theory, which after all is the most promising paradigm to explain the pattern of anisotropies observed in the cosmic microwave background, we argue that one cannot use homogeneity and flatness in support of inflation.

Oxygen Storage Incorporated Into Net Power and the Allam–Fetvedt Oxy-Fuel sCO2 Power Cycle—Techno-Economic Analysis

Abstract With the planned future reliance on variable renewable energy, the ability to store energy for prolonged time periods will be required to reduce the disruption of market fluctuations. This paper presents a method to analyze a hybrid liquid-oxygen (LOx) storage/direct-fired supercritical carbon dioxide (sCO2) power cycle and optimize the economic performance over a diverse range of scenarios. The system utilizes a modified version of the NET Power process to produce energy when energy demand exceeds the supply while displacing much of the cost of the air separation unit (ASU) energy requirements through cryogenic storage of oxygen. The model uses marginal cost of energy data to determine the optimal times to charge and discharge the system over a given scenario. The model then applies ramp rates and other time-dependent factors to generate an economic model for the system without storage considerations. The size of the storage system is then applied to create a realistic model of the plant operation. From the real plant operation model, the amount of energy charged and discharged, the capital expenditures (CAPEX) of each system, energy costs and revenue and other parameters can be calculated. The economic parameters are then combined to calculate the net present value (NPV) of the system for the given scenario. The model was then run through the SMPSO genetic algorithm in Python for a variety of geographic regions and large-scale scenarios (high solar penetration) to maximize the NPV based on multiple parameters for each subsystem. The LOx storage requirements will also be discussed.