Multiple Changes Research Articles

Combination L-Glutamine with Gemcitabine and Nab-Paclitaxel in Treatment-Naïve Advanced Pancreatic Cancer: The Phase I GlutaPanc Study Protocol.

Advanced pancreatic cancer is underscored by progressive therapeutic resistance and a dismal 5-year survival rate of 3%. Preclinical data demonstrated glutamine supplementation, not deprivation, elicited antitumor effects against pancreatic ductal adenocarcinoma (PDAC) alone and in combination with gemcitabine in a dose-dependent manner. The GlutaPanc phase I trial is a single-arm, open-label clinical trial investigating the safety of combination L-glutamine, gemcitabine, and nab-paclitaxel in subjects (n = 16) with untreated, locally advanced unresectable or metastatic pancreatic cancer. Following a 7-day lead-in phase with L-glutamine, the dose-finding phase via Bayesian design begins with treatment cycles lasting 28 days until disease progression, intolerance, or withdrawal. The primary objective is to establish the recommended phase II dose (RP2D) of combination L-glutamine, gemcitabine, and nab-paclitaxel. Secondary objectives include safety of the combination across all dose levels and preliminary evidence of antitumor activity. Exploratory objectives include evaluating changes in plasma metabolites across multiple time points and changes in the stool microbiome pre and post L-glutamine supplementation. If this phase I clinical trial demonstrates the feasibility of L-glutamine in combination with nab-paclitaxel and gemcitabine, we would advance the development of this combination as a first-line systemic option in subjects with metastatic pancreatic cancer, a high-risk subgroup desperately in need of additional therapies.

Clustering of Health Behaviors in Canadians: A Multiple Behavior Analysis of Data from the Canadian Longitudinal Study on Aging.

Health behaviors such as physical inactivity, unhealthy eating, smoking tobacco, and alcohol use are each leading risk factors for non-communicable chronic disease. Better understanding which behaviors tend to co-occur (i.e., cluster together) and co-vary (i.e., are correlated) may provide novel opportunities to develop more comprehensive interventions to promote multiple health behavior change. However, whether co-occurrence or co-variation-based approaches are better suited for this task remains relatively unknown. To compare the utility of co-occurrence vs. co-variation-based approaches for understanding the interconnectedness between multiple health-impacting behaviors. Using baseline and follow-up data (N = 40,268) from the Canadian Longitudinal Study of Aging, we examined the co-occurrence and co-variation of health behaviors. We used cluster analysis to group individuals based on their behavioral tendencies across multiple behaviors and to examine how these clusters are associated with demographic characteristics and health indicators. We compared outputs from cluster analysis to behavioral correlations and compared regression analyses of clusters and individual behaviors predicting future health outcomes. Seven clusters were identified, with clusters differentiated by six of the seven health behaviors included in the analysis. Sociodemographic characteristics varied across several clusters. Correlations between behaviors were generally small. In regression analyses individual behaviors accounted for more variance in health outcomes than clusters. Co-occurrence-based approaches may be more suitable for identifying sub-groups for intervention targeting while co-variation approaches are more suitable for building an understanding of the relationships between health behaviors.

Deciphering host-pathogen interaction during Streptomyces spp. infestation of potato.

Potato crop, currently, is the staple food crop of about 1.3 billion global population. Potato is attaining even more admiration globally day by day owing to its public acceptability. However, potato sustainable production is distinctly challenged by multiple factors like diseases, pests and climate change etc. Among diseases, common scab is one of the prime threats to potato crop due to its soil-borne nature and versatility in phytotoxins' secretion. Common scab is caused multiple number of phytopathogenic streptomyces strains. Despite extensive research programs, researchers are still unable to identify a significant solution to this threat that is proliferating exceptional rate across the globe. To develop feasible remedies, adequate information regarding host-pathogen interaction should be available. This review possesses insights on existing pathogenic species, the evolution of novel pathogenic streptomyces spp. and phytotoxins produced by the pathogenic strains. Furthermore, which type of physiological, biochemical and genetic activities occur during pathogen's infestation of the host are also canvassed.

Transitioning to a New Space Age in the 21st Century: A Systemic-Level Approach

Since the first launch of an artificial satellite—Sputnik 1—in 1957, space activities have played a significant role as a pioneering technological sector with a high impact on the international scenario. The space system has changed rapidly in the last 30 years, as a result of an intersystemic transition from a bipolar and simplified space system in the 20th century to a new and more complex space system in the 21st century. The post-Cold War space system has undergone multiple changes in its key system parameters—actors, interactions, processes, trends, etc.—that require new scientific approaches. Currently, there is extensive literature that attempts to address these changes, but it is an atomized and fragmented approach that focuses only on particular aspects of space activities, failing to provide a holistic perspective of the systemic changes. This article is analytical and is concerned with how space activities can be empirically examined using a systemic-level approach and systems models, and how the fundaments of systems science are a valuable methodological toolkit to be applied to the field of space studies. Therefore, the main objective of this research is to apply a systems architecture model—previously developed for the author—to the study of the key characteristics of the 21st century space age. The result is a systemic-level study of the new space age in the 21st century, which identifies and describes the intersystemic transition from the Cold War (1947–1991) to the post-Cold War period (1991 to the present), showing the profound changes in the main parameters of the space system and the emergence of new space actors, interactions, processes, and megatrends in space that have a significant impact on the entire world system.

Synergistic Interaction of Dual-Polymer Networks Containing Viologens-Anchored Poly(ionic liquid)s Enabling Long-Life and Large-Area Electrochromic Organogels.

Viologens-based electrochromic (EC) devices with multiple color changes, rapid response time, and simple all-in-one architecture have aroused much attention, yet suffer from poor redox stability caused by the irreversible aggregation of free radical viologens. Herein, the semi-interpenetrating dual-polymer network (DPN) organogels are introduced to improve the cycling stability of viologens-based EC devices. The primary cross-linked poly(ionic liquid)s (PILs) covalently anchored with viologens can suppress irreversible face-to-face contact between radical viologens. The secondary poly(vinylidenefluoride-co-hexafluoropropylene) (PVDF-HFP) chains with strong polar groups of -F can not only synergistically confine the viologens by the strong electrostatic effect, but also improve the mechanical performance of the organogels. Consequently, the DPN organogels show excellent cycling stability (87.5% retention after 10000 cycles) and mechanical flexibility (strength of 3.67MPa and elongation of 280%). Three types of alkenyl viologens are designed to obtain blue, green, and magenta colors, demonstrating the universality of the DPN strategy. Large-area EC devices (20×30cm) and EC fibers based on organogels are assembled to demonstrate promising applications in green and energy-saving buildings and wearable electronics.

Comparison of serum metabolomics in women with breast Cancer Prior to Chemotherapy and at 1 year: cardiometabolic implications

ObjectiveEarly-stage breast cancer (BC) is the second most common malignancy in women, worldwide. Early-detection and treatment advances have led to 5-year survival rates of 90% for early-stage breast cancer. However, the long-term morbidity of breast cancer remains high, with a majority of survivors facing increased risk of cardiometabolic conditions as well as secondary cancers. In particular, African American women with breast cancer experience higher morbidity and mortality than other women. Metabolomics is the comprehensive study of metabolites in biological samples to elucidate the role of monosaccharides, amino acids, and their respective metabolic pathways. Although some studies have found differential metabolites in women with breast cancer compared to normal controls, there has been little study of women with breast cancer across time and the active treatment trajectory. This study examines and compares the serum metabolomic profile of women with BC, prior to initial chemotherapy and at 1 year after inception of chemotherapy.MethodsThis study examined serum metabolites through a secondary analysis of a longitudinal parent study (EPIGEN) of women diagnosed with early-stage BC. Participants were evaluated across 5 time points: prior to their receipt of chemotherapy (T1), at the time of their 4th chemotherapy treatment (T2), 6 months after the initiation of chemotherapy (T3), one year after the initiation of chemotherapy (T4) and two years after the initiation of chemotherapy (T5). This analysis focused on the metabolomic data from 70 participants from T1 to T4. Using ultra high-pressure liquid chromatography high resolution mass spectrometry (UHPLC-HRMS), we performed Friedman Rank Sum Test followed by Nemenyi post-hoc pairwise tests to identify which metabolite levels differed between time points, focusing on metabolites with a Benjamini-Hochberg false discovery rate (FDR) from the overall Friedman test < 0.05 and then specifically examined the p-values from the T1 vs. T4 pairwise comparison.ResultsThe untargeted serum metabolomics yielded a total of 2,395 metabolites identified on the basis of the accurate mass and MS/MS fragmentation, 1,264 of which were significant after Friedman’s test (FDR < 0.05). The analysis then focused on the levels of 124 metabolites from the T1 vs. T4 post-hoc comparison that had a combined FDR < 0.05 and fold change (FC) > 2.0. Metabolite set enrichment analysis (MSEA) as part of Metaboanalyst 3.0 was performed to identify pathways that were significantly altered. The known metabolites identified from the functional analysis were used to evaluate the up and down regulated pathways. The 40metabolites from the Functional Analysis were mainly attributed to amino acids (specifically lysine regulation), fatty acids (particularly unsaturated) and steroid hormone synthesis (lysophosphatidic acid).ConclusionThere were multiple significant changes in the serum metabolomic profile of women with breast cancer at one-year post inception of chemotherapy compared to pre-chemotherapy, most notably associated with lysine degradation, branched-chain amino acid synthesis, linoleic acid metabolism, tyrosine metabolism and biosynthesis of unsaturated fatty acids as the top 5 metabolic pathways. Some of these changes could be associated with metabolic perturbations that are consistent with heightened risk of cardiometabolic morbidity. Our results provide new insights into the mechanisms underlying potential heightened cardiovascular health risks in this population.

Detection of grey matter microstructural substrates of neurodegeneration in multiple sclerosis.

Multiple sclerosis features complex pathological changes in grey matter that begin early and eventually lead to diffuse atrophy. Novel approaches to image grey-matter microstructural alterations in vivo are highly sought after and would enable more sensitive monitoring of disease activity and progression. This cross-sectional study aimed to assess the sensitivity of high-gradient diffusion MRI for microstructural tissue damage in cortical and deep grey matter in people with multiple sclerosis and test the hypothesis that reduced cortical cell body density is associated with cortical and deep grey-matter volume loss. Forty-one people with multiple sclerosis (age 24-72, 14 females) and 37 age- and sex-matched healthy controls were scanned on a 3 T Connectom MRI scanner equipped with 300 mT/m gradients using a multi-shell diffusion MRI protocol. The soma and neurite density imaging model was fitted to high-gradient diffusion MRI data to obtain estimates of intra-neurite, intra-cellular and extra-cellular signal fractions and apparent soma radius. Cortical and deep grey-matter microstructural imaging metrics were compared between multiple sclerosis and healthy controls and correlated with grey-matter volume, clinical disability and cognitive outcomes. People with multiple sclerosis showed significant cortical and deep grey-matter volume loss compared with healthy controls. People with multiple sclerosis showed trends towards lower cortical intra-cellular signal fraction and significantly lower intra-cellular and higher extra-cellular signal fractions in deep grey matter, especially the thalamus and caudate, compared with healthy controls. Changes were most pronounced in progressive disease and correlated with the Expanded Disability Status Scale, but not the Symbol Digit Modalities Test. In multiple sclerosis, normalized thalamic volume was associated with thalamic microstructural imaging metrics. Whereas thalamic volume loss did not correlate with cortical volume loss, cortical microstructural imaging metrics were significantly associated with thalamic volume, and not with cortical volume. Compared with the short diffusion time (Δ = 19 ms) achievable on the Connectom scanner, at the longer diffusion time of Δ = 49 ms attainable on clinical scanners, multiple sclerosis-related changes in imaging metrics were generally less apparent with lower effect sizes in cortical and deep grey matter. Soma and neurite density imaging metrics obtained from high-gradient diffusion MRI data provide detailed grey-matter characterization beyond cortical and thalamic volumes and distinguish multiple sclerosis-related microstructural pathology from healthy controls. Cortical cell body density correlates with thalamic volume, appears sensitive to the microstructural substrate of neurodegeneration and reflects disability status in people with multiple sclerosis, becoming more pronounced as disability worsens.

Pregnancy outcomes in patients with portal cavernoma: A case series study.

Non-cirrhotic portal vein cavernoma (PVC) is a cause of portal hypertension (PH) frequently affecting women of childbearing age. Cavernous transformation of the portal vein is frequently associated with prothrombotic disorders and often entails multiple hemodynamic changes, porto-collateral shunt development and thrombopenia, all of which can affect the course of pregnancy. Our aim was to evaluate the risk of PH-related complications and pregnancy outcomes in patients with PVC. Retrospective case series study of patients with PVC undergoing pregnancy in a tertiary care hospital. Eight pregnancies fulfilled the eligibility criteria. All patients had a predisposing factor for PVC. One episode of variceal bleeding was reported at week 28. Six cesarean sections were scheduled to avoid labor while two urgent surgeries were indicated due to fetal distress and intrauterine growth restriction (IUGR). In all but one case, anticoagulation was prescribed after delivery. No hemorrhagic or thrombotic complications were reported. There were four cases of IUGR with no case of miscarriage or stillbirth. Pregnancy in patients with PVC has an overall favorable outcome albeit a higher risk of PH-derived complications, and IUGR may be expected. Hence, PVC must not be considered a contraindication for pregnancy although larger prospective studies are necessary.

Participant Preferences for the Development of a Digitally Delivered Gardening Intervention to Improve Diet, Physical Activity, and Cardiovascular Health: Cross-sectional Study.

Low dietary intake of fruits and vegetables and physical inactivity are 2 modifiable risk factors for cardiovascular disease. Fruit and vegetable gardening can provide access to fresh produce, and many gardening activities are considered moderate physical activity. This makes gardening interventions a potential strategy for cardiovascular disease risk reduction. Previously developed gardening interventions have relied on in-person delivery models, which limit scalability and reach. The purpose of this study was to ascertain participant insight on intervention components and topics of interest to inform a digitally delivered, gardening-focused, multiple health behavior change intervention. A web-based survey was delivered via Amazon Mechanical Turk (MTurk), including quantitative and open-ended questions. Eligible participants were aged ≥20 years, could read and write in English, were US residents, and had at least a 98% MTurk task approval rating. A multilevel screening process was used to identify and exclude respondents with response inattention, poor language fluency, or suspected automated web robots (bots). Participants were asked about their interest in gardening programming, their preferences for intervention delivery modalities (1-hour expert lectures, a series of brief <5-minute videos, or in-person meetings), and what information is needed to teach new gardeners. Comparisons were made between never gardeners (NG) and ever gardeners (EG) in order to examine differences in perceptions based on prior experience. Quantitative data were summarized, and differences between groups were tested using chi-square tests. Qualitative data were coded and organized into intervention functions based on the Behavior Change Wheel. A total of 465 participants were included (n=212, 45.6% NG and n=253, 54.4% EG). There was a high level of program interest overall (n=355, 76.3%), though interest was higher in EG (142/212, 67% NG; 213/253, 84.2% EG; P<.001). The majority of participants (n=282, 60.7%) preferred a series of brief <5-minute videos (136/212, 64.2% NG; 146/253, 57.7% EG; P=.16) over 1-hour lectures (29/212, 13.7% NG; 50/253, 19.8% EG; P=.08) or in-person delivery modes (47/212, 22.2% NG; 57/253, 22.5% EG; P=.93). Intervention functions identified were education and training (performing fundamental gardening and cooking activities), environmental restructuring (eg, social support), enablement (provision of tools or seeds), persuasion (offering encouragement and highlighting the benefits of gardening), and modeling (using content experts and participant testimonials). Content areas identified included the full lifecycle of gardening activities, from the fundamentals of preparing a garden site, planting and maintenance to harvesting and cooking. In a sample of potential web-based learners, participants were interested in a digitally delivered gardening program. They preferred brief videos for content delivery and suggested content topics that encompassed how to garden from planting to harvesting and cooking. The next step in this line of work is to identify target behavior change techniques and pilot test the intervention to assess participant acceptability and preliminary efficacy.

Implementation of various control methods for the efficient energy management in hybrid microgrid system

A hybrid microgrid is an energy system composed of multiple power sources such as photovoltaic panels, wind turbines, fossil-fuel generators, converters, battery storage systems, and an energy management system that guarantees stability and balance of the entire system. According to the system operation and the meteorological conditions, the microgrid can be linked to the electrical grid or work as a standalone system. The battery storage system is the key element of the microgrid and is integrated to maintain the load demand and better energy management using various controllers. In this paper, we presented an overview of energy management and control of the hybrid microgrid by proposing the implementation of the most cited control methods such as artificial neural network, fuzzy logic, sliding mode controller, and proportional integral derivative. Further, we addressed the solar power maximization using maximum power point tracking based on a developed artificial neural controller and compared it with the other controllers. Finally, implementing the proposed four controllers for the developed hybrid microgrid offers to find the best control strategy with multiple aspects and implications. Matlab/Simulink software was used to design a hybrid microgrid with two buses, AC Bus and DC Bus, to supply the power and fulfill the investigated load demands. The simulation is carried out for complicated system operation scenarios with multiple changes in system variables such as weather conditions and load demand to test the robustness of each controller. The simulation results and comparison show the performance of each control method in terms of voltage control, frequency stabilization and energy saving.

Observation and Simulation of Lightning Strikes in an Offshore Wind Turbine Cluster

AbstractBased on the detection data of the Guangdong‐Hong Kong‐Macau lightning location system from 2013 to 2022, this paper analyzes the characteristics of lightning strikes in an offshore wind turbine cluster (WTC) in Guangdong. This is the first time to quantify the lightning strikes difference between the inner and outer wind turbines (WTs) and discuss the impact mechanisms of WTCs on the characteristics of lightning strikes by the simulation results of electric potential distribution. The observation results show that the stroke density, cloud‐to‐ground (CG) flash density, and average peak current within the affected area increase by 10.1%, 11%, and 5.1%, respectively, but the lightning multiplicity changes little. The inner and outer WTs show different characteristics of lightning strikes. The stroke density, lightning multiplicity, and average peak current in the area of outer WTs increase by 21%, 4.1%, and 6.8%, respectively, while in the area of inner WTs decrease by 20.2%, 19%, and 3.9%, respectively. The CG flash density in the area of outer WTs increases by 16.1% but changes little in the area of inner WTs. The simulation results show there is a significant difference in the electric potential distribution between the inner and outer WTs: the distortion effect of the outer WTs on spatial electric potential is stronger than that of the inner WTs at a greater height, but the difference is not obvious at a lower height. Such a difference in electric potential distribution leads to different characteristics of lightning strikes between the inner and outer WTs.

Peroral esophageal myotomy for esophageal motility disorders

The concept of third space endoscopy first described in 2007, was adapted and performed in humans in 2010 by Inoue et al. in a group of patients with esophageal achalasia (EA). Since then, esophageal endoscopic myotomy (E-POEM), has been performed in more than 10,000 patients worldwide up to now. Safety and efficacy have been confirmed at early, mid and long-term evaluations, in different gastrointestinal diseases including achalasia, refractory gastroparesis, and other esophageal motility disorders (EMD). Nowadays, this treatment has shown to be not only an excellent option, but also with its excellent outcomes, the first option in certain clinical scenarios such as type III achalasia. Thus, the minimal invasive nature of POEM gives us multiple advantages compared with the classical treatments that includes pneumatic dilation (PD) and laparoscopic Heller myotomy (LHM), including not only clinical aspects but also economical. High resolution manometry (HRM) has substantially redefined the actual approach of esophageal motility disorders with the major changes in instrumental use, diagnostic algorithms, and therapeutics. The previous Chicago's classification V 3.0 clearly improved our knowledge about pathophysiology of spastic esophageal motor disorders, however, with its recent update (Chicago V 4.0), multiple changes in diagnosis and treatment are expected. In the present article, we aimed to review and analyze the most important aspects about the results of E-POEM in the management of EMD according to the view of the new Chicago's classification V 4.0.

Endogenously high Omega-3 levels lead to a less suppressive tumor microenvironment

Abstract Cellular transformation leading to cancer development involves multiple changes in the cellular pool of nutrients and macromolecules, including lipids. Tumors switch to the de novo lipid pathway and preferentially accumulate some lipids while excluding others, such as omega-3 (n-3) fatty acids and bioactive lipids derived from them, from the tumor microenvironment. These lipids, known as specialized pro-resolving lipids (SPM), may affect cancer development. Although their roles in decreased cancer risk and overall inflammation are well studied, their effects on anti-tumor immunity are still poorly understood. Here, we report the consequences of high n-3 levels on tumor growth and anti-tumor immunity. We have utilized a FAT-1 transgenic mouse model with an endogenously high n-3: n-6 ratio due to a transgenic enzyme making n-3 fatty acids and EO771 mammary tumor model. Our data show a decreased tumor growth rate in FAT-1 mice associated with increased tumor-infiltrating cells (TILs). In preliminary studies, we further discovered that CD8 and CD4 T-cells in TILs isolated from tumors growing in FAT-1 mice display a more active and proliferative phenotype. Also, the T-cells had decreased exhaustion markers such as TIM-3, LAG-3, and TIGIT in the TILs isolated from tumors growing in FAT-1 animals, and there were fewer FOXP-3 positive T-cells. Together our data suggest a less suppressive anti-tumor immune environment in FAT-1 animals. Currently, we are performing mechanistic studies to understand the role of high omega-3 in the expression and function of these exhaustion markers. We are also exploring the therapeutic benefit of checkpoint inhibitors and cancer vaccines in combination with high omega-3 fatty acids.

Building Bridges from Genome to Physiology Using Machine Learning and Drosophila Experimental Evolution.

Drosophila experimental evolution, with its well-defined selection protocols, has long supplied useful genetic material for the analysis of functional physiology. While there is a long tradition of interpreting the effects of large-effect mutants physiologically, identifying and interpreting gene-to-phenotype relationships has been challenging in the genomic era, with many labs not resolving how physiological traits are affected by multiple genes throughout the genome. Drosophila experimental evolution has demonstrated that multiple phenotypes change because of the evolution of many loci across the genome, creating the scientific challenge of sifting out differentiated but noncausal loci for individual characters. The fused lasso additive model method allows us to infer some of the differentiated loci that have relatively greater causal effects on the differentiation of specific phenotypes. The experimental material that we use in the present study comes from 50 populations that have been selected for different life histories and levels of stress resistance. Differentiation of cardiac robustness, starvation resistance, desiccation resistance, lipid content, glycogen content, water content, and body masses was assayed among 40-50 of these experimentally evolved populations. Through the fused lasso additive model, we combined physiological analyses from eight parameters with whole-body pooled-seq genomic data to identify potentially causally linked genomic regions. We have identified approximately 2,176 significantly differentiated 50-kb genomic windows among our 50 populations, with 142 of those identified genomic regions that are highly likely to have a causal effect connecting specific genome sites to specific physiological characters.

Disturbance alters transience but nutrients determine equilibria during grassland succession with multiple global change drivers.

Disturbance and environmental change may cause communities to converge on a steady state, diverge towards multiple alternative states or remain in long-term transience. Yet, empirical investigations of successional trajectories are rare, especially in systems experiencing multiple concurrent anthropogenic drivers of change. We examined succession in old field grassland communities subjected to disturbance and nitrogen fertilization using data from a long-term (22-year) experiment. Regardless of initial disturbance, after a decade communities converged on steady states largely determined by resource availability, where species turnover declined as communities approached dynamic equilibria. Species favoured by the disturbance were those that eventually came to dominate the highly fertilized plots. Furthermore, disturbance made successional pathways more direct revealing an important interaction effect between nutrients and disturbance as drivers of community change. Our results underscore the dynamical nature of grassland and old field succession, demonstrating how community properties such as diversity change through transient and equilibrium states.

Non-biased RNA-Seq Analysis of Cardiac Tissues post Acute Lung Injury

Patients suffering from acute lung injury (ALI) are at a high risk of developing cardiac arrhythmias. Our recent study demonstrated that bleomycin (Bleo)-induced ALI in rats exhibited significantly more spontaneous premature ventricular contractions (PVCs) from one to three weeks post induction. Although spontaneous PVCs disappeared at 4 weeks post ALI, PVCs were evoked again by electrical stimulation of the decentralized stellate ganglia in Bleo-exposed rats but not in normal rats. In the current study, we aimed to utilize non-biased RNA-Seq analysis to identify potential gene candidates in cardiac tissues, which may be associated with cardiac arrhythmia during the recovery from ALI. We created an ALI rat model using a single tracheal instillation of bleomycin (2.5 mg/kg), with saline as a vehicle (Veh) control. Blood troponin level was measured between Veh- and Bleo-treated rats at Week 1 (W1) post Veh/Bleo. Cardiac tissues were harvested at W4 post Veh/Bleo for RNA-seq analysis and following PCR validation. At W1 post ALI, cardiac troponin level was significantly increased in Bleo-treated rats whereas it was undetectable in Veh-treated (Control) rats. RNA-seq analysis indicated 11 downregulated (AABR07045427, Habp2, AC130862, Per2, Coch, Phactr3, Angptl7, LOC103690108, Mthfd2, Sorcs1, U6) and 13 upregulated (Calhm5, Metazoa_SRP, Tgm1, Pcare, Drd4, Selplg, AABR07027722; Rn5-8s, 5_8S_rRNA) genes in cardiac tissues at 4 weeks post ALI vs Veh. PCR validated that the gene expressions of Habp2, Coch, Phactr3, LOC103690108, Mthfd2 were significantly downregulated and the gene expressions of Pcare, Drd4 were significantly upregulated in the hearts of Bleo-treated rats at W4 post ALI. Our study demonstrated that multiple gene changes in cardiac tissues are associated with cardiac injury and arrhythmogenesis in bleomycin-induced ALI in male rats. Future studies will further determine the cause-effect relationship between these altered genes and cardiac arrhythmia post ALI. This study was supported by NIH grant R01 HL-152160 and in part, by NIH grants R01 HL126796. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Cascade aircraft flows merging with multiple order changes

Nowadays, the problem of safe aircraft flows merging is considered usually as one-stage. However, real air-route schemes assume often a tree-like structure when primary flows are merged at some points and the resultant flows are merged further. In this case, the safety of merging should be controlled not only at the final point, but also at some intermediate ones. With that, aircraft can change their order between these merge points by means of usage of holding areas and/or path alignments. In this paper, the authors suggest a mixed integer linear programming formalization of such a problem. The suggested procedure is realized as a computational program with the optimization Gurobi library. Results of numerical simulations are presented.

Hardness comparison between Co – Cr metal alloy specimens made by different methods

The aim of this study is to compare the hardness of Co–Cr metal alloy specimens made by different methods and how it is influenced by multiple temperature changes. Fifty-four samples are made by three different methods and are accordingly divided in three groups – group M (Milling), group LP (Laser Printing) and group LW (Lost Wax), with 18 samples each. All of them contain three subgroups with six samples – metal samples with no thermal cycles (subgroup 1), metal samples with one thermal cycle (subgroup 2) and metal samples with two thermal cycles (subgroup 3). Their Vickers hardness is evaluated by a weight of 1 kg applied for 20 s. The results are presented in tables. The average hardness is the highest for group LP – 509, followed by group M – 440, and for group LW it is 401. For the subgroups, the best results are exhibited by the samples of subgroup 2 – 430, followed by subgroup 3 – 457, and subgroup 1 – 450.

Monitoring the thermal behavior of polyethylene 2,5‐furandicarboxylate using Raman spectroscopy

AbstractThis study investigates the thermal behavior of polyethylene 2,5‐furandicarboxylate using Raman spectroscopy. The study finds that multiple changes in the Raman spectrum at two different heating rates of 1 and 0.5 K/min provide different information about the thermal behavior of the sample. The study also shows that the derivative of the half‐width of the band at 1737 cm−1, which characterizes the stretching of the C=O double bond of the ester group, allows us to trace back to the DSC thermogram. The crystallinity was followed with quite a good precision and using two different spectral zones around 1029 and 1737 cm−1. The calculated crystallinity rate could be compared with the crystallinity rates obtained by integrating the total heat flow by DSC and that obtained by wide angle X‐ray scattering (WAXS). As a result, this study also allows us to understand the conformational changes that take place during heating, and especially those responsible for crystallization, which is the great advantage of Raman spectroscopy compared with other standard methods.

Subsample stability, change detection and dynamics of oil and metal markets: A recursive approach

The analysis of historical price data for patterns and using such patterns for predictions and policy recommendations has become ubiquitous in the existing economics literature. These predictions and recommendations are premised on the stability of the statistical properties and inter-variable dynamics for which a single regime or few number of regimes can capture. This, however, is a strong assumption with serious repercussions if violated. In this study, the appropriateness of the stability assumption is questioned using various recursive regressions to test stability, consistency of stationarity and stability in inter-variable dynamics between crude oil, gold, silver, and platinum prices. Using monthly data sourced from the World Bank Commodity Price Data (Pink Sheet) from January 1, 1960 to March 2022, our empirical analysis found level prices of oil, gold, and platinum to be consistently non-stationary with rare exceptions. The level price of silver however is found to be inconsistent with multiple regime switches while the logged series of all variables yielded non-stationarity. The default is stationarity for all the variables when price series are logged differenced and/or differenced for oil, silver, and platinum. Differenced gold prices resulted in inconsistent stationarity with multiple regime changes. Even if rare, the stationarity of all the variables is dependent on time and sample size due to the inconsistence in the stationarity verdict. On the bi-variate relationship in the long run, only level silver prices are found to be cointegrated with oil while logged silver prices are inconsistently cointegrated with logged oil prices. Also, in the short-run, only log of oil prices is found to Granger cause log of silver prices. It is thus recommended that researchers and policy makers be tempered in extrapolating statistical findings in general and the price and inter-price dynamics of oil, gold, silver and platinum into the future.