scholarly journals Intra-Ramanome Correlation Analysis Unveils Metabolite Conversion Network from an Isogenic Cellular Population

2020 ◽  
Author(s):  
Yuehui He ◽  
Shi Huang ◽  
Peng Zhang ◽  
Yuetong Ji ◽  
Jian Xu
Keyword(s):  
Correlation Analysis ◽  
Temporal Dynamics ◽  
Membrane Lipids ◽  
Low Cost ◽  
Cellular Systems ◽  
Dynamic Features ◽  
Cellular Population ◽  
Metabolic Heterogeneity ◽  
Starch Conversion ◽  
Time Point

AbstractRevealing dynamic features of cellular systems, such as links among metabolic phenotypes, typically requires a time- or condition-series set of samples. Here Intra-Ramanome Correlation analysis (IRCA) was proposed to achieve this goal from just one snapshot of an isogenic population, by pairwise correlating among cells all the thousands of Raman bands from Single-cell Raman Spectra (SCRS), i.e., based on the intrinsic inter-cellular metabolic heterogeneity. IRCA of Chlamydomonas reinhardtii under nitrogen depletion revealed a metabolite conversion network at each time point and its temporal dynamics that feature protein-to-starch conversion followed by starch-to-TAG conversion (plus conversion of membrane lipids to TAG). Such correlation patterns in IRCA were abrased by knocking out the starch-biosynthesis pathway yet fully restored by genetic complementation. Extension to 64 ramanomes from microalgae, fungi and bacteria under various conditions suggests IRCA-derived metabolite conversion network as an intrinsic, reliable, species-resolved and state-sensitive metabolic signature of isogenic cellular population. The high throughput, low cost, excellent scalability and broad extendibility of IRCA suggest its broad application in cellular systems.

scholarly journals Analysis of the development of export prices of selected agricultural and food commodities in the Czech Republic

2005 ◽  
Vol 53 (3) ◽  
pp. 127-144 ◽  
Author(s):  
Milan Palát ◽  
Erich Maca
Keyword(s):  
Czech Republic ◽  
Statistical Analysis ◽  
Correlation Analysis ◽  
Reference Period ◽  
The Czech Republic ◽  
Developmental Trends ◽  
Export Prices ◽  
Food Commodities ◽  
Short Time ◽  
Time Point

The paper is focused on the description of average level, variability and developmental trends the export prices of selected agricultural and food commodities in the Czech Republic with differentiation according to particular countries within the defined reference period 1993–2002. Thre is also presented the short-time point and interval extrapolation prediction of studied events. Methods of regression and correlation analysis and developmental trends were applied for the mathematical-statistical analysis.

scholarly journals The validity and reliability of a novel mobile app to measure agility performance in the physically active youth population

2020 ◽  
Vol 45 ◽  
pp. 85-92
Author(s):  
Juan A. Escobar-Alvarez ◽  
Rocio Carrasco ◽  
Pedro R. Olivares ◽  
Sebastián Feu ◽  
Robinson Ramírez-Velez ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Confidence Interval ◽  
Standard Error ◽  
Low Cost ◽  
Intraclass Correlation ◽  
Mobile App ◽  
Validity And Reliability ◽  
Physically Active ◽  
Youth Population ◽  
Acceptable Reliability

Agility is a key component of physical fitness in adolescents. However, the measurement of this variable is usually complex, requiring high cost instruments and complex software. To test the validity and reliability of a novel iPhone app (Lap Tracker Auto-timer) to measure agility performance among adolescents. Twenty-four physically active adolescents (15.7 ± 2.3 years old) participated in two testing sessions (separated by 7 days). They performed three 4 x 10 m agility test trials measured by Photocell or the iPhone app. The correlation analysis revealed high validity (r = .92; 95% confidence interval [CI] = .88 – .95), with a standard error of the estimate of 0.56 s (p < 0.001). The coefficient of variation (CV; 0.09) and intraclass correlation coefficient (ICC; .93; 95% CI = .85 – .97) showed an acceptable reliability. This study demonstrated that the iPhone App Lap Tracker Auto-timer could be a valid, reliable and low-cost tool to evaluate agility performance in adolescents. However, more studies are required to guarantee the utility of this app.

scholarly journals Role of β-Catenin Activation Levels and Fluctuations in Controlling Cell Fate

Genes ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 176 ◽  
Author(s):  
Elisa Pedone ◽  
Lucia Marucci
Keyword(s):  
Signaling Pathway ◽  
Cell Fate ◽  
Temporal Dynamics ◽  
Cellular Systems ◽  
Future Research ◽  
Somatic Cell Reprogramming ◽  
Development In Vitro ◽  
Pluripotency Maintenance

Cells have developed numerous adaptation mechanisms to external cues by controlling signaling-pathway activity, both qualitatively and quantitatively. The Wnt/β-catenin pathway is a highly conserved signaling pathway involved in many biological processes, including cell proliferation, differentiation, somatic cell reprogramming, development, and cancer. The activity of the Wnt/β-catenin pathway and the temporal dynamics of its effector β-catenin are tightly controlled by complex regulations. The latter encompass feedback loops within the pathway (e.g., a negative feedback loop involving Axin2, a β-catenin transcriptional target) and crosstalk interactions with other signaling pathways. Here, we provide a review shedding light on the coupling between Wnt/β-catenin activation levels and fluctuations across processes and cellular systems; in particular, we focus on development, in vitro pluripotency maintenance, and cancer. Possible mechanisms originating Wnt/β-catenin dynamic behaviors and consequently driving different cellular responses are also reviewed, and new avenues for future research are suggested.

scholarly journals Dynamic Lognormal Shadowing Framework for the Performance Evaluation of Next Generation Cellular Systems

2019 ◽  
Vol 11 (5) ◽  
pp. 106
Author(s):  
Georgios A. Karagiannis ◽  
Athanasios D. Panagopoulos
Keyword(s):  
Performance Evaluation ◽  
Large Scale ◽  
Channel Model ◽  
Temporal Dynamics ◽  
Future Internet ◽  
Point Of View ◽  
Cellular Systems ◽  
Internet Applications ◽  
Spatial Correlation Structure ◽  
Lognormal Shadowing

Performance evaluation tools for wireless cellular systems are very important for the establishment and testing of future internet applications. As the complexity of wireless networks keeps growing, wireless connectivity becomes the most critical requirement in a variety of applications (considered also complex and unfavorable from propagation point of view environments and paradigms). Nowadays, with the upcoming 5G cellular networks the development of realistic and more accurate channel model frameworks has become more important since new frequency bands are used and new architectures are employed. Large scale fading known also as shadowing, refers to the variations of the received signal mainly caused by obstructions that significantly affect the available signal power at a receiver’s position. Although the variability of shadowing is considered mostly spatial for a given propagation environment, moving obstructions may significantly impact the received signal’s strength, especially in dense environments, inducing thus a temporal variability even for the fixed users. In this paper, we present the case of lognormal shadowing, a novel engineering model based on stochastic differential equations that models not only the spatial correlation structure of shadowing but also its temporal dynamics. Based on the proposed spatio-temporal shadowing field we present a computationally efficient model for the dynamics of shadowing experienced by stationary or mobile users. We also present new analytical results for the average outage duration and hand-offs based on multi-dimensional level crossings. Numerical results are also presented for the validation of the model and some important conclusions are drawn.

scholarly journals A SENSOR NETWORK BASED ON IOT AND ISTSOS TO ANALYSE THE CATCH BASIN ENVIRONMENT IN THE CONTEXT OF THE <i>AE. ALBOPICTUS</i> EXPANSION IN SWITZERLAND

2021 ◽  
Vol XLVI-4/W2-2021 ◽  
pp. 183-188
Author(s):  
D. Strigaro ◽  
M. Cannata ◽  
D. Ravasi ◽  
E. Flacio ◽  
M. Antonovic
Keyword(s):  
Sensor Network ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Low Cost ◽  
Environmental Parameters ◽  
Health Concern ◽  
Transmission Potential ◽  
Diapausing Eggs ◽  
Key Factor ◽  
The Alps

Abstract. The continuous expansion of invasive Asian tiger mosquito, Aedes albopictus, combined to its ability to transmit arboviruses (e.g. dengue, chikungunya) is raising major public health concern in Europe. In Switzerland, the mosquito is firmly established in most urban areas of the Canton of Ticino, south of the Alps, and there is a real risk that it will colonize also urban areas north of the Alps in the next years. The spatial distribution and colonization of new areas by Ae. albopictus depends on several environmental parameters, such as winter and summer temperatures, and precipitation patterns. A key factor for Ae. albopictus to establish at higher latitudes is the capability to develop cold-tolerant overwintering diapausing eggs under specific environmental conditions. Weather-driven abundance models are used to map the areas of potential distribution and to predict temporal dynamics of Ae. albopictus and the transmission potential of arboviruses. This contribution presents the designed system that integrates low-cost and on-line IoT sensors to monitor temperature, humidity and light with istSOS an OGC Sensor Observation Service server implementation with a user friendly interface and rich feature collection to easily manage this sensor network and distribute data in a standard way (www.istsos.org).

scholarly journals Temporal Dynamics in Clinical and Laboratory Manifestations During COVID-19 Progression

2020 ◽  
Author(s):  
Lin-Lin Ye ◽  
Wen-Bei Peng ◽  
Xiao-Shan Wei ◽  
Xu Wang ◽  
Zi-Hao Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Temporal Dynamics ◽  
Early Stage ◽  
White Blood Cells ◽  
Smoking History ◽  
Stable Group ◽  
Laboratory Findings ◽  
Associated Risk Factors ◽  
D Dimer ◽  
Time Point

Abstract BAckground Severe COVID-19 patients account for most of the mortality of this disease. Early detection of severe cases of the disease remains a major challenge. Here, we performed clinical and laboratory profiling of COVID-19 to explore the early warning indicators of severe cases. Methods An analysis of the evolution during the hospitalization of clinical and laboratory findings from 78 confirmed COVID-19 patients and the associated risk factors. Results Of the 78 patients who were classified as un-severe at admission, 60 patients(stable group) were stable as mild cases until discharge, and the remaining 18 patients progressed to severe cases(exacerbated group) during hospitalization. Compared with stable patients, exacerbated patients exhibited older, higher BMI values and higher proportion of smokers. In the exacerbated patients, the median time from onset to deterioration was 7.5 days. Before the time point(days 0–7 from onset), we observed higher-levels of White blood cells(WBC), neutrophil, Neutrophi-Lymphocyte-Ratio(NLR), Lactose-dehydrogenase(LDH), D-dimer, and lower-levels of albumin in the exacerbated group, compared with the stable group. In the second week after the time point, the exacerbated patients displayed lower numbers of lymphocytes, CD3+, and CD8+T-cells, and higher-levels of C-reactive protein(CRP), erythrocyte-sedimentation-rate(ESR), Alanine-aminotransferase(ALT),Aspartate-aminotransferase(AST), and Interleukin-6. In the third week, the highest temperature and the proportion of febrile patients declined. All of the laboratory indicators gradually improved. Conclusions Advanced age and smoking history could be risk factors for COVID-19 progression. In the early stage, high-levels of WBC and neutrophils, with noticeably increased LDH and D-dimer, could be early indicators of the disease’s conversion from mild to severe, followed by elevated inflammatory markers, liver enzymes, and decreased T-lymphocytes in the next week.

Monitoring intermittent streams with low-cost water-presence sensors

2020 ◽  
Author(s):  
Francesca Zanetti ◽  
Nicola Durighetto ◽  
Filippo Vingiani ◽  
Gianluca Botter
Keyword(s):  
Electrical Conductivity ◽  
Visual Inspection ◽  
Temporal Dynamics ◽  
Low Cost ◽  
Field Application ◽  
Channel Cross Section ◽  
Probe Design ◽  
Ephemeral Streams ◽  
Intermittent Streams ◽  
Catchment Scale

&lt;p&gt;The study of intermittent and ephemeral streams is gaining more and more popularity, as the scientific community has acknowledged the fundamental impact of these streams on basic hydrological processes and important ecosystem services. Nevertheless, the understanding of the physical processes that drive this intermittency has been long hampered by the limited availability of empirical data. In fact, monitoring the event-based expansion and contraction of temporary streams through visual inspection is very demanding and time-consuming. To circumvent this limitation, several low-cost sensor designs for monitoring flow presence have been suggested in recent years. These sensor exploit either water temperature or electrical conductivity. However, these sensors are typically characterized by pointwise probes that water flows can easily dodge, particularly in streams with complex and unstable morphologies. Moreover, very few studies have been conducted that use networks of probes to monitor stream intermittency at the catchment-scale.&lt;/p&gt;&lt;p&gt;Here we present a field-application of an advanced version of the low-cost water presence sensor developed by Chapin et al., 2016. In particular, we tested a new probe design to continuously measure the electrical conductivity across a channel cross-section and, thus, infer the presence of water therein. More than 50 probes were installed to monitor the dynamics of several intermittent tributaries of a small headwater catchment in northern Italy during the summer and fall of 2019. This catchment encompasses a wide variety of stream types: mild and steep slopes, incised and flat geometries, rocky and vegetated riverbeds. The field application shows that the proposed probes are able to provide useful information about the temporary activation of ephemeral streams under a variety of environments and conditions. The reconstructed temporal dynamics of the stream network comply with the persistency maps previously derived based on visual inspection. This new sensor design enables the continuous-time monitoring of the activity of intermittent streams, providing easily interpretable data under diverse conditions. We conclude that low-cost water presence sensors provide a unique opportunity to expand the coverage of the available datasets about the dynamics of intermittent streams.&lt;/p&gt;

Dynamic microvesicle release and clearance within the cardiovascular system: triggers and mechanisms

2015 ◽  
Vol 129 (11) ◽  
pp. 915-931 ◽  
Author(s):  
Lisa Ayers ◽  
Rienk Nieuwland ◽  
Malcolm Kohler ◽  
Nicolle Kraenkel ◽  
Berne Ferry ◽  
...  
Keyword(s):  
Experimental Models ◽  
Cellular Systems ◽  
Published Data ◽  
Biological Mechanisms ◽  
Dynamic Impact ◽  
Cardiac Stress ◽  
Dynamic Mechanisms ◽  
Clinical Scenarios ◽  
Single Time Point ◽  
Time Point

Interest in cell-derived microvesicles (or microparticles) within cardiovascular diagnostics and therapeutics is rapidly growing. Microvesicles are often measured in the circulation at a single time point. However, it is becoming clear that microvesicle levels both increase and decrease rapidly in response to certain stimuli such as hypoxia, acute cardiac stress, shear stress, hypertriglyceridaemia and inflammation. Consequently, the levels of circulating microvesicles will reflect the balance between dynamic mechanisms for release and clearance. The present review describes the range of triggers currently known to lead to microvesicle release from different cellular origins into the circulation. Specifically, the published data are used to summarize the dynamic impact of these triggers on the degree and rate of microvesicle release. Secondly, a summary of the current understanding of microvesicle clearance via different cellular systems, including the endothelial cell and macrophage, is presented, based on reported studies of clearance in experimental models and clinical scenarios, such as transfusion or cardiac stress. Together, this information can be used to provide insights into potential underlying biological mechanisms that might explain the increases or decreases in circulating microvesicle levels that have been reported and help to design future clinical studies.

scholarly journals Potential of a low-cost sensor network to understand the spatial and temporal dynamics of a mountain snow cover

2014 ◽  
Vol 50 (3) ◽  
pp. 2533-2550 ◽  
Author(s):  
Stefan Pohl ◽  
Jakob Garvelmann ◽  
Jens Wawerla ◽  
Markus Weiler
Keyword(s):  
Snow Cover ◽  
Sensor Network ◽  
Temporal Dynamics ◽  
Low Cost ◽  
Spatial And Temporal Dynamics

The Time Course of Intentional Binding for Late Effects

2018 ◽  
Vol 6 (1) ◽  
pp. 54-70 ◽  
Author(s):  
Miriam Ruess ◽  
Roland Thomaschke ◽  
Andrea Kiesel
Keyword(s):  
Late Effects ◽  
Time Course ◽  
Temporal Dynamics ◽  
Point Estimate ◽  
Implicit Measure ◽  
Intentional Binding ◽  
Short Delay ◽  
Delay Duration ◽  
Temporal Predictability ◽  
Time Point

Stimuli elicited by one’s own actions (i.e., effects) are perceived as temporally earlier compared to stimuli not elicited by one’s own actions. This phenomenon is referred to as intentional binding (IB), and is commonly used as an implicit measure of sense of agency. Typically, IB is investigated by employing the so-called clock paradigm, in which participants are instructed to press a key (i.e., perform an action), which is followed by a tone (i.e., an effect), while presented with a rotating clock hand. Participants are then asked to estimate the position of the clock hand at tone onset. This time point estimate is compared to a baseline estimate where the tone is presented without any preceding action. In the present study, we investigated IB for effects occurring after relatively long delay durations (500 ms, 650 ms, 800 ms), while manipulating the temporal predictability of the delay duration. We observed an increase of IB for longer delay durations, whereas the temporal predictability did not significantly influence the magnitude of IB. This extends previous findings obtained with the clock paradigm, which have shown an increase of IB for very short delay ranges (<250 ms), but a decrease for intermediate delay ranges up to delay durations of 650 ms. Our findings, thus, indicate rather complex temporal dynamics of IB that might look similar to a wave-shaped function.

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