Fluctuations In Growth Rate Research Articles

PH-Dependent Morphology of Copper (II) Oxide in Hydrothermal Process and Their Photoelectrochemical Application for Non-Enzymatic Glucose Biosensor

In this study, we investigated the influence of pH on the hydrothermal synthesis of copper (II) oxide CuO nanostructures with the aim of tuning their morphology. By varying the pH of the reaction medium, we successfully produced CuO nanostructures with three distinct morphologies including nanoparticles, nanorods, and nanosheets according to the pH levels of 4, 7, and 12, respectively. The observed variations in surface morphology are attributed to fluctuations in growth rates across different crystal facets, which are influenced by the presence of intermediate species within the reaction. This report also compared the structural and optical properties of the synthesized CuO nanostructures and explored their potential for photoelectrochemical glucose sensing. Notably, CuO nanoparticles and nanorods displayed exceptional performance with calculated limits of detection of 0.69 nM and 0.61 nM, respectively. Both of these morphologies exhibited a linear response to glucose within their corresponding concentration ranges (3–20 nM and 20–150 nM). As a result, CuO nanorods appear to be a more favorable photoelectrochemical sensing method because of the large surface area as well as the lowest solution resistance in electroimpedance analysis compared to CuO nanoparticles and nanosheets forms. These findings strongly suggest the promising application of hydrothermal-synthesized CuO nanostructures for ultrasensitive photoelectrochemical glucose biosensors.

Microstructural causes and mechanisms of crack growth rate transition and fluctuation of additively manufactured titanium alloy

Wire and arc additive manufacturing (WAAM) enables rapid near-net-shape fabrications of large-size parts and in-situ remanufacturing in many industry sectors. A comprehensive understanding of the fatigue failure mechanism of WAAM titanium alloys is a prerequisite for their widespread use in critical structural components subject to fatigue load. Here, the fatigue crack growth behavior of WAAM TA15 material is investigated. Fatigue crack growth tests are performed using compact tension specimens sampled from different locations and with different crack orientations of the WAAM TA15 block. The fatigue crack growth rate (FCGR) data exhibit two governing rates separated by a transition stress intensity factor value, ΔKn, and the degrees of fluctuation of the FCGR data in the two regimes are notably different. A piecewise log-linear model is first proposed by incorporating the Heaviside step function and ΔKn into the classical Paris’ model, allowing for the transition ΔKn to be determined by the data. The potential causes of the transition ΔKn are phenomenologically inferred via fractography and surface roughness profiling results. The critical microstructure affecting the value of ΔKn is identified by relating the crack tip cyclic plastic zone size at ΔKn to the sizes of main microstructures. The cause of different degrees of fluctuations in the two regimes separated by ΔKn is inferred by examining the microstructures within the plastic zone. The microstructural mechanisms of the local FCGR reduction and fluctuation are further identified and explained.

Large-scale motions and growth rate from forward-modelling Tully–Fisher peculiar velocities

ABSTRACT Peculiar velocities are an important probe of the mass distribution in the Universe and the growth rate of structure, directly measuring the effects of gravity on the largest scales and providing a test for theories of gravity. Comparing peculiar velocities predicted from the density field mapped by a galaxy redshift survey with peculiar velocities measured using a distance estimator such as the Tully–Fisher relation yields the growth factor for large-scale structure. We present a method for forward modelling a sample of galaxy magnitudes and velocity widths that simultaneously determines the parameters of the Tully–Fisher relation and the peculiar velocity field. We apply this to the Cosmicflows-4 Tully–Fisher data set, using the peculiar velocities predicted from the 2M++ redshift survey. After validating the method on mock surveys, we measure the product of the growth rate and mass fluctuation amplitude to be fσ8 = 0.35 ± 0.03 at an effective redshift of z = 0.017. This is consistent at 3σ with the Planck CMB prediction, even though the uncertainty does not fully account for all sources of sample variance. We find the residual bulk flow from gravitational influences outside the 2M++ survey volume to be |V| = 227 ± 11 km s−1, (l, b) = (303°, −1°) in Galactic polar coordinates and the CMB frame. Using simulations, we show that applying our methodology to the large new sample of Tully–Fisher peculiar velocities expected from the WALLABY H I survey of the southern sky can improve the constraints on the growth rate by a factor of 2–3.

Impact of Macroeconomic Variables on Stock Market Volatility in Kenya

Purpose: The aim of the study was to assess the impact of macroeconomic variables on stock market volatility in Kenya. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The impact of macroeconomic variables on stock market volatility in Kenya reveals several key findings. Firstly, studies suggest that variables such as inflation rate, exchange rate fluctuations, and interest rates significantly influence stock market volatility in the country. Specifically, an increase in inflation tends to amplify stock market volatility, while fluctuations in exchange rates contribute to increased volatility, especially in the short term. Additionally, interest rate movements affect stock market volatility, with lower interest rates generally associated with higher stock market volatility. Furthermore, factors like GDP growth rate and oil price fluctuations also exhibit varying degrees of influence on stock market volatility in Kenya. Implications to Theory, Practice and Policy: Efficient market hypothesis, behavioral Finance Theory and Asset Pricing Models may be use to anchor future studies on assessing the impact of macroeconomic variables on stock market volatility in Kenya. Investors can benefit from a deeper understanding of how macroeconomic variables impact stock market volatility by incorporating this knowledge into their risk management strategies. Policymakers should consider the implications of macroeconomic policies on stock market volatility when formulating economic strategies.

Thiamethoxam Application Improves Yield and Drought Resistance of Potatoes (Solanum tuberosum L.).

(1) Background: Potato is the most important tuber crop in the world that can contribute to food security. However, the crop has been shown to be sensitive to drought and its yields decline significantly during successive periods of stress. Drought triggers a number of responses in potato, ranging from physiological changes to fluctuations in growth rates and yields. In light of global climate change, it is important to understand the effects of thiamethoxam on potato growth and yield under drought conditions. (2) Methods: The objective was to evaluate the impact of thiamethoxam on improving drought resistance and yield of potato under drought conditions. The drought-tolerant and sensitive-genotypes Qingshu No. 9 and Atlantic were used for a two-year pot experiment. Potato seeds were coated with 70% thiamethoxam before sowing (treatment group (T)), with a control group without treatment (NT). Two experimental treatments were applied: normal irrigation (ND) and drought stress (D). (3) Results: The results showed that root length, plant yield, chlorophyll content and superoxide dismutase (SOD) activity significantly increased under both genotypes, while malondialdehyde (MDA) and proline (Pro) content were reduced under thiamethoxam under drought stress. The best indicators were obtained in the comprehensive evaluation for the T-D treatment, suggesting that the application of thiamethoxam under drought stress was more effective than normal irrigation. (4) Conclusions: Our results suggest that the application of thiamethoxam improves potato growth, thereby increasing drought tolerance and potato yield. However, thiamethoxam is a neonicotinoid pesticide, and the limitation of this study is that it did not explore the ecological effects of thiamethoxam, which need to be systematically studied in the future. Moreover, considering the potential risks of thiamethoxam to the environment, specific agronomic measures to effectively degrade thiamethoxam residue should be taken when it is applied in agricultural production.

The role of temporal reproductive isolation, trophic polymorphism and growth rate fluctuations in the diversification of Arctic charr Salvelinus alpinus (L.) in Lake Kalarskii Davatchan, Transbaikalia, Russia

The role of temporal reproductive isolation, trophic polymorphism and growth rate fluctuations in the diversification of Arctic charr Salvelinus alpinus (L.) in Lake Kalarskii Davatchan, Transbaikalia, Russia

Trends, Growth, Production Instability and Export Dynamics Analysis of Basmati Rice in India

The research examined the trends, growth rates, and instability in Basmati rice production and export in India from 2001 to 2021. Secondary time series data on these parameters were collected from diverse sources including the official websites of the Department of Agriculture and Farmer’s Welfare, Directorate General of Commercial Intelligence, the Agricultural and Processed Food Product Export Development Authority (APEDA) and Statistics (DGCI&S) and Ministry of Commerce and Industry. Various analytical tools such as Compound Annual Growth Rate (CAGR) for growth rate analysis, Coefficient of Variation (CV), Coppock Instability Index, Cuddy Della Valle Index, and Index Number for instability analysis, and R-square for linear, second-degree, and polynomial regression for trend analysis were employed which served as a metric for goodness of fit. The analysis revealed significant insights into the dynamics of Basmati rice production and export over the study period. Notable findings include fluctuations in growth rates, trends indicating periods of acceleration or deceleration, and instability factors impacting production and export. These findings contribute to a deeper understanding of the Basmati rice industry in India, informing policymakers, stakeholders,

Monetary policy in practice: do central banks respond to movements in exchange rate and credit growth?

PurposeThis study examines the importance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand. To this end, the authors construct a small open economy New Keynesian dynamic stochastic general equilibrium (DSGE) model. The model encompasses several essential characteristics, including incomplete financial markets, incomplete exchange rate pass-through, deviations from the law of one price and a banking sector. The authors consider generalized Taylor rules, in which policymakers adjust policy rates in response to output, inflation, credit growth and exchange rate fluctuations. The marginal likelihoods are then employed to investigate whether the central bank responds to fluctuations in the exchange rate and credit growth.Design/methodology/approach This study constructs a small open economy DSGE model and then estimates the model using Bayesian methods.Findings The authors demonstrate that the monetary authority does target exchange rates, whereas there is no evidence in favor of incorporating credit growth into the policy rules. These findings survive various robustness checks. Furthermore, the authors demonstrate that domestic shocks contribute significantly to domestic business cycles. Although the terms of trade shock plays a minor role in business cycles, it explains the most significant proportion of exchange rate fluctuations, followed by the country risk premium shock.Originality/value This study is the first attempt at exploring the relevance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand.

Biotic potential of Transeius montdorensis (Acari: Phytoseiidae) under technocenosis conditions

The subtropical mite species Transeius montdorensis is widely used to control thrips and other sucking pests in European countries. To develop a domestic technology for the mass rearing of T. montdorensis, its biotic potential has been evaluated under large scale production. The growth rate of T. montdorensis is 0.19±0.017, the doubling time is 4.7±0.29 days at 26–27 °C. In the tested range of mite densities (5–80 ind./ml), the growth rate tends to decrease as the density increases. This trend can be approximated by a logarithmic curve. The density 60–80 ind./ml causes not only a significant drop in the population growth rate but also the decrease in range of its fluctuations. Higher fluctuations of growth rate at lower predator densities (5–15 ind./ml) are probably due to the fact that, in some containers, the predator is unable to hold back outbreaks of its prey (the flour mite Tyrophagus entomophagus). As a result, the prey overpopulates the substrate, which causes its contamination by waste products stimulating microflora development. The growth rate in the density range of 5–15 ind./ml is lower than expected and does not differ significantly from that in the range of 20–30 ind./ml. This indicates that the prey uncontrolled growth inhibit the reproduction of T. montdorensis. The population doubling time is a reliable indicator for screening the best stock culture of T. montdorensis for its successful rearing up to density 60 ind./ml within 6–8 days, i.e., before mass growth of fungi in the substrate. The range of 20–30 ind./ml is the optimal starting density for mass rearing, and when the predator reaches a density of more than 60 ind./ml, it should be resettled or offered for sale.

Analysis of the effect of migration on reducing population growth rate fluctuations case study of Kermanshah province

Analysis of the effect of migration on reducing population growth rate fluctuations case study of Kermanshah province

The Relationship between Structural Upgrading and Economic Growth of Sports Industry Based on AD-AS Modeling

Abstract This paper determines the structural upgrading measurement indexes of the sports industry by analyzing the metrics from three perspectives: industrial structure advancement, rationalization, and coordination. With reference to the AD-AS model in economics, it introduces the positive exchange factor to improve the comprehensive supply model, utilizes the pressure factor and the negative exchange factor to improve the comprehensive supply-demand model, and obtains the improved SAD-SAS model. Based on the equilibrium relationship between aggregate supply and aggregate demand, five hypotheses regarding influence are proposed. The results show that the output growth rate fluctuation coefficient of the sports industry is 0.25-0.45, and the time, robust, and spatial elasticity economic growth volume shows a stable incremental curve with the incremental increase of time, which illustrates that the structural upgrading of the sports industry and the economic growth is a positive effect significant relationship.

Sovereign debt and post-war Ukrainian economic growth – system dynamics approach

The aim of the article is to examine the post-war national economy, notably overburdened with significant war expenditures and the effects of sovereign debt restructuring in a wartime period. The research uses system dynamics modelling methods, operates with S-shaped growth, overshoot and collapse dynamic patterns. The oscillation patterns of behaviour have been used to demonstrate the scenario options of possible external debt minimization.The dynamic hypothesis about non-linear behaviour of post-war debt trajectory has revealed the intrinsic growth rate in debt-dependent economy and the inflection point of no return to stable economic growth without radical decision of sovereign debt cancellation. The direct consequence of a negative solution for debt cancellation would be the unpredictable, even chaotic fluctuations of national economic growth rate. Baseline simulation to prove the results of research has been provided. The embedded “dependent-economy” type of macrostructure does not allow to overcome the critical debt overhang level and needs a new national model with appropriate policy to stabilize the economy. Performance of post-war debt repayment depends mostly on an innovative fund, which can be created by export abilities in the framework of post-war recovery plan. The results of the research may be applied by national authorities responsible for macroeconomic debt policy. The obtained results of the study allow us to draw a conclusion about the impossibility of developing the national economy within the framework of the existing economic structure of the developing country. The debt trap, which cannot be eliminated, does not allow to develop the national innovative economy and ensure economic growth and development.
 JEL classification: E37, F34, F35, G28, H63

Desupersaturation dynamics in solutions with applications to bovine and porcine insulin crystallization

Evolution of crystal ensembles in supersaturated solutions is studied at the initial and intermediate stages of bulk crystallization. An integro-differential model includes fluctuations in crystal growth rates, initial crystal-size distribution and arbitrary nucleation and growth kinetics of crystals. Two methods based on variables separation and saddle-point technique for constructing a complete analytical solution to this model are considered. Exact parametric solutions based on these methods are derived. Desupersaturation dynamics is in good agreement with the experimental data for bovine and porcine insulin. The method based on variables separation has a strong physical limitation on exponentially decaying initial distribution and leads to the distribution function increasing with time. The method based on saddle-point technique leads to a dome-shaped crystal-size distribution function decreasing with time and has no strong physical limitations. The latter circumstance makes this method more reasonable for describing the kinetics of bulk crystallization in solutions and melts.

Impacts of dreissenid mussel growth and activity on phytoplankton and nutrients in Lake Erie's western basin

Abstract To examine the potential impact of invasive dreissenid mussels on in situ populations of phytoplankton and nutrients in western Lake Erie, we combined mussel population estimates from a 2018 survey, results from mussel excretion, grazing, and in situ growth experiments, along with nutrient measurements on collected lake water. We calculated the proportion of the water column filtered per day, based on both clearance rates from grazing experiments and mussel biomass. In most cases the water column was filtered less than once per day. Based on mussel densities from nearby survey sites, we found that mussels could be expected to clear less than 5% of phytoplankton from the water column each day. We combined measurements of nitrogen and phosphorus excretion by mussels with survey densities and found that concentrations of nitrogen and phosphorus from excretion were much less than the ambient inorganic nitrogen and phosphorus measured throughout the season. Despite the modest potential impact that we measured, spatial variability in mussel density and temporal variability in nutrients and seston suggest that more substantial impact likely occurs in some conditions. Lastly, we used a mass balance approach to compare flows of nitrogen and phosphorus attributable to mussel assimilation, growth, and excretion. The proportion of assimilated nitrogen (0.01-0.21) and phosphorus (0.007-0.08) due to growth changed markedly throughout the season, but the excretion rate sometimes exceeded the apparent assimilation rate. These differences in growth:assimilation suggest changes in food quantity or quality, fluctuations in growth rates over time, or other physiological effects can lead to short-term imbalance in nutrient cycling by mussels, which could lead to locally important impacts on phytoplankton and algal blooms. Moreover, this work underscores the importance of mapping mussel densities at fine spatial scales and across interannual variation.

ASSESSING THE LONG-TERM EFFECTS OF GST ON CHOSEN SECTORS IN THE INDIAN ECONOMY

The Goods and Services Tax (GST) has been a transformative tax reform in India, ushering in a unified and integrated tax structure for goods and services across the nation. This paper delves into the profound and diverse impacts of GST on key sectors, including Automobile, Agriculture, Financial, Infrastructure, and Hospitality. Drawing upon a rich tapestry of literature and quantitative data analysis, the study unveils nuanced sector-specific dynamics. The agriculture sector, following GST implementation, experienced mixed growth rates but showcased remarkable increases in GDP contribution, suggesting significant growth potential. The automobile sector maintained consistent GDP contributions, while the financial sector exhibited steady growth, Although with fluctuations in growth rates. The infrastructure sector faced declining growth rates, reflecting complex interactions with GST and broader economic reforms. The hospitality sector displayed consistent growth rates and an expanding role in the economy. The studys findings underscore the importance of sector-specific responses to GST, highlighting the need for tailored adaptation strategies. Recommendations include enhanced GST awareness and training programs, specialized impact assessment tools, and simplified compliance platforms. This study contributes to a comprehensive understanding of how GST has shaped various sectors, ultimately contributing to Indias economic evolution. KEYWORDS: Goods and Services Tax (GST), Tax Reform, Indian Economy, Sector-Specific Impact, Agriculture Sector, Automobile Sector, Financial Sector, Infrastructure Sector, Hospitality Sector, GDP Contribution, Growth Rates, Capital Investment, Sectoral Resilience, Compliance, Economic Evolution.

External shocks, global value chain transmission and China's export fluctuation

Using inter-country input-output model, this paper deconstructs the fluctuation of China's export growth rate from the perspective of global value chains. The results indicate that, China's export growth rate holds a significant "transitional fluctuations" feature under the mirror statistical method. Overall, from 2007 to 2011, the contribution of global value chains embedding on the fluctuation of China's export growth rate is biggest. From Sub-industry perspective, the contribution of technology-intensive manufacturing industry on the fluctuation of China's export growth rate is extremely high, the contribution rate of primary industry is relatively low.

Generation of whole tumor cell vaccine for on-demand manipulation of immune responses against cancer under near-infrared laser irradiation

The therapeutic efficacy of whole tumor cell vaccines (TCVs) is modest, which has delayed their translation into personalized immunotherapies in the clinic. Here, we develop a TCV platform based on photothermal nanoparticle-loaded tumor cells, which can be rationally applied to diverse tumor types to achieve on-demand boost of anti-tumor immune responses for inhibiting tumor growth. During the fabrication process, mild photothermal heating by near-infrared (NIR) laser irradiation induces the nanoparticle-bearing tumor cells to express heat shock proteins as endogenous adjuvants. After a single vaccination at the back of tumor-bearing mice, non-invasive NIR laser irradiation further induces mild hyperthermia at vaccination site, which promotes the recruitment, activation, and antigen presentation by dendritic cells. Using an indicator we term fluctuation of tumor growth rate, we determine appropriate irradiation regimens (including optimized irradiation intervals and times). This TCV platform enables on-demand NIR manipulation of immune responses, and we demonstrate potent therapeutic efficacy against six murine models that mimick a range of clinical scenarios, including a model based on humanized mice and patient-derived tumor xenografts.

Direct input of monitoring data into a mechanistic ecological model as a way to identify the phytoplankton growth-rate response to temperature variations

We present an approach (knowledge-and-data-driven, KDD, modeling) that allows us to get closer to understanding the processes that affect the dynamics of plankton communities. This approach, based on the use of time series obtained as a result of ecosystem monitoring, combines the key features of both the knowledge-driven modeling (mechanistic models) and data-driven (DD) modeling. Using a KDD model, we reveal the phytoplankton growth-rate fluctuations in the ecosystem of the Naroch Lakes and determine the degree of phase synchronization between fluctuations in the phytoplankton growth rate and temperature variations. More specifically, we estimate a numerical value of the phase locking index (PLI), which allows us to assess how temperature fluctuations affect the dynamics of phytoplankton growth rates. Since, within the framework of KDD modeling, we directly include the time series obtained as a result of field measurements in the model equations, the dynamics of the phytoplankton growth rate obtained from the KDD model reflect the behavior of the lake ecosystem as a whole, and PLI can be considered as a holistic parameter.

A microstructure-sensitive analytical solution for short fatigue crack growth rate in metallic materials

Short fatigue crack growth in engineering alloys is among the most prominent challenges in mechanics of materials. Owing to its microstructural sensitivity, advanced and computationally expensive numerical methods are required to solve for crack growth rate. A novel mechanistic analytical model is presented, which adopts a stored energy density fracture criterion. Full-field implementation of the model in polycrystalline materials is achieved using a crystallographic crack-path prediction method based on a local stress intensity factor term. The model is applied to a range of Zircaloy-4 microstructures and demonstrates strong agreement with experimental rates and crack paths. Growth rate fluctuations across individual grains and substantial texture sensitivity are captured using the model. More broadly, this work demonstrates the benefits of mechanistic analytical modelling over conventional fracture mechanics and recent numerical approaches for accurate material performance predictions and design. Additionally, it offers a significant computer processing time reduction compared with state-of-the-art numerical methods.

Why is the forecast error of quarterly GDP in Japan so large? – From an international comparison of quarterly GDP forecast situation

We examined the accuracy of prediction of Canada, Japan, United Kingdom, and United States from the viewpoint of forecast errors. Compared with the forecast error of each country at the around same time, the forecast error of Japan is about 2 times larger. In case of Japan, even immediately before release of quarterly GDP, the forecast error is over 1 %, which is the same level of forecast error as 94 days before in the United States and 135 days before in Canada.Evaluating the characteristics of forecast errors, it can be pointed out that Japan's forecasts are as efficient as those of other countries, and the addition of major economic statistics is unlikely to improve forecast errors. The reason for Japan's large forecast errors is the fluctuations in the GDP growth rate. These results provide evidence that volatile GDP may make the outlook worse.Large fluctuations in Japan's quarterly GDP have already been pointed out. It is necessary to examine the factors behind the large fluctuations in the rate of change in Japan's quarterly GDP.