Relative Rate Research Articles

Lineage-based scaling of germline intercellular bridges during oogenesis.

Using the fruit fly egg chamber as a model, this study demonstrates that the size and scaling of germline intercellular bridges vary based on lineage.

Universalism versus residualism: a micro-simulation of alternative income maintenance schemes in South Korea

This article examines the past, present and future of income maintenance schemes in Korea. Historically, income security schemes have been built on the idea of work-centred social insurance supplemented by social assistance. This approach was based on the premise of full employment. While current schemes have achieved institutional completeness and have contributed to alleviating poverty and inequality, they have exhibited limitations in responding to the qualitative shifts of capitalism, leading to welfare blind spots. Various alternatives have been proposed, such as universal basic income (UBI), which aims for equality, and residual Safety Income (SI), which aims for efficiency. The objective of this study is to validate the effects of basic income proposals and SI as alternative income maintenance schemes emerging in Korea. We simulated and compared the poverty alleviation and income redistribution effects of the two alternatives using data from the Survey of Household Finances and Living Conditions (2019~2021). The effects of poverty alleviation and income distribution were determined by analysing the hypothetical changes in absolute and relative poverty rates, as well as the Gini coefficient. The efficiency of benefits was assessed as the ratio of the amount used to reduce the poverty gap out of the total benefit amount. The study found that while SI appeared cost-effective in addressing absolute poverty, UBI was also effective in addressing relative poverty and income inequality.

Sufficient Conditions for Central Limit Theorems and Confidence Intervals for Randomized Quasi-Monte Carlo Methods

Randomized quasi-Monte Carlo methods have been introduced with the main purpose of yielding a computable measure of error for quasi-Monte Carlo approximations through the implicit application of a central limit theorem over independent randomizations. But to increase precision for a given computational budget, the number of independent randomizations is usually set to a small value so that a large number of points are used from each randomized low-discrepancy sequence to benefit from the fast convergence rate of quasi-Monte Carlo. While a central limit theorem has been previously established for a specific but computationally expensive type of randomization, it is also known in general that fixing the number of randomizations and increasing the length of the sequence used for quasi-Monte Carlo can lead to a non-Gaussian limiting distribution. This paper presents sufficient conditions on the relative growth rates of the number of randomizations and the quasi-Monte Carlo sequence length to ensure a central limit theorem and also an asymptotically valid confidence interval. We obtain several results based on the Lindeberg condition for triangular arrays and expressed in terms of the regularity of the integrand and the convergence speed of the quasi-Monte Carlo method. We also analyze the resulting estimator’s convergence rate.

Deep Learning Models and Fusion Classification Technique for Accurate Diagnosis of Retinopathy of Prematurity in Preterm Newborn

اعتلال الشبكية الخداجي (ROP) هو السبب الأكثر شيوعًا لعمى الأطفال الذي لا رجعة فيه، ويعتمد تشخيصه وعلاجه على الدرجات الذاتية بناءً على سمات الأوعية الدموية في شبكية العين. ومع ذلك، فإن هذه الطريقة شاقة وعرضة للخطأ، لذا فإن الأساليب الآلية مرغوبة لمزيد من الدقة والإنتاجية. تهدف هذه الدراسة إلى تطوير نهج قائم على التعلم العميق للتشخيص الدقيق لمرض اعتلال الشبكية الخداجي الزائد عند الأطفال الخدج باستخدام نماذج التعلم التحويلية وتقنية تصنيف الاندماج. زودنا مركز الأمل للعيون في العيادة الخاصة في بغداد، العراق، بـ 2776 صورة لقاعدة فحص مرضى اعتلال الشبكية الخداجي بين عامي 2015 و2020، واستخدمنا هذه الصور لتدريب ثلاثة نماذج للشبكات العصبية التلافيفية العميقة (ResNet50 وDensenet161 وEfficientNetB5). تم استخدام نهج مصنف الاندماج لدمج النماذج الثلاثة من أجل تشخيص شامل ودقيق. تتميز النماذج الثلاثة بمعدلات دقة نسبية تبلغ 69.78٪ و80.57٪ و81.29٪ في تصنيفاتها الخاصة. ومع ذلك، زادت الدقة الإجمالية إلى 90.28 في المائة عند استخدام مصنف الاندماج. هذا يدل على أن الطريقة المقترحة مفيدة لتحديد اعتلال الشبكية الخداجي عند الخدج. تشير نتائج الدراسة إلى أن الطريقة المقترحة لديها القدرة على تعزيز الدقة والسرعة التي يتم بها تشخيص اعتلال الشبكية الخداجي بشكل كبير، مما قد يؤدي بدوره إلى الكشف المبكر عن المرض وعلاجه وتقليل احتمالية الإصابة بعمى الأطفال.

Analysis of Research Publications on Pharmacogenomics of Sulphonylurea - A Scientometric Study.

This study analysed pharmacogenomics studies on sulfonylurea research publications using the Pubmed and Scopus databases. In the end, 65 publications from the years 2015 to 2021 were noticed. The objective of this study was to analyse these studies using scientometric tools, such as frequency counts, percentages, relative growth rates, doubling times, and collectively. A maximum of 19 (29.23%) research publications were contributed during the 2020 research period. The relative growth rate tends to decrease from 2015 to 2020 and the doubling time tends to increase and decrease after 2020. Up to 2 (3.08%) research publications were contributed by Ewan R. Pearson and Chen each. The top authors have an average degree of collaboration of 0.90 and 41 (63.83%) of their research publications are articles. The United States is the major contributor with 19 (29.23%) pharmacogenomics research publications on sulfonylureas. Although the United States is the most prolific country in sulfonylurea pharmacogenomics research, there are few Indian institutions that are not listed among the most prolific institutions.

The Causal Effects of Economic Policy Uncertainty on Changes in Exchange Rates and Volatility: Empirical Evidence from Türkiye

Applying a novel econometric method, nonparametric causality-in-quantiles approach, this paper investigates the causal effects of economic policy uncertainty (EPU) on Turkish changes in exchange rates and volatility with the monthly data spanning from February 1998 to December 2019. This approach of gives an opportunity to investigate the (non)causality in the θ-th quantile only in mean (first moment,i.e., m=1) or variance (second moment,i.e.,m=2) as well as the (non)causality in the mean and variance (m=1 and 2) successively. In sum, this approach calculates volatility by squaring returns. We use EPU indexes of the United States, Australia, European Union, Japan, Canada, and the United Kingdom and their currencies (USD, AUD, EUR, JPY, CAD, GBP, respectively) vis-à-vis Turkish Lira (TRY) and find that the EPUs of Australia, the European Union and Japan affect the returns of the AUD/TRY, EUR/TRY and JPY/TRY exchange rates, respectively. These results show that the EPU indices of these countries can give an idea about the returns and volatility of the relevant Turkish changes in exchange rates. The findings of this paper provide important implications for policymakers, investors, firms, exporters, and importers. Also, some studies can be carried out on the effects of the EPU index that will be created to Türkiye on the Turkish exchange rates or the other Turkish financial assets.

Effect of atomization amounts on electrical discharge ablation machining and electrochemical machining

ABSTRACT This study investigated the impact of varying atomization amounts on composite machining involving both atomized electrical discharge ablation machining and electrochemical machining (EDAM-ECM). Additionally, this study examined the effects of different atomization amounts on the material removal rate, relative electrode wear rate, processing waveforms, surface roughness, surface morphology and elements, and the EDAM-to-ECM ratio. Moreover, a theoretical model for describing the material removal process in composite processing was developed. Furthermore, the effect of the ECM ratio on the processing results was quantitatively analyzed through the integration of statistical circuits with a formula for calculating recast layer thickness. The model was used to predict and select the optimal atomization amounts required to achieve recast layer removal during processing. The results revealed that at an atomization amount of 200 mL/min, 16.7% of the total material removal was attributable to ECM, indicating the successful removal of the recast layer. At this atomization amount, the fabricated sample maintained a machining precision of 0.02 mm.

The Effect of Humic and Gibberellin on the Growth and Flowering of The Cat's Eye (Syzygium Zeylanicum) Plant

Cat’s eye (Syzygium zeylanicum) is one of the tropical plants that has a fairly high value. Cat’s eye plant is often used variously. This first-year research was conducted with the aim to study the effect of the interaction of Humic acid and gibberellin on the flowering of Cat's eye plant and to determine the best concentrations of Humic acid (LHA) and gibberellin (GA) to spur the flowering of cat eye plant. The research method used is an experimental method with a factorial RAL treatment pattern. The first factor is the concentration of gibberellins consisting of 4 levels, namely 0 ppm; 100 ppm; 200 ppm; 300 ppm. The second factor is the concentration of Humic acid, which consists of 4 levels consisting of 0 ppm; 100 ppm; 200 ppm and 300 ppm. Each combination of treatments was repeated 10 times so that 120 experimental units were obtained. The results showed that the interaction between Humic acid and GA did not show significantly different results on all parameters tested. The independent use of GA and Humic acid may affect the growth of Cat's eye plant. GA treatment of 200 ppm showed plant height and relative growth rates. The Lion Humic acid treatment concentration of 0 ppm and 200 ppm showed the highest average number of flowers, while for the highest average number of roots shown in the 0 ppm Humic acid treatment. The F test was used to analyses the data, and if they were significantly different.

Power output at the moderate-to-heavy intensity transition decreases in a non-linear fashion during prolonged exercise.

The aims of this study were to: (i) describe the time course of the decrease in power output at the moderate-to-heavy intensity transition during prolonged exercise; (ii) investigate the association between durability of the moderate-to-heavy intensity transition and exercise capacity; and (iii) explore physiological correlates of durability of the moderate-to-heavy intensity transition. Twelve trained cyclists (age: 40 ± 8y, O2peak: 52.3 ± 5.2mL·min-1·kg-1) performed an exhaustive cycling protocol involving alternating incremental exercise tests to determine power output at the moderate-to-heavy intensity transition via the first ventilatory threshold (VT1), and 30-min bouts at 90% of the power output at the previously estimated VT1 in the rested state. The individual time course of VT1 was modelled using linear and second-order polynomial functions, and time to a 5% decrease in VT1 (Δ5%VT1) was estimated using the best-fitting model. Power output at VT1 decreased according to a second-order polynomial function in 11 of 12 participants. Time-to-task failure (234 ± 66 min) was correlated with Δ5%VT1 (139 ± 78 min, rs = 0.676, p = 0.016), and these were strongly correlated with absolute and relative rates of fat oxidation at specific exercise intensities measured during the incremental test performed in the rested state. These data: (i) identify a non-linear time course of decreases in the moderate-to-heavy intensity transition during prolonged exercise; (ii) support the importance of durability of the moderate-to-heavy intensity transition in prolonged exercise capacity; and (iii) suggest durability of the moderate-to-heavy intensity transition is related to fat oxidation rates.

Numerical Analysis of Unsteady Phenomena in a Contra-Rotating Stage Based on the Reduction of Local Entropy Production

Abstract The primary purpose of this study is the reduction of local entropy production in a contra-rotating stage. As such, the unsteady flow phenomena and the impact of radial load distribution on these phenomena and local entropy production need to be clarified. In this study, the stress-blended eddy simulation (SBES) turbulence model is utilized to capture the vortices in the flow separation zone, and the γ-Reθ transition model is employed to predict the transition phenomenon within the boundary layer. Entropy production rate models suitable for different turbulence models are constructed separately to calculate local entropy production. Vortex visualization is achieved according to the λci criterion, and the relative vorticity change rate is used to analyze the components of the tip clearance vortices. The transition phenomenon is analyzed from the perspectives of both the Euler and the Lagrange descriptions. The primary findings can be summarized as follows: the transition begins earlier and progresses more rapidly in the rear rotor. Wake propagation, occurring at double the frequency, entropy production rate within the boundary layer changes in synchrony with the wall shear stress at the same frequency. Additionally, an investigation of the tip clearance vortices concludes that the main structure of the tip clearance vortices coincides with the flow pattern of the high entropy production rate region, and the flow structure related to the high divergence area is essential for considering subsequent optimization with the aim of reducing the entropy production rate.

Performance of Chia (Salvia hispanica L.) under Spacing and Nutrient Management Practices in Cauvery Command Area

An investigation was carried out at the Zonal Agricultural Research Station, Vishweshwaraiah Canal Farm, Mandya, Karnataka, spanning from September to December in both 2020 and 2021. The purpose was to analyze how varying spacing and nutrient management practices affect the yield and growth rate of chia plants. The study involved two different spacings (S) and six levels of organic nutrients (N). Employing a 2 × 6 × 3 factorial experiment design within a randomized complete block framework with three replications, the experiment was conducted over a two-year period. The spacing of 60 cm × 15 cm (S2) resulted in notably higher absolute growth rates (1.00 and 1.87 g/day, respectively at 30 – 60 and 60 – 90 DAS) and biomass duration (221.84, 893.45 and 2182.73 days, respectively at 0 – 30, 30 – 60 and 60 – 90 DAS). Conversely, for relative growth rate (1.67 and 1.19 g/g/day × 10-2, respectively at 30 – 60 DAS and 60 – 90 DAS) and leaf area ratio (2180.90, 1967.19 and 1522.35 cm2/g × 10-2, respectively at 30, 60 and 90 DAS), higher values were observed with 45 cm × 15 cm spacing (S1). Among the various organic nutrient levels, the highest absolute growth rate (1.09 and 2.01 g/day, respectively at 30 – 60 and 60 – 90 DAS) and biomass duration (259.18, 1009.48 and 2403.23 days, respectively at 0 – 30, 30 – 60 and 60 – 90 DAS) were recorded with N6, while greater relative growth rate (1.86 and 1.20 g/g/day × 10-2, respectively at 30 – 60 DAS and 60 – 90 DAS) and leaf area ratio (2616.15, 2206.54 and 1723.31 cm2/g × 10-2, respectively at 30, 60 and 90 DAS) were found with N1. The interaction between spacing and organic nutrient levels did not yield any significant differences with respect to absolute growth rate, biomass duration, relative growth rate and leaf area ratio.

α-Tocopherol mediates alleviation of salt stress effects in Glycine max through up-regulation of the antioxidant defense system and secondary metabolites

α-Tocopherol (αT) has been reported to overcome the adverse effects of many environmental stresses, including salinity. A pot experiment was performed to investigate the response of salt-stressed soybean plants to the foliar application using 50, 100, or 200 mg αT L–1. The stress was applied by irrigation with three different dilutions of seawater [e.g., EC = 0.23 (tap water as a control), 3.13, or 6.25 dS m–1]. The gradual increase in salinity level gradually increased net carbon dioxide (CO2) assimilation, relative growth rate, antioxidant capacity, secondary metabolites (total phenolic compounds, flavonoids, and tannins), enzymatic activities, and DNA fragmentation due to the gradual increase in lipid peroxidation as a result of an increase in hydrogen peroxide (H2O2). On the contrary, yield components (number and weight of seeds plant–1) and photosynthetic pigment (total chlorophyll and carotenoids) contents gradually decreased with increasing salinity level. However, leaf treatment with αT, especially at 200 mg αT L‒1, preserved the highest antioxidant activities (antioxidant capacity, secondary metabolites, and enzymes), which were associated with the preservation of soybean yield and leaf pigments. These positive results occurred due to the reduction in lipid peroxidation as a result of a significant decrease in the level of H2O2. Therefore, our results recommend the use of 200 mg αT L–1 as a commercial formula for soybeans grown under saline irrigation of no more than 6.25 dS m–1.

Response of tree growth to nutrient addition is size dependent in a subtropical forest

Understanding how nutrient addition affects the tree growth is critical for assessing forest ecosystem function and processes, especially in the context of increased nitrogen (N) and phosphorus (P) deposition. Subtropical forests are often considered N-rich and P-poor ecosystems, but few existing studies follow the traditional “P limitation” paradigm, possibly due to differences in nutrient requirements among trees of different size classes. We conducted a three-year fertilization experiment with four treatments (Control, N-treatment, P-treatment, and NP-treatment). We measured soil nutrient availability, leaf stoichiometry, and relative growth rate (RGR) of trees across three size classes (small, medium and large) in 64 plots. We found that N and NP-treatments increased the RGR of large trees. P-treatment increased the RGR of small trees. RGR was mainly affected by N addition, the total effect of P addition was only 10 % of that of N addition. The effect of nutrient addition on RGR was mainly regulated by leaf stoichiometry. This study reveals that nutrient limitation is size dependent, indicating that continuous unbalanced N and P deposition will inhibit the growth of small trees and increase the instability of subtropical forest stand structure, but may improve the carbon sink function of large trees.

Responses in Plant Growth and Root Exudates of Pistia stratiotes under Zn and Cu Stress.

At present, the situation regarding heavy metal pollution in aquatic environments is becoming more and more serious. The bioaccumulation of heavy metals in aquatic plants causes obvious phytotoxicity, which can also induce secondary pollution in the aquatic environment. Zinc and copper, as indispensable elements for plant growth, are also prominent heavy metals in water pollution in China, and their concentrations play a crucial role in plant growth. In this study, we investigated the response of Pistia stratiotes (P. stratiotes) to different concentrations of Zn and Cu, and the results showed that plant growth and photosynthesis were inhibited under both Zn (1, 2, 4, and 8 mg/L) and Cu (0.2, 0.4, 0.8, and 1 mg/L) stresses. The relative growth rates of P. stratiotes under 8 mg/L Zn or 1 mg/L Cu stress were 6.33% and 6.90%, which were much lower than those in the control group (10.86%). Meanwhile, Zn and Cu stress caused insignificant change in the relative water contents of plants. The decrease in phlorophyll fluorescence parameters and chlorophyll contents suggested the significant photoinhibition of Zn and Cu stress. Chemical analysis of plant root exudates showed that the root secretion species obtained by gas chromatography-mass spectrometry (GC-MS) mainly included amino acids, alkanes, aldehydes, ketones, phenols, and more. Compared with the control group, the influence of Zn or Cu on the reduction in relative amounts of exudates was greater than that on the increase. The results of this study provide important data for the utilization of P. stratiotes in heavy metal-polluted water environments.

Abstract B031: The PLK1 inhibitor Volasertib as a treatment for HSF1 and MYC coamplified ovarian cancer

Abstract Ovarian cancer is a disease that afflicts 1 in 78 women. This disease only has a 5-year relative survival rate of 49% due to the fact that the first line chemotherapy for this disease, platinum-based chemotherapy with taxanes, has an 80% recurrence rate. To improve the treatment for this disease, it would be wise to find biomarkers of sensitivity to other drugs. Using publicly available data from The Cancer Genome Project, our lab has shown that 36% of High Grade Serous Ovarian Cancers (HGSOC) have gene amplifications for both Cellular Myelocytomatosis (MYC) and Heat Shock Factor 1 (HSF1) genes. These genes encode for transcription factors and are known to contribute to malignant disease in multiple cancer types, including ovarian cancer. Evidence indicates that MYC and HSF1 are both essential to HGSOC cells with co-amplification of these genes, that MYC and HSF1 transcriptional activities are highly correlated in patient tumors, and the two transcription factors have a protein-protein interaction, all suggesting these two transcription factors cooperate to drive this subset of HGSOC tumors. Many drugs have been developed to inhibit MYC or HSF1 though they have not shown success in clinical development. We aimed to decrease the activity of these proteins by targeting polo-like kinase 1 (PLK1), a kinase that phosphorylates and regulates both MYC and HSF1 proteins. Active PLK1 levels were highly correlated with MYC and HSF1 protein levels and inhibition of PLK1 with volasertib reduced MYC and HSF1 protein levels and transcriptional activity. Furthermore, volasertib was found to have 155-fold greater potency in HGSOC cells with MYC-HSF1 co-amplification compared to cells without these genes amplified. The increased potency of volasertib in MYC-HSF1 co-amplified cells were also observed in clonogenic growth and spheroid models. Together, these data indicate that MYC and HSF1 cooperate in HGSOC when these genes are amplified and targeting a common kinase between them in PLK1 disrupts this cooperation. Furthermore, MYC and HSF1 co-amplification may serve as a biomarker for volasertib through a personalized medicine approach to treat HGSOC patients. Citation Format: Matthew O'Malley, Imade W. Williams, Bobby Walker, Haimanti Ray, Kenneth P. Nephew, Richard Carpenter. The PLK1 inhibitor Volasertib as a treatment for HSF1 and MYC coamplified ovarian cancer [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr B031.

Abstract P03: Splicing factor mutations induce stress granule upregulation in myeloid malignancies

Abstract Myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) are aggressive blood cancers with a 5-year relative survival rate of only 37% and 28%, respectively [Sekeres MA, Taylor J. JAMA. 2022; https://www.cancer.net/cancer-types/leukemia-acute-myeloid-aml/statistics]. This highlights the need to better characterize the crucial oncogenic mechanisms sustaining cancer stem cell fitness in order to develop more effective therapies. Somatic mutations affecting splicing factor genes represent a hallmark of myeloid blood cancers [Saez B, et al. Blood. 2017]. Splicing factor mutations alter the splicing process of thousands of RNA molecules, but how they provide clonal advantage with consequent ineffective hematopoiesis remains an unanswered question. We integrated fractionated enhanced UV-crosslinking and immunoprecipitation (freCLIP-seq), bulk RNA-seq and immunofluorescence imaging demonstrating that U2AF1 mutations in myeloid malignancies alter the biology of stress granules (SGs), whose upregulation has been linked to tumorigenesis [Redding A, Grabocka E. Trends Cancer. 2023]. U2AF1 mutations, through RNA binding and splicing alterations, increase the availability of SG components leading to enhanced stress adaptation. Crucially, U2AF1-mutant cells show improved cell fitness that can be reverted by a SG inhibitor [Biancon G, et al. Mol Cell. 2022]. These observations have been recently validated at single-cell level in MDS patients (n=10) without splicing factor mutations, with U2AF1 S34F mutation, or with SRSF2 P95H mutation that carries an equally poor prognosis as U2AF1-mutant disease. We isolated CD34+ blasts from bone marrow samples and performed 10x Genomics 5' scRNA-seq. Integrating cell type annotation (https://github.com/TebaldiLab/TheCellMarkerAccordion) with mutational analysis (VarTrix v1.1.19), we clearly distinguished an enrichment of U2AF1 mutant cells and of SRSF2 mutant cells in hematopoietic multipotent progenitor cells. The enrichment is observed also in monocytic cells that are also characterized by high SG score. Of note, it has been recently showed that leukemic stem cells with monocytic phenotype are associated to relapse in AML patients treated with BCL2-inh [Pei S, et al. Cancer Discov. 2023]. We then identified the top influential SG genes in each annotated mutant population and conducted functional enrichment analysis. In hematopoietic multipotent progenitor cells, the biological processes mainly affected by the SG upregulation are regulation of translation, of microtubule, of transcription and of cell growth. Changes in SGs may represent the collective result of splicing aberrancies that drive ineffective hematopoiesis in MDS and AML, or other potential tumorigenic phenotypes. Splicing factor mutations are in fact reported in several cancer types [Stanley RF, Abdel-Wahab O. Nat Cancer. 2022] and SGs are involved in several cancer hallmarks [Boija A, et al. Cancer Cell. 2021]. Alterations in SGs provide therefore novel therapeutic opportunities in blood cancers and potentially in other cancers. Citation Format: Giulia Biancon, Emma Busarello, Matthew Cheng, Domitilla Baccon, Jennifer VanOudenhove, Fabio Ciceri, Toma Tebaldi, Stephanie Halene. Splicing factor mutations induce stress granule upregulation in myeloid malignancies [abstract]. In: Proceedings of the Blood Cancer Discovery Symposium; 2024 Mar 4-6; Boston, MA. Philadelphia (PA): AACR; Blood Cancer Discov 2024;5(2_Suppl):Abstract nr P03.

A Study of Acreage Dynamics and Crop Variability in the Horticultural Sector of ODOP Scheme of Madhya Pradesh, India

The objective of the present study was to analyse the dynamics of acreage of major horticultural crops included under the ODOP scheme in Madhya Pradesh. The research methodology used for the purpose of analysing the data includes absolute change, relative change, compound annual growth rate and coefficient of Variation. For analysis secondary data on area under various horticultural crops was collected from the official website of Directorate of Economics and Statistics, India for a period of 21 years (2000-01 to 2020-21). Nine major horticultural crops were selected in the study which were divided under spices (Chillies, Coriander, Ginger, Garlic, and Turmeric), vegetables (Potato, and Onion) and fruits (Mango and Banana). The change and growth rate of area under major crops were analysed by using absolute and relative change and compound annual growth rate and coefficient of variation. The analysis and research findings showed that area share under most of spices declined except for chillies in Khargone district. Highest growth rate in area under spices was for garlic in Mandsaur district. For vegetables onion showed increase in area in Shajapur and potato in Dewas and Ujjain, and positive growth rate was recorded for all districts in both crops except potato in Gwalior district. While in fruits banana showed considerable increase in share as well as growth rate in Burhanpur district. Mango showed positive growth rate in Anuppur district. The theoretical implications of the study was a decline in area share but a positive growth rate in majority of spices in Guna, Tikamgarh and Rewa. While the majority of vegetables showed positive growth in the state. The contribution of study is in bringing the attention of spice, vegetable and fruit growers towards the real potential of various districts for the growth of spices, fruit or vegetable in that region. This will ultimately contribute in profiting the farmers and increasing their production efficiency.

Determination of Effective Parameters for Hydropower Plants’ Energy Generation: A Case Study

The current study aims to conduct a comprehensive analysis of the key parameters that affect the energy output of the Bagisli Hydropower Plant, located on the Zap River in the Dicle (Tigris) basin of Turkey. It considers the daily data for the time interval of 2016–2019 related to flow rate, precipitation, and temperature in relation to the generation of electricity. The relationship between energy output and flow rate is evident; however, the energy production is limited by the design flow rate. The largest flow rates were seen during the spring season after the occurrence of peak precipitation, which exhibited a shifting pattern. Similarly, energy generation also reaches its highest level during this time period. Another outcome of this study is that there is no apparent association between daily precipitation and daily energy generation. Moreover, a novel correlation with an R2 value of 0.89 has been proposed, in the deviation band of ±20%, to estimate energy generation when only flow rate data are available.

Authigenic Carbonate Burial Within the Late Devonian Western Canada Sedimentary Basin and Its Impact on the Global Carbon Cycle

AbstractStable carbon isotope ratios (δ13C values) of marine carbonates are widely used to infer the relative burial rates of organic carbon, a source of oxygen to the ocean‐atmosphere system. This inference, however, is based on the assumption that ocean‐atmospheric carbon is buried either as organic carbon or as marine carbonate minerals. The burial of authigenic carbonate minerals formed within sediments after deposition, with low δ13C values (i.e., similar to organic carbon), has been proposed to explain high δ13C values in marine carbonates without the need for high burial fluxes of organic carbon. To test this hypothesis, we focus on the Late Devonian, a time period with both pervasive ocean anoxia and a severe reduction in shallow‐water carbonate deposition—conditions hypothesized to promote authigenic carbonate formation. We present sedimentological and geochemical data from limestones and black shales of the Wabamun Group, Besa River and Exshaw formations of the Western Canada Sedimentary Basin. These data are compared to inorganic and organic weight percent measurements of North American shales acquired from the USGS National Geochemical Database (N = 4,437). Results show that basinal shale lack authigenic carbonate with low δ13C values and that the mean δ13C value of carbonate in these shales (−0.3‰) do not differ substantially from mean δ13C of carbonates in platform carbonates of a similar age (0.4‰). Furthermore, inorganic carbon content in Late Devonian shales (mean weight percent = 0.55%, N = 54) is lower than average Phanerozoic North American shale (mean of 1.95%, N = 4,055). Lastly, organic carbon‐to‐inorganic carbon ratios (OC:IC) of North American shales are well above 1 (mean = 3.72 for Late Devonian shales (N = 374), 2.25 for shales (N = 3,653) of all other ages). Therefore, even if the burial of fine‐grained siliciclastic formations carrying authigenic carbonates were to increase, the concomitant increase in organic carbon burial would be even larger. Together, data from this study do not provide evidence that the burial of authigenic carbonate would have a significant effect on global carbon isotope mass balance.

Inferring ventilation rates with quantified uncertainty in operational rooms using point measurements of carbon dioxide: Classrooms as a case study

We present a robust integral method to estimate the daily mean per-person ventilation rate Q¯pp based on carbon dioxide (CO2) concentration measurements in operational spaces, and limited other data. The method makes no assumptions regarding the ventilation provision throughout the day, nor requires the room to be in a steady state, nor the air within to be well-mixed. We demonstrate that several integral parameters remain reliably close to a value of unity, despite large variations in room conditions. Evaluating the likely distributions of integral parameters provides a method to quantify the uncertainty bounds and therefore assess the reliability of these ventilation estimates. Taking school classrooms as a case study, estimates of Q¯pp based on measured CO2 are shown to exhibit uncertainty bounds (of 95% confidence intervals) of approximately ±24% if no other data than the classroom timetable is available. Deploying four CO2 sensors within a classroom is expected to halve the uncertainty bounds to around ±12%. Moreover, the framework presented herein evidences that when the same classroom experiences similar usage on two different days, the relative per-person ventilation rate achieved during these two days can be simply determined by the ratio of their integral excess CO2 concentrations. These significant findings offer great scope to facilitate more reliable ventilation estimates, particularly from large-scale data sets of CO2 measured in operational spaces, to better inform assessments of indoor air quality.