Coefficient Values Research Articles

INFLUENCE OF LAND USE CHANGE ON THE MAGNITUDE OF THE RUNOFF COEFFICIENT IN THE UPPER KAPUAS RIVER BASIN

The increase in population in the upper Kapuas Hulu River Basin will also increase the need for land. This increase in land demand can cause land use changes, affecting the runoff coefficient. Based on the reasons above, research was conducted to determine the effect of changes in land use on the magnitude of the runoff coefficient in the upstream part of the Kapuas River Basin from 2012 to 2017 and 2017 to 2022.The runoff coefficient calculation uses the U.S. Forest Service, Hassing, Kodoatie, and Syarief methods. Each method uses different parameters to determine the results. Data processing is carried out using a Geographic Information System (GIS).The analysis and calculations show that the runoff coefficient values obtained in the Upper Kapuas River Basin using the U.S. Forest Service method in 2012, 2017, and 2022 are 0,133, 0,136, and 0,145. The Hassing method results are 0,308, 0,309, and 0,312, and the Kodoatie and Syarief method results are 0,156, 0,167, and 0,173. This value shows that the Upper Kapuas River Basin is in reasonably good condition because the runoff coefficient value is far below 1.

Halka Şekilli Lateral Ventrikül Nodüllerinin Konvansiyonel ve Diffüzyon MR Görüntüleme Özellikleri

Objective: The aim of this study is to evaluate the conventional and diffusion MRI findings of ring-shaped lateral ventricular nodules (RSLVN) along with clinical features.
 Methods: MR images of all patients who underwent contrast-enhanced brain MRI between 2019 and 2023 were retrospectively evaluated. The number, shape, maximal diameter, and signal intensity of RSLVNs on T1-weighted (T1W), T2-weighted (T2W), fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted imaging (DWI), and contrast-enhancement status were evaluated. Apparent diffusion coefficient (ADC) values and normalized ADC ratios of nodules were also determined. If follow-up MRIs were performed, morphological changes of RSLVNs were evaluated. 
 Results: RSLVN was observed in fifteen (0.51%) of 2920 patients. Multiple RSLVNs were observed in five patients and therefore a total of 23 RSLVNs were identified in fifteen patients. Nodules were located on the roof of the lateral ventricle in eight nodules (34.8%), in the frontal horn in twelve nodules (52.2%), and in the septum pellucidum in three. 6 of 23 RSLVNs (26.1%) were larger than 1 cm. All RSLVNs were isointense on T1W and T2W, while hyperintense on FLAIR. On DWI, 20 of 23 RSLVNs had isointense signal and the remaining 3 lesions were hyperintense. The mean ADC value and nADC ratio were 1.42 ± 0.29 x 10-3mm2 and 1.87 ± 0.31, respectively.
 Conclusion: RSLVNs may be more frequent than previously reported. Their uniform MRI appearance and typical localizations are distinctive, and they can reach relatively large sizes. Morphological stability during follow-up and the ADC values of these lesions suggest a possible benign nature.

Effect of intracavitary electrocardiographic localization on the success rate and complications of PICC in infants.

Peripherally inserted central catheter (PICC) is widely used in chemotherapy of children with malignant tumors because of its safe operation and long indwelling time. To investigate the effect of intracavitary electroencephalogram (CEEG) localization technique on the success rate and complications of PICC in infants. A total of 180 children with PICC catheterization and maintenance at Shijiazhuang People's Hospital First Hospital from January 2017 to January 2020 were selected and divided into control group (n= 90 cases) and observation group (n= 90 cases). The control group observed the tip position of the fixed catheter through X-ray film and adjusted the catheter until its tip was located in the superior vena cava. The observation group used intracavitary electrocardiogram positioning technology. Comparison of the effects of two groups on the success rate and complications of PICC puncture in infants and young children. The success rate of one puncture in the observation group was significantly higher than that in the control group (P< 0.05). Within one month of catheterization, 13 cases had complications, with an incidence rate of 16.00% lower than the control group's 34.00% (27/80) (P< 0.05). The screening test results showed that the specificity, sensitivity, Youden index, accuracy, kappa coefficient, positive and negative predictive value were 88.89%, 97.56%, 0.86, 96.00%, 0.86, 0.86, respectively. The measured values were 97.56% and 88.89% respectively, and the cost and time of localization were lower than those of X-ray. The technique of intracavitary electrogram can be more accurate for infants to place the tip of central venous catheter through peripheral vein, which can effectively improve the success rate of one puncture with low cost, and has high reliability, accuracy and practicability, which is safe and effective.

Pengaruh Jumlah Penduduk, Tingkat Pendidikan, Inflasi dan Pengangguran terhadap Tingkat Kemiskinan di Kabupaten Flores Timur Tahun 2013-2022

This study aims to determine the effect of population, education level, inflation and unemployment on poverty levels in East Flores District partially and simultaneously. This study uses quantitative research methods with the analysis technique used is the semilog linear regression model. To calculate the linear regression equation, the semilog model data must meet the classical assumption test and hypothesis test. This is evidenced by the results of the parametric significant test (t test). The coefficient value of the population variable is 2,322 with tcount&lt;ttable (2,325&gt;2,015), the coefficient value of the education level variable is -14.502 with tcount&lt;ttable (-2.307&lt;2,015), the inflation variable coefficient value is -0.784 with tcount&lt;ttable (-4.781&lt;2,015) and the coefficient value of the unemployment variable is 3.736 with tcount&gt;ttable (3.401&gt;2,015). Then for the F test, the value of Fcount&gt;Ftable(7.642&gt;5.19) is obtained. Based on the results of the calculation of the t test, it can be concluded that the population variable has no effect on the poverty level because the addition of the population is followed by a higher increase of other factors which are indicated to reduce poverty such as increased income in the community, causing a high poverty rate. goverment to finance his education thereby reducing the poverty rate in East Flores Regency. Inflation has a negative effect on the level of poverty, even though there is inflation, the poor are still able to meet their needs and unemployment affects the level of poverty because the unemployed are people who do not have jobs and income so they cannot make ends meet. Based on the F test that population, education level, inflation and unemployment simultaneously affect the level of poverty in East Flores Regency.

Apparent diffusion coefficient values predict response to brachytherapy in bulky cervical cancer

BackgroundDiffusion-weighted magnetic resonance imaging (DWI) provides a measurement of tumor cellularity. We evaluated the potential of apparent diffusion coefficient (ADC) values obtained from post-external beam radiation therapy (EBRT) DWI and prior to brachytherapy (BT) to predict for complete metabolic response (CMR) in bulky cervical cancer.MethodsClinical and DWI (b value = 500 s/mm2) data were obtained from patients undergoing interstitial BT with high-risk clinical target volumes (HR-CTVs) > 30 cc. Volumes were contoured on co-registered T2 weighted images and 90th percentile ADC values were calculated. Patients were stratified by CMR (defined by PET-CT at three months post-BT). Relation of CMR with 90th percentile ADC values and other clinical factors (International Federation of Gynecology and Obstetrics (FIGO) stage, histology, tumor and HR-CTV size, pre-treatment hemoglobin, and age) was assessed both in univariate and multivariate logistic regression analyses. Youden’s J statistic was used to identify a threshold value.ResultsAmong 45 patients, twenty-eight (62%) achieved a CMR. On univariate analysis for CMR, only 90th percentile ADC value was significant (p = 0.029) while other imaging and clinical factors were not. Borderline significant factors were HR-CTV size (p = 0.054) and number of chemotherapy cycles (p = 0.078). On multivariate analysis 90th percentile ADC (p < 0.0001) and HR-CTV size (p < 0.003) were highly significant. Patients with 90th percentile ADC values above 2.10 × 10− 3 mm2/s were 5.33 (95% CI, 1.35–24.4) times more likely to achieve CMR.ConclusionsClinical DWI may serve to risk-stratify patients undergoing interstitial BT for bulky cervical cancer.

Electro-optic and transport properties with stability parameters of cubic KMgX (X = P, As, Sb, and Bi) half-Heusler materials: Appropriate for green energy applications

Due to their distinct characteristics and prospective uses in several disciplines, half-Heusler (HH) materials are a family of intermetallic compounds that have garnered a lot of attention. HH compounds have a cubic crystal structure and exhibit a wide range of electronic, optical, mechanical and thermoelectric characteristics. Direct bandgap acquired by the WC-GGA (TB[Formula: see text][Formula: see text][Formula: see text]mBJ) approach is 1.07[Formula: see text]eV (2.26[Formula: see text]eV), 0.61[Formula: see text]eV (1.71[Formula: see text]eV), 0.76[Formula: see text]eV (1.68[Formula: see text]eV), and 0[Formula: see text]eV (0.78[Formula: see text]eV) for KMgP, KMgAs, KMgSb, and KMgBi, respectively. Threshold power [Formula: see text] of KMgX ([Formula: see text], As, Sb, and Bi), starts from 2.218, 1.701, 1.674, and 0.776[Formula: see text]eV, so they exhibit the distinct peaks at 4.014, 3.742, 3.388, and 3.197[Formula: see text]eV, correspondingly. Among these materials, the maximum value of Seebeck coefficient (S) has been attained at 300[Formula: see text]K. Specifically, KMgP achieves the highest value of S at 3.134[Formula: see text]mV/K, followed by KMgAs at 2.947[Formula: see text]mV/K, KMgSb at 2.893[Formula: see text]mV/K, and KMgBi at 1.431[Formula: see text]mV/K, all in their respective p-type configurations. In order to determine the compound’s stability, we will explore the elastic and thermodynamic properties. We will also discuss their possible applications in photovoltaic and thermoelectric devices.

Average trapping time on horizontally divided 3-dimensional 3-level Sierpinski gasket network

An important characteristic of random wandering is the average trapping time, which is a hot issue in current research. The average trapping time is an important measure of the transmission efficiency of random wandering in a network. In this paper, we construct a 3-dimensional 3-level Sierpinski gasket network divided horizontally by the horizontal division plane P s , that is, the division coefficients s. We study the capture problem on the network and obtain an analytical expression for the average trapping time (ATT). Then, by adjusting the number of iterations and the values of the division coefficients, we obtained the relationship between ATT and them. As can be seen from our numerical simulation plots, ATT is affected by s. The larger s is, the more the self-similar structure of the three-dimensional residual network gradually transforms towards the structure of the two-dimensional complete Sierpinski gasket network. Meanwhile, the shorter ATT is, that is, the more efficient the transmission on the network.

Assessment of Genetic Variability, Heritability, Genetic Advance, and Diversity Analysis for Morpho Physiological Traits in Finger Millet [Eleusine coracana (l.) Gaertn.

The study, conducted during the Kharif season of 2022, aimed to evaluate genetic variability, heritability, genetic advance, and diversity for morpho-physiological traits in finger millet (Eleusine coracana (L.) Gaertn.) using 39 genotypes. Significant genetic variation was identified for all studied traits through variance analysis. While moderate to high values of Phenotypic Coefficient of Variation (PCV) and Genotypic Coefficient of Variation (GCV) were observed for most traits, exceptions were noted for days to 50 percent flowering, days to maturity, relative water content in leaves, and chlorophyll stability index. The study revealed high heritability with moderate to high genetic advance as a percent of the mean for most traits, suggesting the prevalence of additive gene effects. However, chlorophyll stability index and relative water content exhibited lower values. D2 analysis indicated the existence of sufficient genetic diversity among the genotypes. The genotypes were categorized into five distinct non-overlapping clusters. Cluster I, the largest cluster with 35 genotypes, displayed maximum intra-cluster distance. Clusters V and III had the highest inter-cluster distances, Days to maturity played a significant role in overall divergence. The findings suggest that a direct selection approach in finger millet landraces could lead to a substantial increase in yield response. This research provides valuable insights into the genetic characteristics of finger millet genotypes, offering a foundation for targeted breeding programs to enhance crop improvement.

On radially symmetric oscillations of a collisional cold plasma

We study the influence of the friction term on the radially symmetric solutions of the repulsive Euler–Poisson equations with a non‐zero background, corresponding to cold plasma oscillations in multiple spatial dimensions. It is shown that for any arbitrarily small non‐negative constant friction coefficient, there exists a neighborhood of the zero equilibrium in the norm such that the solution of the Cauchy problem with initial data belonging to this neighborhood remains globally smooth in time. Moreover, this solution converges to zero as . This result contrasts with the situation of zero friction, where any small deviation from the zero equilibrium generally leads to a blow‐up. Our method allows us to estimate the lifetime of smooth solutions. Further, we prove that for any initial data, one can find such a coefficient of friction that the respective solution to the Cauchy problem keeps smoothness for all and converges to zero. We also present the results of numerical experiments for physically reasonable situations, which allows us to estimate the value of the friction coefficient, which makes it possible to suppress the formation of singularities of solutions.

Application of machine learning and statistical approaches for optimization of heavy metals (Cd2+, Pb2+, Cu2+, and Zn2+) adsorption onto carbonized char prepared from PET plastic bottle waste

ABSTRACT This study focuses on the probable use of carbonized char prepared from PET plastic bottles for heavy metals (HMs) adsorption (Cd2+, Pb2+, Cu2+, and Zn2+). The prepared adsorbent is characterized by field-emission scanning electron microscopy (FE-SEM), energy dispersive X-ray spectroscopy (EDX), and Fourier-transform infrared spectroscopy (FTIR). Batch adsorption experiments were conducted with the influencing of different operational conditions: contact time (1–180 min), adsorbate concentration (25–300 mg/L), adsorbent dose (0.5–6 g/L), pH (3–7), and temperature (25–60 ºC). High coefficient value [Cd2+ (R2 = 0.99), Pb2+ (R2 = 0.97), Cu2+ (R2 = 0.94), and Zn2+ (R2 = 0.98)] of process optimization model suggest that this model was significant, where pH and adsorbent dose expressively stimulus removal efficiency including 86.68, 73.66, 67.10, and 57.04% for Cd2+, Pb2+, Cu2+, and Zn2+ at pH (7), respectively. Furthermore, ANN and BB-RSM revealed a good association between the tested and projected values. The maximum monolayer adsorption capacity of Cd2+, Pb2+, Cu2+, and Zn2+ was 263.157, 78.740, 196.078, and 84.745 mg/g, respectively. Pseudo-second-order was the well-suited kinetics, where Langmuir and Freundlich isotherm could explain better for equilibrium adsorption data. Thermodynamic study shows HMs adsorption is favorable, exothermic, and spontaneous.

Estimating Winter Wheat Plant Nitrogen Content by Combining Spectral and Texture Features Based on a Low-Cost UAV RGB System throughout the Growing Season

As prior information for precise nitrogen fertilization management, plant nitrogen content (PNC), which is obtained timely and accurately through a low-cost method, is of great significance for national grain security and sustainable social development. In this study, the potential of the low-cost unmanned aerial vehicle (UAV) RGB system was investigated for the rapid and accurate estimation of winter wheat PNC across the growing season. Specifically, texture features were utilized as complements to the commonly used spectral information. Five machine learning regression algorithms, including support vector machines (SVMs), classification and regression trees, artificial neural networks, K-nearest neighbors, and random forests, were employed to establish the bridge between UAV RGB image-derived features and ground-truth PNC, with multivariate linear regression serving as the reference. The results show that both spectral and texture features had significant correlations with ground-truth PNC, indicating the potential of low-cost UAV RGB images to estimate winter wheat PNC. The H channel, S4O6, and R_SE and R_EN had the highest correlation among the spectral indices, Gabor texture features, and grey level co-occurrence matrix texture features, with absolute Pearson’s correlation coefficient values of 0.63, 0.54, and 0.69, respectively. When the texture features were used together with spectral indices, the PNC estimation accuracy was enhanced, with the root mean square error (RMSE) decreasing from 2.56 to 2.24 g/kg, for instance, when using the SVM regression algorithm. The SVM regression algorithm with validation achieved the highest estimation accuracy, with a coefficient of determination (R2) of 0.62 and an RMSE of 2.15 g/kg based on the optimal feature combination of B_CON, B_M, G_DIS, H, NGBDI, R_EN, R_M, R_SE, S3O7, and VEG. Overall, this study demonstrated that the low-cost UAV RGB system could be successfully used to map the PNC of winter wheat across the growing season.

The Effect off Leadership Style and Work Environment on Online Team Performance Using SEM-PLS

&lt;p&gt;&lt;em&gt;The problem that occurs in the online group of Gen-Q Educational Product Distribution (EPD-R), namely the lack of qualified EPC which causes organizational performance in the EPD-R online group is less than optimal. The purpose of this study is to know whether the style of leadership and work environment affects the performance of the team in the EPD-R online group. The method used is SEM with the Tools Partial Least Square (pls). Partial Least Square (pls) is a multivariate statistical analysis technique by predicting the effect of variables X to Y variables and explaining theoretical relationships between the two variables. The results showed that the influence of leadership style variables on team performance was proven significant with a value of p-value 0.05 and the working environment variable on the team's performance did not have a significant effect because of the value of p-value 0.05. The coefficiency value of the leadership style variable on the performance of the team has a positive value. Where, when leadership style increases, team performance will also increase. While the coefficient value of the work environment variable on the performance of the team has a positive value.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;

Potential removal of arsenite from contaminated water using a fixed bed column packed with TiO2-impregnated pomegranate peel powder

A dynamic biosorption of arsenite in a fixed bed column packed with TiO2 impregnated pomegranate peel (PP@TiO2) has been investigated in this work, which is important to identify the effectiveness and affordability of an adsorbent in actual practice. To create an active adsorption site for As (III) ions, pomegranate peel powder (PP) was impregnated with TiO2. Under various operating parameters, the performance of a column packed with PP@TiO2 for adsorbing As (III) ions was evaluated. Breakthrough curve modelling showed that the bed depth service time (BDST) and Thomas models agreed well with the experimental data. The maximum column capacity of PP@TiO2 using the Thomas model was found to have resembled experimental value with high values of coefficient of determination. Therefore from these results, we may anticipate that PP@TiO2 can be a strong contender for the treatment of wastewater that has traces amount of the As (III) ion in a fixed bed system.

PEDAGOGICAL KNOWLEDGE OF REMEDIAL EDUCATION TEACHERS TOWARDS STUDENTS WITH AUTISM

Autism Spectrum Disorder (ASD) can impact every family and kid, regardless of color, ethnicity, or educational attainment. This study aims to assess remedial teachers' level of understanding regarding children with autism. The association between the remedial teacher's understanding of autistic students and their educational background as well as their teaching experience is also examined in this study. A descriptive cross-sectional study methodology was used to assess the remedial teachers' degree of understanding regarding kids with autism. Simple random sampling was used to pick 50 remedial instructors from 50 elementary schools in the Petaling Perdana area. Using a Google Form questionnaire based on earlier research, primary data was gathered. Statistical Packages for The Social Sciences (version 27) was utilized to process and evaluate the data. The instrument that has been produced with a Cronbach's Alpha coefficient value of α = 0.73 was examined using the Pearson Correlation test. With a mean score of 3.39, this research indicates a low degree of expertise. This demonstrates the necessity for remedial teachers to increase their understanding of ASD. Most remedial teachers expressed enthusiasm in working with students who have autism when given the right support. Additionally, remedial teachers lack expertise about students with autism. They are having trouble identifying the pupils. Thus, the researcher recommends that basic courses, training, workshops, or pertinent seminars on autistic kids be implemented in all schools going forward.

IMPLEMENTATION OF UNIVERSAL LEARNING DESIGN PRINCIPLES BY MAINSTREAM TEACHER IN INCLUSIVE EDUCATION PROGRAMS

Sustainable Development Goal 4 (SDG) has stressed the aspect of inclusive education. In Malaysia, the implementation of the Inclusive Education Program has been implemented, which is the placement of students with special educational needs (SEN) together with typical students in the classroom based on the experience of other countries. It is seen as more effective for SEN to obtain effective social interaction in life. To ensure that this inclusive education can be achieved, a universal learning design (UDL) has been developed. UDL is a framework for improving and optimizing teaching and learning for all individuals based on scientific insights into how humans learn. Therefore, the objective of this study is to identify the level of implementation of universal learning design (UDL) of mainstream teachers in the Inclusive Education Program (IEP) in primary schools in Kota Tinggi, Johor. The sample is a total of 82 mainstream teachers who teach the Inclusive Education Program at the primary school level. The census sampling method was used. The questionnaire that was constructed was adapted from the UDL Framework Scale 2023 and Borang Penskoran Evidens SKPM Gelombang 2 2016 with Cronbach's Alpha coefficient value a = 0.943 was used to collect data. Statistical Package for Social Sciences (SPSS) Version 29 software was applied to analyze the data obtained. Descriptive analysis found the level of implementation of the 3 principles of UDL in IEP by mainstream teachers at a high level.

A study of the effect of cerium ion doping concentration on the structural, electrical, and thermoelectric properties of CaMnO3 nanoparticles

Abstract Universally, energy loss in the form of heat is predominant and this heat is irrecoverable waste heat that leads to global warming. Clean, green, eco-friendly, cost-effective, and renewable energy sources are the possible solutions for this energy crisis and global warming issues. Thermoelectric power generation is a promising technology by converting this irrecoverable waste heat directly into electricity without any greenhouse gas emission. Nanostructured CaMnO3 at various cerium concentrations have been successfully prepared by sol–gel hydrothermal method followed by annealing and sintering. Pure and doped samples were systematically characterized by DSC, powder XRD, RAMAN, SEM with EDAX and FTIR spectroscopy. Electrical and thermoelectrical measurements were carried out on the sintered pellets. The XRD analyses confirmed the formation of orthorhombic perovskite structure for all the samples and the average particle size lies in the range of 50–60 nm. FTIR analysis shows the presence of CaMnO3 nanoparticles without any impurities. The temperature dependence of physical properties was performed and analyzed between room temperature and 600 °C. Electrical resistivity strongly depends on the nature of substituent ions and negative values indicate that the electrons are major charge carriers. Large Seebeck coefficient value and high-power factor make Ca1−x Ce x MnO3 an efficient thermoelectric material for energy storage applications.

Thermophoretic particle deposition in a nanofluid flow across a disc with non-fourier heat flux: An investigation using tangent hyperbolic model

Non-Newtonian nanofluids are attracting the attention of researchers and academics due to the high heat transmission rates that they possess. To improve thermal devices and exchangers, the researchers come up with innovative and expense-effective methods. One of the advanced technological approaches that can be utilized to enhance the thermal performance of devices is the utilization of nanofluids. This non- Newtonian nanofluid possesses the advanced properties of increasing heat transfer and destroying harmful bacteria. For this purpose, the present theoretical work is to explore the heat and thermophoretic particle deposition analysis on the tangent hyperbolic nanofluid flow over the rotating porous disk with presence of non-Fourier heat flux model and nanoparticle aggregation effect. Darcy-Forchheimer fluid model is adopted to develop the fluid flow system. Furthermore, the nanofluid’s viscosity and thermal conductivity are expressed through advanced modeling, employing the modified Krieger-Dougherty model for viscosity and the Maxwell-Bruggeman model for thermal conductivity. The nanoparticles and base fluid involved in this context are Molybdenum disulfide ( Mo S 2 ) and Water/carboxyl-methyl cellulose (CMC) respectively. The mathematical representation of the fluid flow and energy propagation involves a system of coupled partial differential equations (PDEs). The system of partial differential equations (PDEs) is transformed into non-dimensional ordinary differential equations (ODEs), which are then solved both analytically and numerically using the Homotopy Analysis Method(HAM) and Runge-Kutta-Fehlberg (RKF) method along with shooting technique. Exploring the graphical representation reveals a comprehensive analysis of key factors influencing velocity, temperature, and concentration. Through innovative visualization, these parameters take center stage, providing insights into their intricate interplay and dynamic relationships. The heat transfer rate is enhanced 0.24% and 1.4% by rising the values of thermal relaxation parameter and Weissenberg number. Also, the mass transfer rate is accelerated 0.8% and 0.14% due to enhancing the values of thermophoretic coefficient and thermophoresis parameter.

Flow Boiling Heat Transfer in Enhanced Tubes With Composite Structure

Abstract To fill the research gaps in the study of flow boiling on composite surfaces, four heat exchange tubes with different structures were investigated: an enhanced tube with herringbone teeth (EHT_HB), a tube with a dimple structure (EHT_DIM), a tube with a composite herringbone tooth/dimple structure (EHT_HB/DIM), and a smooth tube as a baseline for comparison purposes. The experimental conditions were set as follows: saturation temperature 6 °C, mass flux 50–205 kg/(m2 · s), and vapor quality 0.2–0.8. After confirming the validity of the experimental results, the effects of the mass flux on the flow boiling heat transfer and pressure drop characteristics were examined. Results showed that the flow boiling heat transfer coefficient and pressure drop increase with the increase of the mass flux and the vapor quality in the tested tubes. The EHT_HB/DIM tube was found to combine the advantages of the two structures and to have the highest heat transfer coefficient. The average value of the heat transfer coefficient was found to be 43.75% higher than that of the smooth tube. Also, the average flow boiling heat transfer coefficients of the EHT_HB and the EHT_DIM tubes were found to be 15% and 35% higher than that of the smooth tube, respectively. From the perspective of the frictional pressure drop, it was found that the EHT_HB/DIM tube exhibited the maximum frictional pressure drop. The optimum working conditions of the enhanced tubes were determined by introducing a performance factor that captures the combined effects of heat transfer and pressure drop.

Transport Coefficients of Relativistic Matter: A Detailed Formalism with a Gross Knowledge of Their Magnitude

The present review article has attempted a compact formalism description of transport coefficient calculations for relativistic fluid, which is expected in heavy ion collision experiments. Here, we first address the macroscopic description of relativistic fluid dynamics and then its microscopic description based on the kinetic theory framework. We also address different relaxation time approximation-based models in Boltzmann transport equations, which make a sandwich between Macro and Micro frameworks of relativistic fluid dynamics and finally provide different microscopic expressions of transport coefficients like the fluid’s shear viscosity and bulk viscosity. In the numeric part of this review article, we put stress on the two gross components of transport coefficient expressions: relaxation time and thermodynamic phase-space part. Then, we try to tune the relaxation time component to cover earlier theoretical estimations and experimental data-driven estimations for RHIC and LHC matter. By this way of numerical understanding, we provide the final comments on the values of transport coefficients and relaxation time in the context of the (nearly) perfect fluid nature of the RHIC or LHC matter.

Impact of Invasive Fall Army Worm on Maize Yield and Return Pattern in India: A Comprehensive Analysis

A study was conducted from 2018 to 2022 to investigate the impact of fall armyworm (FAW) invasion on maize cultivation in Karnataka, India. The financial implications and determinants of maize productivity were also determined. Following FAW invasion, cost of cultivation rose significantly to Rs. 69,747 compared to previous year cost of cultivation Rs.63,283 in absence of FAW, attributed to increased expenses on plant protection chemicals, labor, and fertilizer. Plant protection costs at Rs. 3,450 skyrocketed post FAW invasion compared to Rs. 329 before invasion. Whereas non managed fields had a total cost of Rs 61,760. The findings revealed that FAW caused substantial significant yield reduction of 4.14 q/ha in managed fields and 21.74 q/ha in non-managed fields when compared with yield of 49.54 q/ha prior to invasion. The cost of production found to be substantially high (Rs.2,222/q) after FAW invasion in non-managed fields and managed fields (Rs.1,536/q) when compared to prior FAW (Rs.1,277/q). The farmers in study area could able to realize higher returns per rupee of expenditure (1.54) prior to FAW when compared with after FAW invasion with management (1.28) and without management (0.89). The net profit margin of maize cultivation in the study area prior to FAW invasion stood at 35.19 per cent compared to 22.06 per cent after Fall Armyworm invasion with management and -11.71 per cent, without management practices, respectively. The results also revealed net financial impact of FAW invasion on maize cultivation, at Rs. -13,472/ha post invasion even after employing management practices and positive net financial impact of Rs. 26,987.50/ha for implementing FAW management measures when compared with non-managed fields post invasion. The relation between rainfall and productivity was statistically significant at one per cent level of probability with co-efficient value of 1.72. The coefficient value associated with the infestation event (-406.81) was found to be high, indicating a potentially strong relationship between productivity and infestation event.