Miracle-dz/UniFAR-FTUs huggingface dataset:
Communication Skills and Time Management as the Predictors of Student Motivation

This study examines free time management and communication skills as the predictors of university students’ motivation. The study sample includes 610 undergraduate students in a variety of programs. Of the 610 students, 441 are female, 169 are male, and the mean age is 20.1 years. Their GPA averages range from 1.83 to 3.96 on a 4.0 scale. Data collection tools included three instruments. The relationship between university students' communication skills, free time management, and motivation levels are determined using correlation analysis and multiple regression analysis. The findings show that there are positive and meaningful relationships between students' motivation and the subscales of communication skills and free time management. These subscales include goal setting and technique, free time attitude, scheduling, evaluating, respect, ability of expression, desire, democratic attitude, value, and obstacles. In addition, a regression analysis shows that students’ motivation is predicted by their free time management and communication skills.
Field Capture of Male Oriental Fruit Flies (Diptera: Tephritidae) in Traps Baited with Solid Dispensers Containing Varying Amounts of Methyl Eugenol

Detection of invasive populations of Bactrocera dorsalis relies on traps baited with the male-specific attractant methyl eugenol. Standard protocol involves applying 5 mL of liquid methyl eugenol (1% naled) to a cotton wick, which is then placed inside a Jackson trap. Because of the lure’s high volatility, the lure is replaced every 6 wk. Prolonging the lure’s longevity would increase trap servicing intervals and reduce associated costs. Conducted at 2 sites in Hawaii, the present study investigated the performance of weathered solid dispensers containing 3, 6, or 10 g of methyl eugenol, deployed with solid insecticidal strips, relative to freshly baited liquid-bearing cotton wicks. At the cooler site, the solid lure/toxicant combination captured as many males as the fresh liquid formulation for as long as 12 wk. At the warmer site, the solid lure/toxicant system had shorter longevity, apparently owing to the reduced effectiveness of the insecticidal strip over time. Sumario La deteccion de poblaciones invasoras de Bactrocera dorsalis se basa en trampas cebadas con el atrayente metil eugenol especifico para los machos. El protocolo estandar implica la aplicacion de 5 mL de metil eugenol liquido (naled al 1%) a una mecha de algodon, que luego se coloca dentro de una trampa Jackson. Se reemplaza el senuelo cada 6 semanas debido a la alta volatilidad del senuelo. Al prolongar la longevidad del senuelo aumentaria los intervalos de mantenimiento de las trampas y reduciria los costos asociados. Realizado en 2 sitios en Hawai, el presente estudio investigo el rendimiento de dispensadores de solidos desgastados que contienen 3, 6, o 10 g de metil eugenol, desplegados con tiras insecticidas solidas, en relacion con mechas de algodon con liquido recien cebado. En el lugar mas fresco, la combinacion de senuelo solido/toxico capturo tantos machos como la formulacion liquida fresca durante un periodo de hasta 12 semanas. En el sitio mas calido, el sistema de senuelo solido/toxico tuvo una longevidad mas corta, aparentemente debido a la menor efectividad de la tira de insecticida con el tiempo. Key Words: Bactrocera dorsalis; invasive species; male lure; detection View this article in BioOne
Implementation of Mathematics Learning-Assisted Cabri 3D Software to Improve Spatial Ability of High School Students on Three Dimensional Geometry

The purpose of this study to analyze student’s spatial abilities to resolve 3D geometry problems through mathematics learning-assisted using Cabri 3D software. The population in this study were students from one of High School Student in Kuningan, West Java. Selection of sample by purposed random sampling, the experimental class is taught mathematics learning-assisted using Cabri 3D, while the control class is taught by conventional learning. This study was quasi-experimental with pretest and posttest control group design. Data analysis using two way anova by linking between learning model with gender factor and early mathematical abilities (KAM). Based on the results; (1) The enhancement of student’s spatial abilities through Cabri 3D was higher than the conventional learning; (2) based on gender, there were no significant effect of student’s spatial abilities who exposed with Cabri 3D and conventional learning; (3) based on KAM, there was significant effect of student’s spatial abilities among ability of high, middle, and low KAM. The differences occur between high, middle and low KAM. (4) based on the questionnaire results, students ‘responses to the positive Cabri 3D positive model, as much as 73.85% agree that learning Cabri 3D can improve understanding, interest and students’ abilities to learn the concept of 3 dimensional geometry. Based on this result, mathematics learning-assisted Cabri 3D can be applied in the process of mathematics learning in high School.
Boosting an anapole mode response through electromagnetic interactions beyond near-field limit in individual all-dielectric disk-ring nanostructures

Anapole modes of all-dielectric nanostructures hold great promise for many nanophotonic applications. However, anapole modes can hardly couple to other modes through far-field interactions, and their near-field enhancements are dispersed widely inside the nanostructures. These facts bring challenges to the further increasing of the response of an anapole mode. Here, we theoretically show that an anapole mode response in a dielectric nanostructure can be boosted through electromagnetic interactions with the coupling distance of a wavelength scale, which is beyond both the near-field and far-field limits. The all-dielectric nanostructure consists of a disk holding an anapole mode and a ring. Both analytical calculations and numerical simulations are carried out to investigate the electromagnetic interactions in the system. It is found that the electric dipoles associated with the fields of the anapole mode on the disk undergo retardation-related interactions with the electric dipoles associated with the ring, leading to the efficiently enhanced response of the anapole mode. The corresponding near field enhancement on the disk can reaches more than 90 times for a slotted silicon disk-ring nanostructure, where the width of the slot is 10 nm. This enhancement is about 5 times larger than that of an individual slotted disk. Our results reveal the greatly enhanced anapole mode through electromagnetic couplings in all-dielectric nanostructures, and the corresponding large field enhancement could find important applications for enhanced nonlinear photonics, near-field enhanced spectroscopies, and strong photon–exciton couplings.
Metal-Loaded Mesoporous MCM-41 for the Catalytic Wet Peroxide Oxidation (CWPO) of Acetaminophen

MCM-41 based catalysts (molar ratio Si/Al = 40) were prepared by a hydrothermal route, modified by ionic exchange with different metals (Cu, Cr, Fe and Zn) and finally calcined at 550 °C. The catalysts were fully characterized by different techniques that confirmed the formation of oxides of the different metals on the surfaces of all materials. Low-angle X-ray diffraction (XRD) analyses showed that calcination resulted in the incorporation of metallic Zn, Fe and Cr in the framework of MCM-41, while in the case of Cu, thin layers of CuO were formed on the surface of MCM-41. The solids obtained were tested in the catalytic wet peroxide oxidation (CWPO) of acetaminophen at different temperatures (25–55 °C). The activity followed the order: Cr/MCM-41 ≥ Fe/MCM-41 > Cu/MCM-41 > Zn/MCM-41. The increase of the reaction temperature improved the performance and activity of Cr/MCM-41 and Fe/MCM-41 catalysts, which achieved complete conversion of acetaminophen in short reaction times (15 min in the case of Cr/MCM-41). Fe/MCM-41 and Cr/MCM-41 were submitted to long-term experiments, being the Fe/MCM-41 catalyst the most stable with a very low metal leaching. The leaching results were better than those previously reported in the literature, confirming the high stability of Fe/MCM-41 catalysts synthesized in this study.
Underthrusting of the Tarim Lithosphere Beneath the Western Kunlun Range, Insights From Seismic Profiling Evidence

Uplift of the western Kunlun range results from the Indian indentation into Eurasia and induced underthrusting of the Tarim lithosphere. This underthrusting keeps pace with migration of the western Kunlun foreland basin. The basin‐scale sequences provide a decipherable record of the migration. To quantify the underthrusting, we analyzed a ∼323.2‐km‐long seismic profile crossing the middle segment of the western Kunlun foreland. We traced seismic reflectors to investigate the architecture of the foreland sequences and assigned ages of reflectors by correlating them with the dated outcropping sections. The foreland sequences consist of four layers. The lowermost Layer 1 starts to lap on the preforeland unit at ∼40 Ma, indicating that the Cenozoic western Kunlun initiated slightly prior to ∼40 Ma. Layer 2 shows a large sharp step northward to exceed the forebulge at ∼25 Ma, suggesting that the modern geomorphology of the Tarim Basin took shape. The southwestern boundary of Layer 4 migrates northeastwards by a fold row relative to that of Layer 3. The gradual retreat of reflector terminations from ∼40 to ∼30 Ma suggests that the Tarim lithosphere is viscoelastic. The linear fitting of the forelandward envelop of reflector termination sites since ∼30 Ma indicates that the Tarim lithosphere underthrusted at an average rate of ∼8.18 mm/yr. This rate comprises the shortening rate of ∼3.8–5.7 mm/yr and the western Kunlun latitudinal propagation rate of ∼4.4–2.5 mm/yr. The abrupt increase in sedimentation rate since ∼11 Ma suggests that western Kunlun had reached its current elevation.
Numerical Modeling of Two‐Dimensional Hydrodynamics in a Highly Curving and Actively Evolving Neck Cutoff Under Different Hydrologic Conditions

Neck cutoffs are a common morphologic feature of meandering rivers though their occurrence on natural rivers is intermittent. Morphologic adjustments following cutoff initiation are typically rapid making detailed field investigations of the interactions between flow and form challenging. However, numerical models can offer insights into the hydrodynamic characteristics within the early stages of cutoff evolution. Field measurements of channel bathymetry and three‐dimensional velocities were collected during the first two years of morphologic change for a neck cutoff on the White River in Arkansas, USA. These data were used to calibrate a two‐dimensional numerical model to investigate the influence of hydrologic variability on the hydrodynamic characteristics of neck cutoffs during the early stages morphologic adjustment. The modeling results reveal complex patterns of the two‐dimensional flow field, including multiple regions of flow separation and recirculation related to strong redirection of the flow nearly 180 degrees through the cutoff. These regions of recirculation are also shown to vary depending on discharge conditions and affect hydrologic connectivity between the main channel and abandoned bend. Model results for the initial cutoff morphology show a substantial portion of discharge still conveyed by the original bend for all three discharge scenarios, resulting in a shear layer within the downstream limb of the site that limits advection of high‐momentum fluid against the bank opposite of the cutoff. The findings from this investigation are among the first detailed flow structure studies during the initiation of a neck cutoff and are used to improve conceptual models for cutoff dynamics.
PENGARUH PERSEPSI PELAKU USAHA MIKRO KECIL DAN MENENGAH TENTANG AKUNTANSI, PENGETAHUAN AKUNTANSI, DAN SKALA USAHA TERHADAP PENGGUNAAN INFORMASI AKUNTANSI

Penelitian ini bertujuan untuk mengetahui: (1) pengaruh persepsi pelaku UMKM tentang akuntansi terhadap penggunaan informasi akuntansi, (2) pengaruh pengetahuan akuntansi terhadap penggunaan informasi akuntansi, (3) pengaruh skala usaha terhadap penggunaan informasi akuntansi. Jenis penelitian ini adalah penelitian kausal. Subjek penelitian ini adalah pelaku UMKM di Kota Tangerang sebanyak 99 pelaku UMKM. Metode pengambilan sampel penelitian menggunakan Proportional Random Sampling . Teknik pengumpulan data menggunakan kuesioner. Uji validitas dan reliabilitas dilakukan terhadap 30 orang di luar subjek penelitian. Statistik uji yang digunakan adalah merancang model struktural, merancang model pengukuran, membangun diagram alur, menguji model yang sesuai. Uji kesesuaian model struktural dan hipotesis menggunakan perangkat lunak SmartPLS 3.0 . Hasil penelitian menunjukkan bahwa persepsi pelaku UMKM tentang akuntansi memiliki pengaruh yang positif signifikan terhadap penggunaan informasi akuntansi. Skala usaha berpengaruh positif signifikan terhadap penggunaan informasi akuntansi. Dan pengetahuan akuntansi memiliki pengaruh positif signifikan terhadap penggunaan informasi akuntansi
Implementation of the UTAUT Model to Understand the Technology Adoption of MOOC at Public Universities

MOOC is a national agenda in the institutions as it is addressed in the 11th Malaysian Plan, the National Economic Model, Economic Transformation Programme and the Malaysian Education Blueprint. Recently, have witnessed the development of massive open online courses (MOOCs) as a learning trend in the field of open distance education and online learning. As it is considering new technology for us, a research towards its acceptance is essential. This study examines the adoption of MOOC deployment among students at Universiti Kebangsaan Malaysia (UKM). The survey was used in this research where data were collected from 400 respondents and then analysed using Structural Equation Modelling (PLS-SEM). The findings were obtained based on Unified Theory of Acceptance and Use of Technology (UTAUT) model. The result shows that performance expectancy, effort expectancy, social influence and facilitating condition have influenced the respondents to use MOOC in their learning. This research exposed that the UTAUT factors implemented in this study have a significant effect to behavioural intention in order students use MOOC technology. It illustrates the positive impact of these technologies and beneficial to understand the MOOC adoption for all students, especially at public universities and in the area of online learning perspective.
Investigating Health-Related Features and Their Impact on the Prediction of Diabetes Using Machine Learning

Diabetes Mellitus (DM) is one of the most common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of its medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient with only a handful of features can allow cost-effective, rapid, and widely-available screening of diabetes, thereby lessening the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic patients and compare the role of HbA1c and FPG as input features. By using five different machine learning classifiers, and using feature elimination through feature permutation and hierarchical clustering, we established good performance for accuracy, precision, recall, and F1-score of the models on the dataset implying that our data or features are not bound to specific models. In addition, the consistent performance across all the evaluation metrics indicate that there was no trade-off or penalty among the evaluation metrics. Further analysis was performed on the data to identify the risk factors and their indirect impact on diabetes classification. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing analysis of the disease using selected features, important factors specific to the Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learned from this research.
Bibliometric Analysis of Trends in Theory-related Policy Publications

This study's bibliometric analysis evaluates the scope and trends of theory-related policy publications in various international journals. The method used the Scopus search engine on random journals in identifying policy-related publications. The study also used a data visualization software called VOSviewer to analyze the results, underlying network linkages, and information production trends in policy analysis. The findings shows that only a few proportions of policy-related researches apply theories in their study. Field-specialized journals were having practitioners publish less research as compared to interdisciplinary science and technology journals. This article calls for greater engagements among scholars, and for policy researchers to more explicitly consider how their work might contribute to the understanding of the policy challenges. The findings also shows that it is important to recognize the approach and theory behind policy development to determine the incremental nature of aspects involved in policy development. It is extremely valuable to be clear that if one deals only with conceptual level of policy research without testing those ideas against independent empirical information, then scientific theory development is not possible. Thus, failure to consistently and clearly make theory connection towards policy research is a lost opportunity for scholars to influence policy thinking and public argument. Doi: 10.28991/esj-2021-01261 Full Text: PDF
Improving the Physical and Chemical Properties of a Disturbed Soil Using Drying-bed Biosolids

ABSTRACT Disturbed soils might be improved by increasing organic matter content. The objective of this study was to determine if a large application of drying-bed biosolids would improve soil productivity and promote bermudagrass (Cynodon dactylon) and establishment on the Trinity clay soil. Anaerobically digested, air-dried biosolids were applied to Trinity clay (very-fine, montmorillonitic, thermic, typic, pelludert) at rates of 0, 112, 560, and 1120 Mg ha−1. The biosolids were incorporated into the top 15 cm of the soil and bermudagrass sprigs were planted. Biosolids significantly reduced soil bulk density and soil resistance to penetration when measured during the second and third years after the application. Biosolids increased soil concentrations of organic carbon, nutrients (nitrogen, phosphorus, copper, zinc, iron) and heavy metals (cadmium, chromium, nickel, lead). Bermudagrass biomass production and nutrient uptake were increased due to biosolids, but heavy metals were not significantly transferred from soil to above-ground plant tissue.
Liquid-Phase Removal of Methylene Blue as Organic Pollutant by Mesoporous Activated Carbon Prepared from Water Caltrop Husk Using Carbon Dioxide Activation

In this work, a mesoporous activated carbon (AC) was prepared from a unique lignocellulosic biomass (water caltrop husk) in triplicate using a single-step physical activation process at lower temperature (i.e., 750 °C) and longer holding time (i.e., 90 min). Based on the pore properties and adsorption properties for removal of methylene blue (MB) as organic pollutant, the results proved that the resulting AC possesses a mesoporous feature with the Brunauer–Emmett–Teller (BET) surface area of 810.5 m2/g and mesopore volume of about 0.13 cm3/g. Due to its fast adsorption rate and maximal adsorption capacity fitted (126.6 mg/g), the mesoporous carbon material could be used as an excellent adsorbent for liquid-phase removal of MB. In addition, the pseudo-second-order model is well suited for describing the adsorption system between the cationic adsorbate and the resulting AC with oxygen surface groups.
The positive association between natural vegetation, native coccinellids and functional diversity of aphidophagous coccinellid communities in alfalfa

A greater taxonomic and functional diversity of natural enemies in agroecosystems is frequently positively associated with more effective pest control, due to the complementarity of species or traits. But this diversity has declined with landscape homogenisation and loss of natural covers, particularly losing native species, which play an important role in pest suppression within crops. We evaluated the effect of landscape on coccinellid communities and aphids, and the relative contribution of coccinellids and aphids in shaping taxonomic and functional diversity of coccinellid communities in alfalfa fields. We characterised the landscape at 1 km radius surrounding 17 alfalfa fields, and the taxonomic and functional diversity of coccinellid communities collected throughout the season in alfalfa. Functional diversity indices considered four traits: body size, habitat specialisation, ubiquity and temporal variability. We found a positive association among native coccinellids in alfalfa and the amount of natural cover in the landscape, while aphids positively associated with agricultural cover. Also, we found a positive association among functional and taxonomic diversity indices with native coccinellids, and a negative association with exotics, demonstrating the contribution of native coccinellids in adding taxonomic and functional diversity to the aphidophagous communities in alfalfa fields. Aphids also associated positively with some functional and taxonomic diversity indices. Our results highlight the need to promote appropriate management practices in agricultural landscapes in order to conserve native coccinellid species in alfalfa, maintain a diversified species pool and their potential for aphid pest suppression.
Denitrification of water using a low-cost adsorbent

The recent studies about water quality indicated a clear increase in the concentrations of many pollutants in the sources of freshwaters, such as nitrate, phosphate, and inorganic pollutants. This increase is attributed to the expansion of the global population, industries, and climate changes. These studies represented a call for the need for efficient treatment for water and wastewater. The current study investigates the possibility of using activated red mud (ARM) as an adsorbent to eliminate nitrates from water/wastewater. The operational parameters such as treatment times, pH, and doses of ARM were tested to assess their effects on the Nitrate removability by ARM. The optimum treatment times, pH, and dose for best removal within this study were 60 min, 7, and 75 g/L for treatment times, pH, and doses, respectively. Freundlich and Langmuir isotherm models and kinetic models including the pseudo-first-order, the pseudo-second-order, and interparticle diffusion using non-linear regressions were utilized to analyze the observed data which were gained from batch equilibrium tests. The obtained results revealed that the equilibrium data have good and reasonable fitness and agreement with the Langmuir isotherm models. The highest adsorption capacity of ARM was 1.79423925mg/g. The maximum percentage of removal was found to be about 71% at ambient temperature.