Miracle-dz/UniFAR-FTUs huggingface dataset:
The pH Dependency of 2,4-Dichlorophenoxyacetic Acid Adsorption and Desorption in Andosol and Kaolinite

Abstract Batch adsorption and consecutive desorption experiments were performed under different pH conditions to assess the pH dependency of 2,4-dichlorophenoxyacetic acid (2,4-D) adsorption and desorption in Andosol (having pH-dependent surface charge characteristics) and kaolinite. The adsorption-desorption isotherms for both Andosol and kaolinite were well fitted by the Freundlich isotherm model. Adsorption of 2,4-D onto Andosol increased markedly with decreasing pH and was higher than for kaolinite under the same pH condition. Hysteresis, expressing the nonsingularity of the desorption compared with the adsorption isotherm, was found at all concentrations and each pH for both Andosol and kaolinite. For Andosol, the fitted Freundlich parameters for desorption, Kf,d and nd, showed a negative, linear and a positive, exponential relationship, respectively, with pH. Higher hysteresis index (&ohgr;), expressing the degree of partial irreversibility of 2,4-D adsorption, was obtained under lower pH, indicating that less adsorbed 2,4-D was released back from the Andosol under acidic condition. The effect of pH on 2,4-D desorption from kaolinite was less pronounced as compared with Andosol. Combining the measured data in this study with previously reported data on 2,4-D adsorption-desorption in several types of soil including Andosols, the possible mobility of adsorbed 2,4-D in soil was evaluated. Results show that adsorbed 2,4-D in soils exhibiting a total adsorption percentage of less than 55% of the applied pesticide typically exhibited a greater potential to be mobile in the soil-water system. Opposite, a total adsorption percentage greater than 55% implied higher residual adsorption and a prolonged existence of adsorbed 2,4-D in the soils.
The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2

Air quality modeling for research and regulatory applications often involves executing many emissions sensitivity cases to quantify impacts of hypothetical scenarios, estimate source contributions, or quantify uncertainties. Despite the prevalence of this task, conventional approaches for perturbing emissions in chemical transport models like the Community Multiscale Air Quality (CMAQ) model require extensive offline creation and finalization of alternative emissions input files. This workflow is often time-consuming, error-prone, inconsistent among model users, difficult to document, and dependent on increased hard disk resources. The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module, a component of CMAQv5.3 and beyond, addresses these limitations by performing these modifications online during the air quality simulation. Further, the model contains an Emission Control Interface which allows users to prescribe both simple and highly complex emissions scaling operations with control over individual or multiple chemical species, emissions sources, and spatial areas of interest. DESID further enhances the transparency of its operations with extensive error-checking and optional gridded output of processed emission fields. These new features are of high value to many air quality applications including routine perturbation studies, atmospheric chemistry research, and coupling with external models (e.g., energy system models, reduced-form models).
Instagram Advertising among Young Consumers in Wearable Fitness Trackers: The Moderating Role of Technology Acceptance Factors

Abstract The main focus of research studies assessing consumers’ attitudes toward advertising has shifted to social media platforms, replacing traditional advertising. In this regard, Instagram is considered one of the most popular social media platforms, with a global user base of 700 million active users. The purpose of this paper is to investigate the key factors that affect young consumers’ attitudes toward the digital advertising of fitness trackers on Instagram. The study is based on the self-administered survey questionnaire responses collected from young Indian consumers. Structural Equation Modeling has been used to analyze direct and moderating effects. The obtained results found that variables such as informativeness of Instagram advertising, perceived usefulness, and perceived ease of use of fitness trackers play a central role in developing respondents’ attitudes. This study pioneers in providing empirical evidence revealing the moderating effect of perceived usefulness and perceived ease of use on the relationship between advertising value factors and consumers’ attitudes toward advertising. The present study also offers valuable insights for marketers to design social media communication strategies on Instagram, showcasing the ease of use and utility of fitness trackers while delivering entertaining values.
High performance liquid chromatographic assays with UV-detection for evaluation of inhibitors of acetylcholinesterase and butyrylcholinesterase

Abstract Acetylcholinesterase (AChE) and butyrylcholinesterase (BuChE) are considered as viable targets in the treatment of Alzheimer’s disease and other dementias. However, since clinically used AChE or dual AChE/BuChE inhibitors only provide some symptomatic treatment and lose their therapeutic effectiveness over time, in the last years an intensive search for multi-target compounds has started, which address additional targets besides AChE and BuChE, like endocannabinoid degrading enzymes. For the evaluation of the AChE and BuChE inhibitory potency of the test compounds in such drug development projects, usually the traditional Ellman’s method is used. Since this method has some analytical drawbacks, we have developed alternative robust HPLC/UV based assays using pyridin-2-ylmethyl acetate as substrate for AChE and benzoylcholine for BuChE. The enzyme products pyridin-2-ylmethanol and benzoic acid, respectively, were determined by reversed phase HPLC adding the ion pair reagent sodium octane-1-sulfonate to the mobile phase in case to the polar pyridine derivative. AChE from electric eel, human recombinant AChE and BuChE from equine serum were employed as enzymes. For method validation, the IC50-values of the known AChE and BuChE inhibitors physostigmine, rivastigmine and tacrine were measured. The obtained data were within the very wide range of the IC50-values given in the literature for these compounds. Graphical Abstract
Managing Personalized and Adapted Medical Learning Objects

Medical learning objects deviates from traditional notion of learning object in that it is always in a digital form and relates to medication. They may include text, images, sound and video. They are introduced in order to facilitate the employees of healthcare sector and patients. In this article, we illustrate how medical learning objects can be personalized according to the user knowledge and adapted according to the working process in which the learning object is invoked. We believe that by introducing personalized and adapted medical learning objects we can optimally develop e-learning processes for healthcare sector that are just-in-time and are tailored to their specific needs. A problem of this approach is that the system has to support many variations of a medical learning object. We have solved this problem by producing the variations by the XSLT-transformations of the learning objects, which are processed when the learning object is invoked.
From Challenges to Creativity: Enhancing SMEs’ Resilience in the Context of COVID-19

COVID-19 pandemic has brought significant and multiple challenges for SMEs. While SMEs have traditionally faced financial and non-financial crises, the pandemic has brought about additional uncertainties on how to maintain business continuity. The purpose of this paper is to examine how SMEs can mitigate against COVID-19-related crisis by examining the impacts that the pandemic has had on them through a review of 34 articles. The thematic analysis from the literature covered three overarching and inter-related challenges including (i) cost and finance-related challenges, (ii) disruption of activities, and (iii) existential difficulties. The paper’s value lies in addressing the gap between the espoused literature’s claim of the beneficial impact of new technological advancements and SMEs’ ability to survive in the context of the COVID-19 pandemic. The additional value of this paper is a framework of recommendations to help enhance SMEs’ resilience and responsiveness in the context of COVID-19. These recommendations include collaboration, openness, taking advantage of opportunities/victory, and durability.
Lowering the Band Gap of Anatase-Structured TiO2 by Coalloying with Nb and N: Electronic Structure and Photocatalytic Degradation of Methylene Blue Dye

Anatase phase TiO2 and related alloyed TiO2:N and TiO2:Nb congeners have been prepared by sol–gel processing techniques. The coalloyed TiO2:(Nb,N)-1 composition, in which niobium substitutes for titanium on the cation sublattice and nitrogen appears in either chemisorbed or interstitial sites as well as substitutes for oxygen on the anion sublattice, has also been prepared. EPR spectroscopy performed on the coalloyed material at 4 K shows that the bulk material contains minor impurities of Ti3+ and F+ centers. Annealing this compound under oxygen oxidizes the material to give TiO2:(Nb,N)-2, which is EPR silent. All alloyed compositions show surface areas of 41–68 m2/g, different from the 2 m2/g for TiO2. In addition, the monoalloyed compounds show band gaps that are not significantly different than that of the parent TiO2 composition (3.2 eV), whereas the coalloyed compound TiO2:(Nb,N)-1 shows a significantly lower energy absorption edge of 2.0 eV. Each composition was tested for its ability to photodegra.
Perbandingan Convolution Neural Network Untuk Klasifikasi Kesegaran Ikan Bandeng Pada Citra Mata

Ikan merupakan salah satu sumber protein hewani dan sangat diminati masyarakat Indonesia, dari survey bahan makanan yang diminati, bandeng peringkat keempat dibanding bahan makanan yang lain. Khususnya ikan bandeng, ikan ini menjadi satu dari enam ikan yang banyak dikonsumsi masyarakat selain tongkol, kembung, teri, mujair dan lele, maka ketelitian masyarakat ketika membeli ikan bandeng menjadi perhatian serius dalam memilih ikan bandeng segar. Deteksi kesegaran dengan menyentuh tubuh ikan dapat mengakibatkan kerusakan tanpa disengaja, maka deteksi kesegaran ikan harus dilakukan tanpa menyentuh ikan bandeng dengan memanfaatkan citra kondisi mata. Dalam riset ini, kami melakukan eksperimen implementasi klasifikasi kesegaran ikan bandeng sangat segar dan tidak segar berdasarkan mata menggunakan transfer learning dari empat CNN, yaitu Xception, MobileNet V1, Resnet50, dan VGG16. Dari hasil eksperimen klasifikasi dua kelas kesegaran ikan bandeng menggunakan 154 citra menunjukkan bahwa VGG16 mencapai kinerja terbaik dibanding arsitektur lainnya dimana akurasi klasifikasi mencapai 0.97. Dengan akurasi lebih tinggi dibanding arsitektur lainnya maka VGG16 relatif lebih tepat digunakan untuk klasifikasi dua kelas kesegaran ikan bandeng. AbstractFish, one source of animal protein, is an exciting food for Indonesia's people. From a survey of food-ingredients demanded, milkfish are ranked fourth compared to other food-ingredients. Especially for milkfish, this fish is one of the six fish consumed by Indonesia's people besides tuna, bloating, anchovies, tilapia, and catfish, so the exactitude of the people when buying is a severe concern in choosing fresh milkfish. Detection of freshness by touching the fish's body may cause unexpected destruction, so detecting the fish's freshness should be conducted without touching using the eye image. In this research, we conducted an experimental implementation of freshness milkfish classification (vastly fresh and not fresh) based on the eyes using transfer learning from several CNNs, such as Xception, MobileNet V1, Resnet50, and VGG16. The experimental results of the classification of two milkfish freshness classes using 154 images show that VGG16 achieves the best performance compared to other architectures, where the classification accuracy achieves 0.97. With higher accuracy than other architectures, VGG16 is relatively more appropriate for classifying two classes of milkfish freshness.
“How it actually works”: Algorithmic lore videos as market devices

On YouTube, self-styled algorithmic experts claim to know how algorithms “actually work. ” However, their knowledge is largely speculative. Developing recent work that pays attention to algorithmic expertise, I argue that algorithmic lore videos are “market devices” which are economically productive for the platform in four ways: they (1) legitimize platform narratives of algorithmic objectivity, (2) teach creators how to calculate the value of content and format it according to platform metrics, (3) encourage creators to build and govern audiences, and (4) justify continued content production even when it does not pay off for creators. Thus, despite claiming to describe “how the algorithm actually works,” algorithmic lore videos are performative; by teaching creators how to understand and act in the platform economy they do important work to bring the platform’s “visibility markets”—its labor market of content creators engaging in content production and its goods market of content to be watched—into being.
Quercetin-gold nanorods incorporated into nanofibers: development, optimization and cytotoxicity

Herein, a polymeric nanofiber scaffold loaded with Quercetin (Quer)–gold nanorods (GNR) was developed and characterized. Several parameters related to loading Quer into GNR, incorporating the GNR-Quer into polymeric solutions, and fabricating the nanofibers by electrospinning were optimized. GNR-Quer loaded into a polymeric mixture of poly(lactic-co-glycolic acid) (PLGA) (21%) and poloxamer 407 (23%) has produced intact GNR-Quer-nanofibers with enhanced physical and mechanical properties. GNR-Quer-nanofibers demonstrated a slow pattern of Quer release over time compared to nanofibers free of GNR-Quer. Dynamic mechanical thermal analysis (DMTA) revealed enhanced uniformity and homogeneity of the GNR-Quer-nanofibers. GNR-Quer-nanofibers demonstrated a high ability to retain water upon incubation in phosphate buffer saline (PBS) for 24 h compared to nanofibers free of GNR-Quer. A cellular toxicity study indicated that the average cellular viability of human dermal fibroblasts was 76% after 24 h of exposure to the nanofibers containing a low concentration of GNR-Quer.
THE EXAMINATION OF PERCEIVED ORGANIZATIONAL SUPPORT (POS), ORGANIZATIONAL CYNICISM AND COUNTER PRODUCTIVE WORK BEHAVIOR (CWB) IN PUBLIC EMPLOYEES: INTERGROUP GAP ANALYSIS

Public organizations in Turkey adopted working principles such as citizen-orientation, transparency, accountability, efficiency and effectiveness with Law No. 5018 Public Financial Management and Control Law in parallel with the new development trends of giving up the traditional understanding of public administration. The most important factor is human capital in public organizations aiming at ensuring citizen satisfaction. In this article; levels of organizational cynicism, perceived organizational support, of public employees and their counter-productive work behaviors (CWB) were analyzed according to demographic variables (age, marital status, working time, education level, service period, service class). According to results of the analysis, significant differences were found for each variable in one or more scales. The results of this research indicates that should take measures to increase POS and reduce organizational cynicism in order to reduce and/or eliminate the CWB. So, Civil Servants Law No 657 (DMK), to which civil servants are subject, should be reformed by increasing effectiveness of merit system which is already an element of Law no 657. In this context, it should be remembered that not only competence and expertise, but also ethics and moral are an element of merit. When considering in the macro sense, merit constitutes one of the basic building blocks for the development and growth of a country in terms of both public and private sector functioning.
An Overview of Fully Integrated Switching Power Converters Based on Switched-Capacitor versus Inductive Approach and Their Advanced Control Aspects

This paper reviews and discusses the state of the art of integrated switched-capacitor and integrated inductive power converters and provides a perspective on progress towards the realization of efficient and fully integrated DC–DC power conversion. A comparative assessment has been presented to review the salient features in the utilization of transistor technology between the switched-capacitor and switched inductor converter-based approaches. First, applications that drive the need for integrated switching power converters are introduced, and further implementation issues to be addressed also are discussed. Second, different control and modulation strategies applied to integrated switched-capacitor (voltage conversion ratio control, duty cycle control, switching frequency modulation, Ron modulation, and series low drop out) and inductive converters (pulse width modulation and pulse frequency modulation) are then discussed. Finally, a complete set of integrated power converters are related in terms of their conditions and operation metrics, thereby allowing a categorization to provide the suitability of converter technologies.
The Effect of Students’ Academic Majors on Practice of E-Shopping of Clothing

Identifying good clothes needs knowledge and experience, and the academic major plays an important role when it comes to selection of clothes. This research aims to examine the effect of difference in students’ academic majors on practice of e-shopping of clothes. The study has applied the experimental approach using a questionnaire comprised of 27 questions targeting (200) students from various academic majors. The data were analyzed using the (SPSS) program. To verify the hypotheses of the study, the Chi Square Test was used at a level of statistical significance (0.05) to ensure that the difference in the students’ academic major may affect the study variables. It was found that there are statistically significant differences at a significant level (0.05) in favor of female students from Fashion and Textiles major in terms of feasibility of e-shopping over other majors. Fashion and Textiles students were found to be more interested in examining the raw materials of clothes and accuracy and cleanliness of knitted clothes; they rarely return clothes after purchasing, can determine the best choice for body style from among similar designs compared to female students of other academic majors, and finally they can make adjustments to the clothes after purchasing it, and add some aesthetic touches to increase its value of appearance compared to female students of other academic majors.
Cultural Capital and Opportunities for Exceptionalism: Bias in University Admissions

ABSTRACT This study illuminates how common holistic admissions practices at so-called “elite” colleges and universities favor high-SES, high wealth applicants through the ways they define and consider “exceptional” performance in extracurricular activities. While many studies have established advantages to high-income applicants based on school resources, standardized testing, and myriad other factors, few have examined the consideration of exceptional performance in extracurriculars. Drawing on higher education literature and Bourdieu’s theory of cultural capital, and utilizing high school and college athletics data, the authors introduce and corroborate a mathematical model that illuminates the accumulated advantages to wealthy students on three fronts: opportunity, specialization (i.e., breadth of options available), and support. While this paper focuses on elite athletics as one example of exceptional performance, it also explores the usefulness of the model for understanding how “race-neutral” admissions systematically advantage high-income—and white—students.
High speed driving stability of road vehicles under crosswinds: an aerodynamic and vehicle dynamic parametric sensitivity analysis

Crosswinds affect vehicle driving stability and their influence increase with driving speed. To improve high speed driving stability, interdisciplinary research using unsteady aerodynamics and vehicle dynamics is necessary. The current demands of faster development times require robust virtual methods for assessing stability performance in early design phases. This paper employs a numerical one-way coupling between the two disciplines and uses a variety of realistic crosswind gust profiles for the aerodynamic simulations to output representative forces and moments on three vehicle dynamic models of different fidelity levels, ranging from a one-track model to a full multi-body dynamic model of a sports utility vehicle. An investigation on required model fidelity was conducted along with a sensitivity study to find key aerodynamic and vehicle dynamic characteristics to minimise the yaw velocity and lateral acceleration response during crosswinds. Transient aerodynamic simulations were used to model crosswind gusts at high speeds. Analysis of the forces and moments showed that rapid changing gusts generate overshoots in the yaw moment, due to the phase delay of the flow between the front and rear of the vehicle. A methodology for modelling this phase delay is proposed. The response of the vehicle was captured equally well by the enhanced model (mid-level fidelity) and the full multi-body dynamic model, while the simplest one-track model failed to emulate the correct vehicle response. The sensitivity study showed the importance of the positioning of the centre of gravity, the aerodynamic coefficient of yaw moment, wheel base, vehicle mass and yaw inertia. In addition, the axles' side force steer gradients and other suspension parameters revealed potential in improving crosswind stability.
A folded higher‐mode slot antenna with enhanced bandwidth and radiation pattern reshaping

In this article, an approach to reshape the radiation pattern of the 1. 5λ‐mode of the slot antenna is proposed. Unlike previous works on slot antenna operating at the fundamental mode with a broadside radiation performance, the proposed slot antenna holds four symmetric radiation beams by resonating at its radiative λ‐ and 1. 5λ‐mode. Initially, by folding the straight slot radiator at one short‐ended terminal, radiation patterns in H‐plane of the 1. 5λ‐mode could be significantly reshaped from the broadside beam into four symmetric radiation beams, while that of the λ‐mode almost remains unchanged. Then, a pair of slot stubs is symmetrically introduced to further improve the bandwidth of multibeam radiation performance. An antenna prototype is finally fabricated and measured to validate the predicted performance. Good agreement between the simulated and measured results is observed. The antenna operates in a frequency range of 3.64 to 3.96 GHz with S11 lower than − 10 dB under dual‐mode resonance. And four symmetric beams for radiation have been successfully obtained at the directions of 40°, − 40°, 140°, and − 140° with respect to the broadside direction across the whole operating bandwidth.