Real Media Research Articles

Highly sensitive electrochemical detection of ciprofloxacin using MXene (Ti3C2Tx)/poly (rutin) composite as an electrode material

Ciprofloxacin is a widely used antibiotic for treating numerous bacterial infections and it is also considered by the world health organization (WHO) to be extremely vital for human medicine. Therefore, accurate, simple, and cost-effective detection of ciprofloxacin, a commonly used antibiotic, is critical for treating various bacterial infectious diseases. In this work, glassy carbon electrode/poly (rutin)/Ti3C2Tx, is developed for the detection of ciprofloxacin antibiotic. The electrochemical sensor was modified with rutin hydrate monomer and Ti3C2Tx via electro-polymerization of rutin hydrate and drop-casting of Ti3C2Tx. The modified electrode surface was characterized using scanning electron microscopy, high-resolution transmission electron microscopy, attenuated total reflectance- Fourier transform infrared spectroscopy, and electrochemical impedance spectroscopy. The oxidation of ciprofloxacin was performed in 0.01molL−1 of phosphate buffer at a pH level of 5.0. This medium established a linear range of 1.0 × 10−9-1.0 × 10−4 molL−1, limit of detection at 1.0 × 10−9 molL−1 and sensitivity of 0.49 μA/μMcm2. Finally, the modified electrode displayed high selectivity when tested in inorganic-organic mixtures as well as in real sample medium such as blood serum. To the best of our knowledge the current work is the first to report the use of MXene/rutin composite for electrochemical sensing mechanism. The proposed electrochemical sensor has high potential for the formation of therapeutic drug doses application via monitoring of CIP patient intake (clinical settings of CIP).

Polarization optical properties of suspended particles measurement in water by a polarized Scheimpflug lidar system

The polarization optical properties of suspended particles in water play a pivotal role in numerical simulation or real water medium detection. Polarized multi-wavelength oceanic lidar provides an effective method for characterizing the size, shape, and concentration of suspended particles. In this paper, we present a concise and effective optical approach to measure the information in the polarization of the lidar signal with 0°, 45°, 90°, and 135° polarization angles of suspended particles by laboratory experiments based on polarized Scheimpflug lidar system. This work uses typical suspended particles with different sizes and shapes as tracer particles to analyze particulate polarization information. Experiments with spherical or irregular silicon dioxide particles show that these particles can be effectively distinguished by analyzing the polarization optical properties of the backward scattering light. The laboratory system can classify suspended particles and may serve as a shipborne oceanic lidar or be used with submersibles.

Distributed battery energy storage systems for deferring distribution network reinforcements under sustained load growth scenarios

Energy storage systems can be leveraged in electricity distribution network planning as mitigation alternatives to traditional grid reinforcements if they are strategically installed and operated to reduce congestion and voltage limit violations. This paper examines the technical and economic viability of distributed battery energy storage systems owned by the system operator as an alternative to distribution network reinforcements. The case study analyzes the installation of battery energy storage systems in a real 500-bus Spanish medium voltage grid under sustained load growth scenarios. The results show that, in general, dedicated battery energy storage systems are only a cost-efficient alternative in distribution system planning under very specific conditions, such as when low load growth rates are expected. Nevertheless, they are only required for peak shaving a few days per year. For the analyzed case study, the recoverable portion of their total cost through deferral of distribution system upgrades is higher than the fraction of cycles required for peak shaving under all sustained load growth scenarios. Therefore, it is also explored if mobile battery energy storage systems, capital grants, and revenue stacking can enable battery energy storage systems to become an efficient distribution system planning alternative.

A high-efficiency Q-compensated pure-viscoacoustic reverse time migration for tilted transversely isotropic media

The attenuation and anisotropy characteristics of real earth media give rise to amplitude loss and phase dispersion during seismic wave propagation. To address these effects on seismic imaging, viscoacoustic anisotropic wave equations expressed by the fractional Laplacian have been derived. However, the huge computational expense associated with multiple Fast Fourier transforms for solving these wave equations makes them unsuitable for industrial applications, especially in three dimensions. Therefore, we first derived a cost-effective pure-viscoacoustic wave equation expressed by the memory-variable in tilted transversely isotropic (TTI) media, based on the standard linear solid model. The newly derived wave equation featuring decoupled amplitude dissipation and phase dispersion terms, can be easily solved using the finite-difference method (FDM). Computational efficiency analyses demonstrate that wavefields simulated by our newly derived wave equation are more efficient compared to the previous pure-viscoacoustic TTI wave equations. The decoupling characteristics of the phase dispersion and amplitude dissipation of the proposed wave equation are illustrated in numerical tests. Additionally, we extend the newly derived wave equation to implement Q-compensated reverse time migration (RTM) in attenuating TTI media. Synthetic examples and field data test demonstrate that the proposed Q-compensated TTI RTM effectively migrate the effects of anisotropy and attenuation, providing high-quality imaging results.

실감형 미디어아트의 시각 의미 연구 - 디스트릭트(d’strict) 작품을 중심으로

The purpose of this study is to analyze the visual meaning of realistic media art. First, realistic media art, Roland Barthes' semiotics, and Bernd H. Schmitt's experiential marketing are the background of academic analysis. Second, after categorizing district works by category, the semiotic meaning of each work is analyzed, and five types of experiential marketing are analyzed. This study limited the scope of the study to the works that won the main prize at the ‘iF Design Awards in Germany from 2020 to 2024, and then conducted a case analysis in the commercial service sector and the art service sector. As a result of the study, it was found that both sectors are the same in that they take sensory marketing and emotional marketing, but there is a difference in that the commercial sector focuses on behavioral marketing and the art sector focuses on cognitive marketing. Finally, this study suggests a theoretical basis that can contribute to the development of realistic media art by combining the semantic function of the semiotic perspective with the experiential marketing strategy.

PERSEPSI MAHASISWA TERHADAP MEDIA PEMBELAJARAN MINI CULTIVATOR PADA MATERI ELEMEN MESIN

Starting from the limitations of real learning media in learning, this study aims to explore students' perceptions of the use of Mini Cultivator as a learning medium. The research method used is quantitative using the urgency, seriousness, and growth (USG) matrix. The data collection technique uses a questionnaire. The results of the study showed that students' perceptions on the aspect of media effectiveness received the highest priority with a percentage of 25.07%, followed by motivation at 25.06%, usefulness at 25.04%, and innovation at 24.81%. Students' positive perceptions of Mini Cultivator media are reflected in the results of the USG analysis. The results of the assessment on the "urgency" dimension indicate students' awareness of the importance of using Mini Cultivator in learning. The "usefulness" dimension shows that students see Mini Cultivator media not only as an addition, but as an important element in learning. The "development" aspect shows that Mini Cultivator media is relevant and closely related to the topic or concept being studied.

Asymmetric electric field structure boosts photocharge spatial separation and transfer to enhance antibiotics removal: In-situ construction and directed induction

The symmetric electric field structure within layered Bi-based photocatalysts hinders the long-distance transport and spatial separation of bulk photocharges. Herein, the BiOI/BiOIO3 heterostructures featuring a strong interfacial electric field were prepared through in-situ hydrothermal reduction, disrupting the symmetry of the internal electric field in pristine BiOIO3. The intrinsic polarization electric field ({0 1 0}) and the interfacial electric field ({0 0 1}) within the BiOI/BiOIO3 heterostructure directionally induced the separation and transport of photocharges along distinct pathways, significantly enhancing the dynamics of photogenerated charges and improving photocatalytic activity. Specifically, with the addition of 15 mL of glycol, the CBI-15 sample with a BiOI/BiOIO3 structure achieved a 75.5 % removal rate of tetracycline and a 99.1 % removal rate of sulfisoxazole, which were 1.50 and 1.23 times higher than those of BiOIO3, respectively. Furthermore, continuous flow degradation experiments using photocatalytic membranes (CBI-PVDF) in real water media demonstrated the promising potential of CBI-15 for antibiotic removal. This work presents a novel approach to the directional induction of photocharges separation and transfer, providing valuable insights for developing highly efficient photocatalysts aimed at antibiotic removal.

Political Deepfakes are as Credible as Other Fake Media and (Sometimes) Real Media

Political Deepfakes are as Credible as Other Fake Media and (Sometimes) Real Media

KEEFEKTIFAN MODEL PROBLEM-SOLVING BERBANTUAN MEDIA CROSSWORD PUZZLE TERHADAP PEMAHAMAN KONSEP SISWA PADA PEMBELAJARAN MATERI GAYA

This research aims to find out how science learning is implemented by applying the Problem-Solving Model assisted by Crossword Puzzle media in improving the quality of student learning at SDN Bandungan 01. The methodology used is quantitative and in the form of an experiment, namely quasi-experimental with the type of field study. Data collection techniques use population and sample techniques. And the data analysis technique used in this research is a data collection technique that uses a test technique of score results from the pretest and posttest. With concrete or real media, it is easy for students to find solutions to the problems given. The effort used to improve students' concept understanding is to apply a problem-solving learning model with the help of Crossword Puzzle media which will be collaborated with science and science learning materials. The conclusion of this research is that it can be concluded that the use of the problem solving model assisted by crossword puzzle media makes a significant contribution in increasing the conceptual understanding of fourth grade students at SD Negeri Bandungan 01.

Implementation of Child-Friendly School Environments at SMPN 6 Kandis, Siak Regency, Riau

The Government establishment of Child-Friendly Schools (CFS) enables the protection of children’s rights in the educational setting. Education institutions are required by CFS to provide protection, security, and comfort for students while they are enrolled in the institution. An examination of the CFS program’s implementation and its integration with the Environmental Literacy (Adiwiyata) and Mover School (a project to strengthen the profile of Pancasila students) Programs were conducted at SMPN 6 Kandis in Siak Regency, Riau. This study used observation sheets and interviews to obtain primary and secondary data at SMPN 6 Kandis. The observed implementation criteria consisted of younger siblings’ treatment of all students, a learning process that facilitated active learning, the learning process was supported by teaching media in the form of real, print, and electronic media, student involvement in intra- and extra-curricular activities, conducive class arrangement with a literacy corner and structuring the classroom environment with Information and Education Communication (IEC). Based on the requirements for the Child-Friendly School program’s implementation, data were analyzed descriptively. The study’s findings demonstrated that the CFS program at SMPN 6 Kandis in Siak Regency, Riau Province, has been effectively implemented. The implementation of the CFS program at SMPN 6 Kandis can also be seen from the implementation of the Adiwiyata (Environmental Literacy) and Mover School (a project to strengthen the profile of Pancasila students) programs. CFS is expected to be a manifestation of the convention rights of children in pursuing education. Keywords: Child-Friendly School, Children’s rights, Environmental Literacy Program, Mover School Program

Phosphate chelation over calcium impacts yeast growth and lipid production from short-chain fatty acids-rich media

Some oleaginous yeasts have the ability to produce microbial oils from alternative carbon sources, such as short-chain fatty acids (SCFAs). Nevertheless, there is still a lack of information about the possible effects that media nutrients have on yeast metabolisms when using SCFAs. For instance, inorganic phosphate (PO43-) has been reported to promote yeast growth in literature but its chelating effect over other elements such as calcium (Ca2+) is often not considered in fermentation processes while limitation of nitrogen is probably the most studied. Attending at the need to better understand the role of PO43-, this work assessed the lipid production capacity of Yarrowia lipolytica ACA DC 50109, both in synthetic and real SCFAs-rich media, at different SCFAs concentrations and PO43-:Ca2+ ratios. Reducing PO43-:Ca2+ ratio was identified to be an important factor to improve yeast growth, reaching the highest lipid content (52.7 ± 0.9 % w/w) and lipid yield (0.31 ± 0.01 w/w) in media without PO43-. These results demonstrated the importance of Ca2+ availability in the medium and nutrients interactions in yeast growth that are often underestimated.

Developing a novel ultraselective and ultrasensitive label-free direct spectrofluorimetric nanobiosensor for direct highly fast field detection of explosive triacetone triperoxide

BackgroundDirect detection of the notorious explosive triacetone triperoxide (TATP) is very difficult because it lacks facile ionization and UV absorbance or fluorescence. Besides, the current indirect methods are time-consuming and need a pre-step for TATP cleavage to hydrogen peroxide. Moreover, they commonly show significant false-positive results in the presence of some camouflage which limits their field applications. Herein, for the first time, a novel label-free field-applicable spectrofluorimetric nanobiosensor was developed for direct TATP detection using a novel activated-protein protected gold nanocluster (ABSA-AuNCs; QY = 28.3 %) synthesized by a combined protein-assisted-ultrasonication procedure. ResultsThe ABSA-AuNCs revealed a fluorescence spectrum centered at 330.0 nm which was significantly quenched by TATP (binding constant = 154.06 M-1; ΔG = −12.5 kJ mol−1; E(%) = 88.5 %). This phenomenon was used as a basis for direct TATP quantification, providing a working range of 0.01–40.0 mg L−1 and a detection limit of 6.7 μg L−1 which is the lowest LOD provided for TATP detection up to now. A %RSD of 0.9 % and 1.56 % was obtained for repeatability and inter-day reproducibility, respectively. The selectivity was checked against a variety of camouflages, revealing ultra-selectivity. Several synthetic samples prepared by several camouflages and real samples (clay soil and real water media) were analyzed, revealing quantitative recoveries of TATP. SignificanceDuring the production of the notorious explosive TATP, it can be discharged into water and soil. This novel method eliminated the false-positive results of traditional methods and is applicable for direct quantitative detection of camouflaged TATP and its residues in real soil and water samples in a highly short response time (2 min). The camouflaged TATP analysis is important for tracking the terrorist attacks in field conditions and analysis of soil and water can provide a first indication of the location of the production site.

A new sol-gel fluorescent sensor to track carbonyl compounds

Carbonyl compounds are ubiquitous quality trackers that provide information about food product degradation as well as air and water pollution levels. In addition, they are used as biomarkers for medical diagnoses. With more user-friendly sensors, their fast detection and easy quantification are highly relevant. The synthesis, characterization, and performance assessment of a new sensor based on aniline fluorescence to monitor carbonyls in real time is reported. A cost-effective synthesis using a straightforward sol-gel process led to the construction of a nontoxic silica-based material with high porosity, which can be used with almost no sample preparation. The material exhibits a rapid (< 1 min) fluorescence decrease upon interaction with carbonyl groups. The limit of detection is as low as ca. 5 × 10−4 mol·L−1 for hexanal, while fluorescence extinction occurs at much higher concentrations (5 × 10−1·mol L−1), which enables the sensor to be used with a very broad range of detection. Real-time monitoring is possible since the fluorescence loss correlates with the concentration of carbonyl moieties. The performance was validated in simulating as well as in real media, making this sensor suitable for use in a wide range of applications.

Comparison Effectiveness of Concrete and Digital Mathematics Learning Media: Systematic Literature Review on Industrial Revolution 4.0 Era

Industrial Revolution 4. 0. Technological developments affect all aspects of human life, as well as education. Therefore, innovation is needed to achieve learning objectives. The goal is to produce a competitive workforce equipped with skills known as the 4Cs (communication, collaboration, critical thinking and problem solving, creativity and innovation). Reforms in the field of mathematics education to achieve the intended expectations include the use of tangible digital educational media. Researchers conducted research using systematic literature review methods to find out the latest facts about concrete and digital mathematics learning media in the era of the Industrial Revolution 4. 0. We interpret a total of 30 articles from various databases and make an overview of the use, advantages and disadvantages of digital and real mathematics educational media in the era of the Industrial Revolution 4. 0. The benefits of real educational media include improving students' problem-solving, creative and thinking skills, and visual reasoning. The advantages of digital learning media include efficiency and efficiency when learning mathematics, allowing for face-to-face (distance) learning, and eliminating the need for certain treatments. The shortcomings of concrete learning media require more consideration so that it takes a long time.

PANDEMIC’S IMPACT ON BURSA MALAYSIA SECTORS: A COMPREHENSIVE STUDY UTILIZING OLSM AND ESM

The pandemic has the potential to induce significant stock market volatility as a consequence of investor decisions, while movement restrictions may force the closure of many small-to-medium enterprises (SMEs). Despite this, there is a noticeable absence of comprehensive perspectives on the pandemic's impact across all sectors in Bursa Malaysia. Consequently, this paper endeavors to scrutinize the sector within Bursa Malaysia most profoundly affected by Covid-19. Employing the Ordinary Least Squares method (OLSM) method and the Event Study Method (ESM), the study compares stock returns and risks. The independent variables encompass daily counts of Covid-19 cases and deaths in three countries—Malaysia, the United States, and China—as well as the Brent oil price. The study focuses on 13 sectorial indices, including construction, consumer products, energy, finance, healthcare, industrial products, plantations, property, real estate investment trusts, technology, telecommunications and media, transportation and logistics, and utilities. Utilizing the ESM, the study investigates the daily average return, abnormal return, and expected return of each sector to gauge the impact of Covid-19. Historical data from March 18 to May 3 over three years (2019 to 2021) is employed. Results indicate that an increase in Covid-19 cases in Malaysia correlates with a decrease in the performance of these 13 sectors. Consequently, this study contributes to enhancing investor comprehension of sectorial indices' volatility and significance during the pandemic, aiding them in monitoring sectoral performance in the securities market.

Light-driven rGO/Cu2 + 1O tubular nanomotor with active targeted drug delivery for combination treatment of cancer cells.

The unprecedented navigation ability in micro/nanoscale and tailored functionality tunes micro/nanomotors as new target drug delivery systems, openup new horizons for biomedical applications. Herein, we designed a light-driven rGO/Cu2 + 1O tubular nanomotor for active targeting of cancer cells as a drug delivery system. The propulsion performance is greatly enhanced in real cell media (5% glucose cells isotonic solution), attributing to the introduction of oxygen vacancy and reduced graphene oxide (rGO) layer for separating photo-induced electron-hole pairs. The motion speed and direction can be readily modulated. Meanwhile, doxorubicin (DOX) can be loaded quickly on the rGO layer because of π-π bonding effect. The Cu2 + 1O matrix in the tiny robots not only serves as a photocatalyst to generate achemical concentration gradient asthe driving force but also acts as ananomedicine to kill cancer cells as well. The strong propulsion of light-driven rGO/Cu2 + 1O nanomotors coupled with tiny size endow them with active transmembrane transport, assisting DOX and Cu2 + 1O breaking through the barrier of thecell membrane. Compared with non-powered nanocarrier and free DOX, light-propelled rGO/Cu2 + 1O nanomotors exhibit greater transmembrane transport efficiency and significant therapeutic efficacy. This proof-of-concept nanomotor design presents an innovative approach against tumor, enlarging the list of biomedical applications of light-driven micro/nanomotors to the superficial tissue treatment.

Stable Q-compensated reverse time migration in TTI media based on a modified fractional Laplacian pure-viscoacoustic wave equation

Abstract The anisotropy and attenuation properties of real earth media can lead to amplitude reduction and phase dispersion as seismic waves propagate through it. Ignoring these effects will degrade the resolution of seismic imaging profiles, thereby affecting the accuracy of geological interpretation. To characterize the impacts of viscosity and anisotropy, we formulate a modified pure-viscoacoustic (PU-V) wave equation including the decoupled fractional Laplacian (DFL) for tilted transversely isotropic (TTI) media, which enables the generation of stable wavefields that are resilient to noise interference. Numerical tests show that the newly derived PU-V wave equation is capable of accurately simulating the viscoacoustic wavefields in anisotropic media with strong attenuation. Building on our TTI PU-V wave equation, we implement stable reverse time migration technique with attenuation compensation (Q-TTI RTM), effectively migrating the impacts of anisotropy and compensates for attenuation. In the Q-TTI RTM workflow, to remove the unstable high-frequency components in attenuation-compensated wavefields, we construct a stable attenuation-compensated wavefield modeling (ACWM) operator. The proposed stable ACWM operator consists of velocity anisotropic and attenuation anisotropic parameters, effectively suppressing the high-frequency artifacts in the attenuation-compensated wavefield. Synthetic examples demonstrate that our stable Q-TTI RTM technique can simultaneously and accurately correct for the influences of anisotropy and attenuation, resulting in the high-quality imaging results.

Modelling polarized pulsed LiDAR signals in scattering media: an approach for optimizing systems in real-world scenarios.

Adverse weather conditions present a primary challenge for ground-based LiDAR imaging systems in outdoor applications. The use of polarization has been proposed as an effective filtering mechanism. However, the number of potential situations is large, complex and difficult to parameterize with accuracy. In such conditions, advanced simulation methods enable the testing of different experimental configurations and the determination of the best possible setup. With this purpose, a Monte Carlo algorithm is presented for modeling polarized pulsed LiDAR signals in turbid media. This algorithm is designed for immediate applicability, incorporating realistic media characterization and accounting for the attributes of existing prototypes. It allows testing various experimental configurations, managing optical obstacles, adjusting polarization arrangements, and different geometries of particles within the medium. The developed algorithm accurately characterizes backscattering signals, revealing their dependence on medium properties. A relationship between visibility and backscattering energy is identified, offering insights for sensor optimization. Polarization analysis highlights the efficacy of circular polarization in mitigating scattering effects and establishes a connection with the polarimetric characteristics of imaged targets. The algorithm's application to irregular particles reveals also an unexpected behavior of polarized light, challenging established strategies. These diverse use cases exemplify the algorithm's capability to model real-world circumstances, emphasizing its significance in predicting cutting-edge situations when designing optical systems for complex and demanding outdoor scenarios.

An electrochemical sensing potential of cobalt oxide nanoparticles towards citric acid integrated with computational approach in food and biological media

Although citric acid (CA) has antioxidant, antibacterial, and acidulating properties, chronic ingestion of CA can cause urolithiasis, hypocalcemia, and duodenal cancer, emphasizing the need for early detection. There are very few documented electrochemical-based sensing methods for CA detection due to the challenging behavior of electrode fouling caused by reactive oxidation products. In this study, a novel, non-enzymatic, and economical electrochemical sensor based on cobalt oxide nanoparticles (CoOxNPs) is successfully reported for detection CA. The CoOxNPs were synthesized through a simple thermal decomposition method and characterized by SEM, FT-IR, EDX, and XRD techniques. The proposed sensing platform was optimized by various parameters, including pH (7.0), time (15 min), and concentration of nanoparticles (100 mM) etc. In a linear range of 0.05–2500 μM, a low detection limit (LOD) of 0.13 μM was achieved. Theoretical calculations (ΔRT), confirmed hydrogen bonding and electrostatic interactions between CoOxNPs and CA. The detection method exhibited high selectivity in real media like food and biological samples, with good recovery values when compared favorably to the HPLC method. To facilitate effective on-site investigation, such a sensing platform can be assembled into a portable device.

High viscosity ratio multicomponent flow simulations in porous media using a pseudo-potential central moment lattice Boltzmann method

Multicomponent Immiscible flows within porous media are a pivotal concern in engineering applications, especially in contexts such as oil reservoirs, which exhibit a broad spectrum of properties, including varying viscosities. The precise characterization of flow dynamics, particularly when confronted with a dynamic contact interface within intricate and heterogeneous structures, has remained a significant challenge in the field. This study employs an enhanced Pseudo-potential Central Moment Lattice Boltzmann Method to simulate multicomponent immiscible flows within porous media. The model is implemented through an in-house CUDA code (called Dena) to leverage the parallel processing capabilities of the Lattice Boltzmann Method. In order to assess the accuracy and effectiveness of this method, several test cases are examined, including the Capillary Intrusion Test, the Fingering Process, and the Drainage Process within a real porous medium. Comparative analysis against analytical and experimental results substantiates the model's capabilities and accuracy. Furthermore, the impact of viscosity ratio variations among different flow components within porous media is investigated. With the developed approach, it is possible to span a range of viscosity ratios up to 2132. The findings underscore the model's stability and accuracy in simulating high-viscosity ratio multicomponent fluid flows within porous media.