In this study, dodecyl-methyl imidazolium dodecyl sulfonate ([C12MIm][DS]) GUMBOS were synthesized and incorporated into alginate with γ-Fe2O3 to fabricate magnetic adsorbent beads ([C₁₂MIm][DS]-beads) for methylene blue (MB) removal. Characterization via ESI-MS, FT-IR, SEM, BET, and TGA confirmed their structure and properties. The beads achieved a maximum adsorption capacity of 4.5 mg/g at pH 10 with an initial MB concentration of 500 mg/L, following pseudo-first-order kinetics and the Langmuir isotherm model. Thermodynamic studies confirmed the process was exothermic. Even after six recycling cycles, the beads retained similar morphology and an MB removal percentage of 57.6%. The beads demonstrated high adsorption efficiency (70%) in the presence of Cu2⁺, ibuprofen, and malachite green, comparable to MB removal alone. These results highlight the potential of [C12MIm][DS]-beads as effective adsorbents for water remediation applications.

Herein two magnetic ionic liquids (MILs), [P66614]2[CoCl4] and [P66614]3 [DyCl6], were synthesized and evaluated as extractive materials in a micro liquid extraction procedure (MLE) to remove polycyclic aromatic hydrocarbons (PAHs) present in water samples. The extraction capacity of evaluated PAHs was studied at different conditions such as pH, extraction time, MIL mass, PAH concentration and ionic strength. Both synthesized MILs demonstrated successful extraction of the five evaluated PAHs. Optimal extraction conditions were achieved at pH = 2, 60 min, and 7.5 % NaCl and 15 mg for [P66614]2[CoCl4] and 10 % NaCl, and 100 mg of [P66614]3[DyCl6] for each of PAH. Finally, recovery and reuse of the MILs was evaluated. In this study, only [P66614]2[CoCl4] was recovered successfully without the presence of any PAH and used successfully in future extractions. Recovered [P66614]2[CoCl4] was used for five consecutive extractions with an extraction efficiency of the Pyrene above 99 %. These MILs effectively extracted five PAHs from aqueous samples and proved to be recyclable for up to five extraction cycles. These MILs have a high potential to be employed as extractive materials for remediation purposes.

Herein, hydrophobic coating materials are reported for QCM detection of VOCs under dry and humid conditions. In this study, IR780-based GUMBOS ([IR780][OTf] and [IR780][NTf2]) were synthesized using an ion exchange reaction and the anions trifluoromethanesulfonimide ([OTf]) and bisperfluoromethanesulfonimide ([NTf2]). The parent iodide salts and GUMBOS ([IR780][I]), [IR780][OTf], and [IR780][NTf2]) were characterized using several analytical techniques. These salts were then employed as sensor coatings on quartz crystal resonators using an electrospray coating method. These sensors were exposed to four flow ratios of five common VOCs in the absence and presence of 10 vol% water. Fundamental frequency responses were recorded and further employed as input variables to develop highly accurate multi-sensor arrays (MSAs). Accuracy was more than 78.3% without water, and more than 91.7% in the presence of water. When multi-harmonic responses were evaluated as input variables to assess discrimination ability for each sensor, highly accurate virtual sensor arrays (VSAs) were able to be developed for each GUMBOS coating. In the case of [IR780][NTf2], a slight improvement in discrimination was achieved in the presence of water (95%) versus the absence of water. Moreover, this study highlights development of readily synthesized hydrophobic coatings of IR780-based GUMBOS for potential detection and discrimination of VOCs in aqueous systems.

The process of creating animated films has traditionally been a time-consuming and labor-intensive endeavor. With the rapid onset of improvements in natural language processing (NLP), it is now possible to automate much of the film creation process, reducing the need for human involvement while still producing high-quality animated films. In this paper, we propose a novel approach to animated film generation in which, using a screenplay as the primary input, a user can create an animated film using only a web application. We focus on the NLP steps required to extract information from a screenplay and utilize it to generate visual representations of the scenes described in the screenplay. Our approach has the potential to revolutionize the animation industry by making the process of creating animated films more efficient and accessible to studios, independent creators, and artists. We describe our approach and its key components in detail. Our results demonstrate the feasibility of our system and its potential to significantly improve the abilities of independent creators and artists to become more involved in the animation industry.

Herein, hydrophobic coating materials are reported for QCM detection of VOCs under dry and humid conditions. In this study, IR780-based GUMBOS ([IR780][OTf] and [IR780][NTf2]) were synthesized using an ion exchange reaction and the anions trifluoromethanesulfonimide ([OTf]) and bisperfluoromethanesulfonimide ([NTf2]). The parent iodide salts and GUMBOS ([IR780][I]), [IR780][OTf], and [IR780][NTf2]) were characterized using several analytical techniques. These salts were then employed as sensor coatings on quartz crystal resonators using an electrospray coating method. These sensors were exposed to four flow ratios of five common VOCs in the absence and presence of 10 vol% water. Fundamental frequency responses were recorded and further employed as input variables to develop highly accurate multi-sensor arrays (MSAs). Accuracy was better than 78.3% without water, and better than 91.7% in the presence of water. When multi-harmonic responses were evaluated as input variables to assess discrimination ability for each sensor, highly accurate virtual sensor arrays (VSAs) were developed using each GUMBOS coating. In the case of [IR780][NTf2], a slight improvement in discrimination was achieved in the presence of water (95%) versus the absence of water. Moreover, this study highlights development of readily synthesized hydrophobic coatings of IR780-based GUMBOS for potential detection and discrimination of VOCs in aqueous systems.

The process of least-squares analysis has been applied for decades in the field of crystallography. Here, we discuss the application of this process to total scattering data, primarily in the combination of least-squares Rietveld refinements and fitting of the atomic pair distribution function (PDF). While these two approaches use the same framework, the interpretation of results from least-squares fitting of PDF data should be done with caution through carefully constructed analysis approaches. We provide strategies and considerations for applying least-squares analysis to total scattering data, combining both crystallographic Rietveld and fitting of PDF data, given in context with recent examples from the literature. This perspective is aimed to be an accessible document for those new to the total scattering approach, as well as a reflective framework for the total scattering expert.

Media content has become a primary source of information, entertainment, and even education. The ability to provide video content querying as well as interactive experiences is a new challenge. To this end, question answering (QA) systems such as Alexa and Google Assistant have become quite established in consumer markets but are limited to general information and lack context awareness. In this paper, we propose Context-QA, a light-weight context-aware QA framework, to provide QA experiences on multimedia content. The context awareness is achieved through our innovative Staged QA Controller algorithm that keeps the search for answers in the context most relevant to the question. Our evaluation results show that Context-QA improves the quality of the answers by up to 49% and uses up to 56% less time compared to the conventional QA model. Subjective tests show Context-QA improved results over conventional QA models, with 90% reporting enjoying this new media form.