Simple Sketch Research Articles

Incorporating Graphic Humor and Comic Vignettes in Second Lang

Abstract: This article explores the integration of graphic humor, specifically comic vignettes, into a foreign language teaching (FLT) context and its impact on enhancing communicative competencies. It addresses the paradox of how simple humorous sketches can convey complex meanings and discusses their relevance in a globalized world with approximately 7 billion inhabitants. By examining Alon¬so Abad’s (2010) insights on the intersection of psychology and language pedagogy, the article highlights the advantages of using comic strips over more traditional or conventional verbalist approaches. The current discussion, includes theoretical frameworks such as Krashen’s Affective Filter Theory and the CEFR’s concept of existential competence, emphasizing the role of emotional and personal factors in language learning. The article defines graphic novels and humor graph¬ics, illustrating their ability to engage students with a variety of alternative topics and create meaningful learning experiences in the learning field. It also delves, into the semiotic models of humor and cartoons, noting the cognitive effects of combining verbal and visual elements. Practical aspects of incorporating graphic materials into language teaching are discussed, including the need for specific teacher training and the development of an alternative set of discourses connected with visual competencies. The article concludes with some recommendations based on Littlewood’s (1981) procedures for designing didactic materials, aiming to foster a positive classroom environment and enhance language acquisition through humor. Overall, the integration of comic-based learning materials is pre¬sented as a necessary approach, which intends to fulfil the lack of intuitive and criti¬cal thinking in the second language teaching (SLT) field. Keywords: graphic humor, images, cartoons, vignettes, communication, creativity, critical thinking, innovation.

Enhancing understanding of the rotating magnetic field in electric machines through active learning and visualization

AbstractThis paper presents a method aimed at improving comprehension of AC electric machine principles by facilitating the learning of the Rotating Magnetic Field (RMF) through visualization tools provided by Finite Element Method (FEM) software. First, traditional methods used in textbooks to explain RMF in electric machines are reviewed, with an analysis of various instructional strategies. Acknowledging the limitations of these conventional approaches and the inherent complexity of RMF comprehension, a novel visualization method is proposed. Understanding RMFs in electric machines is fundamental for electrical engineers due to their crucial role in electric machine design and optimization. While textbooks typically rely on mathematical explanations and simple sketches, advancements in computer and software technology offer opportunities to utilize finite element tools for enhanced comprehension. Through dynamic animations and interactive simulations, emphasis is placed on prioritizing conceptual understanding over mathematical descriptions. Furthermore, this paper explores the development of pre‐simulation models in FEM tools to facilitate RMF learning in AC electric machines, and the process of creating a model to teach rotating magnetic fields in electric machines is carefully outlined. This approach holds promise for engineers seeking a deeper understanding of electric machines and can also be utilized by educators to enhance their teaching methodologies.

CreativeSeg: Semantic Segmentation of Creative Sketches.

The problem of sketch semantic segmentation is far from being solved. Despite existing methods exhibiting near-saturating performances on simple sketches with high recognisability, they suffer serious setbacks when the target sketches are products of an imaginative process with high degree of creativity. We hypothesise that human creativity, being highly individualistic, induces a significant shift in distribution of sketches, leading to poor model generalisation. Such hypothesis, backed by empirical evidences, opens the door for a solution that explicitly disentangles creativity while learning sketch representations. We materialise this by crafting a learnable creativity estimator that assigns a scalar score of creativity to each sketch. It follows that we introduce CreativeSeg, a learning-to-learn framework that leverages the estimator in order to learn creativity-agnostic representation, and eventually the downstream semantic segmentation task. We empirically verify the superiority of CreativeSeg on the recent "Creative Birds" and "Creative Creatures" creative sketch datasets. Through a human study, we further strengthen the case that the learned creativity score does indeed have a positive correlation with the subjective creativity of human. Codes are available at https://github.com/PRIS-CV/Sketch-CS.

SCRISORI FĂRĂ RĂSPUNS ( I )

Everything in Ion Ghica's correspondence, “Letters to Vasile Alecsandri”, is "in nuce", it belongs to a “beginning” that promises everything without concluding anything. Very little of what these letters contain provides complete pictures, concepts or truths within the limits of any accredited discipline. Everything is to be found in the course of this correspondence, the most extensive, and famous in the Romanian culture: sketches of history, outlines of political philosophy, philosophy of history, legislation, pleadings for a political regime and its ideologies, views on administration, revolution, reforms. Nothing is missing, just as nothing is carried through. Fortunately, there are premises and logic revealed for each. What I intended in “Unanswered Letters” was to show how from simple ideas, sketches or attempts one can get the full description of ideality.

Interactive pose and shape editing with simple sketches from different viewing angles

The challenge of generating and creating humanoid 3D models is nowadays omnipresent in animation films, video games, and many other applications. To enhance and speed up this costly process, we propose an interactive method to infer 3D human poses and shapes from simple free-hand sketches. In contrast to previous work, our sketches are easy and fast to draw even for inexperienced users. Reconstructing the human 3D pose and shape from a single sketch is difficult due to the perspective projection resulting in ambiguous representations. We approach this challenge by adding a novel multi-view sketch interface for human pose estimation. Our simple sketch style allows for fast and intuitive, iterative refinement of not only the pose but also the shape using simple 2D interactions. The pose is inferred from a pre-trained neural network that is trained on a self-generated data set of sketches, derived by sampling 3D STAR models and rendering them in a sketch style. We conduct a user study to evaluate the accuracy, intuitiveness, and usability of our system in a real-world scenario. With our novel multi-view input system, we can effectively resolve ambiguities inherent to single sketch approaches while still delivering a fast and intuitive user experience.

TreeSketchNet: From Sketch to 3D Tree Parameters Generation

Three-dimensional (3D) modeling of non-linear objects from stylized sketches is a challenge even for computer graphics experts. The extrapolation of object parameters from a stylized sketch is a very complex and cumbersome task. In the present study, we propose a broker system that can transform a stylized sketch of a tree into a complete 3D model by mediating between a modeler and a 3D modeling software. The input sketches do not need to be accurate or detailed: They must only contain a rudimentary outline of the tree that the modeler wishes to 3D model. Our approach is based on a well-defined Deep Neural Network architecture, called TreeSketchNet (TSN), based on convolutions and capable of generating Weber and Penn [1995] parameters from a simple sketch of a tree. These parameters are then interpreted by the modeling software, which generates the 3D model of the tree pictured in the sketch. The training dataset consists of synthetically generated sketches that are associated with Weber–Penn parameters, generated by a dedicated Blender modeling software add-on. The accuracy of the proposed method is demonstrated by testing the TSN with synthetic and hand-made sketches. Finally, we provide a qualitative analysis of our results, by evaluating the coherence of the predicted parameters with several distinguishing features.

Fashion Designer Application Based on Generative Adversarial Network

Embodying the design from scratches has been a common problem for all designers. In some situation, clothes designers have trouble creating works that match their idea the most. Creating a fine work from a simple sketch is a tedious process of endless try-and-error. Designers spend days, weeks, or even months drawing drafts and discard them, because they need to draw the picture that best embodies the idea in their head. This study proposes a deep learning method that can generate clothes images from human sketch input, explores the effect of different image to sketch translators, different Generative Adversarial Network (GAN) architecture, loss functions and regularization methods. Many previous works have demonstrated strong results on conditioned image generation, and this study shows that similar settings can be transferred to help designers to embody their designs. The result shows that the model can generate clothes images with high fidelity while faithful to the input sketch.

Fighting Fire with Fire: Using Film to Counter Film Propaganda

His article explores how effective films are in countering propaganda in films. To organize the discussion, first a simple sketch of propaganda theory is drawn up, in which propaganda can be ranked from completely rational to highly irrational, on six different dimensions. This is how far the propaganda went: evidence-based; Honest; broadly logical; transparent; right on target; and transparent. Then the main propaganda film is reviewed in detail, Gasland. This film is a highly successful documentary attacking the production of natural gas by hydrofracturing, which is referred to in America as "fracking". Gasland was successful in organizing domestic opposition to fracking, actually blocking it in the Delaware River Basin system. The film was also influential abroad, leading to a ban on fracking in France, Bulgaria and elsewhere in Europe. Next, two counter-propaganda films are reviewed in detail—namely, in this case, two pro-fracking documentaries: Truthland and FrackNation. Truthland is a short documentary that refutes many of Gasland's important claims. It was funded by the fracking industry and had limited distribution but manage d to refute most of the longer, better-funded anti-fracking films. A much more successful film in terms of general distribution and debunking efficacy is the much longer pro-fracking documentary FrackNation. It critiques all Gasland's main points, in vivid detail. Due to crowdfunding, it cannot be ignored due to bias because it is supported by the industry. From this article it can be concluded by explaining why pro-fracking documentaries have not resulted in major changes in public opinion.

Artificial intelligence-designer for high-rise building sketches with user preferences

Architectural design is a highly intellectual creative work. It is so interesting and fascinating to explore artificial intelligence (AI)-based architectural design methodology, i.e. exploring the creativity of machines from a design perspective. Conceptual design, which gives a sketch of a building satisfying certain constraints, requires very high creativity and is an important step in the architectural design process. This study proposes a novel AI-based design method of high-rise building sketches with user preferences (termed AI-designer), where AI-designer can control the sketch generation in two aspects: shape preferences and architectural fusion. To achieve these two functions, the AI-based design method contains the shape preference module with Self-Sparse GAN and architecture fusion module. The proposed shape preference module with Self-Sparse GAN enables the user to specify the shape of the building sketch by a simple hand-drawn sketch, where the Self-Similarity score (SS-score) is proposed to obtain the degree of similarity of shapes for selecting a specified number of sketches generated by the Self-Sparse GAN. Meanwhile, the architecture fusion module allows to implement user-preference elements (such as artistic style and local culture) with the generated sketches for further forming a clearer architectural fusion sketch by using the line loss with a feature-based attention mechanism. The design results show that the proposed AI-designer can not only generate a large number of desired architectural sketches with a specific theme while remaining diversity in just a few seconds, but also form clearer sketches with architectural fusion by re-rendering using user-specified elements.

Deep generation of 3D articulated models and animations from 2D stick figures

Generating 3D models from 2D images or sketches is a widely studied important problem in computer graphics. We describe the first method to generate a 3D human model from a single sketched stick figure. In contrast to the existing human modeling techniques, our method does not require a statistical body shape model. We exploit Variational Autoencoders to develop a novel framework capable of transitioning from a simple 2D stick figure sketch, to a corresponding 3D human model. Our network learns the mapping between the input sketch and the output 3D model. Furthermore, our model learns the embedding space around these models. We demonstrate that our network can generate not only 3D models, but also 3D animations through interpolation and extrapolation in the learned embedding space. In addition to 3D human models, we produce 3D horse models in order to show the generalization ability of our framework. Extensive experiments show that our model learns to generate compatible 3D models and animations with 2D sketches.

Central–Local Relations in Land Planning Governance in Contemporary China: A Review from the Structural, Process, and Cultural Perspectives

Land planning plays an important role in the economic and social development of a developing country, such as China. Studies have started to focus on the topic of central and local relations in land planning systems; however, the picture of central–local relations presented by different studies has not been classified and distinguished. From the perspectives of structure, process, and culture, this paper reviews recent studies on the relationship between central and local governments in land planning governance and summarizes the existing research status and shortcomings, aiming to point out directions for future research. The results indicate that (1) existing studies provide a simple sketch of central–local relations, focusing on the structural and process perspectives and paying less attention to the cultural perspective; (2) the points of view among these studies conflict, leading to a lack of systematic theory and consensus regarding central–local relations in land planning; and (3) the process perspective is currently a hot topic that involves issues of central and local behavior, such as land planning execution, planning policy innovation, and public goods provision, but studies do not adopt an in-depth methodology. Therefore, we suggest that future research should be developed in four dimensions, namely the construction of a conceptual model, the expansion of existing theories, the application of new methods, and the integration of research perspectives.

The perceived value of human-AI collaboration in early shape exploration: An exploratory assessment.

As a vital element of early shape exploration, divergence can be time-consuming and challenging, with iterative cycles where idea fixation and creative blocks must be overcome for fuzzy ideas to be fully expanded and understood. Despite interesting tools that have been developed for this purpose, some important challenges remain, as it appears that many designers still prefer simple freehand sketching and tend to defer the use of computational tools to later stages. This work presents an exploratory assessment of the perceived value of a new tool, Shapi, developed to assist early shape exploration by addressing some of the pitfalls reported in the literature. Shapi is envisioned as an autonomous assistant that provides local and global shape variations in the form of rough sketches based on an initial human sketch and interactive cycles. These shape variations are What-If scenarios and cognitive facilitators that may spark new ideas or enable a deeper understanding of the shape and the identification of interesting patterns. Shapi’s capabilities are explored in a diverse set of case studies with different purposes: nine implementations in industrial design, three in graphic design, and five with open-ended artistic purposes. These implementations are then used in a survey about initial perceived value in which the majority gave high ratings in terms of exploration (75.5% ≥ 4 out of 5), interpretation (83.7% ≥ 4), adaptation (77.6% ≥ 4), value (73.5% ≥ 4), creativity (69.4% ≥ 4), and general interest in the tool (79.6% ≥ 4). This work brings insight into promising functionalities, opportunities, and risks in the intersection between artificial intelligence, design, and art.

CoR-SketchAR: Cooperative Sketch-Based Real-Time Augmented Reality Authoring Tool for Crowd Simulation

In this study, we propose CoR-SketchAR, an augmented reality (AR) environment authoring tool that uses dry-erase markers for real-time collaboration among users. The most important requirement for multi-user collaboration in an AR environment is that the 3D virtual object must be placed at a specific location and can be easily changed by multiple users. Because marker-based registration techniques, which are widely used for matching virtual objects with real ones, require a marker for each object, and creating a crowd simulation environment with objects of various shapes and sizes requires the use of a large number of markers, which is time consuming and expensive. CoR-SketchAR, instead, creates an urban AR environment by drawing sketches with easily altered dry-erase marker. Then, system recognizes the shapes and colors of the sketches automatically. Those recognized shapes and colors provide the exact positions for overlaying the 3D virtual objects, which are the environment factors, on the real environment in augmented reality manner. We can even specify the path the crowd are moving along with a simple sketch stroke. We apply the computer vision technique to recognize the colors and shapes of sketches. By altering the size, shape and color sketches, the system is able to create a wide variety of dynamic urban environments. To validate the proposed techniques, we built two stand-alone software systems to check the usability of the proposed system (a 2D screen-based environmental authoring tool and a sketch-based environmental authoring tool) and conducted experiments in which two users collaborated with each other to create an environment with a specific authoring tool and then report surveys. In the experiments, users collaborated in pairs to create environmental elements, such as highways, buildings, trees, and the starting and goal positions of crowds. After recognizing them, the system then automatically creates a 3D environment, and crowds are animated accordingly. Based on a user survey, we observed that participants who used sketch-based environmental authoring tools were more active and accessible than those who used 2D screen-based authoring tools. The results of the study show that CoR-SketchAR can be further used to create a dynamical crowd simulation on a large scale using beam projectors or portable devices by simply adding sketches based on different scenarios.

OneSketch: learning high-level shape features from simple sketches

OneSketch: learning high-level shape features from simple sketches

A Curious Garden of Herbs: Cultivated and Wild; Culinary, Medicinal, Cordial, and Amusing; of the Eighteenth-Century “Southern Frontier.”

A Curious Garden of Herbs: Cultivated and Wild; Culinary, Medicinal, Cordial, and Amusing; of the Eighteenth-Century “Southern Frontier.”

COUNSELING OF REVITALIZATION PLAN FOR SUPPORTING FACILITIES AND INFRASTRUCTURE WITH USER-FRIENDLY CONCEPT AT THE AREA OF RW 07 KEBON KACANG, TANAH ABANG, JAKARTA

This article describes community service activities by a team of lecturers and students from the Department of Urban Planning and the Department of Architecture, Universitas Trisakti. The activity started with a site planning study project in the odd semester of the 2021-2022 academic year, with the topic of site planning in one of the Rukun Warga (RW) areas which has an area of ​​+/- 2 HA, with a user-friendly site planning concept. At the beginning of the study, students conducted a physical survey and a cognitive survey of residents regarding the mapping of the RW 07 area, Kelurahan Kebon Kacang, Kecamatan Tanah Abang, Central Jakarta. In this way, residents are trained to express themselves through simple sketches about the physical boundaries, site characteristics, and the treasures of facilities and infrastructure that exist in the RW 07 area. The results of this first work are used as a conceptual basis for user-friendly site planning. The next study work was to design a site plan in RW 07, which was prepared according to user-friendly theory in site planning, the site plan standard, and directions of the Spatial Plan for Trade and Services Zones according to Presidential Decree No. 60/2020. The results of the analysis, synthesis, planning and designing of the RW 07 area was compiled was an academic manuscript to be donated to the RW 07 Planning Forum, Kelurahan Kebon Kacang through this activity. The team succeeded in counseling substances of the design of the RW 07 area, according to the needs of citizens. In addition, the team was successfully measuring the level of empowerment of residents were participating in the community service activity which was held on March 14, 2022 on the neighborhood road in front of the RW 07 Secretariat.

Analysis of Eigenvalues for Molecular Structures

In this article, we study different molecular structures such as Polythiophene network, for and , Orthosilicate (Nesosilicate) , Pyrosilicates (Sorosilicates) , Chain silicates (Pyroxenes), and Cyclic silicates (Ring Silicates) for their cardinalities, chromatic numbers, graph variations, eigenvalues obtained from the adjacency matrices which are square matrices in order and their corresponding characteristics polynomials. We convert the general structures of these chemical networks in to mathematical graphical structures. We transform the molecular structures of these chemical networks which are mentioned above, into a simple and undirected planar graph and sketch them with various techniques of mathematics. The matrices obtained from these simple undirected graphs are symmetric. We also label the molecular structures by assigning different colors. Their graphs have also been studied for analysis. For a connected graph, the eigenvalue that shows its peak point (largest value) obtained from the adjacency matrix has multiplicity 1. Therefore, the gap between the largest and its smallest eigenvalues is interlinked with some form of “connectivity measurement of the structural graph”. We also note that the chemical structures, Orthosilicate (Nesosilicate) , Pyrosilicates (Sorosilicates) , Chain silicates (Pyroxenes) , and Cyclic silicates (Ring Silicates) generally have two same eigenvalues. Adjacency matrices have great importance in the field of computer science.

Developmental Twists: Back to Back.

The vessel shipped out on time. It made this voyage twice a month and was packed from end to end. I was in the rear section and, being thirsty for a little conversation, turned to the neighbour on my right. He was smartly arranged and a little shorter than me. “Wonderful, isn't it, getting to visit so many countries, so many minds.”“Suppose so.”Normally I'd have left it there, but release doesn't happen every day. “I mean, isn't it thrilling to be finally out?”“Look, I don't wish to be a killjoy, but the system sucks. I'm only here because that bastard assessor finally gave in. Doubtless you sailed through.”How little he knew. The early stages had been relatively painless. I'd started off as a simple sketch. Then my visuals appeared, courtesy of my first parent. Flesh soon followed, initially filling out my middle, then my end and finally my beginning. Within a month I was in reasonable shape. Then my last parent decided to rearrange everything, carved away large parts of me and grafted new material in its place. My first parent complained that the new arrangement wasn't historically correct, though eventually she agreed it made me easier to absorb. Finally, at 6893 words long, just shy of the limit, I was good to go. My last parent hesitated for a moment, then sent me off for evaluation.The admissions officer looked me over for a while, then dispatched me to three assessors. I recognised one of the names, Professor K, because my parents had suggested her. I spent quite a while in her office – spartan except for a thorny plant that blocked most of the light from the window. She compiled the longest report.A month later I was back with my parents. My last parent fumed at the injustice – the nasty comments clearly came from his competitor Dr M (he never guessed it was Professor K). My first parent lamented the end of her career. The following day, things seemed to have calmed down a little, as my parents agreed that, with some clarifications, a further test and an extra control, they should be able to satisfy the tough assessor. Three months later, after extensive surgery and implantation of a new visual, my parents said I'd never looked better. A final few touches and they sent me back for evaluation, together with a letter explaining how much I'd improved.Two of the assessors responded straightaway but I spent a further three weeks among the thorns of Professor K's office. Finally, she ticked the box saying she preferred to remain anonymous and sent me back.My parents were overjoyed.“It wasn't easy,” I replied to my neighbour. “I had an obnoxious assessor just like you. Still, it was worth it in the end. I mean I'm probably better for the surgery and so proud to be finally out.”“I had to go through three rounds. Can you believe it! Three rounds of surgery until that vicious assessor finally caved. My parents were traumatised by the experience.”“How terrible,” I said, recalling the pain of my procedure. “Going through one operation was bad enough.”“Mind you, my last parent dealt with it remarkably well. She helped the others pick themselves up each time to go back into the fight. The noxious assessor didn't sign in the end, so my parents never knew who he was.”“My brute didn't sign either.”“Exactly! They can just throw whatever dirt they like without fear of recrimination. I mean, I thought science was all about honesty and transparency. How naïve I was!”“Yeah,” I said, warming to his theme, “if you have a valid criticism, you should be prepared to say it openly without all this clandestine business. My last parent tells people to their face what he thinks. And even though he's quite senior, he doesn't mind being criticised by anyone, so long as it's fair.”“Mine's just the same. I wish all scientists were like that.”As my companion turned away, I caught sight of his last parent's name – Professor K. I recoiled as if impaled by thorns. My companion also seemed in shock because he'd stopped in mid-turn and was gawping at my last parent's name with comparable horror. An awkward silence…We looked at each other for a moment, then both broke out laughing.

The Halberd at Red Cliff: Jian'an and the Three Kingdoms

The Halberd at Red Cliff: Jian'an and the Three Kingdoms

(Invited) Plasma Assisted Enhancement in Optical and Electronic Properties of Metal Nanoparticles: Application in Electrochemical Biosensing

The sensitivity enhancement of biosensors can be achieved by increasing the active surface area using nanoparticle-functionalized electrodes. However, these enhancements have certain limitations due to a lack of information about the properties of nanoparticles and their behavior under certain conditions arising due to polydispersity, orientation, and surface roughness.Nanoparticles (NPs) have broad spectra of their applications in electronics. In most sensing methods, the deposition of high-density NPs causes polydispersity. Hence, the distribution achieved on the electrode surface conceals the effects of their size-dependent properties. Moreover, the tethered patterning of recognition molecules on the electrode surface is always represented using simple sketches, which fail to consider the non-idealities in the target-surface arrangement. The data obtained in these cases are averaged over these phenomena is challenging to interpret.The interparticle interactions play an active role in enhancing the sensitivity of the biosensors; these interactions are controlled by the Van der Waals force of attraction and the Electrostatic double layer (EDL) on the surface. According to DLVO mode, the Van der Waals force and EDL on the surface of nanoparticles are dependent on average nanoparticle size, the distance between interacting surfaces, absolute temperature, stern layer thickness, and zeta potential. In this work, we present an experimental setup to control the nanoparticle distribution and the surface charges. The experimental methods consist of depositing nanoparticles by drop-casting, aerosol spraying, and atmospheric plasma-assisted aerosolized deposition (Figure 1).The studies are carried out to investigate the impact of atmospheric plasma treatment on the morphology and optical properties of gold nanoparticles (Au NPs). The morphological changes such as size reduction observed due to the surface plasma treatment of AuNPs are attributed to the symmetric partial oxidation. The plasma deposited films were used as SERS substrate to detect R6G peaks. The intensity of the SERS signal of R6G from plasma-treated AuNP substrate was ~95 times as high as that of the untreated substrate. This enhancement is attributed to the surface roughness, presence of nanogaps, and size reduction after the treatment of NPs on the substrates. The morphological changes are explained by a redox reaction induced by the energy and concentration of reactive species in the plasma environment.Surface architectures of electrochemical biosensors have complex structures which facilitate the effective capture of probes (analytes). A minor defect in the architecture can cause an error in probe-target interaction. In such electrochemical sensors, the primary assumption made is that the sensor has an ideal architecture. Nevertheless, these sensors drive the detection of analytes as the focus is on the probe-target interaction. The underlying surface properties due to the resultant architecture are overlooked while analyzing the detection phenomenon. Hence, assessing the dependence of the sensing process on the non-idealities present is required to achieve reliable measurements.This study also presents the plasma-induced enhancement of electrical properties of Au NPs at room temperature. The distribution of plasma-assisted aerosolized deposited NPs showed the promising architecture for surface modification of the electrochemical sensor that has improved the electrochemical sensing, which is validated by detecting the cortisol molecules (cortisol is a stress biomarker found in interstitial fluids, saliva, and sweat). This improved electrochemical response is due to plasma-assisted surface activation of NPs. Another reason for the enhancement is the increase in the density of NPs on the substrate leading to a larger electroactive surface area (Figure 2A, 2B).These NP functionalized electrodes were then modified using DTSP SAM (dithiobis(succinimidyl propionate) self-assembled monolayer) and cortisol antibodies to detect cortisol molecules. The enhancement in the sensitivity was observed for plasma-assisted AuNPs functionalized electrodes as against drop-casted and aerosol sprayed electrodes (Figure 3A, 3B, 3C, 3D).In summary, a novel technique of plasma-assisted NPs deposition, which could maintain the inter-particle repulsive barrier to obtain the uniform monolayer of NPs, is reported. This barrier potential was achieved due to the de-agglomeration of NPs during deposition using nebulizer in experimental assembly and providing the surface excitation and surface charge tuning of NPs during plasma-assisted deposition. The properties of plasma-treated NP films at room temperature are comparable to the thermally-treated films at higher temperatures. This unique feature can be used for processing metal nanoparticles at room temperatures for designing sensitive SERS substrates on flexible materials such as polymers, papers, and textiles. Figure 1