Manipulation Techniques Research Articles

Acoustic vortex-based dynamic lens for light focusing and steering.

This study explores a technique for light manipulation using an acoustic vortex generated by a high-intensity focused ultrasound transducer. The acoustic vortex forms a ring of bubble wall near the high-pressure region, creating a lens-like structure that can effectively focus a laser beam. The effects of varying acoustic pressures and dissolved oxygen content on the focused ultrasound and vortex waveforms were tested. Results showed that the vortex waveform could enhance the laser beam peak intensity by 55.6% and reduce its full width at half maximum from 1.16 mm to 0.91 mm. Additionally, the study demonstrated the capability to dynamically steer the laser beam at angles ranging from 0° to 0.7°, achieving precise control without the need for mechanical components. This technique offers a stable, real-time, and on-demand method for light manipulation, with potential applications in various liquid environments and heterogeneous media. The study also highlights current hardware limitations and suggests future improvements for optimizing parameters and further exploring related mechanisms.

Investigating Object Translation in Room-scale, Handheld Virtual Reality.

Handheld devices have become an inclusive alternative to head-mounted displays in virtual reality (VR) environments, enhancing accessibility and allowing cross-device collaboration. Object manipulation techniques in 3D space with handheld devices, such as those in handheld augmented reality (AR), have been typically evaluated in table-top scale and we currently lack an understanding of how these techniques perform in larger scale environments. We conducted two studies, each with 30 participants, to investigate how different techniques impact usability and performance for room-scale handheld VR object translations. We compared three translation techniques that are similar to commonly studied techniques in handheld AR: 3DSlide, VirtualGrasp, and Joystick. We also examined the effects of target size, target distance, and user mobility conditions (stationary vs. moving). Results indicated that the Joystick technique, which allowed translation in relation to the user's perspective, was the fastest and most preferred, without difference in precision. Our findings provide insights for designing room-scale handheld VR systems, with potential implications for mixed reality systems involving handheld devices.

Histological Analysis of Somatic Embryogenesis from Immature Zygotic Embryo of Wild Banana Musa acuminata ssp. malaccensis

Somatic embryogenesis, a crucial plant regeneration method, has become indispensable for crop improvement, particularly for species reliant on somatic cell manipulation techniques. Optimization of this process necessitates an understanding of the developmental stages involved. This study investigates the histological aspects of somatic embryogenesis in Musa acuminata ssp. malaccensis derived from immature zygotic embryos. Through detailed histological analysis, we aimed to elucidate the morphological changes and cellular organization occurring during the various stages of somatic embryogenesis, from induction, culture proliferation, and somatic embryo development to plantlet conversion. The initial stages of embryogenesis, characterized by nodules, were primarily composed of meristematic cells with high cell division activity. These cells contained tetrad-like structures that could develop into distinct two- and four-celled proembryoids or proembryogenic aggregates. Our histo-anatomical analysis revealed that embryogenic cultures proliferated through multiple pathways simultaneously: somatic embryo budding, proembryo formation, and pro-embryonic mass formation from both internal and peripheral cells. At the stage of somatic embryo development, embryos with a well-defined protoderm layer, containing cells with prominent nuclei and dense cytoplasm, potentially regenerate into plantlets. Furthermore, histological examination revealed the presence of procambium within mature somatic embryos, which subsequently developed into the vascular system of the complete plantlet

Regional Sensorimotor Effects of Chiropractic Spinal Manipulation: Preliminary Results From an Experimental Study.

The purpose of this study was to assess the effects of different spinal manipulation (SM) techniques and target segments on a specific dermatome and myotome, when compared with a remote spinal cord segment that served as a control location. Twenty-nine healthy volunteers were randomized to receive instrumental (Activator IV, Activator Methods International Ltd) or manual SM at the C6, C1, and T4 vertebral segments in 3 independent sessions. Pressure pain thresholds (PPTs) and muscle strength were examined at the C6 (test) and L4 (control) dermatomes and myotomes, at baseline and after intervention. Linear mixed-effects models were used to analyze changes over time and interindividual variability. Pressure pain thresholds significantly increased at both proximal and distal C6 dermatome locations (P < .05), irrespective of the technique and segment of application (P > .2). No significant changes were observed at the L4 dermatome. Muscle strength remained unchanged throughout the study. Multilevel modeling revealed significant associations between increased PPTs along the C6 dermatome (P < .001), whereas the combination of technique and target segment predicted PPT increases at the proximal C6 dermatome. These findings support regional, rather than segmental mechanisms underlying the sensory effects of SM. Specifically, significant increases in PPTs along the C6 dermatome suggest localized effects on pain sensitivity, which may depend on the target spinal region. Further investigation is needed to better understand these regional changes of SM and their potential clinical implications.

Single and entangled photon pair generation using atomic vapors for quantum communication applications

Significant progress has been achieved in leveraging atomic systems for the effective operation of quantum networks, which are essential for secure and long-distance quantum communication protocols. The key elements of such networks are quantum nodes that can store or generate both single and entangled photon pairs. The primary mechanisms leading to the production of single and entangled photon pairs revolve around established techniques such as parametric down-conversion, four-wave mixing, and stimulated Raman scattering. In contrast to solid-state platforms, atomic platforms offer a more controlled approach to the generation of single and entangled photon pairs, owing to the progress made in atom manipulation techniques such as trapping, cooling, and precise excitation schemes facilitated by the use of lasers. This review article delves into the techniques implemented for generating single and entangled photon pairs in atomic platforms, starting with a detailed discussion of the fundamental concepts associated with single and entangled photons and their characterization techniques. The aim is to evaluate the strengths and limitations of these methodologies and offer insights into potential applications. Additionally, the article will review the extent to which these atomic-based systems have been integrated into operational quantum communication networks.

Reprogramming the genetic code with flexizymes.

In the canonical genetic code, the 61 sense codons are assigned to the 20 proteinogenic amino acids. Advancements in genetic code manipulation techniques have enabled the ribosomal incorporation of nonproteinogenic amino acids (npAAs). The critical molecule for translating messenger RNA (mRNA) into peptide sequences is aminoacyl-transfer RNA (tRNA), which recognizes the mRNA codon through its anticodon. Because aminoacyl-tRNA synthetases (ARSs) are highly specific for their respective amino acid-tRNA pairs, it is not feasible to use natural ARSs to prepare npAA-tRNAs. However, flexizymes are adaptable aminoacylation ribozymes that can be used to prepare diverse aminoacyl-tRNAs at will using amino acids activated with suitable leaving groups. Regarding recognition elements, flexizymes require only an aromatic ring in either the leaving group or side chain of the activated amino acid, and the conserved 3'-end CCA of the tRNA. Therefore, flexizymes allow virtually any amino acid to be charged onto any tRNA. The flexizyme system can handle not only L-α-amino acids with side chain modifications but also various backbone-modified npAAs. This Review describes the development of flexizyme variants and discusses their structure and mechanism and their applications in genetic code reprogramming for the synthesis of unique peptides and proteins.

Fusion Imaging Objectively Demonstrates Improved Pancreas Visualization through Manipulation Techniques: A Prospective Interventional Study.

Objective Abdominal ultrasonography (AUS) is used to screen for abdominal diseases owing to its low cost, safety, and accessibility. However, the detection rate of pancreatic disease using AUS is unsatisfactory. We evaluated the visualization area of the pancreas and the efficacy of manipulation techniques for AUS with fusion imaging. Methods Magnetic resonance imaging (MRI) volume data were obtained from 20 healthy volunteers in supine and right lateral positions. The MRI volume data were transferred to an ultrasound machine equipped with a fusion imaging software program. We evaluated the visualization area of the pancreas before and after postural changes using AUS with fusion imaging and assessed the liquid-filled stomach method using 500 ml of de-aerated water in 10 randomly selected volunteers. Patients This study included 20 healthy volunteers (19 men and 1 woman) with a mean age of 33.0 (21-37.5) years old. Results Fusion imaging revealed that the visualization area of the entire pancreas using AUS was 55%, which significantly improved to 75% with a postural change and 90% when using the liquid-filled stomach method (p=0.043). Gastrointestinal gas is the main obstacle for visualization of the pancreas. Conclusion Fusion imaging objectively demonstrated that manipulation techniques can improve pancreatic visualization.

Measuring Calcium Signaling at the Primary Cilia.

Cellular signaling is nature's ingenious way for cells to perceive their surroundings and transmit external cues to internal compartments. Due to its critical role in cellular functions, the intricate machinery of molecular signaling has been intensively studied. A diverse arsenal of techniques exists to quantify the molecules involved in these processes. Among them, calcium stands out as a ubiquitous signaling molecule with roles in countless biological pathways. To elucidate its function as a second messenger, methods for measuring intracellular calcium have steadily evolved. This chapter introduces various methods for investigating calcium signaling cascades in cells as well as in cilia (thin hairlike projections) specifically, where calcium signaling is triggered by different cilial manipulation techniques.

Excitation and manipulation of super cavity solitons in multi-stable passive Kerr resonators

We report on the theoretical analysis as well as the numerical simulations about the nonlinear dynamics of cavity solitons in a passive Kerr resonator operating in the multistable regime under the condition of a sufficiently strong pump. In this regime, the adjacent tilted cavity resonances might overlap, thus leading to the co-existence of combinatory states of temporal cavity solitons and the extended modulation instability patterns. The cavity in the regime of multistablity may sustain distinct families of cavity solitons, vividly termed as super cavity solitons with much higher intensity and broader spectra if compared with those in the conventional bi-stable regime. The description of such complex cavity dynamics in the multstable regime requires either the infinite-dimensional Ikeda map, or the derived mean-field coupled Lugiato-Lefever equations by involving multiple contributing cavity resonances. With the latter model, we revealed the existence of different orders of super cavity solitons, whose stationary solutions were obtained by using the Newton-Raphson algorithm. Along this line, with the continuation calculation, we have plotted the Hopf / saddle-node bifurcation curves, thus identifying the existing map of the stable and breathing (super) cavity solitons. With this defined parameter space, we have proposed an efficient method to excite and switch the super cavity solitons by adding an appropriate intensity (or phase) perturbation on the pump. Such deterministic cavity soliton manipulation technique is demonstrated to underpin the multi-level coding, which may enable the large capacity all-optical buffering based on the passive fiber ring cavities.

Potential of media resources in popularizing volunteer activities

The article is devoted to the potential of mass media in popularization of volunteering among students. Development of media technologies inevitably influences the process of socialization. Digital media resources have a strong influence on the formation of behavior patterns, norms and rules, and therefore their capabilities can be used to develop a prosocial orientation in the behavior of young people. Promotion of volunteer activities involves an appropriate choice of channels and methods of presenting information in the mass media, taking into account the characteristics of the audience. Effective constructs in this process can be strategies that involve the possibility of influencing decision-making at the subconscious level, including on the basis of priming, framing, imprinting by focusing the audience's attention on strategically important moments and situations. The combination of social, cognitive and information technologies makes it possible to include manipulative techniques in the communicative and information space that contribute to the formation of an attractive image of volunteering and motivation of corresponding behavioral attitudes.

Wordplay as a technique of linguistic manipulation (based on the American television series “Police Squad!”)

Wordplay as a technique of linguistic manipulation (based on the American television series “Police Squad!”)

Parallel–serial architecture with instance correlation label-specific features for multi-label learning

Feature extraction plays a crucial role in capturing data correlations, thereby improving the performance of multi-label learning models. Popular approaches mainly include feature space manipulation techniques, such as recursive feature elimination, and feature alternative techniques, such as label-specific feature extraction. However, the former does not utilize label information, while the latter does not consider correlation among instances. In this study, we propose a label-specific feature extraction approach embedding instance correlation by a joint loss function under a parallel–serial architecture (LSIC-PS). Our approach incorporates three main techniques. First, we employ a parallel isomorphic network to extract label-specific features, which are directly integrated into a serial network to enhance label correlation. Second, we introduce instance correlation to guide feature extraction in parallel networks, leveraging label information from other instances to improve generalization. Third, we design a parameter-setting strategy to control a new joint loss function, adapting its instance correlation proportion to different datasets. We conduct experiments on sixteen widely used datasets and compare the results of our approach with those of twelve popular algorithms. Across eight evaluation metrics, LSIC-PS demonstrates state-of-art performance in multi-label learning. The source code is available at github.com/fansmale/lsic-ps.

TAENet: Two-branch Autoencoder Network for Interpretable Deepfake Detection

Deepfake detection attracts increasingly attention due to serious security issues caused by facial manipulation techniques. Recently, deep learning-based detectors have achieved promising performance. However, these detectors suffer severe untrustworthy due to the lack of interpretability. Thus, it is essential to work on the interpretibility of deepfake detectors to improve the reliability and traceability of digital evidence. In this work, we propose a two-branch autoencoder network named TAENet for interpretable deepfake detection. TAENet is composed of Content Feature Disentanglement (CFD), Content Map Generation (CMG), and Classification. CFD extracts latent features of real and forged content with dual encoder and feature discriminator. CMG employs a Pixel-level Content Map Generation Loss (PCMGL) to guide the dual decoder in visualizing the latent representations of real and forged contents as real-map and fake-map. In classification module, the Auxiliary Classifier (AC) serves as map amplifier to improve the accuracy of real-map image extraction. Finally, the learned model decouples the input image into two maps that have the same size as the input, providing visualized evidence for deepfake detection. Extensive experiments demonstrate that TAENet can offer interpretability in deepfake detection without compromising accuracy.

Self-assembled near-infrared-photothermal antibacterial Hericium erinaceus β-glucan/tannic acid/Fe (III) hydrogel for accelerating infected wound healing

Bacterial infection severely hinders skin wound healing, highlighting the critical application value of developing antibacterial and anti-inflammatory hydrogel dressings. In this work, we focused on β-glucan from Hericium erinaceus as the research object, and proposed a solvent-induced combined temperature manipulation technique to trigger multilevel self-assembly of β-glucan. Furthermore, we incorporated green synthesized near-infrared photosensitizer tannic acid/iron (III) complex into the system. A hydrogel with exceptional antibacterial properties, capable of responding to near-infrared photothermal stimuli while exhibiting remarkable stiffness and structural consistency, was successfully synthesized. Under near-infrared radiation, HEBG/TA/Fe hydrogels produced local hyperthermia and exhibited excellent antibacterial activity against bacteria-infected wounds. Moreover, the HEBG/TA/Fe hydrogel demonstrates its ability to regulate cytokines by effectively inhibiting the production of inflammatory mediators TNF-α and IL-6, while simultaneously enhancing the expression of cell proliferation factor KI-67 and markers associated with angiogenesis such as CD31 and α-SMA. Notably, the results of tissue staining revealed that NIR + HEBG/TA/Fe5 hydrogel could effectively promoting granulation and vascularization, improving collagen deposition in infected wounds thereby accelerating the healing process. These findings indicate that mixed hydrogels exhibit potential as viable options for the treatment of bacterial infections.

Method for Bottle Opening with a Dual-Arm Robot.

This paper introduces a novel approach to robotic assistance in bottle opening using the dual-arm robot TIAGo++. The solution enhances accessibility by addressing the needs of individuals with injuries or disabilities who may require help with common manipulation tasks. The aim of this paper is to propose a method involving vision, manipulation, and learning techniques to effectively address the task of bottle opening. The process begins with the acquisition of bottle and cap positions using an RGB-D camera and computer vision. Subsequently, the robot picks the bottle with one gripper and grips the cap with the other, each by planning safe trajectories. Then, the opening procedure is executed via a position and force control scheme that ensures both grippers follow the unscrewing path defined by the cap thread. Within the control loop, force sensor information is employed to control the vertical axis movements, while gripper rotation control is achieved through a Deep Reinforcement Learning (DRL) algorithm trained to determine the optimal angle increments for rotation. The results demonstrate the successful training of the learning agent. The experiments confirm the effectiveness of the proposed method in bottle opening with the TIAGo++ robot, showcasing the practical viability of the approach.

Manipulation Techniques in the Novel “Crime and Punishment” by F. Dostoevsky

Nowadays, interdisciplinary research is actively developing. Such studies are of importance in literary studies as well. In this article we consider the novel Crime and Punishment by Fyodor Dostoevsky from the position of psychology. In particular, we consider the depiction of manipulation in the novel. We study manipulative strategies and tricks used by the characters to achieve their goals. Particular attention is paid to the manipulative techniques and tactics of manipulator characters: Raskolnikov, Porfiry Petrovitch, Svidrigailov, Luzhin, Dounia. The analysis has shown that practically all the characters in the novel are either manipulators themselves or are subjected to manipulation. The only character in the novel who acts only as a manipulator is Svidrigailov. He is also the most skillful manipulator in the novel. We also show how effective the manipulation was by looking at the reactions of the victims of the manipulation: Rodion Raskolnikov, Dounia, Pulcheria Alexandrovna. Our aim was not only to identify manipulative moves in the novel, but also to show their influence on the plot. В настоящее время активно развиваются такие области литературы, в которых рассматриваются вопросы, лежащие на стыке двух наук: литературы и психологии, литературы и социологии, литературы и философии, литературы и культурологии. В данной статье мы опираемся на достижения психологии, с ее позиций рассматриваем роман Ф.М. Достоевского «Преступление и наказание». Мы, в частности, обращаемся к проблеме манипуляции в романе. Нами исследуются манипулятивные стратегии и уловки, применяемые персонажами для достижения своих целей. Վերջին տարիներին ակտիվորեն զարգանում են գրականության այնպիսի ոլորտներ, որոնք անդրադառնում են երկու գիտությունների՝ գրականության և հոգեբանության, գրականության և սոցիոլոգիայի, գրականության և փիլիսոփայության, գրականության և մշակութաբանության ուսումնասիրությունների խաչմերուկում ընկած խնդիրներին: Այս հոդվածում մենք, մասնավորապես, ապավինում ենք հոգեբանության նվաճումներին: Այս տեսանկյունից մենք դիտարկում ենք Ֆ. Մ. Դոստոևսկու «Ոճիր և պատիժ» վեպը և անդրադառնում ենք մանիպուլյացիայի խնդրին։ Ուսումնասիրում ենք կերպարների կողմից կիրառվող մանիպուլյատիվ տեխնիկան և հնարքները, որոնք նրանք օգտագործել են իրենց նպատակներին հասնելու համար:

AGIL-SwinT: Attention-guided inconsistency learning for face forgery detection

Face forgery detection (FFD) plays a vital role in maintaining the security and integrity of various information and media systems. Forgery inconsistency caused by manipulation techniques has been proven to be effective for generalizing to the unseen data domain. However, most existing works rely on pixel-level forgery annotations to learn forgery inconsistency. To address the problem, we propose a novel Swin Transformer-based method, AGIL-SwinT, that can effectively learn forgery inconsistency using only video-level labels. Specifically, we first leverage the Swin Transformer to generate the initial mask for the forgery regions. Then, we introduce an attention-guided inconsistency learning module that uses unsupervised learning to learn inconsistency from attention. The learned inconsistency is used to revise the initial mask for enhancing forgery detection. In addition, we introduce a forgery mask refinement module to obtain reliable inconsistency labels for supervising inconsistency learning and ensuring the mask is aligned with the forgery boundaries. We conduct extensive experiments on multiple FFD benchmarks, including intra-dataset, cross-dataset and cross-manipulation testing. The experimental results demonstrate that our method significantly outperforms existing methods and generalizes well to unseen datasets and manipulation categories. Our code is available at https://github.com/woody-xiong/AGIL-SwinT.

Optical manipulation of ultrashort laser pulses for applications in challenging environments

Over the last few years, high throughput ultrashort-pulse laser sources have become increasingly affordable. This facilitated the emergence of many applications that require sub-micron precision material modification. Processes have been demonstrated in applications including micro-structuring semiconductor chips, manufacturing complex 3D parts or inscribing optical materials for data storage. Furthermore, recent progress in techniques for the optical manipulation of ultrashort laser pulses opened up new avenues in applications for challenging environments such as those involving high energy physics or particle beam radiotherapy. These applications require high-resolution 3D structures to be produced in radiation tolerant materials, to make particle sensors with the required sensitivity and resolution. For such processes, accurate spatial and temporal structuring and manipulating of optical parameters such as polarization, wavefront and intensity of laser beams, is essential. This paper presents recent results in advanced optical manipulation including the induction of helical or longitudinal fields at the focus. The resulting laser material coupling interactions are characterized and their suitability for making particle sensors from radiation hard materials considered.

DNA Mechanics: From Single Stranded to Self-Assembled.

DNA encodes genetic information and forms various structural conformations with distinct physical, chemical, and biological properties. Over the past 30 years, advancements in force manipulation technology have enabled the precise manipulation of DNA at nanometer and piconewton resolutions. This mini-review discusses these force manipulation techniques for exploring the mechanical properties of DNA at the single-molecule level. We summarize the distinct mechanical features of different DNA forms while considering the impact of the force geometry. We highlight the role of DNA mechanics in origami structures that serve as self-assembled building blocks or mechanically responsive/active nanomachines. Accordingly, we emphasize how DNA mechanics are integral to the functionality of origami structures for achieving mechanical capabilities. Finally, we provide an outlook on the intrinsic mechanical properties of DNA, from single stranded to self-assembled higher-dimensional structures. This understanding is expected to inspire new design strategies in DNA mechanics, paving the way for innovative applications and technologies.

Phenotypic Plasticity in Locusts: Trade-Off Between Migration and Reproduction.

Locusts exhibit phenotypic plasticity in response to population density changes, with distinct phenotypes in the solitary and gregarious phases. In the past decade, many studies have revealed the molecular mechanisms underlying phase changes, which include the change of body coloration, pheromones, behavior, flight, fecundity, immunity, and aging. Our understanding of the molecular mechanisms related to these phenotypic differences has expanded in breadth and depth with the decoding of the locust genome, involving transcriptional, post-transcriptional, translational, and epigenetic regulation. Large-scale regulation networks composed of genes and noncoding RNAs reflect the systematic modifications of the locust phase transition in response to environmental changes. Gene manipulation techniques have verified the functions of specific genes and related pathways in phase changes. This review highlights the latest advances in studies of locust phase changes and suggests that the divergence of energy and metabolism allocation in gregarious and solitary locusts is an adaptive strategy for long-distance migration and local reproduction, respectively. Finally, we propose future research directions and discuss emerging questions in the area of phenotypic plasticity of locusts.