Future Development Research Articles

Chinese Title Generation for Short Videos: Dataset, Metric and Algorithm.

Previous work for video captioning aims to objectively describe the video content but the captions lack human interest and attractiveness, limiting its practical application scenarios. The intention of video title generation (video titling) is to produce attractive titles, but there is a lack of benchmarks. This work offers CREATE, the first large-scale Chinese shoRt vidEo retrievAl and Title gEneration dataset, to assist research and applications in video titling, video captioning, and video retrieval in Chinese. CREATE comprises a high-quality labeled 210 K dataset and two web-scale 3 M and 10 M pre-training datasets, covering 51 categories, 50K+ tags, 537K+ manually annotated titles and captions, and 10M+ short videos with original video information. This work presents ACTEr, a unique Attractiveness-Consensus-based Title Evaluation, to objectively evaluate the quality of video title generation. This metric measures the semantic correlation between the candidate (model-generated title) and references (manual-labeled titles) and introduces attractive consensus weights to assess the attractiveness and relevance of the video title. Accordingly, this work proposes a novel multi-modal ALignment WIth Generation model, ALWIG, as one strong baseline to aid future model development. With the help of a tag-driven video-text alignment module and a GPT-based generation module, this model achieves video titling, captioning, and retrieval simultaneously. We believe that the release of the CREATE dataset, ACTEr metric, and ALWIG model will encourage in-depth research on the analysis and creation of Chinese short videos.

Evaluation of a psychoeducation group for children presenting with functional tic-like behaviours.

We describe the implementation and evaluation of an online psychoeducation group for young people experiencing functional tic-like behaviours (FTLBs) - a type of functional neurological disorder (FND). Across six groups, 50 participants completed pre- and post-group goal-based outcomes (GBOs) and 36 participants completed service-user feedback, which gathered qualitative and quantitative data about participants experiences of the group. Young people and their parents reported significant improvement in their GBOs following the group and increased knowledge and confidence in managing FTLBs. The findings highlight that virtual psychoeducation group intervention is an acceptable and effective first step in treatment of young people with FTLBs. We discuss implications for future intervention development.

A Review of In Vitro and In Silico Swallowing Simulators: Design and Applications.

Swallowing is a primary and complex behaviour that transports food and drink from the oral cavity, through the pharynx and oesophagus, into the stomach at an appropriate rate and speed. To understand this sophisticated behaviour, a tremendous amount of research has been carried out by utilising the in vivo approach, which is often challenging to perform, poses a risk to the subjects if interventions are undertaken and are seldom able to control for confounding factors. In contrast, in silico (computational) and in vitro (instrumental) methods offer an alternate insight into the process of the human swallowing system. However, the appropriateness of the design and application of these methods have not been formally evaluated. The purpose of this review is to investigate and evaluate the state of the art of in vitro and in silico swallowing simulators, focusing on the evaluation of their mechanical or computational designs in comparison to the corresponding swallowing mechanisms during various phases of swallowing (oral phase, pharyngeal phase and esophageal phase). Additionally, the potential of the simulators is also discussed in various areas of applications, including the study of swallowing impairments, swallowing medications, food process design and dysphagia management. We also address current limitations and recommendations for the future development of existing simulators.

Friction and Wear Mathematical Modeling and Optimization Design of Surface Microstructure Parameters of Unfolding Wheel based on Experiment and Numerical Simulation

Objective: In order to improve the friction-increasing and wear-reducing performance of the unfolding wheel surface, the surface microstructure of the unfolding wheel used in the detection of 8 kinds of steel balls was optimized by parameter matching. Method: Firstly, based on Hertz's theory, the contact area between steel balls of different sizes and the unfolding wheel are analyzed. The wear depth model is established based on Archard adhesive wear model. Secondly, the appropriate microstructure parameters for friction and wear experiments were selected. The finite element analysis software is used to simulate the stress on the surface of the microstructure unfolding wheel and calculate the wear depth. According to the experimental results, the relationship between friction coefficient, wear depth and microstructure parameters is obtained by data fitting, and the objective function of optimization design is established. Finally, based on the genetic algorithm DNSGA-II and Python, the parameters are optimized, and the optimal solution is obtained by using the TOPSIS method. Results: The feasibility of the simulation method is verified by friction and wear experiments, and the correctness of the optimization method is verified. Some existing patents on friction and wear of microstructure surfaces are introduced, and the future development of this field is prospected Conclusion: The research shows that the optimal parameters matching of microstructure for steel ball diameters of Ф16.6688 mm~Ф22.2250 mm: the shape is rhombus; the area of a single pit is close to the contact area, which is 0.0319 mm2 ~ 0.0554 mm2; the pit depth is 145 μm~150 μm, and the surface density of microstructure is (5.4~5.6) /mm2.

Strategic Development for a Sustainable Future: Kau Yi Chau Artificial Island Project

The Kau Yi Chau Artificial Island (KYCAI) project is a landmark initiative aimed at addressing Hong Kong's critical land shortage while enhancing its global competitiveness and fostering sustainable development. Situated between Hong Kong Island, Kowloon, and Lantau Island, the project incorporates innovative strategies to balance environmental, social, and economic considerations. Environmental concerns like biodiversity preservation and carbon footprint reduction are tackled through low-carbon building materials, renewable energy, and sustainable transportation. Social justice is promoted by equitable stakeholder engagement, employment opportunities, and fair access to resources. Leadership styles, including transformational and collaborative models, are key to achieving these sustainability goals through effective stakeholder mobilization. The project stands as a testament to strategic planning and collaborative efforts in sustainable urban development, offering valuable insights into balancing environmental, social, and economic goals.

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

Since its introduction in November 2022, ChatGPT has rapidly gained popularity due to its remarkable ability in language understanding and human-like responses. ChatGPT, based on GPT-3.5 architecture, has shown great promise for revolutionizing various research fields, including code generation. However, the reliability and quality of code generated by ChatGPT remain unexplored, raising concerns about potential risks associated with the widespread use of ChatGPT-driven code generation. In this article, we systematically study the quality of 4,066 ChatGPT-generated programs of code implemented in two popular programming languages, i.e., Java and Python, for 2,033 programming tasks. The goal of this work is threefold. First, we analyze the correctness of ChatGPT on code generation tasks and uncover the factors that influence its effectiveness, including task difficulty, programming language, time that tasks are introduced, and program size. Second, we identify and characterize potential issues with the quality of ChatGPT-generated code. Last, we provide insights into how these issues can be mitigated. Experiments highlight that out of 4,066 programs generated by ChatGPT, 2,756 programs are deemed correct, 1,082 programs provide wrong outputs, and 177 programs contain compilation or runtime errors. Additionally, we further analyze other characteristics of the generated code through static analysis tools, such as code style and maintainability, and find that 1,930 ChatGPT-generated code snippets suffer from maintainability issues. Subsequently, we investigate ChatGPT’s self-repairing ability and its interaction with static analysis tools to fix the errors uncovered in the previous step. Experiments suggest that ChatGPT can partially address these challenges, improving code quality by more than 20%, but there are still limitations and opportunities for improvement. Overall, our study provides valuable insights into the current limitations of ChatGPT and offers a roadmap for future research and development efforts to enhance the code generation capabilities of artificial intelligence models such as ChatGPT.

UAV Remote Sensing Technology: A Review of Chinese Agricultural Patents

Background: With the progress of science and technology and the advent of the new era, UAV remote sensing technology has developed rapidly in recent years and the application fields have been increasing. UAV remote sensing technology is widely used in the field of agriculture, crop growth monitoring, crop yield prediction, crop information monitoring, pest and disease detection and other aspects are more prominent. Objective: By analyzing and discussing the existing Chinese patents on UAV remote sensing technology, we summarize the current applications and future development prospects of UAV remote sensing technology in China's agricultural field. Methods: An overview of current Chinese patents on different directions of UAV remote sensing technology in the agricultural field, and an analysis of the methods used to achieve different application implementation effects. Results: By analyzing the existing Chinese patents on UAV remote sensing technology, we conclude that the functions they can achieve for different crops can be applied to the data collection of all crops, and analyze their characteristics to summarize future development trends. Conclusion: Through an in-depth study of Chinese UAV remote sensing patents in agriculture, it can be concluded that UAV remote sensing technology can achieve higher applicability and lower cost in agriculture, and for its information collection for one crop, it can be extended to apply to all crops. In the future, UAV remote sensing technology can be more easily and quickly applied to crop information acquisition in the agricultural field.

Review of Patents Analysis on Floor Robot Vacuum

Background: As the pace of life gets faster, and with the development and progress of society and the continuous improvement of people's pursuit of a convenient and comfortable life, it has become a growing desire for people to get rid of tedious housework. Hygienic automatic cleaning has also become the main demand of people. Objective: Through review, analysis, and discussion of the patents on existing floor robot vacuums, it is expected to find out the development process and main outcomes, along with the main technologies involved, and provide a valuable prediction basis for future research and development directions. Methods: This study aimed to summarize a number of representative patents related to floor robot vacuums and their main components and analyze them in depth to study their technical points and development laws. Results: By summarizing a large number of patents on floor robot vacuums and further analyzing and comparing the characteristics of the patents, the future development trend of floor robot vacuums was further discussed. Conclusion: Through a detailed analysis of the mechanical structure, intelligent control technology, and sensor technology of the existing floor robot vacuums as a whole and the main work unit, this study discussed the ideas and methods of improving the new floor robot vacuum, which is of great significance to its operation and more convenient and intelligent.

Exploring the Therapeutic Marvels: A Comprehensive Review on the Biological Potential of Quinoline-5,8-Dione.

Quinoline-5,8-diones, also referred to as 5,8-quinolinediones or quinolinequinones, have been researched extensively for their antiproliferative effects, where they displayed great results. Other than anticancer, they exhibit multiple activities such as antimalarial, antiviral, antibacterial, and antifungal activities. Natural quinolinequinones have also been known for their significant activities. The review highlights the diverse biological activities exhibited by synthetic quinoline- 5,8-diones over the past two decades. Continued research in this field is warranted to fully exploit the therapeutic potential of these intriguing compounds and their derivatives for future drug development. By comprehensively evaluating the therapeutic applications and biological activities of quinoline-5,8-dione derivatives, this review endeavors to provide researchers and practitioners with a valuable resource that will foster informed decision-making and inspire further investigations into harnessing the immense potential of this intriguing scaffold for the benefit of human health.

"May I Speak?": Multi-modal Attention Guidance in Social VR Group Conversations.

In this paper, we present a novel multi-modal attention guidance method designed to address the challenges of turn-taking dynamics in meetings and enhance group conversations within virtual reality (VR) environments. Recognizing the difficulties posed by a confined field of view and the absence of detailed gesture tracking in VR, our proposed method aims to mitigate the challenges of noticing new speakers attempting to join the conversation. This approach tailors attention guidance, providing a nuanced experience for highly engaged participants while offering subtler cues for those less engaged, thereby enriching the overall meeting dynamics. Through group interview studies, we gathered insights to guide our design, resulting in a prototype that employs light as a diegetic guidance mechanism, complemented by spatial audio. The combination creates an intuitive and immersive meeting environment, effectively directing users' attention to new speakers. An evaluation study, comparing our method to state-of-the-art attention guidance approaches, demonstrated significantly faster response times (p < 0.001), heightened perceived conversation satisfaction (p < 0.001), and preference (p < 0.001) for our method. Our findings contribute to the understanding of design implications for VR social attention guidance, opening avenues for future research and development.

Umami taste components in chicken-spices blends and potential effect of aroma on umami taste intensity

In this study, umami taste intensity (UTI) and umami taste components in chicken breast (CB) and chicken-spices blends were characterized using sensory and instrumental analysis. Our main objective was to assess the aroma-umami taste interactions in different food matrices and reconcile the aroma-taste perception to assist future product development. The impact of key aroma, including vegetable-note “2-pentylfuran”, meaty “methional”, green “hexanal”, and spicy-note “estragole and caryophyllene” on UTI was evaluated in monosodium glutamate and chicken extract. We found that spices significantly decreased UTI and umami taste components in CB. Interestingly, the perceptually similar odorants and tastants exhibited the potential to enhance UTI in food matrices. Methional was able to increase the UTI, whereas spicy and green-note components could reduce the UTI significantly. This information would be valuable to food engineers and formulators in aroma selection to control the UTI perceived by consumers, thus, improving the quality and acceptability of the chicken products.

Patent Technology of Shipborne Stabilized Platform

Background: When a ship is sailing or operating at sea, it is unavoidable to produce sixdegrees- of-freedom movements of rolling, pitching, and yawing under the action of sea wind and waves, which seriously impacts the operation of precision equipment on the ship and the safety of personnel. The ship-borne stabilized platform can isolate the ship's motion and eliminate the impact of sea waves on the personnel and equipment on it to a large extent. With the increasing demand for ship surfaces in marine fields, such as navigation equipment, military facilities, and sea condition simulation, there is an urgent need to study ship-borne platforms with high stability and efficiency to isolate swaying and ensure ship performance. Objective: This study aims to analyse the patents and summarize the characteristics and existing problems of the shipborne platform to provide a reference for the future development of the shipborne stabilized platform. Methods: Various representative patents related to shipborne stabilized platforms and multi-DOF platforms were researched in this study. Results: Through the analysis and comparison of patent technology, the main problems existing in the structure and design principle of the existing shipborne stabilized platform are summarized, and the development trend and direction of the shipborne stabilized platform are discussed. Conclusion: Shipborne stabilization is highly significant in isolating the ship's motion. At present, the ship-borne stabilized platform has produced six degrees of freedom of movement, but due to the improvement of control response requirements, the structure of the platform needs to be further improved. With the development of test technology toward intelligent and big data-driven technology, the shipborne stabilized platform is moving toward cloud computing and large-scale testing.

Research Progress in the Detection of Aflatoxin B1 Based on Aptamers

Abstract: Aflatoxin B1 is highly toxic, mutagenic, teratogenic, and carcinogenic and is a class I carcinogen. Peanuts, cotton, and corn may be affected by AFB1 during cultivation, which can seriously jeopardize human health. Developing a simple, sensitive, and selective method for detecting AFB1 is imminent. Aptamers are obtained through in vitro screening of ligands by single-stranded oligonucleotides (DNA or RNA) through exponential enrichment (SELEX) technology. As emerging highly selective recognition molecules, they have the advantages of strong affinity, good stability, and strong specificity. Because it does not have the function of signal conversion, it cannot produce physicochemical signals that can be detected in the process of specific binding with target molecules, so it is necessary to convert the process of specific binding of aptamers to target molecules into a process of easily detectable physicochemical signal changes. According to different conversion methods, aptamer biosensors are divided into electrochemical aptamer sensors, fluorescent aptamer sensors, colorimetric aptamer sensors, surface Raman-enhanced aptamer sensors, and so on. Herein, the recent progress and application of aflatoxin B1 detection by nucleic acid aptamer biosensors based on the above signals are reviewed, and the future development prospects and challenges of this kind of biosensor are summarized.

Zero-Valent Iron Nanoparticles: Biogenic Synthesis and their Medical Applications; Existing Challenges and Future Prospects.

In the last decade, nanobiotechnology is emerging as a keen prudence area owing to its widespread applications in the medical field. In this context, zero-valent iron nanoparticles (nZVI) have garnered tremendous attention attributed to their cheap, non-toxic, excellent paramagnetic nature, extremely reactive surface, and dual oxidation state that makes them excellent antioxidants and free-radical scavengers. Facile biogenic synthesis, in which a biological source is used as a template for the synthesis of NPs, is presumably dominant among other physical and chemical synthetic procedures. The purpose of this review is to elucidate plant-mediated synthesis of nZVI, although they have been successfully fabricated by microbes and other biological entities (such as starch, chitosan, alginate, cashew nut shell, etc.) as well. The methodology of the study involved keyword searches of electronic databases, including ScienceDirect, NCBI, and Google Scholar (2008-2023). Search terms of the review included 'biogenic synthesis of nZVI', 'plant-mediated synthesis of nZVI', 'medical applications of nZVI', and 'Recent advancements and future prospects of nZVI'. Various articles were identified and reviewed for biogenic fabrication of stable nZVI with the vast majority of studies reporting positive findings. The resultant nanomaterial found great interest for biomedical purposes such as their use as biocompatible anticancer, antimicrobial, antioxidant, and albumin binding agents that have not been adequately accessed in previous studies. This review shows that there are potential cost savings applications to be made when using biogenic nZVI for medical purposes. However, the encountering challenges concluded later, along with the prospects for sustainable future development.

Review of Recent Patents on Smart Bearing

Background: Smart bearing is based on the traditional bearing, which is integrated by sensing devices and control devices, formating a unique bearing structure unit. It uses information processing, automatic control, and other technologies to achieve real-time online monitoring of bearing operating conditions, fault detection, and state control. Compared with ordinary bearings, smart bearings have the characteristics of self-awareness, self-decision, and self-regulation. By analyzing the composition of various types of smart bearings and their working principles, it is beneficial to prospect the future development direction of bearings. Objective: We analyze and organize the patents on smart bearings in recent years, summarize the problems encountered in the development of smart bearings, and propose the development direction of smart bearings in the future to provide a reference for future scientific research. Methods: This paper reviews the patents related to smart bearings and analyzes the composition and structure of smart bearings. The main smart bearings include rolling bearing, sliding bearing, magnetic bearing, and rubber bearing. The principle and structure of these bearings are analyzed. Their advantages and shortcomings are discussed. Results: Through the analysis of relevant patents and papers on smart bearings, the current development status and problems of smart bearings are summarized, the future design of smart bearings is proposed, and the research ideas and directions are proposed. Conclusion: The development of smart bearings is conducive to the timely detection of bearing conditions in the operation process. Except for detection, smart bearings have the functions of judgment, feedback, processing, etc. There are many factors that interfere with the accuracy of the smart bearing judgment and information transfer, so it is necessary to improve the structure and working principle of smart bearings through a variety of measures. In the future, more smart bearings will be invented.

Recent Patents on Rolling Bearing Lubrication Device

Background: Rolling bearings are the core components of mechanical equipment. Lubrication plays an important role in the operating performance of rolling bearings. The research on rolling bearing lubrication devices is beneficial to making the bearings obtain the characteristics which is suitable for the working conditions and improving the bearing's service life. Compared with the traditional lubrication devices, the new ones provide assistance to various bearings, solving many problems. Objective: To review the latest research on rolling bearing lubrication devices, analyze their solutions to rolling bearing lubrication problems, and discuss their advantages and disadvantages for the reference of scholars and engineers. Methods: The representative patents related to rolling bearing lubrication devices are reviewed according to the lubrication method of bearings, including oil lubrication, grease lubrication and solid lubrication. Oil lubrication includes oil mist lubrication, oil-air lubrication, jet lubrication, under ring lubrication and immersion oil lubrication, etc. Grease lubrication includes external and internal lubrication methods. The working principle and characteristics are explained by analyzing the structure of bearing lubrication devices. Results: By comparing different types of rolling bearing lubrication devices, the main problems of the current lubrication devices are summarized and analyzed. The future development of rolling bearing lubrication devices are prospected. Conclusion: The improvement of rolling bearing lubrication devices is conducive to developing bearing lubrication technology. Advanced mechanical equipments require the rolling bearing lubrication devices to have a simple structure, intelligence, and are easy to be installed.

A Review on Soft Exoskeletons for Hand Rehabilitation

Background: How to enhance the quality of life for the elderly has emerged as a key issue in many nations due to the ageing population. Stroke is the most prevalent disease among the elderly; specifically, the hand dysfunction caused by stroke is also a powerful obstacle to the daily life of the elderly. Soft Exoskeletons for Hand Rehabilitation (SEHRs) have become a major trend for the future due to the increasing demand for hand rehabilitation. Objective: To provide a reference for readers in this field by introducing the most recent research developments in the field of SEHR, including their classification and properties. Methods: By reviewing different types of hand rehabilitation exoskeleton research papers and patents, the advantages and disadvantages, differences, and applications of various SEHRs were summarized. Results: According to the driving mode and realizing the function of SEHRs, the structure characteristics of SEHRs are analyzed and compared. The key problems and future development trends of SEHRs were expounded. Conclusion: According to the driving method, the research shows that SEHRs can be divided into Air-Driven Soft Exoskeletons for Hand Rehabilitation (ADSEHRs), Motor-Driven Soft Exoskeletons for Hand Rehabilitation (MDSEHRs), and Hybrid-Driven Soft Exoskeletons for Hand Rehabilitation (HDSEHRs). Future research is required to further optimize the flexibility and adaptability of soft exoskeletons, improve their accuracy and sensitivity, and enhance human-machine interaction with the human hand.

Natural products and synthetic analogs as selective orphan nuclear receptor 4A (NR4A) modulators.

Although endogenous ligands for the orphan nuclear receptor 4A1 (NR4A1, Nur77), NR4A2 (Nurr1), and NR4A3 (Nor-1) have not been identified, several natural products and synthetic analogs bind NR4A members. These studies are becoming increasingly important since members of the NR4A subfamily of 3 receptors are potential drug targets for treating cancer and non-cancer endpoints and particularly those conditions associated with inflammatory diseases. Ligands that bind NR4A1, NR4A2, and NR4A3 including Cytosporone B, celastrol, bis-indole derived (CDIM) compounds, tryptophan/indolic, metabolites, prostaglandins, resveratrol, piperlongumine, fatty acids, flavonoids, alkaloids, peptides, and drug families including statins and antimalarial drugs. The structural diversity of NR4A ligands and their overlapping and unique effects on NR4A1, NR4A2, and NR4A3 suggest that NR4A ligands are selective NR4A modulators (SNR4AMs) that exhibit tissue-, structure-, and response-specific activities. The SNR4AM activities of NR4A ligands are exemplified among the Cytosporone B analogs where n-pentyl-2-[3,5-dihydroxy-2-(nonanoyl)]phenyl acetate (PDNPA) binds NR4A1, NR4A2 and NR4A3 but activates only NR4A1 and exhibits significant functional differences with other Cytosporone B analogs. The number of potential clinical applications of agents targeting NR4A is increasing and this should spur future development of SNR4AMs as therapeutics that act through NR4A1, NR4A2 and NR4A3.

Strain Engineering for Electrocatalytic Overall Water Splitting.

Strain engineering is a novel method that can achieve superior performance for different applications. The lattice strain can affect the performance of electrochemical catalysts by changing the binding energy between the surface-active sites and intermediates and can be affected by the thickness, surface defects and composition of the materials. In this review, we summarized the basic principle, characterization method, introduction strategy and application direction of lattice strain. The reactions on hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) are focused. Finally, the present challenges are summarized, and suggestions for the future development of lattice strain in electrocatalytic overall water splitting are put forward.

The Utilization of Metal-Organic Frameworks and Their Derivatives Composite in Supercapacitor Electrodes.

Up to now, the mainstream adoption of renewable energy has brought about substantial transformations in the electricity and energy sector. This shift has garnered considerable attention within the scientific community. Supercapacitors, known for their exceptional performance metrics like good charge/discharge capability, strong power density, as well as extended cycle longevity, have gained widespread traction across various sectors, including transportation and aviation. Metal-organic frameworks (MOFs) with unique traits including adaptable structure, highly customizable synthetic methods, and high specific surface area, have emerged as strong candidates for electrode materials. For enhancing the performance, MOFs are commonly compounded with other conducting materials to increase capacitance. This paper provides a detailed analysis of various common preparation strategies and characteristics of MOFs. It summarizes the recent application of MOFs and their derivatives as supercapacitor electrodes alongside other carbon materials, metal compounds, and conductive polymers. Additionally, the challenges encountered by MOFs in the realm of supercapacitor applications are thoroughly discussed. Compared to previous reviews, the content of this paper is more comprehensive, offering readers a deeper understanding of the diverse applications of MOFs. Furthermore, it provides valuable suggestions and guidance for future progress and development in the field of MOFs.