13 results about "Southeast asia" patented technology

The present application relates to the technical field of rubber, in particular to a kind of giant engineering machinery tire anti-split body rubber composition and preparation method thereof. With 100 parts by weight of natural rubber component as benchmark, further comprising the following components: natural rubber 100 parts, carbon black 40-50 parts, zinc oxide 6-8 parts, cobalt salt 0.2-0.4 parts, antioxidant 2246 0.5-1 part, antioxidant S-TMQ 0.2-1.0 parts, N,N'-4,4'-diphenyl methane bismaleimide 0.5-1.5 parts, insoluble sulfur 8-12 parts, accelerator 0.3-0.7 parts, anti-scorching agent 0.05-0.15 parts. The present application solves the shortcomings of lower adhesive property of body rubber and insufficient anti-splitting ability of existing technology under harsh road conditions and hot and humid, steam, salt water environment, greatly reduces the occurrence probability of body delamination and bead bulging under hot and humid environment in Southeast Asia, improves the anti-splitting ability of body rubber, and ensures the service life of giant tire under high load operation.

This invention discloses a universal detection method for tumor antigen-specific thymus-dependent lymphocytes in a broad population of East Asia, applicable to lung cancer and gastrointestinal cancers. The broad-spectrum T-cell epitope peptide library used in this detection method contains specific antigen T-cell epitope peptides presented by 13 HLA-A molecules, 15 HLA-B molecules, and 14 HLA-C molecules with an allele frequency greater than 1% in the East Asian population. The total gene frequencies of these dominant HLA-A, B, and C molecules account for approximately 95%, 71%, and 93% of the Chinese population, respectively, and are similar in total gene frequencies in Northeast and Southeast Asian populations. Therefore, this detection method is applicable to the vast majority of individuals in this region, providing a universal method for evaluating specific tumor antigen-specific T-cell immune function in patients with lung cancer or gastrointestinal tumors.

The application belongs to the technical field of signal amplifiers, and particularly relates to a signal amplification adapter for power grid upgrading and reconstruction, which comprises a power module, a filtering module, an input adjusting module, a three-phase and zero sequence operational amplifier module, a phase detection and correction module and an output protection module. The input adjusting module comprises a filtering unit, which is connected with A-phase output, B-phase output, C-phase output and zero sequence signal respectively for filtering out high harmonic interference. The phase detection and correction module comprises a phase detection unit and a phase correction unit. The input of the phase detection unit is connected with the output of the three-phase and zero sequence operational amplifier module for detecting phase difference. The input of the phase correction unit is connected with the output of the phase detection unit for correcting phase difference. Through use of the application, matching work of electronic voltage sensors and electromagnetic electric meters under voltage characteristics in Southeast Asia can be realized.

This invention relates to the field of artificial intelligence technology and discloses a method and system for optimizing and generating audio and video subtitles for less commonly spoken languages. The method includes the following steps: Step 1: Audio extraction and preprocessing; Step 2: Language recognition for the less commonly spoken language; Step 3: Language-aware punctuation restoration module; Step 4: Subtitle readability-driven segmentation module; Step 5: Subtitle format encapsulation and output. This application establishes a complete technical process encompassing audio preprocessing, language-aware speech recognition, structured text restoration, subtitle segmentation optimization, and time alignment. This method significantly improves the accuracy of speech-to-text conversion in less commonly spoken language videos and enhances the structural integrity and readability of subtitles. It is particularly suitable for practical application scenarios involving less commonly spoken languages ​​in regions such as Southeast Asia, where data is scarce and languages ​​are diverse. It has broad application value and practical significance in media dissemination, educational videos, and government services.

This invention discloses a global multi-regional cross-border data compliance AI control and adaptation system and method, aiming to solve the technical limitations of existing single-machine, single-jurisdictional cross-border data terminals that locally carry the full set of compliance risk control computing power, lack of three types of dedicated cross-border hardware, inability to retain overseas offline cross-border materials offline, manual solidification of multi-country data control rules, and lack of layered adaptation for full-domain risk control. This invention employs a five-layer cloud-based, three-type cross-border hardware collaborative GPU architecture. The three hardware innovations include a multi-country regulatory adaptation hardware gateway, full-domain risk control hardware, and a wearable terminal cross-border data preprocessing module (a generalized component for human body data collection). The hardware only caches lightweight cross-border materials and compliance summaries. The cloud-based global multi-jurisdictional compliance parallel parsing, AI four-dimensional cross-border control, seven-day regional compliance weight iteration, and full-domain three-level risk control are all carried by cloud GPUs. It is equipped with a DAG cross-border flow distributed evidence storage cluster and an independent collaborative simulation dataset. The entire hardware and computing algorithm can be independently and completely reproduced. This invention is applicable to cross-border data compliance governance in multiple regions, including Europe, America, Southeast Asia, Japan, South Korea, and the Middle East, for various enterprises in manufacturing, cultural and creative industries, pharmaceuticals, and agriculture. It achieves objective operational performance such as secure retention of overseas offline cross-border materials, simultaneous compliance verification in multiple countries, regional and hierarchical data flow, comprehensive layered risk control, and full traceability of cross-border business audits.

The invention provides a physical constraint enhanced type encoder-decoder network model. The model adopts an enhanced encoder-decoder architecture, and the architecture combines a normalized space-time convolutional memory network and a space channel dual attention module. The normalized spatio-temporal convolutional memory network enhances the multi-scale temporal precipitation and cloud top temperature features extracted from the main encoder. The space channel double attention module further guides the network to pay attention to important features in space and channel dimensions. In addition, in order to better capture the space-time evolution trend of rainfall and the learning process of the constraint model, the model designs a new physical constraint loss function. For coastal areas of China and Southeast Asia, the model carries out rainfall forecasting hour by hour by using global rainfall measurement (GPM) rainfall data and Himawari satellite observation data.

The application discloses a kind of amber origin identification method and device based on multispectral test, by being divided into three production areas corresponding amber samples of each amber sample, the first amber sample of European Baltic coast production area is carried out Raman spectrum collection, and according to the first Raman spectrum, the amber sample origin of first amber sample is obtained and divided into production area, the second amber sample of southeast Asia production area is carried out Raman spectrum collection, and according to the second Raman spectrum, the amber sample origin of second amber sample is obtained and divided into production area, the third amber sample of American Caribbean coast production area is carried out multispectral collection, and according to the first fluorescence spectrum and third Raman spectrum, the amber sample origin of third amber sample is obtained and divided into production area.Compared with prior art, the application improves the accuracy of different origin amber identification by using multispectral test method combining infrared spectrum, Raman spectrum and fluorescence spectrum.

Despite recent efforts to eradicate malaria worldwide, this parasitic disease is still considered a major public health problem, with a total of 219 million malaria cases and 435,000 deaths in 2017 After a decade of use, however, resistance to CQ has emerged in some locations, including Southeast Asia, South America, and the Western Pacific region, spreading progressively into malaria-endemic areas, including Africa, where increases in malaria mortality have been observed. This has led, in recent years, to the adoption of artemisinin-based combination therapies. Artemisinin-based combination therapies remain effective in most parts of the world, but recent cases of resistance in Southeast Asia call for new approaches and especially new drugs to treat malaria. Thus, the present invention features CQ analogues of Formula (I) that exhibited high activity against CQ-sensitive and CQ-resistant blood parasites and were also active in mice. The present invention also provides pharmaceutical compositions comprising the compounds of Formula (I), use of said compounds, and methods for treating conditions caused by blood parasites.

Insomnia is a widespread health issue affecting cognitive abilities. Eurycoma Longifilia (EL), a Southeast Asian adaptogen herb known for its aphrodisiac use. This open-label clinical human trial examined EL's impact on treating insomnia looking at sleep, cognitive functioning, and psychological well-being. 46 healthy participants aged 21-41, with Insomnia Severity Index (ISI) score ≥8 took one 200mg EL extract capsule daily for 6 weeks and completed ≥ 90% of dosage. Assessments including ISI, Inquisit Stroop task, Digitspan, WHO-QOL were done at pre-intervention (T0), 3 weeks (T1), 6 weeks (T2), and 10 weeks (T3). Differences for assessments between each timepoints and T0 were assessed using Linear Mixed Model analysis with participants as a random effect. EL improved psychological well-being, sleep quality and consequently cognitive flexibility, working memory.

The invention relates to the technical field of clinical molecular diagnosis and individualized tumor medicine, in particular to a group of biomarkers related to prognosis of children acute lymphocytic leukemia and application of the biomarkers. The invention aims to provide an ApopScore-based biomarker and a prognosis risk assessment model for quantifying the anti-apoptosis activity of a child B-ALL patient, predicting the recurrence risk, assessing the early curative effect and the long-term outcome and assisting the adjoint diagnosis. Therefore, the invention provides a new method for quantifying the apoptosis signal, and a prediction result is highly related to clinical outcomes (MRD, OS and CIR), so that the biomarker provided by the invention can be used as a companion diagnostic tool for guiding Venetoclax and drug combination; in addition, consistency verification is carried out on different people (East Asia, Southeast Asia, Europe and America, and Middle and American), and the clinical generalization performance is high.

The invention discloses a Southeast Asia thermal wave season forecasting method based on tropical waves and artificial intelligence, which comprises the following steps of: acquiring and preprocessing multi-source weather forecasting data and observation data, and dynamically correcting and fusing the forecasting data based on a Kalman filtering method; fourier transform and band-pass filtering methods are adopted, tropical wave signals of different scales are separated and extracted from the data, the tropical wave signals comprise Madden-Julian oscillation MJO, Kelvin waves and Rossby waves, and a data set reflecting the multi-scale characteristics of the tropical waves is constructed; establishing a conditional diffusion model integrated with a multi-scale feature fusion module, combining tropical wave features with regional meteorological elements, and performing optimization training on the model based on a historical training set; inputting weather forecast data of preset time into the trained conditional diffusion model, and generating a corresponding thermal wave risk spatial-temporal distribution forecast product; according to the method, the complex spatial-temporal characteristics of heat wave evolution can be reflected, and the uncertainty can be quantified through set prediction.

The utility model presents the formulation of breadfruit (Artocarpus altilis) flakes (kropek) in its Claim. Breadfruit is a highly underutilized fruit crop with tremendous potential to address global hunger due to the fruit being rich in essential vitamins and minerals. Meanwhile, kropek, also known as fish crackers or prawn crackers, is a cracker made from starch or animal skin and other ingredients that serve as flavoring. Most kropek are deep fried and are popular snacks in maritime Southeast Asia, including the Philippines. The technical problem that this disclosure aims to address is the underutilization of breadfruit; the technical solution that this utility model provides is the innovative incorporation of breadfruit into this popular food product, which will result in the promotion of its utilization, minimized food waste, and the exploration of the crop’s full economic potential while providing consumers a nutritious and innovative food product.