Computing the Weil representation of a superelliptic curve

We study the Weil representation $\rho$ of a curve over a $p$-adic field with potential reduction of compact type. We show that $\rho$ can be reconstructed from its stable reduction. For superelliptic curves of the form $y^n=f(x)$ at primes $p$ whose residue characteristic is prime to the exponent $n$ we make this explicit

Efficient Human Vision Inspired Action Recognition using Adaptive Spatiotemporal Sampling

Adaptive sampling that exploits the spatiotemporal redundancy in videos is critical for always-on action recognition on wearable devices with limited computing and battery resources. The commonly used fixed sampling strategy is not context-aware and may under-sample the visual content, and thus adversely impacts both computation efficiency and accuracy. Inspired by the concepts of foveal vision and pre-attentive processing from the human visual perception mechanism, we introduce a novel adaptive spatiotemporal sampling scheme for efficient action recognition. Our system pre-scans the global scene context at low-resolution and decides to skip or request high-resolution features at salient regions for further processing. We validate the system on EPIC-KITCHENS and UCF-101 datasets for action recognition, and show that our proposed approach can greatly speed up inference with a tolerable loss of accuracy compared with those from state-of-the-art baselines. Source code is available in https://github.com/knmac/adaptive_spatiotemporal

Revisiting LARS for Large Batch Training Generalization of Neural Networks

LARS and LAMB have emerged as prominent techniques in Large Batch Learning (LBL), ensuring the stability of AI training. One of the primary challenges in LBL is convergence stability, where the AI agent usually gets trapped into the sharp minimizer. Addressing this challenge, a relatively recent technique, known as warm-up, has been employed. However, warm-up lacks a strong theoretical foundation, leaving the door open for further exploration of more efficacious algorithms. In light of this situation, we conduct empirical experiments to analyze the behaviors of the two most popular optimizers in the LARS family: LARS and LAMB, with and without a warm-up strategy. Our analyses give us a comprehension of the novel LARS, LAMB, and the necessity of a warm-up technique in LBL. Building upon these insights, we propose a novel algorithm called Time Varying LARS (TVLARS), which facilitates robust training in the initial phase without the need for warm-up. Experimental evaluation demonstrates that TVLARS achieves competitive results with LARS and LAMB when warm-up is utilized while surpassing their performance without the warm-up technique

A STUDY ON MULTI-OBJECTIVE OPTIMIZATION OF PLUNGE CENTERLESS GRINDING PROCESS

ABSTRACT Round component with the minimum value of surface roughness and roundness error is the goal of most of the fine machine processes. This paper presents the research on optimization of plunge centerless grinding process when grinding the 20X-carbon infiltration steel (ГOCT standardRussia) to achieve the minimum value of surface roughness and roundness errors. The input parameters are center height angle of the workpiece ( β ), longitudinal dressing feed-rate ( sd S ), plunge feed-rate ( k S ) and control wheel velocity ( dd v ) using the result of 29 sets in central composite design matrix to show the two second orders of surface rounghness and roundness error models. The final goal of this work focuses on the determination of optimum centerless grinding above the parameters for the minimization of surface roughness ( m R

Assessing the Potential of Climate Smart Agriculture in Large Rice Field Models in Vietnam

This study assesses the economic, social, and environmental impacts of Large Field Models (LFMs) and their potential for promoting Climate-Smart Agriculture (CSA). In Vietnam, the government introduced the Large Field Model (LFM), a type of production organization, in which enterprises or cooperatives establish a cooperative relationship with farmers to apply a unification production procedure by providing production inputs (including material and technical support) and/or buying outputs from producers. These LFMs can be classified under three different forms based on the extent of those linkages: (1) farmers contribute land and/or labour to farmer cooperatives; (2) farmers sign contracts with cooperatives or enterprises and receive inputs; and (3) farmers lease out/sell their land to cooperatives or enterprises. Although the key objectives of constructing LFMs come from requirements in improving rice quality and rice production efficiency, these models also have potential for applying CSA to achieve three CSA pillars: productivity, resilience and mitigation. Productivity: the LFMs ensure integration between enterprises and farmers, wherein rice production is promoted, given that the output is sold at a more stable price. Therefore, farmers confidently manage their business to increase productivity. In addition, higher output price and lower production cost is observed from LFMs’ production. Better output price comes from the commitments of enterprises and higher rice quality produced from LFMs. The reduction in production costs is also achieved by taking advantage of economy of scale to apply modern agricultural machinery (such as tractors) and thus reduce labour costs. Resilience: this CSA pillar is created indirectly from LFMs. In general, as farmers use LFMs, they have a better chance to access certified seeds and follow the production procedures of enterprises under the direct support from technicians, and they are less likely to be exposed to disease epidemics than non-participant farmers. In addition, farmers who sign contracts with enterprises/cooperatives or work in LFMs tend to share their knowledge and discuss weather issues with technicians before deciding when to sow or harvest to reduce climate risks. Mitigation: the LFM production contributes to reduced GHG emissions. LFMs created a foundation to apply advanced cultivation methods and to follow strictly modern techniques such as: One Must Five Reductions (1M5Rs), Three Reductions Three Gain (3R3G), 4 Alternate Wetting and Drying (AWD), System of Rice Intensification (SRI), and Deep Fertilizer Placement (DPF). The synchronized irrigation timing or flattened surface field of LFMs also contributes more efficient water use. Moreover, this model changes farmer behaviours toward more efficient and environmentally friendly paddy straw treatment to mitigate environmental impacts. In sum, there are potentials for promoting CSA application in LFMs. The integration developed through LFMs will produce friendly and mutually beneficial networks of farmers to share knowledge and modern techniques. This also encourages farmers to improve cultivating skills and output quality to sustain their contracts with better enterprises in the long run. In addition, the pressure from climate risks will push farmers to act collectively to adapt and mitigate environmental impacts. These potentials should be accompanied by the strong support from the government through its response to climate changes in the Nationally Determined Contribution (NDCs). However, there are still many constraints for expanding CSA application into LFMs. First, traditional cultivation and small landholding habits make it difficult for enterprises to accumulate land to form LFMs. Even when farmers agree to contribute their land to cooperatives, this model is still struggling to establish the appropriate benefit-sharing method in order to keep it working smoothly in the long run, especially due to land price fluctuations. Second, there are infrastructure-related issues. Some types of CSA practices require infrastructure support, for example irrigation systems for applying Alternate Wetting and Drying (AWD). Finally, there is a need for a legal mechanism to bind contracts between enterprises and farmers, especially under high price volatility. Vietnam’s policy system to enhance CSA application and expand LFMs is still characterized by limitations related to effectiveness, validation and public-private participation. This requires a change to attract the participation of local government, enterprises, and farmers. For example, experience from other countries shows that in the case of small scale production, legal measures would not be feasible because of high transaction costs. Therefore, using community value to bind farmers to contracts is the most feasible measure that has been proven. In addition, support for developing agricultural insurance and infrastructure investment is important. However, before expanding CSA application into LFMs, detailed studies of LFMs in each region are required because each model might be more efficient for one specific region with a specific crop

Dietary patterns and risk factors for Type 2 diabetes mellitus in Fijian, Japanese and Vietnamese populations

Diabetes mellitus is now a serious and increasing problem in Asian countries, where dietary patterns have shifted toward Westernized foods and people are becoming more sedentary. In order to elucidate the relationship of dietary habits to the development of diabetic risk factors, the dietary patterns of 200 Fijian, 171 Japanese and 181 Vietnamese women of 30–39 years of age were investigated using 3 day–24 h recall or dietary records. Anthropometric measurements and glycosuria tests were also conducted. The dietary trends of Fijians and Japanese have changed drastically in the past 50 years, while Vietnamese have been minimally influenced by Western dietary habits. The mean 24 h dietary intake showed that Fijians had the highest energy intake. Energy intake from fat was only 13% for Vietnamese, but over 30% for Japanese and Fijians. Percentage of body fat was higher in Vietnamese than in Japanese, though there were no significant differences in body mass index (BMI). In the overweight and obese women, Vietnamese had higher abdominal obesity than Japanese. The prevalence of obesity (BMI � 30 kg/m2) was 63.0% for Fijians, 1.8% for Japanese and 1.1% for Vietnamese. Glycosuria testing yielded the most positive cases among Fijians. Dietary transition and dietary excess appear to be potential risk factors for diabetes in Fijian women

A modern purification by accelerated solvent extraction and centrifugal partition chromatography and biological evaluation of capsaicin from Capsicum chinense

A special alkaloid compound known as capsaicin, which can only be found in the fruit of the Capsicum plant, was isolated and tested for its anti-inflammatory activity. The purpose of this work is to establish a simple and quick approach for capsaicin purification utilizing centrifugal partition chromatography (CPC) as well as an effective method - accelerated solvent extraction (ASE), for extracting capsaicin from Capsicum chinense. After purification, capsaicin was validated by HPLC-DAD at 281 nm to be > 90% purity. The in vivo anti-inflammatory activity of the isolated capsaicin was also investigated, and the IC50 value of the capsaicin was determined to be 57.61 µg/mL. The current work emphasizes how an ASE and CPC system may combine to extract high-purity capsaicin from Capsicum chinense, which have the anti-inflammatory activity, as we evaluated in the experiment

A preliminary study to establish the transfected CHO cell lines which highly express Trastuzumab - A biosimilar product of Herceptin

Human epidermal growth factor receptor 2 (HER2) has been identified as a molecular target for breast cancer therapy, such as Trastuzumab (Herceptin®). This has been shown to improve patient survival substantially. The current study is aiming to locally produce an anti-HER2 monoclonal antibody (named Trastuzumab) which has an equivalent biological properties in comparison with the original version, Herceptin®). In silico design and construction of recombinant vectors, as well as the establishment of transfected cell lines with high expression of Trastuzumab were performed. Based on the protein sequences obtained from the Drugbank, the DNA sequences encoding for the light chain (Tras-Lc) and heavy chain (Tras-Hc) of Trastuzumab were optimized and integrated into pNanogen-Hygro and pNanogen-Puro vectors, respectively. The Neon Transfection System was used to co-transfect the pNanogen-Tras-Lc-Hygro and pNanogen-Tras-Hc-Puro constructs into CHO cells. Different co-transfected single-cell-colonies selected on media supplemented with hygromycin and puromycin were used for ELISA and SDS-PAGE assays to identify the CHO cell lines which highly express Trastuzumab. Based on the present results, 30μg of both constructs were suitable for DNA co-transfection. After 07 days of culture, the highest amount of Trastuzumab (561 µg/ml) was obtained from the H06LD68 cell line

TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval

3D object retrieval is an important yet challenging task, which has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and sketch queries, which are often unfriendly interactions for common users. In order to overcome these limitations, this paper presents a novel SHREC challenge track focusing on text-based fine-grained retrieval of 3D animal models. Unlike previous SHREC challenge tracks, the proposed task is considerably more challenging, requiring participants to develop innovative approaches to tackle the problem of text-based retrieval. Despite the increased difficulty, we believe that this task has the potential to drive useful applications in practice and facilitate more intuitive interactions with 3D objects. Five groups participated in our competition, submitting a total of 114 runs. While the results obtained in our competition are satisfactory, we note that the challenges presented by this task are far from being fully solved. As such, we provide insights into potential areas for future research and improvements. We believe that we can help push the boundaries of 3D object retrieval and facilitate more user-friendly interactions via vision-language technologies.Comment: arXiv admin note: text overlap with arXiv:2304.0573