228 research outputs found

    Cohen-Macaulay oriented graphs with large girth

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    We classify the Cohen-Macaulay weighted oriented graphs whose underlying graphs have girth at least 55.Comment: We correct typos in Lemma 2.

    Prevalence and structural protein encoding gene sequence (VP) of porcine parvovirus 2 (PPV2) in slaughtered pigs in Central provinces of Vietnam

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    Porcine parvovirus (PPV) is a DNA virus and causative agent of several reproductive problems in sows. This study was conducted to determine the prevalence and analyze the DNA sequence of structural protein encoding gene (VP) of PPV2 genotype in pigs. A total of 146 samples (lung and blood samples) were collected from slaughtered pigs of seven provinces in Central Vietnam during 2018-2019. The overall prevalence of PPV2 was 56.2% (82/146). PPV2 positive rate in each province ranged from 37.5% for Quang Nam to 100% for Quang Binh, with the exception of Da Nang, where no PPV2 positive samples were detected. Nearly complete PPV2-VP gene sequences of three strains were identified with the length of 2,493 nucleotides and deposited in GenBank with accession numbers of OL913365-OL913367. Four nucleotide substitutions were detected in Vietnamese PPV2 isolates and were not observed in PPV2 reference strains. Multiple alignment and comparison of nucleotide and deduced amino acid sequences showed the high similarity within Vietnamese PPV2 strains (95.6-96.5% and 94.7-96.9%, respectively). The PPV2 strains from this study clustered together with the "primitive" PPV2 strains from Myanmar, and strains from China in a main clade in the phylogenetic tree (Cluster A). This is the first report on the prevalence of PPV2 genotype and its VP gene sequence in pigs in Vietnam. This also provides the valuable information on the molecular evolution of locally circulating PPV2 and contributes to the control of PPV-induced SMEDI syndrome in sows, especially in the central provinces of Vietnam

    Evaluate the Results at Minimum 2-Years of Treating Rotator Cuff Tear by Arthroscopic Surgery

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    BACKGROUND: Rotator cuff tear (RCT) is a common injury of the shoulder, especially middle-aged people. Nonoperative treatment, cortisone injections are only effective at an early stage. Open surgery causes postoperative atrophy of the deltoid muscle, so results are limited. Arthroscopic rotator cuff repair surgery has been performed in Vietnam for about ten years, with many advantages such as the ability to accurately assess the lesions and less invasive procedure. In order to have a clearer view, we performed a mid-term assessment of the effectiveness of this surgery. AIM: Evaluate results over 2 years of patients with rotator cuff tears treated with arthroscopic surgery and their quality of life. METHOD: A group of 30 patients were diagnosed with RCT and surgery by arthroscopy to treat at Hanoi Medical University Hospital and Saint Paul Hospital between Jun 2015 and April 2017. The results of the surgeries were assessed by the degree of pain, muscle power, motion of the shoulder joint according to UCLA shoulder score. Evaluate the quality of life through the Rotator Cuff-Quality of Life (RC-QoL) index. RESULTS: The average age was 60.7 years. Female / male ratio was 1.3. Thirty-six months ± 6.41 was the average follow-up time (min 27 – max 50 months). The shoulder function is recorded according to UCLA has an average score of 30.9, therein good and excellent result were 90 %. The mean RC-QoL index was 91.5%. CONCLUSION: Treatment of RCT by arthroscopic surgery that has been evaluated for a minimum of 2 years follow-up showed good results and high quality of patient’s life

    Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation

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    Diffusion models power a vast majority of text-to-audio (TTA) generation methods. Unfortunately, these models suffer from slow inference speed due to iterative queries to the underlying denoising network, thus unsuitable for scenarios with inference time or computational constraints. This work modifies the recently proposed consistency distillation framework to train TTA models that require only a single neural network query. In addition to incorporating classifier-free guidance into the distillation process, we leverage the availability of generated audio during distillation training to fine-tune the consistency TTA model with novel loss functions in the audio space, such as the CLAP score. Our objective and subjective evaluation results on the AudioCaps dataset show that consistency models retain diffusion models' high generation quality and diversity while reducing the number of queries by a factor of 400

    uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures

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    Masked Autoencoders (MAEs) learn rich low-level representations from unlabeled data but require substantial labeled data to effectively adapt to downstream tasks. Conversely, Instance Discrimination (ID) emphasizes high-level semantics, offering a potential solution to alleviate annotation requirements in MAEs. Although combining these two approaches can address downstream tasks with limited labeled data, naively integrating ID into MAEs leads to extended training times and high computational costs. To address this challenge, we introduce uaMix-MAE, an efficient ID tuning strategy that leverages unsupervised audio mixtures. Utilizing contrastive tuning, uaMix-MAE aligns the representations of pretrained MAEs, thereby facilitating effective adaptation to task-specific semantics. To optimize the model with small amounts of unlabeled data, we propose an audio mixing technique that manipulates audio samples in both input and virtual label spaces. Experiments in low/few-shot settings demonstrate that \modelname achieves 4-6% accuracy improvements over various benchmarks when tuned with limited unlabeled data, such as AudioSet-20K. Code is available at https://github.com/PLAN-Lab/uamix-MAEComment: 5 pages, 6 figures, 4 tables. To appear in ICASSP'202

    Fast degradation of dyes in water using manganese-oxide-coated diatomite for environmental remediation

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    By a simple wet-chemical procedure using a permanganate in the acidic medium, diatomite coated with amorphous manganese oxide nanoparticles was synthesized. The structural, microstructural and morphological characterizations of the as-synthesized catalysts confirmed the nanostructure of MnO2 and its stabilization on the support - diatomite. The highly efficient and rapid degradation of methylene blue and methyl orange over synthesized MnO2 coated Diatomite has been carried out. The results revealed considerably faster degradation of the dyes against the previously reported data. The proposed mechanism of the dye-degradation is considered to be a combinatorial effect of chemical, physicochemical and physical processes. Therefore, the fabricated catalysts have potential application in waste water treatment, and pollution degradation for environmental remediation

    Rural tourism development in Quy river islet, Ben Tre province altogether with building new rural area

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    Researching and developing rural tourism in association with new rural construction has become a trending research in line with the Government\u27s orientation, towards development companies. By fieldwork method altogether with S.W.T.O analysis, the author team managed to survey and research potential in exploiting rural tourism in Con Quy, Ben Tre province in association with the new rural construction force. Since then, provide solutions through tourism to help preserve the cultural features of traditional farmers, humanism values are reserved and passed down in villages. Besides, it helps reconstructing of economy effciently and successfull
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