Identification of avian Mycoplasma species in commercial broilers and layers with respiratory symptoms in Balochistan

Among many avian mycoplasmas, only the Mycoplasmas gallisepticum (MG) and Mycoplasmas synoviae (MS) are responsible for causing respiratory disease in commercial poultry. This study reported for the very first time the serological occurrence of M. gallisepticum and M. synoviae in blood samples (n = 600) from sixty flocks (n = 42 broiler and n = 18 layer flocks) with respiratory symptoms in Quetta, Pishin and Kuchlak districts of Balochistan, Pakistan. Sera were tested for MG and MS antibody responses by serum plate agglutination (SPA) test and by enzyme-linked immunosorbant assay (ELISA) Synbiotics kit. It was found that M. gallisepticum antibodies in broiler flocks detected by SPA and by ELISA tests were 10.47 and 19.76%, whereas M. synoviae were 7.86 and 11.19%, respectively. In layer flocks the MG and MS antibodies detected by SPA and ELISA were 19.44, 31.66 and 8.8, 25%, respectively. The overall antibodies of MG and MS in both broiler and layer flocks tested by SPA and ELISA was found to be 13.16, 23.33 and 8.16, 15.33%, respectively. In broiler and layer flocks the presence of antibodies against both M. gallisepticum and M. synoviae were found in tested flocks with respiratory symptoms. Further studies on prevalence and diagnosis of both the M. gallisepticum and M. synoviae in causing respiratory disease in commercial broilers and layers in Balochistan are required.Key words: Mycoplasma, broilers, serum plate agglutination, enzyme-linked immunosorbent assay

Operative strategy for fistula-in-ano without division of the anal sphincter

We would like to thank Mr ER MacDonald for his contribution in data collection during the early years of the study. The material in this paper was presented as a poster at the annual meeting of the American Society of Colon and Rectal Surgeons held in Vancouver, Canada, May 2011.Peer reviewedPublisher PD

Breaking Tri-bimaximal Mixing and Large θ13\theta_{13}

The long baseline neutrino experiment, T2K, and the reactor experiment, Double Chooz will soon present new data. If we expect $\sin\theta_{13}$ to be 0.1-0.2, which is close to the present experimental upper bound, we should not persist in the paradigm of the tri-bimaximal mixing. We discuss breaking the tri-bimaximal mixing by adding a simple mass matrix, which could be derived from some non-Abelian discrete symmetries. It is found that $\sin\theta_{13}=0.1-0.2$ is expected in our model independent analysis of the generalized mass matrix for the normal or inverted hierarchical neutrino mass spectrum. On the other hand, $\sin^2\theta_{23}$ and $\sin^2\theta_{12}$ are expected to be not far from 1/2 and 1/3, respectively. As a typical example, we also discuss the $A_4$ flavor model with the 1 and 1' flavons, which break the tri-bimaximal mixing considerably. In this modified version of the Altarelli and Feruglio model, $\sin\theta_{13}$ is predicted to be around 0.15 in the case of the normal hierarchical neutrino masses $m_3\gg m_2, m_1$, and 0.2 in the case of the inverted hierarchy $m_3\ll m_2, m_1$. The form of the neutrino mass matrix looks rather interesting --- it is suggestive of other discrete symmetries as well.Comment: 10 pages, 12 figures, final versio

Hong Kong: Other Histories, Other Politics

published_or_final_versio

Chen Danqing: Painting After Tiananmen

published_or_final_versio

Dialectic of Deception

published_or_final_versio

Modelling of Violent Water Wave Propagation and Impact by Incompressible SPH with First-Order Consistent Kernel Interpolation Scheme

The Smoothed Particle Hydrodynamics (SPH) method has proven to have great potential in dealing with the wave–structure interactions since it can deal with the large amplitude and breaking waves and easily captures the free surface. The paper will adopt an incompressible SPH (ISPH) approach to simulate the wave propagation and impact, in which the fluid pressure is solved using a pressure Poisson equation and thus more stable and accurate pressure fields can be obtained. The focus of the study is on comparing three different pressure gradient calculation models in SPH and proposing the most efficient first-order consistent kernel interpolation (C1_KI) numerical scheme for modelling violent wave impact. The improvement of the model is validated by the benchmark dam break flows and laboratory wave propagation and impact experiments

Comparative study of peroxidase purification from apple and orange seeds

This paper reports the isolation and purification of peroxidase from low cost material; moreover, no significant work has been done on the isolation and purification of peroxidase from such cost effective sources (apple and orange seeds). Peroxidases had attracted considerable interest in recent years because of their activities towards a wide variety of chromogenic substances. Peroxidase activity in crude extract of apple and orange seeds was measured by recording a spectrophotometric value. Partial purification of crude enzyme extract was done by ammonium sulfate precipitation and ion exchange chromatography. It was observed that after partial purification, the enzyme activity was increased as compared to crude enzyme extract. Peroxidase from orange seed was purified up to 17.17 fold with specific activity of 10.17 U/mg and that from apple seed was 6.82 fold with specific activity of 7.53 U/mg after diethyl amino ethyl (DEAE) cellulose chromatography. It was shown that orange seed peroxidase had more activity than apple seed peroxidase in crude extract and each step of purification. Further purification was obtained through gel filtration chromatography by using sephadex-G-75 column. Peroxidase from orange and apple seeds got purified up to 30.64 and 8.34 fold with their specific activity of 18.16 and 9.20 U/mg, respectively. It is more evident that peroxidase is the most heat stable enzyme; therefore, it is concluded that it may be potentially useful for industrial purposes.Key words: Apple and orange seeds, extraction, peroxidase, purification

AudioInceptionNeXt: TCL AI LAB Submission to EPIC-SOUND Audio-Based-Interaction-Recognition Challenge 2023

This report presents the technical details of our submission to the 2023 Epic-Kitchen EPIC-SOUNDS Audio-Based Interaction Recognition Challenge. The task is to learn the mapping from audio samples to their corresponding action labels. To achieve this goal, we propose a simple yet effective single-stream CNN-based architecture called AudioInceptionNeXt that operates on the time-frequency log-mel-spectrogram of the audio samples. Motivated by the design of the InceptionNeXt, we propose parallel multi-scale depthwise separable convolutional kernels in the AudioInceptionNeXt block, which enable the model to learn the time and frequency information more effectively. The large-scale separable kernels capture the long duration of activities and the global frequency semantic information, while the small-scale separable kernels capture the short duration of activities and local details of frequency information. Our approach achieved 55.43% of top-1 accuracy on the challenge test set, ranked as 1st on the public leaderboard. Codes are available anonymously at https://github.com/StevenLauHKHK/AudioInceptionNeXt.git

Model-Driven Engineering for Artificial Intelligence - A Systematic Literature Review

Objective: This study aims to investigate the existing body of knowledge in the field of Model-Driven Engineering MDE in support of AI (MDE4AI) to sharpen future research further and define the current state of the art. Method: We conducted a Systemic Literature Review (SLR), collecting papers from five major databases resulting in 703 candidate studies, eventually retaining 15 primary studies. Each primary study will be evaluated and discussed with respect to the adoption of (1) MDE principles and practices and (2) the phases of AI development support aligned with the stages of the CRISP-DM methodology. Results: The study's findings show that the pillar concepts of MDE (metamodel, concrete syntax and model transformation), are leveraged to define domain-specific languages (DSL) explicitly addressing AI concerns. Different MDE technologies are used, leveraging different language workbenches. The most prominent AI-related concerns are training and modeling of the AI algorithm, while minor emphasis is given to the time-consuming preparation of the data sets. Early project phases that support interdisciplinary communication of requirements, such as the CRISP-DM \textit{Business Understanding} phase, are rarely reflected. Conclusion: The study found that the use of MDE for AI is still in its early stages, and there is no single tool or method that is widely used. Additionally, current approaches tend to focus on specific stages of development rather than providing support for the entire development process. As a result, the study suggests several research directions to further improve the use of MDE for AI and to guide future research in this area